ChatGPT answers, unedited

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.