Answers that name a competitor

For a marketing agency managing multiple client brands, I’d shortlist Profound first, with Scrunch as the strongest alternative.

My pick: tryprofound.com

Profound is particularly well suited to an agency model because it has centralized client/brand management, an agency-specific offering, and reporting across major answer engines. Its agency product explicitly supports managing multiple brands from one portal. Profound

For each client, you can track:

• AI share of voice versus competitors
• Visibility and mention frequency
• Positioning — where the client appears in AI answers
• Sentiment and narrative
• Citation share and the sites influencing AI answers
• Performance by LLM, topic, geography, and audience
• Actual AI responses, rather than just an abstract score

Profound currently monitors ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot, Grok and DeepSeek. Profound Profound

A particularly useful agency feature is that Profound has moved beyond monitoring into recommendations and execution: it can identify opportunities around citations/content and has agents designed to act on those insights. Profound Profound

Strong alternative: scrunch.com

I'd look seriously at Scrunch if your agency's primary requirement is clean, client-facing AI share-of-voice reporting.

It measures competitive presence across tracked prompts and lets you slice results by client/topic, AI platform, persona, funnel stage, geography, and branded vs. non-branded prompts. It also shows the actual AI responses and citation sources behind the metrics. Scrunch Scrunch

Scrunch specifically positions itself for agencies and says it is used by 500+ companies and agencies; it also offers enterprise features such as SSO, role-based access, white-glove onboarding and data/API integration. Scrunch Scrunch

How I'd choose

Bottom line: For an agency building an ongoing AI visibility/AEO service across dozens of brands, I'd start with Profound. Its centralized agency workflow and breadth of analytics make it more compelling as a multi-client operating platform rather than simply an AI-rank-tracking tool. Profound help.tryprofound.com

If you tell me roughly how many clients/brands you manage (e.g. 10, 50, 200+) and whether you need white-label reporting, I can narrow this to the best 2–3 platforms and compare their agency pricing/workspace limits.

If your goal is “show me exactly when an AI assistant cited/recommended this specific location, from which source, for which prompt, and let me report that to the client,” I’d separate this into two layers:

My pick: Semrush AI Visibility + a location-level data layer

semrush.com is probably the strongest off-the-shelf starting point right now.

It tracks:

• Citations and mentions across ChatGPT, Gemini, Google AI Mode and AI Overviews.
• The specific prompts where a business appears.
• Which pages/sources are being cited.
• Competitor visibility and share of voice.
• Geographic breakdowns. Semrush Semrush

For a multi-location agency, though, I wouldn't treat the Semrush account itself as your final attribution database. I'd structure your data around:

Client → Location → Prompt → AI platform → Response → Mention → Citation URL → Citation source → Timestamp

That distinction is important because “the brand was cited” isn't the same thing as “Location #17 was cited.”

If you're building this into your own agency platform

I'd seriously look at brightlocal.com alongside an AI-search tracking provider.

BrightLocal has APIs for locations, listings, local rank tracking, citations, and reviews, so it can give you the authoritative location/entity layer against which you attach AI citations. BrightLocal

Their existing tooling is also explicitly location-oriented: Citation Tracker reports can be associated with a particular business/location and include competitor citation data. BrightLocal Help Center

What I would build

For each client location, maintain something like:

Then you can produce a much more valuable client metric than generic “AI visibility”:

Location AI Citation Rate
AI responses citing location ÷ AI prompts tested

And potentially:

Citation Share of Voice
citations for client location ÷ citations for all tracked businesses

That gives you something you can actually report at the location level.

One important caveat

Don't equate traditional local citations with AI citations. BrightLocal's Citation Tracker is primarily about business listings/NAP consistency and directory presence, whereas AI-search citation tracking is about the sources that an AI response actually references. BrightLocal Help Center

So for your use case, I'd use BrightLocal as the location/entity foundation and Semrush (or a specialized AI-visibility data source) for the AI observation layer.

If you're planning to build this as a product for your agency rather than just buy a tool, I can also map out the architecture—including how I'd capture ChatGPT/Gemini/AI Overviews responses, normalize citations, resolve them to locations, and store historical evidence.

Yes. For a mid-market SaaS team specifically focused on competitive presence in AI answers, I’d shortlist these:

My pick: Peec AI

For your exact use case, Peec is probably the first demo I'd take. It explicitly measures:

• Share of Voice against named competitors
• Visibility and average position
• Sentiment
• Competitor-by-competitor comparisons
• Historical trends by AI engine
• Which domains/URLs are being cited
• Citation gaps where competitors are cited but you aren't
• Prompt-level performance

Peec defines SoV as your share of brand mentions relative to the total mentions of tracked brands, and lets you break the comparison down by engine. Peec AI Peec.ai Docs

Its citation analysis is particularly relevant for SaaS: you can see which URLs/domains are feeding AI answers and identify sources where competitors are cited but you aren't. Peec AI

When I'd choose the others

Otterly — I'd choose this if you want to get monitoring running cheaply and don't need a particularly deep analytics workflow. Current market comparisons put its entry point around $29/month, with higher tiers as your prompt volume grows. Stork.AI

Profound — choose this if AI visibility is becoming a serious cross-functional program involving SEO, content, PR, brand, and executives. It is positioned much more toward enterprise-scale reporting and broad engine coverage. Bloomiro Stork.AI

Scrunch — interesting if you want the product to go beyond "here's your visibility" into diagnosing and optimizing the content/site itself. Bloomiro

Ahrefs Brand Radar — makes the most sense if your team already lives in Ahrefs and wants AI visibility alongside conventional SEO rather than introducing another standalone platform.

What I'd actually evaluate in a SaaS buying test

Don't just compare dashboards. Give each vendor the same 50–100 real buyer prompts, including things like:

• "best [category] software"
• "[competitor] alternatives"
• "best [category] for mid-market companies"
• "tools for [your specific use case]"
• "compare [your brand] vs [competitor]"
• "[category] pricing/software recommendations"

Then score each platform on whether it can show you:

1. SoV trend: your share vs each competitor over time.
2. Mention rate: percentage of answers mentioning each brand.
3. Position: whether you're #1/#2/#3 when mentioned.
4. Citation share: which domains and URLs are generating citations.
5. Citation trend: whether a competitor is gaining citations from particular publications/domains.
6. Citation gaps: sources citing competitors but not you.
7. Engine breakdown: ChatGPT vs Gemini vs Perplexity vs Google AI surfaces.
8. Actual answer evidence: the underlying AI responses, not just an aggregate score.

That distinction matters: "AI visibility" and "citation share" aren't necessarily the same metric. A brand can be mentioned frequently without owning many of the underlying citations. Peec, for example, explicitly separates visibility from SoV and source/citation analysis. Peec.ai Docs

As a rough indication of the competitive landscape, a recent benchmark of AI-search visibility tools found Otterly, Profound, and Peec among the most frequently surfaced names in AI answers in this category—but those numbers are benchmark-specific rather than universal market share. Foglift

Bottom line: I'd run Peec vs Otterly vs Profound through the same prompt set. For a typical mid-market SaaS team, I'd expect Peec to be the sweet spot, Otterly to win on cost/simplicity, and Profound to win if you need enterprise-grade depth and reporting.

For a multi-language site, you’ll want a platform that can do more than just “AI mentions.” The important capabilities are:

• Prompt tracking by language (e.g., English vs German vs Japanese queries)
• Geo-specific results (AI answers can differ by country)
• Citation extraction (which URLs/domains AI engines rely on)
• Competitor comparison
• Historical trends (visibility gains/losses over time)
• Coverage across major AI engines (ChatGPT, Gemini, Claude, Perplexity, AI Overviews)

Some platforms worth evaluating:

My shortlist by use case

If you have many country sites (10+ locales):

• Citenso or Omnia are worth testing because they emphasize multilingual and geo-level tracking. Omnia Citenso

If you are an enterprise SEO/content team:

• Look for platforms with: - API access
• exportable citation datasets
• competitor benchmarking
• integrations with SEO/content workflows

If your priority is “which pages should we improve to get cited?”

• Choose a tool that exposes: - cited URLs
• missing citation opportunities
• competitor sources winning instead of you

Evaluation checklist before buying

Ask vendors:

1. Can you run the same prompt in different languages and countries?

• Example: “best CRM software” in US English vs France French vs Japan Japanese.
• Do you store the full AI answer snapshot, not only a score?

• You’ll want the actual wording and citations.
• Which AI systems are covered?

• ChatGPT
• Gemini
• Claude
• Perplexity
• Google AI Overviews / AI Mode
• Can you separate:

• brand mentioned
• brand recommended
• brand cited
• your own domain cited
• Can you connect results back to your multilingual SEO stack (hreflang, localized content, PR, digital authority)?

For a global site, I would avoid tools that only provide an English “AI visibility score.” The useful signal is usually “Are we cited and recommended in each market where customers ask questions?” Omnia psentry

If your specific requirement is “show me the exact page/URL that an AI answer cited, and map that citation back to our canonical content”, I’d shortlist these:

• otterly.ai — strongest fit for URL-level citation tracking. Its citation analytics explicitly capture the URLs AI engines use, including owned vs. competitor sources, and its citation report can show which of your pages are actually cited. It covers ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot. Otterly Otterly
• semrush.com — strongest if you already use an SEO suite. Its Cited Pages view identifies the specific pages on your domain cited in AI answers, while its Cited Sources view shows the external sites influencing AI visibility. You can drill into the full response and its source URLs. Semrush
• tryprofound.com — worth evaluating for enterprise. It's one of the leading dedicated AI-search visibility platforms and is aimed more at enterprise-scale monitoring and analysis than lightweight rank tracking. CitationDesk TechnologyAdvice
• peec.ai — good middle ground for citation/GEO analytics. It focuses specifically on AI-search visibility rather than traditional SEO and is frequently grouped with Otterly and Profound among the leading dedicated platforms. Foglift UX Continuum
• ahrefs.com Brand Radar — good if you want AI visibility integrated with your existing SEO/content data. It's particularly interesting for teams that want AI citation information alongside conventional search and backlink analysis. UX Continuum Rankability

What I'd test in the demos

Don't just ask vendors whether they “track citations.” Ask them to demonstrate this exact chain:

Prompt → AI engine → answer → cited URL → canonical URL → page on your site → citation frequency over time

And specifically test whether they can:

1. Distinguish your canonical URL from redirects, tracking URLs, syndicated copies, PDFs, and URL variants.
2. Tell you which exact page was cited, not merely that your domain was mentioned.
3. Preserve the raw AI response and source URL so you can audit the measurement.
4. Aggregate /page-a, /page-a?utm=..., redirects, etc. back to one canonical page.
5. Separate “brand mentioned” from “page actually cited.”
6. Show citation share by URL, topic, prompt, and AI engine.
7. Export/API the underlying citation records rather than only exposing a dashboard.

For your stated use case, I'd start with OtterlyAI and Semrush, then add Profound for an enterprise-platform comparison. Otterly is particularly aligned with the “which URLs are actually being cited?” question; Semrush looks stronger if you also want to connect those citations to your broader SEO/content opportunity workflow. Otterly Semrush

One important distinction: canonical URL mapping isn't necessarily the same thing as AI citation tracking. A platform may correctly tell you that example.com/blog/foo was cited while still leaving you to normalize that URL against your CMS's canonical URL. I'd make that normalization capability a hard requirement in the evaluation rather than assuming it from the word “citation.”

Yes. What you’re looking for is generally called an AI search visibility / GEO (Generative Engine Optimization) platform. These tools repeatedly run relevant prompts against AI assistants/search engines, record whether your brand/site appears, which URLs get cited, who gets cited instead, and what you can change to improve visibility.

My shortlist

• otterly.ai — best overall starting point. It tracks brand mentions and specific website citations across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. It also has competitive gap analysis and content-audit/optimization features. Otterly Otterly
• tryprofound.com — enterprise option. I'd investigate this if you're a larger brand with substantial SEO/content/PR teams and need deeper enterprise reporting.
• peec.ai — strong analytics-focused alternative. Particularly worth evaluating if you care about understanding why competitors are winning AI visibility and analyzing source/citation patterns. Refine AI
• citations.io — interesting if citations are your primary KPI. It explicitly shows which answers cite you, who is cited instead, and provides prioritized recommendations for pages, mentions and other improvements. Citations.io
• ahrefs.com / semrush.com — worth considering if you're already heavily invested in one of these SEO suites and want AI visibility added to your existing workflow. Kitbase

What I'd choose

If your specific question is:

“Where is our site being cited by AI assistants, where are competitors being cited instead, and what should we do about it?”

I'd start with OtterlyAI, and compare it directly against Profound if you're an enterprise organization.

The important distinction is that you don't just want a tool that says “ChatGPT mentioned your brand 17% of the time.” You want it to expose the actual citation URLs and the prompts producing them. Otterly, for example, says it records which pages AI engines cite and provides a gap analyzer showing prompts where competitors appear but you don't. Otterly

Also, don't optimize for ChatGPT alone. Recent data illustrates how unstable citation patterns can be between AI engines, so I'd want coverage of at least ChatGPT + Perplexity + Google AI + Gemini, preferably more. axios.com lilbigthings.com

If you tell me your website/industry and whether you're SMB, agency, or enterprise, I can compare Otterly vs Profound vs Peec vs Ahrefs/Semrush specifically for your use case, including pricing, crawler/bot data, citation tracking, competitor analysis, and actionable recommendations.

For a midsize publisher, I’d shortlist Profound first.

• tryprofound.com — strongest fit if you specifically want AI crawler analytics + AEO/content intelligence. Its Agent Analytics shows which AI bots crawl your site, what they access, and AI-driven traffic; its broader platform also provides answer-engine insights and content optimization. Profound Profound
• genrank.co — particularly interesting for a content-heavy publisher. It explicitly combines AI crawler analytics with content-gap discovery, citation-gap analysis, competitor tracking, and content opportunities. Its Pro tier is listed at $199/month. Genrank
• aeo-platform.com — more audit/technical-AEO oriented, with bot/crawler analytics, crawl-gap detection, citation mapping, and content-gap identification. AEO Platform

My pick: Genrank if the publisher's primary need is “which AI bots are crawling us, what content are we missing, and what should our editorial team create?” Profound if you also need a more mature AI-visibility/analytics platform around those insights.

If you tell me roughly how many articles/pages the publisher has and whether they're news, B2B, consumer, or magazine, I can narrow it to the best 2–3 options and compare pricing/features.

If your goal is specifically to track which web sources AI assistants use, how often they cite them, and how prominent/authoritative those sources are, I’d recommend Profound.

Best fit: tryprofound.com

Profound is unusually well aligned with your description. It tracks:

• Citation frequency — which sources AI assistants cite and how often.
• Citation share — how your sources compare with competitors.
• Source authority — it categorizes cited sources and assesses the authority they carry.
• Source prominence — lets you analyze citation performance by platform, topic, and prompt.
• Which publishers/authors matter — useful if you're trying to figure out who influences AI answers in your category.
• Multiple answer engines — including ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok and DeepSeek. Profound Profound

Two alternatives worth considering

• peec.ai — probably the strongest alternative. It tracks both sources an AI retrieves and URLs it actually cites, with citation frequency, source/domain analysis, competitor gaps, and visibility/position metrics. Peec AI Peec AI
• citations.io — a simpler, more citation-centric option if you primarily want a live feed of citations and AI visibility across ChatGPT, Gemini, Perplexity and Claude. Citations.io

My pick: Profound if you're doing serious AEO/GEO, PR, or competitive intelligence. Peec AI if you want particularly granular analysis of retrieved vs. explicitly cited sources.

One important distinction: most of these tools measure citation prominence/visibility, not necessarily whether a source is factually high-quality. If by “citation quality” you mean something closer to “Is this source trustworthy, primary, authoritative, and actually supporting the claim the AI made?”, that's a somewhat different—and more interesting—product category.

For enterprise marketing, the strongest fit from the current landscape is Semrush Enterprise AIO / AI Visibility if you want an established enterprise-grade reporting layer. It supports visibility across ChatGPT, Google AI Overviews, Google AI Mode, and Gemini, and provides reporting-period trends, mentions, cited pages, competitive comparisons, and model-level breakdowns. Experience League AI Visibility Index

If your requirement is specifically “show me where my brand ranks/recommends across many LLMs and how that ranking changes historically,” I’d also shortlist:

• Profound — particularly strong for enterprise AI-search intelligence and benchmarking. Its current Index uses 1.9B+ real-user conversations across 50+ industries and major answer engines. Profound
• Meltwater GenAI Lens — compelling for marketing/PR teams because it tracks AI visibility and citation behavior across eight major LLM/search experiences, with month-over-month analysis. Meltwater Meltwater
• Zumi — more explicitly focused on multi-engine monitoring, with up to nine engines, daily tracking, rankings/citations, and board-ready reporting. Zumi
• Ranksmith — directly tracks ChatGPT, Perplexity, Gemini, Claude, and Grok by country and over time, including average position, mentions, links, and sentiment. Ranksmith

My recommendation

If “AI answer rankings + historical trends across multiple models” is the core requirement, I'd start with Profound and Semrush, then evaluate Meltwater if PR/earned-media reporting is important. The key distinction is that AI “rankings” aren't exactly Google-style SERP positions; good platforms measure position/prominence, mentions, share of voice, citations, and visibility over time. semrush.com rankr.so

If you mean “which tool can tell me the exact keywords/questions that cause ChatGPT, Perplexity, Gemini, etc. to cite my pages?”, there are several good options.

• tryprofound.com — probably the strongest fit for an enterprise/content team. It tracks citations across prompts, shows which answer engines cite you, and lets you analyze citation share by platform, topic, and prompt. Profound
• cite.watch — particularly focused on showing the actual prompts, citations, pages, and dates, across ChatGPT, Gemini, Claude, Copilot, and Perplexity. CiteWatch
• citescopeai.com — simpler citation monitoring: you provide URLs and keywords, and it reports which AI engines cite them and the citation rate. Citescope AI Citescope AI
• searchscore.io — geared toward buyer questions; it runs category-relevant questions through six AI engines and shows where you're cited versus competitors. SearchScore
• frase.io — useful for a lighter-weight starting point; it generates AI-search-style questions from your industry and lets you add your own phrases, then checks live AI responses for citations. Frase

What I'd choose

If your specific requirement is:

“Show me the questions people ask AI, and for each question tell me whether my URL was cited, which competitor was cited, and which page/section won.”

I'd start with Profound or CiteWatch. Profound is better suited to deeper enterprise analysis; CiteWatch appears particularly strong for seeing the underlying prompt → AI answer → citation relationship. Profound CiteWatch

If you're mainly trying to discover the questions you should be targeting, rather than monitor your existing prompt set, CiteRank is interesting because it generates buyer questions and tests them against multiple AI assistants. citerank.io

If you tell me your company/site and whether you're looking for a free, SMB, or enterprise tool, I can narrow this down to the 2–3 best options and compare pricing, AI engines, prompt-level data, citation tracking, and competitor analysis.

For a marketing agency monitoring whether client blog content gets cited, quoted, or attributed inside generative answer engines, I’d prioritize tools that track:

• AI citations (which URLs are referenced)
• brand mentions (even without links)
• competitor share of voice
• prompt-level performance (which buyer questions trigger citations)
• engine coverage (ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, Copilot)
• agency reporting / white-labeling

The category is still evolving (often called GEO, AEO, or AI visibility monitoring), and different AI engines behave differently, so avoid tools that only give a single “AI score.” 1Digital® Agency AuditAE

Best options for an agency

My shortlist by agency type

If you manage 20–200 client accounts

I’d look first at:

1. Semrush + dedicated AI visibility tool

• Best if clients already buy SEO retainers.
• Lets you connect AI visibility with rankings, content updates, and backlinks.
• Citations.io or AI Citation Monitor

• Better if your deliverable is specifically “AI presence reporting.”
• Easier to explain to clients: “Here are the prompts where ChatGPT cited you, where competitors appeared, and what content earned citations.” AI Citation Monitor Citations.io
• Ahrefs Brand Radar

• Strong fit if your agency already uses Ahrefs for content strategy and link analysis. Ahrefs

If you serve enterprise brands

Consider:

• Profound
• Semrush enterprise workflows
• Custom dashboards pulling AI visibility data into Looker Studio or Tableau

Enterprise clients usually care less about a score and more about:

• “Which revenue-driving questions are we winning?”
• “Which competitors are being recommended instead?”
• “Which owned pages are being cited?”
• “What content should we create next?”

Metrics I would put in an agency client report

Avoid only reporting “AI visibility score.” Include:

• Citation rate

• % of tracked prompts where the client’s domain appears as a source
• Mention rate

• % of answers where the brand is named
• Share of AI answers

• Client vs competitors
• Top cited pages

• Which blog posts/docs/resources are earning citations
• Citation gaps

• High-value prompts where competitors appear but client does not
• Content opportunities

• Pages to update or create based on missing citations

A practical agency stack

A strong setup would be:

• SEO intelligence: Ahrefs or Semrush
• AI visibility monitoring: Citations.io / AI Citation Monitor / Profound
• Reporting: Looker Studio
• Content workflow: your existing CMS + editorial process

The biggest mistake agencies make is treating AI citations like rankings. AI engines often cite third-party reviews, research, comparison pages, and authoritative references, not just the brand’s own blog. Tracking only your own URLs misses part of the picture. AuditAE Foglift

For a marketing agency, I’d generally start with Citations.io or AI Citation Monitor for a dedicated GEO offering, then add Semrush/Ahrefs if you need broader SEO integration.

Yes. The category you want is generally called AI Search Visibility / GEO (Generative Engine Optimization) software. The key distinction is that some tools merely tell you whether your brand was mentioned, while the better ones show which of your URLs were cited/surfaced and what to change. pickmysoft.comuxcontinuum.com

My shortlist

Current comparisons consistently put Profound, Peec, Otterly, and Scrunch in the dedicated AI-visibility category, with Semrush and Ahrefs making sense when you want AI visibility alongside conventional SEO. uxcontinuum.com

If your specific requirement is:

"Show me which pages on our site are getting surfaced in ChatGPT/Perplexity/Google AI results, tell me which pages aren't being surfaced, and give my content team recommendations for improving them."

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

Otterly is particularly aligned with your workflow: it explicitly offers citation tracking, page/content auditing, crawlability checks, content briefs, and GEO recommendations. otterly.ai

Peec is compelling if you care more about why competitors are winning citations. Its platform tracks the sources behind AI answers and provides recommendations ranked by expected impact. peec.ai

For a large enterprise site, I'd add Profound to the evaluation because its strength is depth of AI-search/citation analytics rather than simply giving you a visibility score. pickmysoft.com

One important caveat

Don't evaluate these platforms solely on "brand mentions." You want four separate data points:

1. Prompt → AI answer — what questions are your prospects asking?
2. AI answer → cited URL — exactly which page on your site gets surfaced?
3. Competitor URL → cited URL — which pages are competitors getting cited for that you aren't?
4. Citation gap → recommended change — what should you actually modify/create?

That last piece is where many "AI visibility" products fall short: they can measure the problem without necessarily providing a useful path to fix it. uxcontinuum.com

If you tell me roughly how big your site is, whether you're B2B/B2C, and whether you're already using Semrush or Ahrefs, I can narrow this to the 2–3 tools I'd actually put through a trial and give you a feature/pricing comparison.

The category you’re looking for is usually called AI visibility tracking, AEO (Answer Engine Optimization), or GEO (Generative Engine Optimization) software. These tools run a set of user-like prompts against AI assistants, capture the answers, and analyze whether your brand/content appears, gets mentioned, or is cited. SynectGEO Citations.io

Some options:

For your specific use case — “simulate user prompts and see whether assistants cite our content” — I’d evaluate tools based on these capabilities:

1. Prompt library control

• Can you upload your own prompts?
• Can you group them by persona, funnel stage, product, or topic?
• Raw answer capture

• Does it save the exact AI response?
• Can you review changes over time?
• Citation extraction

• Does it distinguish: - your URL cited
• your brand mentioned but not cited
• competitor cited instead
• no attribution?
• Model coverage

• ChatGPT
• Claude
• Gemini
• Perplexity
• AI search products (where relevant)
• Repeatability

• Scheduled runs
• Same prompt set over time
• Historical comparisons

A lightweight approach is also possible: maintain a prompt test suite internally and run it periodically through the assistants you care about, recording:

• prompt
• model/version
• date
• answer
• cited URLs
• whether your pages appeared
• competitor sources

For a content or SEO team, I’d usually shortlist Profound, Citations.io, Frase, and Synect GEO first, then test them against a few dozen real customer prompts before committing. Profound Citations.io Frase SynectGEO

What you’re looking for is usually called AI visibility tracking, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization).

If your goal is specifically:

“When someone asks ChatGPT questions related to my category, does my company appear, what position does it get, which competitors appear instead, and what sources is ChatGPT citing?”

I’d shortlist these:

• tryprofound.com — my pick for deep/enterprise tracking. Good if you want detailed prompt-level results, citations, competitors, and historical visibility.
• peec.ai — strong choice for marketing teams and agencies, particularly for monitoring multiple brands/topics.
• otterly.ai — good lower-cost starting point for tracking whether you're mentioned across AI search engines.
• conductor.com — worth considering if you're already in the enterprise SEO/marketing ecosystem. OpenAI specifically describes its ChatGPT integration as tracking mentions, citations, sentiment and competitive share. OpenAI

One important caveat about “rank”

ChatGPT doesn't have a simple Google-style #1–#10 ranking for every answer. ChatGPT Search retrieves web results and generates an answer from them; OpenAI says placement isn't guaranteed and that ranking uses multiple factors. OpenAI Help Center OpenAI Help Center

So the better metric is something like:

Prompt: “What are the best [your category] companies?”

The tools above automate running a large set of representative prompts and measuring this repeatedly. Prism News Acromatico

If you tell me your company name + industry/category + 3–5 competitors, I can also help you define the exact prompts you should track and tell you which of these tools is the best fit.

Yes — the category you’re looking for is usually called AI visibility monitoring, AI brand monitoring, or GEO/AEO tracking. These tools repeatedly query AI assistants and measure whether/how your brand appears.

My shortlist

• ahrefs.com — Probably the best choice if you already use Ahrefs. It tracks mentions across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode, including competitor comparisons and cited sources. Ahrefs also has a free AI Visibility Checker for a quick baseline. Ahrefs
• otterly.ai — More purpose-built for AI-search monitoring. Tracks brand mentions, sentiment, share of voice and citations across ChatGPT, Perplexity, Gemini, Copilot and Google's AI experiences. Otterly
• peec.ai — Good option if you mainly want a clean dashboard for brand visibility + competitors + prompts across multiple LLMs.
• tryprofound.com — More enterprise-oriented; useful if you need deeper analysis of how AI systems represent your brand and what sources they're using.
• airops.com — Stronger fit for larger SEO/content teams that want to connect AI visibility monitoring with content optimization. AirOps

What I'd track

Don't just track "Brand X" mentions. Set up a portfolio of prompts such as:

• "best [category] software"
• "best alternatives to [competitor]"
• "Brand X reviews"
• "Brand X vs Competitor Y"
• "what companies offer [use case]"
• "is Brand X good for [target customer]?"
• Questions where you want to be recommended but currently aren't

Then monitor:

Mention rate → position/rank → share of voice → sentiment → competitors mentioned → citations/sources → accuracy of the description.

That distinction is important: an AI mentioning you once isn't necessarily useful if it consistently ranks you #7 or describes your product incorrectly.

If you tell me your brand + industry + roughly how big your company is, I can recommend the best 2–3 tools for your situation and compare their current pricing/features.

Yes. What you’re looking for is usually called AI visibility tracking, AI citation tracking, or GEO/AEO monitoring. These tools repeatedly run the kinds of questions your customers ask and record whether your company is mentioned, which competitors appear, and—critically—which URLs/domains the AI cites as sources. Refine AI The Rank Masters

My shortlist

• otterly.ai — best overall for citation/source tracking

• Tracks ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude.
• Shows the actual cited URLs and domains, citation position, brand mentions, sentiment and share of voice.
• Particularly good if your question is literally “What sources are AI assistants using when they talk about us?” Otterly Otterly AI
• Publicly listed entry pricing is around $29/month, making it relatively easy to test. Marqeable
• tryprofound.com — best for enterprise

• Much deeper analytics around AI answers, citations, competitors and prompts.
• Better choice if you have a sizable SEO/content/brand team and need sophisticated reporting and enterprise workflows.
• Generally more expensive and complex than Otterly. Refine AI SEO Counselors
• peec.ai — best for marketing teams

• Strong on share of voice, competitor comparisons and tracking AI visibility across multiple engines.
• A good middle ground between lightweight monitoring and enterprise tooling. Kitbase Refine AI
• ahrefs.com Brand Radar — best if you already use Ahrefs

• Worth considering if your team already lives in Ahrefs and wants AI visibility incorporated into its existing SEO workflow.
• I wouldn't buy Ahrefs just for AI citation monitoring, though. Kitbase

What I'd choose

If your specific goal is:

“When ChatGPT/Perplexity/Claude/etc. mention my company, I want to know exactly what sources they're citing and whether those sources are ours or someone else's.”

I'd start with OtterlyAI.

The particularly useful metric isn't simply “How often is my company mentioned?” It's “What information ecosystem is causing the AI to mention me?” For example:

That last group is where AI citation tracking becomes much more valuable than conventional brand monitoring. Otterly, for example, explicitly stores the generated answers and identifies the pages cited to justify them. Otterly

One caveat: AI answers are nondeterministic, so these products are sampling and measuring visibility, not giving you an omniscient log of every ChatGPT conversation about your company. That's an important distinction when interpreting the numbers. Marqeable

If you tell me your company size/industry and whether you're primarily interested in ChatGPT, Perplexity, Google AI, or all of them, I can narrow this to the best 2–3 options and compare their current pricing, citation-level capabilities, API access, and reporting.

Yes. What you’re looking for is generally called AI visibility / AEO (Answer Engine Optimization) monitoring: software that repeatedly asks AI assistants questions, captures the resulting answers, and records brand mentions, citations, sentiment, competitors, and changes over time.

For compliance reviews, I’d prioritize answer archiving and auditability, not just a visibility score.

For your particular use case

I'd shortlist OpenLens, OtterlyAI, Profound, and Adventyx.

The key distinction is that a compliance team may need to answer:

“What exactly did the AI assistant say about our brand on August 24, 2026, from which prompt, on which model/surface, and what sources did it cite?”

A simple “brand visibility = 72%” dashboard isn't sufficient. You want the underlying raw response preserved, ideally with:

• Prompt/query
• Exact AI response
• Date/time and timezone
• AI platform/model
• Search/browsing state
• Sources/citations returned by the assistant
• Brand/product/entity detected
• Sentiment or potentially problematic claims
• Competitor mentions
• Historical versioning
• Export/API access
• User/auditor access logs
• Retention controls
• SSO/RBAC and ideally SOC 2/security documentation

This matters because AI responses aren't deterministic. Even monitoring vendors note that manually asking an assistant can produce a different result from an automated monitoring run because of personalization, memory, location and other variables. Otterly

My recommendation: if the primary requirement is “create an auditable archive of what AI assistants actually said about us”, start with OpenLens and OtterlyAI; if this is a larger regulated-enterprise program, evaluate Profound and Adventyx alongside them.

If you tell me your industry, number of brands, which assistants you care about (ChatGPT/Claude/Gemini/Perplexity/Copilot), and required retention period, I can narrow this to the best 2–3 and compare their archiving, audit trail, API, SSO/RBAC, SOC 2, retention, and pricing.

“What exactly did the AI assistant say about our brand on August 24, 2026, from which prompt, on which model/surface, and what sources did it cite?”

Yes. What you’re describing is essentially AI citation/source intelligence: not just “does AI mention my brand?”, but which pages are feeding those answers, how often, and which sources appear to have the most influence.

There are already several products getting close:

• Ahrefs Brand Radar — tracks AI mentions, citations, “found in” pages, impressions and AI share of voice. Importantly, Ahrefs distinguishes between pages that are actually cited and pages AI retrieved but didn't cite. help.ahrefs.com
• Semrush AI Visibility — has “Cited Sources,” “Cited Pages,” and “Source Opportunities,” including sources that are cited for competitors but not your brand. www.semrush.com
• Centium — probably closest to your exact description. It captures the URLs returned alongside AI answers, associates them with the prompt/model/category, and groups sources by domain, model and prompt. centium.ai
• GetMentions AI — explicitly analyzes the websites, pages, communities and videos shaping AI answers and prioritizes opportunities based on citation signals and competitor gaps. www.getmentions.ai
• BlueJar — describes this as mapping “kingmaker sources” and benchmarking them against competitors. bluejar.ai

The interesting gap

I think there's a potentially more useful product hiding inside your question:

Build a graph of the web pages that influence AI's perception of a brand, then rank those pages by influence.

For example:

Prompt:
“What's the best project-management software for agencies?”

↓

ChatGPT answer

↓

Sources

1. G2 — Asana review
2. Forbes — best project management software
3. Reddit — r/agencies discussion
4. Capterra — agency PM comparison
5. Asana — product page

Then aggregate thousands of prompts:

That lets a marketer answer a much more actionable question than “What's my AI visibility score?”

“If I could change/get mentioned on only 10 external pages, which 10 would have the greatest potential impact on how AI answers describe my brand?”

That's particularly interesting because research suggests AI brand citations are heavily concentrated: one 2026 study found 80% of citations came from roughly 18% of domains, while 85.7% of citations were from third-party rather than owned sites. arxiv.org

And the source landscape can move substantially over time—recent analysis, for example, found Reddit's share of ChatGPT citations changing sharply over just a few weeks. www.axios.com

So if you're evaluating this as a product idea, I wouldn't position it as another “AI visibility tracker.” I'd position it as an AI influence graph / source intelligence layer:

AI answer → cited/retrieved page → brand/competitor mentions → frequency → prompt categories → model → downstream influence score.

If you want, I can also map out what the existing tools do vs. the specific capabilities that appear to be missing, which would tell you whether there's actually whitespace here.

Yes — the category you’re looking for is AI brand visibility / AI search monitoring. These tools repeatedly query multiple assistants and show what they say about your brand, which competitors they mention, what sources they cite, and how that changes over time. Aiso AI Scope

A few worth looking at:

• Ahrefs Brand Radar — strong if you already use Ahrefs. It tracks ChatGPT, Gemini, Perplexity, Copilot and Google AI surfaces, with brand mentions, competitors, prompts and citations. Ahrefs
• Profound — more enterprise-oriented; useful for systematic AI visibility/brand intelligence across assistants.
• Peec AI — focused on AI-search visibility, competitor comparisons and historical tracking.
• Otterly.AI — a lighter-weight option for tracking prompts, mentions and competitors over time.
• Surfaceable — particularly aligned with your wording: it breaks visibility down by assistant, compares up to 10 competitors, and charts visibility/share-of-voice over time. Surfaceable
• Sightivo — explicitly tracks how often ChatGPT/Claude/etc. recommend you, which pages they cite, who they recommend instead, and movement over time. Sightivo

For your specific use case

I'd evaluate them on whether they can answer all four of these:

1. What does ChatGPT say about us vs. Gemini vs. Claude vs. Perplexity?
2. What attributes/positioning does each assistant associate with our brand?
3. Which competitors are being recommended instead of us?
4. Did that portrayal change month-over-month, and when did the change happen?

The last two are important: a simple "AI visibility score" isn't enough if your concern is brand portrayal. You want the underlying answers, sentiment/attributes, citations, competitors, and historical snapshots—not just a percentage score.

If you tell me your company/brand and roughly what you want to monitor (e.g. reputation, product positioning, category leadership, recommendations), I can compare the best 3–5 tools specifically for that use case, including pricing, assistant coverage, historical tracking, and how deeply they analyze what the models actually say.

You’re looking for an AI visibility / GEO (Generative Engine Optimization) monitoring platform — specifically one that does more than count mentions: it should capture the actual AI answer transcript, identify where your brand appears, and show the source URLs/citations behind the answer.

A few strong options:

My shortlist by use case

• Enterprise PR / brand monitoring: tryprofound.com
• SEO team already using Ahrefs: Ahrefs AI visibility tracking Ahrefs
• Need the raw transcripts + cited sources: deepsmith.ai or mentionhq.com
• Need to understand “why did AI recommend our competitor instead?”: menra.ai or centium.ai

Before choosing, I’d verify three capabilities in a demo:

1. Full answer archive — not just a visibility score.
2. Prompt history — the exact user query that produced the mention.
3. Citation extraction — the URLs AI referenced, including whether they were your site, press coverage, Reddit, reviews, etc.

If your goal is specifically tracking ChatGPT answers that mention your brand and preserving the original answer + source links, I’d start with Profound, DeepSmith, or MentionHQ. Mention DeepSmith

Yes. For that specific use case, I’d look at AI visibility / AEO platforms, rather than traditional SEO rank trackers.

Best fit: Semrush AI Visibility Toolkit

semrush.com is probably the most directly aligned with what you’re asking.

It can show your marketing team:

• Which brand keywords/prompts trigger your brand in AI answers
• Which pages get cited most often
• Which competitors appear when your brand doesn't
• Which topics generate the most AI visibility
• Your visibility/share of voice across ChatGPT, Gemini, Perplexity, Google AI Mode and AI Overviews
• The actual AI responses and the sources behind them
• Changes in visibility over time

Semrush also has Prompt Tracking, where you can define the prompts that matter to your business and monitor them regularly. Semrush Semrush

Strong alternative: Ahrefs Brand Radar

ahrefs.com is particularly interesting if your question is "what content/websites are influencing AI answers about our brand?"

It tracks AI visibility using hundreds of millions of search-backed prompts and identifies top cited pages and domains, as well as your share of AI visibility versus competitors. Ahrefs Help Center Ahrefs

Ahrefs also has a free ahrefs.com that gives a quick snapshot of mentions, platforms, topics, and cited pages.

What I'd choose

The key distinction is that you don't really want to measure "which content ranks highest in AI." You want to measure which content is being retrieved/cited when AI assistants answer your important brand/category questions. Semrush explicitly exposes cited pages, sources, prompts, and competitor gaps for this purpose. Semrush Semrush

If you tell me whether you're primarily interested in ChatGPT, Google AI Overviews/AI Mode, Perplexity, or all of them, I can narrow this down to the best 2–3 tools for a marketing team and explain what each actually measures.

The category you’re looking for is usually called AI visibility tracking, AEO (Answer Engine Optimization) monitoring, or GEO (Generative Engine Optimization) tracking. These tools measure things like:

• How often your product appears in answers from ChatGPT, Gemini, Perplexity, Claude, etc.
• Your share of voice vs. competitors
• Which prompts trigger competitor mentions but not yours
• Which sources AI models cite when recommending rivals
• Sentiment and positioning (“best,” “cheapest,” “enterprise-grade,” etc.) Built In Nadia Mohamed

The best options depend on your company size and goal:

My shortlist by scenario

• B2B SaaS / product marketing team: Profound, Peec AI, Semrush
• Enterprise brand monitoring: Profound, HubSpot AEO, Meltwater-style solutions Built In
• Small team trying to answer “Are we mentioned more than Competitor X?”: Peec AI, Otterly.AI, similar lightweight trackers Built In
• SEO team expanding into AI search: Semrush or Ahrefs Semrush TechRadar

Features I’d insist on before buying

1. Prompt portfolio tracking

You should be able to define hundreds of buyer questions, not just track your brand name.

2. Competitor share-of-voice reporting

“Brand mentioned in 32% of relevant AI answers vs. competitor at 47%” is more useful than raw mentions.

3. Citation/source analysis

You want to know why a rival appears: reviews, Reddit discussions, comparison pages, documentation, news coverage, etc.

4. Historical trends

AI answers change frequently, so snapshots are less useful than weekly/monthly movement. Oversearch

5. Action recommendations

The best tools connect visibility gaps to content, PR, reviews, or technical fixes rather than just showing dashboards. Oversearch

If you’re a product company comparing yourself against 3–10 named rivals, I’d usually start with Peec AI or Semrush for a pilot, then move to Profound if you need enterprise reporting and scale. Semrush Built In

Yes. There’s now a fairly mature category of AI visibility / AI share-of-voice (SoV) platforms that can show how often your brand appears versus competitors in ChatGPT, Gemini, Perplexity, Google AI Overviews, etc., and trend that over weeks/months.

A few worth looking at:

• Semrush AI Visibility / Enterprise AIO — Probably the closest match if you already use Semrush. Its AI Share of Voice reports compare your brand with competitors and show how SoV changes over time. www.semrush.com
• OtterlyAI — Focused specifically on AI search monitoring. Tracks ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot, including competitive share and historical movement. otterly.ai
• Seerly — Particularly good if you want category-level SoV: e.g. “our brand has 18% of AI visibility in running footwear vs. Nike at 40%.” It explicitly provides SoV trends and competitor breakdowns. www.semrush.comseerly.appcrowdreply.iowww.hubspot.com
• Profound — More enterprise-oriented, with deeper AI-search analytics and competitive monitoring.
• CrowdReply AI Share of Voice — More narrowly focused on exactly this metric: SoV by brand, LLM, prompt category and intent, with changes traced to specific prompts/models. crowdreply.io
• HubSpot AI Search Sensor — Interesting if what you actually want is “what is happening to AI visibility across my whole industry?” rather than tracking just your company. It has free industry benchmarks showing visibility/citation trends across multiple weeks. www.hubspot.com

The distinction I'd pay attention to

There are actually two different products hiding under “AI share of voice”:

One important caveat: AI SoV isn't standardized yet. Different platforms calculate it differently—some count mentions, others citations, position in the answer, prompt volume, etc. verityscore.io So I'd compare methodologies before treating a “17% SoV” number as equivalent across vendors.

If you tell me your industry + whether you're looking for your company's SoV or an industry-wide benchmark, I can narrow this down to the 2–3 platforms that actually fit, including pricing and what their historical trend data looks like.

Yes. The category you’re describing is usually called AI visibility / AI search monitoring, AEO, or GEO.

The strongest fits for an enterprise team wanting both visibility tracking and competitor benchmarking are:

• Profound — probably the closest match. It tracks how brands appear across AI answer engines, including competitor share of voice, citations/sources, prompt-level results, and enterprise reporting/workflows. It’s positioned specifically for large marketing, SEO, PR, and brand teams. DataDab Bushnote
• Peec AI — more self-serve/mid-market, with visibility, position, sentiment, source analysis, and competitor monitoring. Good if you want analytics without a large enterprise rollout. DataDab
• Otterly.AI — essentially an AI-search rank tracker: monitor prompts, mentions, citations, sentiment, and competitors across major answer engines. More lightweight than Profound. DataDab
• Ahrefs Brand Radar — interesting if your team already uses Ahrefs; it extends traditional SEO intelligence into AI-answer visibility and competitor monitoring. Ayzeo

If you're evaluating this as an enterprise buyer

I'd look specifically for these capabilities rather than just "AI visibility":

Profound is the one I'd investigate first if you're talking about a Fortune-500-style enterprise program. Current comparisons consistently put it at the enterprise/deep-analytics end of the market, while Peec and Otterly are more attractive for smaller or self-serve teams. reachroller.com maxaeo.ai

If you're asking because you're looking to build/buy something like this, I can also map out the current competitive landscape, what each platform actually measures, pricing, and the gaps/opportunities in the market.

Yes. This is now a fairly established AI search / AI visibility / GEO (generative engine optimization) software category.

Strongest enterprise options

• tryprofound.com — probably the closest match to what you're describing. It tracks brand visibility in AI answers and benchmarks you against competitors across ChatGPT, Gemini, Perplexity, Google AI Overviews, Copilot, Grok, DeepSeek, etc. It can measure visibility rank, citation share, share of voice, sentiment, and competitor movement, down to individual prompts. Profound
• Scrunch AI — another enterprise-oriented option, now part of Sitecore. Its emphasis is somewhat broader, combining AI visibility monitoring with an "Agent Experience Platform" for making content more accessible/optimized for AI agents. AirOps Nick Lafferty
• peec.ai — more analytics/monitoring oriented and generally positioned toward agencies and mid-market teams, including multi-brand competitor benchmarking. Bloomiro
• otterly.ai — a lower-cost way to monitor AI mentions, rankings and competitors; probably less suited if you need a sophisticated enterprise intelligence layer. Schmitdy
• hubspot.com — interesting if you're already in HubSpot. It's currently a free beta that tracks AI-answer trends, citations and AI-referred traffic, though it's not as deep a competitive intelligence product as Profound. HubSpot

What the enterprise products actually measure

The useful distinction is that they aren't simply asking "does ChatGPT mention my company?" They can build a competitive dataset around questions such as:

"What are the best enterprise CRM platforms?"

and then track:

They can then show which prompts competitors are winning, which pages AI is citing, and where you're absent. Profound explicitly supports this prompt-level competitive analysis and head-to-head comparison. Profound

If you're evaluating this as an enterprise buyer

I'd put Profound at the top of the shortlist if your primary requirement is:

"Give my marketing/SEO/brand team a defensible, longitudinal benchmark of how our company compares with competitors inside AI-generated answers."

The more interesting question, though, is whether you need monitoring only or an actual AI visibility intelligence platform. The latter would ideally connect:

AI answers → competitor benchmarking → citations/sources → content gaps → traffic → pipeline/revenue

Most tools are still strongest on the first three or four pieces rather than the entire chain. AirOps

If you're considering building or buying one, I can also map out the current market and show Profound vs. Scrunch vs. Peec vs. Otterly vs. Semrush/Ahrefs, including enterprise pricing, APIs, data granularity, model coverage, and what each one is actually good at.

What you’re looking for is generally called an AI visibility / GEO (Generative Engine Optimization) platform. These tools repeatedly run buyer-relevant prompts across multiple AI assistants and quantify things like:

• Mention/visibility rate — how often your brand appears
• Position/rank — where you appear in recommendations
• Share of voice — your visibility vs. competitors
• Citation rate — how often your site/content is cited
• Sentiment/attributes — how the assistants describe your brand
• Engine-by-engine performance — ChatGPT vs. Gemini vs. Claude vs. Perplexity, etc.

The ones I'd look at

• ahrefs.com — probably the most natural choice if you already use Ahrefs. It tracks ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews, with mentions, topics, citations, competitors and custom prompts. Ahrefs
• tryprofound.com — an enterprise-oriented AI visibility platform with broad engine coverage; one 2026 comparison places it among the stronger options for multi-engine measurement. OTW Signal The Answer Engine Report
• zumihq.com — particularly interesting if you want broad coverage: it says it monitors up to nine AI engines, including ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, AI Overviews, AI Mode and DeepSeek. Zumi
• getmint.ai — emphasizes visibility, citations, sentiment and share of voice, with repeated prompts across the major answer engines. GetMint
• discoveredby.ai — useful if you want to connect AI visibility to business outcomes; it reports visibility, citation rate, position and share of voice by engine. DiscoveredBy

If the core question is “What percentage of relevant AI answers mention us, versus our competitors, across ChatGPT/Gemini/Claude/Perplexity?”, I'd shortlist Ahrefs, Profound, and Zumi first.

One important caveat: these aren't measuring a universal "AI visibility" number. They are sampling a defined set of prompts and engines, so prompt selection and sampling methodology matter enormously. A good platform should let you use the actual questions your customers ask and show the underlying answers, not just give you a proprietary 0–100 score. Ahrefs Zumi

If you tell me your company/category and whether you're B2B or B2C, I can narrow this down to the best 2–3 tools and compare pricing, assistant coverage, methodology, and reporting.

Yes. If you mean historical AI/LLM answers—e.g., thousands of ChatGPT, Gemini, Perplexity, Claude, or Google AI answers—and you want to see how your brand's share of voice has changed versus competitors over time, there are several purpose-built platforms.

Best options

Profound is probably the strongest fit if you have a substantial historical answer dataset. Its Answer Engine Insights dataset tracks prompts daily and lets you chart SOV, rankings, visibility, citations, and positioning against competitors. You can slice the data by topic, prompt, platform, and region. help.tryprofound.com

Profound

Scrunch is particularly good for the specific question "who is gaining/losing ground?" It tracks actual AI responses and lets you trend competitive presence over time, drill from aggregate SOV → topic → individual prompt → actual answer, and filter by AI platform, persona, funnel stage, etc. It also supports historical backfill for suggested competitors. scrunch.com

Scrunch

Peec AI has a more straightforward SOV model: percentage of AI responses mentioning you versus competitors, with daily trends, average position, sentiment, and engine-level breakdowns. peec.ai

Peec AI

One important distinction

If you already own the historical AI answers (CSV/database/API data) rather than needing a platform to collect them, I'd approach this differently. You don't necessarily need an AI-search monitoring product.

You can calculate something like:

SOV for competitor X at time T = mentions of X ÷ total competitor/brand mentions in the same answer set

Then trend:

• SOV by week/month
• SOV change vs. prior period
• SOV by AI engine
• SOV by topic/category
• SOV by prompt
• average position in the answer
• co-mention rate (which competitors appear alongside you)
• citation share
• gains/losses following model updates

For example, Profound explicitly defines SOV as the brand's share of total brand mentions in the tracked AI responses, while Scrunch calculates competitive presence from actual responses. scrunch.comhelp.tryprofound.com

My shortlist: If you're evaluating software for an enterprise analytics use case, I'd demo Profound and Scrunch first, then Peec as the simpler alternative.

If you tell me what your historical data looks like (CSV, API responses, database, etc.) and roughly how many answers you have, I can recommend whether you need one of these platforms or whether it's better to build the SOV analysis yourself.

Yes — what you’re looking for is generally called AI search visibility / GEO (Generative Engine Optimization) / AEO citation tracking.

For an ecommerce blog, I’d shortlist these:

• otterly.ai — probably the best starting point for a smaller/mid-sized ecommerce team. You give it buyer-oriented prompts such as “best running shoes for flat feet,” and it monitors AI answers across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude and Copilot. Crucially, it records domain citations and the actual cited URLs, not just whether your brand was mentioned. OtterlyAI OtterlyAI
• tryprofound.com — stronger if you want serious competitive/content intelligence. Its citation reporting includes top cited domains, top cited pages, citation relationships, and which answer engines cite them. Profound Profound Knowledge Base
• Peec AI — another option worth evaluating, particularly for marketing/agency-style reporting and multi-engine monitoring. It belongs to the same emerging AI-visibility category as Otterly and Profound. Arbling

What I'd use for your ecommerce blog

If your specific question is:

“When someone asks ChatGPT/Perplexity/etc. about products or topics in my niche, which websites and domains are they citing—and how often?”

I'd start with OtterlyAI.

For example, you could track 100 prompts like:

• “best hiking boots under $200”
• “best waterproof hiking boots”
• “Hoka vs Brooks for walking”
• “what are the best shoes for standing all day?”
• “best running shoes for beginners”

Then you can see things like:

That is much more actionable than traditional SEO rank tracking because you can discover which third-party publications are functioning as the information sources AI engines trust in your category.

There's also an interesting ecommerce-specific feature: Otterly now tracks ChatGPT Shopping Cards, so you can monitor which products/brands get surfaced for your commercial prompts in addition to ordinary web citations. OtterlyAI OtterlyAI

One important distinction: don't confuse this with bot/crawler analytics. Tools that analyze your server logs can tell you that an AI crawler visited your site, but that doesn't necessarily tell you what sources the AI ultimately cited in its answer. Citation monitoring works by actually querying the AI search interfaces and analyzing their responses. OtterlyAI OtterlyAI

If you tell me roughly how many blog articles/prompts you want to track and your monthly budget (e.g. <$50, $100, $500+), I can narrow this down to the 2–3 tools I'd actually pay for.

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

Best fit: OtterlyAI

otterly.ai is probably the closest match to your specific use case.

It can:

• Track the prompts/questions you care about across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, and Copilot. Otterly Otterly AI
• Show which URLs and domains each AI answer cited, not just whether your brand was mentioned. Otterly Otterly AI
• Tell you which competitors and third-party sites are being cited instead of you. Otterly AI
• Track citation/visibility changes over time, which is useful for measuring whether your blog content is gaining AI visibility. Otterly
• Export citation data and access it programmatically through an API. Otterly

For an ecommerce blog, I'd set up prompts such as:

"What are the best [product category] for [use case]?"
"How do I choose a [product]?"
"Best [product category] brands for [customer type]"

Then look at a report like:

That gives you a competitive citation map: which websites are the AI systems trusting for your topics, and which of your pages need to become those sources.

Another option: Citations.io

citations.io is more narrowly focused on citation/AI visibility tracking. It tracks citations across ChatGPT, Gemini, Perplexity and Claude and explicitly shows who is being cited instead of you. Citations.io

One important distinction

There are actually two different things you may want to track:

1. "What websites is the chatbot citing?" → use an AI visibility/citation tracker such as OtterlyAI.
2. "Are AI crawlers actually visiting my blog?" → you want bot/server-log analytics. OtterlyAI now has Agent Analytics, which can identify AI crawlers and which pages they access. Otterly AI Otterly AI

The first is much more useful for your question because a crawler visiting your article doesn't necessarily mean the article gets cited in an answer.

If your goal is specifically "I want to see every domain ChatGPT/Perplexity/Gemini cite for my ecommerce topics, then find content opportunities to get my own blog cited instead", I'd start with OtterlyAI. Otterly

That gives you a competitive citation map: which websites are the AI systems trusting for your topics, and which of your pages need to become those sources.

Another option: Citations.io

citations.io is more narrowly focused on citation/AI visibility tracking. It tracks citations across ChatGPT, Gemini, Perplexity and Claude and explicitly shows who is being cited instead of you. citations.io

One important distinction

There are actually two different things you may want to track:

Yes. What you want is usually called AI visibility / GEO monitoring: software that repeatedly runs the kinds of questions your customers ask and records whether ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews/AI Mode, etc. mention or cite your website.

For a local business, I’d shortlist these:

My pick for a local business

I'd start with Otterly.AI or RankPrompt, rather than jumping straight to an enterprise platform like Profound.

The important distinction is that you don't merely want a tool that says:

"Your brand was mentioned 37 times."

You want something that can answer:

• Which customer questions produced the citation?
• Which AI platforms cited us?
• Which exact URL on our site was cited?
• Which competitors were recommended instead?
• What percentage of relevant answers mention us?
• Does our visibility change by city/ZIP/location?
• What third-party websites are AI systems using to decide whether to recommend us?
• Can I see the actual AI answer rather than just a score?

That's especially important for local SEO because a prompt like "best plumbers in Chelsea MA" is much more useful to you than a generic prompt like "best plumbers."

Current tools vary substantially in this area. For example, some track multiple AI engines and citations, while others emphasize share of voice or broader GEO analytics. Local Dominator KITLabs

One important caveat

Don't treat an AI visibility score as equivalent to a Google ranking.

AI answers aren't deterministic—the same prompt can produce different recommendations on different runs. Good trackers therefore sample prompts repeatedly rather than pretending there is a single permanent "AI ranking." MentionScout

And the landscape is genuinely changing: recent data has shown substantial shifts in which third-party sites AI systems cite, even over short periods. Axios

What I'd set up for your business

I'd build a monitoring set of roughly 30–100 prompts, split into:

1. "Best [service] near me"
2. "Best [service] in [city]"
3. "[service] near [neighborhood]"
4. "[service] for [specific problem]"
5. "[competitor] vs [your business]"
6. "Who should I hire for [problem]?"
7. "Affordable/reliable/top-rated [service] in [area]"
8. Questions where your website has particularly useful content

Then track them weekly across the major AI surfaces.

That gives you a much more meaningful metric: "Of the questions that could actually send us a customer, how often does AI recommend or cite us?"

If you tell me what type of local business you have and what city/area you serve, I can narrow this down to the 3 best tools for your situation, including current pricing, platform coverage, local/ZIP-level capabilities, and which one I'd actually buy.

What I'd set up for your business

One important caveat

Don't treat an AI visibility score as equivalent to a Google ranking.

Yes. For your exact use case, I’d shortlist Indexly first, especially if you’re managing multiple client sites.

indexly.ai

Why Indexly fits

It specifically tracks page-level citations, rather than just whether a brand was mentioned:

• Which URLs on a client’s site are being cited by AI.
• Citation counts per URL, so you can see which pages are doing the work.
• Breakdowns by ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Overviews.
• Daily tracking and historical data, allowing you to measure citation frequency and changes over time.
• Citation share and competitor-source analysis.
• An API, which could be useful if you want to roll this into your own agency dashboard or reporting workflow. Indexly

For example, you could get something conceptually like:

That is much closer to the question “Which pages are AI assistants actually using?” than a generic AI visibility score.

Two alternatives worth testing

Citations.io is another strong option if you want a broader agency-oriented AI visibility platform. Its “Citation Map” records every URL/domain cited and provides an answer archive, competitive share-of-voice, and tracking across ChatGPT, Perplexity, Gemini and Claude. Citations.io

citations.io

OtterlyAI is worth considering if you care more about prompt-level monitoring and reporting. Its prompt analysis exposes the URLs used as citations and tracks brand visibility over time; it currently covers ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. OtterlyAI OtterlyAI

help.otterly.ai

My pick

Indexly → best match for “which pages + how frequently.”
Citations.io → best if you want a fuller agency/client AI-visibility platform.
OtterlyAI → best if prompt tracking and broader AI-search coverage are more important.

One caveat: these tools generally measure citations generated in repeated/monitored AI queries, not a literal log of every time a real-world ChatGPT user happened to reference a page. So “40 citations” means 40 observed citations in the tool's monitoring methodology—not 40 total instances across all AI users.

If you tell me how many client sites you manage (e.g. 10, 50, 200) and whether you need white-label reporting, I can narrow this down to the best agency tool and compare pricing/features.

Yes. What you’re looking for is slightly more specific than an “AI visibility tracker”: you want query → AI answer → cited URL → your content/page attribution, ideally with the exact prompt that caused the citation.

Best options

• otterly.ai — best match for your use case. It runs your tracked prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, then records the URLs cited in the answers. Its citation details can drill down from a cited URL to the prompts where that URL was cited and the exact AI answer. Otterly Otterly AI

Path: query → AI response → cited URL → prompt(s) → exact answer

• tryprofound.com — best for enterprise-scale research. Good if you want lots of prompts, competitors, markets, and systematic monitoring rather than just investigating individual citations. Current comparisons put it toward the enterprise end of the market. Meridian15 DataDab
• peec.ai — good analytics-oriented alternative. Particularly useful if you want prompt tracking and competitive AI-search visibility reporting rather than a forensic citation trail.
• citability.dev — interesting if you care about evidence rather than just scores. Its stated differentiator is live-tested citation data with inspectable raw responses, rather than relying solely on an aggregate “AI visibility” score. Citability

My pick

For exactly what you described, I'd start with OtterlyAI. The important feature isn't merely “your brand was mentioned”; it's that you can investigate which page was cited, for which prompt, and then open the underlying answer. Otterly AI

One caveat: these systems generally re-run a controlled set of prompts rather than observing every query real users make in ChatGPT. Results can therefore differ from what an individual user sees because AI search experiences can personalize results based on factors such as location and history. Otterly

If your real goal is “I have 500 articles/pages—show me exactly which user queries cause each page to get cited by ChatGPT/Perplexity/Gemini”, I can narrow this down to the 2–3 tools that provide the deepest query → citation → URL → answer trail.

If your goal is “show me the exact user prompts/questions where ChatGPT, Gemini, Perplexity, etc. cite my how-to guides”, you’re looking for a GEO/AEO (Generative Engine Optimization / Answer Engine Optimization) citation tracking tool, not a traditional SEO rank tracker. These tools monitor AI answers, the prompts that triggered them, and the URLs used as citations. Shadow

My shortlist:

For how-to guides specifically, I’d prioritize features like:

1. Prompt-level tracking

• Example: “How do I configure OAuth for X?”
• Shows whether your guide appears and the exact answer where it was cited.
• Citation URL extraction

• Not just “your brand was mentioned.”
• You want: “AI cited /guides/oauth-setup for this query.”
• Prompt clustering

• Groups variants: - “How to reset a router”
• “Router reset instructions”
• “Factory reset WiFi router”
• Helps you find content gaps.
• Answer snapshots/history

• AI answers change frequently, so you want stored evidence of when your guide appeared.

A practical stack for a content team would be:

• Profound or Otterly.AI → discover the exact prompts producing citations. Geosoftwarerankings Geosoftwarerankings
• Google Search Console + analytics → measure downstream clicks/signups.
• Your own prompt library → maintain a fixed benchmark set of the 100–500 questions your audience asks.

One caveat: no tool can perfectly know every private ChatGPT conversation that cites your guides. They generally work by running controlled prompt tests, monitoring available AI surfaces, and analyzing citations those systems expose. geol.ai

If you have a documentation/help center site (hundreds or thousands of guides), I’d lean toward Profound for enterprise, or Otterly.AI + a custom prompt set for a leaner setup. Geosoftwarerankings Geosoftwarerankings

Yes. Cloudflare is probably the closest off-the-shelf fit for exactly this use case.

Best fit: Cloudflare AI Crawl Control

cloudflare.com can identify AI crawlers and show:

• Which AI crawler accessed the site — e.g. GPTBot, ClaudeBot, Bytespider.
• Which specific URL/path it requested.
• Request volume and data transferred.
• Which AI operator is behind the crawler.
• Filters by crawler, operator, hostname, and path. Cloudflare Docs

So you could monitor something like:

/products/rare-widget
/collections/luxury-*
/pages/brand-story

and determine when AI crawlers are hitting those high-value areas.

The interesting part is that Cloudflare now supports AI Crawl Control on all plans, although the depth of bot identification and historical analytics varies by plan. Cloudflare Docs Cloudflare Docs

If you specifically want an instant alert

There's a distinction worth making:

Cloudflare's native product is primarily an analytics/control system, not a "send me a Slack notification every time GPTBot hits /product/X" product.

However, Cloudflare gives you the underlying request data and APIs, so you can build that alerting layer. Its bot-alert system can also send notifications by email, webhook, or PagerDuty, although the documented custom bot alerts are an Enterprise feature. Cloudflare Docs

There's also an open-source Cloudflare Worker called AI Traffic Alerts for Cloudflare that specifically implements crawler/referral notifications and can send alerts to services such as Telegram, WhatsApp, Discord, Pushover, and ntfy. GitHub

Another option: Ahrefs Bot Analytics

help.ahrefs.com is worth looking at if you mainly want analytics rather than real-time alerts. It tracks AI assistants, individual bots, and the specific pages they crawl, with filtering by bot and URL. It's currently free during beta. Ahrefs Help Center

What I'd do for an ecommerce site

If your actual goal is:

"Tell me immediately when an AI company starts crawling one of my commercially valuable product pages."

I'd use Cloudflare + a lightweight alerting rule rather than installing an ecommerce analytics app.

For example:

GPTBot / ClaudeBot / PerplexityBot → /products/* → send Slack/email alert

You can make it even more useful by assigning tiers:

• Tier 1: individual high-margin product URLs → alert immediately
• Tier 2: product/category pages → aggregate alerts hourly
• Tier 3: blog/help pages → analytics only
• Known search crawlers: ignore
• Unknown/impersonating bots: flag separately

One caveat: AI crawler identification isn't perfect. Cloudflare's basic detection relies on crawler identity/user-agent information; its more advanced Bot Management detection adds behavioral/fingerprinting signals. Cloudflare Docs

If you tell me what your ecommerce stack is (Shopify, WooCommerce, BigCommerce, custom, etc.), I can tell you the simplest way to get a real-time alert for specific URLs, including what I'd use and roughly what it would cost.

There's a distinction worth making:

Cloudflare's native product is primarily an analytics/control system, not a "send me a Slack notification every time GPTBot hits /product/X" product.

However, Cloudflare gives you the underlying request data and APIs, so you can build that alerting layer. Its bot-alert system can also send notifications by email, webhook, or PagerDuty, although the documented custom bot alerts are an Enterprise feature. Cloudflare Docs

There's also an open-source Cloudflare Worker called AI Traffic Alerts for Cloudflare that specifically implements crawler/referral notifications and can send alerts to services such as Telegram, WhatsApp, Discord, Pushover, and ntfy. GitHub

Another option: Ahrefs Bot Analytics

help.ahrefs.com is worth looking at if you mainly want analytics rather than real-time alerts. It tracks AI assistants, individual bots, and the specific pages they crawl, with filtering by bot and URL. It's currently free during beta. help.ahrefs.com

What I'd do for an ecommerce site

If your actual goal is:

"Tell me immediately when an AI company starts crawling one of my commercially valuable product pages."

I'd use Cloudflare + a lightweight alerting rule rather than installing an ecommerce analytics app.

For example:

GPTBot / ClaudeBot / PerplexityBot → /products/* → send Slack/email alert

You can make it even more useful by assigning tiers:

Yes—but there's an important distinction.

Most AI crawler analytics tools show which pages AI bots visit, but very few reconstruct complete crawl sessions with entry and exit paths. AI crawlers don't behave like human visitors, so "sessions" are harder to infer. Most products stop at page-level analytics. A handful are starting to visualize crawl sequences. Cloudflare Docs Ahrefs Help Center

If your goal is "show me the paths GPTBot, ClaudeBot, PerplexityBot, etc. take through my site", here's how the landscape looks:

What you're asking for is more like a Sankey graph

Ideally you'd see something like:

GPTBot

robots.txt
      │
      ▼
sitemap.xml
      │
      ▼
/blog/
      │
 ┌────┴─────┐
 ▼          ▼
/pricing   /docs
 │            │
 ▼            ▼
/api      /about
 │
 ▼
EXIT

or

ClaudeBot

Homepage
   │
   ▼
Features
   │
   ▼
Pricing
   │
   ▼
Case Study
   │
   ▼
Exit

That's still uncommon in commercial dashboards.

If you really want entry → path → exit

The best approach is often to analyze server logs instead of relying on analytics.

You can reconstruct sessions by:

• grouping requests by crawler IP + User-Agent
• ordering requests by timestamp
• breaking sessions after ~5–10 minutes of inactivity
• generating: - entry pages
• transition matrix
• exit pages
• Sankey diagrams
• crawl depth
• loops
• abandoned branches

This produces exactly the visualization you're describing.

I'd build it differently

If I were building this today, I'd create a dashboard showing:

• Entry pages by AI crawler
• Top crawl flows (Sankey diagram)
• Exit pages
• Average crawl depth
• Pages that every crawler reaches
• Pages only one crawler reaches
• Dead-end pages where crawlers stop
• Comparison between GPTBot, ClaudeBot, Google-Extended, PerplexityBot, etc.

That kind of report is much more actionable than simple "top pages crawled."

If your site runs behind Cloudflare, NGINX, Apache, or another server where you have access to logs, this is very feasible to build. The raw data already contains almost everything needed—you mainly need the session reconstruction and visualization layer.

If you mean “which tool can correlate an AI crawler’s timestamped visit to my page with a later AI-generated answer that cites that same page?”, the closest match I found is Profound, with Unsourced also specifically targeting that linkage.

• Profound — strongest fit for an enterprise attribution workflow. Its Agent Analytics tracks AI crawler visits at the CDN level (including crawler, page, frequency, and timing), while its AI visibility product tracks citations. The stated workflow is essentially crawler visit → citation in an AI answer → downstream referral/conversion. www.tryprofound.comotterly.ai
• Unsourced — unusually explicit about your exact use case. Its “Origin Signal” says it determines whether a citation came from a live crawl, and maintains timestamped crawl/citation evidence and raw bot-event logs. unsourced.appwww.tryprofound.com
• WebDecoy — records crawler identity, URL, and timestamp and combines crawler monitoring with citation monitoring, so it can provide the underlying telemetry for this correlation. webdecoy.com
• Botify — excellent for the citation side: it reports cited URLs, prompts/answers, citation rates, and citations by individual AI bot, but its documented feature set is less explicit about proving a particular crawl event caused a particular citation. unsourced.appsupport.botify.comwww.tryprofound.com
• OtterlyAI — strong for monitoring which URLs get cited across AI engines, but it doesn't appear to provide the crawler-visit → citation causal linkage you're describing. www.tryprofound.comotterly.ai

The important distinction

There are really three telemetry layers:

AI crawler visit (timestamp + URL + bot)
→ AI retrieval/search event
→ AI answer containing citation (timestamp + URL + prompt)

Most AI-visibility platforms measure the third layer. Server/CDN analytics measure the first. Very few products attempt to join the two and say “GPTBot visited /article-x at 14:03, and 17 minutes later that URL appeared as a citation in ChatGPT.”

If that's the specific attribution dataset you're trying to build, I'd look at Profound first and Unsourced second. The latter is particularly interesting if your requirement is audit-grade, timestamped evidence rather than just an AI visibility dashboard. unsourced.appwww.tryprofound.com

If you tell me whether you're looking for a SaaS product you can buy or an API/data pipeline you can build yourself, I can narrow this down considerably.

Yes. This is a rapidly emerging category often called LLM optimization (LLMO), Generative Engine Optimization (GEO), or AI visibility. The tools vary a lot in maturity, but several are specifically designed to measure and improve how often your content is cited or referenced by conversational AI systems.

Here's how the landscape breaks down:

What these tools actually do

Unlike traditional SEO tools that optimize for rankings, these platforms typically analyze things like:

• Whether ChatGPT, Claude, Gemini, Perplexity, or Copilot mention your brand
• Which pages are being cited
• Which competitors are cited instead
• What prompts trigger mentions
• Missing topical coverage
• Opportunities to make content more "citation-worthy"

Some can even simulate hundreds or thousands of prompts and measure how frequently your content appears.

What actually increases citations

The tools help identify gaps, but the biggest drivers of AI citations are generally:

• Comprehensive, fact-rich pages rather than thin marketing copy
• Original data, research, benchmarks, and statistics
• Clear structure with descriptive headings
• Explicit definitions and explanations
• Strong topical authority (multiple interconnected pages)
• Accurate metadata and schema markup
• Pages that other authoritative sites reference
• Frequently updated content

Conversational AIs increasingly favor content that is authoritative, well-organized, and easy to verify rather than simply optimized for keywords.

If you're on a budget

You don't necessarily need a dedicated GEO platform. A practical workflow is:

1. Use an SEO tool (Ahrefs or Semrush) to identify high-authority topics.
2. Test important prompts directly across ChatGPT, Perplexity, Gemini, and Claude.
3. Track whether your content is cited or paraphrased.
4. Improve pages by adding original insights, data, FAQs, and clearer structure.
5. Repeat the testing periodically.

Enterprise vs. SMB

• Enterprise: Profound AI and Scrunch AI currently have some of the most advanced monitoring capabilities for AI citations.
• Growing businesses: Goodie AI and Peec AI focus more directly on AI visibility without requiring a large SEO stack.
• Existing SEO users: Semrush and Ahrefs are steadily adding AI search visibility features, making them good choices if you're already using those platforms.

This space is evolving very quickly, so today's "AI SEO" tools are becoming more like analytics platforms that measure share of voice in conversational AI, rather than traditional search rankings.

Yes. What you’re looking for is generally called AI visibility monitoring, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization).

The key capability is competitor/citation-gap analysis: give the tool your brand and competitors, have it run the questions your buyers ask AI assistants, and identify cases where:

• Your competitor is recommended, but you aren't.
• Your competitor's content is cited, but yours isn't.
• The AI answer relies on particular third-party pages that you could potentially influence.
• There are questions/topics where you have no AI visibility at all.

Tools I'd look at

• ahrefs.com — probably the best starting point if you already use Ahrefs. Its Brand Radar tracks AI mentions, competitors, prompts, and cited domains/pages across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. Ahrefs
• citations.io — particularly focused on which sources AI is citing. It explicitly reports competitor share of voice and the prompts competitors are winning. Citations.io
• citationradar.ai — very close to your exact use case: it shows the questions competitors win, the pages driving their citations, and the content gaps you can target. Citation Radar
• bluejar.ai — emphasizes mapping competitor visibility to the sources that AI trusts, then turning those gaps into a fix plan. BlueJar
• yogoo.ai — useful if you want a quick/free diagnostic. It identifies competitors AI cites instead of you and the specific prompts where they win. Yogoo

If your exact question is "Where is AI answering my customers' questions using competitors' content instead of ours?" I'd start with Citation Radar or Ahrefs. The important distinction is that you don't merely want a "brand mention" tracker—you want prompt-level answers + competitor citations + source/page-level gaps.

If you tell me your company/category, I can also identify the 3–5 tools that are best suited to your specific situation and compare their pricing/features.

Yes. There’s now a pretty clear category for this: AEO/GEO (Answer Engine Optimization / Generative Engine Optimization) tools.

If what you mean is specifically “Given this URL, how likely is an AI answer engine to use/cite this page as a source?”, rather than merely “does AI mention my brand?”, a few tools are especially relevant:

• aeolens.ai — probably closest to what you're describing. It gives a 0–100 AEO score, audits individual pages for 48 signals, and also simulates buyer questions across ChatGPT, Gemini, Claude, Perplexity, and Grok to measure actual citation rate. AEOlens
• geotoolbox.ai — lets you grade any URL on “Citability” and “AI Readability,” using signals such as schema, crawler access, JavaScript rendering, freshness, and answer-first formatting. GEO Toolbox
• aeo-platform.com — has a page-level citation-readiness score covering structure, authority, freshness, entity clarity, and machine parsability, plus a page optimizer. AEO Platform
• pagefuze.com — offers an “AEO Page Scanner” that scores pages for content clarity, FAQ structure, schema, and semantic completeness, alongside actual AI citation tracking. PageFuze
• surfacerank.com — interesting if you want to combine a page's theoretical citability score with observed AI traffic/citations. It specifically distinguishes actual AI retrieval/citation behavior from simulated visibility. SurfaceRank

The important distinction

I'd actually separate the problem into two scores:

1. Citation Readiness — “Could an AI easily use this page?”

Things like:

• Is the answer explicit and extractable?
• Does the page have strong entity/topic clarity?
• Are claims supported by evidence?
• Is the information current?
• Is the content structured in answer-sized chunks?
• Can AI crawlers access/render it?
• Is there schema?
• Does the page demonstrate authority/trust?
• Does it contain original data, statistics, methodology, etc.?

2. Observed Citation Probability — “Does AI actually use this page?”

For example:

Run 100 relevant questions through ChatGPT/Perplexity/Gemini → 23 answers cite this URL → 23% observed citation rate

That second metric is much more meaningful than a generic “AEO score.” Tools such as AEOlens and Surface Rank are moving in this direction. SurfaceRank AEOlens

If you're thinking about building this

There is still an interesting gap here.

Most tools seem to focus on brand visibility/share of voice, e.g. “Are we mentioned by ChatGPT?” HubSpot's AEO product, for example, emphasizes visibility, share of voice, prompts, and citation analysis. HubSpot

A really useful product could instead make the URL/page the primary unit:

AI Citation Score: 78/100
Estimated citation likelihood: High

Why:
✓ Direct answer structure
✓ Strong entity clarity
✓ 14 supporting sources
✓ Fresh within 30 days
✓ Frequently cited competing pages have similar structure

Weaknesses:
✗ No original statistics
✗ Claims aren't attributed
✗ Competitor pages have 3× more independent references

Highest-impact change: Add original data + methodology section.

And, crucially, compare the page against the actual pages AI engines cite for the same questions.

That would be substantially more actionable than a generic GEO score.

If that's what you're considering, I can also map out what the scoring algorithm would need to measure and how I'd build a 0–100 “AI citation likelihood” score.

If your goal is an agency-grade monthly deliverable that clients can log into and visually understand, I’d narrow the field considerably.

My shortlist

Recent agency comparisons consistently put Peec, Otterly, Profound, and Rank Prompt near the top, but there's an important distinction: a branded PDF/report is not the same thing as a white-label client portal. SEOforGPT Semrush

1. Peec AI — my pick for most agencies

peec.ai

I'd start here if you're building a recurring "AI visibility / GEO" service for SMB and mid-market clients.

It's particularly suited to tracking things like:

• AI visibility/share of voice
• Brand mentions
• Competitor visibility
• Which prompts trigger your client's brand
• Which sources/citations AI engines use
• Changes over time

Recent comparisons specifically identify Peec as a strong agency/multi-client option, with pricing reported around the ~$95/month starting range depending on plan/usage. AEO Labs Caraxes

Why I like it: the data lends itself naturally to a monthly client narrative: visibility → competitors → citations → opportunities → recommendations.

2. Otterly.AI — best inexpensive option

otterly.ai

If you're trying to launch the service without adding a huge software expense, I'd seriously test Otterly.

It has particularly broad AI-search coverage and is reported to start around $29/month, with agency/white-label capabilities on higher tiers. Sightivo Demand Local, Inc.

I'd choose it over Peec if your priority is lots of clients + low tooling cost rather than the most sophisticated analytics.

3. Profound — best for enterprise

tryprofound.com

This is the one I'd investigate if your agency serves large brands, enterprise SEO teams, or clients that want serious AI-search intelligence rather than a pretty monthly report.

Profound emphasizes source-level citation intelligence, prompt libraries, governance/security, and larger-scale AI visibility programs. Recent comparisons put it firmly in the enterprise category. SEO Counselors AxiomAI

The downside is economics: it's difficult to justify for a small agency portfolio.

4. Rank Prompt — worth a serious look for white-label agencies

rankprompt.com

This is interesting if the reporting itself is something you want to productize and resell.

Recent agency-focused comparisons highlight its white-label reporting and client-portal functionality, including higher-tier agency plans designed around large numbers of brands. Rank Prompt SEOforGPT

So I'd put this ahead of Peec if your actual business model is:

"Every client gets an AI Visibility Dashboard branded as [My Agency]."

rather than simply:

"We use AI visibility data in our monthly SEO report."

What I'd actually build

I wouldn't make the client's monthly report a giant dump of AI metrics.

I'd structure the dashboard around 5 screens:

1. AI Visibility

• Overall visibility score
• Share of voice
• Change vs. previous month
• Visibility by AI engine
• Competitive Landscape

• Client vs. 5–10 competitors
• Who is gaining/losing visibility
• Competitive share of voice
• Prompts

• Top commercial prompts
• % of prompts where client appears
• Average position/ranking
• Biggest wins/losses
• Citations

• Domains AI engines cite most frequently
• Client's pages being cited
• Competitor sources being cited instead
• Citation opportunities
• Executive Summary

• What changed
• Why it changed
• What we're doing about it next month

That last screen is crucial. Clients generally don't care that "ChatGPT visibility increased 7.3%" unless you translate it into what that means for their business.

My recommendation by agency type

Small agency / launching an AI visibility retainer:
→ Otterly

Established SEO/content agency with 10–50 clients:
→ Peec AI

Agency wants a genuinely white-label client portal:
→ Rank Prompt

Enterprise SEO/GEO consultancy:
→ Profound

Already heavily invested in Semrush:
→ Semrush AI Visibility Toolkit

There is also a useful hybrid approach: use a dedicated visibility engine such as Peec/Otterly/Profound for the underlying data, then push the metrics into Looker Studio or your existing agency reporting platform. Some agency reporting workflows explicitly recommend this approach because it gives you much more control over the client-facing presentation. therankmasters.com

If you tell me roughly how many clients you want to report on (e.g. 10, 50, 200) and whether you need a true white-label portal vs. just automated monthly PDFs/dashboards, I can narrow this to the 2–3 best choices and compare their current pricing/features.

4. Rank Prompt — worth a serious look for white-label agencies

rankprompt.com

This is interesting if the reporting itself is something you want to productize and resell.

Recent agency-focused comparisons highlight its white-label reporting and client-portal functionality, including higher-tier agency plans designed around large numbers of brands.

So I'd put this ahead of Peec if your actual business model is:

"Every client gets an AI Visibility Dashboard branded as [My Agency]."

rather than simply:

"We use AI visibility data in our monthly SEO report."

What I'd actually build

I wouldn't make the client's monthly report a giant dump of AI metrics.

For a small B2B content team, I’d use ahrefs.com, specifically its Brand Radar + traditional SEO/content workflow.

Why:

• It can measure the thing you actually care about: whether AI systems mention your brand and cite your pages, rather than just giving you a generic “AI-optimized” content score. Brand Radar tracks mentions, citations, competitors, and cited pages across major AI platforms. Ahrefs Help Center Ahrefs Help Center
• It can tell you which topics/queries you’re missing. You can identify prompts where competitors are mentioned or cited but you aren't, then turn those gaps into content briefs. Ahrefs
• It combines AI visibility with SEO data. That's important because AI assistants still discover a lot of their source material through the web/search ecosystem. Ahrefs' research across 75,000 brands found that web mentions had a stronger relationship with AI visibility than sheer content volume or backlinks. Ahrefs
• I wouldn't buy a tool primarily for “GEO scoring.” The useful question isn't “does this paragraph score 87/100 for AI?” It's “when someone asks an AI assistant this question, does it cite our page—and if not, what pages does it cite?”

The workflow I'd give your team

Before writing: use Ahrefs to find the target topic/query, competing pages, and existing AI citations.

While writing: optimize for answerability: put the direct answer early, make claims specific and support them with evidence, use clear headings, definitions, tables where useful, original data/examples, and strong internal linking.

After publishing: monitor whether AI assistants cite the article. If competitors consistently get cited instead, study why—better evidence, clearer answers, stronger topical authority, more authoritative third-party mentions, etc.—and update the article.

One important 2026 caveat: don't make llms.txt your strategy. Ahrefs analyzed 137,000 sites and found that 97% of existing llms.txt files received zero requests in the study period; its conclusion is that it currently does little for AI-search visibility. Ahrefs Ahrefs

If you want one tool for the team, I'd pick Ahrefs. If you tell me your approximate monthly budget (e.g. <$100, $100–300, $300+), I can give you a 3-tool shortlist for a small B2B team, including which one is best specifically for optimizing individual articles before publication.

For an enterprise marketing team with strict compliance, I’d shortlist these:

1. Semrush Enterprise AI Visibility — probably the strongest fit if you already use an enterprise SEO/marketing stack. It tracks mentions, citations, sentiment, competitors, and prompts across 10 LLMs, with enterprise reporting and the ability to connect AI visibility to GA4/Adobe traffic data. enterprise.semrush.com

2. Citations.io Enterprise — more specialized around AI citations. It tracks ChatGPT, Perplexity, Gemini, and Claude and offers multi-brand workspaces, SSO, role-based access, audit logs, and SOC 2 controls. It also turns citation gaps into prioritized content/PR recommendations. enterprise.semrush.comcitations.io

3. HubSpot AEO — worth considering if you're already a HubSpot Enterprise customer. Its AEO tooling measures brand visibility, analyzes the sources AI engines cite, and compares your site's citation rate against competitors. HubSpot also documents AI security/data-sharing controls. knowledge.hubspot.com

One important distinction: if by “how our content is used” you literally mean whether AI agents retrieve, ground on, cite, display, or drive engagement with your individual content, rather than simply “does the AI mention our brand?”, OpenAttribution is particularly interesting. It is designed around event-level telemetry for AI content use, including retrieval, grounding, citation, presentation, and engagement. openattribution.org

My pick:

• Enterprise marketing + compliance + broad measurement: Semrush Enterprise
• Dedicated AI-citation intelligence + governance: Citations.io
• Actual content-use telemetry: OpenAttribution

If you tell me your stack (e.g. Adobe, HubSpot, Salesforce, Marketo) and compliance requirements (SOC 2, GDPR, HIPAA, FedRAMP, etc.), I can narrow this to the best 2–3 options.

Yes. If you’re a content agency managing many client accounts, I’d prioritize tools that combine multi-client workspaces + AI visibility tracking + actionable content optimization, rather than tools that only report whether a brand appears in ChatGPT.

My shortlist

• frase.io — probably the strongest fit if your core business is content production. It combines AI visibility monitoring with research, briefs, content optimization, and writing. It also keeps clients in separate workspaces and tracks citation share across ChatGPT, Perplexity, Claude, Gemini, and Google AI. Frase
• higoodie.com — particularly interesting if you want a workflow from AI visibility → prompt research → optimization recommendations → content creation → attribution. It has a unified multi-client dashboard and client-specific workflows. higoodie
• asklantern.com — strong if you want more automation. It offers per-client dashboards, citation-gap analysis, share-of-voice tracking, and an agent that researches gaps and produces AI-optimized content. Lantern
• searchable.com — good agency infrastructure, especially if white-labeling is important. It has multi-client dashboards, client audits, citation-gap analysis, and an agency partner program. Searchable
• zumihq.com — worth considering for an agency primarily interested in portfolio-level AI visibility monitoring and white-label reporting. It supports isolated client workspaces and tracks multiple AI engines. Zumi
• asvaai.com — another agency-oriented option with multi-client tracking, content/AEO recommendations, competitive benchmarking, and white-label reports. Asva AI

What I'd choose for a content agency

If your goal is specifically “help my writers create/optimize content that gets cited in AI answers”, I'd start with Frase and Goodie.

The important distinction is that you don't just want an AI visibility dashboard. You want the tool to close the loop:

Client → target AI prompts → competitors/citations → content gaps → optimization brief → revised content → published content → citation/visibility measurement

Frase is especially compelling because it explicitly scores content for both traditional SEO and AI search while you're writing, then connects that to ongoing citation monitoring. Frase

If you're managing 20–100+ clients, I'd also look closely at Lantern, Zumi, or Searchable because their agency architecture and client isolation/white-label capabilities are central to the product rather than an afterthought. Lantern Searchable Zumi

If you tell me roughly how many clients you manage (e.g. 10, 50, 200) and whether you want content generation, optimization recommendations, reporting, or all four, I can narrow this to the best 2–3 platforms and compare pricing/features.

For a news site, you’re looking for AI search visibility / GEO (Generative Engine Optimization) tools rather than traditional SEO tools. The useful ones don’t just suggest “write more articles”; they analyze which pages AI assistants cite, what formats are being extracted, and what content gaps exist. CiteFlow Toolradar

Some options:

For a news organization specifically, I’d prioritize tools that answer these questions:

1. Which article formats get cited?

• “Explainer + timeline”
• “FAQ pages”
• “Data-backed analysis”
• “Original reporting with named sources”
• “Definitions and backgrounders”
• “Comparison pieces”
• “Live trackers”
• Which queries are you missing?

Example:

• “What happened in the UK election?”
• “Why did interest rates change?”
• “Who is [person]?”

AI systems often prefer pages with clear factual blocks that can be extracted.

3. Which pages are already citation magnets?

A good workflow is:

• Find your top AI-cited stories
• Identify their structure
• Create editorial templates around those patterns

A practical stack for a mid-sized news site might be:

• AI citation monitoring: Profound or Peec AI
• SEO/content intelligence: Semrush or Ahrefs
• Editorial workflow: AirOps or your existing CMS tooling
• Custom dashboard: combine AI referral traffic (from analytics) + citation tracking

One caution: nobody can guarantee “get cited by ChatGPT” through a tool. AI citation behavior changes and depends on relevance, authority, freshness, accessibility, and the model’s retrieval process. The tools are mainly useful for finding patterns and improving the odds. axios.com arxiv.org

For a newsroom, the most valuable feature is probably not a writing assistant — it’s a “citation intelligence” dashboard showing which story structures and source types AI systems are rewarding.

Yes. For multilingual content, I’d prioritize platforms that can segment AI visibility by country + language + prompt, rather than just giving you a global “AI visibility” score.

My shortlist

Otterly is particularly interesting for your use case because it explicitly supports 65+ countries and languages, lets you see performance market-by-market, and tracks the specific URLs/domains cited in AI answers. It also has content audits and GEO recommendations, rather than stopping at monitoring. otterly.ai

OtterlyAI

What I'd measure for each language

Don't just track whether the brand is mentioned. Set up a matrix like:

Language × country × AI engine × intent × prompt

For example:

• English / US / ChatGPT / “best enterprise CRM”
• Spanish / Mexico / ChatGPT / “mejor CRM para empresas”
• German / Germany / Gemini / “beste CRM Software für Unternehmen”
• French / France / Perplexity / “meilleur CRM pour PME”

Then track:

1. Citation rate — % of answers citing your domain
2. Mention rate — % mentioning your brand without citation
3. Citation position — how prominently you're cited
4. Share of voice vs. competitors
5. Which URLs get cited
6. Which third-party sources AI trusts instead
7. Accuracy/sentiment of the AI description
8. Change after publishing/optimizing content

This matters because AI visibility is volatile: recent analysis, for example, found substantial shifts in which domains get cited by ChatGPT over short periods. www.axios.com

My recommendation

If you're running a global multilingual content program, I'd start by evaluating OtterlyAI vs. Profound. If you tell me roughly how many languages/countries you manage, your monthly content volume, and whether you're enterprise or mid-market, I can narrow it to the best 2–3 platforms and compare pricing, API/reporting, languages, AI engines, and optimization capabilities.

The category you’re looking for is usually called AI visibility tracking, Answer Engine Optimization (AEO) tracking, or Generative Engine Optimization (GEO) analytics. These tools monitor how your website/brand appears in AI-generated answers across assistants and answer engines from a single dashboard. ranklogs.comwww.answerradar.com

Some tools that do this:

Typical dashboard metrics include:

• AI share of voice — how often your brand appears versus competitors
• Citation tracking — which pages/sites AI assistants use as sources
• Prompt tracking — whether you appear for customer questions
• Assistant-by-assistant breakdown — ChatGPT vs Gemini vs Perplexity vs Claude
• Competitor monitoring
• Historical trends — whether visibility is improving or declining ahrefs.com

If you’re choosing one:

• SEO teams already using traditional tools: Ahrefs is a natural fit. ahrefs.com
• Enterprise marketing teams: Profound/Peec-style platforms are usually aimed at larger programs.
• Smaller teams wanting a focused AI search dashboard: Ranklogs, AnswerRadar, or Allmond are worth evaluating. ranklogs.com

The main thing to check is whether the tool tracks actual AI responses and citations, not just keyword rankings, because AI assistants do not work like traditional search engines. ahrefs.com

Yes. The category you want is usually called AI search visibility, GEO (Generative Engine Optimization) monitoring, or AI answer tracking.

The important distinction is that these tools don't really track a conventional “keyword ranking” like Google. They repeatedly run buyer-style prompts across AI systems and measure whether your brand is mentioned/recommended, where it appears, which competitors appear instead, and which sources get cited. TrustData Semrush

Strong options

• tryprofound.com — probably the first one I'd investigate for a serious enterprise marketing team. It focuses specifically on AI visibility/GEO and is among the more established platforms in this category.
• semrush.com — good if you already use Semrush and want AI visibility alongside conventional SEO. Its AI visibility tooling tracks mentions, competitors and citations across AI search experiences. Semrush
• otterly.ai — a more focused AI-search tracker, particularly attractive if you don't need a giant SEO suite. It is designed around tracking prompts and brand visibility across multiple AI engines. TrustData
• zumihq.com — interesting if breadth of AI systems matters. It currently advertises monitoring across up to nine engines, including ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, Google AI Overviews/AI Mode and DeepSeek. Zumi
• getmint.ai — particularly relevant to your wording: it lets you define prompts/topics and repeatedly run them across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews, then compare your brand against competitors. GetMint
• citations.io — focused on exactly this use case: tracked prompts, citation share, competitors being cited instead of you, and monitoring ChatGPT/Gemini/Perplexity/Claude. Citations.io
• nightwatch.io — worth considering if you want conventional Google rank tracking and AI visibility in the same system. It explicitly connects SERP rankings with AI citations. Nightwatch

What I'd look for in your case

If the question is “What queries does our brand win or lose across conversational AI?”, I'd prioritize these capabilities:

One caveat: don't buy a platform just because it gives you an “AI visibility score.” The useful underlying data is the prompt-by-prompt answer, competitors, citations and changes over time. AI visibility is inherently volatile; for example, recent analysis has shown substantial shifts in which sources ChatGPT cites. Axios

If you tell me your industry, approximate company size, and whether you're primarily B2B, B2C, ecommerce, or local, I can narrow this to the 3 best platforms and compare their pricing, AI coverage, query discovery, reporting, API access, and enterprise capabilities.

If you mean “tell me whenever our website/content gets cited as a source in AI-generated answers”, the category you want is an AI search / answer-engine visibility tracker.

Best fits

• otterly.ai — probably the closest match to what you're describing. It tracks website/domain citations and brand mentions across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude. It can show which specific URLs are cited and how citation frequency changes over time. Otterly Otterly
• tryprofound.com — stronger enterprise/AEO option. It tracks citations across ChatGPT, Perplexity, Google AI experiences and other answer engines, with analysis by platform, prompt, topic, and competitor. Profound Profound
• citations.io — more focused specifically on AI citations. It provides a citation feed and tracks ChatGPT, Gemini, Perplexity, and Claude. Citations

What I'd choose

If your requirement is specifically:

“Alert me when one of our articles/pages gets cited by ChatGPT, Perplexity, Gemini, Claude, etc.”

I'd start with OtterlyAI. Its monitoring is explicitly built around domain/URL citations, rather than merely monitoring whether your brand was mentioned. It runs tracked prompts daily and reports domain citations at the prompt and engine level. Otterly

One important distinction: these tools generally don't monitor every possible AI conversation on the internet. They run a defined set of representative prompts against the answer engines and record the resulting answers/citations. So the quality of your prompt set is crucial.

If you tell me what kind of content/company you have, I can also compare OtterlyAI vs Profound vs Ahrefs vs other options specifically for citation alerts, including pricing and which AI assistants they actually monitor.

If by “multi-assistant answer positions” you mean where your brand/content appears inside answers from ChatGPT, Gemini, Perplexity, Claude, etc., plus how that position changes historically, you’re looking for an AI search visibility / GEO tracking platform rather than a traditional SEO rank tracker.

My shortlist

• otterly.ai — best fit for a content marketing team. It tracks brand mentions and citations across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, and Copilot, with prompt research, analytics, content auditing, and optimization features. It also explicitly supports historical visibility trends and competitor comparisons. Otterly
• demandsphere.com — strongest if “position” is the key requirement. It tracks 10+ LLM surfaces, historical trends, and specifically reports position within the AI response (e.g. 1st, 2nd, 3rd mention), alongside share of voice and competitor data. DemandSphere
• answerradar.com — good for prompt-level monitoring. It lets you control prompts, engines, frequency and tags, and tracks ranking positions and brand mentions historically. AnswerRadar
• tryprofound.com — worth evaluating for a larger/enterprise content operation. It's one of the commonly compared dedicated AI-visibility platforms, alongside Otterly and Peec. Conbersa
• amicited.com — interesting if you want the actual answers archived. It stores responses so you can compare how an answer changed over time, including when your brand went from uncited to cited/positioned prominently. Am I Cited

What I'd choose

For a content marketing team, I'd start with OtterlyAI if you want a relatively accessible all-around workflow: discover prompts → monitor assistants → identify citations/content gaps → optimize content → track the trend.

If your KPI is specifically “our content was cited #2 in ChatGPT this month vs. #6 three months ago”, I'd put DemandSphere and AnswerRadar higher on the evaluation list because they emphasize response position rather than just visibility/mention rate.

One important distinction when comparing vendors: make sure they retain the actual historical answer/citation, not merely a historical visibility score. AI answers change, so being able to inspect what the assistant actually said and which URL it cited is much more useful to a content team. AmICited, for example, explicitly offers an answer archive and diffing over time. Am I Cited

If you tell me your approximate budget and whether you need ChatGPT + Gemini + Claude + Perplexity specifically, I can narrow this to the best 2–3 platforms and compare their pricing, assistant coverage, historical depth, and reporting.

Yes. If by “multi-assistant answer placements” you mean tracking where your company/product appears inside answers from ChatGPT, Claude, Gemini, Perplexity, Copilot, etc. (similar to SEO rank tracking but for AI answers), there are several platforms that provide dashboards and, in some cases, APIs for engineering integrations.

Some options:

For an engineering team, I would evaluate them based on whether you need:

1. Simple reporting

• “Where do we appear when users ask X?”
• “Are we #1, #3, or missing?”
• “Which competitors replace us?”

→ SaaS dashboards like Visiblee, Zerply, or SE Ranking may fit. www.visiblee.ai

2. Internal analytics pipelines
You’ll likely want:

• REST API
• webhook/event support
• raw answer snapshots
• prompt history
• model/version metadata
• citation extraction
• competitor comparisons

→ Look closely at API-first offerings such as Visiblee, SE Ranking, Meltwater, or Zerply. www.visiblee.ai

3. Building your own system
A common architecture is:

Prompt library
      |
      v
Assistant runners
(ChatGPT / Claude / Gemini / Perplexity)
      |
      v
Answer parser
      |
      +--> brand mention
      +--> ranking position
      +--> citations
      +--> sentiment
      +--> competitors
      |
      v
Warehouse + dashboards + alerts

If you are building this internally, an important question is whether you need to track true user-facing answers (browser simulation) versus API-generated answers. Some platforms emphasize simulated user sessions because API responses can differ from what end users see. www.useomnia.com

If you share your use case (SEO/GEO agency, enterprise brand monitoring, marketplace placement tracking, or an internal product analytics system), I can narrow this to the best-fit platforms and API capabilities.

Yes. There are now several free/no-signup AI visibility checkers that are useful for a small ecommerce store.

Best options

• Ecomrank AI Visibility Checker — probably the closest match to what you're asking. You enter your store URL + what you sell, and it tests buyer questions across ChatGPT, Perplexity, and Google AI Overviews. It reports whether you're cited, mentioned, or absent, plus which competitors are being recommended instead. Ecomrank

ecomrank.io

• AI Peekaboo Product Visibility Checker — particularly useful if you care about individual product pages, rather than just your overall brand. Paste a product URL and it checks things like price visibility, product schema, benefits, "best for" positioning, policies, and comparison information. Peekaboo

aipeekaboo.com

• Ahrefs Free AI Visibility Checker — good for a broader brand-level picture. It checks ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode, and shows mentions plus pages/domains being cited. No signup is required for the free check. Ahrefs

ahrefs.com

One important distinction

There are really two different things you want to measure:

1. "Can AI understand/read my product page?"

→ Product-page audits like AI Peekaboo are useful.

2. "When someone asks AI 'What's the best X?', does it actually recommend/cite my product?"

→ Ecomrank, Ahrefs, etc. are more useful.

For a small ecommerce business, I'd start with Ecomrank and AI Peekaboo. The combination tells you both whether you're showing up and whether your product pages give AI enough information to recommend you.

If you give me your store URL and what you sell, I can also help you come up with the 5–10 buyer questions I'd test to get a much more meaningful picture of your AI visibility.

For a non-technical founder who wants free + no API keys + no setup, I’d start with a simple AI visibility grader, not a full SEO platform.

My picks:

🥇 Best overall: hubspot.com

Best for: “Does ChatGPT/Gemini/Perplexity know my company exists?”

• ✅ No API keys
• ✅ No technical setup
• ✅ Fast, founder-friendly report
• ✅ Gives you a simple score and explanations
• ❌ Not ongoing tracking

This is probably the one I’d give to a first-time founder. Cituna Visibility Audit

🥈 Best if you want competitor comparison: semrush.com

Best for: “Why is my competitor showing up in AI answers but I’m not?”

• ✅ No API setup
• ✅ Shows AI visibility signals and competitor context
• ✅ More marketing-oriented
• ❌ Eventually pushes you toward Semrush’s paid ecosystem

Cituna## 🥉 Best if you want broader AI engine coverage: ahrefs.com

Best for: founders already thinking about SEO/content.

• ✅ Simple input
• ✅ Covers multiple AI surfaces in its visibility checks
• ❌ The deeper features are part of Ahrefs’ paid tools

Cituna## My “15-minute founder test” (no tools required)

1. Open ChatGPT, Perplexity, and Gemini.
2. Ask: - “What are the best companies for [your category]?”
3. “Who are the alternatives to [your company]?”
4. “What should I use for [problem you solve]?”
5. Check: - Are you mentioned?
6. Are competitors mentioned?
7. Are the sources citing your website?

The tools above are useful, but AI visibility is still noisy — a score is a starting point, not a definitive ranking. Cituna

If you’re a bootstrapped founder with a small website, I’d use:

1. HubSpot grader → baseline
2. Manual ChatGPT/Perplexity tests → reality check
3. Fix website/content gaps → re-test monthly

No API keys, no engineering work.

Yes. If your goal is “paste client URL → get one simple grade → share it in an audit/proposal,” I’d shortlist these:

• Best overall: CitationDesk — gives a 0–100 AI Visibility Score, no signup, in about 90 seconds. It grades SEO foundation, GEO readiness, entity coherence, and AI-crawler health, and is explicitly designed around ChatGPT, Claude, Perplexity, and Gemini. CitationDesk citationdesk.com
• Best for a genuinely client-friendly shareable report: RankBits — produces a 0–100 score, mentions/citations, competitor landscape, and a public shareable report URL. RankBits rankbits.com
• Best if you want the score to reflect actual AI recommendations: EdenRank — runs a prompt across 8 AI/search engines and gives a 0–100 visibility score plus a shareable scorecard. EdenRank edenrank.com
• Best established SEO-brand option: Semrush AI Visibility Checker — free and gives an AI Visibility Score plus brand mentions, citations, topics, and pages generating citations. Semrush semrush.com

What I'd use as a freelance SEO consultant

CitationDesk for a quick prospect/client audit, and RankBits when you want something visually/shareably packaged.

One caveat: don't present an AI visibility grade as equivalent to a Google ranking. These tools measure different things—some measure technical readiness to be cited, while others measure whether AI engines actually mention/cite the brand. That's an important distinction when putting the number in a client report. CitationDesk RankBits

If you want, I can also give you the 3 best free tools specifically for generating a polished “AI SEO scorecard” you can put in client proposals, ranked by how professional the output looks.

If the goal is “show investors that AI/search visibility is a measurable competitive risk”, I’d use Ahrefs’ free AI Visibility Checker first.

ahrefs.com — it’s free, requires no signup, and checks your brand across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews, and AI Mode. It gives you mentions, platforms, topics, and the domains/pages AI is citing. Ahrefs

For an investor demo, I'd do this

1. Run your startup through Ahrefs.
2. Run 2–3 competitors through the same checker.
3. Use real buyer prompts such as: - “Best [category] startups for [use case]”
4. “[Category] companies investors should know about”
5. “Alternatives to [major incumbent]”
6. “Best tools for [specific customer problem]”
7. Screenshot the results showing you absent while competitors appear.
8. Frame the risk as: “AI is becoming a discovery layer, and today our brand isn't consistently represented in the answers our buyers may be using.”

That is much more compelling to an investor than a generic “GEO score.”

Two good alternatives

• Rank.ai — particularly good for a live demo because it runs the same prompt across ChatGPT, Claude, and Gemini and shows mentions/citations side-by-side. Rank.ai rank.ai
• EdenRank — useful if you want a broader screenshot: it says its free check covers 8 AI engines, including ChatGPT, Perplexity, Gemini, Claude, Copilot and Google AI surfaces. EdenRank edenrank.com

My pick: Ahrefs for credibility + Rank.ai for the punchy live demo.

One caveat for investors: don't present a single AI visibility score as an objective “market share” metric. AI answers can vary between runs. Present mention rate, competitor presence, citations, and repeated buyer-intent prompts as the evidence.

If you're looking for an agency-grade platform to monitor AI citations over time and turn that into client-ready executive reporting, I’d shortlist Profound and OtterlyAI, with Profound as my first choice for a larger agency.

My pick: Profound

tryprofound.com is particularly well suited to agencies because it combines:

• Citation tracking: See which sites AI engines cite, how often, and how your client's citation share compares with competitors. Profound
• Longitudinal tracking: Track visibility, share of voice, citation rank, and individual page citation volume over time. Profound Profound
• Multi-engine coverage: ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews/AI Mode, Copilot, Grok and others. Profound
• Client dashboards: Create separate dashboards for clients, with saved filters and layouts.
• Executive sharing: Public dashboard links and PDF exports mean a client doesn't need a Profound login. Profound
• Agency management: Profound specifically offers centralized client management and an agency-focused solution. Profound

That makes it a strong fit if your deliverable is something like:

“AI Visibility & Citation Report — August 2026”
Visibility ↑ 18% MoM
Citation share ↑ 11%
7 new high-authority sources citing the brand
Competitor X overtook us for 3 priority prompts
Executive takeaway: PR/content work increased citation presence, but we're losing ground on two commercial topics.

Strong alternative: OtterlyAI

otterly.ai is probably the better value-oriented option, particularly for agencies managing many smaller clients.

It explicitly tracks brand mentions, citations, sentiment, share of voice, competitor performance, and cited URLs daily, and offers branded PDF/CSV reporting, API access, Looker Studio integration, and separate workspaces for clients. Otterly Otterly

Its prompt-level reporting also lets you see how visibility changes day by day and inspect the actual citations behind responses. Otterly AI

Quick comparison

Bottom line: If the agency's differentiator is “we measure and improve your AI visibility”, I'd choose Profound. If you need to roll this out economically across a larger number of SMB clients and potentially pipe the data into your existing reporting stack, I'd look very closely at OtterlyAI.

One important distinction: these platforms are primarily measuring what AI systems cite in their answers, not necessarily proving that a citation caused a client conversion. I'd therefore pair the citation trend with AI-referred traffic, conversions, and the client's traditional SEO/PR metrics for the executive summary. The volatility is real—recent data, for example, shows meaningful changes in which domains ChatGPT cites over relatively short periods. axios.com

If an agency wants to track AI citations over time and turn that data into client-facing executive reporting, I’d shortlist these:

• otterly.ai — best overall agency-friendly option. It tracks brand mentions and URL-level citations over time across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot and Claude. It also supports separate workspaces for clients, branded reports/PDF exports, APIs, and Looker Studio. Otterly Otterly
• tryprofound.com — best for enterprise clients. Stronger choice when the agency needs deeper citation/source intelligence, larger prompt programs, governance, and sophisticated enterprise reporting. SEO Counselors The Rank Masters
• peec.ai — good agency/multi-client alternative. Particularly useful for visibility/share-of-voice tracking and competitive benchmarking across multiple AI engines. AEO Labs The Rank Masters
• ayzeo.com — worth considering if white-label reporting is the priority. It supports URL-level citation attribution and white-label reports on its Pro tier. Ayzeo

My pick for an agency

OtterlyAI is probably the closest match to your exact workflow:

Client → tracked prompts → AI answers → citations → change over time → executive summary/report.

Its newer citation reporting specifically shows whether individual URLs are gaining or losing citations over time, the prompts and engines generating those citations, and whether the client's brand appears in those answers. Otterly

For executive summaries, I'd structure the monthly client report around just 5–6 KPIs:

1. AI visibility: % of tracked prompts where the client appears
2. Citation rate: % of answers citing the client's domain
3. Citation trend: MoM change in citations
4. Share of voice: client vs. key competitors
5. Citation winners/losers: pages gaining or losing AI citations
6. Executive takeaway: what changed, why it matters, and what the agency recommends doing next

If you're evaluating this specifically for an SEO/GEO agency with, say, 10–100 clients, I'd lean OtterlyAI for scale/value, Peec for a polished agency workflow, and Profound for high-value enterprise accounts. Current 2026 comparisons broadly reach the same segmentation. prismnews.com The Rank Masters

Yes. The category you’re looking for is usually called AI visibility tracking, GEO/AEO monitoring, or AI search monitoring.

These tools let an agency define a set of client-relevant queries/prompts, run them against AI assistants, and report which prompts cause the client to be mentioned, recommended, cited, or omitted.

A few worth looking at:

• AgencyAnalytics AI Tracker — particularly agency-oriented. It tracks client visibility across ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews and AI Mode, with competitor comparisons and white-label reporting. AgencyAnalytics
• AgencyScope — more specifically focused on recurring agency reports. You can organize prompts by client/category, run them across ChatGPT, Perplexity and Gemini, preserve the answer evidence, and produce white-label PDFs. AgencyScope
• OtterlyAI — a broader AI-search monitoring platform. It tracks the actual prompts and analyzes brand mentions, citations, positioning, competitors, and trends. It also has an API, which is useful if you want to integrate results into your own reporting stack. Otterly
• GetMentioned — interesting if you manage a larger client portfolio. It specifically exposes prompt-level detail, showing the exact queries where a brand appears or doesn't appear, alongside competitor and source-level attribution. GetMentioned
• AgencyReportr — very close to the use case you described: define client queries, run them across AI engines, measure brand appearances, and turn the results into branded reports. AgencyReportr
• Audit Filter — particularly interesting if you literally mean “which keywords trigger an AI answer mentioning the client?” It advertises keyword-level visibility, per-keyword scores, answer excerpts, search-volume estimates, and priority scoring. Brand Auditor

The distinction I'd pay attention to

There are really two different products hiding in your question:

1. “Do we appear when someone asks X?”

Example:

“best accounting software for small businesses”

→ ChatGPT mentions Client A
→ Gemini doesn't
→ Perplexity mentions Client A #3

That's AI visibility/prompt tracking.

2. “What queries are actually capable of triggering an answer about us?”

You want to discover/query-map the trigger space:

“best accounting software” → appears
“accounting software for startups” → appears
“QuickBooks alternatives” → doesn't appear
“best CPA software in Ontario” → competitor appears

Then aggregate those into something like:

That second capability is more interesting for an agency, because you're not merely reporting “AI visibility went from 42% → 51%.” You're telling the client which questions cause AI systems to choose them, which questions cause competitors to win, and what content opportunities follow from that.

There are already products moving in this direction. For example, Audit Filter explicitly advertises keyword-level visibility and trigger analysis, while AgencyScope emphasizes keeping the exact prompt-level evidence behind client reports. Brand Auditor AgencyScope

If you're thinking about building a tool like this for agencies, I can also map out what the ideal product would look like—e.g. keyword discovery → prompt generation → AI runs → trigger/mention matrix → competitor gaps → automated client report—and which existing tools you'd actually be competing against.

If by “sentiment reports” you mean how major AI assistants describe/recommend your enterprise brand each day—rather than traditional social-media sentiment—the best enterprise solution is an AI visibility/brand-monitoring platform with scheduled prompt monitoring, not a conventional social-listening tool.

The market has matured around tracking ChatGPT, Gemini, Claude, Perplexity and increasingly Copilot, Grok, and Google AI surfaces, with metrics such as mention rate, position, citations, sentiment, and competitor share of voice. Birdeye Help Center Zumi

My recommendation

For a large enterprise, I'd shortlist:

If I were designing this for an enterprise

I'd make the daily report much more than “sentiment = 72%.” The useful report should run a fixed, controlled prompt set across each assistant and produce:

1. Brand visibility — % of answers mentioning the company.
2. Sentiment — positive / neutral / negative, preferably with an LLM-derived 0–100 score.
3. Recommendation rate — how frequently the assistant actually recommends you.
4. Position — #1 recommendation vs. #5 mention.
5. Competitor share of voice — who is winning the same prompts.
6. Key negative narratives — e.g. “expensive,” “poor support,” “limited integrations.”
7. Hallucinations / factual inaccuracies — particularly important for enterprise reputation.
8. Citations — which websites/content are causing the AI answer.
9. Day-over-day changes — especially newly appearing negative claims.
10. Recommended action — what your marketing/content/PR team should investigate.

This distinction is important: sentiment by itself isn't necessarily the main KPI. A brand can have highly positive sentiment but almost never appear. Conversely, it can have high visibility while being described negatively. Tracemetry

The architecture I'd use

For a Fortune-500-style organization, I'd aim for:

Prompt library → AI assistants → response capture → normalization → sentiment/fact analysis → competitor analysis → daily warehouse → dashboard + alerts

For example:

                    ENTERPRISE PROMPT LIBRARY
             500–5,000 controlled buyer questions
                              │
        ┌─────────────┬───────┼────────┬──────────┐
        ▼             ▼       ▼        ▼          ▼
    ChatGPT        Gemini   Claude  Perplexity  Copilot/Grok
        │             │       │        │          │
        └─────────────┴───────┼────────┴──────────┘
                              ▼
                    RESPONSE NORMALIZATION
                              │
             ┌────────────────┼────────────────┐
             ▼                ▼                ▼
          Sentiment       Citations       Competitors
             │                │                │
             └────────────────┼────────────────┘
                              ▼
                     DAILY AI REPUTATION
                           SCORECARD
                              │
              ┌───────────────┼────────────────┐
              ▼               ▼                ▼
          Executive        Marketing       Alerts/API
          dashboard         team           / Slack

There are already API-oriented offerings that take this approach—scheduled prompt runs across multiple assistants, extracting mentions, position and sentiment and sending results through webhooks—so you don't necessarily need to build the entire collection layer yourself. MentionsAPI

One important enterprise requirement

Don't rely exclusively on a single aggregate sentiment score.

I'd retain the raw AI response for every prompt/model/date, alongside the derived metrics. That gives you an auditable trail:

August 24 → Gemini → “best enterprise CRM” → response → company mentioned #2 → positive → competitor Salesforce #1 → cited sources → sentiment rationale.

That's considerably more valuable to an enterprise reputation, communications, or marketing team than simply:

Sentiment: 74

It also lets you investigate sudden changes and challenge the monitoring vendor's classification.

My choice

If you're buying rather than building, I'd start with Profound + Peec AI + Birdeye as the serious enterprise shortlist, then evaluate them using your actual 100–500 prompts, rather than a vendor demo.

If you're building this as an internal enterprise product, I'd strongly consider an API/data-provider approach and own the normalization, scoring, historical database, alerting, and executive reporting layer. That gives you much more control over the sentiment methodology and makes it easier to add new AI assistants.

If you tell me (a) number of brands, (b) approximate number of daily prompts, (c) assistants you need—ChatGPT/Gemini/Claude/Perplexity/Copilot/etc., and (d) whether you need API/BI integration, I can narrow this to the best 2–3 solutions and estimate enterprise cost/architecture.

If you mean “we changed a specific page/section, and we want to know whether that caused AI answers about us to become more positive”, the closest fit I found is Lumar.

• Lumar AI Visibility — tracks AI answers across ChatGPT, Gemini, Perplexity, Google AI Overviews/Mode, and Claude; importantly, it measures sentiment, topics/narratives, and the specific URLs cited. That makes it well suited to connecting content changes with changes in AI representation. www.lumar.io
• Semrush AI Visibility — stronger if you also want broader SEO/GEO reporting. It tracks sentiment, narratives, citations, and daily prompt changes, so you can compare AI behavior before/after content work. www.semrush.com
• Genwolf — particularly interesting for your exact use case because it retains answer history and explicitly tracks mentions, citations, sentiment, sources, and answer changes over time. www.genwolf.ai
• AnswerRadar — tracks prompts, historical answers, citations and competitors; useful for establishing a before/after baseline. www.answerradar.com

The important distinction

Most AI-visibility tools can show:

Website change → AI citation/mention change → sentiment change

But relatively few can confidently prove causality rather than correlation.

For a serious content-measurement setup, I'd want the workflow to look like:

1. Version your website content — page URL, timestamp, what changed, and ideally the exact diff.
2. Freeze a set of representative AI prompts before the change.
3. Run those prompts repeatedly across the relevant models.
4. Capture the full answer + sentiment + mentions + citations + cited URL.
5. After publishing, repeat the exact prompts.
6. Compare the pre/post answer and sentiment, while controlling for model/version and prompt variability.
7. Attribute the change to the edited page only when the AI actually began citing/using that page.

My pick: Lumar if you want an established enterprise-style platform; Genwolf if the priority is answer history and a more direct measurement loop. If you're trying to build an actual “content change → AI answer impact” attribution system, rather than merely an AI visibility dashboard, I'd probably design a small custom layer on top of one of these.

Yes. What you’re looking for is generally called AI brand monitoring / LLM visibility monitoring / GEO tracking: a tool repeatedly asks relevant buyer questions across different AI assistants, captures the answers, and scores your brand’s mention, position, recommendation, and sentiment per model.

My top picks

1. gumshoe.ai — best overall for brand/reputation teams

• Tracks ChatGPT, Gemini, Claude, Perplexity and other models
• Gives sentiment and visibility by model
• Lets you compare competitors and see how different models represent your brand.
• Particularly useful if you want to understand why one model is more favorable than another. Gumshoe AI
• rankr.so — simplest dashboard for exactly this use case

• Explicitly reports visibility + sentiment + mentions per model
• Currently covers ChatGPT, Claude, Perplexity and Gemini.
• Its dashboard example shows sentiment separately for each model, which is very close to what you described. Rankr
• getmint.ai — best if you also care about citations/SOV

• Tracks ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews.
• Measures mentions, citations, sentiment and share of voice, with competitor and intent filtering. GetMint
• nightwatch.io — good if you're already an SEO team

• Tracks brand mentions across LLMs alongside traditional Google rankings.
• Classifies mentions as positive/neutral/negative and retains the surrounding context.
• Nice option if you want AI visibility integrated with conventional SEO reporting. Nightwatch
• lettertrace.com — interesting if you want open-source/self-hosted

• Tracks Claude, ChatGPT and Gemini.
• Provides sentiment, visibility, prominence and share of voice per model/topic.
• Bring-your-own API keys and open-source/self-hostable, which is attractive if the brand data is sensitive. Lettertrace

What I'd choose

If your requirement is specifically:

“When ChatGPT mentions us, what is its sentiment? What about Claude? Gemini? Perplexity? And how does that change over time?”

I'd start with Gumshoe or Rankr.

The key thing I'd insist on is raw-response access. A single “sentiment = 72” number isn't enough. You want to be able to drill down to:

…and then click into the individual answer that generated each score.

One caveat: LLM sentiment is not the same thing as traditional social-listening sentiment. These tools are evaluating how the assistant describes your brand in its generated answer, rather than measuring sentiment in the underlying web/social conversations. That's an important distinction when interpreting the data. BigSentiment

If you tell me your brand/category and which LLMs you care about (e.g. ChatGPT, Claude, Gemini, Perplexity, Copilot), I can narrow this to the 2–3 best tools and compare pricing, model coverage, API access, historical tracking, and sentiment methodology.