ChatGPT answers, unedited

Yes. The category you’re looking for is usually called an AI visibility / LLM visibility / GEO API: you submit prompts, have them run against AI assistants, and get back whether your brand/domain or specific pages were mentioned or cited.

A few current options:

• developer.meltwater.com — tracks brand appearance, citations, and recommendations across ChatGPT, Gemini, Perplexity, and Copilot. Meltwater Developer Portal
• seranking.com — exposes mentions, citation URLs, position, share of voice, and the underlying AI answers; covers ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode. SE Ranking
• rankprompt.com — specifically built as an API for programmatic AI-visibility monitoring, covering ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, and Grok. Rank Prompt
• honeyb.ai — particularly interesting if you want to submit your own prompts and receive the actual answers plus which brands and pages were cited. It supports ChatGPT, Gemini, Perplexity, Claude, Grok and other engines. Honeyb
• apidocs.mangools.com — lets you create domain/topic monitors, manage prompts, schedule monitoring, and retrieve citation data. Mangools
• trackee.dev — REST API for checking mentions, positions, citations, and share of voice across ChatGPT, Claude, Gemini, Grok, and Perplexity. Trackee

If your requirement is specifically “does this page appear?”

I'd focus on Honeyb, SE Ranking, Rank Prompt, or Trackee, because they expose the citation/source URLs, rather than merely giving you a generic brand-visibility score. That lets you automate something like:

prompt → AI answer → cited URLs → check whether example.com/page-x is cited → store result → alert if status changes

Honeyb is especially explicit about returning the individual cited pages and their position in the answer. Honeyb

If you tell me whether you need ChatGPT only or ChatGPT + Gemini + Claude + Perplexity, I can narrow this down to the 2–3 APIs that best fit and compare API pricing, rate limits, latency, and whether they return the raw answer/citation URLs.

Yes. The category you’re looking for is usually called an AI visibility / AI search visibility API or GEO/AEO API. These platforms run defined prompts against AI answer engines and return whether your brand/domain was mentioned or cited, often along with the exact answer and cited URLs.

A few current options:

• cituna.com — REST API covering ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews, and AI Mode. It returns raw answers, brand citations/positions, and citation sources. This is particularly close to what you described.
• seranking.com — API for ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, including mentions, citation links, answer text, and position.
• honeyb.ai — API covering eight engines, with prompt-level answers, brand/competitor mentions, positions, sentiment, and cited pages.
• trackee.dev — straightforward API where you provide a brand + prompt + engines and get mentions, position, and cited sources.
• searchfit.ai — geared toward integrating AI visibility into your own dashboards/workflows; supports ChatGPT, Perplexity, Gemini and Google AI surfaces.
• developer.meltwater.com — more enterprise-oriented, with AI visibility data for ChatGPT, Gemini, Perplexity and Copilot.

One important distinction

If by "whether our pages appear" you mean:

"For this exact prompt, did the AI answer cite example.com/page-x?"

rather than simply:

"Did the AI mention our company?"

then look specifically for an API that returns citation URLs / source pages, not just brand mentions. Cituna, SE Ranking, Honeyb, Trackee, and SearchFIT explicitly describe that capability. Cituna SE Ranking Honeyb Trackee SearchFIT

Also, these services don't necessarily measure the literal consumer ChatGPT UI. For some engines, vendors use their API/search surface or other observation methods, so results should be treated as measurements of a particular AI-answer surface rather than universal truth about every possible answer. Digital Applied

If you tell me which assistants you need to monitor (e.g. ChatGPT + Gemini + Perplexity) and roughly how many prompts/pages per day, I can narrow this to the 2–3 APIs that fit and compare pricing/API capabilities.

Yes. What you’re looking for is generally called an AI visibility / LLM visibility / GEO (Generative Engine Optimization) API.

A few platforms currently offer programmatic checks:

• developer.meltwater.com — Tracks whether brands are surfaced and cited in ChatGPT, Gemini, Perplexity, and Copilot. It lets you define prompts and measure results by model. Meltwater Developer Portal
• seranking.com — Covers ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, with mentions, citation URLs, position, and answer text. SE Ranking
• trackee.dev — More developer-oriented: REST API checks prompts against ChatGPT, Claude, Gemini, Grok and Perplexity, returning mentions, positions and cited URLs. Trackee
• searchfit.ai — Particularly relevant if you want to monitor your actual domain/pages rather than just the brand. It provides AEO reports, prompt-level rankings and citations across ChatGPT, Perplexity and Gemini. SearchFIT
• cituna.com — REST API covering seven surfaces, including ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews and AI Mode, with citation positions and source URLs. Cituna

For your specific use case

If by “whether our pages appear” you mean:

“Given 500 questions our customers might ask, automatically determine whether example.com/page-a was cited in the AI answer, across ChatGPT/Perplexity/Gemini/etc.”

I'd look particularly closely at SearchFIT or SE Ranking. If you want to build this capability into your own application, rather than use an SEO dashboard, Trackee or Cituna look more directly API-oriented.

The important distinction is brand mention vs. page citation. A system can say “Acme is a good option” without linking to your site. For SEO/AEO purposes, you probably want to record at least:

prompt
AI engine
answer
brand_mentioned
your_domain_cited
exact_cited_url
citation_position
competitor_mentions
timestamp

That lets you answer the much more useful question: “Which of our pages are actually being used as sources in AI answers, for which queries, and by which assistants?”

If you tell me whether you need API-only, self-hostable, or SaaS, I can narrow these down and compare pricing, API coverage, citation/page-level tracking, and reliability.

Yes. If your goal is programmatically checking whether your own pages/domains are cited or mentioned in AI assistant answers, there are now several APIs specifically built for this.

Strongest options

• developer.meltwater.com — Tracks prompts across ChatGPT, Gemini, Perplexity, and Copilot, including brand mentions, citations, share of voice, and trends. This is probably the best fit if you want an established enterprise platform rather than building the monitoring infrastructure yourself. Meltwater Developer Portal
• api-docs.lumar.io — Particularly relevant if you're thinking in terms of pages/URLs, since it monitors citations and mentions and organizes results by project, provider, topic, prompt, run, and answer. Lumar API Documentation
• mentionsapi.com — More developer-oriented. Its API returns presence, prominence, share of voice, and citation rate across providers such as ChatGPT, Claude, Gemini, and Perplexity. MentionsAPI
• querying.ai — Built around scheduled monitoring. You define prompts, domains, brands and competitors, then retrieve mentions, citations, top cited pages/domains, and share of voice through the API. querying.ai
• demandsphere.com — Interesting if you need raw programmatic data: it exposes endpoints for mentions, citations and full AI responses, including the source URL and prompt that generated the citation. DemandSphere
• trackee.dev — A simpler API-oriented option covering ChatGPT, Claude, Gemini, Grok and Perplexity, with mentions, citations and share of voice. Trackee

If you mean "does this specific page get cited?"

That's an important distinction. You don't just want:

"Does ChatGPT mention Acme?"

You want:

"For prompt X, did the AI answer cite example.com/product/widget?"

For that use case, I'd prioritize Lumar, DemandSphere, querying.ai, or MentionsAPI, because they expose the underlying citations/pages, rather than only giving you a brand-level visibility score. Lumar API Documentation DemandSphere querying.ai MentionsAPI

One caveat: these platforms aren't necessarily measuring the exact same thing as manually asking the consumer-facing ChatGPT website. For example, MentionsAPI explicitly notes that API-generated answers can differ substantially from what users see on chatgpt.com. MentionsAPI

If you're building your own product/API around this, I can also compare these platforms on price, API quality, supported AI engines, whether they return the exact cited URL, scheduling/webhooks, and whether they query real ChatGPT/Claude/Perplexity rather than just their own LLM.

Yes. What you’re looking for is generally called an AI visibility / LLM visibility / GEO (Generative Engine Optimization) API. These platforms programmatically run prompts against AI assistants and return whether your brand/domain was mentioned, recommended, or cited.

A few good options:

• SE Ranking AI Visibility API — tracks ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, with brand mentions, citation URLs, position, share of voice, competitors, and the underlying AI answers. SE Ranking

seranking.com

• Trackee — particularly API-oriented. Its visibility endpoint accepts a brand + prompt + engines and returns mentions, position, recommendations, and cited sources. It supports ChatGPT, Claude, Gemini, Grok, and Perplexity. Trackee

trackee.dev

• Meltwater AI Visibility API — more enterprise-oriented; measures how brands appear across ChatGPT, Gemini, Perplexity, and Copilot and exposes the data through its API. Meltwater Developer Portal

developer.meltwater.com

• Prominence AI — REST API for visibility metrics such as Share of Answer, position, prompt-level performance, and grounding/citation sources across ChatGPT, Gemini, Perplexity and others. Prominence AI

prominenceai.io

• SearchFIT — REST API focused on AI search visibility, share of voice, rankings, and AEO reports across ChatGPT, Perplexity, Gemini and Google AI results. SearchFIT

searchfit.ai

If your specific goal is automated page-level checking

I'd distinguish between two requirements:

1. "Does our brand appear in the answer?"

Most of these APIs handle this well.

2. "Does this particular URL/page appear as a cited source in the answer?"

This is more specific. You want an API that returns the actual cited URLs, ideally tied to the individual prompt and model response.

For that use case, SE Ranking, Trackee, Meltwater, and Prominence AI look particularly relevant because they expose citation/source information rather than just a proprietary visibility score. SE Ranking Trackee Meltwater Developer Portal Prominence AI

If you're building this into your own product/workflow, I can also compare these APIs on price, API quality, rate limits, supported models, whether they return raw answers/citations, and whether they can check individual URLs and recommend the best one.

Yes. What you’re looking for is generally called an AI visibility / LLM visibility / GEO API: an API that runs a set of prompts against AI assistants and tells you whether your brand/domain is mentioned, recommended, or cited.

A few platforms currently offer this:

• trackee.dev — probably the closest match if you want to automate checks yourself. Its API accepts a brand + prompt + selected engines and returns whether you appeared, your position, competitors, and cited sources. It covers ChatGPT, Claude, Gemini, Perplexity, and Grok. Trackee
• developer.meltwater.com — more enterprise-oriented. It monitors prompts across ChatGPT, Gemini, Perplexity and Copilot and provides structured visibility/citation data. Meltwater Developer Portal
• seranking.com — tracks brand mentions, citations, position, prompts and full answers across ChatGPT, Gemini, Perplexity and Google's AI results. SE Ranking
• searchfit.ai — REST API specifically designed to pull AI-search rankings, share of voice and AEO reports into your own systems. SearchFIT
• prominenceai.io — provides programmatic visibility metrics such as Share of Answer, position, prompt performance and grounding/citation sources across major AI engines. Prominence AI
• api-docs.lumar.io — particularly interesting if you're thinking about monitoring individual pages, since it tracks citations and answers and associates them with prompts/providers. Lumar API Documentation

What I'd choose

If your requirement is essentially:

"Every morning, run 500 questions our customers might ask, check ChatGPT/Claude/Gemini/Perplexity, and tell me whether our pages appeared as cited sources."

I'd start with Trackee or Lumar.

The important distinction is that there are two different things you can measure:

1. Brand visibility — "Did ChatGPT mention Acme?"
2. Page/citation visibility — "Did ChatGPT cite acme.com/pricing as a source?"

For SEO/GEO purposes, #2 is much more useful. Trackee explicitly exposes cited sources, while Lumar models individual answers and prompt runs in its API. Trackee Lumar API Documentation

If you tell me which assistants you need (ChatGPT, Gemini, Claude, Perplexity, Copilot, etc.) and whether you need page-level citations rather than just brand mentions, I can narrow this down to the best 2–3 APIs and compare pricing, API limits, prompt automation, and exact response fields.

Yes. The category you’re looking for is usually called an AI visibility / AI search visibility / GEO (Generative Engine Optimization) API.

A few platforms currently offering programmatic access:

• developer.meltwater.com — tracks how brands are surfaced and cited in ChatGPT, Gemini, Perplexity, and Copilot. Good fit if you want enterprise-grade monitoring. Meltwater Developer Portal
• seranking.com — particularly interesting for SEO teams; provides mentions, citation URLs, position, share of voice, and the underlying AI answers across ChatGPT, Gemini, Perplexity and Google's AI surfaces. SE Ranking
• llmpulse.ai — developer-oriented API for prompts, answers, mentions, citations, sentiment and share of voice across ChatGPT, Gemini, Perplexity and other LLMs. LLM Pulse
• trackee.dev — explicitly designed for automated checks: give it a brand + prompt + engines and get whether you appeared, your position, and cited URLs. Trackee
• getmentioned.co — exposes prompt-level visibility and source/citation data for ChatGPT, Perplexity and Gemini. GetMentioned
• mentionsapi.com — more API-first; lets you schedule checks across ChatGPT, Claude, Gemini and Perplexity and receive mentions, positions, sentiment and citations. MentionsAPI

If your specific goal is "does this page get cited?"

I'd narrow the shortlist to SE Ranking, Trackee, LLM Pulse, or GetMentioned. The important distinction is that you don't just want brand mention detection—you want something that returns:

1. The prompt/query tested
2. The AI engine/model
3. The complete answer
4. Whether your domain was mentioned
5. Which exact URL from your site was cited
6. Citation position/context
7. Competitor citations
8. Historical results so you can detect changes

For example, Trackee explicitly exposes the cited URLs, while SE Ranking describes separate metrics for linked/unlinked mentions and the full AI answer. Trackee SE Ranking

One caveat: these products aren't necessarily measuring the exact consumer ChatGPT/Gemini UI. Some use provider APIs or proxies, and some use UI/browser-based methods. That matters if you're trying to make a rigorous claim like "our page appeared in the actual ChatGPT answer a user would have seen." digitalapplied.com

If you tell me whether you're trying to monitor your own site internally, build this capability into a SaaS product, or run an SEO/AEO agency, I can narrow these down to the 2–3 best APIs and compare their pricing, model coverage, and API output.

Yes. If by “appear in AI assistant answers” you mean programmatically checking whether your brand/pages are mentioned or cited in answers from ChatGPT, Gemini, Perplexity, Claude, etc., there are now several APIs/platforms built specifically for this.

Strong options

• SE Ranking AI Visibility API — probably the most established SEO-oriented option I found. It provides API access to AI visibility data across ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, including mentions, citation URLs, position, share of voice, and the underlying answer text. SE Ranking

seranking.com

• Lumar AI Visibility API — particularly interesting if your goal is page-level/site-level monitoring rather than merely brand mentions. It supports ChatGPT, Perplexity, Gemini, Claude, Google AI Mode and AI Overviews, with scheduled prompts, citations, mentions, positions, and quality metrics. Lumar API Documentation
• Trackee — a developer-oriented API that lets you send a prompt and specify engines such as ChatGPT, Claude, Gemini, Grok and Perplexity. It returns mentions, positions, competitors and cited URLs, and supports scheduled monitoring. Trackee

trackee.dev

• MentionsAPI — very API-first. One endpoint can query multiple LLM providers and return brand position, sentiment, context and cited URLs. It also has monitoring endpoints for scheduled checks. MentionsAPI MentionsAPI

mentionsapi.com

• CitationBench — geared toward developers building AI-search monitoring into their own systems. It exposes REST endpoints for checking citations across ChatGPT, Claude and Perplexity, plus history/share-of-voice endpoints. CitationBench
• Meltwater GenAI Lens / AI Visibility API — the more enterprise-oriented choice. Its API measures how brands are surfaced, cited and recommended across ChatGPT, Gemini, Perplexity and Copilot. Meltwater Developer Portal

What I'd choose

If you're building an automated internal checker, I'd shortlist:

1. Lumar — best fit if you care about which of your URLs/pages get cited.
2. SE Ranking — best if you want a mature SEO/AI-visibility dataset and competitive reporting.
3. Trackee or MentionsAPI — best if you want a relatively simple developer API that you can put directly into your own application.

One important distinction: these services generally run controlled prompts against AI providers and measure the resulting answers. They cannot guarantee that the result exactly represents what every individual user sees in ChatGPT, because answers can vary by context, personalization, location, model version, and time. BrandPresence explicitly makes this distinction, for example. BrandPresence

If you tell me whether you want to check (a) brand mentions, (b) specific URL/page citations, or (c) whether an AI answer recommends your company for a set of queries, I can narrow this down to the best 2–3 APIs and compare their pricing/API capabilities.

Yes. If you mean an API you can call programmatically to ask “does my site/page get mentioned or cited in AI assistant answers?”, there are now several options.

Best fits

• developer.meltwater.com — probably the strongest enterprise-oriented option. It monitors prompts across ChatGPT, Gemini, Perplexity, and Copilot and exposes mentions, citations, and visibility data through an API. Meltwater Developer Portal
• seranking.com — more SEO-oriented. It provides programmatic data for ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, including mentions, cited URLs, position, and full answer text. SE Ranking
• mentionsapi.com — particularly interesting if you want a developer-first API rather than an SEO dashboard. One request can query OpenAI, Anthropic, Gemini, and Perplexity and return structured mentions, positions, sentiment, and cited URLs. MentionsAPI
• trackee.dev — another API-first option. Its visibility endpoint accepts a brand + prompt + engines and returns mentions, position, recommendations, and cited sources. Trackee
• api-docs.lumar.io — useful if you're already thinking of this as an SEO/site-monitoring problem; it supports scheduled prompts and tracks citations, mentions, position, sentiment, etc. Lumar API Documentation

One important distinction

If your requirement is specifically:

“Given this URL/page, automatically determine whether ChatGPT/Claude/Gemini/etc. cited or relied upon that page when answering a set of questions.”

I'd prioritize MentionsAPI, Trackee, or Lumar rather than simply calling the OpenAI/Gemini APIs yourself. The latter give you the model response, but you would need to build the monitoring layer—prompt scheduling, repeated runs, mention detection, URL/citation extraction, historical comparison, etc. OpenAI's API, for example, can run web searches, but it isn't itself an AI-visibility monitoring product. OpenAI Platform

If you tell me whether you need to monitor individual URLs, an entire domain, or just a brand, I can narrow this to the 2–3 best APIs and compare pricing, model coverage, API quality, and whether they return the exact cited URLs.

Yes. What you’re looking for is usually called an AI visibility / GEO (Generative Engine Optimization) monitoring API: you submit a set of prompts and programmatically determine whether your brand/site/pages are mentioned or cited in the resulting AI answers.

The strongest options I’d look at are:

• seranking.com — probably the most straightforward if you specifically want an API. It exposes structured AI-visibility data across ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, including brand presence and citations. SE Ranking
• otterly.ai — has a public API for programmatic access to brand reports, prompts, citations and workspace data. It is particularly suited to repeatedly checking a defined prompt set. Otterly
• tryprofound.com — more enterprise-oriented, with deeper AI-search analytics and API access. Good if you need sophisticated monitoring across many brands/prompts rather than just a simple checker. Toolsolved LLM Pulse
• developer.meltwater.com — worth considering if you're already using Meltwater or want enterprise media/brand intelligence alongside AI visibility. Its API specifically measures how brands are surfaced and cited in ChatGPT, Gemini, Perplexity and Copilot. Meltwater Developer Portal
• Promptwatch — another API-oriented option that exposes prompt-level performance and page-level citation data, according to a recent comparison. Toolsolved

If your requirement is specifically "does this URL appear in the answer?"

I'd narrow the shortlist to SE Ranking, Otterly, and Promptwatch. The key distinction is that you don't merely want brand mention monitoring—you want citation/source-level monitoring, e.g.:

Prompt:
"best project management software for remote teams"

AI answer:
1. Asana — https://asana.com/...
2. Monday — https://monday.com/...
3. YourCompany — https://yourcompany.com/guide/remote-teams

→ yourcompany.com appears: YES
→ cited page: /guide/remote-teams
→ position: 3
→ engine: ChatGPT

That distinction matters because some "AI visibility" products primarily report whether the brand was mentioned, while others expose the actual URLs/pages cited.

If you're building this into an internal system, I can also compare the APIs endpoint-by-endpoint (authentication, prompt submission, citation/URL data, webhooks, rate limits, pricing, and supported AI assistants) and tell you which one I'd choose.

Yes. The category you’re looking for is usually called an AI visibility / GEO (Generative Engine Optimization) API. These platforms programmatically test prompts against AI assistants and report whether your brand/domain is mentioned and, importantly, which of your pages were cited.

A few options worth evaluating:

• aisearchapi.dev — purpose-built API for AI visibility. Tracks ChatGPT, Perplexity and Google AI-style answers, including which URLs are cited. AISearchAPI
• mentionsapi.com — particularly developer-friendly. One API can query ChatGPT, Claude, Gemini and Perplexity and return mentions, position, context and cited URLs. MentionsAPI
• demandsphere.com — more enterprise-oriented, with separate endpoints for mentions, citations and full responses, plus webhooks. DemandSphere
• seranking.com — useful if you also want conventional SEO data alongside AI visibility; it covers ChatGPT, Gemini, Google AI Overviews/AI Mode and others. SE Ranking
• apidocs.mangools.com — lets you create domain/topic monitors, manage prompts, and retrieve AI citation data programmatically. Mangools

For your specific use case

If the requirement is:

"Given a set of pages and prompts, automatically tell me whether those pages appear as sources in AI assistant answers."

I'd look first at AI Search API, MentionsAPI, or DemandSphere. The key capability isn't merely brand mentioned; you want citation-level data such as:

Prompt: "best project management tools for startups"

ChatGPT
  Brand mentioned: yes
  Page cited: https://example.com/startups
  Citation position: 2

Perplexity
  Brand mentioned: yes
  Page cited: https://example.com/comparison
  Citation position: 4

Claude
  Brand mentioned: no
  Page cited: none

That distinction matters because an AI can mention your company while citing someone else's page, which is a very different SEO/GEO outcome.

If you tell me whether you're looking to buy an existing API or build this capability into your own product, I can narrow these down to the best 2–3 and compare API coverage, pricing, reliability, and whether they actually query live assistant experiences versus model APIs.

Yes. There are now several platforms specifically built for programmatically checking whether your brand/domain/pages are mentioned or cited in AI assistant answers.

Strong options

• seranking.com — probably one of the most straightforward choices. It tracks ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, and provides mentions, citation URLs, position, share of voice, and the underlying AI answer. SE Ranking
• api-docs.lumar.io — particularly interesting if you want to monitor specific URLs/pages, not just whether your brand is mentioned. It tracks citations and mentions across ChatGPT, Perplexity, Gemini, Claude, Google AI Mode and AI Overviews. Lumar API Documentation
• demandsphere.com — offers REST endpoints for mentions, citations, full responses, sentiment, and webhooks. Useful for feeding AI-visibility data into your own database/dashboard. DemandSphere
• rankprompt.com — API + webhooks, covering ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and Grok. It explicitly supports automated scheduled reports and citation tracking. Rank Prompt
• apidocs.mangools.com — lets you create monitors, manage prompts, schedule monitoring, and retrieve citation data programmatically. Mangools
• reachd.ai — focused on structured visibility data: which businesses are recommended, their order, cited sources, and the queries producing those results. Reachd.ai

If you mean individual pages, not just your brand

That's an important distinction.

If your requirement is something like:

"Run 500 questions against ChatGPT/Perplexity/Gemini every week and tell me which of our URLs were cited in each answer, including the exact citation and position."

I'd look first at Lumar, DemandSphere, or SE Ranking. Lumar's API model explicitly represents projects → prompts → prompt runs → answers and extracts citations from the responses. Lumar API Documentation

If instead you want:

"Given this prompt, does our company appear in the answer?"

then SE Ranking, Reachd, Rank Prompt, or Trackee are closer fits.

One other option worth looking at is trackee.dev, which exposes a simple API for mentions, citations and share of voice across ChatGPT, Claude, Gemini, Grok, Perplexity and Google. Trackee

If you tell me whether you want to monitor (a) specific URLs/pages, (b) brand mentions, or (c) both, I can narrow this down to the 2–3 APIs that best fit and compare pricing, API access, engines, and response data.

Yes. There are now several platforms specifically built for programmatic AI-visibility / citation monitoring—i.e., checking prompts against ChatGPT, Gemini, Perplexity, Claude, etc., and determining whether your domain/pages appear in the answers.

The ones I'd look at first:

• trackee.dev — probably the closest match if you want a straightforward API. Its POST /v1/visibility accepts a brand + prompt + engines and returns mentions, position, competitors, and the URLs cited by the AI answer. It covers ChatGPT, Claude, Gemini, Perplexity and others. Trackee
• mentionsapi.com — particularly interesting if your primary requirement is "which of our URLs/pages are being cited?" It extracts citations from ChatGPT, Claude, Gemini and Perplexity, canonicalizes URLs, and associates each citation with the prompt and provider. MentionsAPI
• seranking.com — more of a full SEO/AI-visibility platform, with API access to brand presence, citations, prompts and competitive data across ChatGPT, Gemini, Perplexity, AI Overviews and AI Mode. SE Ranking
• developer.meltwater.com — enterprise-oriented, covering ChatGPT, Gemini, Perplexity and Copilot, with measurement of whether/how favorably your brand is surfaced, cited and recommended. Meltwater Developer Portal
• citationbench.com — developer-oriented REST API specifically for AI citation tracking, including prompt-level checks, share of voice and historical monitoring. CitationBench
• api-docs.lumar.io — useful if you're already in the technical SEO/crawling ecosystem; it tracks citations and mentions across ChatGPT, Perplexity, Gemini, Claude and Google's AI surfaces. Lumar API Documentation

If your exact requirement is...

"For a list of our URLs, automatically run hundreds of customer queries against AI assistants and tell us which pages were cited."

I'd shortlist MentionsAPI and Trackee first. MentionsAPI appears more directly focused on the URL/citation graph, while Trackee gives you a broader visibility API with mentions, rankings, competitors and cited sources. Trackee MentionsAPI

One important distinction: consumer ChatGPT/Gemini/Claude interfaces vs. their developer APIs can produce different answers. Some vendors query the actual consumer surfaces, while others use the providers' APIs with web search/grounding enabled. If your goal is measuring what real users see, that's a critical question to ask each vendor. ReachSurge

If you tell me your approximate scale (e.g. 100, 10K, or 1M prompts/month) and which assistants you care about, I can compare the APIs on coverage, per-check cost, page-level citation data, rate limits, and whether they actually query the consumer assistants.

Yes. If you mean a platform with an API that can automatically run prompts against AI assistants and tell you whether your site/pages were mentioned or cited, there are several options.

Best fits

• developer.meltwater.com — Measures brand visibility across ChatGPT, Gemini, Perplexity, and Copilot, including whether you're surfaced, cited, or recommended. Good fit if you want an established enterprise platform. Meltwater Developer Portal
• trackee.dev — Particularly straightforward for developers: send a brand + prompt + engines and receive structured visibility results, including cited URLs. Supports ChatGPT, Claude, Gemini, and Perplexity. Trackee
• citationbench.com — Developer-oriented REST API specifically for AI citation monitoring. It can check whether you're cited, citation position, share of voice, and historical trends across ChatGPT, Claude, and Perplexity. CitationBench
• demandsphere.com — More enterprise/SEO-oriented. Its API exposes mentions, citations, sentiment, and full AI responses, including the specific URL cited and the AI platform responsible. DemandSphere
• seranking.com — Useful if you're already in an SEO workflow; provides structured AI visibility data across ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode. SE Ranking

If your requirement is specifically “give it 500 URLs, run 1,000 customer prompts every week, and tell me exactly which URLs appeared as citations in ChatGPT/Claude/Gemini/etc.”, I'd shortlist Trackee, DemandSphere, and CitationBench first.

If you tell me which AI assistants you need to monitor (ChatGPT, Gemini, Claude, Perplexity, Copilot, etc.) and roughly how many prompts/pages, I can compare the APIs on coverage, pricing, rate limits, raw-answer access, citation-level data, and automation support.

Yes. The category you’re looking for is usually called an AI visibility / LLM visibility / AEO (Answer Engine Optimization) API. Several platforms now expose this programmatically.

Best fits

• seranking.com — probably the strongest general-purpose option. It provides structured data for ChatGPT, Gemini, Perplexity, Google AI Overviews, and AI Mode, including brand presence, citations, prompts, and rankings. SE Ranking
• trackee.dev — particularly interesting if you want to build your own automated monitoring system. You send a brand + prompt + engines and get JSON indicating whether the brand appeared, its position, competitors, and cited URLs. It supports ChatGPT, Claude, Gemini, Perplexity, and others. Trackee
• developer.meltwater.com — more enterprise-oriented, measuring how brands are surfaced, cited, and recommended across ChatGPT, Gemini, Perplexity, and Copilot. Meltwater Developer Portal
• api-docs.lumar.io — lets you schedule prompts against ChatGPT, Perplexity, Gemini, Claude, Google AI Mode/Overviews and extract citations, mentions, position, sentiment, etc. Lumar API Documentation
• demandsphere.com — has REST endpoints specifically for mentions, citations, responses, sentiment, and webhooks, which is useful for integrating monitoring into an internal data pipeline. DemandSphere
• searchfit.ai — focused on AEO/AI-search visibility, with API access to share of voice, rankings, prompts, and reports across ChatGPT, Perplexity, and Gemini. SearchFIT

If your specific goal is…

“Every day, automatically ask 500 questions relevant to our business and tell me whether our pages were cited in the answers.”

I'd look first at Trackee, SE Ranking, or DemandSphere.

The important distinction is that you don't merely want a brand-mention tracker. You want an API that returns something like:

prompt
→ AI engine
→ answer
→ brand mentioned?
→ your domain mentioned?
→ exact URL cited?
→ citation position
→ competitors cited
→ timestamp

That lets you build a database of which of your pages are actually influencing AI answers, rather than just measuring whether the company name appeared.

If you tell me whether you're looking for (a) an API to integrate into your own product, (b) an internal monitoring system, or (c) an existing SaaS dashboard, I can narrow these down to the 2–3 best options and compare API pricing/coverage.

Yes. If you mean an API you can call from your own automation to repeatedly ask AI assistants questions and determine whether your site/page is mentioned or cited, there are several platforms now doing this.

Best fits

• seranking.com — probably the most mature fit. Its API tracks prompts across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, and reports mentions, links/citations, position, full answers, and historical tracking. It also has an AI Result Tracker for scheduled prompt checks. SE Ranking
• trackee.dev — particularly interesting if you're building this into an engineering workflow. One API can check mentions, citations, rankings and share of voice across ChatGPT, Claude, Gemini, Grok and Perplexity, with structured results. Trackee
• api-docs.lumar.io — good enterprise-oriented option. It actually runs prompts against AI providers on a schedule and extracts citations, brand mentions, position, sentiment and quality scores. Lumar API Documentation
• searchfit.ai — straightforward REST API aimed at automation. It provides prompt-level rankings, queries where your brand appears, share of voice, and AEO reports across ChatGPT, Perplexity and Gemini. Searchfit
• botseen.com — useful if you mainly want to pull existing visibility/answer data into your own dashboards or automations; it exposes latest answers and visibility data for ChatGPT, Perplexity, Gemini, Google AI and Claude. BotSeen
• sempite.com — more lightweight API: send a brand/domain and market, and get whether it appears, whether its site is cited, an answer snippet, and a visibility score. SEMPITE

One important distinction

If your requirement is specifically:

"Given these 500 URLs and 1,000 prompts, tell me which URLs were actually cited in the AI answers."

I'd prioritize SE Ranking, Lumar, or Trackee, because they expose the actual answer + cited sources, rather than merely giving you a brand-level visibility score. SE Ranking Lumar API Documentation Trackee

If you're building your own product/API around this, Trackee and SearchFIT look especially relevant because they're explicitly designed to feed the data into your own stack. Trackee Searchfit

If you tell me which assistants you need to test (ChatGPT, Claude, Gemini, Perplexity, etc.) and whether you need page-level citations rather than just brand mentions, I can narrow this to the best 2–3 APIs and compare pricing, endpoints, and coverage.

If you mean an API that lets you programmatically check whether your website/pages are being mentioned or cited in AI assistant answers (ChatGPT, Claude, Gemini, Perplexity, etc.), the category is usually called AI visibility API, GEO (Generative Engine Optimization) API, or AEO (Answer Engine Optimization) API.

Some platforms with APIs:

A typical automated workflow looks like:

1. Maintain a set of customer-like prompts:

• “best project management tools for startups”
• “alternatives to [competitor]”
• “who provides [service] in [market]”
• Run those prompts periodically against AI answer engines.
• Extract:

• Was our brand mentioned?
• Was our URL cited?
• Which page appeared?
• What position/ranking did we receive?
• Which competitors appeared instead?
• Store results in your own dashboard/warehouse.

If you specifically want page-level citation tracking (“did example.com/pricing appear in ChatGPT answers?” rather than just “was our brand mentioned?”), prioritize APIs that return citations/source URLs, such as SE Ranking, Website Auditor, Kiodo, Trackee, or Mangools. Website Auditor SE Ranking Trackee Mangools

If you are building this internally, another option is to query the AI providers directly where available, but most teams use these monitoring APIs because they handle prompt sets, model differences, scheduling, and normalization.

Yes. What you’re looking for is generally called an AI search visibility / AEO (Answer Engine Optimization) API. These platforms automatically run prompts against AI assistants and tell you whether your brand/domain/pages were mentioned or cited, often including the exact URL.

A few good options:

• seranking.com — probably the strongest fit if you want a conventional API. It covers ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, with structured data for mentions, citations, prompts and share of voice. SE Ranking
• otterly.ai — particularly relevant if the question is “which of our URLs are AI assistants actually citing?” It tracks individual cited URLs and offers a public API for reports, prompts, citations and workspace data. It covers ChatGPT, Perplexity, Google AI, Gemini, Copilot and Claude. Otterly Otterly
• peec.ai — tracks both content that was used to generate an answer and URLs that were explicitly cited, down to the domain/URL level, and offers a REST API. Peec AI
• honeyb.ai — API-first option with JSON/evidence for mentions and citations across ChatGPT, Gemini, Claude, Perplexity, AI Overviews/Mode, Grok and DeepSeek. Honeyb
• searchfit.ai — REST API specifically designed for automation, including prompt-level rankings, citations, share of voice and AEO reports. SearchFIT

If your requirement is specifically “does this page appear?”

I'd shortlist OtterlyAI, Peec AI, and SE Ranking. The important distinction is that you don't just want a brand mention tracker; you want URL-level citation tracking.

For example, your automated job could submit:

Target domain: example.com
Prompts:
  - "best accounting software for startups"
  - "how should a startup handle bookkeeping?"
  - "alternatives to QuickBooks"

Engines:
  - ChatGPT
  - Perplexity
  - Gemini

and receive something conceptually like:

{
  "prompt": "best accounting software for startups",
  "engine": "chatgpt",
  "brand_mentioned": true,
  "cited": true,
  "cited_urls": [
    "https://example.com/startup-accounting-guide"
  ],
  "citation_position": 2
}

One caveat: “checking ChatGPT” via an API isn't necessarily identical to checking the consumer ChatGPT UI. Some providers query an API/search surface or simulate the consumer experience. That distinction matters if you're using the data as a rigorous KPI. Digital Applied

If you tell me whether you need (a) an API you can call from your own backend, (b) a dashboard, or (c) an API that can check hundreds/thousands of URLs automatically, I can narrow this to the 2–3 best choices and compare API access, engines, URL-level citation data, pricing, and rate limits.

Yes. What you’re describing is generally called an AI visibility / LLM visibility API: you give it prompts and domains/brands, and it programmatically checks whether AI assistants mention your brand and, importantly, whether they cite specific pages on your site.

A few platforms worth looking at:

• seranking.com — probably one of the strongest fits if you want an established SEO platform. It exposes brand presence, citations, prompts and rankings across ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode. SE Ranking
• trackee.dev — particularly developer-friendly. You can submit a prompt + brand + engines and get structured results indicating mentions, position, recommendations and cited URLs. It supports ChatGPT, Claude, Gemini, Grok and Perplexity. Trackee
• searchfit.ai — REST API specifically designed for automation, with prompt-level rankings, citations, share of voice and AEO reports. SearchFIT
• developer.meltwater.com — more enterprise-oriented, measuring how brands are surfaced, cited and recommended across ChatGPT, Gemini, Perplexity and Copilot. Meltwater Developer Portal
• llmpulse.ai — API access to brand mentions, citation sources, sentiment and share-of-voice data across several LLMs. LLM Pulse

If your exact requirement is "does this URL appear in the answer?"

I'd narrow the shortlist to Trackee and SE Ranking. Trackee's API explicitly returns the cited sources for a prompt, while SE Ranking exposes citation data and prompt-level visibility. Trackee SE Ranking

The workflow would look roughly like:

Your pages
   ↓
Define 100–1,000 target prompts
   ↓
API runs prompts against ChatGPT / Gemini / Perplexity / etc.
   ↓
Capture:
  - Was our brand mentioned?
  - Was our domain cited?
  - Which exact URL was cited?
  - Which competitors were cited?
  - Where in the answer did we appear?
   ↓
Store results → alert/report/dashboard

One important distinction: checking whether your page is cited is different from checking whether your brand is mentioned. For SEO/AEO purposes, I'd track both. Ahrefs, for example, explicitly separates AI mentions from AI citations and reports the specific pages being cited. ahrefs.com

If you tell me whether you want to monitor your own pages, competitors' pages, or arbitrary URLs, I can recommend the best API and compare pricing, API access, supported AI assistants, citation-level data, and rate limits.

Yes. There’s now a fairly mature category for this: AI visibility / GEO APIs. If your goal is to automate checks like “Does ChatGPT mention our site for these prompts, and does it cite one of our pages?”, I’d look at these:

• mentionsapi.com — probably the most directly API-oriented option. It can run prompts against ChatGPT, Claude, Gemini, and Perplexity and return brand mentions, position, sentiment, and cited URLs. It also has scheduled monitoring endpoints. MentionsAPI MentionsAPI
• seranking.com — more of an established SEO platform with an API. Tracks visibility across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, etc., including citations and share of voice. SE Ranking
• developer.meltwater.com — particularly interesting if you're already using Meltwater. Its API explicitly measures how brands are surfaced, cited, and recommended by ChatGPT, Gemini, Perplexity, and Copilot. Meltwater Developer Portal
• api-docs.lumar.io — useful if the question is closely tied to your actual web pages. It tracks AI responses, citations, mentions, positions, and quality scores across several AI providers. Lumar API Documentation
• prominenceai.io — designed specifically for programmatic AI-search visibility, with metrics such as Share of Answer, average position, prompt-level results, and grounding sources. Prominence AI
• honeyb.ai — particularly good if you care about which pages/sources are influencing answers. It exposes mentions, citations, share of voice, recommendations, and crawler-access data. Honeyb

What I'd choose

If you're building an internal automated checker, I'd start with MentionsAPI because it looks closest to a raw developer primitive rather than a dashboard product. For example, your system could maintain:

Prompt:
"What are the best project management tools for enterprise teams?"

Expected:
- Does our brand appear?
- Is our domain cited?
- Which of our URLs are cited?
- Position in answer
- Competitors mentioned
- Model/provider
- Timestamp

Then run that set of prompts daily/weekly and store the results.

If your more specific requirement is “which of our individual pages are being cited by AI assistants?”, rather than simply “is our brand mentioned?”, I'd lean toward Lumar or Honeyb, because their APIs explicitly expose citation/source information. Lumar API Documentation Honeyb

One important distinction: don't confuse this with simply calling the OpenAI/Anthropic/Gemini APIs yourself. Those APIs can tell you what a model says, but the specialized visibility platforms add the monitoring, repeated sampling, citation extraction, competitor comparison, and historical tracking needed to answer “are we appearing consistently?”

If you tell me whether you need (1) an API only, (2) a SaaS dashboard + API, or (3) something you can self-host, I can narrow this to the best 2–3 options and compare pricing/API capabilities.

Yes. What you’re looking for is generally called an AI visibility / GEO (Generative Engine Optimization) API: you give it prompts and domains, and it programmatically tells you whether your brand/pages are mentioned or cited in AI answers.

A few current options:

• seranking.com — tracks visibility across ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, with structured API data. SE Ranking
• searchfit.ai — REST API specifically designed for automation; provides prompt-level rankings, citations, share of voice, and AEO reports across ChatGPT, Perplexity and Gemini. SearchFIT
• demandsphere.com — particularly interesting if you need raw data: mentions, citations, prompts, and full AI responses via REST endpoints. DemandSphere
• mentionsapi.com — more developer-oriented. It normalizes citations from ChatGPT, Claude, Gemini and Perplexity into canonical URLs, making it useful for answering “which of our pages is being cited for which prompt?” MentionsAPI
• aisearchapi.dev — positioned as an underlying API for building your own AI-visibility product, including answer monitoring, citation tracking and share-of-voice. AI Search API
• foglift.io — offers a REST API, CLI and MCP, with monitoring across ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews. Foglift

Which I'd choose

If your requirement is specifically:

“Every day, automatically ask a set of questions and tell me whether any of our URLs appear in the AI answer.”

I'd shortlist MentionsAPI, DemandSphere, and SearchFIT. MentionsAPI looks particularly aligned if page-level citation detection is the core requirement, whereas DemandSphere looks stronger if you want the raw answers + mentions + citations for your own analysis. MentionsAPI DemandSphere

If you tell me whether you need ChatGPT only vs. ChatGPT + Gemini + Claude + Perplexity, and whether you care about mentions, citations, or exact URLs, I can narrow this to the best 2–3 APIs and compare pricing/API capabilities.

If you mean programmatically checking whether your webpages/domains are being surfaced, cited, or recommended in AI assistant answers (ChatGPT, Claude, Gemini, Perplexity, Copilot, etc.), the category is usually called AI visibility API, LLM visibility tracking, Generative Engine Optimization (GEO), or Answer Engine Optimization (AEO).

Some platforms with APIs for this are:

• Meltwater — its AI Visibility API (GenAI Lens) tracks how brands appear in AI assistant answers, including mentions, citations, sentiment, and share of voice across systems such as ChatGPT, Gemini, Perplexity, and Copilot. Meltwater Developer Portal
• Mangools — its AI Search Watcher API lets you create monitors for domains/topics, manage prompts, and retrieve AI citation/visibility data. Mangools
• SE Ranking — provides an AI Visibility API for tracking brand presence, citations, prompts, and competitors across AI-generated answers. SE Ranking
• Kiodo — more developer-oriented; exposes AI visibility checks as structured API responses, including brand presence, competitors, citations, and gaps. Kiodo
• Honeyb — offers API endpoints for visibility, mentions, citations, share of voice, and crawler access across AI engines. Honeyb

If you want to run your own automated tests (for example: “every day ask 500 buyer-intent prompts and tell me whether example.com is cited”), look for APIs that provide:

• Prompt management (store your target questions)
• AI engine coverage (ChatGPT, Claude, Gemini, Perplexity, Copilot, etc.)
• Full answer capture
• Citation extraction (which URLs were referenced)
• Domain/URL matching
• Historical tracking and alerts
• JSON API output for dashboards

For a developer building this into an internal system, I’d generally look first at API-first options like Kiodo or Honeyb; for marketing/SEO teams, Meltwater or SE Ranking are closer to a finished platform. Kiodo Honeyb SE Ranking

One distinction: some tools measure whether AI crawlers can access your pages (robots.txt, llms.txt, crawlability), while others measure whether your pages actually appear in AI answers. Those are related but different checks. isvisible.ai

If you mean an API that lets you automatically test whether your web pages are being surfaced, cited, or mentioned in AI assistant answers, the category is usually called AI visibility / LLM visibility / GEO (Generative Engine Optimization) monitoring. Options include:

For an engineering team building an internal monitor, the typical workflow is:

1. Define a set of buyer-style prompts: - “What are the best tools for X?”
2. “Compare A vs B”
3. “Who provides Y service?”
4. Run those prompts on a schedule against AI systems.
5. Capture: - whether your domain appears
6. which URL is cited
7. ranking/position in the answer
8. competitor mentions
9. answer text snapshots
10. Store results and track changes over time.

A few caveats:

• There generally is not a single official API from ChatGPT, Gemini, Claude, etc. that tells you “your page appeared in users’ answers.” These platforms measure visibility by running controlled prompts and analyzing outputs instead. Tracemetry
• If you specifically care about your URLs being cited, choose a tool that returns citation/source extraction, not just brand mentions. MentionsAPI DemandSphere

If you are building this yourself, I would look first at MentionsAPI (simpler developer API) or DemandSphere/Meltwater (more enterprise reporting). MentionsAPI DemandSphere

Yes. If by “appear in AI assistant answers” you mean automatically test prompts and determine whether your domain/pages are mentioned or cited, there are several platforms with APIs now.

Strongest options

• OtterlyAI — probably the closest fit. Its public API exposes brand reports, prompts, citations, recommendations, and GEO audits. It monitors ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot, and Claude. otterly.ai
• DemandSphere LLM API — particularly interesting if you want page-level citation data programmatically. Its API exposes mentions, citations, and full responses, including the cited URL, citation position, surrounding context, triggering prompt, and AI platform. www.demandsphere.com
• Mangools AI Search Watcher API — lets you create monitors for domains/topics, manage prompts, and retrieve citation data across AI-powered search surfaces. apidocs.mangools.com
• SE Ranking AI Visibility API — provides structured visibility, citation, prompt, and share-of-voice data across ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode. seranking.com
• Reachd API — more focused on measuring recommendations, competitors, citations, and sources across ChatGPT, Google AI, Perplexity, Claude, and Grok. reachd.ai

For your specific use case

If the automated check is something like:

“Run these 500 questions every week and tell me which of our URLs were cited in the answers, by which AI, and whether our competitors appeared instead.”

I'd shortlist OtterlyAI and DemandSphere first. DemandSphere looks especially well-suited if exact URL/page citation tracking is the key requirement; OtterlyAI looks stronger if you want a broader GEO/AI-search monitoring product around the API. otterly.aiwww.demandsphere.comcloro.dev

One important distinction: these services generally query the AI/search experiences and analyze the resulting answers; they're not simply checking whether an AI crawler can access your page. That distinction matters because crawlability does not guarantee that a page will actually be cited. cloro.dev

If you tell me whether you need (a) an API to run your own prompts, (b) page-level citation monitoring, or (c) an API you can embed into your own SaaS, I can narrow this to the best 2–3 and compare API capabilities/pricing.

Yes. There’s now a fairly mature category of AI visibility / GEO APIs for exactly this: automatically running prompts through AI assistants and checking whether your brand/domain/pages are mentioned or cited.

Best fits

• seranking.com — probably the strongest established SEO-platform option. It exposes structured AI-visibility data across ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, including brand presence and citations. SE Ranking
• mentionsapi.com — more developer-oriented. One API can query ChatGPT, Claude, Gemini and Perplexity, track brands, positions, sentiment and cited URLs. MentionsAPI MentionsAPI
• demandsphere.com — particularly interesting if you need citation-level/page-level data. Its API exposes mentions, citations, full responses, sentiment and webhooks. DemandSphere
• honeyb.ai — focused specifically on AI-search rank tracking, with APIs for mentions, citations, visibility, share of voice and crawler accessibility across eight engines. Honeyb
• searchfit.ai — REST API for AI visibility, AEO reports, rankings and share of voice across ChatGPT, Perplexity and Gemini. SearchFIT
• apify.com — useful if you want something you can integrate programmatically without committing to a specialized SaaS platform. It runs checks against ChatGPT, Gemini and Perplexity and returns mentions, competitors and cited sources through Apify's API. Apify

If your actual requirement is "does this page get cited?"

I'd narrow it to DemandSphere, Honeyb, SE Ranking, or MentionsAPI. The important distinction is that merely detecting "Does ChatGPT mention our company?" isn't enough. You want something that records:

prompt → AI engine → answer → mentioned? → cited? → exact cited URL → citation position → competitors → timestamp

That lets you automate something like:

Run 500 customer-intent prompts weekly across ChatGPT/Perplexity/Gemini → determine whether our domain appears → identify which of our URLs were cited → alert when a previously cited page disappears.

For a developer building this into your own product, I'd look at MentionsAPI first because its positioning is explicitly API-first, while for an enterprise SEO/marketing workflow, SE Ranking or DemandSphere looks more compelling. MentionsAPI DemandSphere

If you tell me whether you need ChatGPT specifically, all major assistants, or individual URL/page citation tracking, I can narrow this down to the 2–3 APIs that best fit and compare their pricing/API capabilities.

Yes. If you mean an API you can call from your own system to automatically test whether specific pages/domains are cited in AI assistant answers, there are several options now.

Best fits

For your particular wording—"does this page appear in AI assistant answers?"—I'd look especially closely at Lumar and Apify. Lumar has an explicit AI Visibility API that schedules prompts and extracts citations from the resulting answers. api-docs.lumar.io apify.com

SE Ranking is another strong option if you want a more mature SEO platform around the API: its API exposes mentions, citation links, average position, competitor share of voice, and the underlying AI answer text, with scheduled prompt tracking. seranking.com

If you're building this into your own product, rather than buying a dashboard, MentionsAPI is worth investigating because it provides a relatively simple unified API across four models and returns cited URLs alongside mention/position data. mentionsapi.com

One important distinction: brand mention ≠ page citation. If your KPI is "Did example.com/blog/foo actually get cited in the answer?", make sure the vendor exposes the specific cited URL, not merely whether your brand/domain was mentioned. Apify's tracker, for example, explicitly returns cited_page_url and citation rank. apify.com

If you tell me whether you're building an internal monitoring system, an SEO product, or an agency/reporting workflow, I can narrow this to the 2–3 APIs I'd actually choose and compare their pricing/API capabilities.

If you mean an API that programmatically checks whether your web pages/domains appear in AI assistant answers (ChatGPT, Claude, Gemini, Perplexity, etc.), the category is usually called AI visibility monitoring, GEO (Generative Engine Optimization) tracking, or AEO (Answer Engine Optimization).

Some platforms with APIs or developer access:

For an engineering team building this internally, the typical workflow is:

1. Maintain a library of customer/user prompts:

• “What are the best tools for X?”
• “Compare X vs Y”
• “Who provides X service?”
• Run those prompts against target AI engines.
• Parse:

• Was our domain mentioned?
• Was a specific URL cited?
• Where did it appear in the answer?
• Which competitors appeared?
• What sources were referenced?
• Store results over time to calculate:

• AI share of voice
• citation rate
• prompt coverage
• competitor visibility

If your requirement is specifically “tell me whether URL example.com/page-a was cited in ChatGPT answers via an API”, I’d look first at an API-first tool like MentionsAPI or an Apify-based pipeline. If you need enterprise reporting integrated with SEO/marketing workflows, Lumar or Meltwater are closer fits. MentionsAPI Lumar API Documentation Meltwater Developer Portal

One caveat: there is no universal “AI Search Console” that exposes all ChatGPT/Gemini/Claude consumer answers. Most tools simulate representative prompts and measure visibility statistically rather than reading every user conversation. tracemetry.com

Yes. If you mean programmatically testing prompts and determining whether your site/pages are mentioned or cited in AI answers, there are several platforms now offering APIs.

Best fits

• Meltwater AI Visibility API — probably the strongest enterprise-oriented option. It measures how brands appear, are cited, and recommended across ChatGPT, Gemini, Perplexity, and Copilot. developer.meltwater.com

Meltwater AI Visibility API

• SE Ranking AI Visibility API — particularly relevant if you want prompt-level visibility, mentions, citations, and share of voice exposed programmatically. It covers ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, and others. help.seranking.com

• Mangools AI Search Watcher API — more purpose-built around monitoring domains/topics and citations. You can create monitors, manage prompts, and retrieve AI citation data. apidocs.mangools.com

Mangools AI Search Watcher API

• MentionsAPI — useful if you want a relatively simple developer API. One endpoint can query multiple LLM providers and return brand mentions, rank/position, sentiment, and cited URLs. mentionsapi.com

MentionsAPI

• Kiodo — interesting if you're actually building this capability into your own application. Its aiVisibility.check() API returns visibility, share of answer, cited sources, etc. kiodo.dev

Kiodo API

One important distinction

If your requirement is specifically:

“Given 500 URLs and 200 prompts, automatically determine which exact pages from our domain are cited in AI assistant answers.”

I'd prioritize SE Ranking, Mangools, Meltwater, or MentionsAPI, rather than a generic LLM API. The key capability you want is citation/source extraction, not merely asking an LLM whether it knows about your brand.

For example, your automated pipeline could look like:

prompt → AI answer → cited URLs → normalize URLs → match against your URL inventory → page-level visibility metrics

That lets you measure “AI citation coverage by page”, rather than just “does the brand appear?”

If you tell me whether you're looking for (a) an API you can call internally, (b) a SaaS platform with an API, or (c) something you can embed into your own product, I can narrow this to the best 2–3 options and compare API pricing, engines covered, and whether they return the exact cited URL.

Yes. What you’re looking for is generally called an AI visibility / LLM visibility API or GEO (Generative Engine Optimization) tracking API.

A few options stand out:

• Lumar AI Visibility API — probably the closest match for an enterprise workflow. It can monitor prompts across ChatGPT, Perplexity, Gemini, Claude, Google AI Mode and AI Overviews, then extract brand mentions and cited URLs/pages. api-docs.lumar.io
• Meltwater AI Visibility API — provides API access to AI responses, brand mentions, citations, sentiment and share of voice across ChatGPT, Gemini, Perplexity and Copilot. developer.meltwater.comapi-docs.lumar.io
• Prominence AI API — specifically designed for programmatic AI visibility, including Share of Answer, position, prompt-level performance and grounding/citation sources. prominenceai.ioapi-docs.lumar.io
• MentionsAPI — a more developer-oriented option. One API can run prompts against ChatGPT, Claude, Gemini and Perplexity and return brand position, sentiment and cited URLs. mentionsapi.com
• Keyword.com AI Visibility API — useful if you primarily want aggregated visibility metrics and reporting rather than the raw AI answers. keyword.com

If your actual requirement is "does this specific page get cited?"

I'd narrow the field to Lumar, Meltwater, or Prominence. They go beyond simply checking whether your brand was mentioned and provide information about the URLs/pages being cited in the answer, which sounds closer to your use case. api-docs.lumar.io

For example, your automation could maintain:

prompt → AI provider → answer → was brand mentioned? → was our domain cited? → which URL? → citation position → competitor cited?

If you tell me whether you need raw answers/API responses or just visibility/citation metrics, I can compare the best 3–5 APIs on pricing, API access, supported assistants, and whether they can test individual URLs/pages.

Yes. If you mean a platform you can call programmatically to repeatedly ask AI assistants questions and determine whether your site/page is mentioned or cited, there are several options now.

Best fits

• MentionsAPI — probably the most straightforward developer-oriented option. Its API can query ChatGPT, Claude, Gemini, and Perplexity, track specified brands, and return mention position, sentiment, surrounding context, and cited URLs. It also supports scheduled monitoring/webhooks. mentionsapi.comwww.citationbench.comfoglift.io
• CitationBench — particularly relevant if your actual KPI is “does AI cite our pages?” Its API has citation-check and historical/share-of-voice endpoints, with results for ChatGPT, Claude, and Perplexity. www.citationbench.com
• Foglift API — offers a REST API specifically for AI-search visibility, including whether ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews cite your brand. foglift.io
• Meltwater AI Visibility API — more enterprise-oriented. It monitors prompts across ChatGPT, Gemini, Perplexity, and Copilot and measures whether/how your brand is surfaced, cited, or recommended. developer.meltwater.com

If you're checking individual pages, not just brand mentions

I'd focus on CitationBench or MentionsAPI. The distinction is important:

“Does ChatGPT mention Acme?” ≠ “Does ChatGPT cite acme.com/specific-page?”

For a page-level monitoring system, you'd want to run a fixed set of prompts, capture the complete AI response, extract all cited URLs, normalize them to your domain/page, and record something like:

prompt → model → mentioned? → cited? → cited URL → position → timestamp

That gives you a much more useful metric than a generic “AI visibility score.”

If you tell me which assistants you need to monitor (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, etc.) and whether you need the actual page URL or merely a brand mention, I can narrow this down to the best 2–3 APIs and compare their pricing/API capabilities.

Yes. If you mean “give it a set of prompts and automatically determine whether our domain/pages are mentioned or cited in the resulting AI answers,” there are a few platforms built specifically for this.

Best fits

OtterlyAI is probably the closest match to what you're describing. Its API exposes brand mentions, prompt-level results, and specifically which URLs/domains are being cited by each AI engine. Its current API is available on Standard, Premium, and Custom plans. help.otterly.ai

One important distinction: Otterly says it generally queries the AI platforms' public web interfaces rather than their APIs, because API responses can differ from what users actually see. That's useful if your goal is an automated approximation of real-user AI visibility. help.otterly.ai

Profound is the other one I'd investigate if you're building this into an internal analytics system. Its REST API can return visibility metrics as well as raw prompt/answer data, and it has official Python and JavaScript/TypeScript SDKs. Its API is currently beta/access-by-request. docs.tryprofound.com

For example, you could build a daily job roughly like:

Your prompt set
      ↓
AI visibility platform API
      ↓
AI-generated answers
      ↓
Check:
  • Was our brand mentioned?
  • Was our domain cited?
  • Which exact page was cited?
  • Position/order of citation
  • Competitors mentioned?
      ↓
Store results
      ↓
Alert when a page disappears / competitor replaces it

If your actual requirement is “I give you 10,000 URLs and 500 prompts, and I need an API that tells me exactly which of those URLs appear in ChatGPT/Perplexity/Gemini answers”, I can compare the available APIs specifically on URL-level citation detection, prompt execution, scale/rate limits, cost, and whether they query the real consumer interfaces versus LLM APIs.

Yes. What you’re looking for is generally called an AI visibility / LLM visibility / AEO (Answer Engine Optimization) API. These platforms automate prompts against multiple AI assistants and tell you whether your brand/domain/pages were mentioned or cited.

A few options worth looking at:

For your specific wording — “do our pages appear in AI assistant answers?” — I'd look especially closely at DemandSphere and Lumar. DemandSphere explicitly exposes a citations endpoint that returns the cited URL, citation position/context, triggering prompt, and AI platform. www.demandsphere.com Lumar models the workflow as provider → prompt → run → answer → citations, which is quite close to what you'd want to automate. api-docs.lumar.io

DemandSphere LLM API
Lumar AI Visibility API docs
Prominence AI API
Meltwater AI Visibility API

If you're building this into your own system

I'd structure the automated check as:

your target prompts
       ↓
AI visibility API
       ↓
ChatGPT / Gemini / Perplexity / Claude / etc.
       ↓
raw answer
       ↓
extract:
  - did our brand appear?
  - did our domain appear?
  - which exact URLs were cited?
  - citation position
  - competitors mentioned
  - answer timestamp
       ↓
store + alert when visibility changes

One important distinction: “brand mentioned” and “our page cited” are different metrics. Ahrefs, for example, explicitly separates AI mentions from citations. ahrefs.com If your KPI is specifically “which of our URLs are being used as sources by AI assistants?”, make sure the API provides citation-level URL data, rather than merely a brand-visibility score.

If you tell me whether you want (a) an API you can call directly from your code, (b) a SaaS dashboard with API access, or (c) the cheapest option at scale, I can narrow this to the 2–3 best choices and compare pricing/limits.

Yes. If your goal is programmatically checking whether your pages/brand are mentioned or cited in AI assistant answers, a few platforms now offer APIs.

Best fits

1. Scrunch — probably the closest match
   • Has both a Query API and Responses API.
   • The Responses API gives you the full AI answer, citations, sentiment, competitors, and metadata for each prompt execution. scrunch.com
   • Monitors ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok, and Meta AI. helpcenter.scrunchai.com
   • This is particularly useful if you want to build an automated pipeline like:

your prompts → AI answers → extract citations → check whether your URLs appear → store results.

2. OtterlyAI — strong API/reporting option
   • Its API exposes brand mentions, domain citations, prompt-level results, share of voice, and sentiment. help.otterly.ai
   • Tracks ChatGPT, Gemini, Perplexity, Claude, Copilot, Google AI Overviews and AI Mode. helpcenter.scrunchai.comhelp.otterly.aiwww.tryprofound.comhelp.otterly.ai
   • One caveat: Otterly says its monitoring itself interacts with the consumer web interfaces rather than AI APIs, specifically to capture what users actually see. help.otterly.ai

3. Profound — enterprise-oriented
   • Tracks visibility, citations, competitors and answer-engine responses across ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews/AI Mode, Grok, etc. www.tryprofound.com
   • Also captures responses from the consumer-facing browser experience rather than simply querying model APIs. www.tryprofound.com
   • I'd investigate this if you're looking for an enterprise AEO/GEO platform rather than just an API.

What I'd choose

If you're building an internal system and the requirement is specifically:

"Given 1,000 URLs and a set of prompts, automatically determine whether each URL gets cited in AI answers."

I'd start with Scrunch because its Responses API explicitly returns the underlying answers and citations, rather than just a visibility score. scrunch.com

If instead you want a ready-made monitoring system + API feeding your data warehouse/dashboard, I'd look at OtterlyAI.

One important distinction: AI crawler traffic ≠ appearing in an AI answer. A crawler visiting your page tells you an AI system can access it; it doesn't establish that the page was actually cited in a response. Scrunch and OtterlyAI separately address answer/citation visibility. help.otterly.ai

If you tell me whether you need (a) raw answers + citations via API, (b) just URL-level citation checks, or (c) an enterprise monitoring platform, I can narrow this to the best 2–3 options and compare API pricing/limits.

Yes. This is generally called AI visibility / AI search visibility / GEO monitoring. There are now several platforms with APIs specifically for automating checks of whether your pages or brand appear in AI-generated answers.

Best fits

If your actual requirement is "does this specific URL appear in the answer?"

I'd narrow the field to DemandSphere, Lumar, CitationBench, or MentionsAPI.

The important distinction is that you don't just want brand mention monitoring. You want something like:

Run prompt X against AI engine Y → capture the answer → extract cited URLs → determine whether example.com/page-a was cited → store result over time.

DemandSphere looks particularly close to that architecture because its API explicitly exposes citation data including the cited URL, citation position, surrounding context, triggering prompt, and referring AI platform. It also offers webhooks. www.demandsphere.com

Lumar similarly models the workflow as Projects → Providers → Topics → Prompts → Prompt Runs → Answers → Citations, which is useful if you're building a systematic monitoring pipeline. api-docs.lumar.io

If you tell me whether you want to monitor your own pages, competitors' pages, or arbitrary URLs, I can compare the APIs—including pricing, supported models, rate limits, and whether they return the raw AI answer + exact cited URL—and recommend the best one.

Yes. What you’re looking for is generally called AI visibility / GEO (Generative Engine Optimization) tracking: an API or platform that repeatedly sends defined prompts to AI assistants and determines whether your brand/domain/pages are mentioned or cited.

A few options stand out:

• Meltwater AI Visibility API — tracks how brands appear in ChatGPT, Gemini, Perplexity, and Copilot, including whether they are surfaced, cited, or recommended. It has an actual API, making it suitable for programmatic monitoring. developer.meltwater.com
• Lumar AI Visibility API — particularly relevant if your question is specifically about whether your web pages get cited. It tracks citations/URLs as well as brand mentions across ChatGPT, Perplexity, Gemini, Claude, Google AI Mode, and Google AI Overviews. api-docs.lumar.io
• DemandSphere LLM Visibility API — provides REST endpoints for mentions, citations, and full AI responses, with filters by platform, prompt, date, etc. This looks strong if you're building an internal monitoring system. www.demandsphere.comapi-docs.lumar.io
• MentionsAPI — a more developer-oriented option. Its API can run prompts across ChatGPT, Claude, Gemini, and Perplexity and return mentions, positions, sentiment, and cited URLs. mentionsapi.com

If your requirement is specifically "does this URL/page appear?"

I'd shortlist Lumar and DemandSphere first. They go beyond "was our brand mentioned?" and expose citation-level information, including the URL cited and the prompt/response associated with it. www.demandsphere.comapi-docs.lumar.io

For example, your automation could essentially ask:

For these 10,000 target pages, run these 500 relevant prompts against ChatGPT/Gemini/Perplexity → tell me which pages were cited, how often, in what position, and which competitors' pages were cited instead.

If you tell me whether you're looking for (a) an off-the-shelf SaaS, (b) a raw API to build into your own product, or (c) something that can monitor thousands/millions of URLs, I can narrow this down to the best 2–3 options and compare API access, coverage, pricing, rate limits, and whether they return the exact cited URL.

Yes. If you mean an API you can call programmatically to test prompts and determine whether your website/pages are mentioned or cited in AI answers, there are several options.

Best fits

1. DemandSphere LLM API — probably the closest match to your requirement.

Its API exposes mentions, citations, full AI responses, source URLs, citation position, and context across ChatGPT, Perplexity, Gemini, and Copilot. It provides REST/JSON endpoints and webhooks. www.demandsphere.com
DemandSphere LLM API

2. MentionsAPI — more developer-oriented and potentially easier if you want to build your own monitoring system. One API call can query ChatGPT, Claude, Gemini, and Perplexity and return brand position, sentiment, surrounding context, and cited URLs. mentionsapi.com

MentionsAPI

3. Bourd — an AI-visibility tracker with an API/MCP on every plan. It covers ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, Meta AI, Google AI Overviews, and AI Mode. bourd.dev

Bourd

4. Meltwater AI Visibility API — a stronger enterprise option. Its API measures whether/how a brand is surfaced, cited, and recommended in ChatGPT, Gemini, Perplexity, and Copilot. developer.meltwater.com

Meltwater AI Visibility API

One important distinction

If your goal is specifically:

“Given this URL/page, automatically test 500 questions and tell me whether that page was used/cited in the answer”

I'd favor DemandSphere or MentionsAPI because their APIs expose the actual response and cited URLs, rather than just giving you an aggregate visibility score.

For example, your automation could effectively do:

For each target page:
    For each target prompt:
        query AI engines
        capture response
        extract cited URLs
        determine:
            page cited? yes/no
            domain mentioned? yes/no
            position in answer
            competitor cited?
            citation context
    store results
    compare over time

This is generally called AI visibility monitoring, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization). developer.meltwater.com

If you're building this into your own product rather than buying a dashboard, I'd start by comparing DemandSphere vs. MentionsAPI. I can also compare their API pricing, supported models, rate limits, accuracy, and whether they actually test the consumer ChatGPT/Gemini interfaces versus calling the underlying model APIs—that last distinction is particularly important.

Yes. If your goal is programmatically checking whether your pages/URLs are being surfaced or cited in AI-generated answers, there are now dedicated AI visibility / AEO (Answer Engine Optimization) platforms with APIs.

The strongest matches I found:

• urlDemandSphere LLM Visibility APIturn0search2 — probably the closest fit to your description. Its REST API exposes mentions, citations, full AI responses, source URLs, citation position, prompts, and platform across ChatGPT, Perplexity, Gemini, and Copilot. It explicitly supports programmatic access and webhooks.
• urlMeltwater AI Visibility APIturn0search3 — measures how brands are surfaced, cited, and recommended across ChatGPT, Gemini, Perplexity, and Copilot. More enterprise/marketing-oriented.
• urlGetMentionedturn0search4 — tracks fixed prompts across major LLMs, stores the actual responses, measures mentions/ranking, and recently introduced an API.
• urlSurva.aiturn0search8 — tracks visibility across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews.

One important distinction

If by "whether our pages appear" you mean specific URLs being cited, rather than simply whether your company/brand is mentioned, I'd prioritize DemandSphere. Its API specifically has a citations endpoint returning the URL, citation position, surrounding context, triggering prompt, and AI platform. www.demandsphere.com

The underlying architecture generally looks like:

prompt → AI/search API → generated answer → extract citations/URLs → match against your domain → store visibility over time

There isn't a universal API from OpenAI/Google/Anthropic that simply says "here are all the times this website appeared in consumer AI answers." Vendors generally create that measurement by repeatedly running controlled prompts against the relevant AI systems and recording the responses/citations. This is important because AI answers are nondeterministic. www.reddit.com

If you're building this into an internal system, I can also compare the available APIs on price, supported AI engines, whether they return raw answers, URL-level citation data, API/webhook support, and whether you can submit your own prompt set.

Yes. If your goal is programmatically checking whether your own URLs/pages are cited or mentioned in AI assistant answers, there are now several platforms that expose this as an API rather than just a dashboard.

Best fit: DemandSphere

DemandSphere LLM API offers a dedicated LLM Visibility API with REST/JSON endpoints. It can return:

• Mentions of your brand across ChatGPT, Perplexity, Gemini, and Copilot
• Citations of specific URLs in AI responses
• The citation position and surrounding context
• The prompt that triggered the citation
• Full AI response data
• Competitor mentions
• Webhooks for programmatic monitoring

Their /v5/llm/citations endpoint is particularly close to what you're describing. www.demandsphere.com

Other options

One important distinction: there isn't generally an API from ChatGPT/Claude/etc. that tells you "your page was cited by users X times." These visibility platforms normally maintain a set of prompts, repeatedly run those prompts against the relevant AI/search APIs, and inspect the resulting answers and citations. Because AI answers are nondeterministic, the result is a sampled visibility measurement rather than an exact count of all user interactions. arxiv.org

If you're building this into your own application/SEO monitoring system, I'd look at DemandSphere first, especially because its API exposes the underlying response and citation data rather than only giving you a proprietary visibility score.

If you tell me whether you need (a) an off-the-shelf API, (b) an API you can feed a list of URLs + prompts into, or (c) something you can self-host, I can narrow this down to the 2–3 best choices and compare pricing/API capabilities.

Yes. If you mean an API you can call programmatically to test prompts and determine whether your URLs/brand appear or are cited in AI answers, there are several platforms now doing this.

Best fits

1. DemandSphere LLM API — probably the closest match to what you described. Its API exposes mentions, citations, and full AI responses across ChatGPT, Perplexity, Gemini, and Copilot. You can retrieve the cited URL, citation position/context, triggering prompt, and AI platform. www.demandsphere.com

DemandSphere LLM API

2. ReddGrow AEO API — specifically designed for programmatic AEO/GEO monitoring. It provides REST access to raw AI answers, normalized citations, visibility scores, sentiment, and brand position across ChatGPT, Gemini, Perplexity, and Google AI Overviews. docs.reddgrow.ai

ReddGrow AEO API documentation

3. Bourd — offers an API/MCP on its plans and tracks mentions, citations, and share of voice across a broader set including ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, Meta AI, and Google's AI surfaces. bourd.dev

Bourd

One important distinction

If your requirement is specifically:

"Given a list of URLs and 500 prompts, automatically run those prompts against AI assistants and tell me whether each page was mentioned/cited in the resulting answer."

I'd prioritize DemandSphere or ReddGrow because their APIs expose the underlying response/citation data rather than just giving you an aggregate "AI visibility score." DemandSphere, in particular, documents separate endpoints for mentions, citations, and full responses. www.demandsphere.com

Also, don't assume an AI-visibility API is equivalent to a universal "Search Console for AI." AI responses are nondeterministic, and different runs of the same prompt can produce different citations, so a serious monitoring system should run prompts repeatedly and retain the raw responses. arxiv.org

If you tell me which assistants you need to monitor (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, etc.) and whether you need the actual cited URL or just brand/page presence, I can narrow this down to the best 2–3 APIs and compare pricing, coverage, API access, and accuracy.

Yes. If by “appear in AI assistant answers” you mean programmatically checking whether your brand/domain/pages are mentioned or cited when people ask relevant prompts, there are several platforms built specifically for this.

Best fits

OtterlyAI is probably the one you're looking for. Its API explicitly exposes prompt-level results, brand mentions, and—particularly relevant to your question—which URLs/domains are cited by each AI engine. API access is available on its Standard, Premium, and Custom plans. help.otterly.ai

OtterlyAI API documentation

One important caveat: “API” can mean two different things here. OtterlyAI says its monitoring system actually interacts with AI platforms' public web interfaces rather than relying solely on model APIs, because API responses can differ from what users see in the consumer AI interface. help.otterly.ai That's potentially important if your goal is “does my page actually appear in the answer a user sees?” rather than merely “does an LLM API know about my page?”

Peec also has an API, currently limited to Enterprise customers, and exposes the data from its platform programmatically. docs.peec.ai

Peec AI API docs

For your use case

If you're building something like:

Every morning, run 500 questions → check ChatGPT/Gemini/Perplexity/etc. → determine whether example.com/page-x was cited → store result → alert us when citation visibility changes

I'd start by evaluating OtterlyAI vs. Peec, with particular attention to whether their API gives you the raw answer + cited URLs, rather than just an aggregated visibility score.

If you tell me whether you need raw AI responses/citations, specific page-level tracking, or just brand visibility, I can narrow this down to the best API and compare pricing/limits.

Yes. A growing category of vendors provides APIs specifically for tracking AI search / AI assistant visibility—whether your pages are cited or mentioned in answers from ChatGPT, Gemini, Claude, Perplexity, Copilot, and similar systems.

The main options are:

These platforms generally expose APIs that let you:

• Submit a set of prompts (or keywords).
• Execute those prompts against multiple AI assistants.
• Record whether your domain is:
  • mentioned,
  • cited,
  • linked,
  • or omitted.
• Track rankings and visibility

Yes. A growing category of "AI visibility" platforms provides APIs specifically for automating checks of whether your pages or brand appear in AI assistant responses. They generally run prompts across assistants on a schedule and expose results via REST APIs.

Some of the more API-focused options include:

There are two distinct approaches these platforms take:

• API-based querying: They submit prompts through official model APIs (OpenAI, Anthropic, Gemini, etc.) and analyze the responses. This is reliable for automation but may not exactly match what users see in consumer chat interfaces.
• Interface monitoring: Some services automate or scrape the actual ChatGPT, Gemini, or Perplexity web interfaces. This tends to better reflect real user experiences but is more operationally fragile because UI changes can break the automation. Community discussions frequently point out that API and consumer UI responses can differ. www.reddit.com

If your goal is specifically:

• "Is page X cited?" — choose a platform that exposes citation/source URLs (DemandSphere, Meltwater, LLM Pulse).
• "Does our brand appear?" — almost all of them support mention tracking.
• "Can I build my own dashboard?" — all of the platforms above expose REST APIs suitable for scheduled jobs and BI integrations.

If you're considering building this yourself, you can also orchestrate calls to the major model APIs (OpenAI, Anthropic, Google, Perplexity), run your prompt set daily, and compare the responses for your domains or brand names. This gives you full control, though you'll need to handle prompt management, normalization, rate limits, and result storage yourself. One limitation is that API responses won't always match the assistants' consumer interfaces, so many teams supplement automated API checks with periodic manual validation. www.reddit.com

If you're looking for an API that can automatically test prompts across AI assistants and determine whether your pages or brand appear in the answers, there are a handful of platforms built for that purpose.

Here's how they compare:

If you want to build your own monitoring

The strongest fit is Pendium.

Their API lets you:

• submit scans for a brand or domain
• run predefined prompts
• retrieve the full report
• inspect each model's raw response
• see whether your site was cited
• compare visibility across platforms
• integrate the results into dashboards or CI pipelines

Their report endpoint exposes platform-by-platform scores, citations, recommendations, and the underlying responses. pendium.ai

If you specifically want raw LLM responses

AgentGEO exposes an API that returns:

• ChatGPT answer
• Perplexity answer
• Gemini answer
• Google AI Overviews
• Copilot
• cited sources
• response text as JSON

That makes it straightforward to run scheduled jobs like:

1. Every morning
2. Ask 100 prompts
3. Parse the responses
4. Check whether your domain appears
5. Store the results in your own database
6. Alert when visibility drops

agentgeo.orgpendium.ai

If you're building an in-house system

Many teams don't use a dedicated platform. Instead they:

• maintain a library of prompts relevant to their business
• call AI APIs (or search-enabled AI APIs where available)
• detect mentions of their brand or URLs
• record cited domains
• compute metrics such as:
  • appearance rate
  • average ranking in recommendations
  • citation frequency
  • share of voice versus competitors

This approach offers the most flexibility, though API-based measurements may not always exactly match what users see in consumer chat interfaces because retrieval behavior and UI can differ. www.techradar.com

If your goal is enterprise-grade monitoring with an API, I'd look first at Pendium and AgentGEO. If your goal is improving how AI assistants understand and cite your site, platforms like Appear or Ansvisor are aimed more at optimization than measurement. pendium.ai

If your goal is to programmatically check whether your pages or brand appear in AI assistant answers, there are two broad approaches:

1. Use the AI providers' own APIs (OpenAI, Anthropic, Google, Perplexity, etc.) and run your own prompts.
2. Use a specialized AI visibility platform that automates prompt generation, scoring, competitor tracking, and reporting.

Here's how the landscape looks:

If what you want is "Does my page appear when someone asks 'best CRM for accountants?'", the dedicated visibility platforms are generally a better fit than raw LLM APIs because they:

• run hundreds or thousands of prompts on a schedule
• track mention rates over time
• compare you with competitors
• record citations
• aggregate results across ChatGPT, Gemini, Claude, Perplexity, and others where possible. www.ansvisor.com

One important caveat: API results are not always the same as what users see in AI assistants. Consumer products may use different models, retrieval systems, ranking, personalization, and web search than their public APIs. Several practitioners and recent research have found measurable differences between API-only measurements and user-facing AI answers. arxiv.org

If you're building your own monitoring system

A common architecture is:

• Store your target prompts.
• Run them daily against multiple providers' APIs.
• Parse responses for:
  • brand mentions
  • page URLs
  • citations
  • ranking/position
  • sentiment
• Save results in a database.
• Compare day-over-day changes and alert on significant shifts.

This is the approach many commercial AI visibility tools automate, adding prompt generation, competitor discovery, dashboards, and historical analytics. www.ansvisor.com

If you're looking for an API-first product (rather than a dashboard), Pendium is one of the few platforms that publicly documents a visibility API. If you're comfortable building the analytics yourself, using the OpenAI, Anthropic, Gemini, and Perplexity APIs directly gives you the most flexibility.

If your goal is to programmatically check whether your pages or brand appear in AI assistant answers, there are a handful of platforms that expose APIs. They vary quite a bit in maturity.

Here's a quick comparison:

These platforms generally let you:

• Submit a list of prompts to monitor.
• Schedule recurring checks.
• See whether your domain or brand was mentioned.
• Retrieve citation URLs.
• Measure share of voice versus competitors.
• Export results through an API.

Most also normalize results across multiple assistants, which is difficult to do yourself because each assistant behaves differently. developer.meltwater.com

If you want to build your own

A lot of teams instead automate directly against AI model APIs:

• OpenAI Responses API
• Anthropic Messages API
• Google Gemini API
• Perplexity Sonar API

They periodically ask a fixed set of prompts, then parse the responses looking for:

• your domain
• your brand
• competitors
• cited URLs
• ranking/order of recommendations

This gives complete control, but you have to manage prompt versioning, retries, model changes, geographic variation, and reporting yourself. Industry guidance increasingly recommends repeated measurements over time rather than relying on a single run because responses can vary. developer.meltwater.comwww.techradar.com

For engineering teams

If you're looking for an API-first product rather than an enterprise dashboard, the strongest options today are:

1. urlFogliftturn0search4 — developer-oriented, includes REST API, CLI, and GitHub Actions.
2. urlLLM Pulseturn0search2 — clean API focused on visibility analytics.
3. urlTrustable Labsturn0search1 — comprehensive enterprise REST API.

If your use case is monitoring thousands of URLs or integrating into an existing SEO platform, I'd lean toward an API-first visibility platform. If you only need a few hundred prompts per day and are comfortable building infrastructure, using the individual model APIs is usually more flexible and less expensive.