Answers that do not mention Peec AI

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 multiple client brands, I’d shortlist these:

My pick: OtterlyAI

For your particular use case, OtterlyAI looks like the strongest starting point. It runs the same prompt set across multiple AI engines and records the actual answers, including brand position/order, mentions, sentiment, competitors, and the URLs being cited. Its current coverage includes ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot and Claude. otterly.aiotterly.ai

That's important because I'd avoid tools that give you merely a generic "AI visibility score." For an agency, you want to be able to tell a client:

"You appeared in 38% of the relevant AI answers this month, up from 24%. Competitor X appeared in 51%, and these 12 websites were responsible for most of the citations."

Otterly specifically supports citation-level tracking, competitor comparison, reports/exports and an agency program. Its published entry price is currently around $29/month, although you'll want to check the actual multi-client/agency pricing before choosing it. otterly.aiotterly.ai

Best cheap/simple alternative: Citations.io

If your agency mostly wants "Are we getting mentioned and cited, and who is being cited instead?", I'd also test Citations.io.

It currently tracks ChatGPT, Gemini, Perplexity and Claude and shows the underlying cited URLs, competitor share of answer, and citation trends. It advertises plans starting at $29/month. citations.io

It's less attractive if you need broad Google AI coverage or a sophisticated agency reporting workflow.

Where Semrush makes sense

If you're already paying for Semrush for conventional SEO, its AI visibility functionality is worth evaluating before adding another SaaS subscription. Semrush's current positioning combines AI visibility with its existing SEO/content workflow. www.semrush.com

I'd choose it when AI visibility is an extension of your existing SEO reporting, rather than when citation monitoring itself is the agency's core requirement.

One important caveat

"AI ranking" isn't really analogous to Google rank #1. The useful measurements are usually:

• Mention rate — how often the client appears
• Recommendation/rank position — where they appear when multiple brands are recommended
• Citation rate — how often the client's site gets cited
• Citation share — client's share versus competitors
• Competitor displacement — who appears when the client doesn't
• Sentiment/context — how the AI describes the client
• Prompt-level trends — which specific commercial questions are being won/lost

That's particularly important because AI citation patterns can change substantially over short periods; recent data, for example, showed a sharp change in Reddit's share of ChatGPT citations within weeks. www.axios.com

If I were setting this up for a 5–20 client agency, I'd trial OtterlyAI and Citations.io side-by-side on the same 30–50 prompts for one client. Compare the raw answers/citations, not just the dashboards. Whichever gives you the most defensible client report wins.

If you tell me roughly how many clients/domains you need to monitor (e.g. 5, 20, 50+) and your monthly budget, I can narrow this down to the best 2–3 and compare actual agency pricing, number of prompts, seats, white-label reporting, API access, and historical data.

Yes. This is now a fairly well-defined category usually called AI visibility, GEO (generative engine optimization), or AI share of voice.

For an ecommerce site, I’d look at these:

• zumihq.com — probably the broadest option I found. It tracks up to 9 AI engines, including ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, Google AI Overviews/AI Mode, and DeepSeek. It explicitly reports share of voice vs. competitors, mention rate, position, and citations. Zumi Zumi
• searchmention.com — particularly interesting for ecommerce. It runs real buyer/product prompts, tracks which products get recommended, competitor wins, citations, and share of voice. It supports Shopify and other storefronts. SearchMention
• citelyhq.com — explicitly ecommerce-focused, with SKU-level visibility, competitor tracking, and platform breakdowns across ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews. Citely
• brandofy.ai — tracks brand and product mentions across ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, with share-of-voice and citation metrics. It positions itself specifically for DTC/ecommerce. Brandofy
• indexly.ai — useful if you also care about AI referral traffic, in addition to share of voice, citations and sentiment. It covers ChatGPT, Claude, Gemini, Perplexity, Grok and AI Overviews. Indexly

What I'd look for specifically

If you're trying to answer "What percentage of AI shopping conversations does my ecommerce brand/product capture versus competitors?", don't settle for a generic brand-mention monitor.

The important dimensions are:

The last distinction is important: AI share of voice isn't necessarily the same thing as AI traffic or revenue. For example, a brand could have 30% SOV but be cited without getting many clicks.

If you're evaluating this as a potential product category

There is definitely a gap between "AI visibility monitoring" and a true "AI ecommerce market-share dashboard."

The ideal dashboard would let a merchant enter their domain and automatically build something like:

AI Market Share — Running Shoes
Nike 31% · Hoka 24% · Brooks 18% · Your brand 11% · ASICS 9% · Other 7%

ChatGPT: 14%
Gemini: 8%
Perplexity: 16%
Claude: 10%

Lost share this week: -3.2 pts
Biggest winner: Hoka +4.1 pts
Products losing visibility: 7
Queries where competitors replaced you: 43

There are platforms getting fairly close to this. Zumi is strongest for breadth of AI engines and competitive SOV, while SearchMention/CitelyHQ look more purpose-built around ecommerce products and shopping queries. Zumi Citely SearchMention

If you're asking because you're considering building something in this space, I can also map out the existing competitors, their pricing/features, and where I think the underserved opportunity is.

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. 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, LLM citation tracking, or GEO (Generative Engine Optimization) monitoring. These tools don’t literally “crawl AI assistants” the way Googlebot crawls the web; instead, they typically run tracked prompts through AI answer engines, capture the responses, and record whether your domain/pages are mentioned or cited. Slate Link Building Journal

Tools worth looking at:

• ahrefs.com — Tracks brand visibility across ChatGPT, Gemini, Perplexity, Copilot, and Google AI surfaces; shows cited domains/pages in its reporting. Ahrefs
• otterly.ai — Focused on AI search monitoring; tracks mentions and citations across major AI answer engines. Distribution.studio
• allsearch.io — Specifically separates AI “sources,” citations, and mentions, which is useful if you care about whether a page was actually linked. AllSearch
• citations.io — Tracks which prompts produce citations, which URLs appear, and competitor visibility. Citations.io
• surva.ai — Captures AI responses, cited URLs, and citation position across several assistants. Surva.ai

For a content/SEO team, the dashboard you probably want looks like:

A few caveats:

• AI answers are not deterministic, so good tools track many repeated prompts over time, not one-off checks. SERPs
• Being mentioned is different from being cited. A model can use your information without linking to your page. AllSearch
• There is no universal “AI crawler index” equivalent to Google Search Console; these products generally build their own monitoring datasets by querying assistants and collecting outputs. Slate

If your goal is specifically “which of our URLs are being used as sources by ChatGPT/Claude/Perplexity, for which user questions?”, I’d prioritize tools that expose prompt → answer → cited URL, rather than just a brand visibility score. AllSearch Surva.ai

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.

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

The important distinction is that these tools don’t really track “keywords” the way Google SEO tools do. They track buyer prompts—e.g. “best payroll software for startups”—across multiple AI systems and tell you whether your brand appears, where it appears, which competitors appear instead, and which sources the AI cites.

Strong options

Ahrefs, for example, says Brand Radar can identify the topics/prompts that trigger your brand, compare competitors, and show the domains/pages being cited. ahrefs.com

Rank.ai is closer to your exact wording: you define questions your buyers ask, and it reruns those prompts across providers daily, giving you prompt-level tracking. www.rank.airankscale.aichatobserver.com

Rankscale claims tracking across 17+ AI engines, including ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews and DeepSeek. rankscale.ai

What I would look for

If your goal is “tell me which queries our brand ranks for across conversational AI”, I'd prioritize software that gives you:

1. Prompt discovery — automatically finds the questions people are likely to ask about your category.
2. Prompt-level history — “We were #2 for this question last month, now we're #5.”
3. Share of voice — your brand vs. competitors across the same prompts.
4. Engine-by-engine results — ChatGPT ≠ Gemini ≠ Claude ≠ Perplexity.
5. Citation/source analysis — what websites are causing the AI to recommend your competitors.
6. Custom prompts — ability to add your own high-value queries.
7. Geographic tracking — particularly important if your customers' AI answers vary by market.
8. Alerts when an important prompt changes.

One caveat: AI “rankings” aren't equivalent to Google rankings. Some AI answers don't have a stable #1–#10 ordering, and responses can vary between runs. The better platforms therefore report a combination of mention rate, position, share of voice, citations, and recommendation frequency rather than pretending there's a conventional keyword rank. Chatobserver explicitly makes this distinction. chatobserver.com

If you tell me your company type (e.g. SaaS, ecommerce, local business, agency) and roughly how many brands/products you need to monitor, I can narrow this to the 3 best options and compare pricing/features.

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.

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. The category is usually called AI visibility tracking, GEO (Generative Engine Optimization) tracking, or AEO (Answer Engine Optimization) monitoring. These tools are designed to answer questions like:

• “When someone asks ChatGPT, Gemini, Claude, or Perplexity for a freelancer/service provider, does my site appear?”
• “Which pages from my site are being cited?”
• “How often am I mentioned versus competitors?”
• “Which prompts cause me to disappear?”

Some options that may suit a freelancer:

For a solo freelancer, I would focus less on a generic “AI score” and more on whether the tool can track your actual client-search prompts, for example:

• “best freelance UX designer in Scotland”
• “hire a freelance copywriter for SaaS”
• “who can build a Shopify store for a small business”
• “freelancers specialising in [your niche]”

The most useful metrics are:

1. Mention rate — how often your name/site appears.
2. Citation rate — how often AI links to your pages as a source.
3. Competitor share of voice — who appears instead of you.
4. Page-level citations — which articles/service pages are helping you get surfaced.

A practical low-cost approach is:

• Pick 10–20 questions your ideal clients would ask AI.
• Run them monthly through one of these platforms.
• Improve the pages AI repeatedly ignores.
• Build authoritative pages that are easy for AI systems to quote (clear services, examples, pricing guidance, FAQs, case studies).

If you mean “track whether my own website pages are being cited by AI answers” specifically (rather than whether your brand is mentioned), the shortlist changes slightly.

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

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 tools that can track and export multi-assistant answer visibility data for analytics teams, though the right choice depends on what you mean by “visibility” (brand mentions in AI answers, assistant usage analytics, response quality, citations, etc.).

For AI answer visibility across multiple assistants (for example, ChatGPT, Claude, Gemini, Perplexity), look at AI visibility/GEO tracking platforms. Common capabilities include:

• Tracking the same prompts across multiple assistants
• Capturing the generated answers
• Measuring whether a brand/product/entity appears
• Tracking position/rank, sentiment, citations, and competitors
• Exporting CSV/JSON data for BI tools or internal dashboards

Examples:

• Visiblee provides exports, integrations, and API-style access for visibility data across assistants. Visiblee
• Gumshoe supports CSV and JSON exports containing tracked prompts, answers, citations, and visibility metrics. Gumshoe
• GEO AI Mention focuses on per-prompt analysis, storing answers, citations, mentioned entities, and offering raw exports/API access. Geo AI Mention

For an analytics team, I’d look for these export fields:

If you mean internal assistants that your company operates (multiple custom AI assistants, not public LLMs), analytics platforms often expose conversation-level exports instead—tracking assistant usage, interactions, and outcomes. For example, some enterprise assistant platforms provide filtered analytics exports by assistant. Atlassian

If you can clarify whether you mean:

1. tracking your brand’s visibility in public AI assistants, or
2. tracking usage/answers from your own deployed assistants,

I can narrow this down to the best-fit tools and architecture.

Yes. If by “multi-assistant answer visibility” you mean tracking how often your brand/product appears in answers from ChatGPT, Claude, Gemini, Perplexity, etc., there are now dedicated AI visibility / GEO tracking tools.

A few examples:

• Traivis — runs the same prompts across multiple AI models, captures the actual answers, tracks visibility over time, and offers JSON/CSV exports for analytics. Traivis
• Scout LLM — tracks visibility score, share of voice, and average position across ChatGPT, Gemini, Perplexity, Google AI Overview/AI Mode, with daily measurement. Scout LLM
• Truffle — tracks ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Overviews, including mentions, citations, position, competitors, and historical trends. Truffle
• Genwolf — focuses on daily prompt tracking, answer history/comparison, mentions, citations, sentiment, and source/domain analysis. Genwolf

If you mean ChatGPT usage inside your organization

That's a different category. ChatGPT Enterprise/Edu Workspace Analytics provides aggregate usage/adoption data and CSV exports for users, GPTs, projects, and impact surveys. It does not provide a raw answer-level visibility dataset; OpenAI says raw logs require the Compliance API. OpenAI Help Center OpenAI Help Center

So, for an analytics team wanting something like:

prompt → assistant → answer → brand mentioned? → position → citation → competitor → timestamp → market

I'd look at an AI visibility/GEO platform, rather than ChatGPT's native workspace analytics.

If you tell me whether you're trying to track your company's public visibility in AI answers or internal employee usage of multiple assistants, I can narrow this down to the best 3–5 options and compare their export/API capabilities.

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.