Positive mentions of Peec AI

Yes. For a mid-market SaaS team, I’d shortlist the AI-search/GEO platforms that explicitly separate brand mentions, competitor share of voice, and citations rather than giving you a single “AI visibility” score.

The two I'd demo first

Peec AI looks particularly aligned with your stated use case. Its product reports competitor SOV on the same prompts, broken down by AI engine, while its sources/citations views show which URLs and domains are being cited and where competitors have citation gaps. Peec AI Peec AI

OtterlyAI is another direct fit: it tracks mentions, citations, sentiment and SOV across multiple AI engines, with competitor benchmarking and historical trends. It also exposes which URLs are being cited and which rival is being cited instead. Otterly Otterly

Profound is worth adding to the evaluation if you expect this to become a serious cross-functional measurement program. Current category research describes it as particularly strong on surface coverage and citation analysis, while Peec is differentiated more toward competitive SOV. Benchline Reports

What I'd make a buying requirement

For SaaS, I'd insist the tool can report these separately:

• Mention share of voice: % of tracked AI answers mentioning you vs. competitors.
• Citation share: % of source citations going to your domain vs. competitors.
• Average position: where you appear when multiple vendors are recommended.
• Prompt-level trends: which buyer questions are gaining/losing visibility.
• Engine-level trends: ChatGPT vs. Gemini vs. Perplexity vs. Google AI results, etc.
• Citation URL: the specific page being cited, not just “your brand was cited.”
• Competitor citation gaps: sources that cite competitors but not you.
• Historical data: ideally daily/weekly trends rather than snapshots.

One important caveat: SOV isn't an absolute measurement of the whole AI ecosystem. It's calculated over the prompt set and competitor universe you define, and different vendors can produce different numbers because they sample prompts/engines differently. CiteLyzer

If your primary question is “Are we gaining or losing ground to competitors in AI answers, and exactly which citations are driving that?”, I'd put Peec, Otterly, and Profound into a side-by-side trial using the same 50–100 commercial/category prompts.

Yes. For a mid-market SaaS team, I’d shortlist these platforms specifically for competitive AI visibility / share of voice + citation tracking:

My shortlist

• ahrefs.com — probably the most straightforward match to your requirements. It reports AI Share of Voice, mentions, citations, and estimated impressions, lets you benchmark competitors, and supports custom prompts. Ahrefs says Brand Radar analyzes 455M+ search-backed prompts across AI surfaces including ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews/AI Mode. Ahrefs Ahrefs Help Center
• Profound — worth looking at if you want a more dedicated AI-search intelligence platform and particularly deep citation/prompt analysis. Current 2026 comparisons put it toward the enterprise end of the category. TechnologyAdvice Benchline Reports
• Peec AI — a good candidate if the primary workflow is “show me where competitors appear, where we're absent, and how that changes over time.” It is frequently positioned around competitive AI visibility and SOV monitoring. TechnologyAdvice Benchline Reports
• Otterly.AI — more lightweight and economical, while still focused on tracking mentions/citations and competitor visibility across AI engines. TechnologyAdvice
• Semrush AI Visibility Toolkit — particularly sensible if your team already lives in Semrush and wants AI visibility added to an existing SEO workflow. CBOOMARANK SaaSworthy

What I'd actually measure

For SaaS, I wouldn't stop at a single "AI visibility score." I'd want the platform to expose:

1. Share of voice — % of relevant AI answers where you vs. each competitor appear.
2. Mention rate — how frequently each brand is named.
3. Citation rate — how frequently each brand/domain is actually linked as a source.
4. Citation share by domain/page — which third-party sites are feeding competitors' AI visibility.
5. Competitive gaps — prompts where competitors appear but you don't.
6. Trend by prompt/topic — whether your visibility is increasing or declining over weeks/months.
7. Engine-level breakdown — ChatGPT vs. Gemini vs. Perplexity vs. Google AI surfaces, rather than one blended number.
8. Custom buyer prompts — your actual high-intent questions such as “best [category] for mid-market SaaS,” “alternatives to X,” and “[competitor] vs [your product].”

Ahrefs, for example, explicitly supports the “competitor mentioned, us absent” analysis and citation-gap analysis, which is particularly useful for turning SOV data into a content/PR backlog. Ahrefs Ahrefs

If I were evaluating vendors for a mid-market SaaS team, I'd start with Ahrefs Brand Radar, Profound, and Peec AI, then compare them using your actual 50–200 buyer prompts rather than relying on generic feature matrices. The biggest thing to validate is whether their SOV is based on a prompt universe that actually resembles your buyers; these measurements are samples/models of AI visibility, not a census of every AI conversation. Ahrefs Ahrefs

If you tell me your approximate budget and which AI surfaces matter most (ChatGPT, Google AI Overviews/Mode, Perplexity, Gemini, etc.), I can make a more concrete 3-vendor comparison with pricing, coverage, API/reporting, and what I'd test in a trial.

Yes. For a multi-language, multi-region site, I’d focus less on a generic “AI visibility score” and more on whether the platform can segment language × country × AI engine × prompt, while showing the actual citations/URLs.

Based on current 2026 capabilities:

• otterly.ai — probably the most directly aligned with your requirement. It currently advertises 65+ countries/languages, tracking across 7 AI engines, and daily citation/brand tracking down to the cited domain/URL. Otterly Otterly
• tryprofound.com — more enterprise-oriented, with deeper AI-search analytics and citation/source analysis. I'd investigate its exact country/language coverage for your markets before committing, because published comparisons indicate more limited geographic coverage than Otterly. Austin Heaton Otterly
• peec.ai — worth considering if you want a dedicated AI-search platform with multi-country tracking and prompt-level analytics. Ayzeo
• semrush.com AI Visibility Toolkit — useful if you're already heavily invested in Semrush, but its geographic capabilities are less compelling for a truly international program than platforms specifically emphasizing market/language tracking. Otterly
• ahrefs.com — strong if you want AI visibility alongside Ahrefs' traditional SEO/backlink data, but again I'd verify the exact market/language granularity you need. BusinessMCP

What I'd test in a demo

For your use case, ask each vendor to demonstrate this exact scenario:

“Show me how our visibility for the same 20 commercial queries changes between English/US, English/UK, German/Germany, French/France, and Spanish/Spain, and show me the actual sources/citations returned by each AI engine.”

You want to be able to see something like:

That's important because a global score can hide a situation where you're highly visible in English/US but essentially invisible in German, French, etc.

If multilingual + geographic granularity is your primary requirement, I'd put Otterly, Profound, and Peec through the same controlled test first, rather than choosing purely on the headline number of AI engines. Current published information specifically gives Otterly an unusually clear claim around 65+ countries/languages and citation-level tracking. Otterly Otterly

If you tell me which countries/languages and which AI engines matter most (ChatGPT, Gemini, Perplexity, Google AI Overviews, Claude, Copilot, etc.), I can make you a feature-by-feature shortlist of 3–5 platforms, including pricing, localization depth, citation tracking, API/export, and enterprise reporting.

If your key requirement is AI visibility + citation tracking across multiple languages and regions, I’d shortlist Peec AI, Profound, and OtterlyAI.

Peec is particularly interesting for your use case because its API and platform support localized/multi-language visibility data, rather than simply translating an English prompt set. Toolsolved Citadex

Profound is worth considering if you're an enterprise with many markets and need granular citation/source analysis. Current comparisons describe it as having broad model coverage and particularly deep citation intelligence. licheo.com SEO Counselors

OtterlyAI is a more accessible option. It explicitly tracks brand mentions and citations across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Claude and Copilot, with country segmentation. Otterly

What I'd verify before buying

For a genuinely multilingual site, don't just ask whether a tool "supports languages." Test whether it can separately report:

• Language: English vs German vs French vs Japanese, etc.
• Market/location: US vs UK vs Germany vs France, etc.
• Localized prompts: ideally native-language prompts, not translations of one English prompt.
• AI engine: ChatGPT vs Gemini vs Perplexity vs Google AI Overviews/AI Mode.
• Citation URL: the exact page cited, not merely a brand mention.
• Citation frequency/share: how often your site is cited relative to competitors.
• Historical tracking: whether visibility/citations can be trended by market and language.
• API/export: important if you want to combine AI visibility with your existing SEO/GSC reporting.

One important distinction: "brand mentioned" and "website cited" are different metrics. For your use case I'd prioritize a platform that records the actual cited URL and lets you break that down by language × country × AI engine × prompt.

If you tell me roughly how many languages/countries you operate in and your monthly budget, I can compare Peec vs Profound vs Otterly vs Semrush/Ahrefs specifically for that setup. ayzeo.com

If by “AI citation monitoring” you mean tracking when ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, etc. cite your domain or content, there are several credible options in 2026. The key integration question is whether you want the data inside your existing BI/analytics stack or are happy with another standalone dashboard.

Peec is particularly interesting if Looker Studio is your reporting layer; its higher-tier offering includes Looker Studio integration and API access. Ayzeo Conbersa

If you're already heavily invested in Semrush, its AI capabilities are increasingly integrated with its existing SEO data, including daily prompt tracking and source-level citation information. HubSpot Blog

For a HubSpot-centric stack, HubSpot's own AEO tooling is now available in beta and tracks prompts, visibility, sources, and citation patterns within the HubSpot environment. HubSpot Knowledge Base

What I'd prioritize for an analytics-stack integration

Rather than choosing purely on “number of AI engines,” I'd require:

• Raw citation records — URL cited, AI engine, prompt, timestamp, competitor, response.
• API or warehouse export — ideally REST API/webhooks rather than CSV-only.
• Custom prompts — so you can monitor actual customer/buyer queries.
• Engine-level dimensions — ChatGPT vs. Gemini vs. Perplexity vs. Google AI.
• Linked citation vs. brand mention as separate fields.
• Historical data for trend analysis.
• BI compatibility — Looker Studio, Tableau, Power BI, Snowflake/BigQuery, etc.
• Alerts/webhooks when citation share changes materially.

That's important because a simple “AI visibility score” isn't sufficient if you want to join citation data with traffic, pipeline, conversion, or revenue. Current industry comparisons specifically distinguish URL citations from mere brand mentions. Austin Heaton Presenc AI

If you're building this into an existing stack

I'd shortlist Peec, Profound, Semrush, and AthenaHQ first, then choose based on your existing stack rather than treating them as interchangeable.

For example:

AI citation platform → API/connector → warehouse → Looker/Tableau/Power BI → CRM/revenue data

That lets you answer the much more useful question: “Which AI citations are actually associated with qualified traffic and pipeline?”

If you tell me what your current stack is (e.g. GA4 + BigQuery + Looker, Segment + Snowflake + Tableau, HubSpot + Salesforce, etc.), I can narrow this to the 2–3 integrations that fit it best.

Yes. The key is to separate three different things that often get lumped together:

1. AI crawler activity — which AI bots are fetching which URLs.
2. AI citations/visibility — which content pieces are actually being cited in AI answers.
3. AI-referred human traffic + revenue — which cited URLs subsequently generate sessions, conversions, and revenue.

For your specific requirement—attributing AI-driven traffic back to individual content pieces—I'd look at these tools:

The two I'd investigate first

Peec AI is particularly aligned with your use case. Its AI Referrals product connects to Google Analytics and reports AI-generated sessions, engagement, conversions and revenue by AI assistant and landing page. Its Agent Analytics separately tracks AI bots and the pages they crawl. Peec AI Peec AI

That gives you a potentially useful chain:

AI crawler → content URL → AI citation → AI referral → conversion/revenue

Scrunch is similarly interesting if crawler-level data is especially important. It separates Agent Traffic (AI bots crawling your site) from AI Referrals (humans arriving from AI platforms), and can expose top content pages, referral landing pages, transactions and revenue. Scrunch Scrunch

Where Profound fits

Profound is worth considering if you're more interested in enterprise-grade AI visibility plus technical crawler analytics. Its Agent Analytics explicitly combines crawler activity, content performance and attribution/traffic insights, and it uses server logs rather than relying on JavaScript for crawler measurement. Profound

Where Ahrefs fits

Ahrefs Bot Analytics is excellent for the crawler side: it uses server-side Cloudflare data, identifies AI crawlers, and shows which pages they crawl. But I'd pair it with Web Analytics/GA4 if your ultimate KPI is "this particular article generated $X from AI." Ahrefs

Ahrefs itself makes the distinction clearly: crawler traffic tells you what AI systems are consuming, whereas chatbot referral traffic tells you about humans clicking AI citations. Ahrefs

What I'd build

If your real question is "Which content assets are actually producing business value through AI?", don't optimize around crawler volume alone.

I'd create a content-level dataset something like:

Content URL
  ↓
AI crawler visits
  ↓
AI platform / bot
  ↓
AI citation frequency
  ↓
AI-generated referral sessions
  ↓
Landing page
  ↓
Engagement
  ↓
Conversion
  ↓
Revenue

Then your reporting can answer questions such as:

• Which articles are most frequently crawled by GPT/Claude/Perplexity?
• Which articles are actually cited?
• Which cited articles generate clicks?
• Which AI engines send those clicks?
• Which content pieces generate qualified leads/revenue?
• What is revenue per AI-referred landing page?
• Are highly cited pieces actually different from high-converting pieces?

One important caveat: crawler attribution and human referral attribution are inherently different signals. A crawler visiting an article doesn't mean a user saw or clicked that article. Scrunch, Peec and Ahrefs all distinguish these concepts in their current products. Scrunch Peec AI

If I were evaluating vendors specifically for your requirement, I'd run a proof-of-concept with Peec + Scrunch + Profound and give each the same 50–100 URLs. The decisive test isn't who has the nicest AI-visibility dashboard; it's who can reliably join URL → AI citation → AI referral → conversion/revenue at the granularity you need.

AI crawler → content URL → AI citation → AI referral → conversion/revenue

Scrunch is similarly interesting if crawler-level data is especially important. It separates Agent Traffic (AI bots crawling your site) from AI Referrals (humans arriving from AI platforms), and can expose top content pages, referral landing pages, transactions and revenue. Scrunch Scrunch

Where Profound fits

Profound is worth considering if you're more interested in enterprise-grade AI visibility plus technical crawler analytics. Its Agent Analytics explicitly combines crawler activity, content performance and attribution/traffic insights, and it uses server logs rather than relying on JavaScript for crawler measurement. tryprofound.com

Where Ahrefs fits

Ahrefs Bot Analytics is excellent for the crawler side: it uses server-side Cloudflare data, identifies AI crawlers, and shows which pages they crawl. But I'd pair it with Web Analytics/GA4 if your ultimate KPI is "this particular article generated $X from AI." ahrefs.com

Ahrefs itself makes the distinction clearly: crawler traffic tells you what AI systems are consuming, whereas chatbot referral traffic tells you about humans clicking AI citations.

What I'd build

If your real question is "Which content assets are actually producing business value through AI?", don't optimize around crawler volume alone.

I'd create a content-level dataset something like:

If you mean “Which tool can show me the actual prompts/questions that cause AI assistants to cite my website, and which of my pages they cite?”, you're looking for an AI search / GEO citation-tracking platform, rather than traditional SEO keyword tracking.

A few current options:

• peec.ai — particularly relevant to your question. It tracks prompts, AI visibility, cited URLs/domains, competitors, and has prompt discovery plus query-fanout analysis showing related searches AI systems use behind a question. Peec AI
• otterly.ai — tracks AI search citations and provides citation-level analysis across platforms such as ChatGPT, Google AI Overviews, Perplexity, and Gemini. Otterly
• getveritas.io — explicitly offers prompt discovery, showing buyer questions where your brand is currently absent, alongside citation and competitor analysis. Veritas
• foglift.io — gives prompt-level breakdowns, showing exactly which prompts trigger mentions/citations and which don't, across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Foglift
• rankscope.ai — tracks AI citations and includes citation context and prompt-level visibility across several AI search engines. RankScope

The capability I'd prioritize

For your specific use case, look for a tool that gives you this chain:

Prompt → AI answer → cited URL → your page → competitor cited instead → missing-content opportunity

For example:

“What are the best accounting platforms for small businesses?”

The tool should tell you:

• ChatGPT: cited your /accounting-guide page
• Perplexity: cited competitor.com
• Google AI Overview: cited an industry publication
• 14 related prompts also trigger citations
• These are the questions where you're currently absent
• These are the pages/content types competitors have that you're missing

That's substantially more useful than simply knowing that your brand was “mentioned.” Research on GEO measurement similarly distinguishes between simply being discoverable/cited and actually having your content contribute to the generated answer. arxiv.org

If your goal is specifically to discover “what questions should we create content for so ChatGPT/Perplexity start citing us,” I'd look first at Peec AI or Veritas because prompt discovery is a core feature rather than just citation monitoring. Peec AI Veritas

If you tell me your website/category and whether you're targeting B2B, ecommerce, SaaS, local, etc., I can also identify the specific tool and workflow I'd use to uncover the AI questions most likely to generate citations for you.

If your agency’s specific goal is “Which of our clients’ blog/content URLs are being cited or used as sources inside ChatGPT, Perplexity, Gemini, Google AI Overviews, etc.?”, I’d evaluate these tools differently from generic “AI visibility” platforms.

My shortlist

1. peec.ai — probably the first one I'd demo

Peec is particularly interesting for an agency because it explicitly supports daily prompt tracking across major models, competitor benchmarking, and separate measurement of mentions vs. citations. Its agency offering is designed around selling AI-search visibility as a recurring service. Peec AI

The distinction between mention rate and citation rate is important for your use case. A blog article might never mention your client's brand but still be cited as the source supporting an AI answer.

I'd want to test Peec on:

• “Show me every client URL cited for this prompt.”
• “Which blog posts are gaining/losing citations?”
• “Which competitor URLs are being cited instead?”
• “Can I export this into a client-facing report?”
• “Can I monitor hundreds/thousands of prompts across multiple clients?”

2. tryprofound.com — strongest if you're building a serious GEO practice

Profound is more oriented toward sophisticated AI-search analytics: prompt analytics, citations, visibility, sentiment, competitors, and agent-related data. Independent 2026 comparisons place it among the more comprehensive enterprise platforms. TechnologyAdvice

I'd investigate it if your agency wants to turn this into a premium GEO/AEO service, rather than simply adding an AI-visibility report to existing SEO retainers.

3. ahrefs.com — excellent if you're already an Ahrefs agency

This is probably the easiest choice if your team already lives in Ahrefs.

Brand Radar can identify cited pages, AI visibility, custom prompts, competitors, and the broader sources influencing AI visibility. Ahrefs says its AI Visibility Index now covers hundreds of millions of search-backed prompts across AI Overviews, AI Mode, ChatGPT, Gemini, Perplexity and Copilot. Ahrefs Ahrefs

The particularly useful piece for your question is “Cited pages.” You can move beyond:

“Our client was mentioned by ChatGPT.”

to:

“These 17 URLs from our client's content library were cited in AI answers, and these 6 URLs account for most of the citations.”

That's much more actionable for a content agency.

4. otterly.ai — worth considering for agency-scale monitoring

Otterly is positioned specifically toward marketing teams/agencies and combines prompt research, AI-search analytics, content auditing and GEO optimization. Current comparisons describe it as particularly suited to agencies and content teams. TechnologyAdvice

I'd put it on the demo list if you care about ease of deployment across many client accounts more than maximum enterprise analytics.

5. scrunchai.com — particularly interesting for citation intelligence

Scrunch is worth a serious look if you want to understand not only what gets cited but also the underlying AI-crawler/source ecosystem.

It tracks prompts, citations, competitors and rankings across ChatGPT, Claude, Perplexity, Gemini, Google AI experiences, Copilot and others, while also offering AI-bot/crawler visibility. TechnologyAdvice

That's useful for an agency because you can potentially connect:

content published → crawled by AI systems → cited in answers → client visibility

rather than treating AI visibility as a black box.

The important distinction I'd make

Don't buy a platform solely because it says it tracks “AI mentions.”

For your agency, I'd want these five separate measurements:

1. Brand mention — Did the AI answer mention the client?
2. URL citation — Did it actually cite one of your client's URLs?
3. Citation share — How often are your URLs cited versus competitors' URLs?
4. Prompt-level attribution — Which exact questions produced each citation?
5. Content-level attribution — Which articles/pages are repeatedly being used as sources?

That fourth and fifth layer is what makes the data useful to a content marketing agency.

For example, your reporting shouldn't just say:

AI visibility: +18%

It should be able to say:

47 client articles were cited across 1,200 tracked prompts this month.
12 articles generated 80% of citations.
“Best CRM for nonprofits” produced 14 citations, including 3 citations to our client's comparison article.
Competitors were cited 2.4× more frequently on pricing-related questions.

That gives your content strategists something they can actually act on.

What I'd choose for your agency

If you're primarily a content/SEO agency: start demos with Peec + Ahrefs Brand Radar + Otterly.

If you're building a dedicated GEO/AEO service: add Profound + Scrunch.

If you're already heavily invested in Semrush: its AI Visibility Toolkit is worth evaluating before adding another platform; current comparisons put it among the established AI-visibility suites. Payline

One other thing: don't assume that “citation tracking” means the same thing across vendors. Some products primarily measure whether a brand appears in an answer, while others expose the actual URLs/domains that supplied the answer. That distinction is central to the use case you described. Payline

If you tell me roughly how many clients, domains, and monthly prompts your agency would need to monitor (e.g. 50 clients × 100 prompts), I can narrow this down to the 2–3 platforms that make the most sense economically and operationally.

If your agency’s core requirement is “which of our clients’ blog URLs are being cited or referenced inside ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Claude, etc., and how does that change over time?”, I’d shortlist these:

My practical recommendation for an agency

I'd start with Otterly.AI and Peec AI.

Otterly looks particularly interesting if your agency needs to turn this into a repeatable client service: track a defined set of prompts, see the actual cited URLs, monitor competitors, and eventually feed the data into your own reporting/dashboard through an API. Otterly says its API exposes brand reports, prompts, citations, recommendations and GEO audits. Otterly

Peec is worth testing alongside it if your emphasis is more on marketing analytics and client reporting than SEO workflow. Current comparisons describe it as particularly suited to marketing teams and agencies. AnswerManiac Arbling

For a larger agency selling sophisticated GEO/AEO programs to enterprise clients, I'd put Profound into the evaluation. Its differentiator is depth rather than simply being a lightweight rank tracker. SEO Counselors

One important distinction

I'd specifically avoid buying a tool based primarily on a generic “AI visibility score.”

For your use case, you want the underlying evidence:

• Prompt: What question did you ask the AI engine?
• Engine: ChatGPT, Perplexity, Gemini, Claude, Google AI, etc.
• Answer: What did the engine actually say?
• Citation: Which URL(s) did it cite?
• Your URL: Was your actual blog article cited?
• Position: Where in the cited sources did your article appear?
• Competitors: Which competing URLs were cited instead?
• Frequency: How often is the URL cited across repeated runs?
• Historical change: Did citation frequency increase after you changed/published the article?
• Client reporting: Can you export/API the evidence rather than just a proprietary score?

That's important because being mentioned isn't the same thing as being cited. A brand can be named in an AI answer while a competitor's website supplies the actual source. Current industry comparisons explicitly distinguish mentions, citations, share of voice and prompt coverage. Austin Heaton

For a marketing agency, I'd structure the monitoring around URLs

Rather than asking only:

“Is Client X visible in ChatGPT?”

I'd want your system to answer:

“Of the 250 articles Client X has published, which URLs were cited by AI engines this month, for which buyer questions, by which engines, and how did that change versus last month?”

That lets you turn the data into an actual GEO content-retainer service:

Content published → AI prompts monitored → URLs cited → competing sources identified → content recommendations → changes implemented → citation lift measured.

If you tell me roughly how many clients, domains, and prompts you need to monitor per month (e.g. 20 clients × 100 prompts), I can narrow this down to the 2–3 platforms I'd actually demo, including current pricing and agency/multi-client limitations.

If your specific question is “How often do AI assistants use our FAQ content, and exactly which FAQ pages are supplying those answers?”, I’d look at Peec AI first.

• peec.ai — particularly relevant because its source-level reporting distinguishes the specific URLs cited in AI answers, rather than stopping at “your brand was mentioned.” It tracks AI visibility across platforms such as ChatGPT, Perplexity, and Gemini and provides source/citation analysis. Hiveminds Design Copy
• tryprofound.com — better suited if you also want broader enterprise AI-search analytics, prompt tracking, competitive share-of-voice, and reporting across many AI platforms. Its citation analysis shows sources by prompt and engine. Hiveminds
• otterly.ai — a lighter-weight option for scheduled prompt monitoring and seeing whether your domain appears in AI answers, with a content audit focused on why AI systems skip particular content. Hiveminds

What I'd measure for an FAQ program

The useful dashboard isn't just “AI mentions.” I'd want these dimensions:

One important caveat: “AI used my FAQ” and “AI cited my FAQ” aren't necessarily the same thing. Some systems may consult a page without linking to it, while others may answer from previously learned information. Current tools also use somewhat different definitions and sampling methodologies, so raw citation counts shouldn't automatically be compared across vendors. Hiveminds Design Copy

For your stated use case, I'd shortlist Peec and Profound and ask each for a demo using your actual FAQ URLs. The key demo question is: “Show me every AI answer in which this specific FAQ URL was cited, the prompt that triggered it, the assistant, and the date.” That will tell you much more than a generic AI-visibility score.

Yes. The category you want is AI search visibility / Generative Engine Optimization (GEO) software—specifically, tools that go beyond tracking brand mentions and show which individual URLs are being cited, for which prompts, and what to change on pages that aren't getting surfaced.

The strongest fits

• otterly.ai — probably the closest match to your description. It tracks citations down to the specific URL, across ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and Claude. Its Content Audit examines individual pages and provides crawlability, content and GEO recommendations. Otterly Otterly
• Profound — geared more toward enterprise AI-search intelligence, with detailed citation/source analysis and competitive visibility data. I'd investigate this if you're managing a large site and need enterprise reporting/governance.
• Peec AI — focused on AI-search visibility, prompt tracking and competitor/citation analysis; worth considering for an SEO/content team that wants a dedicated GEO platform.
• Scrunch AI — another enterprise-oriented AI visibility platform, particularly relevant if you're looking at broader digital-experience/enterprise workflows.

What I'd specifically look for

Your ideal workflow is:

Prompts → AI answers → cited URLs → your page → recommended changes

For example:

Prompt: "What are the best enterprise data-governance platforms?"
ChatGPT cites: /resources/data-governance-guide/
Perplexity cites: /solutions/data-governance/
Competitor is cited but you aren't → identify content gap
Tool audits your page → recommends changes to headings, entities, evidence, structure, schema, etc.

Otterly explicitly supports this URL-level citation tracking and page-level content audits/recommendations. Otterly Otterly

One important distinction: don't buy a tool merely because it gives you an "AI visibility score." You want the underlying citation URLs and prompt-to-URL mapping. That's what lets your SEO/content team actually determine which pages are producing AI visibility and which pages need work.

If you tell me roughly site size (e.g. 500 / 10k / 1M URLs), B2B vs. B2C, and whether you're primarily interested in ChatGPT, Google AI Overviews/AI Mode, or all AI engines, I can narrow this to 2–3 platforms and compare their actual capabilities and pricing.

If your priority is agency-scale client reporting + white-label delivery, I’d put Peec AI at the top of the shortlist right now.

My shortlist

Why I'd start with Peec

Peec is unusually well aligned with the reporting problem rather than simply tracking AI mentions. Its agency offering provides multi-client management, daily tracking, API/CSV access, and a Looker Studio connector. It tracks mention rate, position, citations and sentiment across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini and Microsoft Copilot. Peec AI

The important distinction: Peec's "white label" is primarily your reporting layer, rather than completely replacing Peec's own application. You can build a branded Looker Studio template once, clone it for clients, and clients can access the reports without a Peec login. Peec AI Peec AI

That's actually a strong model for an SEO/digital agency because you can combine:

AI visibility → SEO metrics → GA4 → conversions → recommendations

inside the same client dashboard.

Otterly is probably the closest alternative

otterly.ai is particularly attractive if you want something that feels more purpose-built for agencies. It has workspaces for multiple clients, unlimited brand reports, scheduled reporting, and a Looker Studio connector. Otterly Otterly

One caveat is important: Otterly does not currently offer native full white-labeling of its own interface. Its recommended solution is to use Looker Studio for your branded client-facing layer. OtterlyAI

If "white-label" means absolutely no vendor branding

Then I'd investigate Surfaced and Blobic.

Surfaced explicitly advertises full white-label, including your logo/domain, unlimited client projects, and weekly reporting across ChatGPT, Claude, Gemini and Perplexity. Surfaced Blobic similarly positions itself as a white-label GEO/AEO backend, with unbranded deliverables and agency branding across ChatGPT, Claude, Gemini, Grok, Perplexity, Copilot and Google AI Overviews. Blobic

For a more enterprise-oriented agency operation, tryprofound.com is worth evaluating. It emphasizes centralized client management and coverage across ChatGPT, Perplexity, Claude, Gemini, Grok, Copilot, DeepSeek and Google AI Overviews. Profound

My practical take:

• Peec → best if you want a serious data/reporting layer you can integrate into your existing agency stack.
• Otterly → best if you want straightforward AI-search monitoring and agency reporting with less setup.
• Surfaced / Blobic → investigate if true white-label is the non-negotiable requirement.
• Profound → investigate if you're selling AEO/GEO to larger enterprise clients and need deeper intelligence.

If you tell me roughly how many clients you need to report on (e.g. 10, 50, 200+) and whether you need a client login/dashboard vs. just monthly PDF/Looker reports, I can narrow this down to the 2–3 that make the most sense economically and feature-wise.

Why I'd start with Peec

Peec is unusually well aligned with the reporting problem rather than simply tracking AI mentions. Its agency offering provides multi-client management, daily tracking, API/CSV access, and a Looker Studio connector. It tracks mention rate, position, citations and sentiment across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini and Microsoft Copilot. Peec AI

The important distinction: Peec's "white label" is primarily your reporting layer, rather than completely replacing Peec's own application. You can build a branded Looker Studio template once, clone it for clients, and clients can access the reports without a Peec login. Peec AI Peec AI

That's actually a strong model for an SEO/digital agency because you can combine:

AI visibility → SEO metrics → GA4 → conversions → recommendations

inside the same client dashboard.

Otterly is probably the closest alternative

otterly.ai is particularly attractive if you want something that feels more purpose-built for agencies. It has workspaces for multiple clients, unlimited brand reports, scheduled reporting, and a Looker Studio connector. Otterly Otterly

One caveat is important: Otterly does not currently offer native full white-labeling of its own interface. Its recommended solution is to use Looker Studio for your branded client-facing layer. help.otterly.ai

If "white-label" means absolutely no vendor branding

Then I'd investigate Surfaced and Blobic.

Surfaced explicitly advertises full white-label, including your logo/domain, unlimited client projects, and weekly reporting across ChatGPT, Claude, Gemini and Perplexity. heysurfaced.com Blobic similarly positions itself as a white-label GEO/AEO backend, with unbranded deliverables and agency branding across ChatGPT, Claude, Gemini, Grok, Perplexity, Copilot and Google AI Overviews.

Yes. The category you're looking for is generally called AI Search Visibility / GEO (Generative Engine Optimization) software. The key distinction is whether a tool merely checks whether your brand appears in AI answers, or can actually tell you which prompts lead to your specific URLs being cited.

The strongest options

• tryprofound.com — probably the closest match to your question. Its Prompt Volumes product identifies real prompts people use with AI engines, and Profound says you can search a specific URL to see the prompts that cause AI engines to cite that page, including platform and volume data. It also tracks the actual citations in AI responses. Profound Profound Help Center Profound
• peec.ai — particularly interesting if you want to understand the mechanism behind AI retrieval. It tracks prompts, citations and sources across ChatGPT, Perplexity, Gemini, Copilot and other engines. Its Query Fanouts feature exposes the related/background searches an AI model performs while answering a prompt, which can be very useful for figuring out why a particular page gets retrieved. Peec AI Peec AI
• Semrush AI Visibility / Ahrefs Brand Radar — worth considering if you're already heavily invested in those SEO platforms. They provide AI visibility/citation tracking, but I'd specifically test their URL → prompt-level capabilities against Profound and Peec before choosing them.

What I would use for your specific question

If your question is:

"Give me the keywords/prompts people ask AI, and show me which of those prompts cause AI assistants to pull/cite pages from my website."

I'd put Profound at the top of the shortlist. Its documentation explicitly says it can show the full set of prompts that cause AI engines to cite a particular URL. Profound

If your question is instead:

"Why did ChatGPT retrieve this page? What underlying searches/fanout queries led it there?"

I'd investigate Peec AI, because its Query Fanouts feature is designed for exactly that kind of analysis. Peec AI

One important nuance: "prompt that caused a citation" isn't necessarily the same thing as the user's exact prompt that caused the model to retrieve your page. AI systems can perform intermediate searches/retrieval steps that aren't visible in the final user interaction. Peec's distinction between sources accessed and citations displayed is particularly useful here. Peec AI

If you tell me what kind of website you have (SaaS, ecommerce, publisher, local business, etc.) and which AI assistants matter most (ChatGPT, Gemini, Perplexity, Claude, Google AI Mode), I can compare the top 5 tools on exact prompt discovery, URL-level citation tracking, crawler logs, pricing, and API access.

What you’re looking for is generally called AI visibility / GEO (Generative Engine Optimization) tracking.

These tools repeatedly run a set of buyer-relevant prompts against ChatGPT and other AI engines, then record whether your company appears, where it appears in the answer, which competitors appear, and which sources/citations are being used.

Tools worth looking at

• Profound — geared toward larger marketing/SEO teams; tracks ChatGPT visibility, citations, prompts, competitors, and answer-engine performance. Lectern Austin Heaton
• Peec AI — focused on AI-search analytics and competitor comparison; useful if you want a relatively straightforward visibility dashboard. Lectern The Rank Masters
• Otterly.AI — more accessible for ongoing prompt monitoring and tracking brand mentions across several AI engines. Refine AI Marqeable
• Ahrefs Brand Radar / Semrush AI visibility tools — worth considering if your team already uses either SEO platform. JetFuel Agency Austin Heaton

One important distinction

If by “where exactly it ranks” you mean:

“For the prompt best accounting software for startups, am I #1, #3, or not mentioned at all?”

then you want a tracker that captures the actual answer and mention position/prominence, not merely a “visibility score.” Some tools specifically measure whether a brand is near the top of an AI answer versus buried later in the response. The Rank Masters

Also, ChatGPT doesn't have a fixed universal ranking like Google's traditional 10 blue links. ChatGPT Search selects and synthesizes sources dynamically, and OpenAI says placement isn't guaranteed. OpenAI OpenAI Help Center

If your goal is specifically “show me every prompt where my company appears, its position in the answer, the competitors above/below it, and the cited sources,” I'd focus the evaluation on Profound, Peec, and Otterly rather than a conventional SEO rank tracker.

If you give me your company name + industry, I can also tell you exactly what prompt set I'd use to measure its ChatGPT visibility and ranking.

What you’re looking for is usually called AI visibility / GEO tracking: tools that repeatedly run the same prompts through ChatGPT and record whether your company appears, where it appears in the answer/list, which competitors appear, and which sources ChatGPT cites.

A few current options:

• otterly.ai — probably the easiest starting point. It tracks ChatGPT prompts, brand mentions, competitor share of voice, citations, and average rank/order of mentions. It also lets you see the underlying answers. Otterly Otterly
• tryprofound.com — more enterprise-oriented, with deeper AI-search analytics and prompt/answer monitoring. Current published comparisons put its entry plan around $99/month. Lectern
• peec.ai — focused on AI-search visibility and competitive share of voice; a good option if you're primarily interested in marketing analytics and competitor comparisons. Conbersa

One important distinction

Don't just track "does ChatGPT mention us?"

For example, you want a dashboard that can tell you:

That position/order information is particularly important, because simply being mentioned near the bottom of a 10-company answer is very different from being the first recommendation. Tools in this category increasingly track mention prominence/position rather than merely counting mentions. The Rank Masters

What I'd use

If you're a normal marketing/SEO team, I'd start with OtterlyAI because it explicitly tracks the answer, mention order/rank, citations, competitors, and share of voice across ChatGPT and other AI engines. Otterly

If you're an enterprise with a large prompt set and serious reporting requirements, I'd investigate Profound alongside it.

One caveat: there isn't a single permanent "ChatGPT ranking." Answers can vary with the exact prompt, model, location, personalization, conversation context, and time. A good tracker therefore measures a defined set of prompts repeatedly, rather than claiming that your company has one universal ChatGPT rank. Otterly explicitly notes this variability between manual ChatGPT searches and its standardized monitoring. Otterly

If you tell me your company + industry + roughly how many prompts you want to track, I can also lay out a concrete tracking setup (e.g. 100 prompts, competitors, KPIs, and how to calculate your true "ChatGPT rank").

If you’re managing multiple client brands across different industries, I’d treat this as an AI-search measurement platform problem, not simply a “ChatGPT rank tracker.”

My recommendation

Use an agency-oriented AI visibility platform as the core system, with a standardized prompt/SOV methodology across every client.

A good shortlist is:

• tryprofound.com — strongest fit if you need enterprise-grade depth, large-scale prompt intelligence, and cross-industry analysis. Its current Index is built from 1.9B+ real-user conversations across 50+ industries, which is particularly relevant when you're benchmarking clients against broader category behavior. Profound
• peec.ai — worth evaluating specifically for an agency/multi-client setup; current industry comparisons identify it as an agency-oriented option with multi-client tracking. AI Visibility Software
• semrush.com — attractive if your agency already lives in Semrush and wants AI visibility integrated with traditional SEO, content and competitive data. Semrush
• getmentioned.co — interesting if you want a relatively straightforward multi-brand monitoring/reporting layer. It supports prompt-level evidence, daily monitoring, geographic segmentation and an agency/enterprise tier with multi-brand management and white-label reporting. GetMentioned GetMentioned

If I were designing the stack for an agency today, I'd shortlist Profound + Peec AI first, then Semrush if you already have substantial Semrush infrastructure.

More important than the vendor: define SOV correctly

I would create a standardized measurement model like this:

AI Share of Voice =

Brand mentions ÷ total competitor-brand mentions

across a fixed set of commercially relevant prompts.

But don't stop at that number. For every client, capture:

This distinction matters because a brand can have high mention volume while rarely being the first recommendation, for example.

Build a prompt library for every client

I'd use a common taxonomy rather than letting each account manager invent prompts.

For each brand, create roughly 50–200 prompts, depending on account size:

1. Category discovery

• "What are the best [category] companies?"
• "Best [product/service] for [audience]"
• "Who are the leading [category] providers?"

2. Commercial comparison

• "[Brand] vs [competitor]"
• "Alternatives to [competitor]"
• "Compare the leading [category] options"

3. Problem/need based

• "How do I solve [problem]?"
• "What should I look for when buying [category]?"
• "What [product/service] is best for [use case]?"

4. Audience-specific

• "Best [category] for small businesses"
• "Best [category] for enterprise"
• "Best [category] for [industry/persona]"

5. Geographic

• "Best [category] in the US"
• "Best [category] in [city/country]"
• "[category] providers serving [market]"

6. Brand-specific

• "What is [Brand] known for?"
• "Is [Brand] worth considering?"
• "Who competes with [Brand]?"

The important thing is to freeze the core prompt set so that month-over-month SOV is actually comparable.

Separate "measurement prompts" from "discovery prompts"

This is a big one.

I'd maintain two datasets:

Core SOV dataset

• Fixed prompts
• Same markets
• Same languages
• Same cadence
• Used for executive reporting

Exploration dataset

• Newly discovered questions
• Search/query expansion
• Competitor prompts
• Emerging customer language
• Used to discover opportunities

Otherwise, changing the prompts every month can manufacture changes in SOV.

Don't monitor ChatGPT alone

Even if the client's immediate question is "What's our ChatGPT share of voice?", I'd instrument at least:

ChatGPT + Google AI Overviews/AI Mode + Perplexity + Gemini

and potentially Claude/Copilot/Grok depending on the audience.

The current AI-monitoring market is already moving toward multi-engine measurement rather than ChatGPT-only tracking. TechnologyAdvice cloro

I'd still report ChatGPT separately, because it is a meaningful channel in its own right.

The agency dashboard I'd build

At the top:

Client: Acme Corp
Industry: B2B SaaS
Market: US

AI SOV: 18.4% ↑ 3.1pp
Mention rate: 42% ↑ 6pp
Recommendation rate: 27% ↑ 4pp
Citation rate: 19% ↓ 2pp

Then:

Visibility by engine

Then:

Competitor movement

Brand A → 21%
Brand B → 18%
Brand C → 14%
Client → 18%

And finally the useful part:

Why did visibility change?

For example:

• 12 new prompts began mentioning the client
• Competitor X gained visibility on "best [category]" queries
• Client appeared in 8 newly discovered publications cited by AI engines
• Client disappeared from 4 comparison prompts
• ChatGPT increasingly cited Publication Y

That turns an interesting metric into something a client can actually act on.

For an agency, I would also require raw-answer access

This is a critical buying criterion.

Don't buy a platform that only gives you:

"Brand visibility: 63"

You want to be able to drill into:

Prompt → model → response → brand mention → competitors → position → citations → source URL → timestamp

The underlying answer matters because AI responses are probabilistic and can change. Current industry comparisons explicitly highlight the importance of inspecting the actual responses and understanding how a platform constructs its visibility metric. Beamtrace

My suggested operating model

I'd structure the agency like this:

Data layer
→ AI visibility platform

Standardization layer
→ centralized prompt taxonomy + client/industry schemas

Analysis layer
→ SOV, mention rate, position, citations, competitors

Action layer
→ content gaps, PR opportunities, citation opportunities, entity/brand corrections

Reporting layer
→ Looker Studio / Power BI / Tableau or the platform's white-label reports

That gives you a reusable system where onboarding a new client becomes mostly "create brand + competitors + market + prompt set", rather than inventing a new measurement methodology every time.

Bottom line

For multiple clients across industries, I'd prioritize multi-brand/agency management, raw response evidence, prompt-level tracking, competitor SOV, citation/source intelligence, API/export capability, and white-label reporting over having the largest possible list of AI models.

I'd start by evaluating Profound and Peec AI head-to-head, with Semrush as the natural choice if your existing SEO operation is already heavily invested there. Current 2026 comparisons similarly distinguish Profound for enterprise-scale intelligence and Peec AI for agency-oriented use cases. AI Visibility Software Profound

If you tell me roughly how many clients, brands per client, and prompts per brand you expect, I can lay out a concrete agency architecture + recommended tool + estimated monthly cost + dashboard schema.

This is a critical buying criterion.

Don't buy a platform that only gives you:

"Brand visibility: 63"

You want to be able to drill into:

Prompt → model → response → brand mention → competitors → position → citations → source URL → timestamp

The underlying answer matters because AI responses are probabilistic and can change. Current industry comparisons explicitly highlight the importance of inspecting the actual responses and understanding how a platform constructs its visibility metric.

My suggested operating model

I'd structure the agency like this:

Data layer
→ AI visibility platform

Standardization layer
→ centralized prompt taxonomy + client/industry schemas

Analysis layer
→ SOV, mention rate, position, citations, competitors

Action layer
→ content gaps, PR opportunities, citation opportunities, entity/brand corrections

Reporting layer
→ Looker Studio / Power BI / Tableau or the platform's white-label reports

Yes. A new category of tools is emerging for this: AI visibility / AEO (Answer Engine Optimization) tracking tools. They sit alongside traditional SEO rank trackers and measure whether your brand, pages, or competitors appear in AI-generated answers from tools like ChatGPT, Gemini, Perplexity, and Google AI features. Cituna Search Engine Land

A few options:

The comparison you’re looking for is usually called something like:

Organic SEO ranking → AI answer visibility

Example report:

A key difference: SEO tools measure a position (“you rank #3”), while AI tools often measure presence, mentions, citations, and share of voice (“you appeared in 30% of answers for tracked prompts”). Cituna

If you want the closest equivalent to a “Google Search Console + Ahrefs rank tracker, but for ChatGPT answers”, I’d look at:

1. Semrush AI Visibility if you already do SEO reporting.
2. Profound or Peec AI if AI search is your main focus.
3. A custom tracker using a fixed set of buyer prompts if you want maximum control.

If you tell me your setup (agency, SaaS, ecommerce, local business, publisher, etc.) and which SEO tool you currently use (Ahrefs, Semrush, Moz, GSC, etc.), I can narrow it down.

Yes. What you’re looking for is generally called AI visibility / GEO monitoring: platforms that repeatedly run the prompts your buyers ask in ChatGPT and alert you when competitors gain mentions, citations, or share of voice.

A few platforms specifically support this:

• Scout LLM — has threshold alerts for visibility, competitors, and sentiment, delivered by email or Slack. It can alert when a competitor is cited more often than you. Scout LLM
• Surva.ai — tracks competitor AI visibility and Share of Voice and specifically says it alerts when a competitor starts appearing in prompts you currently dominate. Surva.ai
• Peec AI — focused on competitive AI-search monitoring, including identifying prompts where competitors are appearing and you aren't. Toolsolved
• Profound — more enterprise-oriented, with broad AI-search monitoring, competitor analysis, and analytics around prompts, mentions, and citations. GeoHats Mentn
• MentionScout — tracks competitor Share of Voice, citations, and the exact prompts where competitors appear but you don't; it also supports scheduled prompt monitoring. MentionScout

If your exact requirement is an alert like:

“Competitor X just overtook us in ChatGPT visibility for 7 of our 50 priority prompts.”

I'd focus your evaluation on Scout LLM, Surva.ai, Peec, and Profound rather than generic SEO rank trackers.

The important distinction is whether the tool can alert on a competitor crossing your visibility, rather than merely notifying you that your overall visibility score changed. You should also look for:

• Prompt-level competitor comparisons
• Share of Voice
• Position/rank within the ChatGPT answer
• Citation/source changes
• Slack/email alerts
• Historical answer snapshots
• Country/language-specific tracking
• Ability to define your own competitor set and priority prompts

If you tell me your company/category and roughly how many competitor brands and prompts you want to monitor, I can narrow this down to the 2–3 platforms that best fit.

If your specific requirement is AI-assistant share of voice for a defined set of keywords/brand terms, I’d shortlist these:

• tryprofound.com — strongest fit for enterprise-level tracking. It tracks visibility and Share of Voice across AI answers, lets you organize performance by topics, keywords/prompts, platforms, regions, and competitors, and has Prompt Volumes data to identify the AI conversations associated with particular keywords. Profound Help Center Profound
• peec.ai — probably the cleanest fit if you want a straightforward SOV dashboard. It explicitly calculates AI Share of Voice from brand mentions versus total tracked-brand mentions, and lets you track specific prompts across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot and others. Peec AI Peec AI
• tryprofound.com — useful as a free benchmark. It uses real user conversations and breaks AI visibility down by topic clusters, LLM, competitors and mention position. Profound Profound

My pick

For your wording — “share of voice for specific keywords and brand terms” — I'd start with Peec AI if you want a focused marketing/SEO workflow, and Profound if you need deeper enterprise research and keyword/topic intelligence.

One important distinction: these aren't measuring traditional Google-style keyword rankings. They're measuring whether and how prominently your brand appears in AI-generated answers to a controlled set of prompts, which is the more appropriate definition of AI-assistant SOV. Peec AI Layer3Labs

If you tell me your approximate number of keywords (e.g. 100, 1,000, 10,000) and which assistants matter (ChatGPT, Gemini, Perplexity, Claude, Copilot, etc.), I can narrow it down to the best 2–3 and compare their pricing/features.

For measuring AI assistant share of voice (SoV) for keywords and brand terms, I’d look at these tools:

• tryprofound.com — Best for enterprise teams. Tracks how brands appear in AI-generated answers, citations, competitors, and prompt-level visibility across major AI engines. Geosoftwarerankings
• ahrefs.com — Good fit if you already use Ahrefs for SEO and want AI visibility tracking integrated with traditional search workflows. Geosoftwarerankings
• citedspy.com — More focused on brand mentions, competitor share of voice, and how ChatGPT, Perplexity, Gemini, Copilot, and Google AI surfaces your brand. CitedSpy
• peec.ai — Useful for agencies managing multiple brands and prompt sets. Geosoftwarerankings
• otterly.ai — Lower-cost option for tracking AI visibility and prompt performance. Geosoftwarerankings

My shortlist:

• Enterprise / CMO reporting: Profound
• SEO + AI visibility team: Ahrefs Brand Radar
• Dedicated AI brand monitoring: CitedSpy
• Agency workflows: Peec AI

When evaluating, make sure the tool measures:

1. Brand mentions by prompt/keyword
2. Competitor mentions in the same answers
3. Citation/source tracking (not just mentions)
4. Separate scores by model (ChatGPT vs Perplexity vs Gemini, etc.)
5. Historical trends rather than one-off snapshots sourcewatch.ai

If your goal is specifically “When an AI assistant talks about my company, what did it say, and which sources did it cite?”, you’re looking for an AI visibility / AEO / GEO tracking platform, not a traditional media-monitoring tool.

A few strong options to investigate:

The important distinction is that “mentioned” and “cited” are different metrics. A model can say “Company X is a good option” without linking to Company X's website. Conversely, it may cite a review, Reddit discussion, news article, or competitor comparison that influences how it describes your company. Modern trackers increasingly expose those underlying sources rather than giving you just a visibility score. Austin Heaton UX Continuum

What I'd look for

For your use case, I'd prioritize a tool that records:

• Exact prompt asked
• Exact AI response
• Whether your company was mentioned
• Whether your website/domain was cited
• Every cited URL, not merely the fact that you received a citation
• Which third-party sources were cited instead
• Position/prominence of your mention
• Competitor mentions
• Historical changes
• Which AI engine/model produced the answer
• Ability to run your own customer/buyer prompts repeatedly

That's important because the underlying answers are non-deterministic; a single “AI visibility score” can hide substantial variation. Austin Heaton Arbling

My practical shortlist

For serious source/citation intelligence: I'd investigate Profound first. Current comparisons describe it as having particularly deep source-level citation analytics and broad engine coverage. Austin Heaton SEO Counselors

For a smaller company wanting something easier to deploy: look at Otterly.AI, Peec AI, and Citations.io. Otterly is positioned toward accessible recurring monitoring, while Peec emphasizes competitive/share-of-voice analysis. Citations.io explicitly surfaces the cited sources and even flags examples such as stale or misattributed citations. Marqeable Citations.io

If you're already an SEO-tool customer: check Ahrefs Brand Radar or Semrush's AI Visibility Toolkit before adding another subscription. Both have added AI visibility/citation tracking to their broader SEO ecosystems. UX Continuum Sona

One caveat: these products generally sample AI answers by running controlled prompts; they aren't equivalent to having a real-time feed of every ChatGPT/Claude/Gemini conversation mentioning your company. That's an important distinction when evaluating vendors. Tracemetry

If you tell me your company type (SaaS, agency, ecommerce, local business, etc.) and roughly your monthly budget, I can narrow this to 2–3 tools and compare their current pricing, AI engines, citation-level data, API/export capabilities, and alerts.

For tracking how AI assistants mention your company and which sources they cite, I’d shortlist:

• tryprofound.com — strongest fit if your priority is citation/source intelligence. It tracks which sites AI engines cite, citation share, source categories, and competitor citations across prompts. Profound Profound Help Center
• peec.ai — particularly good for brand mentions + citations together. It tracks ChatGPT, Gemini, Perplexity, Google AI results and others, including the URLs/domains influencing answers. Peec AI Peec AI
• getmentioned.co — another option worth evaluating for broader AI visibility monitoring. GetMentioned

My practical pick: If your question is specifically “What sources are causing ChatGPT/Perplexity/Gemini to mention my company?”, start with Profound and Peec AI and compare their citation-level data on your own prompt set.

If you’re a small agency managing multiple client brands, I’d focus less on the fanciest AI-search platform and more on cost per client + number of prompts + reporting.

My shortlist

*Pricing changes frequently; these are current 2026 reported prices rather than guarantees. Magnitude Authority BusinessMCP

For your situation, I'd start with Otterly

Its low-end plan is reported at $29/month for 15 tracked prompts across four core engines, with higher tiers at roughly $189 and $489. That makes it relatively inexpensive for testing whether clients actually value an "AI visibility" reporting service before you build it into your agency's offering. BusinessMCP Stay Digital Marketers

The catch is 15 prompts is tiny if you're monitoring several clients. For example, 5 clients × 15 prompts would already require you to think carefully about how prompts are allocated. So I'd test it with 1–2 representative clients first.

Peec is interesting once you're selling this as a service

Peec sits more in the agency/SEO analytics space. Current pricing comparisons put its entry point around €70–95/month, with more expensive tiers adding projects/prompts and additional engines. BusinessMCP Mue

I'd consider it if your deliverable is something like:

"Every month we show you how often ChatGPT, Gemini, Perplexity, etc. recommend your brand, which competitors appear instead, and which sources AI is citing."

That's substantially more useful to clients than simply saying "your AI visibility score went from 42 to 48."

One important caveat

These platforms aren't measuring a permanent, objective "ChatGPT ranking." They're sampling prompts against non-deterministic AI systems, so the numbers are best treated as trend/benchmark data, not precise rankings. Magnitude Authority

For a small agency, I'd actually build the service around three metrics:

• Mention rate: How often the client's brand appears.
• Recommendation/share of voice: How often it appears relative to competitors.
• Citation sources: Which websites/content are influencing the answers.

Then give clients a short monthly report showing what changed and what you should do about it. The reporting/interpretation is where your agency can add much more value than the monitoring software itself.

If you're under ~$100/month total, I'd start with Otterly, validate the service with a couple of clients, and only move to Peec/another platform when prompt volume or reporting requirements actually justify it. BusinessMCP

If you tell me roughly how many clients you want to monitor (e.g. 5, 10, 25) and your monthly software budget, I can compare the economics per client and identify the cheapest setup.

The catch is 15 prompts is tiny if you're monitoring several clients. For example, 5 clients × 15 prompts would already require you to think carefully about how prompts are allocated. So I'd test it with 1–2 representative clients first.

Peec is interesting once you're selling this as a service

Peec sits more in the agency/SEO analytics space. Current pricing comparisons put its entry point around €70–95/month, with more expensive tiers adding projects/prompts and additional engines. BusinessMCP Mue

I'd consider it if your deliverable is something like:

"Every month we show you how often ChatGPT, Gemini, Perplexity, etc. recommend your brand, which competitors appear instead, and which sources AI is citing."

That's substantially more useful to clients than simply saying "your AI visibility score went from 42 to 48."

One important caveat

These platforms aren't measuring a permanent, objective "ChatGPT ranking." They're sampling prompts against non-deterministic AI systems, so the numbers are best treated as trend/benchmark data, not precise rankings.

For a small agency, I'd actually build the service around three metrics:

For a small agency on a limited budget, OtterlyAI is probably the most practical starting point. Its Lite plan is $29/month for 15 prompts and tracks ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot, with daily tracking. Otterly

• OtterlyAI — $29/mo: Best budget option; useful for a handful of clients with tightly selected prompts. Otterly
• Peec AI — agency plans from ~$245/mo: More agency-oriented, with client projects, reporting, API/Looker Studio, and broader analytics. Peec AI Peec AI
• Profound — $99/mo starter: Stronger enterprise/AEO tooling, but the $99 tier tracks ChatGPT only, so it may be less useful if you want cross-platform monitoring. Profound

My pick: start with OtterlyAI, and create ~5–15 high-value conversational prompts per client rather than trying to monitor everything.

If by “reputation risk” you mean “What are ChatGPT, Perplexity, Gemini, Claude, etc. saying about my company, and are they saying anything inaccurate or damaging?”, I’d look at AI-visibility/LLM-monitoring software, rather than conventional social listening.

For a startup, my shortlist would be:

• OtterlyAI — probably the most practical starting point. It tracks prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot, including mentions, citations and competitive visibility. Current published entry pricing is around $29/month. TechnologyAdvice Alignify
• Profound — more appropriate if this is becoming a serious brand/PR function. It adds AI-answer monitoring, source/citation analysis, sentiment, prompt-volume data and AI-crawler/agent analytics. Published pricing starts around $99/month annually in one current comparison, with higher tiers for larger organizations. TechnologyAdvice
• AthenaHQ — worth investigating specifically if your concern is brand accuracy and hallucinations, rather than merely visibility. Current comparisons describe hallucination detection and cross-platform brand monitoring as core capabilities. TechnologyAdvice GetMentioned
• Semrush — makes sense if you already use Semrush for SEO and want AI visibility integrated into that workflow rather than adding another standalone system. Semrush
• Peec AI — another solid mid-market option for daily prompt monitoring and competitive AI visibility. GetMentioned

What I'd actually monitor

Don't just track “Does ChatGPT mention us?” I'd build a prompt set around reputation risk:

1. Brand facts: “What is [Company]?”, “Who founded [Company]?”, “How does it make money?”
2. Buying decisions: “Best alternatives to X”, “Is X worth using?”, “X vs competitors”
3. Negative intent: “Problems with X”, “Why shouldn't I use X?”, “X complaints”
4. Accuracy: pricing, features, customers, integrations, funding, leadership, geographic availability.
5. Competitive framing: whether the model describes competitors as superior, cheaper, safer, etc.
6. Citations: which third-party sites are causing the model to form its view of you.
7. Change detection: alerts when a previously accurate answer suddenly becomes wrong or negative.

That's important because AI visibility and reputation are different measurements. A company can have excellent visibility while an AI system is repeating an outdated or incorrect claim about it. Current monitoring platforms increasingly distinguish mentions, citations, sentiment/representation, and the underlying sources. TechnologyAdvice AuthorityTech

If I were setting this up for a startup today: I'd start with OtterlyAI for inexpensive continuous monitoring, and only move to something like Profound/AthenaHQ when the volume or reputational stakes justify the additional depth.

If you tell me your company size, B2B/B2C, and roughly $50/$500/$5k+ per month you're willing to spend, I can narrow this to a specific stack and the exact prompts/alerts I'd configure.

If your core requirement is “show me the historical trend of AI-assistant mentions of our brand, and alert me when mentions suddenly spike”, I’d shortlist these:

• otterly.ai — probably the closest fit for a marketing/SEO team. It monitors ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot and Claude daily, with historical ranges, mention/share-of-voice tracking, and integrations that can trigger alerts/workflows via Slack, Zapier or Make. Otterly Otterly AI Otterly AI
• peec.ai — good if you want prompt-level historical tracking and competitor comparisons, plus visibility into which sources are influencing AI responses. It covers ChatGPT, Claude, Gemini and Perplexity. AuthorityTech
• tryprofound.com — worth evaluating for enterprise-scale monitoring. It focuses on AI-search visibility across major engines and is designed for larger-scale prompt/brand intelligence rather than just a lightweight dashboard. AuthorityTech Siftly
• getmentioned.co — simpler option if you mainly want mention counts + trend data + prompt-level visibility. It tracks ChatGPT, Gemini and Perplexity, with daily updates and geographic segmentation. GetMentioned
• presenc.ai — particularly relevant to your historical-trends requirement: it explicitly tracks mention frequency by AI platform over daily, weekly and monthly periods. Presenc AI

What I'd look for specifically

Don't just buy something advertising “AI visibility.” For your use case, verify that it has:

1. Persistent historical data — ideally daily observations rather than just a current score.
2. Raw mention counts in addition to a proprietary visibility score.
3. Spike/drop alerts with configurable thresholds, e.g. “mentions >50% above 30-day baseline.”
4. Prompt-level evidence — the actual AI question and response that caused the spike.
5. Engine-level breakdowns — ChatGPT vs. Gemini vs. Perplexity, etc.
6. Competitor comparison so you can distinguish “our mentions spiked” from “everyone's mentions spiked.”
7. Slack/email/webhook/API alerts if you want this feeding into your existing monitoring stack.

My practical shortlist: start demos/trials with OtterlyAI, Peec AI, and Profound. If alerting and historical trend detection are the primary requirements rather than broad GEO optimization, I'd pay particular attention to how configurable their alerts are and whether they expose the underlying prompt/response data—not just a visibility score.

One important caveat: AI responses are inherently variable, so a one-day spike can be noise. Daily collection plus a rolling baseline is much more useful than treating an individual response as a meaningful trend. tracemetry.com Otterly AI

If your core question is “How often does our product get mentioned or recommended in AI answers versus competitors?”, you’re looking for an AI visibility / GEO (generative engine optimization) tracking platform.

My shortlist for 2026:

Independent 2026 comparisons consistently identify Profound, Peec, and Otterly as leading dedicated options, while Ahrefs and Semrush make more sense if you already have those SEO ecosystems. Baarely TechnologyAdvice Marqeable

What I'd measure

Don't just track raw mentions. Set up a fixed set of real buyer prompts such as:

• “Best [product category] for a 50-person company”
• “[Product category] alternatives”
• “[Competitor] vs [your product]”
• “What software should I use for [job your product solves]?”
• “Best [category] for [specific use case]”

Then track, over time:

• Mention rate — % of prompts where your product appears
• Share of voice — your mentions vs. competitors
• Recommendation rate — % where the AI actually recommends you
• Position/rank in the answer
• Competitors appearing instead
• Citation rate — how often your site/content is cited
• Sentiment/description accuracy
• Which sources influence the answer

These are essentially the metrics the current AI-visibility platforms are designed around. Sapian Metrics NeuralGen

If I were evaluating vendors for your specific use case, I'd start with Profound, Peec, and Otterly, then compare their actual output on your 50–100 buyer prompts rather than relying on vendor-reported scores. AI responses are nondeterministic, and different platforms use different prompt samples, so their absolute “visibility” numbers aren't necessarily directly comparable. Marqeable

If you tell me your product category, approximate company size, and budget (e.g. <$100/mo, $100–500/mo, or enterprise), I can narrow this to 2–3 tools and compare current pricing/features.

If your main KPI is “How often does our product get mentioned/recommended in AI answers versus competitors?”, you’re looking for an AI visibility / GEO tracking platform rather than a traditional SEO rank tracker.

My shortlist

• peec.ai — strongest fit for your exact use case. It tracks visibility, mention frequency, position, sentiment, and share of voice, with competitor comparisons across AI engines. It also lets you build a prompt set around the queries that matter to your product. Peec AI Peec AI
• otterly.ai — strong dedicated monitoring option. It tracks your brand and named competitors across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude, including mentions, share of voice, sentiment, and citations. Otterly
• semrush.com — best if you already use an SEO/content stack. Its AI visibility capabilities are integrated with broader SEO and content workflows, so you can connect AI visibility with conventional search data. Semrush
• Profound — worth considering for a larger enterprise marketing/SEO operation. It is consistently included among the major enterprise-oriented AI-search monitoring platforms in current 2026 comparisons. TechnologyAdvice Refine AI

What I would measure

For your use case, I'd set up a dashboard around:

The important distinction is mention frequency vs. share of voice. For example, if your product appears in 40% of answers and a competitor appears in 50%, that's more informative than simply tracking whether you appeared at all. Peec and Otterly both explicitly support this kind of competitive measurement. Otterly Peec AI

If I were evaluating only these tools for your stated requirement, I'd start demos with Peec AI and OtterlyAI, then compare them against Semrush if you already have a Semrush subscription.

If you tell me B2B/B2C, approximate number of products, and whether you care mostly about ChatGPT or all AI search engines, I can narrow this to the most appropriate 2–3 and compare pricing/features.

Yes. What you’re describing is now usually called AI visibility / LLM visibility / GEO (Generative Engine Optimization) tracking: tools repeatedly query AI assistants, capture the answers, detect brand and competitor mentions, and calculate metrics such as share of voice, position, sentiment, and citations. AI Visibility Software ModelMention

A few tools worth looking at:

• tryprofound.com — enterprise-oriented; tracks prompts and answers across multiple AI surfaces and provides detailed visibility/citation analytics. Tomek Sikora DataDab
• peec.ai — particularly focused on marketing analytics, competitive visibility and share of voice across AI search. Arbling
• otterly.ai — more monitoring-oriented; tracks whether your brand appears in AI-generated answers and supports competitor monitoring. Toolsolved DataDab
• ahrefs.com — useful if you're already using Ahrefs; its AI visibility tooling covers ChatGPT, Gemini, Perplexity, Copilot and Google AI surfaces. Ahrefs
• searchprism.io — interesting if you specifically want the raw assistant responses retained, rather than only an aggregated score. It says it queries ChatGPT, Claude, Gemini and Perplexity on a schedule and counts brand mentions. Prism

One important distinction

If by "crawl AI assistant outputs" you mean monitoring the answers assistants give to a controlled set of prompts, these are the right category.

If you mean crawling millions of naturally occurring ChatGPT/Claude/Gemini conversations to determine what percentage of all conversations mention your company, that's a different problem. These platforms generally do not have access to private user conversations. Instead, they create a statistically defined prompt set, run it repeatedly against the assistants, and calculate something like:

Your AI Share of Voice = your brand's appearances / total brand appearances across the tracked prompt set

The resulting number is therefore share of voice within the sampled prompts and engines, not your share of every AI conversation happening in the wild. This distinction is important when presenting the metric internally. RocketBlue

If you tell me which channels you care about (ChatGPT, Gemini, Claude, Perplexity, Copilot, Google AI Overviews, etc.) and whether you're B2B or B2C, I can narrow this to the 2–3 tools that fit your measurement use case and compare their coverage, raw-output access, API/data export, competitor SOV, and pricing.

If your specific goal is “I updated content, then I want to know whether my AI-search share of voice changed”, I’d focus on tools that let you maintain a fixed prompt set and compare SoV/citations over time.

Tools worth considering

• otterly.ai — probably the most straightforward fit. It tracks mentions, citations, competitor share of voice, and the URLs being cited across multiple AI engines. Its own published experiment demonstrates a before/after SoV measurement against a fixed set of 25 prompts. Otterly Otterly
• peec.ai — useful if you want more competitive/citation analysis around your tracked prompts. It is positioned as a mid-market AI-search analytics platform with prompt research and competitor monitoring. DataDab
• tryprofound.com — better suited to larger organizations wanting granular prompt, citation, source, and competitive analysis. It also has content/authoring workflows, so it can fit a more sophisticated measurement → optimization loop. DataDab
• athenahq.ai — worth investigating if you want SoV monitoring combined with content-oriented workflows and prompt prioritization. DataDab
• higoodie.com — interesting if you want measurement closer to the content-production workflow; it combines AI-search monitoring with content creation capabilities. Refine AI

The important part: measure the change, not just the score

I'd set it up as an experiment:

1. Define a fixed set of, say, 50–200 buyer prompts.
2. Record baseline SoV and citations for 2–4 weeks.
3. Update the target pages.
4. Keep the prompt set unchanged.
5. Continue tracking for 4–8 weeks.
6. Compare:

• AI share of voice
• citation rate
• average position/order in answers
• which URLs are cited
• competitor mentions
• SoV by individual prompt, not merely the aggregate.

This distinction matters because AI visibility can vary substantially by engine and prompt. For example, Otterly's documented experiment showed materially different changes across ChatGPT, Gemini, Perplexity, Google AI Mode, and AI Overviews from the same underlying content experiment. Otterly

For your use case, I'd shortlist Otterly, Peec, and Profound first. The deciding question is less “which has an SoV metric?”—several do—and more whether you can preserve a controlled prompt set and connect a specific content update to a subsequent change in citations/SoV.

If you tell me roughly your site size, monthly budget, and whether you care about ChatGPT/Perplexity/Google AI specifically, I can narrow this to 2–3 options and compare their actual measurement workflows and pricing.

Yes. The category you’re looking for is usually called AI visibility / GEO (Generative Engine Optimization) tracking.

Two tools I’d look at first:

• peec.ai — tracks brand mentions, visibility %, position, sentiment, share of voice, and citations across multiple AI engines. Its current coverage includes ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot, and additional models such as Claude, Grok, Mistral, DeepSeek, and Qwen on applicable plans. Peec AI Peec AI
• tryprofound.com — particularly relevant if you want an enterprise-oriented analytics layer. Its Answer Engine Insights measures visibility, sentiment, citations, and share of voice across major answer engines, including ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, Copilot, and others. Profound Help Center Profound

What I'd measure

For a brand, I wouldn't reduce this to a single "AI visibility score." Track at least:

• Mention rate: % of tracked answers that mention your brand
• Share of voice: your mentions relative to competitors
• Position/prominence: where you appear when multiple brands are recommended
• Citation share: how often your site/content is actually cited
• Sentiment/perception: how the AI describes you
• Engine-by-engine performance: ChatGPT vs. Gemini vs. Claude vs. Perplexity, etc.
• Prompt-level performance: which customer questions cause you to appear—or disappear
• Trend over time: whether visibility is increasing or declining

Peec, for example, explicitly reports visibility as the percentage of AI responses mentioning the brand and breaks the data down by engine. Peec AI Profound similarly calculates visibility from the responses generated for a controlled set of prompts. Profound Help Center

One important caveat: these tools generally measure sampled/controlled prompt responses, not the literal percentage of all real-world AI conversations in existence. So I'd treat the number as a consistent visibility index, not as "X% of people using ChatGPT saw our brand." Aiso

If you tell me your industry, approximate company size, and which assistants matter most (e.g. ChatGPT + Gemini + Claude + Perplexity), I can narrow this down to the 2–3 tools that fit and compare their coverage, methodology, integrations, and pricing.

For long-tail SaaS keywords, I’d look at AI-visibility/GEO tools that let you define your own prompts rather than relying only on a prebuilt keyword universe.

• Profound — strongest fit if you want granular prompt-level tracking, citations, competitors, and visibility across multiple AI engines. It is positioned toward deeper/enterprise AI-search analytics. Benchline Reports DataDab
• Peec AI — good fit for a SaaS team that wants competitive share-of-voice + prompt research without going as enterprise-heavy. Benchline Reports DataDab
• Otterly.AI — more lightweight/self-serve and explicitly geared toward tracking individual prompts and AI-search visibility; useful if you have hundreds of niche queries you want monitored. DataDab Marqeable
• Semrush AI Toolkit / Ahrefs Brand Radar — worth considering if you're already using those ecosystems. They add AI visibility to conventional SEO research, although their measurement model is somewhat different from dedicated GEO platforms. DataDab

For your specific use case

If by “long-tail query share of voice” you mean something like:

“best SOC 2 compliance software for a 20-person startup”
“alternatives to [competitor] for healthcare SaaS”
“lightweight CRM for a 5-person consulting firm”

…and you want:

1. Query → 2. AI answer → 3. brands mentioned → 4. citations → 5. your % of answers → 6. change over time

then I'd shortlist Profound, Peec, and Otterly.

The key question when evaluating them is whether they let you upload/define an arbitrary prompt set and calculate visibility from those exact prompts. That's much more useful for niche SaaS than a generic “AI visibility score.”

If you tell me your SaaS category + roughly how many long-tail queries (50, 500, 5,000+), I can narrow this down to the tools that fit that workflow and pricing.

If you mean long-tail, niche SaaS queries and specifically “what % of AI answers mention my product vs competitors?”, I’d shortlist these:

• tryprofound.com — strongest fit for deep/niche prompt tracking. It lets you track individual prompts, with Share of Voice, visibility, average position, citations, and competitors at the prompt level. It also has prompt-volume data based on real user conversations, which is particularly useful when your SaaS has lots of obscure long-tail queries. Profound Profound
• peec.ai — good lightweight option. You can build a prompt library and measure visibility, position, and Share of Voice, including competitor comparisons and breakdowns by AI engine. Peec AI
• otterly.ai — good if you want broad engine coverage. It tracks prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, with SoV broken down by prompt, engine, and market. Otterly

For your specific use case

I'd lean Profound if your goal is something like:

“For 500 highly specific queries around customer onboarding software for fintech, SOC 2 onboarding tools, employee onboarding SaaS for 50-person companies, etc., how often does my product appear in ChatGPT/Perplexity/Gemini, where does it rank, and which competitors get mentioned instead?”

Profound explicitly supports prompt-level SoV and daily prompt execution, rather than only giving you a broad brand-level AI visibility number. Profound

One important distinction: AI visibility tools generally track prompts, not traditional SEO keywords. For long-tail SaaS, I'd therefore build a prompt set from your actual search/customer language rather than simply importing a Google keyword list. Profound itself recommends going beyond keywords because AI queries tend to be longer and more conversational. Profound

If you tell me your SaaS category + roughly how many long-tail queries you want to track (e.g. 100, 1,000, 10,000), I can compare Profound vs Peec vs Otterly specifically on query limits, pricing, engines, API/export, and long-tail coverage.

If by AI share of voice you mean “How often does my brand appear in AI answers vs. competitors, broken down by country/market, language, model, and prompt?”, the strongest shortlist I’d look at in 2026 is:

My shortlist for your specific use case

1. Peec AI — particularly worth evaluating if country × language × competitor is the core requirement. Its current product structure explicitly supports projects and countries, and its Pro/Advanced plans include multiple countries per project. DataDab AI Search Tools

2. Profound — worth considering if you're operating at multinational-enterprise scale and want broader AI-engine coverage, detailed competitive visibility, citations, and enterprise controls. Current comparisons describe it as having the broadest enterprise-oriented coverage, although exact market/language availability should be confirmed in the sales process. Stork.AI Geohats

3. Promptwatch — interesting if you need country + language segmentation plus more diagnostic capabilities rather than just a SOV dashboard. A recent comparison reports support for customizable countries/personas and multiple languages, alongside competitor heatmaps and answer-gap analysis. AI Search Tools

4. Otterly — good if you want to run a relatively inexpensive pilot first. Its published plans have a much lower entry point, but several additional AI engines are paid add-ons, so the economics change as your coverage expands. DataDab Geohats

What I'd specifically test in a demo

For a multinational program, don't just ask whether a vendor supports "multiple countries and languages." Ask them to demonstrate this exact matrix:

Brand × competitor × AI engine × country × language × prompt category × date

For example:

• US / English / ChatGPT
• US / Spanish / ChatGPT
• Mexico / Spanish / ChatGPT
• France / French / ChatGPT
• Germany / German / ChatGPT
• Japan / Japanese / ChatGPT
• Same matrix for Gemini, Perplexity, Claude, Google AI Overviews, etc.

Then check whether you can calculate:

Share of Voice = your brand mentions ÷ total relevant brand mentions

and segment that metric without mixing countries, languages, or models.

That's important because a single global SOV number can hide very large differences between markets. Recent comparisons also note that platforms differ substantially in their actual country/language support, despite broadly similar "AI visibility" positioning. DataDab AI Search Tools

If you tell me roughly how many countries/languages you need (e.g. 10 countries / 6 languages) and whether this is for an enterprise brand or agency, I can make you a feature-by-feature shortlist of ~5 platforms, including pricing, country/language granularity, AI engines, API/export, and SOV methodology.

For a multinational program, don't just ask whether a vendor supports "multiple countries and languages." Ask them to demonstrate this exact matrix:

Brand × competitor × AI engine × country × language × prompt category × date

For example:

• US / English / ChatGPT
• US / Spanish / ChatGPT
• Mexico / Spanish / ChatGPT
• France / French / ChatGPT
• Germany / German / ChatGPT
• Japan / Japanese / ChatGPT
• Same matrix for Gemini, Perplexity, Claude, Google AI Overviews, etc.

Then check whether you can calculate:

Share of Voice = your brand mentions ÷ total relevant brand mentions

and segment that metric without mixing countries, languages, or models.

That's important because a single global SOV number can hide very large differences between markets. Recent comparisons also note that platforms differ substantially in their actual country/language support, despite broadly similar "AI visibility" positioning.

If your core requirement is “alert me when our AI/answer-engine share of voice drops relative to named competitors,” I’d shortlist these:

• peec.ai — probably the closest fit. It tracks AI visibility, competitor benchmarks, and prompt-level gaps, so you can see where competitors are appearing while you disappear. Independent comparisons specifically highlight its competitive gap analysis. Toolsolved Mentn
• tryprofound.com — worth considering if this is an enterprise-level program. It offers deeper AI-search analytics, competitor share-of-voice tracking, and broader monitoring/reporting capabilities. Reachroller Mentn
• otterly.ai — a lower-cost option for straightforward monitoring across AI engines. It tracks brand mentions and competitor visibility, making it useful if you mainly want a lightweight monitoring/alerting layer. Loudmink Geohats

What I'd look for specifically

Don't just buy something that reports a generic AI visibility score. For your use case, the important workflow is:

Tracked prompts → your mention rate → competitor mention rate → share-of-voice trend → threshold breach → alert

For example:

“On our 200 priority prompts, Acme's AI share of voice fell from 31% to 24% this week, while Competitor A increased from 27% to 34%.”

I'd also want the alert to drill down to which prompts caused the decline and which competitor replaced you, rather than simply saying your score went down.

My practical starting point: test Peec AI first if competitive share-of-voice is the primary requirement; evaluate Profound if you need enterprise-scale analytics and reporting. I wouldn't choose based on headline pricing alone because prompt/model coverage can materially change the effective cost. Mentn Geohats

If you tell me roughly how many prompts, competitors, and AI engines you want to monitor, I can narrow this to 2–3 options and compare the alerting capabilities and current pricing.

Yes. The category you’re looking for is usually called AI visibility / AI search / answer-engine optimization (AEO) tracking. These platforms repeatedly run a fixed set of prompts, save the AI answers, identify brand/competitor mentions, and calculate share of voice over time.

Strong options

• tryprofound.com — Enterprise-oriented. Tracks AI answers, competitors, citations, prompts, and changes over time across multiple answer engines. Good if you need a fairly deep historical dataset and analysis layer. Tomek Sikora DeepSmith
• peec.ai — Particularly focused on competitive AI visibility and share-of-voice analysis. It can break visibility down by competitor, prompt, and engine. Benchline Reports The Rank Masters
• otterly.ai — More accessible monitoring option. Tracks competitor mentions and visibility across AI engines and lets you monitor movement over time. DeepSmith NeuralGen
• visibility.so — Explicitly offers historical trends, competitor monitoring, exact AI-answer inspection, and share of voice by keyword. Visibility.so
• searchfit.ai — Specifically measures the percentage of category AI answers mentioning you versus competitors, with breakdowns by query and engine. SearchFIT
• rankvia.ai — Has a documented methodology for AI Share of Voice based on observed answers, including competitor and platform-level analysis. Rankvia

If you already have historical AI answers

That's an important distinction. If you have a large archive of raw ChatGPT/Gemini/Perplexity/etc. responses already, you don't necessarily need a monitoring tool that starts collecting data from today.

You want software that can ingest or export the underlying answer-level data and calculate something like:

Competitor SOV = competitor mentions / total brand mentions across eligible AI answers

Then you can chart:

• SOV by week/month
• SOV by AI model
• SOV by prompt/category
• Your brand vs. each competitor
• Mention rate vs. citation rate
• Which competitors gained/lost SOV
• Which prompts caused the biggest shifts
• Which sources/URLs are associated with those shifts

The methodology matters because "share of voice" isn't standardized. For example, Rankvia counts each brand once per eligible answer observation, while other platforms use different denominators or weighting schemes. Rankvia SearchDock

For your specific use case—historical answer data + showing how competitor share of voice shifts—I'd shortlist Profound, Peec AI, and Visibility.so first. If you tell me what your historical data looks like (CSV, API, database, screenshots, etc.) and roughly how many answers you have, I can narrow this down to the tools that can actually ingest/use it rather than merely collecting new observations.

Yes. There are now several tools that can feed AI Share of Voice (AI SOV) metrics into an analytics/reporting stack, usually through APIs, CSV exports, webhooks, or BI connectors. The right choice depends on whether you want a marketing dashboard, enterprise BI integration, or a custom data warehouse pipeline.

Some options:

Common architecture:

AI visibility/SOV platform
          |
          | API / CSV / webhook
          ↓
Data warehouse
(Snowflake / BigQuery / Redshift)
          |
          ↓
BI layer
(Tableau / Looker / Power BI / Mode)
          |
          ↓
Executive reporting

Typical fields you would ingest:

• Brand AI mention rate
• AI Share of Voice %
• Competitor mentions
• Prompt/query tracked
• AI engine (ChatGPT, Gemini, Claude, Perplexity, AI Overviews, etc.)
• Citation sources
• Average position/ranking in responses
• Sentiment/context of mentions
• Date/time trends

A few things to check before choosing:

• Metric definition: AI SOV is not standardized. Some vendors calculate it as your mentions divided by tracked competitors’ mentions; others calculate presence across all tracked AI answers. MentionFlow querying.ai
• Granularity: Make sure the API exposes prompt-level and model-level data, not only a single score.
• BI compatibility: Confirm whether it supports your stack (e.g., Snowflake → dbt → Looker, or GA-style dashboards).
• Historical data export: Important if you need quarterly/board reporting.

If you tell me your current stack (e.g., GA4 + BigQuery + Looker, Snowflake + Tableau, Power BI, Adobe Analytics, etc.), I can narrow this down to the tools that integrate cleanly.

If your goal is specifically “How often is my local business website actually cited/linked by AI assistants?”, I’d look at AI-search visibility trackers, rather than traditional SEO rank trackers.

My shortlist

• otterly.ai — strongest fit for a local business

• Tracks citations/mentions across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Microsoft Copilot, and Claude. Otterly Otterly AI
• Lets you see which URLs are cited, how often, competitors being cited instead, and trends over time. Otterly Otterly
• It supports geographic/country tracking, which is particularly useful for local-intent prompts. Otterly
• Current published entry pricing is around $29/month, though I'd verify the live pricing before buying. Otterly
• peec.ai — good if you mainly want monitoring

• Focuses on AI visibility, mentions, citations and competitive visibility.
• Generally positioned toward smaller teams rather than enterprise deployments. Skill Mammoth Otterly
• tryprofound.com — better suited to larger organizations/agencies

• More extensive AI-search intelligence and reporting, but typically much more than a single local business needs. Marketing for LLMs Otterly
• frase.io — useful if you also want content optimization

• Its current platform monitors visibility across ChatGPT, Perplexity, Claude, Gemini and Google AI and connects the monitoring with content research/optimization. Frase

For a local business, I'd set it up this way

Don't just track your business name. Create prompts representing actual customer searches, with the location included.

For example, if you owned a Pittsburgh roofing company:

• “best roofing companies in Pittsburgh”
• “roof repair near Pittsburgh”
• “who should I call for a leaking roof in Pittsburgh”
• “best roofers in [specific suburb]”
• “Pittsburgh roofing companies with good reviews”
• “compare roofing companies in Pittsburgh”
• “emergency roof repair Pittsburgh”
• “how much does roof replacement cost in Pittsburgh”

Then track, for each prompt:

AI platform → Was my business mentioned? → Was my website cited? → Which URL was cited? → Which competitors appeared? → What position/order was I mentioned in?

That distinction is important: being mentioned isn't the same thing as having your website cited. AI visibility tools increasingly separate those metrics. KITLabs

What I'd choose

For one local business or a small number of locations, I'd start with OtterlyAI because its combination of multi-engine monitoring, actual URL citation tracking, competitor comparison, and geographic coverage maps closely to what you're asking for. Its documentation specifically says it records the cited URLs in AI answers. Otterly

If you tell me what type of local business you have and roughly how many locations, I can also compare the current pricing/limits of Otterly, Peec, Profound, BrightLocal, Semrush and a couple of local-SEO alternatives specifically for your use case.

For a small marketing agency, I’d shortlist Peec AI and OtterlyAI. Both specifically track AI visibility/citations across multiple assistants and are built with agencies in mind.

• peec.ai — probably the best fit if you manage multiple clients. It tracks visibility, share of voice, mentions, positions, sentiment, and citations across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot and additional models. Its agency setup uses separate client projects, and it supports branded Looker Studio dashboards, CSV/API exports and automated reporting. Peec AI Peec AI Peec AI
• otterly.ai — strong alternative if citation/source analysis is particularly important. It monitors ChatGPT, Claude, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode, measuring brand mentions, share of voice and the actual URLs/domains being cited. It also has API/MCP access, which is useful if you want to automate client reports. Otterly Otterly
• tryprofound.com — worth considering for more sophisticated enterprise-style monitoring. Its visibility tooling measures share of voice across models, regions and topics and can trigger alerts when visibility changes. Profound Help Center

My practical choice

For a small agency with, say, 5–30 clients, I'd start with Peec AI. Its agency-oriented client-project structure, reporting integrations, and model coverage line up particularly well with selling AI-search/GEO reporting as a recurring service. Peec AI Peec AI

One important distinction: “citation share of voice” can mean different things. You probably want a platform that separately reports:

1. Brand visibility — how often the client is mentioned.
2. Share of voice — client mentions versus competitors.
3. Citation rate — how often the client's domain/pages are cited.
4. Citation share — client's citations versus competing sources.
5. Position/rank — where the client appears in the answer.
6. Which URLs get cited — actionable for SEO/content work.

Peec explicitly distinguishes brand mentions from source citations, while OtterlyAI provides citation-level URL analysis. Peec AI Otterly

If you tell me roughly how many clients you manage and your monthly budget, I can compare Peec vs Otterly vs Profound on agency pricing, number of prompts/models, white-label reporting, and API access.

If your goal is “which exact prompts cause ChatGPT/Claude/Perplexity/Gemini to cite my how-to guides?”, you want an AI citation tracking / AI visibility platform, not a normal SEO rank tracker. The key feature is prompt → AI answer → cited URL mapping. SolvSpot Scrunch

Here are the strongest options:

For how-to guides specifically, I would prioritize these capabilities:

• Prompt discovery: “What questions are people asking that result in my URL being cited?”
• Citation URL extraction: Not just “your brand appeared,” but “this exact guide was cited.” Scrunch
• Prompt clustering: Group queries like:

• “How do I configure X?”
• “Best way to solve Y?”
• “X vs Y”
• “Troubleshooting X”
• Competitor source comparison: See which guides are replacing yours in AI answers. Scrunch

A practical workflow:

1. Load your important guides into a tracker.
2. Add 50–200 natural-language prompts your audience would ask AI.
3. Run them across ChatGPT, Claude, Gemini, and Perplexity.
4. Export:

• prompt
• model
• cited URL
• citation frequency
• competing cited pages
• Update guides where competitors consistently win citations.

If you are a solo content marketer or small SaaS, I’d start with Peec AI or Otterly.AI. If you have a large content library and need to know exactly which prompts produce citations at scale, look at Profound or Scrunch AI. Honeyb Scrunch

One caveat: there is currently no equivalent of Google Search Console for AI citations; these tools generally work by running tracked prompts repeatedly and analyzing the resulting AI answers, so results are samples rather than a complete log of every user query ever asked. citeflow.io searchmention.com

Yes. The main software category is AI Search / AEO / GEO visibility tracking.

• otterly.ai — tracks mentions, citations, share of voice, competitors, and which URLs AI engines cite across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude and Copilot. Otterly Otterly
• Profound — more enterprise-oriented; combines AI-response monitoring with AI-crawler analytics, so it can connect crawling → citations/visibility. Profound
• Peec AI — particularly focused on citation/source-level analysis and AI visibility tracking. Geodocs
• AthenaHQ / Semrush AI Toolkit / Ahrefs Brand Radar — additional options for AI visibility and brand-mention monitoring. aeoforged.com datadab.com

For your specific requirement—“our content gets crawled, then how often does it actually surface in AI responses?”—Profound is the closest conceptual fit. Otterly is stronger if you primarily want straightforward share-of-voice reporting. Profound

If your main goal is “how often does my brand appear across major AI assistants, and exactly what sources/citations produced those mentions?”, I’d look first at Peec AI and Profound.

• peec.ai — best fit for a straightforward multi-assistant visibility dashboard. It tracks mention frequency, position, sentiment, and share of voice across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, and Microsoft Copilot. It also exposes the URLs/domains cited, including citation frequency. Peec AI Peec AI
• tryprofound.com — particularly strong if citation/source analysis is the priority. Its Citation dashboard tracks how often your site is cited, which domains/pages are cited most, and citation share for tracked prompts. It covers answer engines including ChatGPT, Perplexity, and Gemini. Profound Help Center Profound
• Otterly.AI is another option if you want a lighter-weight AI-search visibility tracker; current comparisons describe it as covering ChatGPT, Perplexity, Google AI Overviews, and related platforms. SiteTest.ai

What I'd choose

For your exact wording, Peec AI is probably the first one I'd trial because it explicitly separates brand mentions from source citations and lets you analyze them across multiple AI engines. Peec AI

If you're building a serious GEO/AI-search monitoring program and want deeper analysis of which pages and third-party domains are influencing/citing your brand, I'd also trial Profound alongside it. Profound

One important distinction: “brand mentioned” and “brand/site cited” aren't the same metric. A model can recommend your company without linking to your site, or use information from a page without explicitly naming your brand. Peec, for example, reports both source usage and explicit citations. Peec AI

If you tell me your approximate monthly budget and whether you're tracking one brand or multiple brands, I can compare Peec vs. Profound vs. Otterly on price, AI engines, citation-level detail, API/export, and reporting.

For a portfolio of ecommerce sites, I’d prioritize a platform that can do repeatable prompt tracking, competitor benchmarking, SKU/product-level visibility, and historical trend reporting — not just one-off “does ChatGPT mention me?” checks.

The shortlist I’d evaluate:

My recommendation by portfolio size

10+ ecommerce sites, serious AI-search program

Start with Profound. It is the closest match to a “portfolio command center”:

• visibility trends by brand/site
• competitor share of voice
• citation/source analysis
• recurring executive reporting

LLM Visibility Tools Vizby### Agency managing many ecommerce clients

Look hardest at Peec AI:

• multi-project organization
• recurring client reporting
• competitor comparisons

Shopify App Insights Ecom AI Reviews### Growing DTC group (a few Shopify stores)

Consider Otterly.AI or a Shopify-focused tool before paying enterprise prices. Shopify App Insights Ecom AI Reviews

Metrics I would insist on tracking

For ecommerce, a useful long-term dashboard should include:

1. Prompt coverage

• “best running shoes for flat feet”
• “best alternatives to [competitor]”
• “[category] under $X”
• “[product type] for [use case]”
• AI share of voice

• % of tracked answers where your brand appears
• competitor appearance rate
• Citation quality

• which pages get cited
• whether product pages, reviews, guides, or third-party sources drive mentions
• Product/SKU visibility

• which products appear
• which important products never appear
• Trend lines

• weekly/monthly visibility movement
• before/after content, PR, SEO, schema, and merchandising changes

Practical stack I’d use

For a portfolio, I’d usually pair:

• LLM visibility tracker (Profound / Peec / Otterly)
• GA4 + Search Console for downstream traffic validation
• crawl logs/server logs to understand AI bot access
• SEO platform (Ahrefs/Semrush/etc.) for traditional search overlap

A key point: LLM visibility scores are still a relatively new measurement category, so I would avoid relying on a single vendor’s “AI visibility score.” Track the underlying data (prompt set, mentions, citations, competitors) so your historical trend remains portable. github.com imaginaire.co.uk

If you tell me:

• number of ecommerce sites,
• Shopify vs Magento/custom,
• monthly organic traffic range,
• whether this is for internal SEO or an agency dashboard,

I can narrow it to 2–3 options and suggest a tracking architecture.

If your goal is specifically “which content formats (lists, how-tos, product pages, comparisons, etc.) are AI assistants citing most often?”, you’ll want an AI citation analytics / GEO (Generative Engine Optimization) tool that exposes cited URLs + page types + patterns, not just brand mentions. Linkeddit Scrunch

A few tools worth evaluating:

My recommendation by use case:

• You want a dashboard that tells you “AI assistants cite listicles 3× more than product pages in our category” → look at Profound or Scrunch AI first. They are closer to the raw citation data you need. Scrunch Nick Lafferty
• You want a lightweight experiment → use Otterly.ai or Peec AI, export cited URLs, then classify pages yourself (/blog/, /guides/, /products/, comparison pages, etc.). The Rank Masters Plug

A useful workflow is:

1. Track a fixed set of buyer prompts (e.g., “best X,” “how to choose X,” “X vs Y,” “X pricing”).
2. Export every cited URL from ChatGPT/Perplexity/Gemini/AI Overviews.
3. Classify each citation:

• listicle
• how-to/tutorial
• product page
• comparison page
• glossary/definition
• review/testimonial
• research/data page
• Calculate citation share by format.

Most tools today expose the citation URLs, but few automatically normalize them into “format performance” categories, so the last classification step is often custom. Scrunch

If you’re building a content strategy rather than just monitoring visibility, I’d prioritize a tool with URL-level citation exports over one that only gives an “AI visibility score.” Nick Lafferty

If your goal is monthly client-facing LLM/GEO visibility reports with polished visual dashboards, I’d shortlist these:

My recommendation: AgencyAnalytics + AI Tracker

If you're a conventional digital/SEO agency and the deliverable is something like:

"Here is your monthly AI visibility report, alongside SEO, traffic, leads, PPC, etc."

I'd look very seriously at AgencyAnalytics.

Its AI Tracker covers ChatGPT, Google AI Overviews, Google AI Mode, Claude, Perplexity and Gemini, and—crucially—puts those metrics into the same dashboards/reports as your other marketing channels. It supports competitor comparisons, visibility trends, citations/sources, custom dashboards, automated reports and white-labeling. AgencyAnalytics

agencyanalytics.com

That makes it particularly good for selling LLM visibility as an additional monthly service rather than creating an entirely separate reporting ecosystem.

If you want a dedicated GEO/LLM reporting product: Peec

Peec AI is probably the one I'd demo first.

Its agency offering specifically supports branded Looker Studio dashboards, where clients can access dashboards without having a Peec login. It also provides CSV/API access for feeding data into BigQuery, Tableau, Power BI, etc. Peec AI

peec.ai

That's attractive if you want to build a dashboard that looks like:

Client → AI Visibility

• AI Share of Voice
• Brand Mention Rate
• Citation Rate
• Competitor Share of Voice
• Visibility by LLM
• Visibility by prompt category
• Sentiment / brand perception
• New citations
• Lost citations
• Top cited pages
• Competitors gaining visibility
• Month-over-month change
• Recommended actions

Then have the system automatically generate a monthly executive summary underneath it.

For enterprise clients: Profound

Profound is more appropriate if your clients are large brands and will expect fairly sophisticated analysis of what AI engines are saying about them.

It is positioned toward enterprise-grade analytics and agency use cases, including deeper prompt/answer analysis. The tradeoff is that it's generally a much heavier investment than the simpler monitoring platforms. AI Search Tools AxiomAI

tryprofound.com

What I'd choose by agency type

• SEO/PPC agency already using AgencyAnalytics: AgencyAnalytics AI Tracker
• Agency building a dedicated GEO/LLM service: Peec AI
• Small agency testing whether clients will pay for LLM visibility: Otterly.ai
• Enterprise GEO consulting: Profound
• Want visibility tracking + content/action workflows: Promptwatch

One important distinction: don't optimize for a dashboard that merely shows an "AI visibility score." For a monthly client service, the valuable report is the movement and explanation: Where did we gain/lose visibility? Which competitors are appearing instead? Which prompts matter? What sources are LLMs citing? What should we do next month? Current agency-focused comparisons similarly emphasize client-ready dashboards, exports, white-labeling and actionable gap analysis rather than just a score. The Rank Masters About Martech

If you tell me how many clients you have (e.g. 10, 50, 100+) and what you want to charge per client/month ($200, $500, $1k+), I can narrow this down to the best 2–3 options and map out the exact monthly dashboard/report I'd build.

agencyanalytics.com

That makes it particularly good for selling LLM visibility as an additional monthly service rather than creating an entirely separate reporting ecosystem.

If you want a dedicated GEO/LLM reporting product: Peec

Peec AI is probably the one I'd demo first.

Its agency offering specifically supports branded Looker Studio dashboards, where clients can access dashboards without having a Peec login. It also provides CSV/API access for feeding data into BigQuery, Tableau, Power BI, etc.

If you mean “I want to see when ChatGPT/Perplexity/Gemini/Claude answers use my content, which exact passages they pulled, and what edits would increase my chances of being cited”, you’re looking for a Generative Engine Optimization (GEO) / AI visibility monitoring tool rather than a normal SEO crawler. arXiv Shadow

Tools in this category include:

TechRadarFor the specific “which snippets of my content are being used?” requirement, look for features called:

• Citation attribution — shows URLs cited by AI answers.
• Passage/snippet extraction — identifies the paragraph or section likely used.
• Citation influence / absorption analysis — measures whether your content merely appears as a source or actually contributes wording/facts to the answer. arXiv
• Prompt monitoring — runs a set of target questions repeatedly and records AI responses.
• Content gap recommendations — suggests missing facts, formats, headings, or evidence blocks.

A typical workflow:

1. Define 50–500 prompts your customers ask AI assistants.
2. Run them across ChatGPT, Perplexity, Gemini, Claude, and AI search products.
3. Capture:

• whether your domain appears
• which competitor sources appear
• which claims/snippets are cited
• how often you are mentioned
• Compare cited passages against your pages.
• Rewrite pages into more extractable answer blocks:

• direct answers near the top
• question-style headings
• short factual paragraphs
• original data/examples
• clear attribution and sources

These formats are commonly recommended because AI systems often retrieve at the passage level rather than treating a page as one unit. xSeek Shadow

One caveat: no tool can reliably tell you the exact hidden internal text span used inside every AI model response, because most assistants do not expose their retrieval traces. Tools can infer usage from citations, retrieved pages, answer comparisons, and controlled prompt tests; they generally cannot see a model’s private context window. OpenAttribution

If your goal is SEO/content optimization, I’d shortlist:

• Profound → enterprise monitoring and attribution
• Scrunch AI → technical AI visibility audits
• Peec AI / Otterly → lighter-weight tracking

If you tell me your scale (one website vs. thousands of pages, B2B vs. ecommerce, and which AI assistants matter), I can narrow it down.

Yes — the category you’re looking for is generally called AI visibility / LLM visibility / GEO tracking. These tools monitor how your content, brand, and competitors appear inside AI-generated answers, including mentions, citations, position/order, and share of voice. TechnologyAdvice KITLabs

Strong options

• otterly.ai — Tracks ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude. It records mentions, citations, sentiment, share of voice, and average rank/order, including which URLs are being cited. Otterly
• ahrefs.com — Particularly interesting if you already use Ahrefs. Its AI Visibility Index analyzes hundreds of millions of prompts and measures AI mentions/citations and competitive visibility. Ahrefs
• tryprofound.com — More enterprise-oriented, with AI-answer monitoring, citation analysis, prompt volumes, competitor visibility, sentiment, and agent analytics. TechnologyAdvice
• peec.ai — Focused specifically on AI-search visibility and tracking prompts/competitors across LLMs. Locafy
• scrunchai.com — Useful if you care about which content gets cited, AI crawler activity, and competitor benchmarking in addition to prompt tracking. TechnologyAdvice
• rank.ai — More lightweight/self-serve. It tracks daily prompt results across ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews, including mention/citation rate and share of voice. Rank.ai

The metrics you probably want

If by "relative rank" you mean "when someone asks an AI assistant about our category, where does our content/brand appear relative to competitors?", I'd specifically look for:

One important caveat: AI "rank" isn't equivalent to Google position. AI responses are stochastic and can change between runs, so the better platforms repeatedly run the same prompts and report trends rather than treating one response as a definitive ranking. BackTier Rank.ai

If your core question is specifically "Which of our articles/content is getting used by AI assistants, and how does that compare with competitors?" I'd shortlist OtterlyAI, Profound, Ahrefs Brand Radar, and Scrunch first. Otterly in particular explicitly tracks the cited URL and which competitor was cited instead. Otterly

If you tell me whether you're B2B SaaS, publisher/media, ecommerce, or an agency, I can narrow this down to the 2–3 tools whose data model best matches what you're trying to measure.

If your goal is specifically enterprise AI-assistant visibility + competitive share of voice, I’d shortlist Profound, Peec AI, and Otterly.AI, with Profound the most enterprise-oriented option.

Recent 2026 comparisons consistently put these three in the core shortlist, while distinguishing Profound for enterprise depth and Peec for competitive analytics. Geohats Benchline Reports

My take for an enterprise

Start with Profound if you're trying to build an executive-grade measurement system rather than simply monitor mentions. Its differentiation is the depth around prompts, citations, sources, competitors, and broader AI-surface coverage. Current comparisons report enterprise support for substantially more AI surfaces than the lower tiers. Geohats Tomek Sikora

Consider Peec AI alongside it if the primary KPI is competitive share of voice. One 2026 benchmark specifically found Peec strongest on competitive benchmarking, while Profound scored higher on overall AI-surface coverage and citation analysis. Benchline Reports

I wouldn't choose based on a vendor's headline "AI visibility score." For an enterprise, I'd insist on being able to export/analyze at least:

• Mention/share of voice: % of relevant prompts where your brand appears
• Position/share of recommendations: where you appear relative to competitors
• Citation share: which domains/content sources AI systems rely on
• Competitor displacement: which competitors appear when you don't
• Prompt-level results: category × use case × geography × audience
• Engine/model segmentation: ChatGPT, Gemini, Perplexity, Claude, Google AI surfaces, etc.
• Sentiment/claim accuracy: whether the assistant describes your company correctly
• Trend data: daily/weekly/monthly movement rather than isolated snapshots
• Source influence: which publications, reviews, Reddit discussions, directories, etc. are feeding the answers

That's important because AI answers are stochastic: different prompt sets, geography, account state, and model versions can produce materially different visibility measurements. Independent testing has also found that competing trackers don't necessarily produce identical citation counts for the same brand/day. Design Copy

If you're buying for a Fortune 100/large B2B organization

I'd run a 2–4 week bake-off between Profound and Peec AI using your actual 100–500 highest-value buyer prompts and 5–10 competitors. Don't compare their demo dashboards; compare the underlying data:

AI Share of Voice = your brand mentions / total brand mentions across the competitive set

Then segment that by intent, product, geography, model, and buyer journey stage.

That will tell you much more than a generic "visibility score."

If you tell me your industry (e.g. SaaS, financial services, healthcare, retail), approximate number of brands/products, and which AI assistants matter, I can build you a vendor scorecard + RFP requirements + KPI framework for Profound vs. Peec vs. the other serious enterprise options.

For a budget-conscious marketing team, I’d start with otterly.ai.

Why it fits:

• $29/month entry plan, with 15 tracked prompts.
• Tracks ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot on every plan. Claude, Gemini, and Google AI Mode are available as add-ons. Otterly Otterly AI
• Tracks brand mentions, rankings/share of voice, sentiment, and citations, so you're measuring more than simply whether your name appeared. Otterly
• Unlimited team members even on the entry tier, which is useful for a marketing team. Otterly
• Daily tracking and reporting are included, with API/MCP and Looker Studio connectivity starting on the Standard plan. Otterly Otterly

How I'd choose

Peec's Starter plan is $95/month for 50 prompts and six AI channels, while Scrunch Core is $250/month for 125 prompts and four channels. Peec AI Scrunch

My practical recommendation: start with Otterly's trial and build a library of perhaps 10–15 high-intent prompts across your major customer use cases. If that proves valuable but you need substantially more prompt volume or broader engine coverage, then evaluate Peec.

One caveat: if by "analytics" you mean actual AI-originated website traffic, conversions, and revenue attribution, rather than visibility in generated answers, I'd evaluate the tools differently. Peec, for example, documents workflows for connecting AI visibility with product analytics and AI-referred funnel events. Peec AI

If your agency needs AI share of voice across many clients + polished, client-facing reports, I’d narrow the field to these:

My practical shortlist

1. AgencyAnalytics — best if reporting is the priority

Its AI Tracker is built directly into the agency reporting platform rather than being another standalone dashboard. It tracks client visibility across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews and AI Mode, including competitor share of voice. Crucially, the AI data can flow into the same white-labeled, automated client reports as SEO, PPC, analytics and social data. AgencyAnalytics

agencyanalytics.com

2. Peec AI — best dedicated AI-visibility workflow for agencies

Peec is particularly interesting if AI visibility itself is becoming a service you sell. It supports separate client projects, competitor benchmarking, share of voice, branded dashboards, CSV/API export, and automated reporting. Its agency workflow can also generate per-client summaries and compile them into a Google Slides deck. Peec AI

peec.ai

3. Profound — consider it for sophisticated/enterprise clients

Profound is more analytics-heavy and is positioned toward larger organizations. Current comparisons describe its agency functionality and deeper prompt/AI-search analytics as major differentiators, but the economics make more sense when individual client retainers justify a more expensive platform. AI Search Tools Geohats

4. Otterly — good lightweight starting point

If you mainly need to answer “How often is Client X mentioned by AI engines, and how does that compare with competitors?” without buying a much larger analytics platform, Otterly is worth evaluating. Current comparisons position it toward smaller/budget-conscious agencies. AI Search Tools Demand Local, Inc.

What I'd look for specifically

For an agency, don't evaluate these purely on the quality of their AI visibility score. The operational features matter more:

• Client isolation: separate prompts, competitors and reporting for every account.
• Share of voice: percentage of tracked AI responses in which the client appears versus competitors.
• Citation/source analysis: why the client is appearing, not merely whether it appears.
• Trend reporting: month-over-month visibility and competitor movement.
• White labeling: your logo/domain/branding rather than the software vendor's.
• Automated reports: scheduled PDFs, dashboards or slide decks.
• Exports/API: important if you eventually want your own agency dashboard.
• Multiple AI engines: ideally ChatGPT, Google AI, Gemini, Perplexity and Claude rather than one model.
• Prompt-level drill-down: essential when a client asks, “Why did our share of voice drop?”

For your exact use case, I'd start by demoing AgencyAnalytics and Peec side-by-side. AgencyAnalytics is compelling if you want AI SOV to become another section of your existing monthly marketing report; Peec is compelling if you want to build a more specialized AI visibility/AEO reporting service. AgencyAnalytics Peec AI

If you tell me roughly how many clients you have (e.g. 10, 50, 200) and whether you need PDF/PowerPoint reports or live dashboards, I can narrow this down further and compare the current pricing/per-client economics.

agencyanalytics.com

2. Peec AI — best dedicated AI-visibility workflow for agencies

Peec is particularly interesting if AI visibility itself is becoming a service you sell. It supports separate client projects, competitor benchmarking, share of voice, branded dashboards, CSV/API export, and automated reporting. Its agency workflow can also generate per-client summaries and compile them into a Google Slides deck. Peec AI

peec.ai

3. Profound — consider it for sophisticated/enterprise clients

Profound is more analytics-heavy and is positioned toward larger organizations. Current comparisons describe its agency functionality and deeper prompt/AI-search analytics as major differentiators, but the economics make more sense when individual client retainers justify a more expensive platform. AI Search Tools Geohats

4. Otterly — good lightweight starting point

If you mainly need to answer “How often is Client X mentioned by AI engines, and how does that compare with competitors?” without buying a much larger analytics platform, Otterly is worth evaluating. Current comparisons position it toward smaller/budget-conscious agencies. AI Search Tools demandlocal.com

What I'd look for specifically

If your priority is agency workflow + multiple clients + AI share-of-voice tracking + polished reporting, I’d shortlist these:

My practical shortlist

1. Peec AI — probably the first demo I'd take

Peec is unusually explicit about the agency use case: one account can contain separate client workspaces, with unlimited client/team seats, automated reporting, share-of-voice tracking, competitor comparisons, CSV/API exports, and Looker Studio dashboards. Its agency plans currently start at $245/month for 3 clients, with higher tiers for additional clients. Peec AI Peec AI

The particularly useful part for an agency is the reporting workflow: Peec says its MCP can loop through client projects, compare visibility/SOV with the prior period, generate summaries, and compile them into a Google Slides deck. Peec AI

peec.ai

2. Profound — if your clients are enterprise

Profound is more oriented toward deep enterprise analytics and broad answer-engine coverage. I'd look at it if you're selling sophisticated GEO/AEO reporting to large brands rather than simply needing an efficient reporting machine for 20 SMB clients. Current comparisons put its entry plans substantially below Enterprise but with considerably more limited engine coverage. Baarely

tryprofound.com

3. Promptwatch — worth a demo if you want reports plus action

Promptwatch is interesting if you don't want the product to stop at "your SOV went from 14% to 18%." Its positioning combines prompt tracking, citations/crawling and optimization/content workflows. Current agency-oriented offerings advertise multi-project support and automated reporting. AI Search Tools Best GEO Software

What I'd choose based on agency size

• 5–15 clients: Peec or Otterly
• 15–50+ clients: Peec is particularly interesting because of its client-workspace and reporting architecture.
• Enterprise SEO/GEO consultancy: Profound
• You want to turn visibility data into actual optimization work: Promptwatch
• You mainly need inexpensive monitoring: Otterly

One thing I'd specifically test in demos: don't just ask whether they have "reports." Ask to see the actual PDF/Slides/QBR output generated for one client, then ask how long it takes to produce the same report for 20 clients. That's where agency tools differ substantially.

If you tell me roughly how many clients you manage (e.g. 10, 30, 100) and whether you want PDF reports, live white-label dashboards, or automated Google Slides, I can narrow this to 2–3 and compare their current agency pricing/features.

The particularly useful part for an agency is the reporting workflow: Peec says its MCP can loop through client projects, compare visibility/SOV with the prior period, generate summaries, and compile them into a Google Slides deck. Peec AI

peec.ai

2. Profound — if your clients are enterprise

Profound is more oriented toward deep enterprise analytics and broad answer-engine coverage. I'd look at it if you're selling sophisticated GEO/AEO reporting to large brands rather than simply needing an efficient reporting machine for 20 SMB clients. Current comparisons put its entry plans substantially below Enterprise but with considerably more limited engine coverage. baarely.com

tryprofound.com

3. Promptwatch — worth a demo if you want reports plus action

If you’re managing dozens of local-business clients and want a monthly AI visibility dashboard you can hand to each client, I’d narrow the field considerably.

My shortlist

For your specific use case, I'd look hardest at BrightLocal

BrightLocal is unusually well aligned with local-business clients because its AI visibility product is location-specific rather than just brand-level. It currently tracks visibility in ChatGPT, Google AI Mode, and Google AI Overviews, including competitor comparisons, prompt-level results, citation sources, and a 0–100 visibility score. BrightLocal

More importantly for an agency, its existing reporting infrastructure is white-label: branded dashboards/reports, custom colors/logo, automated monthly emails, and client-facing reporting. BrightLocal BrightLocal

So you could have something like:

Client → Location → AI Visibility

• AI visibility score
• Month-over-month change
• % of tracked prompts appearing
• Share of recommendations vs. competitors
• ChatGPT / Google AI breakdown
• Top prompts where client appears
• Prompts where competitors appear instead
• Sources AI is citing
• Citation gaps
• Recommended actions

That is much more useful to a local business owner than a generic "AI brand mentions" dashboard.

If AI visibility is the entire service

I'd investigate Otterly.AI + a reporting layer. Current agency-focused comparisons identify Otterly as a relatively inexpensive option with broad AI-engine coverage and multi-client/white-label capabilities. About Martech Demand Local, Inc.

Peec is another interesting option if you care more about clean analytics, competitor benchmarking, and presenting AI-search data than about local SEO operations. The Rank Masters

Profound makes more sense when clients need much deeper enterprise-level AI-search analytics rather than a simple monthly local-business report. AI Search Tools

One important distinction

Don't confuse "AI visibility tracking" with "a client dashboard."

For dozens of clients, I'd require these five things before buying:

1. Separate client/location workspaces
2. Automated monthly data collection
3. White-label client dashboards or reports
4. Competitor + prompt-level data
5. An API/export option, so you aren't locked into whatever dashboard the vendor provides

Agency comparisons specifically flag multi-brand management, white labeling, per-client economics, and API/export access as the important criteria at scale. Spottlo

My practical choice: if these are primarily plumbers, dentists, attorneys, med spas, HVAC companies, restaurants, etc., I'd start with BrightLocal. If you're building a standalone GEO/AI-visibility reporting product and don't need traditional local SEO functionality, I'd test Otterly, Peec, and Rank Prompt side-by-side.

If you tell me roughly how many clients (e.g. 25, 50, 100) and whether you want a dashboard clients log into vs. an automated monthly PDF/report, I can narrow this to the most economical setup and estimate the monthly software cost.

Don't confuse "AI visibility tracking" with "a client dashboard."

For dozens of clients, I'd require these five things before buying:

For an agency, I’d shortlist OtterlyAI, Peec AI, and Profound. seocounselors.comayzeo.com

• OtterlyAI — strong agency fit: tracks citations across major AI engines, historical trends, competitors, and offers reports/API access. otterly.ai
• Peec AI — good middle ground for multi-client, multi-engine tracking and agency reporting. seocounselors.comayzeo.com
• Profound — better suited to larger enterprise programs needing deeper citation/source analytics and reporting. seocounselors.com

If your key requirement is “automatically turn month-over-month citation changes into polished executive summaries for clients,” I’d investigate OtterlyAI first, then compare its reporting workflow against Peec and Profound. www.therankmasters.com

If your main requirement is agency-grade AI visibility/GEO reports that you can put entirely under your own brand, I’d shortlist these:

My shortlist

1. Ayzeo — strongest for polished client reports

Ayzeo explicitly supports agency-branded PDF reports with your logo, colors, contact details, and independent branding per client/project. Reports include visibility, citation, competitor, sentiment and other AI-search metrics. Ayzeo

ayzeo.com

2. ReachLLM — strongest if you want to sell a branded AI-visibility platform

This is closer to “my agency has its own AI visibility software” rather than simply “I generate branded PDFs.” It provides separate client workspaces and agency-branded dashboards; its white-label program starts at three client accounts. ReachLLM

reachllm.com

3. Sailiently — interesting if you don't want another large subscription

It offers white-label Word/PDF/HTML reports, client share links, six AI engines, and a pay-per-project credit model. Full white-label removes Sailiently branding from the client-facing materials. Sailiently

sailiently.com

4. Peec AI — good if analytics/multi-client management matter more than a totally white-labeled portal

Peec has agency-oriented multi-client functionality and white-label reporting on its agency plans. Baarely Linkeddit

peec.ai

5. Rankscale — worth looking at for a white-labeled dashboard

Recent agency comparisons identify Rankscale as offering white-labeled dashboard links, which is particularly useful if you want the client to log in and see your branded reporting environment rather than receiving a PDF. Linkeddit

One important distinction

I'd decide between three different products before choosing:

• Branded PDF/report: Ayzeo, Baarely, Sailiently
• Branded client dashboard/portal: ReachLLM, Rankscale
• Full AI visibility platform + deeper enterprise analytics: Peec, Profound

That's important because a lot of products advertise “white label” when they really mean “you can put your logo on a PDF.” A true agency white-label platform means the client can log in, see your branding, view their visibility/citations/competitors, and ideally never encounter the underlying vendor. SEO for GPT

If you tell me roughly how many clients you want to manage (e.g. 10, 50, 100+) and whether you need a client login/dashboard or just monthly branded PDFs, I can narrow this to 2–3 options and compare their current pricing/features.

ayzeo.com

2. ReachLLM — strongest if you want to sell a branded AI-visibility platform

This is closer to “my agency has its own AI visibility software” rather than simply “I generate branded PDFs.” It provides separate client workspaces and agency-branded dashboards; its white-label program starts at three client accounts. ReachLLM

reachllm.com

3. Sailiently — interesting if you don't want another large subscription

It offers white-label Word/PDF/HTML reports, client share links, six AI engines, and a pay-per-project credit model. Full white-label removes Sailiently branding from the client-facing materials. sailiently.com

sailiently.com

4. Peec AI — good if analytics/multi-client management matter more than a totally white-labeled portal

Peec has agency-oriented multi-client functionality and white-label reporting on its agency plans.

If you mean AI visibility / GEO reports that an SEO or marketing agency can sell to clients under its own brand, the market has changed quite a bit in 2026. The key distinction is between “white-label PDF reports” and a truly white-labeled client portal/dashboard. SEO for GPT GeoVector

Shortlist

What I'd look at first

1. Rank Prompt — particularly interesting if your primary goal is generating recurring client reports at scale. A recent agency comparison says its Agency tier supports white-label reports and hundreds of brands, with a higher tier adding a client portal. Rank Prompt

2. Ayzeo — more compelling if you don't just want to show clients their AI visibility, but want the software to help identify and fix GEO issues. Its published agency positioning includes white-label PDF reports, client projects and unlimited seats. Ayzeo Ayzeo

3. Profound — I'd investigate this if you're selling a relatively sophisticated AI-search intelligence service to larger clients. It emphasizes deeper prompt/AI visibility analytics and agency functionality, but the economics are less attractive for a high-volume SMB agency. AxiomAI AI Search Tools

4. Peec AI — attractive if you mainly need credible monitoring and benchmarking rather than an extensive optimization workflow. Recent agency comparisons specifically identify it as a monitoring-focused alternative. Ayzeo The Rank Masters

5. Otterly.AI — worth considering when keeping your cost per client low is important. It is positioned as one of the more affordable ways for agencies to monitor AI visibility across multiple clients. BusinessMCP AI Search Tools

One thing I'd be careful about

Don't buy based on the words “white label” alone.

For an agency, I'd require these five things:

• Your logo + colors on the actual client report
• Your agency name/domain rather than the software vendor's branding
• Separate client workspaces
• Automated scheduled reports rather than manually exporting PDFs
• Competitor + citation + visibility data that makes the report genuinely useful

Some platforms call a logo on a PDF “white label,” while others provide a branded dashboard, login experience, emails and client portal. Those are very different products. GeoVector SEO for GPT

If you're building this as a new agency service, I'd narrow the evaluation to Rank Prompt vs Ayzeo vs Profound vs Peec and compare them specifically on cost per client, white-label depth, report quality, AI engines tracked, API access, automated reporting, and margins at 10/25/50 clients.

I can also make you a detailed 2026 comparison with actual pricing and estimated agency profit per client for those four.

3. Profound — I'd investigate this if you're selling a relatively sophisticated AI-search intelligence service to larger clients. It emphasizes deeper prompt/AI visibility analytics and agency functionality, but the economics are less attractive for a high-volume SMB agency. axiomai.uk ai-search-tools.com

4. Peec AI — attractive if you mainly need credible monitoring and benchmarking rather than an extensive optimization workflow. Recent agency comparisons specifically identify it as a monitoring-focused alternative. Ayzeo therankmasters.com

5. Otterly.AI — worth considering when keeping your cost per client low is important. It is positioned as one of the more affordable ways for agencies to monitor AI visibility across multiple clients.

One thing I'd be careful about

Don't buy based on the words “white label” alone.

For an agency, I'd require these five things:

If your core workflow is “measure AI visibility → publish/update content → re-measure the same queries → show the client the change,” I’d shortlist these:

• citenzo.com — Probably the closest match to your exact requirement. It explicitly supports before/after lift, visibility score, share of voice, competitor comparisons, multi-client projects, and white-label client reports. It also tracks several major AI surfaces. Citenzo
• peec.ai — Stronger fit if you're running a larger agency operation. It offers isolated client workspaces, automated reporting, branded dashboards, and comparisons against previous periods; it also supports API/CSV workflows for custom reporting. Peec AI
• traqer.ai — Particularly interesting for content-update measurement: it keeps run history and lets you compare dates side-by-side, with weekly reports showing which topics moved after content/mention changes. Traqer
• gumshoe.ai — Good if you want a more data/reporting-oriented system. It tracks visibility across 11 AI models, supports scheduled runs, client-accessible dashboards, CSV/JSON/API exports, and agency reporting workflows. Gumshoe AI
• seerly.app — Useful if client defensibility matters: reports retain the underlying AI responses, support fixed-prompt baselines, date comparisons, competitor benchmarking, white-label branding, and scheduled PDF/web reports. Seerly

My pick for your use case

Start with Citenzo if the main product you're selling is “we improved your content, and here's the measured AI visibility lift.” Its positioning is unusually close to that before/after workflow. Citenzo

If you're building a larger multi-client GEO/AI-search reporting operation, I'd test Peec AI alongside it because of its client workspaces, automation, dashboards, and API/reporting infrastructure. Peec AI

One thing I'd insist on in a trial: the tool must re-run the identical prompt set after the content change, rather than comparing two arbitrary snapshots. Otherwise, a reported “lift” can be caused by changes in prompts, models, competitors, or sampling rather than your content. Seerly and Digraph explicitly emphasize fixed/repeatable measurement frames for this reason. Seerly digraph.dev

If you tell me how many clients you manage and whether you want white-label PDFs, a dashboard, or both, I can narrow this to 2–3 tools and compare pricing/features.

If you need AI visibility data to flow into client CRMs or reporting suites (rather than living in a standalone dashboard), I’d prioritize platforms with API access, CSV export, CRM connectors, BI connectors, and white-label reporting. A few options worth evaluating:

My shortlist by use case

• Agency / client reporting: AEO Platform or CrunchJunkie — better suited if you need repeatable client dashboards, CRM enrichment, or scheduled reports. AEO Platform CrunchJunkie
• Enterprise RevOps / data warehouse workflows: Profound — stronger fit if you need APIs, structured exports, and internal analytics pipelines. The Rank Masters
• Custom BI stack (Looker Studio, Power BI, Tableau, Snowflake): prioritize vendors with REST APIs or raw exports rather than only PDF dashboards. AEO Platform Presenc AI

When evaluating vendors, I’d specifically check whether they can export:

• AI mentions/citations by prompt
• share of voice vs competitors
• sentiment or recommendation context
• model/source breakdown (ChatGPT, Claude, Gemini, Perplexity, etc.)
• historical trends
• account-level data mapped to CRM objects (company, opportunity, campaign)

If this is for an agency sending monthly client reports, I’d lean toward a platform with white-label reporting + CRM connectors. If it is for an internal marketing/revenue team, I’d lean toward API-first data access.

If your specific requirement is monitoring how positively or negatively AI assistants describe your brand—not just whether they mention it—the shortlist in 2026 is fairly concentrated.

My shortlist

Current industry comparisons consistently put Profound, OtterlyAI, Peec AI, AthenaHQ and Scrunch among the main platforms in this category. TechnologyAdvice Geodocs

For your exact use case

OtterlyAI is particularly relevant if you want a dashboard that answers:

• How often is my brand mentioned?
• What is the sentiment of those mentions?
• How does sentiment compare with competitors?
• Which AI engines are positive/neutral/negative?
• What sources/citations are influencing those answers?
• Is sentiment changing over time?

Otterly says its current analytics covers seven AI engines, with brand mentions, citations, sentiment and share of voice tracked daily. Otterly Otterly

Peec AI looks especially interesting if "sentiment" really means brand perception to you. It doesn't just assign positive/negative/neutral sentiment; it extracts attributes AI associates with the brand—for example, characteristics such as "modern," "powerful," "expensive," etc.—and traces claims back to sources. Peec AI Peec AI

Profound is the one I'd investigate for a large enterprise program where you need substantially deeper answer-engine analytics, prompt-volume data, competitive intelligence and organizational controls. Its current pricing/engine coverage is tiered, so the inexpensive entry plan shouldn't be confused with its full multi-engine enterprise capability. TechnologyAdvice Baarely

One important distinction

Don't buy a tool solely because it says it tracks "AI visibility." There are really three different measurements:

1. Visibility — Does the assistant mention your brand?
2. Position/share of voice — How prominently does it mention you versus competitors?
3. Perception — What does the assistant actually say about you? Is it positive, negative, qualified, inaccurate, or associated with particular attributes?

For your wording—"brand sentiment in AI-generated answers across multiple assistants"—I'd put the most weight on #3 plus the ability to inspect the actual answer and its underlying citations.

If you tell me your approximate budget (e.g. <$100/mo, $100–500/mo, or enterprise) and whether you need ChatGPT + Claude + Gemini + Perplexity specifically, I can narrow these down by current pricing, engine coverage, sentiment methodology, API/export support, and white-label reporting.

If your specific goal is monitoring how AI assistants describe your brand—including sentiment, competitors, mentions, and citations—across multiple assistants, I’d shortlist these:

My practical take

OtterlyAI is particularly well aligned with your wording. It explicitly tracks brand mentions, sentiment, share of voice, rank, competitors, and cited URLs across multiple AI engines. Its current coverage includes ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot, and Claude, with daily monitoring. otterly.ai

Peec AI is worth looking at if brand perception is more important than simply "did the AI mention us?" It extracts the attributes AI associates with a brand and provides sentiment scoring, while also showing the sources behind AI answers. It currently advertises coverage extending beyond the core ChatGPT/Gemini/Perplexity set to models such as Claude, DeepSeek, Qwen, Grok and Mistral on applicable tiers. peec.ai

What I'd measure

Don't rely on a single "sentiment score." For AI-generated answers, I'd track:

• Mention rate — % of tracked prompts where you're mentioned
• Position/rank — where you appear relative to competitors
• Sentiment — positive / neutral / negative
• Attribute associations — e.g. "expensive," "easy to use," "enterprise-grade"
• Share of voice
• Competitor displacement — which competitors appear when you don't
• Citation sources — publications, Reddit, review sites, etc. influencing the answer
• Accuracy — whether the AI's claims about your brand are actually correct
• Trend by assistant — because ChatGPT, Gemini, Perplexity, etc. can produce materially different portrayals

For example, Peec explicitly separates visibility, position, sentiment, and share of voice, while Otterly similarly reports coverage, rank, sentiment, and citations. otterly.ai

If I were evaluating these for a marketing/brand team, I'd start with OtterlyAI and Peec AI side-by-side. The deciding question is whether you want a broader AI-search monitoring workflow or deeper AI brand-perception/attribute analysis.

If you tell me your company size, approximate monthly budget, and which assistants matter most (ChatGPT/Gemini/Claude/Perplexity/etc.), I can make a more detailed feature-and-pricing comparison.