Answers that do not mention Peec AI

If you mean one dashboard that monitors how your website/brand appears across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode, and Copilot, the main tools to look at are:

• otterly.ai — tracks ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Microsoft Copilot, and Claude, with mentions, citations, competitors, and visibility trends in one dashboard. Otterly Otterly AI
• tryprofound.com — more enterprise-oriented; combines AI visibility, citations, prompt demand, sentiment, and AI crawler/agent analytics. TechnologyAdvice
• llmrefs.com — particularly focused on broad AI-platform coverage; current comparisons report 11 AI surfaces, including ChatGPT, Perplexity, Claude, Gemini, Grok, Meta AI, and DeepSeek. AY Rank
• runtruffle.com — gives a single visibility score plus per-assistant visibility, position, sentiment, citations, and competitor tracking. Truffle

If your requirement is specifically “put my website in once and see how AI assistants describe/recommend/cite it across multiple engines,” OtterlyAI is probably the closest direct match. It explicitly runs your chosen prompts across multiple AI experiences and reports brand mentions and website citations. Otterly

If you tell me your budget and whether you're an agency, SaaS/company, or SEO team, I can compare the top 3 on price, AI engines, citation tracking, competitor tracking, historical trends, and API/reporting.

A few tools now do this. OpenLens and Ahrefs Brand Radar are notable options: they aggregate brand visibility across multiple AI answer engines and show mentions, citations, competitors, and trends in one dashboard. OpenLens Ahrefs

• OpenLens — ChatGPT, Claude, Gemini, Google AI, Perplexity, Grok, DeepSeek. OpenLens
• Ahrefs Brand Radar — ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews/Mode, plus broader visibility data. Ahrefs
• SearchInsight AI — adds Grok and Copilot to its cross-platform monitoring. searchinsight.ai

If you tell me your budget and whether you're an SEO team, agency, or in-house marketing team, I can compare the leading options.

If you mean “one dashboard that monitors how our website/brand is represented across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews/AI Mode, etc.”, there are several tools built specifically for this.

My shortlist

• Ahrefs Brand Radar — probably the strongest established option. It tracks AI visibility across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode, including mentions, citations, competitors, and custom prompts. Ahrefs

ahrefs.com

• Surva.ai — particularly relevant if you want ChatGPT + Claude + Gemini + Perplexity + Google AI Overviews in a single visibility dashboard, with visibility score, share of voice, competitors, and trends. Surva.ai

surva.ai

• SearchInsight AI — broader engine coverage, including ChatGPT, Claude, Perplexity, Gemini, Grok, Copilot, Google AI Mode and AI Overviews. SearchinSight AI

searchinsight.ai

• Allmond — simpler, newer option focused on AI visibility across ChatGPT, Claude, Gemini and Perplexity, including automatically generated buyer prompts, competitor discovery and citation opportunities. Allmond

allmond.app

• Presence Scout — useful if you want traditional Google SEO rankings and AI visibility in the same dashboard. It tracks ChatGPT, Gemini, Perplexity, AI Overviews and AI Mode alongside Google rankings. Presence Scout

presencescout.com

If I were evaluating these for a marketing team, I'd start with Ahrefs Brand Radar and Surva.ai. If maximum AI-engine coverage is the priority, SearchInsight AI is worth looking at.

If you tell me your company size/budget and which assistants matter most, I can compare the top 5 on price, platforms tracked, prompt frequency, citations, competitor tracking, and reporting.

Yes. This category is usually called AI visibility, GEO/AEO tracking, or AI Share of Voice (SOV). There are now several platforms that specifically measure how often an ecommerce brand/product appears in answers from multiple AI assistants.

A few worth looking at:

• Profound — enterprise-oriented AI visibility platform; tracks brand presence across conversational/search AI surfaces and competitor visibility. It’s one of the platforms specifically identified for ecommerce use. ecommerceguide
• Search Atlas LLM Visibility — tracks visibility, sentiment, competitors, and share of voice across LLMs including ChatGPT, Gemini and Perplexity. SearchAtlas
• Birdeye AI Search — particularly interesting if you want a dashboard showing SOV by assistant. It supports ChatGPT, Gemini, Perplexity and has expanded coverage to Google AI Mode, AI Overviews, Grok and Claude. Birdeye Help Center Birdeye Help Center
• SkuLift — explicitly defines AI SOV around the percentage of generative answers mentioning/citing your brand, with tracking across ChatGPT, Claude, Perplexity and Gemini. SkuLift
• CrowdReply — focuses specifically on AI SOV, with breakdowns by LLM, prompt category and intent, plus competitor comparisons. CrowdReply
• SearchDock — interesting if you want a more rigorous measurement approach: repeated runs of the same prompts across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews, then SOV calculated from the stored results. SearchDock
• Verity Score — has an ecommerce/Shopify orientation and measures AI SOV across multiple assistants, including ChatGPT, Perplexity, Gemini, Claude and Mistral. Verity Score

What I'd look for specifically for ecommerce

The important distinction is whether the platform merely counts brand mentions or actually measures competitive share of recommendation.

For example, you want something like:

And then ideally:

AI SOV → by assistant → by category → by prompt/intent → by product → over time

You also want citations/source attribution, because "ChatGPT mentioned us" and "ChatGPT recommended our product and cited our PDP" are very different outcomes.

There are also ecommerce-specific approaches emerging around product-level visibility, rather than just brand-level visibility. For example, SearchMention says it tracks whether stores are cited in actual shopper/product-recommendation prompts. searchmention.com

If you're evaluating this for an ecommerce business, I can also give you a shortlist of the 5–7 platforms that are actually strongest for ecommerce, with pricing, assistants covered, Shopify support, product-level tracking, SOV methodology, and API availability.

Yes. This category is usually called AI Search Visibility, Generative Engine Optimization (GEO) tracking, or AI Share of Voice. Several platforms now measure how often an ecommerce brand appears in recommendations across assistants like ChatGPT, Gemini, Claude, and Perplexity. CrowdReply AskLab

Examples:

• Profound — enterprise-focused AI visibility tracking.
• crowdreply.io — tracks brand mentions, citations, and competitor share across AI models.
• citelyhq.com — ecommerce-oriented tracking with product-level visibility.
• asklab.ai — monitors recommendations, citations, sentiment, and share of voice.
• foglift.io — tracks AI recommendations and competitor positioning.

For ecommerce, look for these features:

• SKU/product-level tracking (not just brand mentions)
• Shopping-query prompt sets (“best running shoes under $150”)
• Assistant breakdowns (ChatGPT vs Gemini vs Perplexity, etc.)
• Competitor share-of-answer metrics
• Citation/source analysis (which sites AI assistants rely on)
• Historical trends

The space is still immature compared with SEO tools, so many vendors are effectively creating their own “AI visibility score.” foglift.io The most useful metric is usually: % of relevant buyer-intent AI answers where your products appear vs competitors. actowizmetrics.com

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

These tools don't literally crawl every AI assistant continuously. Instead, they run a set of queries against AI answer engines, capture the responses and cited sources, and tell you which domains/pages are being used.

A few that look particularly relevant:

• Ahrefs Brand Radar / AI Visibility Checker — tracks ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews, including the specific pages cited alongside your brand. Ahrefs
• Citations.io — tracks ChatGPT, Gemini, Perplexity and Claude and explicitly shows the exact domains and pages AI engines cite. Citations
• PageLens — particularly focused on identifying which source pages models use, with daily tracking across ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, Grok and Copilot. PageLens
• CiteScope — lets you specify URLs and keywords and tracks citations across ChatGPT, Perplexity and Gemini, including the exact queries, answers and sources. Citescope AI
• Indexly — interesting if you care about analytics as well: it tracks the full source lists used by AI engines and can connect AI referrals back to landing pages. Indexly
• Foglift — monitors prompts, engines, cited URLs, competitors and changes over time across five major AI surfaces. Foglift

If your question is specifically "which of our pages are AI assistants using?"

I'd look for a tool with this data structure:

Prompt → AI engine → answer → cited URL → your page → competitor's cited page

That's more useful than a generic "AI visibility score."

For example, you ideally want to be able to discover:

User asks: "best accounting software for startups"
ChatGPT → cites /guides/accounting-software
Perplexity → cites /blog/startup-accounting
Gemini → doesn't cite you
Competitor → cited 7 times across the same prompt set

Ahrefs and PageLens look especially close to that use case, while CiteScope/Citations.io are more explicitly citation-centric. Ahrefs PageLens Citescope AI Citations

One important distinction: there isn't currently a universal "crawl all AI assistants and tell me every time any model ever used my page" index. Most products sample predefined/AI-generated prompts and query the engines repeatedly. So coverage depends heavily on the prompt set and the particular AI surfaces they monitor.

If you're evaluating this for your own website/SEO product, I can also map out what data these tools actually collect, how they detect citations, and which ones have an API/white-label capability.

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

These tools generally do one of two things:

1. Citation/source tracking — “Which of our URLs are being used as sources in AI answers?”
2. Prompt monitoring — “When someone asks AI about our category, are we mentioned, cited, or ignored?”

Some tools that do this:

A typical workflow looks like:

1. Enter your domain.
2. Define the questions your customers ask AI assistants (e.g., “best accounting software for startups”).
3. The tool runs those prompts periodically.
4. It records:

• whether your brand appears
• which of your URLs were cited
• which competitors were cited instead
• which AI engines mention you
• trends over time

A few caveats:

• There is no universal crawl log showing “ChatGPT used page X 10,000 times.” AI providers generally do not expose that level of usage data.
• Most tools estimate visibility by repeatedly testing prompts and collecting cited URLs, not by directly observing every AI answer generated worldwide. RankingHacks
• If you specifically care about “which of our pages are being retrieved by AI crawlers” rather than citations, you’ll also want server-log analysis for bots like GPTBot, ClaudeBot, and PerplexityBot. Some AI visibility tools include crawler-access monitoring. serpclimber.com

If you mean “we own a website and want a dashboard showing every URL of ours that appears in ChatGPT/Perplexity answers”, I’d look specifically at citation-tracking tools rather than general AI SEO suites. allsearch.io Trendos

Yes. The category is usually called AI visibility tracking, AI citation tracking, GEO (Generative Engine Optimization) monitoring, or answer engine optimization (AEO) tools. They don’t literally crawl all AI assistants (most don’t expose that capability); instead they run tracked prompts against AI systems and record whether your brand/pages are mentioned or cited. CitePrism Veritas

Tools to look at:

• ahrefs.com — tracks visibility across ChatGPT, Gemini, Perplexity, Copilot, and Google AI surfaces; reports cited domains/pages. Ahrefs
• citeprism.com — focuses on which assistants mention you, which sources they trust, and the cited pages behind answers. CitePrism
• getveritas.io — tracks citations and competitor pages across major AI answer engines. Veritas
• botscope.ai — monitors how AI systems describe a brand and which pages get cited. BotScope

For a company website, the useful reports are usually:

• “Which URLs from our domain were cited?”
• “For which prompts/questions?”
• “Which AI assistant used them?”
• “Which competitor pages replaced us?”
• “What topics have no AI visibility yet?”

If you mean “find every time any AI assistant anywhere uses our pages”, no tool can reliably do that today because ChatGPT, Claude, Gemini, etc. do not provide a global citation log. The closest approach is prompt monitoring plus server analytics (AI crawler traffic, referral logs, and indexed-content monitoring). CitePrism rank.ai

Yes. The category is usually called AI visibility tracking, AI search monitoring, AEO (Answer Engine Optimization) tracking, or AI citation tracking. These tools don’t usually “crawl AI assistants” in the same way a search crawler crawls the web; instead, they run controlled prompts against AI assistants, capture the answers, and analyze:

• which of your URLs/domains are cited
• which pages competitors get cited instead
• which prompts cause your pages to appear
• which AI engines mention you (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, etc.)
• trends over time Ahrefs Prism

Some tools in this space:

• ahrefs.com — tracks brand visibility across AI answers and reports cited domains/pages. Ahrefs
• citeprism.com — focuses on what AI assistants recommend, what sources they trust, and which domains are cited. CitePrism
• mentionscout.com — tracks AI answers, citations, competitor appearances, and cited URLs. MentionScout
• citations.io — monitors prompts and separates mentions from actual URL citations. Citations
• searchprism.io — stores AI answers and analyzes cited URLs and sources. Prism

A few things to keep in mind:

• They usually track prompts, not every possible AI conversation. They might monitor “best CRM for startups” or “alternatives to X,” but they cannot know every private ChatGPT conversation where someone mentions your site.
• Citations and mentions are different. An AI may use your content internally or summarize it without linking to you; some tools try to distinguish those cases. AllSearch
• You’ll want page-level data, not just “brand visibility.” The useful report is something like: > Prompt: “best accounting software for nonprofits”

AI: ChatGPT
Answer cited: /features/nonprofit-accounting
Competitor cited instead: /comparison/foo-vs-bar

If you are asking from an SEO/content team perspective, the closest equivalent to “Google Search Console for AI answers” is an AI citation tracker rather than a crawler. Citations AllSearch

I can also outline how to build a lightweight internal version (crawler + prompt runner + citation database) if you’re looking to do this at scale.

If you mean “alert me when ChatGPT, Claude, Gemini, Perplexity, Copilot, Google AI Overviews, etc. cite my website/content as a source”, you’re looking for an AI visibility / AI citation monitoring (AEO/GEO) tool. These are the main categories and options: TechnologyAdvice Unite.AI

A few things to check before choosing:

• Citation alerts vs mentions: Some tools tell you “your brand appeared”; fewer tell you “this exact URL from your site was cited as the source.” Those are different signals. Ahrefs CitePrism
• Coverage: Confirm the assistants you care about (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Copilot) are included. MentionScout CitePrism
• Prompt monitoring: The best systems usually let you define the questions your customers ask and alert you when your visibility changes for those queries. MentionScout

If your goal is specifically “email/Slack alert me whenever an AI assistant cites one of our URLs”, I’d shortlist MentionScout, Profound, Scrunch, and CitePrism based on citation-focused features. TechnologyAdvice MentionScout CitePrism

If you tell me your stack (enterprise SEO team, content marketing, SaaS, publisher, ecommerce, etc.) and which assistants matter most, I can narrow it down.

If by “cited” you mean your actual articles/pages being used as sources in AI-generated answers, rather than merely your brand being mentioned, there are several good tools now.

Best options

• tryprofound.com — probably the strongest choice if your goal is enterprise-level monitoring of citations across answer engines. It tracks AI answers, source citations, prompt visibility, competitors, and related AI-search analytics. TechnologyAdvice
• otterly.ai — particularly focused on mentions + citations. It tracks ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude, including the specific URLs cited. Otterly Otterly
• ahrefs.com — best if your team already uses Ahrefs. It tracks which pages/domains are cited, AI share of voice, competitors, and custom prompts across ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews/AI Mode, and Claude. Ahrefs
• scrunchai.com — another option oriented toward AI citation intelligence and tracking how content appears in answer engines. TechnologyAdvice

If you specifically want an alert

There's an important distinction:

“Monitor citations” ≠ “send me an alert whenever a new citation happens.”

Most of these platforms work by repeatedly running a defined set of prompts and recording the answers/citations. Otterly, for example, describes its citation tracking as running your prompt set across the major AI engines and storing each answer. Otterly

For your use case, I'd evaluate them based on whether they can:

1. Track specific URLs/pages, not just your company name.
2. Tell you which AI engine cited the page.
3. Show the exact prompt/question that produced the citation.
4. Preserve the answer and citation URL.
5. Notify you when a citation is new, lost, or changes.
6. Monitor multiple engines: ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode, Copilot, etc.
7. Ideally distinguish brand mention vs. actual source citation.

My shortlist would be Profound → OtterlyAI → Ahrefs Brand Radar, depending on how enterprise-oriented you are.

If you tell me what kind of content you publish (e.g. SaaS, publisher/media, ecommerce, B2B) and roughly how many URLs you want monitored, I can compare these three specifically for “alert me whenever an AI answer cites one of our pages.”

Yes. What you’re looking for is generally called an AI visibility tracker, AI search visibility platform, or GEO/AEO tracker.

These tools repeatedly run a set of relevant customer queries through multiple AI answer engines and record whether your site is mentioned, recommended, or cited—and often which exact page was cited.

A few options worth looking at:

• ahrefs.com — tracks mentions and citations across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews. Ahrefs specifically distinguishes a mention from a citation. Ahrefs
• citations.io — tracks ChatGPT, Gemini, Perplexity, and Claude, including the exact domains/pages cited and how often you're cited. It starts at $39/month. Citations
• ai-visibility.io — explicitly has a plan aimed at agencies and freelancers, with 100 prompts/site, ChatGPT/Gemini/Perplexity tracking, competitors, historical trends, CSV export, and white-label capabilities. AI Visibility
• deepsmith.ai — tracks mention rate, citation rate, and share of voice across ChatGPT, Gemini, Perplexity, Claude, and Google AI Mode, with the underlying answers available for inspection. DeepSmith
• koalr.ai — focuses on whether you're mentioned, cited, or recommended, with coverage across multiple AI answer engines. Koalr

For a freelancer, I'd look for these specific capabilities

The important distinction is that you probably don't just want "does AI mention my business?" You want something closer to:

"Of the 200 questions potential clients ask AI about my service, how many times did AI surface my website, and exactly which pages did it use?"

So I'd prioritize:

1. Prompt tracking — you define questions such as “best freelance UX designer for SaaS startups.”
2. Multiple engines — ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews/AI Mode, etc.
3. Citation-level tracking — tells you which URL on your site was surfaced.
4. Historical tracking — e.g. citation rate went from 8% → 17% over three months.
5. Competitor tracking — see which other freelancers/agencies are being surfaced instead.
6. Export/reporting — particularly useful if you're reporting results to freelance clients.
7. Geographic/prompt segmentation — useful if your target market is, say, “freelance web designer in California” rather than generic web design.

One particularly relevant option for a freelancer is AI Visibility, because its current offering explicitly includes an agency/freelancer plan and white-label reporting. AI Visibility

If by “our pages” you mean individual URLs on a freelancer's own website, rather than simply tracking whether the business/brand is mentioned, I can also narrow this down to platforms that specifically measure page-level AI citations and compare their pricing.

Yes. What you’re looking for is usually called an AI visibility tracker, AI search visibility, or AEO/GEO tracker.

These tools repeatedly run relevant prompts across multiple AI answer engines and measure things like:

• How often your website/domain is mentioned
• How often a specific page is cited/linked
• Which AI services surface you — ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, etc.
• Your share of voice versus competitors
• Which prompts cause you to appear or disappear
• Which specific URLs AI systems are using as sources
• Changes over time

For a freelancer, I’d look at these in particular:

• Ahrefs Brand Radar — probably the most established option. Its AI visibility reporting covers ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews, and distinguishes mentions from actual citations. Ahrefs
• AI Visibility — interesting specifically for freelancers/agencies; it offers tracking across ChatGPT, Gemini and Perplexity, with 100 prompts/site, competitor comparisons and historical trends. AI Visibility
• Elmo — open-source and unusually attractive if you're technical or want to keep costs down. It tracks ChatGPT, Google AI Overviews, Perplexity, Gemini, Copilot and Grok; cloud starts at $29/month, while self-hosting is free apart from infrastructure/API costs. Elmo
• CiteScope AI — more focused on the question you asked: add URLs and keywords and it tracks when your content is cited across Perplexity, ChatGPT and Gemini, including citation trends and competitors. Citescope AI
• Rank.ai — tracks seven surfaces, including ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Overviews and DeepSeek, with daily prompt checks. Rank.ai

One important distinction

If by "how often our pages are surfaced" you specifically mean:

"How many times did an AI answer actually cite URL X?"

rather than:

"How often does AI mention my business?"

then I'd prioritize a citation tracker such as CiteScope, rather than a generic AI visibility score. Some platforms count a brand mention even when they don't link to your page. Ahrefs explicitly separates mentions from citations, which is the distinction you want. Ahrefs

And if you're thinking about this as a freelance service you could offer to clients, that's actually a fairly good niche: you can monitor a client's 20–100 important buyer questions across several AI engines and report "AI citations gained/lost this month", rather than trying to sell another conventional SEO ranking report.

If you tell me roughly how many client websites you want to track and your monthly budget (e.g. <$50, $100, $300), I can narrow this down to the best 2–3 options.

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

These platforms repeatedly test questions relevant to your business across multiple AI answer engines and measure things like:

• How often your website/domain is cited
• How often your brand/business is mentioned
• Which specific pages get cited
• Which competitors are appearing instead
• Which prompts/topics produce visibility
• Your visibility/share of voice over time

Good options for a freelancer

• Ahrefs Brand Radar — probably the strongest established option. It tracks ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode, including mentions and citations, and lets you add custom prompts. Ahrefs Ahrefs

ahrefs.com

• Rank.ai — particularly interesting if you're a freelancer because it explicitly targets smaller users and starts around $50/month. It tracks ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Overviews and DeepSeek, with daily prompt checks. Rank.ai

rank.ai

• SearchInsight AI — explicitly markets itself to freelancers, small businesses, agencies and enterprises and tracks ChatGPT, Perplexity, Claude, Grok, Copilot, Gemini and Google's AI experiences. SearchinSight AI

searchinsight.ai

• Genwolf — good if you care about seeing the actual answers and the pages/domains cited behind them. It monitors ChatGPT, Gemini, Perplexity and Google's AI experiences daily. Genwolf

genwolf.ai

• Yogoo — worth looking at for a lightweight/free starting point. It measures citations across ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews and shows which competitors are cited instead. Yogoo

yogoo.ai

One important distinction

If by "how often our pages are surfaced" you specifically mean:

"For 100 questions that potential clients might ask, how many times does an AI answer actually cite one of our URLs?"

I'd prioritize a tool that tracks citations at the URL/page level, rather than one that gives you only a generic "AI visibility score." Ahrefs, Genwolf, Indexly and AllSearch are examples that expose citation/source information. Ahrefs Genwolf Indexly AllSearch

And there's an interesting freelancer-specific opportunity here: you could potentially monitor a client's 20–50 high-value questions across 5–7 AI engines and report "AI citation rate" alongside traditional Google rankings. That's arguably a much more useful client deliverable than simply saying "your GEO score is 63."

If you tell me what kind of freelancer/business you mean (e.g. SEO freelancer managing clients, freelance designer, consultant, agency), I can narrow this down to the 2–3 cheapest tools that fit that use case.

Yes. What you’re looking for is generally called an AI visibility / AEO / GEO tracking platform: it runs the same customer prompts across multiple AI assistants and shows whether your business is mentioned, recommended, and which sources/citations the AI used.

For a local business, I’d look at these:

• citations.io — Tracks ChatGPT, Gemini, Perplexity, and Claude. It shows the actual answers, competitors cited instead of you, and the exact domains/pages cited. Starts around $39/month. Citations
• mentionscout.com — Broader coverage: ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Overviews, and AI Mode. Particularly useful if you want competitor comparisons and the sources behind each answer. MentionScout
• support.birdeye.com — Probably the most relevant established option if you're managing local/multi-location businesses. It provides brand- and location-level reporting and citation share across ChatGPT, Gemini, Perplexity, Google AI Mode/Overviews, Grok and Claude. Birdeye Help Center
• scoutllm.ai — Focuses specifically on buyer questions: whether ChatGPT, Gemini, Perplexity, Google AI Overview and AI Mode mention you, who they recommend instead, and which sources they relied on. Scout LLM
• getintel.ai — Tracks visibility, share of voice, position, citations, competitors, and citation-source intelligence, including which domains AI uses for your category. GetIntel

What I'd want for a local business

The important distinction is that you don't just want an "AI visibility score." You want a dashboard that lets you drill down like:

Prompt: "Best plumbers in Dale City VA for an emergency water leak?"
ChatGPT: Business mentioned? Yes
Citation: Yelp → competitor page
Citation: Your website → no
Perplexity: Business mentioned? No
Gemini: Business mentioned? Yes
Google AI: Business mentioned? Yes
Competitors appearing: A, B, C
Sources repeatedly cited: Yelp, BBB, local news, directories, competitor websites, etc.

That source-level information is what makes the software actionable—you can see where the AI is getting its information and where your business is absent.

For local businesses specifically, Birdeye is worth investigating if you have multiple locations, while Citations.io or MentionScout look more focused if you mainly want an inexpensive monitoring/citation-intelligence layer. Current industry research also shows that local AI visibility extends well beyond ChatGPT, including Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Grok. Locafy

If you tell me what type of local business you have (dentist, HVAC, lawyer, restaurant, etc.) and roughly how many locations, I can narrow this to the 3 best platforms and compare pricing, AI providers, local/geographic tracking, citation-source reporting, and competitor tracking.

For a local business, the type of software you’re looking for is usually called AI visibility tracking, AEO (Answer Engine Optimisation) tracking, or GEO (Generative Engine Optimisation) monitoring. These tools run customer-style prompts across AI assistants and show whether your business appears, whether it is cited, which sources were used, and which competitors appear instead. Citations Local Glyph

Some options:

For a single local business (plumber, dentist, restaurant, salon, trades, etc.), I’d usually look for these features:

• Track the exact customer questions you care about:

• “best plumber near me”
• “emergency plumber in [town]”
• “top-rated [service] in [area]”
• Run them across:

• ChatGPT
• Gemini
• Perplexity
• Google AI search experiences (where available)
• Show:

• Was my business mentioned?
• Was my website cited?
• Which competitor was chosen?
• Which websites/reviews/directories influenced the answer?
• Did the AI give incorrect business details?

A simpler alternative is a spreadsheet-based approach: manually run a fixed set of prompts weekly in each assistant and record mentions, citations, and competitors. Some industry guidance recommends this approach for smaller businesses before paying for software. Pleiades Consultancy

If you tell me the type of local business, country, and whether you need it for one location or multiple locations, I can narrow this to the most suitable tools.

For a local business, the category you’re looking for is usually called AI visibility tracking, AEO (Answer Engine Optimization) tracking, or GEO (Generative Engine Optimization) software. These tools monitor whether AI assistants mention your business, recommend competitors, and which sources they cite. TechRadar

Here are some of the stronger options:

My shortlist for a local business

• Single-location business (dentist, restaurant, contractor, clinic, retail):

Start with Cite AI or Findable AI Visibility. They focus more on local prompts and competitor comparisons rather than enterprise brand reporting. Cite AI Findable

• Multi-location business or agency managing clients:

Look at MentionScout, Citations.io, or GetMint. They are built around dashboards, competitor tracking, and recurring reports. MentionScout Citations GetMint

• Enterprise/local franchise marketing:

Consider Lighthouse or similar AI visibility platforms with broader reporting. Lighthouse

The metrics you want the software to show

For local SEO/AEO, don’t just look for a single “AI score.” The useful metrics are:

1. Prompt visibility

• Example: “best HVAC company near Birmingham”
• Does your business appear?
• Recommendation rate

• How often AI recommends you vs competitors.
• Citation rate

• Which answers include your website, directories, reviews, or articles as sources.
• Citation sources

• Are AI systems using: - your website?
• Google Business Profile?
• Yelp/Tripadvisor/industry directories?
• news articles?
• competitor pages?
• Competitor gaps

• “AI cited competitor X 18 times, your business 3 times.”

For a typical local business, I would prioritize prompt-level answers + cited sources + competitor comparison over a generic AI visibility score. Cite AI Citations

If you tell me the business type (restaurant, law firm, HVAC, medical, retail, etc.) and whether it is one location or many, I can narrow this to the best 2–3 tools.

For a content marketing team specifically looking to track where your brand/content appears in answers across multiple AI assistants and see historical movement, several platforms now fit that use case.

• centium.ai — particularly relevant if answer position is your core metric. It tracks the order in which brands appear across ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Mode, including position-frequency distributions and movement over time. Centium
• runtruffle.com — broader AI-visibility monitoring with per-assistant breakdowns, average position, citations, competitors, and historical evolution. It covers ChatGPT, Gemini, Claude, Perplexity, AI Overviews and AI Mode. Truffle
• deepsmith.ai — useful if you want the position/visibility tracking tied more closely to content and citation analysis. It tracks ChatGPT, Gemini, Perplexity, Claude and Google AI Mode, with 7/30/90-day trends and competitor citation data. DeepSmith
• searchatlas.com — combines LLM visibility with SEO-oriented workflows and tracks brand appearance, sentiment and share of voice across ChatGPT, Gemini, Perplexity and Claude. SearchAtlas
• vistaai.io — emphasizes historical visibility, customizable 30/90-day/yearly trends, regional tracking and campaign-performance analysis. Vista AI

What I'd evaluate for your use case

If by “answer positions” you mean something like:

Prompt: “Best project-management tools for distributed teams”
ChatGPT: Your brand #2
Claude: #5
Gemini: #3
Perplexity: not mentioned
→ historical chart showing those positions week over week

then Centium is the closest match to that exact requirement based on its published feature set. Its position-frequency approach is also more informative than simply reporting an average rank. Centium

If your content team also wants to answer “Which of our pages/content is getting cited, which competitors are replacing us, and did our content changes improve visibility?”, I'd look more closely at DeepSmith or Truffle. Truffle DeepSmith

One important distinction: AI-answer “position” isn't equivalent to Google rank. Generated answers can change between runs, and different assistants can produce substantially different answer structures. Good platforms therefore retain the underlying responses and track mentions, citations, competitors, and trends—not just a single rank number. llmaudit.ai ansvisor.com

If you tell me your approximate number of prompts, assistants (ChatGPT/Claude/Gemini/Perplexity/etc.), and whether you need agency/client reporting, I can narrow this to 2–3 platforms and compare their pricing/features.

If by “answer positions” you mean where your brand/content appears in AI-generated answers—e.g. #1, #2, #5 among the brands mentioned—then there are several platforms worth looking at.

My shortlist for a content marketing team

1. OtterlyAI — probably the most complete fit if you want a conventional marketing analytics workflow. It runs your prompt set across seven AI engines, retains the answers, and measures mentions, order/rank, sentiment, share of voice, and cited URLs. Its prompt-level reporting specifically supports tracking competitor position over time. Otterly Otterly AI

2. Centium — I'd look closely at this if “position” is the core KPI. Rather than reducing everything to one visibility score, it records the ordered brands in each answer and shows a distribution of where each brand lands (#1, #2, #3, etc.). It also tracks movement across repeated runs. Centium

3. DeepSmith — attractive if your team wants to connect AI visibility → content decisions. It captures the actual answers, citations and competitors, and provides 7/30/90-day trends across multiple engines. DeepSmith

4. AirPulse — useful if you want prompt-level reporting. It shows whether you're mentioned, where you rank in an answer, and how that changes by engine, with historical rank/mention/citation data. AirPulse

What I'd measure

For a content marketing dashboard, I'd avoid relying on a single “AI visibility score.” Track at least:

• Mention rate — % of tracked answers mentioning your brand
• Answer position — median/average position when you're mentioned
• Position distribution — % of appearances at #1, #2, #3, etc.
• Citation rate — % of answers citing your content/domain
• Share of voice — your presence versus competitors
• Cited pages — which of your articles actually get surfaced
• Competitor displacement — which competitors appear when you don't
• Trend by prompt/topic — so you can connect content publishing to AI visibility
• Engine-by-engine trends — ChatGPT can behave very differently from Gemini or Perplexity

That last point matters: “we're visible in AI” isn't necessarily the same as “our content is winning the answer.” Position and citation data give your content team much more actionable feedback.

If I were evaluating only three demos, I'd choose OtterlyAI, Centium, and DeepSmith—with Centium receiving particular attention if exact answer position/history is your primary requirement.

3. DeepSmith — attractive if your team wants to connect AI visibility → content decisions. It captures the actual answers, citations and competitors, and provides 7/30/90-day trends across multiple engines.

Yes. There’s now a fairly established AI search / AI visibility / GEO (Generative Engine Optimization) software category that does roughly this.

The important distinction for an online publisher is whether you want to know:

1. Which queries cause AI assistants to cite your articles?
2. Which queries cause them to mention your publication?
3. Which URLs/articles they cite for each query?
4. Which competitors are cited instead?
5. How this changes across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode, Copilot, etc.
6. Ideally, which of those AI queries ultimately generate referral traffic to your site.

Tools worth looking at

• otterly.ai — tracks a defined set of prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, including the URLs cited in answers. It also has prompt research intended to uncover the questions/topics driving visibility. Otterly Otterly
• ahrefs.com — particularly interesting if you're already using Ahrefs. Its Brand Radar tracks mentions and citations across several AI surfaces and separates mentions from actual website citations. Ahrefs
• pagelens.ai — explicitly lets you see the prompts being run in your category, which brands get named, and the sources behind individual answers. PageLens
• rank.ai — tracks defined queries daily across multiple assistants and reports whether your site/brand is mentioned or cited. Rank.ai
• scalepost.ai — this is somewhat different and especially relevant to publishers. Rather than asking AI systems synthetic test questions, it monitors your first-party CDN logs to see which AI agents actually fetch your URLs. That can give you evidence of real AI-agent activity rather than sampled prompt tests. ScalePost

The publisher-specific problem

There is still an important gap in the market.

Most AI-visibility products work by taking a library of queries such as:

"What are the best sources for X?"
"How does X work?"
"What happened with X?"
"Best X publications?"

They repeatedly send those queries to AI systems and record the resulting citations.

That tells you "this query produces visibility for us." It doesn't necessarily tell you "these are the actual queries real users are asking that generated this citation."

For a publisher, I'd therefore distinguish between:

Query-level AI visibility
→ "When we test 10,000 relevant questions, which ones cite us?"

and

Observed AI demand / attribution
→ "Which questions did actual users ask, and which of those resulted in our article being retrieved/cited/visited?"

The first is available today from several vendors. The second is considerably harder because ChatGPT, Gemini, Perplexity, etc. generally don't expose the user's actual query/referral information to publishers in the same way Google Search Console exposes Google search queries.

That's why ScalePost's first-party CDN approach is interesting: it can tell a publisher which AI agents actually fetched which URLs, although it doesn't magically reveal the user's underlying conversational query. ScalePost

If you're evaluating this for a publisher

I'd look for a platform that can produce a dataset like:

That combination—query × assistant × cited URL × competitor × actual referral—is probably the most valuable dataset for an online publisher.

If you tell me roughly what kind of publisher you are (news, financial information, sports, B2B, consumer, academic, etc.) and whether you're interested in SEO/GEO optimization or measuring actual traffic, I can identify the 3–5 products that are closest to that specific use case and explain what each can and cannot measure.

Yes. There’s now a fairly mature category for this, usually called AI visibility tracking, AEO (Answer Engine Optimization), or GEO (Generative Engine Optimization).

For an online publisher, though, I’d distinguish between two slightly different jobs:

1. “Which queries cause my publication to appear/cited?”
2. “Which queries are actually being asked by users, and therefore drive AI-referred traffic?”

Most products are much better at #1 than #2.

Tools worth looking at

• ahrefs.com — tracks how a brand appears across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. Their broader Brand Radar product is particularly relevant if you already use Ahrefs. Ahrefs
• hubspot.com — tracks individual prompts, visibility, competitors, and, importantly for a publisher, which pages/domains are being cited. HubSpot
• wellows.com — particularly focused on query-level tracking: prompt → AI answer → mention → citation, with filters for intent, platform, competitor, etc. Wellows
• genwolf.ai — monitors prompts across ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, including the sources cited for each answer. Genwolf
• rankscale.ai — broader multi-engine coverage, claiming 17+ AI engines and intent-based prompt research. Rankscale.ai
• airpulse.ai — tracks individual prompts and shows mentions, rank within answers, citations and changes over time. AirPulse

The important publisher-specific distinction

If you're a publisher like a news site, magazine, reviews site, recipe site, sports site, etc., I'd want a system that can produce something like:

The first five columns are what today's AI visibility platforms are increasingly good at. The last column—actual traffic attributable to the underlying AI query—is considerably harder.

That's because assistants generally don't give publishers a clean equivalent of Google Search Console's query → impression → click dataset. Consequently, many platforms infer the important prompts, monitor a representative prompt set, and separately measure AI-referred visits in analytics.

If you're evaluating this for a publisher

I'd specifically ask vendors whether they can:

• Discover queries relevant to your content, rather than requiring you to manually supply every prompt.
• Track individual URLs/articles, not merely your brand.
• Show which passages/pages are cited.
• Track citations across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode, and Copilot.
• Identify queries where a competitor gets cited but you don't.
• Separate informational, navigational, commercial and news/trending queries.
• Connect AI visibility to GA4/referral traffic.
• Export the underlying prompt/answer/citation data, rather than giving you only a proprietary “visibility score.”
• Track changes over time, since AI answers are much less stable than conventional rankings.

If what you're really asking is “Is there a product that can tell an online publisher which specific AI queries are generating visibility and traffic to its articles, across ChatGPT/Perplexity/Gemini/etc.?” — that's a narrower problem, and I can map out the current vendors specifically against that requirement.

That's because assistants generally don't give publishers a clean equivalent of Google Search Console's query → impression → click dataset. Consequently, many platforms infer the important prompts, monitor a representative prompt set, and separately measure AI-referred visits in analytics.

If you're evaluating this for a publisher

I'd specifically ask vendors whether they can:

• Discover queries relevant to your content, rather than requiring you to manually supply every prompt.
• Track individual URLs/articles, not merely your brand.
• Show which passages/pages are cited.
• Track citations across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode, and Copilot.
• Identify queries where a competitor gets cited but you don't.
• Separate informational, navigational, commercial and news/trending queries.
• Connect AI visibility to GA4/referral traffic.
• Export the underlying prompt/answer/citation data, rather than giving you only a proprietary “visibility score.”
• Track changes over time, since AI answers are much less stable than conventional rankings.

If what you're really asking is “Is there a product that can tell an online publisher which specific AI queries are generating visibility and traffic to its articles, across ChatGPT/Perplexity/Gemini/etc.?” — that's a narrower problem, and I can map out the current vendors specifically against that requirement.

Yes. This category is usually called AI visibility tracking, AEO (answer engine optimization) analytics, or GEO (generative engine optimization) monitoring. These tools track which prompts/questions cause AI assistants to mention, cite, or recommend a publisher’s content across systems like ChatGPT, Gemini, Claude, Perplexity, and Google AI features. Searchscope Scout LLM

Examples:

• DemandSphere — enterprise search analytics platform that includes AI search visibility, prompt mapping, citations, and competitor tracking. DemandSphere
• Searchscope — tracks a set of buyer questions across multiple AI assistants and shows mentions, competitors, and cited sources. Searchscope
• Pierview — focuses on prompt intelligence: which prompts drive recommendations and which sources AI assistants cite. Pierview
• Babel42 — monitors AI visibility across assistants and connects visibility to query intent and sources. Babel42
• Scout LLM — tracks prompts, brand mentions, competitors, citations, and AI-generated answers. Scout LLM

For an online publisher, the important capabilities are slightly different from brand monitoring:

• Prompt discovery: identify the questions where your articles could appear but do not.
• Citation tracking: see which URLs AI assistants rely on and whether your pages are cited.
• Query-to-content mapping: connect AI prompts to specific articles, topics, and editorial opportunities.
• Share of voice: compare how often your publication appears versus competitors.
• AI referral measurement: combine AI visibility with analytics/log data to see actual traffic impact.

A mature publisher stack will often combine one of these tools with traditional SEO data (Google Search Console, analytics, keyword tools) because AI prompts and search queries overlap but are not identical. DemandSphere

If you mean "which exact user questions lead ChatGPT/Gemini/etc. to cite my articles" rather than just brand mentions, look specifically for prompt intelligence + citation analytics features. Pierview

Yes. There are now several tools specifically built for AI/answer-engine visibility tracking—they run the same prompts across multiple assistants, capture the answers, measure mentions/citations/position, and provide exports for analytics.

A few relevant options:

• OpenLens — tracks ChatGPT, Claude, Gemini, Google AI, Perplexity, Grok, and DeepSeek; keeps a response archive and provides per-platform visibility, sources, and competitor data. OpenLens
• DeepSmith — tracks ChatGPT, Gemini, Perplexity, Claude, and Google AI Mode, including the underlying answers and historical metrics such as mention rate, citation rate, and share of voice. DeepSmith
• Genwolf — runs prompts across ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode, with full answer history and daily monitoring. Genwolf
• Linksii — covers ChatGPT, Claude, Gemini, and Perplexity and advertises CSV/PDF and Looker Studio exports. Linksii
• Depra AI — stores the full collected answers and lets you filter and export them to CSV, including the engine, mentioned brands, ordering, and cited websites. Depra AI
• AnswerOrbit — stores full responses and offers CSV export from its tables. AnswerOrbit

For an analytics team

I'd look specifically for raw-response export, rather than just a proprietary "visibility score." Ideally the exported dataset contains:

timestamp | assistant/model | prompt | full_answer | brand_mentioned | mention_position | citation_url | cited_domain | competitors | geography | run_id

That gives your analytics team enough granularity to calculate its own visibility/share-of-voice metrics and correlate changes over time.

If by "multi-assistant answer visibility" you mean something more specific—e.g. tracking how often your company's product appears in ChatGPT vs. Claude vs. Gemini vs. Perplexity, with an API feeding your existing warehouse—I can narrow this down to tools that offer API/CSV/BigQuery/Looker exports and enterprise data access.

If by “multi-assistant answer visibility data” you mean tracking which assistant/model/GPT produced answers, who viewed them, engagement, usage, or response-level visibility events, the answer depends on what environment you mean:

• ChatGPT Enterprise/Edu workspace: There are built-in analytics and export options, but they are primarily aggregated workspace analytics rather than a raw “every answer viewed by every user” visibility feed. Workspace Analytics can export CSV reports for items such as users, GPTs, and projects. OpenAI Help Center
• OpenAI API applications with multiple assistants/agents: The usual approach is to instrument your own application analytics layer. You would log events such as: - assistant/agent ID
• model used
• conversation/session ID
• user/team ID (where appropriate)
• answer generated timestamp
• answer shown/rendered timestamp
• clicks, ratings, follow-up actions
• latency and token usage

The OpenAI API Usage tooling can help with API activity and consumption reporting, including exports, but it is focused on usage/cost rather than product-level answer visibility analytics. OpenAI Help Center OpenAI Help Center

• Enterprise compliance/audit needs: The Compliance Platform provides workspace audit and metadata access that can be connected to external eDiscovery, DLP, or SIEM systems. OpenAI Help Center

For an analytics team wanting a full “answer visibility” dataset, a common architecture is:

1. Emit application events (e.g., answer_generated, answer_displayed, answer_opened, feedback_submitted).
2. Store them in your warehouse (Snowflake, BigQuery, Databricks, etc.).
3. Join with OpenAI usage metadata (tokens, model, project, cost).
4. Build dashboards around: - assistant adoption
5. answer impressions
6. unique viewers
7. engagement rate
8. satisfaction/feedback
9. cost per successful interaction

If you mean ChatGPT Enterprise assistants/GPTs specifically rather than assistants you built via API, the available export and API options are different. I can outline the exact data pipeline if you tell me which setup you have.

Yes. What you’re describing is generally called AI visibility / answer-engine visibility tracking (also GEO/AEO tracking): you define a set of prompts, run them across multiple assistants, and track whether/how your brand or product appears, its position, competitors, and cited sources.

A few platforms currently offer API access, which is particularly relevant if your engineering team wants to ingest the data into your own warehouse, dashboard, alerts, or product:

• Cituna — REST API covering ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews, and AI Mode. It exposes prompt-level visibility, positions, raw answers, and citation sources. Cituna
• Sellm — REST API across ChatGPT, Claude, Perplexity, Gemini, and Grok; positioned specifically for pulling AI-search visibility into internal dashboards and reporting pipelines. Sellm
• Honeyb — API-oriented product with task submission, individual answer records, engine/prompt/position data, competitors, sentiment, and citations. It covers eight engines, including DeepSeek and Google's AI surfaces. Honeyb
• Rank Prompt — REST API plus webhooks and MCP, covering ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, and Grok. Rank Prompt
• SearchFIT — REST API for AI visibility/share-of-voice, reports, and prompt-level rankings, currently covering ChatGPT, Perplexity, Gemini, and Google AI Overviews. SearchFIT
• SE Ranking — AI Visibility API with structured data across ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode, with API access integrated into its plans. SE Ranking

What I'd look for technically

If this is for an engineering integration, I wouldn't choose based solely on the dashboard. The important question is whether they give you the raw observation layer, something roughly like:

{
  "prompt": "best CRM for a 50-person SaaS company",
  "engine": "chatgpt",
  "timestamp": "2026-09-17T00:00:00Z",
  "answer": "...",
  "brand_mentioned": true,
  "brand_position": 2,
  "competitors": ["HubSpot", "Salesforce"],
  "citations": [
    {"url": "...", "domain": "..."}
  ]
}

That lets your team independently calculate share of answer, mention rate, first-position rate, citation rate, competitor displacement, and trends, rather than becoming dependent on the vendor's proprietary "visibility score."

One important distinction: tracking an assistant's answer is different from querying the underlying LLM API. Some vendors collect answers from the actual consumer-facing interfaces, while others generate answers through model APIs/search APIs. That can produce materially different results, so I'd specifically ask each vendor how each engine is sampled. CitePrism, for example, explicitly distinguishes between app-level observation and API-based collection. CitePrism

If you tell me which assistants you need (e.g. ChatGPT + Gemini + Claude + Perplexity), approximate number of prompts, and whether you want raw answers or just metrics, I can narrow these down to the APIs that fit your engineering architecture.

Yes. If by “answer placements” you mean tracking where your company/product appears in answers from ChatGPT, Claude, Gemini, Perplexity, etc.—including mention position, competitors, citations/sources, and share of voice—there are now several platforms with APIs.

A few worth evaluating:

• trackee.dev — API-first approach. It exposes normalized visibility checks across ChatGPT, Claude, Gemini, Grok, and Perplexity, including mention position, cited URLs, and scheduled monitoring. Trackee Trackee
• sellm.io — particularly interesting for engineering teams. Its API covers ChatGPT, Claude, Perplexity, Gemini, Grok, and Copilot, with bulk async analysis, configurable providers/replicates, webhooks, and organization-scoped API keys. Sellm Sellm
• citationbench.com — developer-oriented REST API with citation rank, share of voice, history, scheduling, multi-workspace support, and an MCP server. Currently focused on ChatGPT, Claude, and Perplexity. CitationBench
• mentionsapi.com — API specifically designed around programmatic AI brand monitoring; tracks prompts across ChatGPT, Claude, Gemini, and Perplexity and returns mentions, position, sentiment, and citations. MentionsAPI
• github.com — open-source/self-hosted option. It tracks ChatGPT, Claude, Perplexity, Gemini, Copilot and others, and provides a REST API. This is attractive if you want the data and methodology under your own infrastructure. GitHub

What I'd look for technically

For an engineering integration, I wouldn't just buy a dashboard that happens to have an API. I'd want the underlying API to return something roughly like:

{
  "prompt": "best CRM for startups",
  "engine": "chatgpt",
  "model": "…",
  "timestamp": "…",
  "answer": "…",
  "brand": {
    "mentioned": true,
    "position": 2,
    "recommended": true
  },
  "competitors": [
    {"name": "Competitor A", "position": 1},
    {"name": "Competitor B", "position": 3}
  ],
  "citations": [
    {"url": "https://example.com/article", "position": 1}
  ]
}

That lets your team build its own AI visibility/placement database, dashboards, alerts, and historical analysis instead of being locked into someone else's “AI visibility score.”

One important distinction: “rank/position in an AI answer” isn't equivalent to Google ranking. Different engines may produce different answers, and some products query consumer-facing answer surfaces while others use model APIs. For serious measurement, I'd specifically ask vendors how they obtain each answer and whether they preserve the raw answer + model/version + citations + timestamp. CitePrism, for example, explicitly distinguishes app-level answers from API-based access. CitePrism

If you tell me your expected scale (e.g. 100 prompts/day vs. 100k/day) and which assistants you need, I can narrow this to 2–3 APIs and compare coverage, API design, pricing, webhooks, raw-answer access, and self-hosting.

Yes. What you’re describing is generally called AI visibility / AEO (Answer Engine Optimization) tracking: monitor how your brand/product is positioned across multiple AI assistants, including mentions, recommendation/placement, citations, competitors, and share of voice, then expose the data through an API.

A few platforms are particularly relevant:

• trackee.dev — probably the closest match if your engineering team wants an API-first solution. It tracks ChatGPT, Claude, Gemini, Grok, Perplexity and Google, with normalized visibility, mentions, citations and share-of-voice data. It offers REST plus MCP. Trackee
• demandsphere.com — more enterprise/API-oriented. Its API exposes mentions, citations, sentiment and full AI responses, with filters by platform, date and prompt category. DemandSphere
• seranking.com — tracks brand presence across ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, and makes the data available through an API/MCP layer. SE Ranking
• citationbench.com — especially interesting if by "placement" you mean where you appear/cite within an answer. Its API returns citation status, rank within the answer, share of voice and historical tracking, with multi-workspace support. CitationBench
• visiblee.ai — API-first visibility data including prompts, mentions, citations, competitors and segmentation, intended for building dashboards and internal workflows. Visiblee

What I'd shortlist

If you're building this into your own engineering stack, I'd start by evaluating Trackee, DemandSphere, and CitationBench.

The important distinction is whether you need:

1. "Did the assistant mention/recommend us?"
2. "What position did we occupy in the answer?"
3. "Which URLs/sources caused the recommendation?"
4. "How does our placement compare with competitors?"
5. "Can I pull raw answers + structured metrics through an API?"
6. "Can I schedule the same prompts repeatedly and build historical trends?"

If you tell me whether you're tracking your own product/brand, clients, or arbitrary products, I can narrow this down to the 3 best APIs and compare their API coverage, supported assistants, raw-response access, web citations, historical tracking, and likely pricing.