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APIEndpoint 18 of 40AI Optimization / Mentions / LLM Tracking

AI Mentions API

Brand monitoring used to mean scanning tweets and blog posts.

In 2026 the surfaces that matter are ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. When users ask these systems 'best plumber in Austin,' you either get mentioned or you don't. The dashboard era never built tools for this — AI mentions is a new category that requires a new shape of API. Your agent checks where your brand surfaces in LLM responses across four major platforms, sees the exact question and answer context, captures citations, and flags sentiment — all in one call.

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POST /v1/ai/mentions · 5 credits / call

POST /v1/ai/mentions4 of 27
Cross-platform mentions
ChatGPTcited 12× / week

ABC Plumbing is highly rated in Austin with 4.8 stars and excellent same-day service.

Google AI Overview1 of 3 cited

Top-rated Austin plumbers include ABC Plumbing for emergency service.

Claudecited 8× / week

For licensed plumbers in Austin, ABC Plumbing has strong reviews.

Perplexitycited 5× / week

ABC Plumbing — 24/7 emergency response, 500+ reviews.

▌ Ask your agent

These prompts are the new brand-monitoring workflow.

Connect Local SEO Data as an MCP server once (60 seconds, below). Then your agent tracks mentions for you. Replace bracketed keywords with your own.

Weekly brand mention audit

Check if [mycompany.com] is mentioned in ChatGPT and Claude responses for our top 10 commercial queries. Show me the exact questions and how we're positioned relative to competitors.

Competitor mention comparison

Pull AI mentions for [mycompany.com] vs [competitor1.com] and [competitor2.com] for [industry keyword]. Which brand gets mentioned most often? Which gets more positive framing?

Citation source tracking

Run mentions for [mycompany.com] across ChatGPT, Claude, Gemini, and Perplexity. Extract every URL cited alongside our name. These are high-authority sites the LLMs trust — target them for link building.

Mention growth tracking

Pull mentions for [brand name] across all four LLMs every week. Track whether we're showing up more often in responses, whether the sentiment is improving, and which LLM surfaces us most.

▌ Real response

What you get back

Live response from POST /v1/ai/mentions for 'best plumber Austin' across ChatGPT and Claude.

response · application/json~5s · 5 credits
{
  "status": "success",
  "credits_used": 5,
  "data": {
    "keyword": "best plumber Austin",
    "location": "Austin, Texas",
    "ai_search_volume": 1400,
    "total_mentions": 6,
    "mentions": [
      {
        "platform": "chat_gpt",
        "question": "Who is the best plumber in Austin?",
        "answer_snippet": "Some highly rated plumbers in Austin include ABC Plumbing (4.9 stars, 2,100+ reviews), ProFlow Services (4.8 stars), and Denver Pro Plumbing...",
        "sources_cited": [
          "https://yelp.com/biz/abc-plumbing-austin",
          "https://homeadvisor.com/rated.aspx?...",
          "https://abc-plumbing.com"
        ],
        "sentiment": "positive",
        "mention_type": "direct_citation",
        "date": "2026-02-18"
      },
      {
        "platform": "claude",
        "question": "What are the most reliable plumbers near me in Austin TX?",
        "answer_snippet": "For Austin area plumbing, ABC Plumbing is well-regarded with 4.9 stars. They specialize in emergency repairs and new installations...",
        "sources_cited": [
          "https://yelp.com/biz/abc-plumbing-austin",
          "https://maps.google.com/...",
          "https://abc-plumbing.com"
        ],
        "sentiment": "positive",
        "mention_type": "direct_citation",
        "date": "2026-02-17"
      },
      {
        "platform": "gemini",
        "question": "best emergency plumber Austin",
        "answer_snippet": "Popular options for emergency plumbing in Austin include [list of services]...",
        "sources_cited": [
          "https://homeadvisor.com/...",
          "https://maps.google.com/..."
        ],
        "sentiment": "neutral",
        "mention_type": "not_mentioned",
        "date": "2026-02-18"
      }
    ]
  }
}
▌ Returns

Granular mention data for every LLM platform

Per-mention context

Question, answer, sentiment, and date

Not just 'mentioned' or 'not mentioned' — we capture the exact question a user asked, the LLM's full answer, whether the mention was positive/neutral/competitive, and when it occurred. This is the raw data underneath brand sentiment tracking.

Citation tracking

URLs cited alongside your mention

When an LLM mentions your domain, we capture every other URL cited in that response. These are the high-authority sites LLMs trust in your industry — direct link-building targets.

Mention type classification

Direct citation, comparison, not mentioned, context

Is your brand mentioned directly or only in context? Are you compared favorably to competitors or unfavorably? Our classification surfaces the framing, not just the fact of mention.

Multi-LLM breakdown

ChatGPT, Claude, Gemini, Perplexity separately

See which LLMs mention you most often. Each has different training data and ranking behavior — you may dominate in Claude but barely appear in Gemini. Track each separately.

▌ Built for

What AI-native operators ship with this

Brand presence audits

Before a sales call, pull mentions for your prospect's brand and their competitors across ChatGPT and Claude. Walk in knowing exactly which LLMs recommend them and which don't. The diagnosis is quantified, not anecdotal.

→ For consultants

Weekly brand-health monitoring

Agencies run a scheduled agent check every Monday for all client brands across top 20 commercial keywords. Flag drops in mention count, new competitor appearances, or sentiment shifts. Escalate only the moves that matter.

→ For agencies

Link-building research

Extract every URL cited alongside your mentions in ChatGPT and Claude. These sites rank high for your keywords in LLM eyes — they're your link-building whitelist. Pair with [AI Top Sources API](/ai-top-sources-api) for authority prioritization.

→ AI Top Sources API

Sentiment and positioning tracking

Monitor whether your brand is mentioned positively ('great for X'), neutrally ('one option'), or negatively ('avoid because Y'). Track competitor framing over time. Know if your reputation is improving or deteriorating in LLM worldviews.

→ Reputation Audit API
▌ vs. the alternatives

Why not use Profound, AthenaHQ, or traditional brand monitoring?

Traditional tools (Mention.com, Brand24) scan tweets and news articles — surfaces that don't drive revenue anymore. Enterprise AI monitoring (Profound, AthenaHQ) charge $500+/mo and focus on dashboards. For teams building agent workflows or need to call this 50+ times per month, API pricing eliminates the subscription trap. Here's how the options stack up.

ApproachCost per callLLMs trackedMention detailAgent-ready
Manual checking (ChatGPT, Claude individually)$0 but ~10 min labor per keywordWhatever you check manuallyYou see the full responseNo
Mention.com (legacy brand monitoring)$99–499/mo (~$3.30–16.60 per query)Tweets, blogs, news (not LLMs)Simple mention countDashboard only
Brand24$79–299/mo (~$2.60–10 per query)Web, social, news (not LLMs)Sentiment + volumeDashboard UI
Profound (enterprise)$499–2000+/mo (~$16–65 per query)10+ platforms including LLMsQuestion, answer, sourcesDashboard, no MCP
AthenaHQ$300–1000/mo (~$10–33 per query)ChatGPT, Claude, Gemini, PerplexityQuestion, answer, sentimentDashboard + limited API
Otterly.ai$29–99/mo (~$0.97–3.30 per query)4 LLMs + Google AIQuestion + answer snippetReporting UI
Peec AI$99–299/mo (~$3.30–10 per query)4 platformsBasic mention + positionManual export
Local SEO Data AI Mentions API$0.025 per callChatGPT, Claude, Gemini, PerplexityQuestion, answer, sources, sentimentNative MCP, agent-first
▌ Connect in 60 seconds

Use it from your agent

Two integration surfaces: MCP for clients that speak MCP, REST API for everything else.

Direct MCP integration

Drop-in support in Claude Desktop, OpenClaw, Hermes Agent, and any MCP-aware client.

Add to your client's MCP config (e.g. claude_desktop_config.json):

{
  "mcpServers": {
    "localseodata": {
      "url": "https://mcp.localseodata.com",
      "headers": {
        "Authorization": "Bearer sk_live_..."
      }
    }
  }
}

REST API

For Perplexity Computer, ChatGPT Custom GPTs, custom agents, and any platform that calls REST endpoints directly.

Base URL:

api.localseodata.com

See the docs for endpoint reference and auth.

▌ Quickstart

Your first call in three lines

Core parameters: `keyword` (the brand name or search query to track) and optional `location` (e.g. 'Austin, TX', defaults to United States). You can specify which platforms to query — default is both ChatGPT and Google (Gemini/AI Overview). The `limit` parameter caps results per keyword (default 10, max 100). One call = 5 credits.

terminal · curl
POST /v1/ai/mentions
curl -X POST https://api.localseodata.com/v1/ai/mentions \
  -H "Authorization: Bearer sk_live_..." \
  -H "Content-Type: application/json" \
  -d '{
    "keyword": "best plumber Austin",
    "location": "Austin, Texas",
    "platforms": ["chat_gpt", "claude", "gemini", "perplexity"],
    "limit": 20
  }'
Full endpoint reference → · Get an API key →
▌ Pricing for this endpoint

$0.025 per mention call

Pay-as-you-go starts at $5. No monthly minimums. No per-seat licenses. No subscription required. Funds never expire.

Free tier
50
credits on signup (10 calls)
Starter · $5
200
credits, no expiration
Per-call cost
$0.025
per mention query
▌ FAQ

Common questions

What is the AI Mentions API?+
A REST endpoint that returns every instance of your brand (or keyword) appearing in ChatGPT, Claude, Gemini, Perplexity, and Google AI Overview responses. For each mention, you get the exact question a user asked, the AI's full answer snippet, the URLs cited, sentiment classification (positive, neutral, or competitive), and the date. The endpoint is POST /v1/ai/mentions; one call costs 5 credits (~$0.025). This is the data layer underneath brand presence tracking, sentiment analysis, and link-building research.
How is AI Mentions different from AI Visibility?+
AI Visibility (POST /v1/ai/visibility) is a composite score: total mentions + impressions + aggregated sentiment across platforms into one number (0–100). It tells you 'your domain has strong visibility in ChatGPT but weak visibility in Claude.' AI Mentions is the granular sibling: every individual mention, every question, every citation. AI Mentions answers 'Show me every response where we're mentioned' and 'What exactly did the AI say about us.' AI Visibility answers 'How visible are we overall.' Both are useful — Visibility for dashboards and trend tracking, Mentions for detailed research and sentiment analysis. Many teams query both: Visibility for weekly snapshots, Mentions for deep dives on specific keywords.
Which LLMs do you track?+
ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), Perplexity (Perplexity AI), and Google AI Overviews. These are the major conversational AI surfaces driving real traffic in 2026. Each has distinct training data and ranking behavior — the same keyword may surface you prominently in Claude but not in Gemini. You can query all five in one call or filter to specific platforms. If you need coverage beyond these five (Grok, DeepSeek, Copilot), let us know.
What data does the API return for each mention?+
For every mention, you get: (1) Question — the exact query users asked the AI, (2) Answer snippet — the full AI-generated response containing your mention, (3) Sources cited — all URLs the AI cited in that response (these are high-authority link targets), (4) Platform — which LLM (ChatGPT, Claude, etc.), (5) Sentiment — positive/neutral/competitive framing, (6) Mention type — direct citation, comparison, or not mentioned, (7) Date — when we detected the mention. This granularity is what separates this API from traditional brand monitoring tools.
Where does this mention data come from?+
We operate first-party collection infrastructure — our agents run your keywords directly against ChatGPT API, Claude API, Gemini API, Perplexity API, and Google AI Overviews. We execute the queries, capture the responses, parse them for your mention and co-cited URLs, classify sentiment, and return structured JSON. We do not rely on cached or third-party data — each call executes fresh against the live LLM. This is why you see the exact question, answer, and date. Data is fresh at call time, not hours old.
How fresh is the mention data?+
Each API call executes your keywords live against ChatGPT, Claude, Gemini, and Perplexity, so mentions reflect current LLM training and behavior. LLM responses can vary between calls (different samples, rephrasing), so we execute multiple times per keyword to stabilize the signal. Results are available within 5–10 seconds of the API call. For trend tracking, most operators call daily or weekly at a fixed time to build a clean time-series of when mentions appeared.
Can I track mentions for my competitors?+
Yes. The API accepts any keyword or business name — yours, your competitors', or generic market keywords. There's no ownership verification. This is what makes competitor brand tracking work: pull mentions for your top 3 competitors on your core commercial keywords, see which ones dominate in LLM responses, and understand the competitive narrative in AI eyes.
How does this compare to Profound, AthenaHQ, Otterly, and Peec AI?+
Profound ($499–$2000/mo), AthenaHQ ($300–$1000/mo), Otterly ($29–$99/mo), and Peec AI ($99–$299/mo) all offer dashboards that track LLM mentions. Profound is enterprise-focused with high pricing; AthenaHQ is mid-market; Otterly and Peec are budget options. All are designed for humans logging in and reading reports. Our API is designed for agents — your Claude prompt calls this endpoint, gets JSON, and acts on it without a dashboard. Pricing-wise: Profound costs $16–65 per query annualized; AthenaHQ costs $10–33; Otterly costs $0.97–3.30; we charge $0.025 per call. If you're building agent workflows or need to monitor 100+ keywords per month, API pricing wins. If you want a CEO dashboard, those tools are better suited.
Can my AI agent use this directly?+
Yes, and this is what we built for. Two integration paths: MCP: add Local SEO Data to your claude_desktop_config.json and your Claude agent calls this endpoint from any prompt. REST: any agent that can make HTTPS calls (ChatGPT Custom GPTs, Perplexity Computer, custom Python/Node agents) hits the API directly with your Bearer token. The agent receives structured JSON and can filter, alert, or act on it. No integration code needed — just write the prompt.
What does it cost compared to competitors?+
We charge $0.025 per mention call (tracks one keyword across selected LLMs). Profound costs $499–$2000/mo (~$16–65 per query annualized). AthenaHQ costs $300–$1000/mo (~$10–33 per query). Otterly costs $29–$99/mo (~$0.97–3.30 per query). Peec AI costs $99–$299/mo. If you run 100 mention checks per month, we cost $2.50 total; Profound costs $500+. If you run 10 checks per month, we cost $0.25; Profound still costs $500. Pay-per-call eliminates the monthly minimum that subscription tools impose.
What changed in 2026 that made AI mentions tracking necessary?+
Three things: ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews are now mainstream search surfaces. When users ask these systems questions, you either get mentioned or you don't. Getting mentioned is part of how you drive qualified traffic. Second, LLM responses are different from Google's 10 blue links. LLMs synthesize answers, cite sources, and compare options — understanding *how* you're mentioned (positively, neutrally, competitively) and *who else* is cited alongside you is critical for brand positioning. Third, MCP (Model Context Protocol) became standard, making it practical for agents to call specialized APIs without custom integration. The dashboard era was built for humans. The agent era needs APIs that return structured mention data. AI Mentions is a 2026 native category because brand presence in LLM responses is now a real traffic surface and agents need the raw data to act on it.
How does this relate to traditional brand monitoring like Mention.com or Brand24?+
Mention.com and Brand24 scan social media, news articles, forums, and blogs for brand mentions. That was critical in 2020. In 2026, those surfaces still matter for reputation management, but the most valuable brand mentions now happen in LLM responses. When someone asks ChatGPT 'best plumber Austin' and your company appears in the answer, that's where real traffic and business comes from. Traditional tools don't monitor LLMs because they were built for the social-media era. This API is the 2026 equivalent: it monitors the surfaces where people actually ask questions.
▌ Related endpoints

Often used in the same agent prompt

POST /v1/ai/visibility
AI Visibility

Composite score: total mentions, impressions, and sentiment across LLMs.

POST /v1/ai/top-sources
AI Top Sources

Which domains LLMs cite most for your keywords. Link-building targets.

POST /v1/ai/overview
AI Overview

Check if Google's AI Overview cites your domain for specific queries.

POST /v1/ai/compare
AI Compare

Compare your brand vs competitors on AI visibility and mentions.

Track brand presence across LLMs the moment it happens.

50 free credits on signup. Your first mention query happens through your agent, not a dashboard.

Start FreeRead the docs
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