Answers that do not mention Peec AI

Yes — what you’re looking for is generally called an AI visibility / GEO (Generative Engine Optimization) tracker, not a traditional SEO rank tracker.

If your specific requirement is:

“For the prompts my customers ask ChatGPT, does my company appear, and if it does, is it #1, #2, #5, etc.?”

I’d shortlist these:

• otterly.ai — best fit for exact position tracking. It tracks your prompts across ChatGPT and other AI engines, stores the answers, and reports average rank, mentions, competitors, sentiment, and citations. Its documentation specifically describes an “AI Brand Ranking” that tracks positions over time. Semrush Otterly
• ahrefs.com — best if you also care about SEO. It tracks ChatGPT visibility, competitors, exact prompts/responses, citations, and AI Share of Voice. Its strength is measuring visibility across large sets of search-backed prompts rather than just a small manually chosen list. Ahrefs Ahrefs
• bonemeal.ai — worth looking at if you primarily want ChatGPT ranking. Its dashboard explicitly reports visibility, position, competitors, prompt-level results, sentiment, and cited sources. Bonemeal
• rankbits.com — good lightweight option. It runs buyer prompts through ChatGPT and reports mentions, citations, competitors, and visibility. RankBits

What I'd choose

If “where exactly do I rank?” is the most important requirement, I'd start with OtterlyAI.

If you're running a serious SEO/content program and want to connect Google rankings + ChatGPT visibility + competitor analysis, I'd lean toward Ahrefs Brand Radar.

One important caveat: ChatGPT doesn't have a single fixed ranking like Google does. The answer can vary based on the prompt, location, personalization, date, and whether ChatGPT is using web search. So the useful metric is really:

Prompt → ChatGPT answer → your brand mentioned? → position in answer → competitors ahead of you → sources/citations → change over time.

That's why these platforms monitor a set of commercially relevant prompts rather than claiming there's one universal “ChatGPT rank.” The volatility is significant; recent research, for example, has documented substantial changes in which sites ChatGPT cites over short periods. axios.com

If you tell me your company/website and what you sell, I can also suggest the 10–30 exact ChatGPT prompts I'd track to determine whether you're winning or losing AI search visibility.

If you want to track whether your company appears in ChatGPT answers and where it ranks, you’re looking for an AI visibility / GEO (Generative Engine Optimization) tracking tool, not a traditional SEO rank tracker. ChatGPT does not have a fixed “position #1–10” ranking like Google; good tools measure things like:

• Whether your brand is mentioned
• Whether you are recommended vs. competitors
• Your share of voice
• Your average position/order in the answer (when measurable)
• Which prompts trigger appearances
• Which sources ChatGPT cites
• How results change over time

Rank.ai BonemealGood options:

A practical setup I’d recommend:

1. Pick your 20–100 highest-value customer questions, e.g.:

• “best [category] software”
• “[competitor] alternatives”
• “companies that provide [service]”
• “top vendors for [use case]”
• Track those prompts weekly or daily.
• Measure:

• Mention rate: “Does ChatGPT mention us?”
• Recommendation rate: “Does it suggest us as an option?”
• Position: “Are we first, middle, or last in the answer?”
• Citation share: “Does ChatGPT cite our website or competitors?”
• Keep screenshots or exported answers because AI responses can change between runs.

If you are a B2B company, I would lean toward a dedicated AI visibility tracker (Rankability, Rank.ai, RankBits, etc.). If you already have an SEO team using Ahrefs or Semrush, adding their AI visibility features is usually the easiest path. Ahrefs Semrush

If you tell me your company size (startup vs enterprise), industry, and whether you care more about brand mentions or being recommended as the #1 choice, I can narrow this down.

Yes. The category is usually called AI visibility tracking, LLM visibility, GEO (Generative Engine Optimization) tracking, or AEO tracking.

These platforms essentially build a synthetic panel of questions your customers might ask, run those questions through ChatGPT/Claude/Gemini/Perplexity on a recurring basis, and record whether your product appears, how often, what it is being recommended for, what competitors appear instead, and which sources/pages get cited. Citations Ahrefs

Platforms I'd look at

• citations.io — Probably the closest match to your question. It tracks ChatGPT, Gemini, Perplexity and Claude, including prompt-level citations, the exact AI answers, cited URLs/snippets, sentiment, position, and competitors. It also has an answer archive, so you can inspect the actual context rather than just getting a visibility score. Citations Citations
• otterly.ai — More established/general-purpose option. Tracks brand mentions and website citations across ChatGPT, Perplexity, Gemini, Google AI surfaces and others, with prompt tracking and competitive share of voice. Otterly
• ahrefs.com — Useful if you're already using Ahrefs. It reports total AI mentions, mentions by platform, the topics where AI associates your brand, and the domains/pages being cited. Ahrefs
• pondral.com — Interesting if you particularly care about context/quality, because it evaluates presence, prominence, context accuracy, citation link, and competitive presence, rather than treating every mention as equivalent. Pondral
• hypado.com — Tracks mentions, recommendations, prominence, sentiment and citations across multiple AI engines and lets you organize monitoring around the questions your customers ask. hypado.com

The important distinction

If by "cited" you mean "does the AI actually link to my website/product page as a source?", don't buy a tool that only measures brand mentions.

You ideally want data like:

Prompt: "What's the best accounting software for a 20-person architecture firm?"
ChatGPT: Product X, Product Y, Your Product
Your product's position: #3
Mention: Yes
Recommendation: Yes
Context: Best for project-based firms
Citation: yourproduct.com/pricing
Competitors cited: X, Y
Sentiment: Positive

That distinction matters because a product can be mentioned without being cited, or cited for a completely different reason than you intended. Some platforms explicitly track the source URL and the surrounding answer context. Citations Pondral

One caveat

These aren't measuring every conversation happening inside ChatGPT. They generally work by repeatedly running a defined set of prompts and sampling the resulting answers. Because AI answers vary, a single query isn't meaningful; recurring measurements over a sufficiently large prompt set are much more useful. Siftly Citations

If you tell me what your product is and roughly how much you're willing to spend per month, I can narrow this down to the 2–3 platforms that would actually fit, including which one gives you the deepest "what exactly is the AI saying about us?" data.

Yes. A new category of tools is emerging around AI visibility tracking, Generative Engine Optimization (GEO), or AI search analytics. These platforms repeatedly run customer-like prompts through chat-based AI systems and measure whether your product is:

• Mentioned (“ChatGPT recommends Product X”)
• Cited (the AI links to your site or another source about you)
• Recommended vs. competitors
• Associated with certain use cases or contexts
• Described positively/negatively
• Missing from answers where you would expect to appear MentionScout DeepSmith

Some options:

A few caveats:

• There is no universal “AI citation counter” like Google Analytics for ChatGPT. These tools generally estimate visibility by running a controlled set of prompts repeatedly and analyzing the responses. Rank.ai
• Results vary because AI answers are probabilistic: the same prompt can produce different answers at different times.
• The most useful setups usually track your real buyer questions, not just your brand name. For example: - “Best project management tools for agencies”
• “Alternatives to [competitor]”
• “Best software for [specific job-to-be-done]”
• “Is [your product category] worth it?”

If your goal is product marketing, I would prioritize a platform that shows:

1. the exact prompts where you appear,
2. the full AI response,
3. the sources/citations used,
4. who gets recommended instead,
5. the context (use case, audience, sentiment).

That gives you actionable insight rather than just a vanity “AI ranking” score. MentionScout DeepSmith

If you’re managing multiple client brands across different industries, I’d recommend otterly.ai as the best starting point, with tryprofound.com as the stronger enterprise alternative.

My recommendation: OtterlyAI

It maps particularly well to an agency/multi-client use case:

• Multi-brand workspaces: separate clients into workspaces, each with its own brands, competitors, prompts and GEO audits. Otterly Otterly
• ChatGPT monitoring: tracks whether brands are mentioned, their visibility/share of voice, sentiment, ranking and citations. Otterly
• Competitive SOV: you can measure your client's share of AI answers against the competitors appearing for the same prompts. Otterly
• Cross-industry flexibility: prompt sets can be customized by client rather than relying on one universal keyword taxonomy.
• Beyond ChatGPT: it also monitors Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and Claude, which is important because AI-search behavior is fragmented. Otterly
• Reporting/API: CSV exports, Looker Studio integration and an API make it much easier to roll client data into your own reporting stack. Otterly Otterly

How I'd structure the measurement

Don't use a single "ChatGPT share of voice" number per client. Build a prompt-based SOV model:

That distinction between coverage and share of voice is important: coverage tells you whether you're appearing, while SOV tells you how much of the competitive conversation you're capturing. OtterlyAI explicitly supports both measurements. Otterly

For an agency, I'd use this operating model

1. Create an individual workspace per client.

Each gets:

• 50–200 priority prompts
• 5–10 competitors
• relevant product/service entities
• target geography
• industry/topic categories

2. Organize prompts by customer journey.

For example, for a SaaS client:

• Category discovery — "best CRM for a 50-person company"
• Problem — "how do I manage leads across multiple sales teams?"
• Comparison — "Salesforce vs HubSpot alternatives"
• Vendor selection — "best CRM for healthcare companies"
• Product-specific — "HubSpot alternatives with..."
• Brand — "Is [client] a good CRM?"

This gives you a much more meaningful SOV metric than simply tracking the client's name.

3. Report four headline KPIs.

I'd put these on the first page of every client report:

AI Visibility: 38%
AI Share of Voice: 21%
Competitive position: #3
Citation share: 14%

Then show movement versus the previous month.

4. Break SOV down by topic.

This is where the data becomes actionable. For example:

Now the client can see where they are losing AI visibility, rather than being told that their overall "AI score" went from 34 to 37.

When I'd choose Profound instead

I'd shortlist tryprofound.com if you're operating at a larger enterprise/agency scale and want a more sophisticated platform.

Profound's Answer Engine Insights tracks visibility, SOV, sentiment, positioning and citations, while also allowing segmentation by topics, regions and audience personas. It queries the consumer-facing AI experiences rather than simply relying on model APIs. Profound Profound Knowledge Base

It also has prompt-volume data, agent/crawler analytics and optimization workflows, making it more of a full AEO/GEO platform than purely a monitoring dashboard. Profound Profound

The shortlist I'd use

For an agency managing many diverse clients:
1. OtterlyAI — best fit for multi-brand monitoring/reporting.

For larger enterprise clients and deeper AEO intelligence:
2. Profound — stronger if budget and sophistication are less constrained.

The bigger strategic point is that ChatGPT SOV should be a standardized measurement framework you own, not just a score you take from a vendor. AI answers are volatile—the recent change in Reddit's share of ChatGPT citations is a good example—so I'd retain the underlying prompt/response data and calculate trends over time rather than treating any vendor's proprietary "visibility score" as the source of truth. Axios

If you're building this for an agency with, say, 20–100+ client brands, I can also lay out the exact data architecture + prompt taxonomy + SOV formula + Looker Studio dashboard structure I'd use.

Yes. There’s now a growing category of AI search / GEO / AEO visibility platforms that do something analogous to traditional rank tracking—but for conversational answers.

The important distinction is that most don't literally track a single “rank” for each page the way Google rank trackers do. They typically track which prompts produce your site/page as a citation, where you appear in the answer, how often you appear, and how that changes over time.

The closest fits

• jasno.ai — probably one of the closest to what you're describing. It archives individual AI responses and citations, tracks prompt-level position, and provides historical “Timewarp” views. It explicitly tracks which pages/URLs are cited, not just whether the brand is mentioned. Jasno
• ahrefs.com — tracks ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode, including mentions and citations and the domains/pages being cited. It is particularly interesting if you already use Ahrefs for conventional SEO. Ahrefs
• amicited.com — particularly relevant if you want an archive of the actual responses. It says every response is stored and diffable over time, so you can see when a citation appeared/disappeared and how the answer changed. Am I Cited
• rankagent.app — runs daily prompts across ChatGPT, Claude, Perplexity, Google AI Overviews, Copilot, Grok and DeepSeek, retaining the results for historical trend analysis. RankAgent
• ansvisor.com — focuses on prompt monitoring, citations, competitors, URLs and historical changes across several AI engines. Ansvisor

But there's an important gap

If by “historical rank tracking of my pages” you mean something very specific like:

For prompt X, on August 1 my /guide-to-x page was cited #2 in ChatGPT; on August 15 it disappeared; on August 20 /product-x became citation #1.

Yes, some products are getting close, but this is still less mature than Google rank tracking.

AI answers don't have a stable SERP position. A response might contain 3–8 citations, citations can move around between runs, and the answer can change based on model, search results, location, personalization, and other factors. Research on AI search similarly treats visibility, citation frequency, citation position/prominence, and share of voice as more useful metrics than a conventional rank. Machine Relations

So I'd think about the metric as:

Prompt → AI engine → response → cited URL → citation position → date/time

rather than:

Keyword → Google position → date

If you're looking for a specific product category

There is actually an interesting opportunity here: page-level AI citation history is much more useful for an SEO/content team than a generic “AI visibility score.”

I'd want a tool that lets you see something like:

Jasno and AmICited look especially close to this use case from the features they currently advertise. Jasno Am I Cited

If you're evaluating these for SEO at the page/URL level rather than brand monitoring, I can also compare the leading tools specifically on historical URL-level citation tracking, prompt tracking, citation position, API access, Google AI Overviews, ChatGPT, Perplexity, and pricing.

Yes. This category now exists, usually called AI search visibility, GEO/AEO tracking, or LLM rank tracking. The important distinction is that these tools generally track prompts → AI responses → mentions/citations/position, rather than a traditional Google-style page rank.

The strongest options I found

Profound is probably the closest match to what you're describing. It runs tracked prompts daily, stores the resulting answers and citations, and gives you Visibility Rank, Share of Voice, citation data, and trends over time. Importantly, it can identify which specific URLs on your site are being cited for which prompts. www.tryprofound.comwww.tryprofound.com

Profound also has historical data going back to January 2025 for ChatGPT in the US, with other platform coverage beginning later depending on region/platform. help.tryprofound.com

Rankscale is another interesting option if you want something more analogous to a conventional rank tracker. It explicitly tracks historical visibility, mentions, citations, and competitor movement across scheduled AI runs. rankscale.ai

Rank.ai appears particularly interesting for your wording. Its Conversation Explorer keeps the full response from every tracked run, so you can compare, for example, how ChatGPT answered a prompt today versus last week and inspect the individual cited URLs. www.rank.ai

But there's an important distinction

If by "historical rank tracking of my pages inside conversational AI responses" you mean something like:

/blog/best-running-shoes
#2 cited page for "What are the best running shoes for beginners?"
→ #4 last month
→ #7 three months ago

then yes, this is possible, but the market is still much less mature than Google rank tracking.

AI answers don't have a stable SERP position. A better model is:

Prompt → AI response → your URL cited? → where in response? → competitor URLs → visibility/share-of-voice over time

Profound explicitly exposes citation sources and competitor rankings, while its historical/analytics layer can show how those metrics change by day, prompt, platform, region, topic, etc. help.tryprofound.com

If you're evaluating this as a product opportunity

There is actually an interesting gap here.

Most current products emphasize brand visibility:

"Is Nike mentioned?"

rather than the much more SEO-native question:

"Which of my URLs are being retrieved/cited by AI, for which queries, and how has each URL's position changed over time?"

Profound is getting fairly close to this: it says you can search a URL and see the prompts that cause AI engines to cite that page, broken down by platform and volume. www.tryprofound.comwww.tryprofound.com

If you're thinking about building or buying something specifically for SEO teams, I'd compare the existing products on URL-level historical citation tracking, rather than generic "AI visibility." That's where the differentiation gets interesting.

If by “exact passages” you mean the actual text/snippets from your pages that ChatGPT used, plus where your site/page appeared relative to other cited sources, I’d shortlist these:

1. citations.io — best overall fit

• Tracks ChatGPT, Gemini, Perplexity and Claude.
• Its Citation Map shows the exact URLs and snippets AI engines cite, along with rank, sentiment and freshness signals. Citations
• It also keeps an audit trail back to the verbatim AI answer, which is useful if you want to inspect exactly what ChatGPT returned. Citations
• My pick if your priority is “show me the evidence.”
• rankability.com — best for rank/position tracking

• Specifically tracks ChatGPT citations.
• Records your position among cited sources for each keyword, which lets you monitor movement over time.
• It also identifies the pages on your site that earn citations and captures competitors appearing in the same response. Rankability
• Listed price is $99/month.
• zumihq.com — best for larger-scale AI visibility

• Tracks up to nine AI engines.
• Provides average position, citation share, and page-level citation tracking.
• Its Sources module lets you trace citations back to the exact URL the AI engine pulled. Zumi

One important distinction

There isn't really a conventional “Google position #3” equivalent inside ChatGPT. An AI answer can cite several sources, paraphrase material without directly quoting it, or cite a page without exposing a stable ordering. Some platforms therefore report citation/mention position rather than pretending there is a deterministic search ranking. SERPclimber

If your exact requirement is:

Prompt → exact ChatGPT answer → highlighted passage from my webpage that was used → URL → citation position → competitor/source positions → historical changes

then Citations.io is the one I'd test first, with Rankability as the alternative if the ranking/position dimension matters more than passage-level evidence.

Also worth noting: ChatGPT's retrieval/citation behavior is changing rapidly, so I'd favor tools that capture real answers rather than estimating rankings from traditional SERPs. Recent research has found multiple layers involved in what ChatGPT retrieves and ultimately cites. searchengineland.com

If by “exact passages” you mean the specific sentences/sections from your webpage that contributed to a ChatGPT answer, plus where your site/page ranked among the cited sources, I’d shortlist these:

Best match: Rankability

Rankability ChatGPT Rank Tracker

It’s probably the closest fit to what you described. It says it:

• runs your target queries against ChatGPT with live web search
• captures the actual response
• records the source URLs ChatGPT cites
• tracks your position among cited sources
• shows competing brands/sources in the same answer
• tracks changes over time

It explicitly describes its citation view as showing the sources ChatGPT cites “ranked and scored.” www.rankability.com

Caveat: I don't see evidence that it literally highlights the exact passage/snippet on your webpage that ChatGPT used. It appears stronger on citation + position tracking than passage-level attribution.

If passage-level attribution is the priority: Aeranko

Aeranko AI Search Visibility

Aeranko is interesting because it has a citation map/source graph designed to connect AI answers to the underlying source pages and says it shows “what they say” and which source pages influence an answer. aeranko.com

But again, I would verify in a demo that it exposes the literal passage/snippet, rather than merely the URL.

Another strong option: Jasno

Jasno AI Search Visibility

Jasno tracks citation presence, prominence, and rank position within an AI response, and distinguishes owned-page citations from third-party citations. jasno.ai

My recommendation

If your requirement is specifically:

Prompt → ChatGPT's exact answer → exact URL cited → exact passage from my page used → citation/source position → historical movement

I'd start with Rankability and ask for a demo of passage-level extraction. It is the clearest match for the rank-position component. If the exact passage is non-negotiable, I'd also test Aeranko.

One important distinction: “rank #2 in ChatGPT” isn't necessarily analogous to Google position #2. AI answers can cite several sources without presenting them as an ordered ranking at all. Tools therefore have to define their own metric—e.g. source/mention order or prominence. Jasno explicitly makes this distinction. jasno.ai

If you tell me your site URL and roughly how many prompts you want to track, I can compare 5–10 platforms specifically for passage-level citation extraction + ChatGPT source rank, including pricing.

If you mean monitoring how often an ecommerce product is surfaced by ChatGPT, Gemini, Perplexity, etc., and its position/order in the recommendations, there are emerging tools specifically for AI visibility / GEO (Generative Engine Optimization).

A few categories to look at:

• AI search visibility platforms — track prompts such as “best running shoes under $150,” then record whether your products appear, where they appear, and which competitors are mentioned.
• LLM monitoring tools — measure brand/product mentions and changes in rankings across different AI assistants over time.
• Ecommerce-focused AI visibility tools — additionally connect product catalogs/feeds so they can distinguish individual SKUs and product pages rather than just tracking brand mentions.

If you're asking “what specific tool should an ecommerce store use?”, I can research the current options and compare them by ChatGPT/Gemini/Perplexity coverage, product-level tracking, ranking/order tracking, pricing, and whether they can monitor thousands of SKUs.

Yes — what you’re looking for is generally called AI visibility / AI shopping visibility tracking (or GEO/AEO tracking).

A few tools specifically fit the use case:

• searchpanel.ai — probably the closest match. It tracks individual SKUs across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews, and Amazon Rufus. It measures whether a product appears, its position, citations, consistency, and freshness, down to the individual AI answer. Searchpanel Searchpanel
• studyo.ai — focuses heavily on AI shopping recommendations. It runs buyer-intent prompts, records which products are recommended, and tracks your product's rank versus competitors over time. Studyo
• ecommerceinsights.ai — product-level tracking across six AI engines, including citation and "agent-readability" scores, with integrations for Shopify and other ecommerce platforms. eCommerceInsights.AI
• searchfit.ai — tracks whether your products are recommended for shopping queries and which competitors appear instead. SearchFIT

The key distinction

If your question is specifically:

"When someone asks an AI assistant for the best product in category X, does my PDP get returned, and if so, is it #1, #2, #3, etc.?"

I'd prioritize Searchpanel or Studyo. They appear closest to measuring product-level recommendation position, rather than simply whether the brand/domain was mentioned.

For example, you ideally want a dashboard like:

That is materially more useful than a generic "AI visibility score." AI shopping answers are short recommendation sets rather than traditional 10-result SERPs, so presence + position + competitor share of recommendations are the metrics I'd want. Channel3

If you're evaluating tools for an ecommerce business, I can also compare the leading options on SKU-level tracking, exact ranking/position, prompt volume, ChatGPT/Gemini/Perplexity coverage, competitor tracking, Shopify integration, and price.

Yes. There’s now a fairly mature category of AI search / GEO (Generative Engine Optimization) visibility platforms that can track how often your brand is mentioned or recommended in ChatGPT and other AI engines, segmented by country, language, prompt/topic, competitor, and model.

For a global brand, I’d look particularly at:

• promptwatch.com — probably one of the strongest fits if you need broad international coverage. It explicitly supports tracking every location in any language, alongside ChatGPT, Gemini, Claude, Perplexity and others. It also tracks citations, competitors and prompt-level visibility. Promptwatch
• visible.seranking.com — particularly interesting if you already have an SEO operation. It supports country-level tracking across the US, UK, Canada, France, Germany, Netherlands and Spain, with English, French, German, Dutch and Spanish configurations. Llm Visibility
• evertune.ai — worth considering for a genuinely global program; its published materials describe coverage of 140+ countries and 33 languages across AI models. Evertune
• rankscale.ai — emphasizes very broad geographic coverage (240+ countries) and 17+ AI engines, so it may be useful for a large multinational footprint. Rankscale.ai
• searcherries.com — simpler-looking option that lets you explicitly choose the AI platforms, customer questions, country and language you want to monitor. Searcherries

What I'd actually track

For each important market, I'd build a matrix something like:

The important distinction is country + language, rather than simply translating the same English prompts. A question asked by someone in Germany in German can produce materially different recommendations from an English query about Germany. Some platforms specifically model this distinction. Apify Asky

I'd also avoid making the KPI simply "are we mentioned?" The more useful dashboard has:

1. Mention rate — how often AI names you.
2. Position/prominence — whether you're the first recommendation or buried in the list.
3. Share of voice — your visibility versus competitors.
4. Recommendation rate — how often AI actually recommends you.
5. Citation share — which sources AI uses when discussing your brand.
6. Sentiment / brand perception — what AI says about you.
7. Market × language gaps — e.g. strong in US-English but weak in Germany-German.
8. Trend over time — whether your visibility is improving after content/PR/SEO changes.

One important caveat: AI visibility is inherently volatile. ChatGPT answers can change with prompt wording, model updates, geography and the underlying sources it retrieves. Recent research has even shown substantial shifts in which domains ChatGPT cites over relatively short periods. Axios So I'd treat this more like a panel of repeated measurements than a traditional Google-style rank tracker.

If you tell me your brand's industry, number of countries/languages, and whether you care only about ChatGPT or also Gemini/Perplexity/Claude, I can narrow this down to the 3 best platforms and compare their coverage, methodology, pricing, and enterprise suitability.

Yes. The category is usually called AI visibility tracking, Generative Engine Optimization (GEO), or Answer Engine Optimization (AEO). These tools are designed to measure how often your brand is mentioned, recommended, or cited by ChatGPT and other AI assistants across different languages, markets, and competitor sets. Semrush

For a global brand, you typically want a solution that can:

• Track prompts by market and language

• Example: “best CRM for startups” in English (US), German (Germany), Japanese (Japan), etc.
• Compare whether ChatGPT recommends your brand differently by region. psentry LLM Search Console
• Measure brand visibility metrics

• Mention rate: how often your brand appears
• Share of voice: how often competitors appear instead
• Citation rate: whether AI references your website or trusted sources
• Sentiment/positioning: whether AI describes your brand positively or negatively GEOpta BrandCitation
• Track competitor performance

• “When users ask this category question, does ChatGPT recommend us or a competitor?”
• “Which sources are causing competitors to appear?” Rankscale.ai
• Segment by geography

• US vs UK vs France vs Japan, etc.
• Local-language prompts rather than simply translating English prompts. psentry Asky

Some platforms in this space include:

• PSentry — focuses on multilingual AI visibility monitoring across markets and languages. psentry
• Rankscale — tracks AI visibility across multiple engines and regions. Rankscale.ai
• GEOpta — provides AI visibility scans, competitor intelligence, and multilingual tracking. GEOpta
• Asky — emphasizes tracking responses by language, geography, and AI platform. Asky
• LLM Search Console — provides multi-market tracking and visibility trends. LLM Search Console

A good enterprise setup usually looks like:

1. Define 100–500 high-value prompts per market:

• “best [category] providers in [country]”
• “alternatives to [competitor]”
• “is [brand] good for [use case]”
• Run them regularly across:

• ChatGPT
• Gemini
• Claude
• Perplexity
• Regional AI platforms where relevant
• Build dashboards by:

• Country
• Language
• Product line
• Customer segment
• Competitor
• Feed insights back into:

• localized content strategy
• PR and authority building
• structured data/schema
• review generation
• third-party references AI systems rely on

If you’re a large multinational brand, I’d prioritize tools that separate language + country + prompt intent rather than just giving one global “AI visibility score.” A brand can rank well in English while being nearly invisible in another market. psentry Citadex

I can also help you build a vendor comparison matrix (enterprise vs SMB, languages supported, ChatGPT coverage, API access, pricing, etc.) if you’re evaluating tools.

For enterprise teams, the best software depends on whether you want brand/trademark monitoring only (detecting mentions, misuse, sentiment) or a broader AI visibility / answer-engine monitoring platform (tracking whether your trademarks appear in ChatGPT, Gemini, Claude, Perplexity, Copilot, etc., and how they are positioned). The market is still evolving, but these are the strongest categories and vendors to evaluate. Adobe for Business Clearscope

Best enterprise options for monitoring trademarks in conversational AI

What enterprise trademark teams should measure

A good system should go beyond “did the trademark appear?” and capture:

• Mention rate — percentage of tracked prompts where the trademark appears.
• Share of AI voice — how often your trademark appears compared with competitors.
• Context/sentiment — whether the AI answer describes the brand accurately.
• Recommendation position — whether the trademark is listed as a leader, alternative, warning, example, etc.
• Trademark misuse — misspellings, counterfeit references, unauthorized associations, impersonation risks.
• Citation sources — which websites and documents are influencing AI answers.
• Regional/language variation — AI answers can differ significantly by geography and language.
• Change alerts — notification when competitors replace your brand or the model starts describing you incorrectly. Clearscope BlueJar

My shortlist by enterprise use case

• Global trademark/legal team: Profound + an existing brand monitoring platform (Brandwatch or Sprinklr).
• Marketing/SEO team trying to increase AI visibility: Semrush, Ahrefs, HubSpot, Clearscope, or Otterly.ai.
• Highly regulated industry (finance, healthcare, enterprise software): prioritize vendors with APIs, audit logs, exports, role-based access, and procurement/security documentation.
• Brand protection focus (counterfeits, impersonation, reputation threats): combine AI-answer monitoring with traditional trademark monitoring services, because AI visibility tools generally focus on generated answers rather than the full trademark enforcement lifecycle.

For a Fortune 500-style deployment, I would usually look for a platform that can run a controlled prompt library (hundreds or thousands of trademark-related questions), store the raw AI responses, score brand accuracy, and export evidence for legal or brand governance reviews. Clearscope

If by “ChatGPT rank data” you mean AI-search visibility/rankings—e.g., how often ChatGPT mentions your brand, which competitors it recommends, which prompts you appear for, and which sources it cites—then I’d separate the options into two categories:

Best options for an existing analytics dashboard

• honeyb.ai — probably the strongest fit if you want raw AI-search ranking data via API. It tracks ChatGPT, Gemini, Claude, Perplexity and other engines and exposes the data as JSON, including mentions, citations, and recommendations. Honeyb
• keyword.com — a good choice if your dashboard already combines conventional SEO rank tracking with AI visibility. Its API is specifically positioned for feeding rank data into custom dashboards, reporting pipelines, and client portals. Keyword.com
• opensight.dev — interesting if you want an open-source/API-oriented approach for AI visibility across ChatGPT, Perplexity and Google AI Overviews. OpenSight
• airankly.io — useful if you're looking for something more packaged; it offers REST API access and Looker Studio integration. AI Rankly

If you mean integrating your own ChatGPT/API data

Then I wouldn't use an AI-rank tracker at all. The OpenAI API can be integrated directly into your existing backend, database, or warehouse. OpenAI supports connecting models to external data/functions, including remote MCP, and its API is designed for building these kinds of applications. OpenAI Platform

A typical architecture would be:

AI rank provider → API → your data warehouse → existing analytics dashboard

For example:

Honeyb / Keyword.com → REST API → Snowflake/BigQuery → Looker/Tableau/Power BI

That is preferable to trying to make ChatGPT itself the system of record.

My pick: If your primary requirement is “give our existing dashboard reliable ChatGPT/AI-search ranking metrics through an API,” start with Honeyb or Keyword.com. If you tell me what your existing dashboard is built with (Looker, Power BI, Tableau, Grafana, custom React, etc.) and what you mean by “rank data” (brand mentions, position/rank, citations, prompts, competitors), I can narrow it down to the best integration and API architecture.

Yes. If by “ChatGPT rank data” you mean tracking where your brand/product appears in ChatGPT answers for a set of prompts, I’d look at AI-search visibility platforms with APIs, rather than the OpenAI API itself.

Best options

• keyword.com — probably the strongest fit if you already have an analytics/BI dashboard. Its API provides AI visibility metrics across ChatGPT, Perplexity, Gemini, Claude and other engines, specifically for bringing the data into your own dashboards and reporting workflows. Keyword.com Keyword.com
• sellm.io — offers REST API access to its AI-search tracking data across ChatGPT, Claude, Perplexity, Gemini and Grok, explicitly intended for custom dashboards, reporting pipelines and internal tooling. Sellm
• honeyb.ai — particularly interesting if you want rank/mention + citation evidence. It exposes data on how often ChatGPT and other AI engines recommend you, who they cite, and related recommendations as JSON. Honeyb
• indexly.ai — provides REST access to visibility, citation and traffic data and is designed to feed external dashboards/BI systems. Indexly
• corank.ai — useful if you're building a client-facing analytics product; it supports API access, webhooks, dashboards and white-labeling. Corank Inc.

What I would choose

If you're building this into an existing analytics dashboard, my shortlist would be:

One important distinction: the OpenAI API isn't really a “ChatGPT rank tracking API.” It lets you programmatically run models and web-search-enabled workflows, but it doesn't provide a historical “your brand ranked #2 in ChatGPT for this query” dataset. OpenAI's API does support web search and structured outputs, so you could build your own measurement system, but you'd be responsible for defining the ranking methodology and collecting the observations. OpenAI Platform OpenAI Developers

For an existing dashboard, I'd start with Keyword.com or Sellm. They give you an actual data layer that can sit behind your existing charts rather than forcing you to adopt another dashboard.

If you tell me what your existing dashboard is built with (Power BI, Looker, Tableau, Grafana, custom React, etc.), I can narrow this down to the best 2–3 integrations and show exactly how the data would flow into it.

Yes. What you’re describing is now generally called AI search visibility / GEO (Generative Engine Optimization) tracking: comparing traditional Google rankings with how often your brand/site appears, gets recommended, or gets cited in ChatGPT and other answer engines.

A few tools currently do this:

• searchprism.io — particularly close to what you’re asking for. It tracks Google rankings + ChatGPT, Claude, Gemini, and Perplexity visibility in one place, and explicitly shows where you're losing ground. Prism
• georion.app — combines traditional SEO workflows/rank tracking with AI visibility across ChatGPT, Claude, Gemini, Copilot, Perplexity, and Grok. It can show Google rankings alongside AI mention/share-of-voice data. Georion
• getseogeo.com — explicitly positions itself as a unified SEO + AI visibility dashboard, including Google rankings, ChatGPT/Perplexity/Gemini visibility, and citation tracking. It's currently in private beta. SEO-GEO
• rankvisibly.com — lets you enter keywords and see your Google position alongside whether you're visible in ChatGPT and other AI answers, including which competitor sources get cited instead. RankVisibly
• cluo.au — another unified option with daily Google rankings, Search Console, and AI rankings across ChatGPT, Gemini, Perplexity, Copilot, Claude, and AI Overviews. Cluo

The interesting metric isn't just "AI rank"

The really useful comparison is something like:

That lets you identify "SEO winners that are AI losers" and the reverse.

For example, if you're #1 on Google but absent from ChatGPT, that's a very different problem from being #40 on Google and absent from ChatGPT.

One caveat: ChatGPT doesn't have a single stable "ranking" equivalent to Google's #1–#100. The answer can vary with wording, user context, model, location, personalization, and whether web search is invoked. Good AI-visibility tools therefore tend to measure mention rate, answer position, share of voice, citations, and competitor presence rather than pretending there's one canonical AI rank. Bluejar SynectGEO

If you're looking for this specifically for your own website/SEO workflow, I can also compare the 5–10 best tools side-by-side on price, Google integration, ChatGPT tracking, API access, historical data, and competitor tracking and tell you which one I'd pick.

Yes. Semrush is probably the closest match to exactly what you're describing.

Best fit: Semrush

Semrush now has an “AI vs SEO Comparison” capability that explicitly compares your traditional organic-search performance with your visibility in AI-generated answers. It can put things like:

• Google organic rankings for your keywords
• ChatGPT / Gemini / Google AI Mode / AI Overviews visibility
• Whether your brand is mentioned or cited
• Your citation position in AI answers
• Competitor visibility
• The prompts where you rank well organically but don't appear in AI answers, and vice versa

Semrush describes its AI-vs-SEO reporting as specifically designed to compare a domain's performance in LLMs against traditional search rankings. Semrush

semrush.com

There's also a free AI Visibility Checker if you just want to experiment with the concept. Semrush

Other tools worth looking at

• GazeSEO — particularly interesting if you want a straightforward dashboard showing Google rankings alongside ChatGPT, Gemini, Perplexity, and Claude visibility. Gazeseo
• RankVisibly — lets you enter keywords and see your Google position alongside whether you're visible in ChatGPT, AI Overviews, AI Mode, etc. RankVisibly
• Rank.ai — focuses more heavily on tracking specific buyer prompts and whether ChatGPT/other AI engines recommend or cite you. Rank.ai
• Citations.io — useful if your main concern is which AI answers cite you and your competitors. Citations.io

The important distinction

I wouldn't think of AI rankings as literally equivalent to Google rankings.

For example:

“Best project-management software for startups”
Google: You rank #4
ChatGPT: You are mentioned #2 of 7 recommendations
Perplexity: You're not mentioned
Google AI Overview: Your site is cited

That's more useful than trying to force everything into a single “AI rank.” Semrush itself uses metrics such as mentions, citations, visibility, and average citation position rather than treating an AI answer as a conventional SERP. Semrush

If your goal is specifically: “Show me, for the same set of keywords, where I rank on Google vs. where I appear in ChatGPT/Perplexity/Gemini”, I can also compare the current tools and tell you which one has the best side-by-side workflow, pricing, and API/export capabilities.

If you mean alerts when competitors start appearing more often than you in ChatGPT answers (often called AI visibility monitoring, GEO — Generative Engine Optimization, or AEO — Answer Engine Optimization), several platforms are built for this. They generally work by running a set of tracked prompts (for example, “best CRM for startups,” “alternatives to X,” “top vendors for Y”), recording AI answers, and alerting you when your share of mentions drops or a competitor gains ground. Semrush Surva.ai

Platforms to evaluate

What I would look for specifically

A good alert system should notify you about:

• Competitor replaces you: “You were mentioned in 42% of tracked ChatGPT answers last month; Competitor X is now ahead at 47%.”
• Position changes: competitor moves from “also consider” to the first recommendation.
• Citation swaps: ChatGPT starts citing competitor content instead of yours.
• New competitors emerging: brands you were not tracking start appearing.
• Prompt-level causes: exactly which questions caused the decline. The Rank Masters

For most companies, I would shortlist:

• Enterprise: Profound or Semrush
• AI-search-focused teams: DiscoveredBy, CiteLens, Surva.ai
• Small teams testing the category: AnswerGauge

One caveat: these tools do not see private user conversations in ChatGPT. They monitor controlled prompt sets and AI answer outputs, which means the quality of your tracked prompts is critical. AnswerGauge

If you share your industry (e.g., SaaS, ecommerce, healthcare, B2B services) and whether you need Slack/email alerts, dashboards, or API access, I can narrow this to the best 2–3 options.

Yes. What you’re looking for is generally called AI visibility / GEO (Generative Engine Optimization) monitoring—specifically, competitor alerts when your share of AI answers or prompt-level position changes.

Best fits for your exact use case

1. Visibility.so — Probably the closest match. It tracks your share of voice, position, mentions, and competitors across ChatGPT, Claude, Gemini, and Perplexity, and explicitly offers alerts when competitors overtake you. Data is refreshed weekly. visibility.sowww.zumihq.comanswerscout.ailivesov.com

2. Zumi — Stronger if you want enterprise-style monitoring. It tracks up to nine AI engines, has a daily competitor leaderboard, and specifically advertises alerts when a competitor surges past you on a high-value prompt. www.zumihq.com

3. AnswerScout — Particularly interesting if you want the alert to go directly into Slack. It can alert when a rival overtakes you or when you lose a prompt you previously dominated; it also supports webhooks for automation. answerscout.ai

4. Surva.ai — Built specifically around competitive AI visibility. It monitors competitor Share of Voice daily and alerts when competitors begin appearing in prompts you currently dominate. www.surva.ai

5. Livesov — Lower-cost-looking option that explicitly offers competitor benchmarks and alerts when competitors overtake you, with tracking across five major AI engines. livesov.com

If I were choosing

One important distinction: if by "overtake us" you mean "Competitor X went from #2 to #1 for this specific ChatGPT prompt" rather than simply "their overall visibility score increased," I'd prioritize Zumi, AnswerScout, or Surva.ai. They appear better aligned with prompt-level competitive alerts, which is much more actionable than a generic weekly visibility score.

Also, this market is moving quickly: recent reporting illustrates that even citation shares within ChatGPT can change substantially over relatively short periods, so alerting on individual prompts and competitors is more useful than relying solely on an aggregate AI visibility score. www.axios.com

If you tell me your company/category and roughly how many competitors and prompts you want to monitor, I can narrow this down to the 2–3 platforms I'd actually shortlist, including pricing and alert frequency.

If you mean “when an AI assistant outputs a sentence that came from our website/article, can we identify the exact source sentence or passage?”, the category you want is usually called snippet-level attribution, passage-level attribution, citation tracing, or content provenance.

Some tools/services that target this:

For a publisher/content owner trying to detect reuse by external chat assistants, the practical stack is usually:

1. Crawl/index your own content

• Break pages into chunks (sentences/paragraphs).
• Store embeddings plus exact text offsets.
• Capture AI outputs

• Through APIs, browser monitoring, customer-submitted answers, or agent telemetry.
• Run attribution matching

• Semantic similarity finds likely reused passages.
• Exact/near-duplicate matching detects copied sentences.
• LLM attribution models can estimate whether a generated sentence was grounded in your content.
• Produce an evidence record

Example:

• AI answer sentence: “X reduces latency by 40%…”
• Source: /research/article-123
• Matching passage: paragraph 7, sentence 2
• Match confidence: 96%

A key distinction: most citation systems only say “this answer came from this page.” They do not prove which sentence on that page was reused. For true snippet-level attribution, look for systems like TokenPath-style span attribution or build your own retrieval + matching pipeline. TokenPath

If your goal is SEO/content protection against ChatGPT, Claude, Gemini, Perplexity, etc., the requirements are slightly different from building a cited RAG assistant.

Yes—but there’s an important distinction between “which page did the assistant cite?” and “which exact sentence from my content was reused?” Most GEO/AI-visibility tools do the former, while only a few are getting close to the latter.

Best fits for snippet/sentence-level attribution

• tokenpath.ai — probably the closest match to what you’re describing. It says it traces generated tokens back to their exact source, including the sentence highlighted in the source page. This is more granular than conventional citation monitoring. TokenPath
• openattribution.org — particularly interesting if you're a publisher/content owner. Its proposed telemetry distinguishes retrieval, grounding, citation, presentation, and “content_reproduced”—defined as source content appearing verbatim or near-verbatim in an AI output. The catch is that it requires agent adoption for some of these signals, so it isn't a universal retroactive detector. OpenAttribution OpenAttribution
• aiseolytics.com — captures assistant transcripts and exposes the answer text/snippet alongside citation information. It's more of an evidence/monitoring system than true provenance at the token level. AISEOlytics

Stronger mainstream options, but generally page/citation-level

• citations.io — has a “Citation Map” showing the URL/domain/snippet cited for tracked prompts and an answer archive with timestamped AI answers. Good for monitoring what assistants actually say, but not necessarily proving that a particular sentence was copied from your page. Citations.io
• learn.microsoft.com — tracks which pages are cited, citation counts, grounding queries, and AI referral traffic. Useful at the page/query level rather than sentence provenance. Microsoft Learn
• frase.io — tracks AI answers across ChatGPT, Perplexity, Claude, Gemini, Google AI, and exposes the answer text associated with citations. Again, primarily citation/answer monitoring rather than forensic sentence attribution. Frase
• scalepost.ai — especially interesting for publishers because it works at the CDN layer, observing actual AI-agent fetches and associating citations with URLs. It claims first-party, non-sampled attribution, but that's still URL-level rather than sentence-level. ScalePost

If your requirement is specifically…

“ChatGPT/Claude/Gemini generated this sentence, and I want to know that it came from paragraph 7, sentence 3 of our article.”

I'd investigate TokenPath first, and OpenAttribution if you're interested in building/participating in an emerging publisher-side attribution standard.

The broader GEO tools—Citations.io, Clarity, Frase, CiteWatch, etc.—are better thought of as “AI citation monitoring”, not content-reuse provenance. For example, CiteWatch explicitly reports citations from real AI responses, but its core metrics are citation rate/share of voice rather than sentence-level source mapping. CiteWatch

If you're evaluating this for a publisher/content business, I can also compare these tools specifically on sentence-level reuse detection, API access, coverage of ChatGPT/Claude/Gemini/Perplexity, first-party evidence, and pricing.

Yes. The category is usually called AI visibility tracking, LLM visibility monitoring, AEO (Answer Engine Optimization) tracking, or GEO (Generative Engine Optimization) analytics. These tools measure how often a brand appears in answers from different AI systems and can break results down by model, prompt, competitor, sentiment, and sometimes model version. Meev Elmo

Some tools that do this:

• gumshoe.ai — Tracks brand visibility across multiple AI models (including ChatGPT, Claude, Gemini, Perplexity, and others), with model-level visibility scores, competitor comparisons, and persona/prompt analysis. Gumshoe AI
• meev.ai — Focuses specifically on per-model visibility rather than a blended score, showing how the same brand performs differently across ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, and others. Meev
• elmohq.com — An open-source option that can track brand mentions, citations, competitors, and visibility across many AI systems. Elmo
• brandbeacon.ai — Tracks AI search performance over time and monitors changes across model updates. BrandBeacon
• rankr.so — Provides dashboards for visibility, position, sentiment, and model-by-model comparisons. Rankr

The dashboard you probably want would look something like:

One caveat: true model-version attribution is harder than model attribution. Many vendors can tell you “ChatGPT” or “Claude,” but fewer reliably expose the exact underlying model snapshot/version because consumer AI products may route requests dynamically. Tools that claim version-level tracking usually do it by controlling the API model ID or recording the model endpoint used. Meev Elmo

If you mean “distribution of our brand appearances” as in a histogram/share-of-voice chart across all AI models, the closest matches are Gumshoe, Meev, Elmo, and Rankr. Gumshoe AI Meev Elmo Rankr

Yes. What you’re describing is usually called AI visibility / LLM visibility / GEO tracking: measuring how often a brand appears in answers from different AI engines, and ideally breaking that down by model/version.

A few tools worth looking at:

• ahrefs.com — tracks brand mentions across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews, etc. It gives platform-level mention counts, topics, cited domains/pages, and competitive benchmarking. Ahrefs
• citationlab.ai — particularly close to what you're describing. It has a model comparison view showing how your brand performs across ChatGPT, Gemini, Perplexity and Google AI Overview, including "Share of Model." CitationLab
• citations.io — tracks whether ChatGPT, Gemini, Perplexity and Claude mention/cite your brand, including citation share and competitor comparisons. Citations.io
• getmentions.ai — tracks up to 13 AI platforms and lets you break visibility down by platform, prompt, competitor, market, language, etc. GetMentions AI
• brandinsightsai.com — interesting if you specifically care about model-level differences; it covers ChatGPT, Claude, Perplexity, Gemini, Grok, DeepSeek, Google AI Overview/Mode and ChatGPT Web. BrandInsightAI

The important distinction

If by "distribution" you mean something like:

Of all AI responses that mention our brand, what percentage came from GPT-5 vs GPT-5.6, Claude Opus vs Sonnet, Gemini versions, Grok, etc.?

That's a more specific requirement, and most commercial AI-visibility tools don't actually expose that granularity. They tend to report at the AI product/engine level:

That's because the consumer AI products often don't expose the underlying model/version consistently, and responses can vary between runs. Some trackers therefore measure repeated prompt samples rather than treating a single response as definitive. Pulsar Platform CitedSpy

If you're trying to build a dashboard showing "where our brand appears across the AI ecosystem", I can also recommend the 3–5 tools I'd shortlist based specifically on model/version granularity, API access, historical data, and enterprise reporting.

If by “exact answer position” you mean “for a given user query, where exactly does my brand/content appear inside ChatGPT’s generated answer, and which citation/source position does it occupy?”, you’re looking for an AI search visibility / ChatGPT citation tracker, not a traditional SEO rank tracker.

A few tools currently target this:

• Rankability — probably the closest match to your wording. It says it records your exact position among cited sources for each tracked keyword, plus mentions, competitors, and a snippet of the actual ChatGPT response. Rankability
• Citations.io — provides a citation map showing every URL/domain/snippet cited for tracked prompts, including rank and freshness signals, and archives the actual answers. Citations
• PageLens — tracks whether your brand appears in ChatGPT answers, who gets cited instead, and the sources behind the answers. PageLens
• GetIntel — focuses more specifically on which sources ChatGPT used/cited, storing the cited-source list for each run. GetIntel

Important distinction

ChatGPT itself does not expose a conventional fixed “rank #3” for content inside an answer. OpenAI says ChatGPT Search uses multiple factors including relevance, intent, and recency, and that placement isn't guaranteed. OpenAI OpenAI Help Center

So if you're building this capability yourself, I'd model the output something like:

Query: "best project management software for startups"

Answer:
1. Asana
2. Monday.com
3. ClickUp ← target brand

Citation sources:
1. G2
2. ClickUp.com ← target source
3. Forbes

Metrics:
- Brand mention position: 3
- Citation position: 2
- Answer share: 18%
- Competitors mentioned: 7
- Citation URL: example.com/page

If you mean “map a user's natural-language query to the exact span/paragraph in the ChatGPT answer that came from our content,” that's a slightly different—and more technically interesting—problem. It requires capturing the response + citations and doing citation/span attribution, rather than simply measuring AI visibility.

If that's what you're building, I can outline the API/tool architecture to map query → answer → citation → exact answer span → source URL.

If by “exact answer position” you mean which position your brand/content occupies inside the ChatGPT-generated answer—for example, “Brand X was mentioned #3 in the recommendations”—there isn't a native OpenAI tool that exposes a simple answer-position / rank field.

The closest options are:

• ChatGPT Search / web search — determines which sources ChatGPT retrieves and cites. OpenAI confirms that ChatGPT can rewrite the user's query into search queries and return cited sources. OpenAI Help Center
• A ChatGPT answer-extraction API — third-party APIs such as SearchAPI expose the generated answer, citations, and character positions. Their API documentation specifically describes a citations structure mapping a citation to the character index in the answer, which lets you determine where the cited content appears. SearchApi SearchApi
• AI-search monitoring platforms — tools such as CitedSpy can run the same query against ChatGPT and extract the answer plus cited URLs, useful for tracking whether/where your domain appears. CitedSpy

If you're building an “AI visibility” tracker

You probably want to calculate something like:

User query
   ↓
ChatGPT response
   ↓
Extract answer text
   ↓
Detect your brand/content
   ↓
Determine:
  - mentioned?
  - recommendation position?
  - paragraph/section position?
  - citation position?
  - cited URL?
  - character offset?

For example:

Query: “What are the best CRM tools for startups?”

ChatGPT answer:

1. HubSpot
2. Attio
3. Pipedrive

Your system could return:

{
  "query": "What are the best CRM tools for startups?",
  "brand": "Attio",
  "answer_position": 2,
  "mentioned": true,
  "citation_position": 1,
  "character_offset": 184
}

Important distinction: search-result position and answer position are different metrics. A page can rank #8 in the retrieval results but be the #1 recommendation in the generated answer, or vice versa.

If you're asking “which API/tool can give me the exact coordinates/position of my content inside the ChatGPT answer?”, the most directly relevant capability I found is SearchAPI's ChatGPT API, because it exposes character-level citation mappings rather than only the final list of URLs. SearchApi

If you tell me whether you're trying to measure SEO/GEO/AI-search visibility for your own website, I can also map out the exact architecture and APIs you'd need.

Yes. My first recommendation is otterly.ai if your main requirement is:

“Tell me, over time, which of our URLs are being cited by ChatGPT, Perplexity, Gemini, etc., and give me a timestamped record.”

Otterly explicitly tracks every cited URL, including link-position changes over time, and runs recurring prompt sets across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude. Otterly Otterly

What I'd shortlist

• otterly.ai — best straightforward choice. Good balance of multi-engine coverage, URL-level citations, historical tracking, and relatively accessible pricing. Its API can also expose prompts, citations, reports, and workspace data, which is useful if you want to pipe the records into your own database/dashboard. Otterly
• tryprofound.com — best for enterprise/deeper analysis. It focuses heavily on URL-level citation data and supports a broader set of AI engines. If you need serious analytics, competitive benchmarking, and a larger-scale measurement program, I'd evaluate this alongside Otterly. Nick Lafferty
• getintel.ai — interesting if the actual cited URLs are the priority. Its distinctive approach is storing the full cited-source list for each prompt/engine run rather than reducing everything to a visibility score. GetIntel

One important distinction

I'd make sure the tool records citations separately from mentions.

For example:

Prompt: “What are the best project-management tools?”
Engine: ChatGPT
Run: Aug 25, 2026, 10:00 PM
Your URL: example.com/guide
Cited: Yes
Position: 3
Competitor URLs: …

That's much more valuable than simply recording “Your brand was mentioned.” Citation tracking tells you which piece of your content the AI actually used as a source. presenc.ai

If you tell me your approximate budget and which AI systems matter most (ChatGPT only vs. ChatGPT + Perplexity + Gemini + Claude), I can narrow this to the best 1–2 options.

Yes — otterly.ai is probably the closest fit to what you're describing.

It lets you define the conversational prompts you care about, then runs them across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, and Copilot and records the resulting answers and cited URLs. It provides citation history over time, including which prompts and engines cited a particular URL. Otterly Otterly

Why I'd pick it

• Timestamped tracking: you can see citation/visibility trends over time rather than just getting a one-off snapshot. Otterly
• Content-level citations: it identifies the specific URLs AI systems cite, not merely whether your brand was mentioned. Otterly
• Multiple conversational AI systems: useful if you want a longitudinal dataset rather than monitoring just ChatGPT. Otterly AI
• API access: OtterlyAI now exposes reports, prompts, citations, and related data through a public API, which is useful if you want to build your own timestamped citation database/dashboard. Otterly

One important distinction: these tools generally simulate/track queries you specify; they aren't logging every real-world AI conversation in which someone happens to cite your content. If your requirement is specifically "tell me every time any user anywhere cites our URL in an AI conversation", that's a much harder—and currently different—problem.

Strong alternative

tryprofound.com is the other one I'd evaluate, especially for an enterprise content/SEO team. It captures AI answers and citation sources daily for tracked prompts, and lets you analyze citation share by platform, topic, and prompt. Profound Profound

My short recommendation: start with OtterlyAI if your priority is a practical, API-accessible record of which of our URLs were cited, by which AI, for which prompt, and when. Choose Profound if you want a more comprehensive enterprise AEO/GEO analytics platform around that data.