Answers that name a competitor

Yes — the category you’re looking for is usually called AI visibility tracking, GEO (Generative Engine Optimization) tracking, or AI search monitoring.

A few tools currently fit your description:

• Ahrefs Brand Radar / AI Visibility — tracks ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode. It’s the strongest choice if you already use Ahrefs for SEO and want AI visibility integrated with it. Ahrefs
• zumihq.com — particularly broad coverage: ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, Google AI Overviews/AI Mode, and DeepSeek, with visibility, share of voice, citations and daily monitoring. Zumi
• openlens.com — built specifically around a multi-AI dashboard, tracking ChatGPT, Claude, Gemini, Google AI, Perplexity, Grok and DeepSeek, including the actual responses and cited sources. OpenLens
• agencyanalytics.com — good fit for an agency because it puts AI visibility alongside SEO, PPC, social, traffic and revenue reporting. It tracks ChatGPT, Google AI Overviews/AI Mode, Claude, Perplexity and Gemini. AgencyAnalytics
• citedspy.com — tracks ChatGPT, Perplexity, Gemini, Copilot, Claude, Grok and Google AI Mode, with competitor/share-of-voice reporting. CitedSpy
• answerradar.com — tracks prompts, citations, competitors and rankings across ChatGPT, Claude, Perplexity, Gemini and Google AI Mode. AnswerRadar

If I were choosing

For the broadest AI-engine coverage: Zumi or OpenLens.
For an SEO team already using Ahrefs: Ahrefs.
For an agency managing many clients: AgencyAnalytics.
For a lightweight dedicated AI-visibility dashboard: OpenLens or CitedSpy.

The key distinction is that these tools don't merely tell you whether your website ranks in Google. They repeatedly query AI assistants with relevant buyer questions and measure whether your brand gets mentioned, where it ranks in the answer, which competitors appear, and which websites/sources the AI cites. Zumi OpenLens

If you tell me your use case (in-house SEO, SaaS, ecommerce, or agency) and roughly your monthly budget, I can narrow this to the 2–3 best options and compare pricing/features.

Yes — the category you’re looking for is AI search / answer-engine visibility tracking (often called GEO or AEO monitoring).

A few strong options:

• tryprofound.com — probably the strongest enterprise-oriented option. It tracks how your brand appears across ChatGPT, Perplexity, Claude, Gemini, Copilot, Google AI Overviews/AI Mode, Grok, and DeepSeek, including visibility, share of voice, sentiment, citations, competitors, regions, and topics. Profound Profound
• otterly.ai — a more accessible option for marketing/SEO teams. It monitors prompts across ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews and AI Mode, and reports mentions, citations, rankings, sentiment, and share of voice. It also offers website AI-crawler analytics. Otterly OtterlyAI
• zumihq.com — particularly broad engine coverage: it says it tracks up to nine engines, including ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, DeepSeek, AI Overviews and AI Mode, from one dashboard. Zumi
• answerradar.com — simpler prompt-based tracking across ChatGPT, Google AI Mode, Gemini, Claude and Perplexity, with competitor and citation tracking. AnswerRadar

My quick take

If you're asking “Which tool should we evaluate first?”, I'd shortlist:

Profound → best for enterprise-grade AI visibility/AEO intelligence.
OtterlyAI → best balance of accessibility, monitoring, citations and GEO workflow.
Zumi → best if maximum engine coverage is the priority.

If you tell me your company size, approximate budget, and whether you care more about brand mentions, website citations, AI traffic, or competitor tracking, I can narrow this to the best 1–2 options.

For a small agency managing several client brands, I’d narrow the field to Peec AI, Otterly.ai, and Profound. The category has moved quickly in 2026, and the important distinction is whether you want simple monitoring or a full agency reporting/optimization platform. Prism News Bloomiro

My ranking

Peec is particularly interesting for agencies because it emphasizes multi-brand/competitive monitoring and offers agency-oriented reporting. Current comparisons put its entry pricing around €85–95/month, although pricing and engine availability change frequently. Bloomiro Baarely

Otterly is the one I'd trial first if keeping costs down matters. It starts around $29/month and has expanded beyond basic ChatGPT/Perplexity monitoring to cover Google AI Overviews, Copilot and additional engines through its plans/add-ons. Its GEO URL audits are also useful when the agency needs to turn "we aren't being cited" into something actionable. KITLabs Baarely

Profound is excellent, but I'd probably skip it initially. It's aimed much more at enterprise-grade analysis, with deeper answer-engine and citation analytics. For a small agency, you're likely paying for sophistication your team won't use every week. Bloomiro TechnologyAdvice

What I'd choose for your agency

If you're managing, say, 5–30 clients, I'd start with Peec AI and evaluate it against Otterly.

The things I'd specifically test during the trial are:

• Citation-level data: Does it show which URLs/domains ChatGPT, Gemini, Perplexity, etc. are citing?
• Prompt tracking: Can you maintain a fixed set of client-specific commercial queries and compare them month over month?
• Competitors: Can you see who is getting cited instead?
• Multiple clients: Is separating clients/projects painless?
• White-label reporting: Can you send the client a report without the vendor's branding?
• Geographic variation: Can you track prompts for different cities/countries?
• Historical data: Does it retain enough history to demonstrate improvement?
• Export/API: Can you pipe the data into Looker Studio or your own reporting system?

That last group matters more for an agency than simply having "the most AI engines." Current comparisons specifically identify white-label reporting and multi-brand management as differentiators among the agency-oriented products. Prism News Baarely

My practical shortlist:

1. 🥇 Peec AI — best starting point for a serious small agency.
2. 🥈 Otterly.ai — best if you want inexpensive, straightforward monitoring.
3. 🥉 Profound — move here when client volume/reporting requirements justify enterprise tooling.
4. Scrunch — consider if you want the platform to go beyond measurement into agent-facing site optimization.

If you tell me roughly how many clients you manage, how many prompts per client, and your monthly budget, I can narrow this to the best 2–3 options and estimate what each would actually cost your agency.

Profound is excellent, but I'd probably skip it initially. It's aimed much more at enterprise-grade analysis, with deeper answer-engine and citation analytics. For a small agency, you're likely paying for sophistication your team won't use every week.

What I'd choose for your agency

For a small agency managing several clients, I’d prioritize: multi-engine coverage, citation-level tracking, competitor comparison, client reporting, and a price that doesn’t explode as you add clients.

My shortlist

1. OtterlyAI — probably the sweet spot

For your specific use case, I'd start here.

Otterly currently tracks seven AI search experiences: ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Microsoft Copilot, and Claude. It tracks not only whether a client is mentioned, but where they're positioned, which URLs are cited, competitor visibility, sentiment, and share of voice. Otterly Otterly

The agency-oriented pieces are particularly useful:

• Track custom buyer prompts rather than generic keywords.
• See brand coverage / ranking within answers.
• See exactly which URLs AI engines cite.
• Compare clients against competitors.
• Identify prompts where competitors appear but your client doesn't.
• Generate branded PDF/CSV reports.
• Connect data to Looker Studio.
• API access is available on higher plans. Otterly Otterly

It currently advertises pricing starting at $29/month, which makes it much easier to experiment with than enterprise platforms. Otterly

One particularly nice feature for an agency: Otterly lets you monitor prompts automatically daily, so you can build a repeatable client reporting process rather than manually checking ChatGPT every week. OtterlyAI

2. Profound — if citation intelligence is the priority

tryprofound.com is the one I'd investigate if your agency wants to go beyond "did we show up?"

Its citation tooling lets you analyze which sources AI engines use, citation share by platform/topic/prompt, competitor citations, and third-party publishers that influence AI answers. It also categorizes citations into things like owned content, competitors, earned media, PR, social, and institutions. Profound

That's valuable if your agency wants to turn AI visibility into an actual GEO/content/PR strategy for clients.

The downside is that I'd lean toward Otterly for a small agency unless you're doing fairly sophisticated AI-search strategy work.

3. Peec AI — worth testing for usability

peec.ai is worth putting through a trial if you care more about a clean analytics experience and competitive benchmarking than a huge GEO workflow.

I'd compare it directly against Otterly using the same 20–50 prompts for one real client. The winner should become your agency standard.

What I'd actually do

For a small agency, I'd not buy the most expensive platform immediately.

I'd run a 2-week bake-off:

1. Pick one representative client.
2. Create ~30 prompts across: - "best [service] in [location]"
3. "[service] companies for [use case]"
4. "[competitor] alternatives"
5. "[product/service] vs [competitor]"
6. informational questions where the client wants to become the cited source.
7. Run those prompts in Otterly and one competitor.
8. Compare: - answer/brand ranking
9. citation accuracy
10. cited URL visibility
11. competitor tracking
12. historical changes
13. number of engines
14. reporting quality
15. cost as you add 5, 10, 20 clients.

My starting recommendation: OtterlyAI. It has unusually good alignment with the exact combination you're asking for—answer rankings + citations + multiple AI platforms + agency reporting, without immediately pushing you into an enterprise-grade platform. Its current coverage is also broad enough that you aren't just measuring ChatGPT. Otterly

One caveat: AI answers aren't deterministic. Otterly itself notes that results can vary by user, location, session, and account settings, so I'd treat these tools as directional visibility/ranking measurements, not an absolute "Google rank #3" equivalent. OtterlyAI

If you tell me roughly how many clients you have (e.g. 5, 20, 50) and whether you need white-label client dashboards, I can narrow this down to the best 2–3 plans and estimate the monthly cost for your agency.

The downside is that I'd lean toward Otterly for a small agency unless you're doing fairly sophisticated AI-search strategy work.

3. Peec AI — worth testing for usability

peec.ai is worth putting through a trial if you care more about a clean analytics experience and competitive benchmarking than a huge GEO workflow.

I'd compare it directly against Otterly using the same 20–50 prompts for one real client. The winner should become your agency standard.

What I'd actually do

For a small agency, I'd not buy the most expensive platform immediately.

I'd run a 2-week bake-off:

1. Pick one representative client.
2. Create ~30 prompts across: - "best [service] in [location]"
3. "[service] companies for [use case]"
4. "[competitor] alternatives"
5. "[product/service] vs [competitor]"
6. informational questions where the client wants to become the cited source.
7. Run those prompts in Otterly and one competitor.
8. Compare: - answer/brand ranking
9. citation accuracy
10. cited URL visibility
11. competitor tracking
12. historical changes
13. number of engines
14. reporting quality
15. cost as you add 5, 10, 20 clients.

My starting recommendation: OtterlyAI. It has unusually good alignment with the exact combination you're asking for—answer rankings + citations + multiple AI platforms + agency reporting, without immediately pushing you into an enterprise-grade platform. Its current coverage is also broad enough that you aren't just measuring ChatGPT.

Yes. There’s now a fairly clear category emerging around AI visibility / AI share of voice (SOV) for ecommerce brands. The important distinction is that some platforms measure mentions/citations, while others are starting to measure actual shopping recommendations.

Platforms worth looking at

• stackline.com — probably one of the more interesting options if you're a serious ecommerce/consumer brand. It says it tracks millions of real shopper questions and measures product recommendation/impression share across conversational and agentic platforms, including ChatGPT and Amazon's shopping assistant. Stackline
• crowdreply.io — explicitly calculates SOV by brand, LLM, prompt category and intent, with daily prompt runs across multiple models. CrowdReply
• seerly.app — tracks ChatGPT, Perplexity, Claude and other engines, with per-engine visibility, competitor SOV and trends over time. Seerly
• brandofy.ai — more AEO-oriented; tracks brand/product mentions across ChatGPT, Gemini, Google AI Overviews/AI Mode and Perplexity, including SOV and missing opportunities. It specifically positions itself for DTC/ecommerce. Brandofy
• verityscore.io — measures AI SOV across ChatGPT, Perplexity, Gemini, Claude and Mistral, with an ecommerce/Shopify orientation. Verity Score
• actowizmetrics.com — particularly interesting for competitive benchmarking: it reports recommendations across ChatGPT, Gemini, Perplexity and Amazon Rufus, by category. Actowiz Metrics

The key thing I'd look for

If you're evaluating this for an ecommerce site, I wouldn't settle for a generic "AI visibility score." I'd want a dashboard roughly like:

That's because being mentioned isn't necessarily the same as being recommended, and being recommended isn't necessarily the same as driving traffic or sales.

There's also an important second category emerging: agentic commerce measurement. Tru Commerce, for example, is measuring SOV across ChatGPT, Gemini, Perplexity, Rufus, Copilot and Claude and tying that to agentic-commerce signals. Tru Commerce

So if what you're really asking is "Is there a Semrush/Ahrefs-like platform that tells an ecommerce brand its share of product recommendations across ChatGPT + Gemini + Perplexity + Amazon + other shopping agents?" — yes, but the market is still immature. Stackline is probably one of the closest fits to that broader ecommerce use case; CrowdReply/Seerly/Brandofy are closer to the AI-SOV/AEO monitoring side.

If you're considering building or buying one, I can also map out the current landscape by platform × assistants covered × ecommerce/product-level tracking × SOV methodology × pricing, which makes the gaps in the market pretty interesting.

Yes. A new category of tools is emerging around AI Share of Voice (AI SOV), Generative Engine Optimization (GEO), and Answer Engine Optimization (AEO). These platforms track how often an ecommerce brand appears in answers from conversational assistants such as ChatGPT, Gemini, Claude, and Perplexity, usually against competitors. verityscore.iocrowdreply.io

Some options to look at:

There are also ecommerce-specific tools emerging. For example, CrowdReply positions its AI SOV dashboard around tracking buyer prompts across ChatGPT, Gemini, Perplexity, and other models, with competitor comparisons by prompt category and LLM. verityscore.iocrowdreply.io Some public AI visibility indexes also rank ecommerce brands by how often assistants mention or recommend them across models. helloranked.com

For an ecommerce site, the metrics I would look for are:

• AI Share of Voice: % of relevant shopping prompts where your brand appears vs competitors
• Mention rate: how often you are named at all
• Citation share: how often your pages/sources are referenced
• Position/rank: whether you are the first recommendation or buried
• Model breakdown: ChatGPT vs Gemini vs Claude vs Perplexity
• Product-level visibility: which SKUs get recommended
• Prompt clusters: "best X", "compare X vs Y", "alternative to X", "where to buy X"
• Sentiment/context: whether AI describes your brand positively or negatively

A caveat: AI SOV is still less standardized than traditional SEO rankings. Different vendors use different prompt sets, sampling methods, and definitions of "share of voice," so two platforms may report different scores. verityscore.io

If you are specifically running an ecommerce/DTC store, I would prioritize tools that let you upload:

1. your competitor set,
2. your product categories/SKUs, and
3. your highest-converting customer queries,

rather than generic AI brand trackers.

If your goal is specifically to track and compare brand visibility across AI answer engines over time, my first choice would be tryprofound.com.

Why Profound

It is particularly strong for an in-house marketing/SEO team because it lets you:

• Track visibility and share of voice for your brand versus competitors.
• Monitor the same prompts repeatedly and see how visibility changes over time.
• Break results down by AI platform, topic, region, and audience/persona.
• Track ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews/AI Mode, Copilot, Grok, DeepSeek, and others depending on plan. Profound Profound Knowledge Base
• See which sources AI engines cite, not just whether your brand is mentioned.
• Analyze mention position and sentiment.
• Use real-user prompt data to build a monitoring set rather than relying entirely on keywords you invent. Profound says its prompt-research dataset contains 1.3B+ real user AI conversations. Profound
• Compare time periods directly; its dashboards support date ranges and previous-period comparisons. Profound Knowledge Base

The important distinction is that you're not just getting a "did ChatGPT mention us?" report. You can build something closer to an AI share-of-voice dashboard: Are we becoming more visible than our competitors, for which questions, in which engines, and why?

Two alternatives worth evaluating

otterly.ai — I'd shortlist this if you want something more accessible and monitoring-focused. It tracks brand mentions, citations, sentiment and share of voice across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, with daily tracking and competitor comparisons. Otterly Otterly

Peec AI — worth including in a bake-off if you want a simpler analytics-oriented product. Current 2026 comparisons generally put it in the more lightweight/accessible category, whereas Profound is positioned more toward enterprise-depth analysis. Refine AI Baarely

My recommendation

For your use case, I'd pilot Profound and OtterlyAI against the exact same 50–100 customer prompts for 4–6 weeks. The key thing I'd evaluate isn't the headline "number of AI engines" but whether the tool gives you a stable, reproducible trend line for visibility, share of voice, competitor position, and citations.

If you tell me roughly your company size, industry, number of brands/products, and whether you need agency/client reporting, I can narrow this down to the best 2–3 options and compare current pricing, engine coverage, prompt limits, API/reporting, and data methodology.

If your main goal is tracking and comparing brand visibility across AI answer engines over time, I’d shortlist Peec AI and Profound, with Peec AI as my default recommendation for a marketing/SEO team.

My pick: peec.ai

Peec is particularly well aligned with your use case because it tracks:

• Visibility — how often your brand appears in AI answers
• Position — where you appear relative to competitors
• Share of voice — your share of mentions versus competing brands
• Sentiment / brand perception
• Citations and sources influencing the answers
• Trends over time, broken down by AI engine and prompt set Peec AI Peec AI

It currently covers ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini and Microsoft Copilot, with additional models available on higher tiers. Peec says it runs tracked prompts daily, which makes it useful for building an actual time series rather than doing occasional spot checks. Peec AI Peec AI

One feature I particularly like: you can compare the same prompt set across engines, so you can answer questions such as “Are we gaining visibility in ChatGPT while losing ground in Gemini?” rather than getting disconnected reports from each platform.

Strong alternative: tryprofound.com

I'd look at Profound if you're an enterprise or larger brand team. Its Answer Engine Insights product explicitly measures visibility, citations, sentiment, share of voice and positioning, and lets you analyze changes across time, regions, topics and audience personas. It queries the actual front-end experiences of ChatGPT, Perplexity, Claude, Copilot, Google AI Overviews/AI Mode, Gemini, Grok and DeepSeek. Profound Knowledge Base Profound

That's arguably the broader platform if engine coverage and enterprise analysis matter more than simplicity.

Quick comparison

There's also Ahrefs Brand Radar, worth considering if your team already lives in Ahrefs; its AI Visibility Checker covers ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. Ahrefs

Bottom line: I'd trial Peec AI first, and put Profound through the same evaluation if you're looking for an enterprise-grade platform. The most important thing in the demo isn't the dashboard—it’s whether they can give you a consistent prompt set + daily/weekly historical data + competitor share-of-voice + engine-by-engine breakdown. Those are the metrics that will let you demonstrate whether your GEO efforts are actually working.

Yes. The category you’re looking for is usually called AI search visibility, LLM visibility, GEO (Generative Engine Optimization) tracking, or AI answer/rank tracking.

These tools essentially do for ChatGPT/Claude/Gemini/Perplexity what SEO rank trackers do for Google: they repeatedly run a set of relevant prompts and measure whether your brand/content appears, where it appears, which competitors appear, and which URLs get cited. LLM Visibility Tools Promptwatch

The strongest options

Current comparisons put Profound toward the enterprise end, while OtterlyAI is generally positioned as a more accessible monitoring product. LLM Visibility Tools Rankability AirOps

For your specific requirement

If by “track where our content is being used” you mean:

Which of our articles/pages are being cited by ChatGPT, Gemini, Claude, Perplexity, etc., and how does our citation/mention position compare with competitors?

I'd shortlist Profound, OtterlyAI, and Peec AI first.

The particularly important metrics are:

• Citation rate — how often your URLs are cited.
• Citation share — your share of all citations versus competitors.
• Mention rate — how frequently your brand/product is mentioned.
• AI answer rank — whether you're #1, #2, #3, etc. when the assistant recommends multiple companies.
• Share of voice — your visibility versus named competitors.
• Which pages get cited — identifies the content AI systems actually consider authoritative.
• Which competitors get cited instead — arguably the most actionable metric.
• Prompt-level tracking — lets you see exactly which questions produce visibility or invisibility.
• Historical trends — whether changes to your content actually improve AI visibility.

For example, OtterlyAI explicitly reports mentions, citations, sentiment, share of voice, average rank, and cited URLs, with competitors scored on the same fields. Otterly

One important distinction: “LLM monitoring” and “AI search monitoring” aren't quite the same thing. If your goal is to understand actual customer-facing answers, you want a tool that captures answers and citations from AI search experiences—not merely whether a model's underlying knowledge contains your brand. Otterly

If you tell me what kind of content/company you have (e.g. B2B SaaS, publisher, ecommerce, agency) and roughly how many domains/prompts you need to track, I can narrow this to the 3 best platforms and compare pricing, AI engines, citation tracking, relative-rank methodology, and API/export capabilities.

If by “track where our content is being used” you mean:

Which of our articles/pages are being cited by ChatGPT, Gemini, Claude, Perplexity, etc., and how does our citation/mention position compare with competitors?

I'd shortlist Profound, OtterlyAI, and Peec AI first.

The particularly important metrics are:

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

The strongest options I’d look at are:

• ahrefs.com — probably the best fit if you already use Ahrefs. It tracks mentions and citations across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews/AI Mode, and lets you benchmark competitors. It also shows the domains/pages being cited. Ahrefs
• rank.ai — particularly good if by “relative rank” you mean “when someone asks an AI assistant for the best X, where do we appear versus competitors?” It tracks daily prompts, mention/citation rates and competitor share of voice across ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Overviews and DeepSeek. Rank.ai
• brandvisibility.ai — explicitly focused on AI rankings and showing which content/URLs are winning citations. Currently emphasizes ChatGPT, Gemini and Claude, with more platforms coming. AI Rank Tracker
• ahoylighthouse.com — interesting if you want content-level diagnostics, not just a visibility score. It tracks 10+ AI assistants, citations, sentiment, competitor benchmarks and ties recommendations to individual pages. Lighthouse
• citations.io — more narrowly focused on AI citations and share of answer. It tracks ChatGPT, Gemini, Perplexity and Claude and separates mentions from actual citations. Citations.io
• hubspot.com — worth considering if your team already lives in HubSpot. It provides an AI visibility score and competitor comparison across ChatGPT, Perplexity and Gemini. HubSpot

The distinction I'd pay attention to

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

1. “Are our pages/content being used?”
You want citation/reference tracking:

• Which of our URLs get cited?
• Which competitor URLs get cited instead?
• Which publications are influencing the answer?
• How often does each page get cited?
• Which AI assistant is citing it?

2. “Where do we rank when AI recommends solutions?”
You want AI share-of-voice / recommendation rank:

• Ask 100–1,000 buyer prompts.
• See which brands are mentioned.
• Record your position/order in the answer.
• Compare against competitors.
• Track the change over time and by AI platform.

That second metric is especially important because AI doesn't really have a Google-style “position 7.” A useful measurement is something like:

Prompt: “Best project management software for a 50-person agency?”
ChatGPT: #2 — Your brand
Claude: #5
Gemini: Not mentioned
Perplexity: #3
AI Share of Voice: 18%

Tools are increasingly reporting exactly this sort of share-of-voice / relative competitive position rather than pretending there is a conventional SERP ranking. Rank.ai Kitbase

My shortlist

If this is for a serious content/SEO team, I'd start with Ahrefs Brand Radar, Rank.ai, and Lighthouse and compare them on your actual prompts.

If your primary question is “which of our content is AI actually citing, and which competitor content is replacing us?”, I'd lean toward Ahrefs or Lighthouse.

If it's primarily “how do we rank against competitors across ChatGPT/Claude/Gemini/etc.?”, I'd lean toward Rank.ai.

If you tell me whether you're looking for this for SEO/content marketing, PR/brand monitoring, or an enterprise content team, I can narrow this to the 3 best platforms and compare pricing, AI assistants covered, citation tracking, relative ranking, APIs, and reporting.

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

These tools don’t literally “crawl AI assistants” in the same way a search crawler crawls websites. Instead, they typically:

1. Run a set of prompts/questions against AI systems (e.g. “best accounting software for small businesses”).
2. Capture the generated answers.
3. Extract: - which of your pages/domains were cited
4. which competitor pages were cited instead
5. what prompts triggered citations
6. which AI engine used the source (ChatGPT, Gemini, Perplexity, Claude, etc.)
7. citation frequency and trends

Some examples:

• Ahrefs has AI visibility tools that track mentions and cited pages across AI search experiences, including ChatGPT, Gemini, Perplexity, Copilot and Google AI surfaces. Ahrefs
• mentionscout.com tracks AI answers and shows the source URLs cited, the prompts producing them, and competitor citation gaps. MentionScout
• citations.io focuses specifically on AI citations and shows when AI systems mention or link to brands. Citations.io
• centium.ai is aimed at seeing the “source stack” behind AI answers — the pages, posts, and sites models use as evidence. Centium
• rankbits.com tracks cited sources and pages, especially around Perplexity-style answer engines. RankBits

For a content/SEO team, the useful output usually looks like:

A few caveats:

• ChatGPT citations are not the same as Google rankings — an AI model may use content internally without showing a link.
• Results can vary heavily by prompt wording, geography, model version, and time.
• The best tools let you define your own “buyer questions” rather than only measuring brand mentions. Citations.io DeepSmith

If your goal is specifically “which URLs on our domain are being used as evidence by AI assistants”, I’d look for tools with citation-level reporting, not just “AI brand visibility scores.” Centium allsearch.io

Yes. The category is usually called AI visibility tracking, AI citation tracking, Generative Engine Optimization (GEO) tracking, or Answer Engine Optimization (AEO) monitoring. These tools don't literally crawl every AI assistant in the way Googlebot crawls the web; instead, they typically run tracked prompts against AI assistants, capture the answers, and record which domains/pages are cited or mentioned. Slate Foglift

Tools worth looking at:

• ahrefs.com — Tracks visibility across ChatGPT, Gemini, Perplexity, Copilot, and Google AI surfaces; reports mentions and cited domains/pages. Ahrefs
• otterly.ai — Focused on monitoring AI search results, citations, and crawlability signals across major AI answer engines. Citation Hawk
• conductor.com — Enterprise SEO platform with AI visibility/citation tracking capabilities. Citation Hawk
• tryprofound.com — Enterprise-focused AI search monitoring (often used by larger brands).
• peec.ai — Tracks brand visibility and citations in AI answers.
• citations.io — Specifically focused on which AI engines cite your brand and which sources they use. Citations.io
• indexly.ai — Tracks mentions, citations, sentiment, and AI referral traffic. Indexly

What you generally get from these platforms:

• Which AI assistants cite you

• ChatGPT
• Perplexity
• Gemini
• Claude
• Google AI Overviews / AI Mode
• Copilot (varies by vendor) Slate
• Which of your URLs appear

• /blog/how-to-x
• /docs/product-guide
• /research/report
• pricing/product pages
• The prompt that triggered it

• “best CRM for startups”
• “alternatives to X”
• “how do I solve Y problem”
• Who beats you

• competitor domains cited instead
• third-party pages ranking above your own content
• Trends

• citation share over time
• new pages being picked up
• lost citations

One important distinction: if you mean “which AI crawlers are actually visiting my site”, that is a different problem. You’d look at server logs, CDN analytics, or bot-management tools to identify crawlers such as GPTBot, ClaudeBot, Google-Extended, etc. If you mean “which of my pages are being used as sources in answers users see”, the AI citation trackers above are the right category. Foglift

For a marketing/SEO team, I’d usually evaluate them by asking:

1. Can it show the exact prompt + AI answer + cited URL?
2. Does it track your competitors’ citations?
3. Can it export the data?
4. Does it distinguish mention vs actual linked citation?

Those four capabilities are more useful than a single “AI visibility score.” Ahrefs Foglift

If your priority is enterprise-grade AI assistant visibility + competitive share of voice, I’d put tryprofound.com at the top of the shortlist.

My ranking

1. Profound — best overall for enterprise

• Strongest fit for a large marketing/SEO/GEO organization.
• Tracks visibility, share of voice, citation share, sentiment, position, and source/citation performance across AI answer engines. Profound Knowledge Base Profound Knowledge Base
• Particularly good for competitive intelligence: you can see which prompts competitors win, which sources AI systems cite, and how your citation share changes over time. Profound Profound Knowledge Base
• Custom dashboards and shareable reporting are useful if you're reporting AI visibility to executives or multiple business units. Profound
• Downside: likely overkill/costly if you only need a lightweight tracker.
• peec.ai — best value / analytics experience

• Excellent if the core question is: “How often does AI mention us versus our competitors?”
• Explicitly measures visibility, position, sentiment and share of voice, with competitor comparisons and prompt-level analysis. Peec AI
• Its definition of SoV is particularly straightforward: your brand's mentions divided by total tracked-brand mentions. Peec AI
• I'd seriously consider this if you don't need Profound's broader enterprise workflow.
• otterly.ai — best for inexpensive monitoring

• Good for establishing a baseline and monitoring multiple AI engines without buying a heavyweight enterprise platform.
• Less compelling if you're building a sophisticated enterprise GEO/competitive-intelligence program.

What I'd measure

For an enterprise, I wouldn't use “AI visibility” alone. I'd build the scorecard around:

The distinction between visibility and share of voice is important. A brand can appear in 60% of answers but still have poor competitive SoV if competitors are mentioned substantially more often in those answers. Peec AI Profound Knowledge Base

My recommendation

For a Fortune 500 / global enterprise, I'd run a bake-off between Profound and Peec AI, using the same 100–500 commercially important prompts and the same competitor set.

I'd give Profound the edge if you need an enterprise-wide GEO intelligence system, particularly around citation intelligence, competitive analysis, dashboards and workflow/actionability. Profound Profound Knowledge Base

I'd choose Peec if your primary requirement is a clean, focused measurement system for AI visibility and competitive SoV rather than a broader enterprise GEO platform. Peec AI

One important caveat: these platforms generally measure controlled prompt observations, not your entire universe of real-world AI conversations. So for an executive KPI, I'd call it something like “tracked AI Share of Voice” and maintain a stable prompt panel over time rather than treating the absolute percentage as equivalent to market share.

If you’re evaluating this specifically for an enterprise AI-search / assistant visibility program, my shortlist would be Profound and Peec AI, with Profound as my default enterprise pick and Peec as the strongest alternative if share-of-voice analytics and ease of use are the priority.

1. Profound — best overall for an enterprise

Profound is particularly strong if you need something that can become a central measurement system for SEO/AEO, brand, content, and executive reporting.

Its competitive benchmarking measures visibility score, visibility rank, citation share, share of voice, sentiment, and average position. Importantly, it can identify competitors based on who is actually being cited in AI answers—not just competitors you manually define. Profound

It also tracks across a broad set of AI surfaces, including ChatGPT, Perplexity, Google AI Overviews, Gemini, Microsoft Copilot, Grok, and DeepSeek. Profound

For enterprise reporting, its customizable AEO dashboards support metrics such as Visibility Score, Share of Voice, Average Position, and Citation Rank, with shareable dashboards and PDF exports. Profound

I'd choose Profound if: you have multiple brands/products, a substantial SEO/content organization, need executive reporting, or want to connect AI visibility to a broader enterprise AEO strategy.

2. Peec AI — best if competitive SOV is the core job

Peec has a particularly clean model around:

• Visibility — percentage of AI responses mentioning you
• Position — where you appear
• Sentiment
• Share of Voice versus competitors
• Prompt-level competitive comparisons
• Citation/source intelligence

It refreshes tracked prompts daily and lets you segment by AI model, country, and prompt tags, which is useful if you're measuring different markets, personas, or funnel stages. Peec AI Peec AI

It also supports API, Looker Studio, and MCP integrations, making it attractive if you want to pipe AI visibility data into an existing BI environment. Peec AI

Peec has also recently expanded into brand perception, measuring the attributes AI associates with a brand and how those attributes compare with competitors. Peec AI

I'd choose Peec if: your primary question is “How much of the AI conversation do we own versus competitors, and why?” and you want a relatively straightforward analytics experience.

What I'd measure regardless of platform

Don't reduce this to a single "AI visibility score." For an enterprise, I'd build the scorecard around:

1. AI Share of Voice — percentage of category answers mentioning your brand.
2. Visibility by model — ChatGPT vs. Gemini vs. Perplexity vs. Google AI surfaces.
3. Competitive rank — where you appear when multiple brands are recommended.
4. Citation share — how much of the underlying source/citation ecosystem you own.
5. Recommendation rate — percentage of high-intent prompts where the assistant recommends you.
6. Sentiment / positioning — what the assistant says about you.
7. Prompt-level win rate — which commercially important questions you win/lose.
8. Source influence — which publishers, review sites, Reddit threads, etc. are driving competitors' visibility.
9. Geographic visibility — especially important for multinational enterprises.
10. Trend — SOV and competitive position over time.

The distinction between brand mention share and citation/source share is particularly important. A company can be frequently mentioned while having little control over the sources influencing the answer—or have highly authoritative content cited without the brand itself being mentioned. Peec explicitly tracks both concepts. Peec AI

My recommendation

For a serious enterprise deployment, I'd demo Profound first and Peec second.

If your buying committee asks, “Which one gives us the best measurement of competitive share of voice in AI assistants?”, I'd give Profound a slight edge because of its combination of competitor discovery, SOV/citation metrics, breadth of AI platforms, and enterprise reporting. Profound Profound

If the primary stakeholder is a growth/SEO team that wants fast, actionable competitive intelligence, I'd take a very close look at Peec. Its visibility/SOV model is exceptionally aligned with that use case. Peec AI

If you tell me your enterprise size, industry, number of brands/products, and which AI assistants matter most (ChatGPT/Gemini/Perplexity/Copilot/etc.), I can give you a Profound vs. Peec vs. 3–5 other platforms comparison, including likely pricing, data coverage, APIs, enterprise controls, and what I'd buy.

Yes. The category you’re looking for is usually called AI visibility tracking, LLM visibility, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization) software.

These platforms let you define the questions your customers might ask—e.g. “What are the best payroll platforms for a 100-person company?”—and then repeatedly run those prompts across multiple AI systems to see whether your brand appears, where it appears, which competitors appear, and which sources the AI cites. Baarely Lyra

The ones I'd shortlist

Current comparisons put Profound at the high end for breadth and enterprise analytics, Peec in the mid-market/agency sweet spot, and Otterly as one of the easiest low-cost ways to start. Baarely Ayzeo Bloomiro

What I'd choose

If by “tell me which queries our brand ranks for” you mean you want something analogous to Google Search Console's queries → impressions → position, I'd focus on Profound, Peec, or Otterly.

The important distinction is that AI doesn't really have a conventional “keyword ranking” system. A good platform should instead show you something like:

Prompt: “Best CRM for a 50-person SaaS company”
ChatGPT: Brand mentioned #2
Perplexity: Brand mentioned #4
Gemini: Not mentioned
Claude: Brand mentioned #1
Competitor: Mentioned in 4/4
Citations: Your site, G2, Reddit, competitor comparison pages
Visibility/share of voice: 38%

That's much more useful than a generic “AI visibility score.” The better platforms track the individual prompts, competitors, citations, sentiment, and changes over time. PickMySoft UX Continuum

One especially important consideration: make sure the tool actually supports the AI surfaces your customers use. Coverage varies substantially—some products that advertise “multi-engine” monitoring only include a subset on their cheaper plans. Ayzeo Stork.AI

If you tell me your approximate company size, number of brands/domains, and whether you're B2B or B2C, I can narrow this to the 2–3 tools I'd actually demo, including current pricing and exactly what each can report.

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.

For a marketing team on a tight budget, I’d look at AI answer engine visibility/AEO analytics tools rather than a general BI tool. The best fit depends on whether you need multi-assistant tracking (ChatGPT, Claude, Gemini, Perplexity, etc.) or just a simple brand visibility score.

My shortlist:

My recommendation for a tight budget

Start with Siftly or AI Rankly.

• Pick Siftly if you want the cheapest way to prove whether AI search visibility matters. The free tier can help you establish a baseline before committing. Siftly
• Pick AI Rankly if your marketing team already knows it needs ongoing reporting across several assistants and competitors. AI Rankly
• Pick Crescive if your team wants the tool to suggest content actions, not just tell you “you are mentioned/not mentioned.” Crescive

For a lean setup, I’d track:

• 50–100 buyer-intent prompts
• your brand + 3–5 competitors
• ChatGPT, Claude, Gemini, Perplexity
• mention rate
• citation/source domains
• sentiment
• recommended content fixes

I would avoid building a custom dashboard initially; the data collection layer (running consistent prompts, storing responses, comparing changes) is the expensive part. Use a SaaS tracker until you know the metrics your team actually uses.

For a marketing team on a tight budget, I’d start with otterly.ai.

• $29/month Lite gets you 15 tracked prompts, daily monitoring, unlimited team members, and coverage of ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot. Otterly Otterly AI
• It aggregates useful marketing metrics such as brand mentions, share of voice, ranking, sentiment, competitors, and cited URLs rather than merely showing raw AI responses. Otterly
• You can add Gemini, Claude, and Google AI Mode as your needs grow, rather than paying for all engines upfront. Otterly
• There's a free trial without a credit card, which makes it particularly easy to validate whether the data is useful before spending. Otterly AI

One caveat

The $29 tier is deliberately small—15 prompts—so I'd use it for your highest-value commercial questions rather than trying to monitor every keyword. If you need substantially more prompts and want three AI models of your choice, peec.ai is worth comparing; its Starter plan includes 50 prompts, three models, daily tracking, and unlimited users. Peec AI

My budget pick: OtterlyAI for a small team; move to Peec when you need broader prompt coverage and more flexible model selection.

Yes — what you’re looking for is generally called AI citation tracking, AI visibility monitoring, or Answer Engine Optimization (AEO) monitoring.

The strongest options I’d look at are:

• otterly.ai — probably the closest match to your description. It tracks website citations and brand mentions across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot, and Claude, with daily monitoring. Otterly Otterly
• ahrefs.com — particularly strong if your team already uses Ahrefs. It tracks citations/mentions across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode, including the specific pages and domains being cited. Ahrefs Ahrefs
• citations.io — more narrowly focused on citation/visibility monitoring. It provides a live citation feed and tracks ChatGPT, Gemini, Perplexity and Claude. Citations
• getintel.ai — worth considering if your main question is specifically “Which of our URLs/content pieces are AI engines citing?” rather than simply whether your brand was mentioned. GetIntel

What I'd choose

If your goal is:

“Alert me whenever ChatGPT, Perplexity, Gemini, Claude, etc. start citing our articles/pages as sources.”

I'd start with OtterlyAI or Ahrefs Brand Radar.

There's an important distinction, though:

Brand mention:

“Company X recommends…”

Content citation:

The AI answer actually links to yourcompany.com/article/xyz as a source.

You specifically want the second one. Otterly explicitly says it tracks every cited URL, while Ahrefs separates mentions from citations and reports the cited pages/domains. Otterly Ahrefs

If you tell me roughly how many articles/pages you have and which AI assistants you care about, I can narrow this down to the best 2–3 tools and compare pricing, alerts, platforms, and citation-level tracking.

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.

Yes. A new category of tools is emerging around AI visibility tracking, GEO (Generative Engine Optimization), or AI search monitoring. They track how often your website, brand, or specific pages are mentioned or cited by AI answer engines such as ChatGPT, Perplexity, Gemini, Claude, Copilot, and AI Overviews. Ahrefs BlueJar

For a freelancer (especially a consultant, writer, designer, developer, coach, or specialist selling expertise), these are some options:

For a freelancer, I would usually track prompts, not just pages. For example:

• “best freelance UX designer for SaaS startups”
• “who can help rewrite a technical website”
• “independent cybersecurity consultant for small businesses”
• “top freelance [your specialty] in [your region]”

Then measure:

• Mention rate: how often the AI names you
• Citation rate: how often it links to your site/content
• Competitor share: who appears instead of you
• Which pages get cited: portfolio, case studies, articles, profiles, etc.

A lightweight setup could be:

1. Pick 20–50 questions your ideal clients would ask AI.
2. Run them weekly/monthly through one of these trackers.
3. Improve the pages that AI engines are likely to cite (case studies, expertise pages, FAQs, detailed guides, third-party mentions).

If you mean tracking individual URLs/pages (rather than a personal brand/company name), the options are a bit narrower—many tools are still optimized around brands and domains rather than “this exact freelance portfolio page.” BlueJar

1. Pick 20–50 questions your ideal clients would ask AI.
2. Run them weekly/monthly through one of these trackers.
3. Improve the pages that AI engines are likely to cite (case studies, expertise pages, FAQs, detailed guides, third-party mentions).

If you mean tracking individual URLs/pages (rather than a personal brand/company name), the options are a bit narrower—many tools are still optimized around brands and domains rather than “this exact freelance portfolio page.” BlueJar

Yes. What you’re describing is usually called AI visibility tracking, AI search visibility, or GEO/AEO tracking. These platforms repeatedly run the kinds of questions your prospects ask across multiple AI answer engines and measure whether your site/pages are mentioned, recommended, or actually cited.

For a freelancer, I’d look at these:

• ahrefs.com — good if you already use Ahrefs. It checks ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and more. The free checker is useful for getting a baseline.
• citations.io — particularly focused on which URLs get cited, citation share, competitors, and tracking across ChatGPT, Gemini, Perplexity and Claude. Starts at $29/month according to its site.
• koalr.ai — interesting for a solo operator because it distinguishes being mentioned, being cited, and being recommended, rather than collapsing everything into one score.
• scoutllm.ai — tracks visibility across ChatGPT, Gemini, Perplexity, Google AI Overview/AI Mode, with agency/client workspaces and white-label reporting.
• agencyanalytics.com — more agency-oriented, especially if you're eventually managing several clients. It tracks ChatGPT, Google AI surfaces, Claude, Perplexity and Gemini.

The important distinction

If your goal is specifically “How often are my individual website pages being surfaced?”, don't just look for a tool that gives you an AI visibility score.

You want one that records something like:

Prompt: “best freelance UX designer for SaaS startups”
ChatGPT → mentioned, page X cited
Perplexity → not mentioned
Gemini → mentioned, page Y cited
Claude → mentioned, no link
Google AI Overview → page X cited

That page-level citation data is much more actionable than simply knowing that your “AI visibility score” is 42%.

For a solo freelancer, I'd probably start with Citations.io or Koalr, rather than paying for a big enterprise SEO platform. If you tell me what kind of freelancer you are and roughly what you charge per month for your services, I can narrow this down to the 2–3 best options and what I'd actually pay for.

For a solo freelancer, I'd probably start with Citations.io or Koalr, rather than paying for a big enterprise SEO platform. If you tell me what kind of freelancer you are and roughly what you charge per month for your services, I can narrow this down to the 2–3 best options and what I'd actually pay for.

Yes. What you’re looking for is generally called AI visibility / AEO / GEO tracking: software that runs customer-style prompts through multiple AI assistants, records the answer, measures whether your business appears, and—critically—shows which websites/pages the AI cited.

For a local business, I’d shortlist these:

My recommendation for a local business

I'd start with Hypado or Citations.io.

Citations.io is particularly close to your exact requirement. It lets you track the prompts your customers ask across ChatGPT, Gemini, Perplexity and Claude, then see the URLs/domains cited in each answer, competitors that were cited instead, and the actual answer archive. Citations Citations

Hypado is also compelling for local businesses because you can track questions such as “best plumber near me,” “best dentist in Madison,” etc., compare platforms, and see the pages/domains behind citations. hypado.com

If you want maximum AI-provider coverage, MentionScout is worth looking at: it currently advertises tracking across ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude and Grok, with the sources behind citations. MentionScout

One important consideration: don't just buy something that gives you an “AI visibility score.” For a local business, I'd want the software to expose at least:

• Prompt: “best [service] in [city]”
• AI provider: ChatGPT / Gemini / Perplexity / Google AI, etc.
• Your business: mentioned? recommended? cited?
• Citation URL: exactly which page was cited
• Citation position: first source, second source, etc.
• Competitors: who was recommended instead
• Source domains: Yelp, Google, local publications, directories, competitors, etc.
• Location: city/ZIP/service area
• Historical tracking: whether your visibility/citations are improving
• Actual answer: ideally the complete AI response, not just a score

That's especially important because AI citation patterns can differ dramatically between providers. A 2026 analysis of local-SEO brands, for example, found substantial differences in citation volume across ChatGPT, Perplexity, Gemini, Google AI surfaces, Copilot and Grok. Locafy

If your goal is to build a dashboard for multiple local-business clients, rather than just monitor one business, I'd narrow the field differently: MentionScout, Citations.io, Scrunch, or Semrush are more interesting because agency/competitive reporting becomes important. A recent comparison puts Scrunch at 9 AI platforms, while Semrush covers 5 and focuses more heavily on its existing SEO ecosystem. Payline Data

If you tell me whether you're looking for software to use yourself or software to build into/sell as your own local-business SaaS, I can give you the best 3 options and compare pricing, API access, white-label reporting, local/ZIP tracking, and exact citation data.

Hypado is also compelling for local businesses because you can track questions such as “best plumber near me,” “best dentist in Madison,” etc., compare platforms, and see the pages/domains behind citations. hypado.com

If you want maximum AI-provider coverage, MentionScout is worth looking at: it currently advertises tracking across ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude and Grok, with the sources behind citations. MentionScout

One important consideration: don't just buy something that gives you an “AI visibility score.” For a local business, I'd want the software to expose at least:

• Prompt: “best [service] in [city]”
• AI provider: ChatGPT / Gemini / Perplexity / Google AI, etc.
• Your business: mentioned? recommended? cited?
• Citation URL: exactly which page was cited
• Citation position: first source, second source, etc.
• Competitors: who was recommended instead
• Source domains: Yelp, Google, local publications, directories, competitors, etc.
• Location: city/ZIP/service area
• Historical tracking: whether your visibility/citations are improving
• Actual answer: ideally the complete AI response, not just a score

That's especially important because AI citation patterns can differ dramatically between providers. A 2026 analysis of local-SEO brands, for example, found substantial differences in citation volume across ChatGPT, Perplexity, Gemini, Google AI surfaces, Copilot and Grok.

Yes. What you’re looking for is generally called AI search visibility / AEO / GEO software: it monitors whether a local business gets recommended by different AI assistants, what those assistants say, and which websites they cite as sources.

Best options I’d shortlist

LLM Pulse stands out for your exact use case. It explicitly tracks local prompts across ChatGPT, Perplexity, Gemini and Google AI answers, shows the sources AI cites, and lets you compare a business against nearby competitors. LLM Pulse

llmpulse.ai

Local Glyph is another very direct match. It gives a visibility score, platform-by-platform performance, the actual AI response to each prompt, citations, competitors, and accuracy problems with business information. Local Glyph

localglyph.com

If you want to monitor the largest number of AI providers, I'd look closely at Rank Prompt. Its current positioning covers ChatGPT, Perplexity, Google AI Mode/Overviews, Claude, Gemini and Grok, with mention/citation tracking.

rankprompt.com

What I would choose

For one local business, I'd start with:

1. LLM Pulse — best combination of local prompts + competitors + citation sources.
2. Local Glyph — easiest-looking local visibility/citation workflow.
3. Rank Prompt — best if you specifically want lots of AI providers.
4. Scrunch AI — better if you're doing serious AEO/GEO work rather than just local SEO.

One important distinction: don't buy a tool merely because it gives you an “AI visibility score.” The really valuable feature is being able to open a result and see:

Prompt → AI's exact answer → Did it mention the business? → Competitors mentioned → URLs/domains cited → Which source appears repeatedly → Change over time

That source-level information tells you why an AI is recommending a competitor and what you need to improve.

There is also evidence that provider coverage matters: a 2026 analysis of local-SEO brands found substantial differences in citation behavior across ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Copilot and Grok. Locafy

If you tell me whether this is for your own local business, an SEO agency managing clients, or a software product you're evaluating/building, I can narrow this down to the 3 best platforms and compare their pricing, providers, citation tracking, competitor tracking, API/white-label capabilities, and local-search features.

If you want to monitor the largest number of AI providers, I'd look closely at Rank Prompt. Its current positioning covers ChatGPT, Perplexity, Google AI Mode/Overviews, Claude, Gemini and Grok, with mention/citation tracking.

rankprompt.com

What I would choose

If by “track multi-assistant answer positions” you mean monitor where your brand/content appears inside answers from ChatGPT, Gemini, Perplexity, Claude, etc., and see how that changes over time, there are several good options.

My shortlist

• zumihq.com — probably the strongest fit if you want multi-assistant coverage + answer/citation position + historical monitoring. It tracks up to nine AI engines and ranks citations within answers, with daily monitoring and reporting. Zumi
• cite.watch — particularly good for a content team because it exposes average position, share of voice, topics, individual prompts, cited pages, and historical answer data. CiteWatch
• deepsmith.ai — strong if you want to connect monitoring with content production. It tracks ChatGPT, Gemini, Perplexity, Claude and Google AI Mode, saves answers over time, and lets you monitor competitors. DeepSmith
• ahrefs.com — best choice if your team already uses Ahrefs. It tracks AI visibility across ChatGPT, Gemini, Perplexity, Copilot and Google's AI surfaces, including custom prompts and competitor benchmarking. Ahrefs
• marketingminer.com — worth considering if you specifically want average position, sentiment, share of voice and historical evolution on a recurring schedule. Marketing Miner

What I'd choose for a content marketing team

CiteWatch if your primary question is “Where is our content showing up in AI answers, and which pages/sources are winning instead?”

Zumi if you need the broadest multi-assistant monitoring and executive reporting.

DeepSmith if you want a more complete measure → identify content gaps → create content workflow.

One important distinction: AI “position” isn't quite equivalent to Google rank. In an AI answer, the useful measurements are usually mention rate, citation rate, share of voice, citation/source position, and whether competitors are cited instead. Current AI-answer behavior is also volatile, so historical tracking is genuinely important rather than relying on occasional manual checks. axios.com presenc.ai

If you tell me your team size, approximate monthly budget, and whether you care about ChatGPT/Claude/Gemini/Perplexity specifically, I can narrow this to the best 2–3 and compare their pricing and capabilities.

If you mean tracking where your brand/content appears inside answers from multiple AI assistants (ChatGPT, Claude, Gemini, Perplexity, etc.) and seeing historical movement over time, you’re looking for an AI search visibility / answer engine optimization (AEO) tracking platform, not a traditional SEO rank tracker.

Some platforms worth evaluating:

For a content marketing team, I’d shortlist based on your workflow:

• Need editorial insights (“which pages should we improve?”): Look at Zumi, Slate, or Knowatoa. They focus more on citations, sources, and content opportunities. Zumi Knowatoa
• Need brand monitoring and competitor share of voice: Visibility.so or AnswerRadar are closer to an AI version of a rank tracker. Visibility.so AnswerRadar
• Need enterprise reporting for leadership: Zumi or Slate are worth evaluating because they emphasize dashboards and reporting. Zumi Slate

When comparing vendors, I’d check that they can capture:

• AI assistant/model (ChatGPT, Claude, Gemini, Perplexity, etc.)
• Exact tracked prompt
• Whether your brand appeared
• Position/order within the answer (e.g., #1 recommendation vs #5 mention)
• Which URLs were cited
• Competitor appearances
• Trend lines over weeks/months
• Export/API access for your marketing dashboards

A useful KPI set for a content team is usually:

1. AI mention share — how often you appear.
2. Recommendation position — where you appear when listed.
3. Citation share — how often your content is used as a source.
4. Competitor displacement — who appears instead of you.
5. Trend after content changes — whether publishing/updating pages improves AI visibility.

If you tell me your team size (startup vs enterprise), CMS (WordPress, Webflow, HubSpot, etc.), and which assistants matter most, I can narrow this to the best 2–3 options.

Yes. There’s now a fairly active category of software usually called AI visibility, AI search visibility, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization).

The important distinction for an online publisher is that you probably don't just want to know “does ChatGPT mention my publication?” You want to know:

Which questions/prompts cause an AI assistant to surface, cite, or recommend my publication—and which competing publications win those queries?

Several products are getting close to that.

Strong candidates

• ahrefs.com — Tracks visibility across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews, including the topics/prompts that trigger mentions and the domains/pages being cited. This is probably the most natural place to start if you're already using Ahrefs for SEO. Ahrefs
• demandsphere.com — Particularly interesting for publishers because it combines traditional SERP/query analytics with AI visibility. It tracks which queries trigger AI Overviews and which URLs get cited, alongside traditional rankings. DemandSphere
• zumihq.com — More dedicated to cross-engine intelligence. It says it tracks prompts across up to nine engines, including ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, Google AI Overviews and AI Mode, and ranks the citations driving answers. Zumi
• agencyanalytics.com — Tracks ChatGPT, Google AI Overviews/AI Mode, Claude, Perplexity and Gemini, and importantly positions AI visibility alongside traffic and revenue data. AgencyAnalytics
• botscope.ai — Interesting if you want a more granular research product. It explicitly separates recommendation visibility from informational citation, and runs a configurable watchlist of queries across multiple assistants. BotScope
• serply.ai — Goes beyond measurement: it says it finds the questions users ask AI, tracks citations across multiple assistants, and connects those questions to content production. Serply

But there's an important gap for publishers

Most of these tools were built with brands/marketing teams in mind. Their core unit is usually:

brand → tracked prompt → AI answer → mention/citation → competitor

For a publisher, the more interesting data model is:

query/question → assistant → answer → cited sources → publisher/article → referral/traffic → subscription/ad value

For example, imagine a news publisher covering personal finance. You'd want a system that discovers thousands of questions such as:

• “What is the best high-yield savings account?”
• “Is the Fed expected to cut rates this year?”
• “How much should I have saved by age 40?”
• “What happened to mortgage rates this week?”

…and then tells you:

That query-level visibility map is substantially more useful to an editorial organization than a single “AI visibility score.”

There are tools beginning to expose this level of information. For example, citations.io explicitly shows the prompts being run, which answers cite you, who is cited instead, and citation share by prompt and engine. Citations.io

If you're evaluating this as a publisher

I'd divide the market into three levels:

1. SEO suites adding AI tracking — Ahrefs, DemandSphere, etc.

Best if you already have substantial search-query data and want AI visibility layered onto it.

2. Dedicated AI visibility platforms — Zumi, BotScope, Citations.io, etc.

Better if your primary question is “what does AI say when users ask about our subject areas?”

3. A publisher-specific intelligence layer — potentially something you build internally.

This is where it gets really interesting: combine Google Search Console + your article corpus + editorial taxonomy + query discovery + repeated assistant querying + citation extraction + referral analytics.

If you're asking because you're evaluating/building a product in this space, I can also map out what exists today vs. what appears to be missing specifically for digital publishers, including the companies, pricing/business models, and what I'd consider the defensible product opportunity.

There are tools beginning to expose this level of information. For example, citations.io explicitly shows the prompts being run, which answers cite you, who is cited instead, and citation share by prompt and engine.

If you're evaluating this as a publisher

I'd divide the market into three levels:

Yes. There’s now a fairly substantial AI search visibility / GEO (generative engine optimization) software category that does something close to what you’re describing: it runs a library of queries across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode, etc., and records which publishers/sites get mentioned or cited for each query.

For an online publisher, though, I’d distinguish between “brand visibility tracking” and the more interesting question: which queries/topics cause our articles to become sources in AI answers?

Tools worth looking at

• ahrefs.com — probably one of the easiest places to start. It analyzes prompts across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews and reports the topics that trigger visibility plus the domains/pages cited. Ahrefs
• otterly.ai — particularly relevant because it has AI prompt research in addition to monitoring. It tracks which prompts generate mentions/citations and across multiple AI search engines. Otterly
• citations.io — explicitly has a Prompt Intelligence module plus citation intelligence. It tracks prompts across ChatGPT, Perplexity, Gemini and Claude and connects individual AI answers to the sources cited. Citations.io Citations.io
• indexly.ai — interesting for publishers because it tracks the actual citation graph: prompts → AI responses → cited domains, as well as AI referral traffic. Indexly
• citescopeai.com — says it records which query triggered a citation and citation frequency over time. Citescope AI
• reachllm.com — more enterprise-oriented, combining visibility measurement with analysis of the evidence behind AI answers. ReachLLM

The important distinction for a publisher

Suppose you're a news, sports, finance, health, or lifestyle publisher with 100,000 articles.

You don't necessarily want to know:

“How visible is Publisher X in ChatGPT?”

You want something more like:

Then aggregate that into things like:

Top queries driving citations to us

1. “...”
2. “...”
3. “...”

Queries where competitors are cited but we aren't

Topics where we have high Google rankings but low AI visibility

Articles receiving the most AI citations

AI citation share by publisher

That is a much more useful product for an online publisher than conventional “AI brand visibility.”

And the market is moving in this direction: current tools increasingly expose prompt-level data, citation sources, competitors, and topic-level visibility, rather than just giving a single AI visibility score. Citations.io Otterly Indexly

If you're evaluating this for a publisher

I'd specifically ask vendors whether they can provide these five things:

1. Custom query discovery — can they discover queries from your actual search/referral/audience data rather than giving you generic prompts?
2. URL-level citations — not merely “your domain was mentioned,” but which article was cited.
3. Query → answer → citation mapping — so you can identify the exact questions producing citations.
4. Historical tracking — can you see that Article A gained 40 AI citations after publication/update?
5. Publisher-scale ingestion/API — can you feed in tens/hundreds of thousands of URLs and connect the results to your CMS/analytics?

The last two are where I'd expect the biggest gap between today's GEO tools built for brands and something genuinely useful to a large publisher.

If you're asking because you're thinking about building/buying a product for a publisher, I can also map out the current competitive landscape and identify what these tools don't yet do well for publishers.

1. “...”
2. “...”
3. “...”

Queries where competitors are cited but we aren't

Topics where we have high Google rankings but low AI visibility

Articles receiving the most AI citations

AI citation share by publisher

That is a much more useful product for an online publisher than conventional “AI brand visibility.”

And the market is moving in this direction: current tools increasingly expose prompt-level data, citation sources, competitors, and topic-level visibility, rather than just giving a single AI visibility score.

If you're evaluating this for a publisher

I'd specifically ask vendors whether they can provide these five things:

If you mean tracking where AI assistants mention, cite, recommend, or rank a client’s brand across ChatGPT, Gemini, Claude, Perplexity, Copilot, and AI Overviews — then packaging that into client dashboards (GEO/AEO reporting), the best tools right now are:

My shortlist by use case

Best overall for an agency managing many clients

Citations.io
Good fit if your deliverable is:

• Client portal/dashboard
• Monthly AI visibility report
• Citation wins/losses
• Competitor comparison
• “Why did ChatGPT choose them instead of us?” analysis

Citations### Best for enterprise GEO programs

ZENO Visibility or Zumi

• More emphasis on broad platform monitoring
• Better fit when stakeholders want executive dashboards and trend reporting
• Useful if you track many prompts/categories over time

Zeno Visibility Zumi### Best if you want SEO teams to act on the data

Foglift or Veritas

• More actionable outputs: - cited URLs
• missing content opportunities
• competitor sources winning answers
• optimization recommendations

Foglift Veritas## Metrics I would require before buying any platform

A serious client dashboard should show:

• Citation share - % of tracked AI answers citing the client
• Mention share - % of answers naming the brand even without links
• Prompt-level visibility - “For this exact buyer question, who appears?”
• Engine breakdown - ChatGPT vs Gemini vs Claude vs Perplexity
• Competitor citation share - Which competitors are replacing the client
• Source URL analysis - Which pages earn citations
• Historical trends - Weekly/monthly movement
• Evidence snapshots - Stored AI responses, timestamps, and cited sources

If I were building an agency stack

I’d likely pair:

1. AI visibility tracker

→ Citations.io / Zumi / ZENO

2. Traditional SEO data

→ Google Search Console + Ahrefs/Semrush

3. Client reporting layer

→ Looker Studio, AgencyAnalytics, or a custom portal

The main caution: AI answer placement changes frequently, so avoid tools that only give a single “AI visibility score.” The underlying evidence (prompt → answer → citation → competitor) is more valuable than the score itself. Recent shifts in which sources AI systems cite also show how volatile these rankings can be. Business Insider Axios

For a white-label agency dashboard specifically, I’d start by evaluating Citations.io, Zumi, and ZENO Visibility side-by-side. Citations Zeno Visibility Zumi

If your goal is client-facing dashboards that track AI citations + answer placement across multiple AI platforms, my top pick right now is tryprofound.com.

My ranking

1. Profound — best overall for agencies / client reporting

• Tracks ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot, Grok, DeepSeek and others. Profound
• Measures visibility, share of voice, average position, citation share/rank, sentiment, and competitors.
• Particularly strong for citation analysis: you can see which domains/pages are being cited and whether citations go to you or competitors. Profound
• Custom dashboards + public links + PDF exports make it unusually well suited to client reporting. Profound
• You can create a dashboard per client and let clients access continuously updated data without a Profound login. Profound
• peec.ai — best alternative / potentially better UX

• Strong on visibility, position, sentiment, share of voice and citations across ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode. Peec AI Peec AI
• Explicitly supports agencies managing multiple client brands from a dashboard. Peec AI
• I'd seriously demo this alongside Profound if your main use case is GEO/AEO monitoring rather than broader enterprise analytics.
• Otterly.ai — best for a lighter-weight setup

• Worth considering if you don't need the depth of Profound.
• Generally positioned more toward accessible AI-visibility monitoring than enterprise-grade analytics. Current comparisons put it among the leading dedicated AI visibility trackers. CitationDesk

What I'd choose for a client dashboard

For an agency, I'd structure the reporting around:

One important distinction: don't buy a tool solely because it gives you an "AI visibility score." For client reporting, you want the underlying prompt → answer → placement → citation/source data. Profound specifically exposes prompt-level responses and citation data, rather than only an aggregate score. Profound Knowledge Base Profound Knowledge Base

Bottom line

Agency + multiple clients + polished reporting → Profound.

GEO-focused team + strong visibility/citation analytics + simpler workflow → Peec AI.

If you're building this into your own white-label client dashboard, I'd evaluate them differently: API access, raw citation/answer data, historical retention, client/brand segmentation, webhook/export capability, and pricing per tracked prompt become much more important than the dashboard UI.

Yes. What you’re looking for is generally called AI search visibility / AEO (Answer Engine Optimization) / GEO monitoring. The key distinction is that you want page-level citation tracking, not just brand mentions.

My first pick: OtterlyAI

otterly.ai is probably the closest match to your requirements.

It can track:

• AI visibility/rankings across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode, and Copilot.
• Custom buyer prompts over time, so you can monitor questions such as “best [category] for X.”
• Share of voice and competitor position within answers.
• Every cited URL, including which pages on your domain are actually being cited.
• Citation frequency and changes over time.
• Product/AI-shopping results, which is particularly relevant if you have a large product catalog. Otterly Otterly

So you could effectively build a matrix like:

That's much closer to the "which of our product pages are AI assistants using?" question than conventional SEO rank tracking.

Other tools I'd evaluate

• ahrefs.com — strong if you're already an Ahrefs customer. It reports the specific pages cited alongside your brand, as well as visibility by AI platform and topic. Ahrefs
• tryprofound.com — worth looking at for a larger enterprise program; it is specifically focused on measuring how brands and content appear inside AI-generated answers.
• citations.io — simpler option focused heavily on citations, source URLs, visibility and competitor sources across ChatGPT, Gemini, Perplexity and Claude. Citations
• genxtrim.com — particularly interesting if you care about product-level discovery/recommendation, rather than merely whether your corporate brand is mentioned. GenXtrim

One important caveat

Don't define the KPI as simply "AI ranking." AI answers are much less deterministic than Google rankings. A better measurement framework is:

Prompt → AI assistant → brand/product mentioned → position in answer → cited URL → specific product page → competitor cited instead

That lets you answer the commercially useful questions:

1. Which buying questions do we appear for?
2. Which assistants recommend us?
3. Which product/category pages are they using as sources?
4. Which products are being recommended without our pages being cited?
5. Which competitor pages are replacing ours?
6. Which product pages are completely invisible to AI?

For a company with hundreds/thousands of product pages, I'd lean toward OtterlyAI or Profound, rather than a lightweight brand-mention tracker. Otterly in particular explicitly supports URL-level citation tracking and API access, which could let you join AI citation data against your own product catalog. Otterly Otterly

If you tell me roughly how many product pages you have and which AI assistants matter (ChatGPT, Gemini, Perplexity, Copilot, etc.), I can narrow this to the best 2–3 tools and compare their page-level tracking, API, scale, and pricing.

Yes. What you’re describing is generally called AI search / answer-engine visibility monitoring (AEO/GEO), and there are now tools that go beyond simply tracking whether your brand is mentioned.

Best fit: tryprofound.com

I’d put Profound at the top of your shortlist if the key requirement is:

“For each product page, tell me which AI assistants cite it, for which prompts, and how that compares with competitors.”

Its Pages product combines page-level citation data with AI-agent activity. You can see which individual URLs are being cited, the prompts/topics/platforms generating those citations, citation share/rank, and trends over time. Profound Knowledge Base Profound

It also monitors the front-end experiences of ChatGPT, Perplexity, Claude, Google AI Overviews/AI Mode, Gemini, Copilot, Grok and DeepSeek, rather than relying solely on API-generated answers. Profound

Strong alternative: scrunch.com

Scrunch is particularly interesting for the second half of your question—mapping the relationship between AI answers → citations → your URLs.

Its citation reporting lets you drill down from a cited URL to the prompts that cited it and see which AI platforms cite that page. Scrunch Help Center Its Site Maps feature also gives a page-level view including citations, AI-bot traffic, AI referrals and page health. Scrunch Help Center

It currently monitors nine major platforms, including ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok and Meta AI. Scrunch Help Center

How I'd evaluate them

My recommendation: if you're running a sizable product catalog, start by evaluating Profound vs. Scrunch, with particular attention to their ability to export a dataset like:

Product URL → Product → Prompt → AI assistant → Mentioned? → Position → Cited? → Citation rank → Competitor cited → Date

That's the data model I'd want behind an “AI shelf/ranking” dashboard for your product catalog. Profound's page-level reporting looks especially aligned with that use case. Profound Knowledge Base

If you tell me roughly how many product pages you have and which AI assistants matter most (ChatGPT, Gemini, Perplexity, Claude, etc.), I can narrow this down to the 2–3 tools I'd actually trial and explain what each can/can't map at the URL level.

Yes. There are now several tools specifically built to track AI-answer visibility across multiple assistants/models and export the underlying data for an analytics team.

A few worth evaluating:

• visiblee.ai — Tracks ChatGPT, Claude, Perplexity, Gemini, Grok, and others. It offers CSV/Excel exports plus a REST API, so it looks particularly suitable if your analytics team wants to ingest the data into a warehouse or BI stack. Visiblee
• botscope.ai — Captures full model responses, citations and metadata across ChatGPT, Claude, Gemini, Google AI Overviews, Copilot and Perplexity, with a REST API and MCP server. BotScope
• tryprofound.com — More enterprise-oriented; tracks visibility, share of voice, citations and responses, with raw CSV export. Profound
• traivis.app — Tracks ChatGPT, Claude, Gemini, Grok and Perplexity, retains answer history, and provides JSON and CSV exports on its higher tier. Traivis
• elmohq.com — An open-source/self-hostable option. It tracks multiple answer engines and lets you run the data collection on your own infrastructure, which could be attractive if analytics/data governance is important. Elmo

What I'd look for

If by "multi-assistant answer visibility" you mean something like:

For the same 500 prompts, what did ChatGPT, Claude, Gemini, Perplexity, etc. answer, whether our brand appeared, our position/share of voice, which competitors appeared, and which sources were cited?

then I'd prioritize a tool that exposes raw answer-level data, not just a proprietary "AI visibility score."

Ideally your analytics team gets fields such as:

timestamp | assistant | model | prompt | full_answer | brand_mentioned | position | competitors | citations | source_domains | sentiment | country | run_id

That makes it possible to calculate your own metrics and join visibility data with your existing web/CRM/marketing data.

Visiblee and BotScope stand out for this particular analytics use case because they explicitly offer API access in addition to exports. Visiblee BotScope

If you tell me whether you need API access, BigQuery/Snowflake integration, historical answer storage, or just CSV exports, I can narrow this to the best 2–3 options and compare them.

Yes. What you’re describing is generally called AI visibility / GEO (Generative Engine Optimization) tracking: repeatedly running the same prompts across multiple assistants and measuring whether, where, and how your company appears.

A few platforms are particularly relevant if your engineering team needs API access, not just a marketing dashboard:

• llmpulse.ai — Probably one of the closest matches. Its API exposes brand mentions, citation sources, sentiment, share-of-voice, and visibility data across ChatGPT, Perplexity, Gemini, and other LLMs. It explicitly supports building your own dashboards/ETL pipelines. LLM Pulse
• demandsphere.com — More enterprise-oriented. Provides REST endpoints for mentions, citations, full responses and sentiment, plus webhooks. It says it covers 10+ AI platforms. DemandSphere
• mentionsapi.com — Developer-focused and relatively lightweight. One API can query ChatGPT, Claude, Gemini and Perplexity, with structured brand rank, sentiment, surrounding context and cited URLs. MentionsAPI MentionsAPI
• seranking.com — Established SEO platform with an AI visibility API covering ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode. Useful if you want AI visibility alongside traditional SEO data. SE Ranking
• getmentioned.co — API access to prompt-level visibility, competitor benchmarks, and source/citation tracking across ChatGPT, Perplexity and Gemini. GetMentioned
• elmohq.com — Interesting if you want to self-host. It's open source and tracks ChatGPT, Google AI Overviews, Perplexity, Gemini, Copilot and Grok, so your team can control the data pipeline. Elmo

What I'd look for for an engineering integration

Rather than just a dashboard that says "AI visibility = 62%," I'd prioritize a platform whose API gives you the underlying answer-level data:

Prompt
  ↓
AI assistant / model
  ↓
Raw answer
  ├── Your brand mentioned?       yes/no
  ├── Position / rank             2
  ├── Competitors mentioned       A, B, C
  ├── Sentiment                   positive
  ├── Citation URLs               ...
  ├── Citation position           3
  ├── Model / engine              ChatGPT
  └── Timestamp                   ...

That lets your engineers build your own internal analytics, alerts, experimentation system, or even feed the data into your product.

If API-first is the priority, I'd start by evaluating LLM Pulse, DemandSphere, and MentionsAPI. LLM Pulse looks particularly interesting for a team that wants the platform's dashboard metrics and API to stay in sync; it explicitly advertises UI-to-API parity. LLM Pulse

One important distinction: if by “multi-assistant answer placements” you mean actual placement in the responses users receive (e.g. "we're #2 in ChatGPT for this prompt, #1 in Perplexity, #4 in Gemini"), rather than simply tracking mentions, I can also compare the major platforms specifically on answer position, citation position, historical snapshots, prompt scheduling, raw-answer access, API/webhooks, and pricing.

Yes. What you’re describing is generally called AI visibility / AEO (Answer Engine Optimization) tracking: monitoring how a company/product is positioned inside answers from ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, etc., including mention rank, citations, competitors, prompts, and historical changes.

A few platforms now expose APIs specifically for engineering teams:

• searchfit.ai — REST API for AI visibility, share of voice, prompt-level rankings, and AEO reports across ChatGPT, Perplexity, Gemini, and Google AI Overviews. SearchFIT
• demandsphere.com — particularly interesting if you need raw data: mentions, citations, citation position/context, and full AI responses through REST endpoints. It also advertises webhooks. DemandSphere
• honeyb.ai — API-oriented AI rank tracking across ChatGPT, Gemini, Claude, Perplexity and other engines, with evidence attached to results. Honeyb
• seranking.com — structured API data across ChatGPT, Gemini, Perplexity, AI Overviews and AI Mode; useful if you're already using traditional SEO infrastructure. SE Ranking
• getmentioned.co — prompt-level answers, competitor benchmarks, and the domains/URLs influencing AI answers; explicitly designed for dashboards, BI and internal alerting. GetMentioned
• ziptie.ai — notable for engineering use because it advertises a public REST API and MCP, exposing prompts, responses, mentions, citations and metrics programmatically. ZipTie.ai - AI Search Intelligence

If by "answer placements" you mean something more specific

I'd distinguish three levels:

Several of these platforms do the first two. DemandSphere looks especially aligned with the third, since its API explicitly exposes citation position and surrounding context. DemandSphere

For an engineering team, I'd prioritize raw prompt → engine → answer → entities → citations → position → timestamp rather than buying a dashboard whose primary output is a proprietary “AI visibility score.”

If you tell me what you're trying to track (e.g. your SaaS being recommended in ChatGPT/Claude, your content being cited, or competitor/product placement), I can narrow this to the 3 best APIs and compare their coverage, pricing, API capabilities, and data model.