Answers that do not mention Peec AI

If your goal is specifically “Does my company appear in ChatGPT answers, and what position does it appear in?”, you want an AI visibility / ChatGPT rank tracker, rather than a traditional Google SEO rank tracker.

A few current options:

• rankscale.ai — tracks specific prompts, whether your brand appears, its position in the answer, citations, competitors, and share of voice. It also tracks results over time. Rankscale.ai
• rankbits.com — particularly useful if you want to see the actual ChatGPT responses, mentions, citations, competitors, and source URLs. It offers a free ChatGPT scan. RankBits
• ahrefs.com — good if you're already using Ahrefs. It checks ChatGPT plus Gemini, Perplexity, Copilot and Google AI results, and reports mentions, topics and cited pages. Ahrefs
• semrush.com — another broad AI-search option, with ChatGPT visibility, mentions, prompts/topics and citations. Semrush

One important distinction

“Rank #3 in ChatGPT” isn't quite equivalent to Google position #3. ChatGPT can generate different answers depending on the prompt, search/web grounding, location, and other context. OpenAI itself says there is no guarantee of top placement in ChatGPT Search. OpenAI Help Center

So I'd track these metrics for each important customer query:

If you tell me your company/website and your industry, I can also suggest the specific 20–50 ChatGPT prompts I'd track to measure your AI visibility properly.

Yes. There’s now a fairly mature category of tools usually called AI visibility, LLM visibility, GEO (generative engine optimization), or AI citation tracking.

They can measure things like:

• How often your product/brand is mentioned in ChatGPT, Claude, Gemini, Perplexity, etc.
• How often your site/product is actually cited with a URL versus merely mentioned.
• The context in which you're mentioned — e.g. “best option for X,” “alternative to Y,” “expensive but powerful,” etc.
• Which competitors are mentioned instead of you.
• Which websites/sources the AI is using when it talks about your product.
• Position/share of voice — e.g. whether you're the first recommendation or fifth.
• Changes over time by repeatedly running the same customer-style prompts.

A few platforms worth looking at:

One important distinction

There are actually two different things you might mean by "cited":

1. AI mentions my product

"For small businesses, Product X is a good option because..."

The product is mentioned, but there may be no link.

2. AI cites my product/source

"Product X is a good option..." [yourdomain.com/product-x]

That's a much stronger signal, and some platforms explicitly distinguish mention rate from citation rate. DeepSmith BrandCitation

Also, these platforms generally don't have access to every real conversation people are having with ChatGPT. They repeatedly run a controlled set of prompts against AI systems and measure the resulting answers. That's important when interpreting something like "we were cited 18% of the time": it means 18% of the monitored queries/runs, not 18% of all ChatGPT conversations. Some platforms explicitly emphasize repeated sampling because AI answers are probabilistic. BrandPresence

If you're thinking about building a product or analytics dashboard around this, there's an interesting distinction between simply tracking whether you're mentioned and tracking what the AI believes about you. The latter can give you a dataset like:

prompt → AI answer → product mentioned? → citation? → context → sentiment → competitors → sources → citation position

That is substantially more useful than a single "AI visibility score."

Yes. This is an emerging category usually called AI visibility tracking, LLM visibility, GEO (Generative Engine Optimization) tracking, or AI search monitoring. These platforms run representative customer prompts through AI assistants (such as ChatGPT, Gemini, Claude, and Perplexity) and measure whether your product is:

• Mentioned (the AI names your product/brand)
• Cited (the AI links to your website or another source about you)
• Recommended (appears in buying suggestions/comparisons)
• Positioned (where you appear in the answer)
• Described (the context, attributes, and claims the AI associates with you)
• Compared against competitors Rank.ai MentionScout

Some platforms worth looking at:

A few things to know before choosing one:

1. They usually cannot measure every organic ChatGPT conversation.

No external tool has access to all private user chats. Instead, they measure controlled tests: e.g., “What happens if someone asks ChatGPT best project management software for startups 100 times?”

2. The quality depends heavily on your prompt set.

A good setup tracks:

• category questions (“best X for Y”)
• comparison questions (“Product A vs Product B”)
• problem-solving questions (“how do I solve…”)
• purchase-intent questions (“which tool should I buy?”)
• Look for context analysis, not just a score.

The useful outputs are:

• “ChatGPT mentioned us 18% of the time”
• “When mentioned, it described us as a premium option”
• “It cited our pricing page twice but cited competitor reviews 40 times”
• “We appear for enterprise buyers but not SMB buyers”

If you tell me your product category (SaaS, ecommerce, consumer product, marketplace, etc.) and which AI surfaces matter most (ChatGPT only vs ChatGPT + Gemini + Perplexity), I can suggest the best-fit tools and what prompts you should monitor.

What you’re looking for is generally called an AI visibility tracker, AI search monitoring, or GEO/AEO monitoring tool. These tools repeatedly run a set of prompts against ChatGPT and other AI engines, then track whether your brand appears, disappears, gets cited, or gets replaced by competitors. Conbersa Otterly

A few current options:

• otterly.ai — Tracks brand mentions/citations across ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot and others. It specifically monitors when your brand appears or disappears and provides visibility trends. It advertises plans starting at $29/month. Otterly
• siftly.ai — Particularly close to your exact requirement: it tracks ChatGPT mentions over time and offers alerts when your mention rate changes or crosses a threshold. It also tracks answer position, share of voice, citations and competitors. Siftly
• tryprofound.com — More enterprise-oriented AI visibility/AEO monitoring, useful if you want deeper reporting across AI engines.
• ahrefs.com — Good for an initial/free check. Ahrefs says its Brand Radar can monitor mentions daily across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. Ahrefs
• doishowup.com — Focuses specifically on prompt monitoring, visibility changes and timestamped screenshots/alerts for AI answers. DoIShowUp

For your specific use case

If the requirement is literally:

“Tell me whenever ChatGPT starts or stops mentioning my brand for the prompts my customers care about.”

I'd look first at Siftly or Otterly. Siftly's published feature set is especially explicit about change detection and alerts, while Otterly is broader if you also want to monitor the other major AI search engines. Siftly Otterly

One important caveat: these services generally don't monitor every possible ChatGPT conversation. They periodically test a defined set of prompts (e.g. “best accounting software for small businesses”) and measure the resulting answers. So the quality of your prompt set, geography, model, and testing frequency determines how meaningful the alert is. Acromatico

If you tell me your brand + industry + roughly how many prompts you want monitored, I can compare the current tools on price, ChatGPT coverage, alerting, frequency, competitor tracking, and API access and narrow it down.

The category you’re looking for is usually called AI visibility monitoring, LLM brand monitoring, or GEO (Generative Engine Optimization) tracking. These tools periodically run the kinds of prompts your customers ask, check whether your brand appears in ChatGPT answers, and alert you when visibility changes. TechnologyAdvice

Tools that specifically fit “alert me when my brand starts or stops appearing in ChatGPT-generated answers” include:

When evaluating one, look for these features:

• Prompt monitoring: You define questions like “best CRM for startups” or “alternatives to [competitor]” and the tool checks those repeatedly.
• Mention alerts: Notifications when your brand appears, disappears, or changes position.
• Answer snapshots: Saved copies of the actual ChatGPT response, not just a score.
• Citation/source tracking: Shows which websites or sources influenced the answer.
• Competitor tracking: Shows when competitors appear instead of you.
• Model/platform coverage: Whether it checks ChatGPT only or also Gemini, Claude, Perplexity, and AI search results. TechnologyAdvice

If you only care about “did ChatGPT mention us or not?”, a lightweight tracker may be enough. If you’re doing SEO/marketing/brand strategy, you’ll probably want one that tracks prompts, competitors, citations, and historical changes. Ansvisor TechnologyAdvice

When evaluating one, look for these features:

Yes. The category is usually called AI search visibility tracking, AI rank tracking, AEO/GEO tracking, or LLM visibility monitoring.

The important distinction is that conversational AI doesn't have a stable “rank 7” equivalent to Google. Instead, good tools track things like:

• Whether your brand or domain is mentioned
• Whether a specific page/URL is cited
• Where your brand appears within the answer
• Which competitors appear instead
• Share of voice across a defined prompt set
• Which URLs are being cited over time
• Historical changes in those metrics

For example, Ahrefs's Brand Radar provides historical AI visibility, competitor comparisons, custom prompts, and citation tracking across ChatGPT, Gemini, Perplexity, Copilot, and Google AI experiences. Ahrefs Ahrefs

Tools worth looking at

Jasno is particularly close to what you're describing because it explicitly says it records every citation URL and lets you see how the set of cited pages changes over time, including historical “Timewarp” snapshots. Jasno Jasno

jasno.ai

Depra likewise stores the full AI answers and records the position, mentions, citations, and cited websites, allowing historical comparison. Depra AI

depra.ai

One caveat that's important

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

“For each prompt, tell me that /my-page was citation #2 in ChatGPT on September 1, #4 on September 8, and disappeared on September 15.”

That's a more specialized requirement than simply tracking whether your brand appears.

AI answers aren't deterministic SERPs, so conventional keyword-rank tracking doesn't map neatly onto them. Ahrefs explicitly describes this limitation: AI responses can change between runs and users, so the useful historical measurement is generally visibility, mentions, citations, source URLs, and share of voice, rather than a fixed rank. Ahrefs Ahrefs

If your actual goal is page-level tracking—i.e. “which URLs from my domain are getting cited by ChatGPT/Perplexity/Gemini, for which prompts, and how has that changed historically?”—I can compare the current tools specifically on that capability and identify which ones get closest to a Google Search Console-style historical report for AI citations.

Yes. This category is usually called AI/LLM visibility tracking or GEO rank tracking.

Tools that currently offer historical tracking include:

• Rankscale — tracks mentions, cited URLs, answer position, competitors, and visibility trends across ChatGPT and other LLMs. Rankscale.ai
• Rankability — tracks citations, answer position, competitor presence, and historical changes across ChatGPT, Gemini, Claude, Perplexity, etc. Rankability
• DemandSphere — enterprise-oriented tracking with historical LLM visibility, position, citations, and share of voice. DemandSphere
• Jasno — archives responses and citation URLs, allowing week-by-week historical visibility analysis. jasno.ai
• Rank.ai — daily prompt tracking with persistent history and trend graphs on paid plans. rank.ai

One important distinction: these generally track your page being cited/mentioned within AI answers, rather than a literal Google-style “URL position.” AI responses aren't consistently ranked lists, so citation rate, mention rate, answer position, and share of voice are often more meaningful metrics. Rankability jasno.ai

If you're specifically trying to answer “Which of my individual URLs appeared in ChatGPT answers, for which prompts, and how has that changed historically?”, I can narrow this down to the tools that support that exact workflow.

If you mean “show me the exact text passages from my website that ChatGPT used/cited, plus where my site ranks inside the AI answer”, you’re looking for an AI visibility / AEO (Answer Engine Optimization) platform, not a traditional SEO rank tracker.

A few options that match your requirement:

My shortlist for your exact use case

1. Best match: Rank.ai

• Use if your main question is: “Which paragraph/page on my site caused ChatGPT to cite me?”
• It specifically advertises citation-level inspection, including snippets and offsets in answers. Rank.ai
• Best for ongoing SEO/AEO teams: Depra AI

• Use if you want dashboards over time:

• prompts tracked
• ChatGPT answers saved
• your position vs competitors
• cited pages recorded Depra AI Depra AI
• Best if you want simpler rank tracking: LSEO.ai

• Useful for tracking specific queries and URLs with ranking history. LSEO.AI - AI Search Optimization

One caveat: no tool can perfectly reveal the private internal retrieval process of ChatGPT. What these platforms can show is the evidence available from the AI answer: cited URLs, extracted snippets/passages where available, prompt-by-prompt rankings, and visibility trends. Rank.ai

If your goal is specifically “I want to know which sentences on my own pages are being quoted by ChatGPT so I can optimize them”, I would start with Rank.ai or Depra AI. Rank.ai Depra AI

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

• rankability.com — probably the closest match to your requirements. It tracks ChatGPT citations, the specific pages cited, and position among cited sources for each tracked keyword. Rankability
• rank.ai — particularly interesting if passage-level evidence is your priority. It says it shows the cited URL, the exact snippet pulled from the source, and the character offset where that citation is reflected in the answer. Rank.ai
• oncited.com — good if you want broader AI-search monitoring. It tracks positions across ChatGPT and other engines and identifies the pages/posts/reviews used as sources. Oncited
• zumihq.com — strong for source analysis: it tracks the exact URL cited, citation share, and average position by AI engine. Zumi

My pick for your specific use case

Start with Rank.ai if “show me exactly what passage of my page ChatGPT used” is the critical requirement. Its documented citation-level view goes beyond simply saying “your URL was cited.” Rank.ai

If rank/position tracking is equally important, Rankability looks like the more direct fit because it explicitly tracks your position among the sources ChatGPT cites. Rankability

One caveat: “exact passage used by ChatGPT” is not necessarily the same thing as proving that ChatGPT literally copied those words. These platforms generally infer/record the source snippet associated with a citation or retrieval event; AI-generated answers can synthesize information rather than reproduce a contiguous passage.

If you tell me your site + whether you care about ChatGPT Search specifically or ChatGPT API responses too, I can compare the best 3–5 platforms on exact passage visibility, citation rank, historical snapshots, prompt volume, and price.

Yes — the category you want is AI search / LLM visibility tracking for ecommerce. These tools repeatedly run buyer-intent prompts and record which products get recommended or cited, and often their position in the answer.

A few options that specifically fit:

• ecommerceinsights.ai — particularly relevant if you care about SKU-level tracking. It says it resolves AI answers to a specific product/SKU, prompt, and engine, across ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, and Copilot. eCommerceInsights.AI
• citelyhq.com — ecommerce-focused; tracks products across buying queries and reports ranking position, mentions, competitors, and citations across several AI platforms. Citely
• wild-card.ai — offers an ecommerce audit showing where products rank across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews. Wildcard
• ahrefs.com — broader brand/product visibility monitoring; useful for seeing mentions and cited pages across major AI search systems, though it's less specifically SKU-oriented. Ahrefs

For your exact question

If by "in what order" you mean something like:

Query: "best running shoes for flat feet under $150"
ChatGPT:

1. Product A — our store
2. Product B — competitor
3. Product C — competitor

…and you want that tracked repeatedly so you can see Product A move from #4 → #2 → #1, I'd focus on a tool that explicitly captures product-level position, rather than a generic "brand mentioned / not mentioned" AI visibility platform.

There is an important wrinkle: AI assistants don't have a stable Google-style ranking position. Their answers can change between runs, and some assistants return products in different formats. trychannel3.com So the useful metric is usually appearance rate + average position + share of recommendations + exact citations, tracked over repeated runs.

If you tell me Shopify vs. WooCommerce vs. another platform and roughly how many SKUs, I can narrow this to the 2–3 tools that best match your store.

Yes — the category you’re looking for is AI search visibility / GEO (Generative Engine Optimization) tracking.

For an ecommerce store, I’d look specifically for a tool that tracks individual products/SKUs, not merely whether your brand is mentioned.

• SearchMention — built specifically for online stores. It runs buyer prompts through ChatGPT, Gemini, and Perplexity and reports which products are cited, competitor products that appear instead, and their positions. SearchMention SearchMention
• ProductRank — useful for quickly testing a category. It queries ChatGPT, Claude, Perplexity, and Gemini and shows which products appear and their rank within each AI provider, plus aggregate rankings and citations. Surferstack
• Profound — more enterprise-oriented, with deeper AI-search monitoring and ecommerce capabilities, including citation/placement data. ecommerceguide LLM Visibility Tools
• CitelyHQ — specifically claims SKU-level tracking, showing which products appear for particular buying queries and their ranking position across AI platforms. Citely

The distinction that matters

If your question is:

“When someone asks an AI assistant for the best products in my category, does my product page get returned, and where does it appear?”

then you want a tracker measuring something like:

SearchMention or CitelyHQ are particularly aligned with the product-level question. ProductRank is interesting if you want a lightweight way to see the actual ordering across several AI assistants. Citely Surferstack

One important caveat: AI answers aren't equivalent to Google rankings. The same prompt can produce different results on different runs, so a useful platform should rerun prompts over time and report frequency/position rather than treating one answer as a permanent ranking. Rank.ai

If you tell me Shopify/WooCommerce/custom + roughly how many SKUs, I can narrow this to the 2–3 tools that best fit and compare their pricing/features.

Yes. There’s now a growing category of AI visibility / GEO monitoring platforms designed specifically for this.

For a global brand, I’d look for a solution that tracks:

• ChatGPT visibility by country + language, using consistent prompt sets.
• Mention rate, position, citations, and share of voice versus competitors.
• Regional differences—e.g., US English vs. German Germany vs. Japanese Japan.
• Historical trends, since AI answers vary between runs and over time. arXiv
• Ideally, multiple AI engines beyond ChatGPT, such as Gemini, Claude and Perplexity.

Examples worth evaluating include Evertune (140+ countries/33 languages), Trackbase (11 AI models with global language/market tracking), Citenso (27 languages/30+ countries), and Asky (geographic and language-specific agents). evertune.ai trackbase.ai citenso.com askylabs.com

If your primary requirement is “How visible is our brand in ChatGPT across X countries and Y languages?”, I can also compare the leading platforms on coverage, methodology, API access, pricing, and accuracy.

Yes. What you’re looking for is generally called AI Search Visibility / GEO (Generative Engine Optimization) tracking: monitoring how often ChatGPT and other AI engines mention, recommend, rank, and cite your brand across countries, languages, prompts, and competitors.

A few platforms currently support this specifically:

• psentry.com — particularly focused on international/B2B brands. It tracks ChatGPT, Gemini, Perplexity and Claude across languages and markets, with a visibility score for each market. PSentry
• trackbase.ai — broader enterprise-style coverage, including ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok, DeepSeek and others, with market/language segmentation. Trackbase
• promptwatch.com — tracks prompts across ChatGPT, Gemini, Claude, Perplexity and other AI search systems, with location/language support and competitor visibility. Promptwatch
• useomnia.com — interesting if geographic realism matters: it uses browsers in real locations to reproduce what users see in different countries and tracks ChatGPT, Google AI experiences and Perplexity. Omnia
• getmentions.ai — allows segmentation by market and language in addition to prompts, competitors and buyer personas. GetMentions
• evertune.ai — reports support for 140+ countries and 33 languages, explicitly combining country and language targeting when testing AI responses. Evertune

What I'd measure

For a multinational brand, I wouldn't reduce this to a single "ChatGPT ranking." I'd build a matrix like:

That lets you answer much more useful questions such as:

• Are we visible in Germany but not France?
• Does ChatGPT recommend us differently in German vs. English?
• Which local competitors replace us in each market?
• Which third-party sites are causing ChatGPT to mention us?
• Which prompts have the biggest visibility gaps?
• Are our citations coming from our own site or external sources?
• Is visibility improving after an SEO/content/PR campaign?

One important distinction: language and geography aren't the same thing. A German-language query isn't necessarily equivalent to a query from Germany. Some platforms explicitly model both market and language, while others primarily localize one or the other. PSentry Depra AI

If you're evaluating this for an enterprise/multinational brand, I can also put together a 2026 comparison of the main platforms (coverage, countries, languages, ChatGPT methodology, API, dashboards, pricing, and enterprise features) and narrow it down to the 2–3 that fit your use case.

For an enterprise trademark team (brand protection, legal, marketing, comms, SEO/GEO), the best software depends on whether you mean:

1. “How often is our trademark mentioned in AI answers?” (visibility monitoring)
2. “Is AI saying something inaccurate or risky about our trademark?” (brand safety/audit)
3. “Which prompts, competitors, or sources cause us to appear or disappear?” (strategic intelligence)

The category is usually called AI visibility monitoring, AEO (Answer Engine Optimization) monitoring, or GEO (Generative Engine Optimization) tracking. These tools generally measure brand mentions, citations, competitors, sentiment, and prompt-level results across AI systems such as ChatGPT, Gemini, Perplexity, Claude, and AI search products. business.adobe.com

Enterprise-focused options

What I would look for specifically for trademark auditing

A trademark/legal team usually needs more than a “mention count.” The important capabilities are:

• Exact trademark monitoring
  • Brand name
  • Product names
  • Registered marks
  • Common misspellings
  • Abbreviations/acronyms

• Prompt-level audit trails
  • The exact question asked
  • The AI model used
  • The generated answer
  • Whether the trademark appeared
  • Position/context of the mention

• Risk detection
  • False claims about products
  • Incorrect ownership statements
  • Competitor substitution
  • Negative associations
  • Outdated information

• Evidence retention
  • Screenshots or captured responses
  • Timestamped records
  • Exportable reports for legal/compliance review

• Enterprise controls
  • SSO/SAML
  • Role-based access
  • Audit logs
  • API access
  • Multi-brand portfolios

My shortlist by use case

• Global brand with thousands of prompts/products: Profound or AthenaHQ technologyadvice.com
• Trademark + marketing + SEO team collaboration: Semrush or Ahrefs ahrefs.comexperienceleague.adobe.com
• Legal/compliance emphasis: prioritize platforms that preserve raw AI responses and citations rather than only providing a visibility score. www.demandsphere.comwww.zumihq.com

One caveat: no tool can see all private ChatGPT conversations or all user prompts. These systems generally work by running controlled prompt sets, analyzing available AI/search experiences, and measuring observed responses. app.diagnoseo.com

For a Fortune 500-style trademark program, I’d usually evaluate vendors with a pilot: 500–5,000 trademark-related prompts across your major markets, capture every AI response, and measure mention rate, accuracy, sentiment, competitor inclusion, and citation sources.

For enterprise teams, Profound is a strong fit for monitoring and auditing brand/trademark visibility in AI answers. It tracks mentions, citations, competitors, sentiment, and multiple answer engines, with enterprise-oriented reporting. TechnologyAdvice Baarely

Also evaluate Senso.ai if citation accuracy and governance/audit trails matter more than simple visibility measurement. cited.md

Key requirements: prompt-level evidence, historical snapshots, engine/model coverage, trademark/brand variants, citation provenance, hallucination detection, exports/API, and SSO/RBAC.

If by “ChatGPT rank data” you mean data such as how your brand/product ranks in ChatGPT answers, which prompts mention you, competitors mentioned, citation/share-of-voice, and changes over time, I’d separate the data collection layer from your existing analytics dashboard.

Platforms worth considering

• langfuse.com — probably the most flexible if you want to build this into your own analytics stack. It can instrument OpenAI calls, capture prompts/responses, usage, latency, errors, and costs, and expose the data through APIs/OpenTelemetry. Langfuse Langfuse
• datadoghq.com — good if your existing dashboard is already built around Datadog. Its OpenAI integration provides usage, token/cost, performance and LLM-observability data. Datadog Monitoring
• langfuse.com — particularly useful if your dashboard is custom. Langfuse supports OpenTelemetry plus integrations with OpenAI, LangChain, Vercel AI SDK, Mixpanel, PostHog, ClickHouse and others, making it easier to pipe LLM data into an existing analytics architecture. Langfuse

One important distinction: ordinary OpenAI API observability isn't the same thing as measuring your brand's ranking inside consumer ChatGPT search/answers. If you're trying to build an AI-search/ChatGPT rank tracker—e.g.:

Prompt → ChatGPT response → brand mentioned? → position/rank → competitors → citations → sentiment → historical rank

then you likely want a specialized AI-search visibility/rank-tracking platform or your own collection layer, rather than just Langfuse/Datadog.

If you tell me what your existing analytics dashboard is built with (Power BI, Tableau, Looker, Grafana, custom React, etc.) and exactly what you mean by “rank data,” I can identify the most suitable integration and show you the architecture/API flow.

If by “ChatGPT rank data” you mean how often/where your brand or competitors appear in ChatGPT answers—e.g. mention rate, position, citations, share of voice, and prompt-level rankings—there are several platforms built specifically to feed that data into an existing analytics stack.

Strong integration options

• seranking.com — Provides API access to ChatGPT visibility, mentions, citations, average position, AI traffic estimates, and competitor share-of-voice. It also covers Google AI, Gemini and Perplexity. SE Ranking
• keyword.com — REST API with aggregated visibility, rankings, competitor benchmarks, engine/topic trends, and historical data. Particularly suitable for feeding BI dashboards. Keyword.com
• rankmonitor.com — Offers JSON APIs for traditional rankings plus AI monitoring, including prompt-level ChatGPT results, brand mentions, sentiment, engine performance and trends. Rank Monitor
• searchfit.ai — REST API specifically designed to pull AI-search visibility, share of voice, prompt-level rankings and AEO reports into BI/data workflows. SearchFIT
• prominenceai.io — Provides LLM visibility metrics such as Share of Answer, average position and prompt-level performance through a REST API. Prominence AI
• demandsphere.com — Interesting if you already operate a data warehouse: its platform can push SERP, AI-search, GSC and GA4 data directly into your own BigQuery environment. DemandSphere

If you want to build the dashboard yourself

I'd lean toward an API-first provider rather than a ChatGPT plugin. Your architecture can be:

AI visibility provider → REST API → data warehouse → existing dashboard

For example:

SE Ranking / Keyword.com / Rank Monitor → Snowflake/BigQuery/Postgres → Power BI / Tableau / Looker / custom dashboard

That gives you historical data and lets your existing analytics system calculate its own KPIs rather than making the dashboard dependent on another UI.

One important distinction: if you mean actual ChatGPT usage/ranking data from your own ChatGPT organization (users, conversations, API usage, etc.), rather than brand rankings inside ChatGPT answers, that's a different integration problem.

If you tell me what your existing dashboard is built on (Power BI, Tableau, Looker, Grafana, custom React, Salesforce, etc.), I can narrow this to the 2–3 integrations that fit it best.

Yes. The category you’re looking for is usually called AI search visibility, AI visibility, or GEO (generative engine optimization) tracking.

The important distinction is that AI systems generally don't have a stable “#1, #2, #3” ranking like Google. Instead, tools measure things like whether your brand is mentioned, whether your site is cited, how prominently you appear, and your share of AI answers. Ahrefs Ahrefs

Tools that can do this

• semrush.com — probably the closest match to what you're describing. It can put traditional Google rankings alongside visibility in ChatGPT, Google AI Overviews/AI Mode, Gemini, and other AI platforms, and explicitly lets you compare AI visibility with traditional rankings. Semrush Semrush
• ahrefs.com — measures brand mentions/citations across large numbers of AI prompts and lets you benchmark AI visibility. Ahrefs deliberately doesn't treat AI answers as conventional rank positions. Ahrefs Ahrefs
• semrush.com — useful if you just want to enter a domain and get a quick AI-visibility benchmark before paying for a platform. Semrush

What the comparison can look like

For a keyword such as “best project management software for small businesses”, you could measure:

That lets you answer a much more interesting question than simply “What do I rank for?”:

“When people search for topics where I rank well organically, does AI also recommend or cite me?”

And there can be a substantial disconnect. Semrush, for example, specifically supports comparing traditional rankings with AI visibility to identify those gaps. Semrush

If you're considering building or buying a tool for this, I can also lay out exactly what an ideal “Google rankings vs. ChatGPT rankings” dashboard should measure, including the metrics that are actually meaningful for AI answers.

Yes. The category is usually called AI search visibility / GEO (Generative Engine Optimization) tracking. The important distinction is that AI assistants don't have a stable “#1–#10” ranking like Google, so good tools compare organic SERP position with things like AI visibility, mentions, citations, and average position within AI answers. Ahrefs Semrush

Tools that can do this

• Semrush — probably the closest match to what you're describing. Its Prompt Tracking can put traditional Google rankings alongside ChatGPT Search, Google AI Mode, and Gemini visibility, letting you identify cases where you rank well organically but don't appear in AI answers (and vice versa). Semrush Semrush

semrush.com

• Ahrefs — its Brand Radar tracks AI visibility across ChatGPT, Google AI, Gemini, Perplexity, Copilot and other platforms, using hundreds of millions of search-backed prompts. It can compare mentions/citations with your competitors and connect AI visibility to your existing SEO data. Ahrefs Ahrefs Help Center

ahrefs.com

The comparison I'd actually make

For a set of, say, 100 important commercial queries, you could build a matrix like:

That is more meaningful than trying to assign an AI answer a conventional “rank.” AI responses can change from one query/session to another. Ahrefs

If what you specifically want is: “Show me my Google rankings vs. how often ChatGPT/Perplexity/Gemini recommends or cites me for those exact same queries”, Semrush is currently the most direct fit based on its documented side-by-side tracking functionality. Semrush

If you tell me what you currently use for SEO (Ahrefs, Semrush, Search Console, etc.), I can suggest the simplest setup for comparing your organic rankings against AI visibility without duplicating tooling.

Yes. What you’re looking for is generally called AI search visibility / GEO monitoring: a platform repeatedly runs your target prompts in ChatGPT, tracks your brand and competitors, and alerts you when a competitor gains visibility or overtakes you.

A few platforms explicitly support this:

• Rankscale — particularly aligned with your use case. It tracks ChatGPT answer visibility, citations, competitor movement, share of voice, and offers competitor movement alerts when competitors gain mentions, citations, or stronger answer placement. Rankscale.ai
• CiteLens — tracks ChatGPT, Perplexity, Claude and Google AI Overviews, with alerts when your visibility drops or a competitor overtakes you. CiteLens
• Surva.ai — monitors competitors across multiple AI platforms and specifically says it can alert you when competitors start appearing in prompts where you currently have visibility. Surva.ai
• DiscoveredBy — tracks competitors on the same prompts as your brand and provides visibility alerts when competitors' AI presence changes. DiscoveredBy
• Citadex — has prompt-level competitor detection and instant alerts when rankings shift, including cases where a rival is recommended and your brand isn't. Citadex
• SentimentStack — tracks competitor positioning across major AI engines and advertises smart alerts when a competitor gains ground or your brand disappears from an answer. SentimentStack

For your exact requirement

I'd distinguish between two kinds of alerts:

1. "Competitor mentioned" alerts

"Acme was mentioned in 18% of this week's ChatGPT answers."

Useful, but relatively noisy.

2. "Competitor overtook us" alerts

🚨 "Competitor X overtook Your Brand on 4 of 25 priority prompts in ChatGPT. Your share of answers fell from 42% → 31%."

This is much closer to what you want. Rankscale, CiteLens, Citadex and Surva.ai explicitly describe functionality around competitor movement/overtaking rather than merely monitoring mentions. Rankscale.ai CiteLens Citadex Surva.ai

One important caveat: these platforms generally sample/run predefined prompts, rather than having access to every ChatGPT conversation where your category might be discussed. So I'd configure a representative set of high-value prompts—e.g. "best [category] software," "alternatives to X," "X vs Y," "best tools for [job-to-be-done]"—and alert on changes across those prompts.

If you tell me your industry + roughly how many competitors/prompts you want to monitor, I can compare the leading platforms on alert quality, ChatGPT coverage, competitor tracking, Slack/email alerts, API access, and price.

Yes. What you’re looking for is generally called an AI visibility / GEO monitoring platform: it repeatedly runs the questions your prospects ask in ChatGPT and other AI engines, measures your share of voice vs. competitors, and alerts you when a competitor moves ahead.

Best fits for your specific requirement

• rank.ai — Strong fit if you want ongoing competitor monitoring. It runs tracked buyer prompts daily, measures how often you and competitors are mentioned/cited, and tracks visibility across ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews. Rank.ai
• citelens.ai — Particularly explicit about the use case: it says it will alert when your visibility drops or a competitor overtakes you. It also tracks mention rate, citation share, competitors and the sources influencing answers. CiteLens
• siftly.ai — Worth considering if ChatGPT is your primary concern. It monitors exact ChatGPT answers, competitor mentions, positioning, and alerts when your visibility changes. Siftly
• surva.ai — More competitor-intelligence oriented. It tracks competitor AI visibility across five platforms and specifically alerts when competitors start appearing in prompts where you previously dominated. Surva.ai
• answerscout.ai — Interesting if you want the alert to go directly into your workflow: it supports Slack alerts when a rival overtakes you, plus webhooks for Zapier, Make, BI systems, etc. AnswerScout

If I were choosing

For the exact requirement “tell me immediately when competitor X overtakes us in ChatGPT answers”, I'd shortlist:

1. Rank.ai — best overall monitoring/benchmarking
2. CiteLens — clearest out-of-the-box competitor-overtake alerting
3. Siftly — best if you primarily care about ChatGPT
4. AnswerScout — best if Slack/webhook automation is important

One important distinction: don't buy a tool based only on a generic “AI visibility score.” You want it to track the same prompts repeatedly, preserve the actual answers, calculate competitor share-of-voice/position, and trigger an alert on a specific change. AI answers are variable, so repeated sampling is important rather than treating one ChatGPT response as a definitive ranking. Rank.ai answerstanding.com

If you tell me your company/category and 3–5 competitors, I can also compare the leading platforms specifically on price, ChatGPT coverage, alerting, prompt volume, Slack integration, and API access and recommend the best one.

If by “snippet-level attribution” you mean “the assistant reused this particular sentence/paragraph from our site, and I want to know exactly which source passage contributed to the answer”, that is a narrower capability than ordinary AI-citation tracking.

Closest fits

• OpenAttribution — probably the closest match conceptually. Its telemetry model explicitly distinguishes content_reproduced (verbatim or near-verbatim source text appearing in an AI output) from content_cited (the source being credited). That distinction is important because an assistant can reuse your wording without giving you a citation. OpenAttribution OpenAttribution

openattribution.org

• MentionsAPI — useful if you want to build this into your own system. It normalizes citations from ChatGPT, Claude, Gemini and Perplexity and associates citations with prompts and URLs. It is primarily URL/source-level, though, rather than a turnkey sentence-to-source attribution system. MentionsAPI

mentionsapi.com

• Citescope AI — tracks which URLs ChatGPT, Perplexity and Gemini cite, including historical and scheduled checks. Again, this is page/URL-level, not true sentence-level provenance. Citescope AI

citescopeai.com

• Citations.io / Citevis / Veritas — useful for monitoring which pages get cited and how often across AI engines. Their published functionality is oriented toward citation/visibility monitoring rather than proving that a specific sentence in an answer originated from a specific sentence on your site. Veritas Citations Citevis

The important distinction

There are really three levels:

Most commercial AI visibility/GEO platforms currently stop at #2. OpenAttribution is interesting because it explicitly defines #3 as content reproduction, separate from citation. OpenAttribution

If your actual goal is “detect when an AI assistant has copied/reused our sentences, even when it doesn't link to us, and map each generated sentence back to the originating passage”, I'd look at an OpenAttribution-style telemetry/provenance system plus your own text-similarity layer, rather than buying a conventional GEO dashboard.

If you tell me whether you need this for ChatGPT/Claude/Perplexity consumer answers, API outputs, or both, I can narrow it down to the tools that can actually provide sentence-level evidence rather than just “your URL was cited.”

If you mean “which tools can tell me exactly which sentences or passages from my website were reused in an AI assistant answer?”, the market is still emerging. Most tools today measure AI visibility, citations, or traffic, but true snippet-level reproduction attribution (source sentence → assistant output sentence) is less common. OpenAttribution

Some options to evaluate:

For a publisher trying to answer “ChatGPT/Claude/Gemini reused this exact paragraph from our article”, the architecture usually looks like:

1. Chunk your content

• Split pages into passages (for example 100–500 words).
• Assign each chunk an ID and hash.
• Collect AI outputs

• From permitted integrations, customer interactions, public answer monitoring, or partner APIs.
• Run similarity detection

• Exact match (copy/paste).
• Fuzzy match (minor edits).
• Semantic match (paraphrases).
• Store an attribution record

• Source URL.
• Original snippet.
• AI response snippet.
• Match confidence.
• Timestamp.
• Model/provider.

The main limitation is that most consumer chat assistants do not currently provide a complete, independent feed showing every piece of source text that influenced an answer. Emerging standards such as OpenAttribution focus on making retrieval, grounding, reproduction, citation, and engagement measurable across the ecosystem. OpenAttribution OpenAttribution

If you are looking for this from a publisher/SEO perspective, an LLM monitoring platform, or a copyright/licensing enforcement perspective, the best tools differ.

The main limitation is that most consumer chat assistants do not currently provide a complete, independent feed showing every piece of source text that influenced an answer. Emerging standards such as OpenAttribution focus on making retrieval, grounding, reproduction, citation, and engagement measurable across the ecosystem.

Yes. This category is usually called AI visibility / GEO (Generative Engine Optimization) tracking.

• Ahrefs Brand Radar — tracks mentions across ChatGPT, Gemini, Perplexity, Copilot, and Google AI surfaces, with platform-level breakdowns. Ahrefs
• MentionedBy AI — particularly close to what you described: model-by-model appearance, visibility, share of voice, position, and competitors. MentionedBy AI
• Brand24 AI Visibility — tracks ChatGPT, Claude, Gemini, Perplexity, AI Overviews, Google AI Mode, DeepSeek, Grok, and Copilot. brand24.com
• DeepSmith — shows mention/citation rates and how your presence splits across models over time. deepsmith.ai

If by “distribution” you mean “What % of our total AI appearances come from ChatGPT vs Claude vs Gemini vs Perplexity, broken down by model/version?”, MentionedBy AI or Brand24 look particularly aligned with that use case.

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

These tools can show something like:

Tools worth looking at

• ahrefs.com — probably the closest match to what you're asking for. It tracks brand mentions/citations across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode, and lets you see AI Share of Voice and visibility by platform. Ahrefs
• otterly.ai — particularly focused on monitoring specific prompts over time. It covers ChatGPT, Gemini, Perplexity, Claude, Copilot, and Google's AI surfaces, with mention rate, share of voice, position, sentiment, and citations. Otterly Otterly
• modelmention.io — simpler option focused on ChatGPT, Gemini and Perplexity, with visibility, position, share of voice and citations. ModelMention
• mentionhq.com — tracks ChatGPT, Claude, Gemini, Perplexity, DeepSeek and Grok, so it's interesting if you specifically want a broader model-by-model view. Mention

One important distinction

There are actually two different things you might mean by "distribution":

1. Share of AI answers where your brand appears

"We appear in 38% of relevant ChatGPT answers, 29% of Gemini answers, 17% of Claude answers..."

2. Distribution of your total AI appearances

"Of all our AI mentions, 45% come from ChatGPT, 25% Gemini, 15% Perplexity..."

Most serious GEO platforms can get you toward #1, while #2 is usually easy to calculate from their underlying data.

If you're trying to build a dashboard for your brand showing appearance share across ChatGPT model versions (e.g. GPT-5.x), Claude versions, Gemini versions, etc., that's a more specific requirement. Most off-the-shelf tools don't expose model-version-level distribution cleanly; they tend to report at the platform/engine level. Ahrefs, for example, reports ChatGPT/Gemini/Perplexity/etc. rather than giving you a clean GPT-version-by-version distribution. Ahrefs

If you tell me what you mean by “models and versions” (e.g. GPT-5.6 vs GPT-5, Claude Opus vs Sonnet, Gemini 2.5 vs 3), I can identify the tools that actually expose that granularity and compare them.

If by “exact answer position” you mean “For a given prompt, tell me where my brand/content appears inside the ChatGPT answer and which cited source/page it corresponds to”, you’re looking for an AI search / ChatGPT visibility tracker, not a traditional SEO rank tracker.

A few tools specifically claim to do this:

• Rankability — tracks where your brand appears in ChatGPT responses and which competitors appear around it. Rankability
• refd — records the actual ChatGPT answer and measures first-mention position, citation position, prominence, and share of voice. refd
• Depra AI — records whether ChatGPT mentions you, where you appear in the answer, the tone, and cited websites. Depra AI
• OneClickSEO — captures the answer text, citations, and your position in the citation list. OneClickSEO
• Bonemeal — tracks position inside the AI answer, along with mentions, citations, and competitors. BoneMeal

Important distinction

There are actually three different “positions” you might want to measure:

1. Mention position — e.g. your brand is the 2nd brand mentioned in the prose.
2. Recommendation position — e.g. ChatGPT says “1. Brand A, 2. Your Brand, 3. Brand C.”
3. Citation/source position — e.g. your webpage is the 3rd source cited by ChatGPT.

Those aren't necessarily the same. For example, refd explicitly distinguishes the position of a brand mention from whether the brand's website is cited. refd

If your goal is specifically “map a user query → exact sentence/paragraph/list position → exact URL/content that caused our content to appear”, I would look for a tool that stores the raw ChatGPT response + citation URLs + positional metadata, rather than one that only gives an aggregate “AI visibility score.”

If you mean “which tool tells me exactly where my brand/content appears inside a ChatGPT answer for a given query?”, you’re looking for a ChatGPT / AI visibility rank tracker, rather than a traditional SEO rank tracker.

A few tools specifically track this:

• Rankability — tracks mention position, citation position, competitors, and the actual ChatGPT response for tracked queries. Rankability
• RankBits — tracks brand mentions, citations, citation rank, and answer placement across ChatGPT and other AI search engines. RankBits
• Rankscale — tracks answer positions, mentions, citations, and share of voice across ChatGPT and other LLMs. Rankscale.ai
• Wellows — reports the position where your brand/domain is cited for each query and tracks changes over time. Wellows
• refd — measures first-mention position, prominence, citations, and share of voice from repeated ChatGPT runs. refd

Important distinction

There are actually two different “positions” you might want to measure:

1. Mention position — e.g. “Your company is the 2nd brand mentioned in the answer.”
2. Citation/source position — e.g. “Your article is the 3rd cited source.”

These aren't necessarily the same. AI answers don't have a stable equivalent of Google's traditional #1–#10 SERP positions, and the answer can change between runs. SERPclimber Rank.ai

If your goal is specifically “I have a piece of content on my website; tell me which ChatGPT queries surface it and exactly where it appears in the generated answer”, I would focus on tools that expose prompt → full answer → mention/citation → position → cited URL rather than just an aggregate AI visibility score. Rankability and refd explicitly describe those measurements. Rankability refd

If you tell me whether you're trying to track your own website's content, competitor content, or build this capability into your own product, I can point you to the appropriate tool/API architecture.

If your key requirement is “show me exactly when our URL/content was cited by an AI, with a timestamp”, I’d look first at BotSights. It takes a somewhat different approach from typical AI-visibility trackers: it detects actual AI crawler visits to your pages and records the page URL, AI platform, and timestamp. BotSights

botsights.com

Other good fits

• Surva.ai — monitors tracked queries across ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews, capturing the full response, cited URL, citation position, and monitoring it daily. Surva.ai

surva.ai

• Citations.io — better if you want a broader AI-search analytics/GEO platform: it tracks citations across ChatGPT, Perplexity, Gemini and Claude and maintains historical visibility data. Citations.io Citations.io

citations.io

• CitePrism — tracks citations/mentions across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews/AI Mode and Copilot, including day-by-day trends. CitePrism

citeprism.com

Important distinction: there are really two different things you might mean by “logged citation”:

1. AI-answer observation: “At 14:32, ChatGPT answered this prompt and cited /our-report.”
2. Server-side evidence: “At 14:32, an AI crawler fetched /our-report.”

BotSights is particularly interesting for #2; Surva/Citations.io are closer to #1. If you need an auditable dataset of every instance of your specific URLs being cited, rather than a general AI visibility score, I'd prioritize tools that retain the timestamp + exact URL + engine + prompt/answer. BotSights Surva.ai

If you tell me your approximate monthly budget and which AI systems matter (ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, etc.), I can narrow this to 2–3 tools and compare their tracking granularity.

If you mean “I want a log of every time an AI assistant cites our articles/pages as sources, with timestamps”, you’re looking for an AI visibility / Generative Engine Optimization (GEO) monitoring tool rather than a traditional analytics platform.

A few options:

My recommendation depends on your goal:

• You need an audit trail of “AI cited our content on date X” → start with Citations.io or CitePrism. They are closest to a citation ledger. Citations CitePrism
• You run SEO/content at scale and want dashboards for many prompts and competitors → look at Promptwatch or Profound. Best GEO Software
• You mainly care about ChatGPT/Perplexity/Gemini visibility for buyer questions → tools like MentionScout are designed around repeated prompt monitoring. MentionScout

One important caveat: no tool can see private user conversations with ChatGPT or other assistants. They generally work by running a defined set of prompts on a schedule, capturing the returned answers, and recording whether your content was mentioned or cited. CitePrism

For a content team, I’d also make sure whichever tool you choose stores:

• timestamp of the query/run
• exact prompt used
• model/engine queried
• full AI response snapshot
• cited URL(s)
• your cited page(s)
• citation frequency over time
• export/API access for your own reporting

If you tell me whether you care about ChatGPT specifically, all AI engines, or tracking citations of individual URLs/articles, I can narrow it down.

If your primary problem is “tell me when ChatGPT/Gemini/Perplexity/etc. says something false or damaging about my brand, and show me exactly what was said and where it came from,” I’d focus less on generic AI-visibility tools and more on accuracy/hallucination monitoring.

Based on the current feature sets, these are the main options:

The important distinction

Profound explicitly offers a FactCheck capability that identifies inaccurate claims about your brand and their sources, alongside sentiment, visibility and citation analysis. Profound

Scrunch is particularly interesting if you want to monitor lots of AI platforms. It says it monitors nine platforms, including ChatGPT, Perplexity, Gemini, Claude, Copilot, Grok and Meta AI, and provides response-level sentiment, citations and competitive analysis. Scrunch Help Center Scrunch Its feature set also specifically includes AI-hallucination detection for incorrect or misleading brand mentions. G2

OtterlyAI is more oriented toward scalable AI-search analytics: it tracks mentions, sentiment, share of voice and citations across seven AI engines and lets you inspect the actual answers. Otterly It also says its collection method interacts directly with public AI interfaces rather than relying solely on APIs, which is useful if your goal is to see what users actually encounter. Otterly AI

What I'd look for in your specific use case

Don't buy based solely on a "share of voice" dashboard. For negative/inaccurate brand mentions, the critical workflow is:

Prompt → AI answer → problematic claim → classification (false/outdated/negative) → citation/source → evidence showing the correct information → alert → trend over time

You ideally want:

• Actual answer capture, not just a mention count.
• Claim-level accuracy detection, rather than sentiment alone.
• Citation/source identification, so you can determine what is causing the bad answer.
• Historical snapshots, because AI answers can change.
• Alerts when a previously accurate answer becomes inaccurate/negative.
• Prompt discovery, so you're not only monitoring questions your marketing team already knows about.
• Coverage across ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews/AI Mode, Copilot, etc.
• Competitor comparison, particularly when the model recommends a competitor instead of you.
• API/export capability if you want to feed findings into your reputation, PR, SEO or CRM workflows.

If inaccurate claims are the central requirement, I would put Profound and Scrunch at the top of your evaluation rather than choosing a tool purely on general AI visibility. If the requirement is primarily inexpensive, broad monitoring of mentions/sentiment/citations, OtterlyAI is worth evaluating.

One caveat: these platforms generally monitor sampled prompts, not every possible conversation an AI model has with users. So "no detected negative mention" should not be interpreted as "AI never says anything negative about us."

If you tell me your company size, approximate number of brands/products, AI platforms you care about, and whether you need alerts/API/enterprise security, I can build a more detailed Profound vs. Scrunch vs. Otterly comparison, including current pricing and the specific accuracy-monitoring workflows each supports.

OtterlyAI is more oriented toward scalable AI-search analytics: it tracks mentions, sentiment, share of voice and citations across seven AI engines and lets you inspect the actual answers. otterly.ai It also says its collection method interacts directly with public AI interfaces rather than relying solely on APIs, which is useful if your goal is to see what users actually encounter. help.otterly.ai

What I'd look for in your specific use case

Don't buy based solely on a "share of voice" dashboard. For negative/inaccurate brand mentions, the critical workflow is:

Prompt → AI answer → problematic claim → classification (false/outdated/negative) → citation/source → evidence showing the correct information → alert → trend over time

You ideally want: