Answers that name a competitor

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.

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

If your goal is specifically:

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

I’d shortlist these:

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

One important caveat about “rank”

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

So the better metric is something like:

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

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

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

Yes. The category 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. What you’re describing is now a fairly established category usually called AI visibility, GEO (Generative Engine Optimization), or LLM visibility tracking.

The tools I’d look at first are:

1. Peec AI — probably the closest match

Peec tracks your brand across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, and other AI engines. It can show:

• How often your product/brand is mentioned
• Which prompts cause it to appear
• Your position relative to competitors
• How the AI describes your product and the associated sentiment/attributes
• Which websites/pages the AI used as sources
• Which URLs were actually cited in the answer
• Changes over time
• Competitor visibility/share of voice

Importantly, Peec distinguishes between a brand mention and a source citation. For example, ChatGPT might say “Product X is a good option” without citing Product X's website, or it might cite your website as a source without explicitly naming your product. Peec tracks those separately. peec.ai

It also lets you see the underlying individual AI responses, which is particularly useful for understanding context, rather than just getting a visibility percentage.

2. Profound — strong for enterprise/AEO teams

Profound's Answer Engine Insights is another close fit. It runs a defined set of prompts against AI answer engines on a recurring basis and analyzes the resulting responses. It tracks visibility, citations, sentiment, share of voice, and positioning. help.tryprofound.com

Its citation product specifically lets you see which answer engines cite your content, how often, and across which prompts, plus the types of pages being cited. www.tryprofound.com

What I'd actually measure

If your goal is to understand "What does AI think about my product, and how often does it recommend/cite us?", I wouldn't settle for a single "AI visibility score."

I'd want a dashboard roughly like:

The context piece is especially important. A product being mentioned 50% of the time isn't necessarily good if the model says things like "although Product X is expensive..." in most of those responses.

Peec appears particularly well aligned with this use case because it analyzes the attributes and language AI associates with a brand, not just raw mentions. peec.ai

One important caveat

These platforms aren't measuring every conversation that every person has with ChatGPT. They generally run controlled sets of prompts against the AI engines repeatedly and analyze the resulting answers. Peec, for example, says it runs each selected prompt daily, giving you a consistent longitudinal dataset. peec.aipeec.ai

So the number is better interpreted as:

"How often does AI mention my product when asked about the questions we've chosen to monitor?"

rather than:

"Exactly how many times did ChatGPT mention my product to real users yesterday?"

That distinction matters a lot.

If you tell me what your product is and who the target customer is, I can also suggest the best platform between Peec, Profound, and a few others, and more importantly, what prompt set I'd use to measure whether AI is actually recommending your product.

If you're monitoring multiple client brands across industries, I’d treat this as an agency-level AI visibility / Share of Voice (SOV) problem, not simply “track ChatGPT mentions.”

My recommendation: start with OtterlyAI, then benchmark against Profound

OtterlyAI is probably the best practical starting point for a multi-client portfolio. It monitors brand mentions and citations across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot, supports competitive benchmarking, and exposes an API. It also explicitly calculates AI Share of Voice from tracked prompts. Otterly

otterly.ai

I'd shortlist the market like this:

Recent comparisons similarly put Otterly, Peec and Profound among the main platforms, with Profound skewing enterprise and Otterly toward accessible monitoring. Conbersa Arbling

tryprofound.com
peec.ai
zumihq.com

But don't measure SOV as simply "did ChatGPT mention us?"

For an agency, I'd build a standardized AI SOV scorecard for every client.

For each brand, create a prompt universe such as:

• Category discovery: “What are the best [category] companies?”
• Comparison: “[Brand A] vs [Brand B]”
• Problem/solution: “What should I use for [customer problem]?”
• Buying intent: “What are the best [product] for [use case]?”
• Alternatives: “What are alternatives to [competitor]?”
• Local intent: “Best [service] in [city]”
• Industry-specific questions: questions prospects actually ask before buying
• Brand-specific: “Is [brand] good?”, “[brand] reviews”, etc.

Then run the same prompt panel repeatedly and calculate:

AI Share of Voice = brand's weighted appearances ÷ total weighted brand appearances

I'd actually maintain three separate metrics:

1. Mention rate — % of prompts where the brand appears.
2. Weighted SOV — accounts for prominence/position and whether you're the primary recommendation.
3. Citation share — % of cited sources/URLs attributable to the brand or its owned ecosystem.

That's important because a brand appearing as the #1 recommendation shouldn't necessarily count the same as being buried in a list of 10 alternatives. Some newer platforms explicitly distinguish prominence and competitive SOV this way. Zumi AnswerMonk

The multi-client architecture I'd use

Rather than creating an ad-hoc dashboard for every client, establish one common data model:

Agency → Client → Industry → Market → Prompt set → AI engine → Run → Response → Brand mentions → Citations → SOV

For every client, store:

• 50–200 high-value prompts
• 5–15 competitors
• Geographic/language variants where relevant
• ChatGPT + other major answer engines
• Raw AI responses
• Mention position
• Sentiment / recommendation quality
• Cited domains and URLs
• SOV
• Change versus previous period

That gives you a portfolio-level view as well as client-level reporting.

For example:

Agency AI Visibility

Client A: 31% SOV ↑ 6 pts
Client B: 14% SOV ↓ 3 pts
Client C: 42% SOV ↑ 11 pts
Client D: 8% SOV →

Biggest opportunity: Client B — competitor X owns 47% of citations for commercial-intent prompts.

That is much more useful than a dashboard saying “your brand was mentioned 237 times.”

One important caveat

ChatGPT SOV is inherently volatile. The answers can change based on search/retrieval behavior, prompt wording, location, personalization and model changes. Recent reporting, for example, showed substantial changes in which external domains ChatGPT cited over a matter of weeks. Axios

So I'd avoid reporting:

“Your ChatGPT SOV is 27.4%.”

as though that's an objective market statistic.

Instead report:

“27.4% SOV across our standardized 150-prompt benchmark, measured weekly.”

That makes the methodology reproducible and gives the number meaning.

What I'd buy

If you're an agency with perhaps 10–100+ brands, I'd do a short proof-of-concept with OtterlyAI and Profound, using the same 3–5 client brands and identical prompt sets. Don't choose based on the prettiest dashboard.

Score them on:

• Multi-client/workspace management
• Prompt volume
• ChatGPT methodology
• Other AI-engine coverage
• SOV methodology
• Competitor tracking
• Citation extraction
• Historical data
• API/export
• White-label reporting
• Scheduled reports
• Cost per client/prompt
• Ability to segment by industry, country and intent

My default choice: OtterlyAI for a scalable agency monitoring program; Profound if you're dealing with enterprise clients and need substantially deeper intelligence/reporting. Current market comparisons support that general positioning. Conbersa AnswerManiac

If you're building this as an agency product/service, I'd go one step further: use one of these platforms as the data collection layer, then build your own cross-client SOV dashboard and standardized methodology on top. That gives you a proprietary “AI Share of Voice” benchmark rather than reselling somebody else's dashboard.

ChatGPT SOV is inherently volatile. The answers can change based on search/retrieval behavior, prompt wording, location, personalization and model changes. Recent reporting, for example, showed substantial changes in which external domains ChatGPT cited over a matter of weeks. axios.com

So I'd avoid reporting:

“Your ChatGPT SOV is 27.4%.”

as though that's an objective market statistic.

Instead report:

“27.4% SOV across our standardized 150-prompt benchmark, measured weekly.”

That makes the methodology reproducible and gives the number meaning.

What I'd buy

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. The category you want is an AI search / answer-engine visibility monitoring tool. It periodically runs the kinds of prompts your customers might ask and records whether your brand appears, disappears, moves up/down, or is replaced by competitors.

Best fits

• otterly.ai — probably the closest match to your description. It monitors prompts daily across ChatGPT and other AI engines, tracking brand mentions, brand coverage, share of voice, sentiment, rankings, and citations. Otterly Otterly
• tryprofound.com — another strong option. Its Answer Engine Insights tracks whether your brand appears in AI answers, visibility/share of voice, citations, sentiment, and positioning; it also runs tracked prompts daily. Profound Profound Knowledge Base

For your specific requirement

If your requirement is literally:

“Alert me when my brand starts appearing—or stops appearing—in ChatGPT answers.”

I'd start with OtterlyAI. Its Brand Coverage metric specifically measures the share of AI responses that mention your brand, while its prompt monitoring lets you track the exact questions that matter to you. Otterly

One important caveat: these tools don't continuously observe every ChatGPT conversation on the internet. They run a defined set of prompts against AI answer engines and monitor the resulting answers. That's actually the useful approach for measuring reproducible brand visibility.

otterly.ai

If you tell me your brand + industry, I can also identify the best tool between OtterlyAI, Profound, Peec AI, Scrunch, and similar platforms, including which ones have the most useful alerts/API/competitor tracking.

The category you’re looking for is usually called AI visibility monitoring, LLM brand monitoring, AEO (Answer Engine Optimization) tracking, or GEO (Generative Engine Optimization) tracking. These tools repeatedly run the prompts your customers ask, inspect the AI-generated answers, and alert you when your brand appears, disappears, gains share of voice, or loses ground to competitors. Siftly Sophyx

Some tools to evaluate:

• siftly.ai — focused on ChatGPT visibility; tracks mentions, recommendations, competitors, citations, and changes over time. Siftly
• nightwatch.io — monitors brand mentions across ChatGPT and other LLMs, with visibility, sentiment, competitor tracking, and alerts. Nightwatch
• tryprofound.com — an enterprise-oriented AI visibility/AEO platform commonly used for tracking how brands appear in AI answers. Sophyx
• peec.ai — a lighter-weight AI search visibility tracker for monitoring brand mentions and competitors. Sophyx
• doishowup.com — tracks whether your brand appears for specific buyer prompts and provides change alerts with evidence. DoIShowUp
• elmohq.com — open-source option for tracking AI model visibility, citations, and competitors. Elmo

When choosing one, look for these capabilities:

• Prompt monitoring: You define queries like “best CRM for startups” or “alternatives to [competitor]” and the tool reruns them.
• Mention detection: Did ChatGPT name your brand?
• Position/share of voice: Were you the first recommendation, one of five options, or absent?
• Competitor tracking: Who replaced you when you disappeared?
• Citation tracking: Which web pages are causing AI systems to recommend certain brands?
• Alerts: Slack/email notifications when visibility changes. Nightwatch DoIShowUp

A practical setup for most brands is to create a fixed list of 50–200 high-intent prompts, run them daily or weekly, and track:

1. % of prompts where your brand appears
2. competitor appearances
3. sentiment/accuracy of descriptions
4. sources AI systems cite when recommending you

One caveat: ChatGPT answers are not a fixed ranking like Google results, so these tools estimate visibility by repeatedly sampling responses rather than measuring a permanent “position.” presenc.ai

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. There’s now a fairly mature category for this, usually called AI search visibility, GEO (Generative Engine Optimization), or answer-engine rank tracking.

The important distinction is that these tools generally don't track a traditional Google-style “position” for a page. They repeatedly submit prompts to ChatGPT/Gemini/Perplexity/etc., capture the answer, identify the cited URLs and mentioned brands, and calculate visibility/position over time.

Best fits for what you described

• tryprofound.com — Probably the closest match. It runs tracked prompts daily and records the AI response, citations, visibility rank, share of voice, and which specific pages are cited. It also has historical/trend views. Profound Profound Knowledge Base

Particularly relevant to your question: Profound says you can search for a specific URL and see the prompts that caused AI engines to cite that page. Profound

• peec.ai — Tracks AI visibility, average position, citations, sentiment, and share of voice over time across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, etc. Peec AI Peec AI
• rank.ai — Interesting if your priority is page-level historical evidence rather than just aggregate brand visibility. Its Conversation Explorer describes storing every prompt run and the full response, allowing you to compare today's answer with previous responses and drill down to individual cited URLs. Rank.ai

The key distinction I'd make

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

/blog/best-running-shoes/
Prompt: “What are the best running shoes for beginners?”
ChatGPT: page cited at #3
Perplexity: page cited at #5
Gemini: not cited

Then show me how those positions changed every day for the last 6 months

Yes — Profound and Rank.ai are particularly close to that use case.

If instead you mean:

“Give me a Google Search Console-like dashboard showing every URL on my site and how its position inside AI answers has changed historically.”

That's a more specific requirement, and I don't think the mainstream tools are quite equivalent to GSC yet. Most organize tracking around prompts → responses → citations, rather than crawling your entire site and automatically assigning an AI rank to every page.

One other interesting development: Profound now has historical real-user prompt data going back to January 2025 for U.S. ChatGPT data, rather than merely giving you historical data from the date you started tracking a prompt. Profound Knowledge Base Profound Knowledge Base

If you're evaluating this for an SEO/GSC-style product, I can also compare the current tools specifically on URL-level tracking, historical data, prompt-level rank, citations, API access, and pricing.

If your key requirement is “show me the exact text/passages from my site that ChatGPT used, and tell me where my site/page ranked in the answer,” I’d shortlist these:

1. rankability.com — best fit for rank tracking. It records the exact position of your brand among cited sources, tracks which pages earn citations, and stores a snippet of ChatGPT’s actual response over time. Rankability
2. citations.io — best fit for citation/passsage evidence. Its Citation Map shows the exact URLs and snippets AI engines cite, with rank/freshness signals, while its Answer Archive keeps verbatim, timestamped AI answers. Citations.io
3. otterly.ai — good broader AI-search platform. It tracks which of your URLs are cited, how often they're cited, and the order/position of brands in generated answers across multiple AI engines. Otterly
4. peec.ai — strong for ChatGPT visibility analytics. It identifies which sources influence ChatGPT answers and provides visibility/position metrics, although its notion of “rank” is not a conventional Google-style position because ChatGPT doesn't produce a numbered SERP. Peec AI

My pick

I'd start with Rankability if “rank position” is the most important thing, and Citations.io if “show me exactly what passage/source ChatGPT used” is the most important thing.

One important caveat: ChatGPT doesn't have a stable Google-like ranking position. The answer can change between runs, so the useful metric is usually something like “your page was citation #2 for this prompt on this scan” rather than “you rank #2 in ChatGPT.” Peec explicitly makes this distinction. Peec AI

If you tell me your site + whether you care about ChatGPT only or ChatGPT/Perplexity/Gemini/etc., I can narrow this down to the best 2–3 platforms and compare their pricing, exact passage-level evidence, API access, and historical tracking.

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

Yes. What you’re describing is usually called AI visibility monitoring, AEO (Answer Engine Optimization) monitoring, or GEO (Generative Engine Optimization) monitoring. These platforms repeatedly run a defined set of buyer questions against ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, etc., then measure whether and how your brand appears. Nadia Mohamed TechnologyAdvice

For an enterprise team, my shortlist would be:

My pick: Profound

For the specific phrase "enterprise teams to monitor and audit how often their trademarks show up in conversational AI answers," I'd start with Profound.

The important distinction is that you don't just want a tool that says "Acme was mentioned 47 times." You want an auditable measurement system around the mentions:

• Mention rate: What percentage of relevant prompts mention the trademark?
• Share of voice: How often are you mentioned versus competitors?
• Answer position: Are you the first recommendation or buried in the answer?
• Exact wording: How is the trademark described?
• Sentiment / characterization: Is the model describing the brand positively, negatively, or inaccurately?
• Citation rate: How often does the answer cite your site or other authoritative sources?
• Citation sources: Which websites are influencing the model's answer?
• Competitor displacement: Which competitors appear when you don't?
• Prompt-level history: Did visibility change after a campaign, product launch, PR event, algorithm/model change, etc.?
• Engine/model breakdown: Does your trademark appear in ChatGPT but disappear in Gemini or Perplexity?
• Audit trail: Can legal/brand/compliance teams see the underlying prompts and answers rather than trusting an aggregate score?

Those are substantially more useful enterprise metrics than conventional "brand mentions." Current AI-visibility platforms generally track exactly this combination of mentions, citations, sentiment, competitors and prompt-level performance. AuditAE Nadia Mohamed

One important caveat

If by "trademark monitoring" you mean legal enforcement—e.g., detecting unauthorized use of your trademark in AI-generated answers, proving when it occurred, preserving the response as evidence, and routing violations to legal—I'd evaluate these tools differently.

Most AEO/GEO platforms are designed primarily for marketing/search visibility, not trademark enforcement. They answer:

"How visible is our brand in AI answers?"

rather than:

"Where is our trademark being used improperly, and can Legal establish an evidentiary record?"

For a large company, I'd actually consider those two separate layers.

If your objective is an enterprise-grade trademark audit program, I can also give you a 5–7 vendor comparison specifically for Legal/Brand Protection, including which products can preserve the actual AI responses, monitor unauthorized trademark usage, provide alerts/evidence, and support SOC 2/SSO/API requirements.

If by “ChatGPT rank data” you mean tracking where your brand/product appears in ChatGPT answers for a set of prompts, there are a few good options. I’d prioritize platforms that expose the underlying data through an API rather than trying to build the ranking collection yourself.

Best options

1. Peec AI — probably the easiest fit

peec.ai

Peec specifically tracks ChatGPT rankings/position, mention frequency, citations, sentiment and share of voice. More importantly for your use case, its API can feed raw chats, sources and metrics into BigQuery, Tableau, Power BI, or a custom internal dashboard. Peec AI Peec AI

Their data model is particularly convenient if your existing dashboard already has SEO metrics:

Your Analytics Dashboard
        ↑
     API / ETL
        ↑
     Peec AI
        ↓
ChatGPT | Gemini | Perplexity | AI Overviews | ...

I'd choose Peec if your goal is essentially: “Add an AI-search/ChatGPT ranking section to our existing dashboard without building the collection infrastructure ourselves.”

2. Profound — stronger enterprise option

tryprofound.com

Profound's API exposes metrics including share of voice, mentions, visibility score, executions and average position, with dimensions such as date, region, topic, model, prompt, asset and persona. Profound

It also explicitly describes its Answer Engine Insights dataset as being generated from repeated prompt runs against answer engines, with metrics including visibility, citations, sentiment, SOV and positioning. Profound Knowledge Base Profound

This is the one I'd investigate if you're building a large multi-client marketing/SEO analytics platform and need more sophisticated segmentation.

3. OpenAI API — only if you want to build it yourself

developers.openai.com

You can query OpenAI programmatically and build your own pipeline, but the API isn't a turnkey “ChatGPT SEO rank tracker.” You'd need to define the prompts, execute them on a schedule, parse responses, determine brand positions, normalize results, and store historical data. OpenAI's Responses API supports programmatic model responses and tools such as web search. OpenAI Platform OpenAI Developers

What I'd recommend

If you already have something like Looker, Tableau, Power BI, Snowflake, BigQuery, or a proprietary analytics dashboard, I'd shortlist:

Peec → simplest path
Profound → more enterprise/AEO-oriented
OpenAI API → maximum control, maximum engineering

One important distinction: ChatGPT “rank” isn't equivalent to Google keyword rank. A useful dashboard should probably store the prompt + brand position + whether mentioned + competitors + citations + sentiment + model + date, rather than just a single rank number. Peec and Profound both support much of this richer measurement model. Peec AI Profound

If you tell me what your existing analytics dashboard is built on (e.g. Power BI, Tableau, Looker, Grafana, custom React, Snowflake, BigQuery), I can recommend the specific integration architecture and API between it and Peec/Profound.

If by “ChatGPT rank data” you mean how often your brand/product is mentioned, its position, share of voice, citations, and visibility in ChatGPT answers, I’d look at these options:

My recommendation: Profound API

For an existing analytics dashboard, rather than replacing your dashboard with another SaaS dashboard, Profound looks like the cleanest fit.

Its API can return metrics such as:

• Visibility Score
• Share of Voice
• Average Position
• Ranking by Topic
• Visibility by model/platform
• Citation data
• Daily trends

For example, Profound documents a REST endpoint that can return daily visibility data, and another query can break visibility/share-of-voice down by model such as ChatGPT, Perplexity, Gemini, and Claude. Profound

The architecture would be roughly:

ChatGPT / AI search engines
          ↓
      Profound
          ↓
    Profound API
          ↓
   Your data pipeline
          ↓
   Your database/warehouse
          ↓
 Existing analytics dashboard

That lets you put AI visibility alongside your existing SEO, traffic, conversion, and revenue metrics, rather than making users switch to a separate AEO dashboard.

One important distinction: the OpenAI API itself isn't a “ChatGPT rank tracker.” It lets you build applications that call OpenAI models and use tools such as web search, but if your goal is “where does my company rank when people ask ChatGPT these prompts?”, you'll generally want a dedicated AI-visibility/rank-tracking provider. OpenAI Platform OpenAI Developers

If you tell me what your existing dashboard is built with — Looker, Power BI, Tableau, Grafana, GA4/Looker Studio, custom React, Snowflake/BigQuery, etc. — I can recommend the best integration architecture and the specific API/platform I'd use.

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

The key distinction is that AI answers don't have a clean equivalent of a Google “position #3.” Instead, good tools measure things like:

• Google organic position for a query
• Whether you appear in ChatGPT
• Whether ChatGPT cites your domain/page
• Your position/prominence within the AI answer
• Which competitors are cited instead
• Visibility in Perplexity, Gemini, Claude, Google AI Overviews/AI Mode, etc.
• Share of voice across the same set of queries

Tools that do this

Prism is particularly close to what you're describing. It explicitly combines Google rankings/GSC data with ChatGPT, Claude, Gemini and Perplexity visibility, letting you see where you're losing ground between conventional search and AI answers. Prism

searchprism.io

RankVisibly is another interesting option if you want a straightforward keyword-by-keyword comparison. Its report puts Google, AI Overviews, AI Mode, ChatGPT, Gemini and Perplexity alongside each other and shows the competitors that were cited instead of you. RankVisibly

rankvisibly.com

There are also more established/enterprise-oriented platforms such as Semrush, Profound, Otterly.AI, Peec AI, Scrunch AI, and BrightEdge that monitor AI visibility. Fulcru TrustData

The comparison I'd actually want

If your goal is “show me where my SEO success isn't translating into AI visibility”, I'd want a dashboard roughly like:

That lets you identify things like “We rank #1–3 on Google for 40% of our important queries, but we're only cited by ChatGPT for 12% of them.”

That's much more useful than simply tracking an “AI score.”

If you tell me what SEO tool you currently use (Ahrefs, Semrush, Search Console, etc.) and whether you're mainly interested in ChatGPT or all AI engines, I can narrow this down to the 2–3 tools that best fit your setup and budget.

Yes. What you’re looking for is generally called AI search visibility / GEO monitoring: a platform repeatedly runs the kinds of questions your customers ask in ChatGPT, tracks your brand and competitors, and alerts you when the competitive picture changes.

Best fits

• otterly.ai — probably the closest fit if your specific requirement is “alert me when a competitor overtakes us.” It tracks brand mentions, rank/order, share of voice, citations, and competitors across ChatGPT and other AI engines. Its analytics specifically identify prompts where competitors appear and you don't. OtterlyAI Otterly
• Profound — stronger choice for a larger enterprise program. It is one of the leading enterprise AI-visibility platforms and focuses heavily on competitive visibility and monitoring. SurfacedBy AI Sightline
• Peec AI — good middle ground for marketing teams wanting competitive benchmarking and AI-answer analytics without going as enterprise-heavy as Profound. Promptwatch Conbersa
• Promptwatch — worth considering if you want monitoring plus more workflow/action capabilities rather than simply a dashboard. Promptwatch

The alert you actually want

I'd configure the platform around a metric like:

Alert me when Competitor X moves ahead of our brand in ChatGPT for any tracked commercial prompt.

For example:

I'd also track share of voice, mention rate, average position, citation share, and sentiment, rather than just whether you're mentioned. Otterly, for example, explicitly tracks these dimensions and compares them against named competitors. Otterly

My pick: If your primary requirement is competitive ChatGPT alerts, I'd start with OtterlyAI. If you're building a serious enterprise GEO/AI-search intelligence program, I'd evaluate Profound alongside it.

If you tell me your industry, number of competitors, and approximate number of ChatGPT prompts you want monitored, I can narrow this down to the 2–3 platforms that fit best and compare their alerting, ChatGPT coverage, API/Slack integration, and pricing.

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—but there’s an important distinction.

If by “snippet-level attribution” you mean “show me the exact sentence/passage from my site that an AI assistant reused, and connect that passage to the generated answer”, most mainstream AI-visibility tools do not currently go that deep. They generally provide URL/page-level citation attribution.

Closest options

• tryprofound.com — probably the strongest enterprise-oriented option to investigate. It tracks AI citations at the page level and connects them with prompt/visibility data. Third-party comparisons describe its citation depth as page-level rather than merely domain-level. The Rank Masters Payline Data
• peec.ai — good for distinguishing sources that were used versus explicitly cited, with URL-level analysis. The Rank Masters
• scrunch.ai — useful if you want citation segmentation by topic/persona and broader AI-visibility monitoring, but again the publicly documented attribution is domain/URL-level. The Rank Masters
• citations.io — tracks the exact AI answers and the URLs/snippets AI engines cite, across ChatGPT, Gemini, Perplexity and Claude. Its “Citation Map” and timestamped answer archive are particularly useful for auditing reuse. Citations.io Citations.io
• nightwatch.io — useful if you also want to connect AI citations with traditional search rankings and resulting search traffic. Nightwatch

But if you specifically need sentence-level provenance…

I'd frame the requirement as “textual provenance / passage-level attribution,” rather than ordinary AI citation tracking.

For example, you want a system that can tell you:

AI answer: “Companies can reduce onboarding time by 40% by automating…”

Source: example.com/guide

Matched passage: paragraph 7, sentences 2–3

Match: 94% semantic / 78% lexical

Assistant: ChatGPT

Observed: Aug. 26, 2026

That is substantially more sophisticated than simply recording that ChatGPT cited example.com/guide.

There are also grounding/search products that expose the actual passage retrieved. For example, Google Cloud's Agent Search explicitly supports “extractive answers” and “extractive segments”—verbatim text extracted from the original document. Google Cloud Documentation Copianto similarly advertises “snippet-level grounding” that surfaces the exact passage rather than just the page. Copianto AI Those are more relevant if you're building/controlling the assistant or retrieval layer, rather than merely monitoring public ChatGPT usage.

Bottom line: If you're monitoring external assistants, I'd shortlist Profound, Peec, Scrunch and Citations.io, but I would explicitly ask each vendor in a demo whether they can provide passage/sentence-level matching between your source content and the generated response, rather than merely URL-level citation data. That distinction is important because current “AI citation tracking” marketing often makes the two sound equivalent. Plug

If you're evaluating this for a publisher/content business, I can also give you a comparison of the leading tools specifically on sentence-level reuse detection, exact-match/semantic-match detection, API access, historical snapshots, and evidence/export capabilities.

If your goal is specifically “what percentage of AI-generated answers mention my brand for a defined set of keywords/prompts, versus competitors?”, I’d shortlist these:

• otterly.ai — best straightforward choice. It lets you define the prompts your buyers might use and tracks brand mentions, share of voice, average rank, sentiment, and citations across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. You can break SOV down by prompt and engine. Otterly Otterly
• ahrefs.com — best if you already use Ahrefs. It has AI Share of Voice, competitor benchmarking, custom prompts, and a large database of search-derived prompts. It also covers ChatGPT, Gemini, Perplexity, Copilot and Google's AI experiences. Ahrefs
• Profound — best for enterprise/deep analysis. It is positioned more toward large-scale AI visibility measurement and prompt analytics; current comparisons put it at the high end for engine coverage and analytical depth. DataDab Aelo
• Peec AI — worth considering for marketing teams/agencies. It focuses heavily on AI-search analytics, prompt research and competitive brand monitoring. DataDab

My pick

Start with OtterlyAI if you have a finite list of keywords/brand terms such as:

“best CRM for startups”
“HubSpot alternatives”
“CRM for SaaS companies”
“Acme CRM”

You can turn those into a recurring prompt set and measure something like:

AI Share of Voice = your brand mentions / total competitor + brand mentions

That is more useful than simply asking whether ChatGPT mentions you, because you can see which queries you win, which competitors displace you, and how that changes over time. Otterly explicitly distinguishes coverage (do you appear?) from share of voice (how much of the competitive conversation do you own?). Otterly

If you tell me your approximate number of keywords/prompts and whether you're SMB, agency, or enterprise, I can narrow this to the best 1–2 tools and compare price, engines, keyword/prompt limits, SOV methodology, and API access.

If your goal is specifically “What percentage of AI answers for my target keywords mention my brand vs. competitors?”, I’d start with OtterlyAI.

otterly.ai

Why I’d pick it

• Keyword/prompt-level tracking: define the questions your prospects ask and monitor them over time.
• Actual AI Share of Voice: it calculates your share of answers mentioning your brand versus tracked competitors, broken down by prompt and AI engine. Otterly
• Brand-term monitoring: useful for both category queries (“best CRM for startups”) and branded queries (“[Brand] alternatives”).
• Broad engine coverage: ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. Otterly
• Competitive visibility: you can see which competitors are winning the same prompts and where you're absent.
• Citations + sentiment: it goes beyond “mentioned/not mentioned” and shows which pages AI cites and how the brand is described. Otterly

Other good options

One distinction I'd pay attention to: some products report brand coverage (“did you appear at all?”), while true share of voice compares your mentions against the other brands appearing in the same answer set. Otterly explicitly distinguishes those metrics. Otterly

If you tell me your budget (e.g. <$100/mo, $100–500/mo, enterprise) and whether you care more about ChatGPT specifically or all AI engines, I can narrow this to the best 2–3 options.

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.

Yes. The category is usually called AI visibility tracking, LLM visibility monitoring, Generative Engine Optimization (GEO), or Answer Engine Optimization (AEO). These tools measure how often a brand appears in answers from different AI models and can break results down by model, prompt, competitors, sentiment, and citations. Ahrefs Riff Analytics

Some tools that do this:

• ahrefs.com — Tracks brand mentions across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews, with breakdowns such as mentions by platform, topics, and cited domains. Ahrefs
• mentionhq.com — Provides cross-model visibility dashboards, including model-level visibility scores and mention trends across platforms like ChatGPT, Claude, Gemini, and Perplexity. Mention
• elmohq.com — Focuses on tracking brand mentions across many AI models, including ChatGPT, Claude, Gemini, Grok, Mistral, Perplexity, Copilot, and DeepSeek, with share-of-voice and trend views. Elmo
• rankr.so — Shows per-model visibility, mentions, and sentiment comparisons across models such as ChatGPT, Claude, Gemini, and Perplexity. Rankr
• riffanalytics.ai — Offers dashboards comparing how different AI models mention and rank brands across prompts. Riff Analytics

A typical dashboard looks something like:

One caveat: true model-version attribution can be difficult. Many commercial tools track the AI product surface (e.g., ChatGPT, Claude, Gemini) rather than every underlying model version, because providers frequently change routing and model availability. If you specifically need “brand appearances by GPT-4.1 vs GPT-5 vs Claude Sonnet vs Gemini Pro,” look for tools that let you choose the exact API model or bring your own API keys, such as open-source trackers. Elmo

If you mean enterprise-grade monitoring for a marketing/SEO team, a dashboard of share-of-model across hundreds of prompts, or tracking your brand inside ChatGPT specifically, the best-fit tools differ.

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.

If your specific goal is “tell me when ChatGPT/Gemini/etc. says something negative or factually wrong about our brand, and show me why”, I’d shortlist Profound, OtterlyAI, and Peec AI—but I’d pick differently depending on your scale.

1. My enterprise pick: Profound

tryprofound.com

Profound is the one I'd investigate first if this is a reputation/risk monitoring problem rather than simply an SEO/GEO reporting problem. Its Answer Engine Insights monitors how brands are represented across answer engines and provides visibility, citations, sentiment, share of voice and positioning, with prompts run daily. Profound Knowledge Base

The important distinction is that you want to retain the actual AI answers, not just a score. If an answer says something like “Brand X was acquired by Y in 2024” when that isn't true, your monitoring system needs to let you inspect the response and its cited sources so your team can determine what went wrong.

I'd choose Profound if: you're a larger company, this goes to PR/legal/comms, or you need robust evidence and reporting.

2. Best practical/value choice: OtterlyAI

otterly.ai

Otterly is particularly compelling for this use case because it explicitly tracks brand mentions, sentiment, citations, position and competitors across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. It says its monitoring runs daily. Otterly Otterly AI

It also lets you define brand-name variations and competitor variations, which matters when monitoring inaccurate references. Otterly AI

I'd choose Otterly if: you want something you can deploy quickly without building a large enterprise program.

3. Best if ChatGPT is the main concern: Peec AI

peec.ai

Peec has particularly strong ChatGPT-oriented functionality. It tracks mention frequency, sentiment, citations, competitors and the sources influencing ChatGPT answers. It also exposes the query "fanouts" that ChatGPT uses to formulate answers, which can be useful when diagnosing why your brand is being represented incorrectly. Peec AI Peec AI

I'd choose Peec if: 70–80%+ of your concern is ChatGPT and you want to move from monitoring into figuring out which external sources are causing the problem.

But there's an important catch

None of these tools should be treated as a perfect “truth detector.”

There are really three separate things you want to monitor:

1. Mention — Did the AI mention us?
2. Sentiment/framing — Was the description positive, neutral or negative?
3. Factual accuracy — Is what it said actually true?

Most AI-visibility platforms are strongest at #1 and #2. #3 requires a layer of verification.

For example:

“Brand X has 10,000 employees and was founded in 2011.”

A monitoring platform can detect the statement. But determining that 10,000 is wrong and the company was actually founded in 2014 requires comparison against authoritative sources.

What I'd build for a serious brand

I'd actually evaluate vendors based on whether they can support this workflow:

AI answer → problematic claim → source/citation → severity → authoritative fact → alert → owner → resolution

And I'd want alerts for things like:

• ❌ False company facts
• ❌ Incorrect product capabilities
• ❌ Outdated pricing
• ❌ Incorrect executive/founder information
• ❌ Misleading comparisons with competitors
• ❌ Negative claims
• ❌ Safety/compliance claims that are wrong
• ❌ Incorrect reviews or ratings
• ❌ AI recommending a competitor instead of you
• ⚠️ An authoritative source changing or disappearing
• ⚠️ A previously accurate AI answer becoming inaccurate

Bottom line:
Profound is my first choice for an enterprise reputation/accuracy-monitoring program; OtterlyAI is the one I'd trial first for a leaner team; Peec AI is especially attractive if ChatGPT is the primary channel.

If you tell me your company size, industry, number of brands/products, and which AI engines matter most, I can narrow this to a specific recommendation and compare Profound vs. Otterly vs. Peec vs. Semrush on monitoring depth, alerts, citations, APIs, and likely cost.

I'd actually evaluate vendors based on whether they can support this workflow:

AI answer → problematic claim → source/citation → severity → authoritative fact → alert → owner → resolution

And I'd want alerts for things like:

• ❌ False company facts
• ❌ Incorrect product capabilities
• ❌ Outdated pricing
• ❌ Incorrect executive/founder information
• ❌ Misleading comparisons with competitors
• ❌ Negative claims
• ❌ Safety/compliance claims that are wrong
• ❌ Incorrect reviews or ratings
• ❌ AI recommending a competitor instead of you
• ⚠️ An authoritative source changing or disappearing
• ⚠️ A previously accurate AI answer becoming inaccurate

Bottom line:
Profound is my first choice for an enterprise reputation/accuracy-monitoring program; OtterlyAI is the one I'd trial first for a leaner team; Peec AI is especially attractive if ChatGPT is the primary channel.

If you tell me your company size, industry, number of brands/products, and which AI engines matter most, I can narrow this to a specific recommendation and compare Profound vs. Otterly vs. Peec vs. Semrush on monitoring depth, alerts, citations, APIs, and likely cost.

3. Best if ChatGPT is the main concern: Peec AI

peec.ai

Peec has particularly strong ChatGPT-oriented functionality. It tracks mention frequency, sentiment, citations, competitors and the sources influencing ChatGPT answers. It also exposes the query "fanouts" that ChatGPT uses to formulate answers, which can be useful when diagnosing why your brand is being represented incorrectly.

I'd choose Peec if: 70–80%+ of your concern is ChatGPT and you want to move from monitoring into figuring out which external sources are causing the problem.

But there's an important catch

None of these tools should be treated as a perfect “truth detector.”

There are really three separate things you want to monitor:

If your specific problem is “tell me when ChatGPT/Gemini/Perplexity/etc. says something negative, misleading, or factually wrong about our brand”, I’d narrow the field to Profound and OtterlyAI, with Profound as my first choice for a serious brand/reputation-monitoring program.

My ranking

1. tryprofound.com — best fit for your use case

The important distinction is that Profound isn't just measuring whether you're mentioned. Its Answer Engine Insights analyzes what the AI actually says, sentiment, recurring themes/attributes, and the sources/citations behind those answers. Most importantly for your question, its FactCheck feature is specifically designed to surface inaccurate claims and their sources. Profound Profound Knowledge Base

That makes it particularly suitable if your workflow is:

AI answer → negative/inaccurate statement → identify supporting source → determine whether claim is actually wrong → fix the underlying narrative/source → monitor whether the answer changes.

It also runs tracked prompts daily and can capture responses directly from the browser rather than relying exclusively on API output, which is useful because AI answers can vary considerably by interface. Profound

I'd choose Profound if: this is a PR, corporate communications, brand safety, reputation, or enterprise marketing initiative.

2. otterly.ai — best value / easier starting point

OtterlyAI is particularly attractive if you want to get monitoring running quickly without going straight to an enterprise platform.

It monitors prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, and tracks mentions, sentiment, share of voice, citations, and the actual response-level detail. Otterly Otterly

A particularly good feature for your use case is its ability to show which URLs are being cited to support the AI's answer. That lets you investigate why an inaccurate narrative is appearing rather than simply flagging that it exists. Otterly

Otterly also says it interacts with AI platforms through their public web interfaces for most engines, rather than simply relying on APIs, which can make the monitoring more representative of the consumer-facing experience. Otterly

I'd choose Otterly if: you have a small-to-mid-sized team and want strong monitoring without the complexity/cost of an enterprise deployment.

The key thing I'd look for

Don't buy a tool based primarily on “AI visibility score.” For reputation monitoring, I'd require these capabilities:

1. Custom prompt library — e.g. 100–1,000 questions customers might actually ask.
2. Full answer capture — not merely “brand mentioned: yes/no.”
3. Claim-level detection — identify specific statements about your company/products.
4. Sentiment + topic classification — distinguish “negative review” from a genuinely harmful factual claim.
5. Citation/source extraction — identify the websites feeding the inaccurate narrative.
6. Competitor comparison — see whether the model is systematically favoring a competitor.
7. Historical tracking — determine whether a bad claim is persistent or a one-off response.
8. Alerts — notify your team when a new negative/inaccurate claim appears or its frequency spikes.
9. Geography/model segmentation — answers can differ by market and model.
10. API/export — so claims can feed into your existing PR, CRM, or intelligence workflow.

One important caveat

None of these platforms can tell you with certainty that “the AI is wrong.” They can detect and surface the claim. You still need a ground-truth layer—your approved product facts, policies, pricing, regulatory statements, etc.—to determine whether the claim is actually inaccurate.

That's why I particularly like the Profound + source/citation + fact-checking approach for this problem: it gets closer to brand misinformation monitoring rather than simply GEO/SEO reporting. Profound explicitly positions FactCheck around finding inaccurate claims and their sources. Profound

Bottom line:

• Best overall for your stated problem: Profound
• Best value/easiest to deploy: OtterlyAI
• If you're already heavily invested in Semrush: evaluate its AI Visibility offering before adding another platform.
• If this is a high-stakes corporate reputation program: I'd run a proof-of-concept with Profound and Otterly using your actual customer questions and known historical misinformation, rather than relying on vendor demos.

If you tell me roughly your company size, number of brands/products, and which AI platforms matter most (ChatGPT only vs. ChatGPT + Gemini + Perplexity + Google AI), I can narrow this to the best 2–3 options and compare pricing, alerting, accuracy monitoring, APIs, and implementation effort.

AI answer → negative/inaccurate statement → identify supporting source → determine whether claim is actually wrong → fix the underlying narrative/source → monitor whether the answer changes.

It also runs tracked prompts daily and can capture responses directly from the browser rather than relying exclusively on API output, which is useful because AI answers can vary considerably by interface. Profound

I'd choose Profound if: this is a PR, corporate communications, brand safety, reputation, or enterprise marketing initiative.

2. otterly.ai — best value / easier starting point

OtterlyAI is particularly attractive if you want to get monitoring running quickly without going straight to an enterprise platform.

It monitors prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, and tracks mentions, sentiment, share of voice, citations, and the actual response-level detail. otterly.ai help.otterly.ai

A particularly good feature for your use case is its ability to show which URLs are being cited to support the AI's answer. That lets you investigate why an inaccurate narrative is appearing rather than simply flagging that it exists. otterly.ai

Otterly also says it interacts with AI platforms through their public web interfaces for most engines, rather than simply relying on APIs, which can make the monitoring more representative of the consumer-facing experience.

I'd choose Otterly if: you have a small-to-mid-sized team and want strong monitoring without the complexity/cost of an enterprise deployment.