Know When AI Mentions Your Brand
Track brand mentions across 6 LLM providers. Get position, sentiment, and competitors in structured JSON.
One API covers ChatGPT, Claude, Perplexity, Gemini, Grok, and Copilot. Ordered mentions, 4-dimensional sentiment, cited sources.
Extract structured brand mentions from AI responses
Ordered mentions, position rankings, multi-dimensional sentiment, competitor discovery, and cited sources. All via REST API.
- Ordered brand mentions & position ranking - see every brand mentioned in each AI response, ranked by the order they appear.
- 4-dimensional sentiment analysis - trustworthiness, authority, recommendation strength, and fit for query intent.
- Competitor discovery & cited sources - automatically discover competitors and see which URLs the AI cites.
Use cases for LLM mention tracking
- Brand monitoring - track when and how AI engines mention your brand across ChatGPT, Claude, Perplexity, Gemini, Grok, and Copilot.
- Competitor intelligence - discover which competitors appear alongside your brand, their rank positions, and sentiment scores.
- Content optimization - identify which cited sources drive AI mentions. Optimize content to improve brand positioning.
- GEO tracking - measure Generative Engine Optimization progress over time across runs.
What you get in every API response
- brandsMentioned - ordered array of every brand the AI mentioned, with name, 1-indexed position, and 4-dimensional sentiment.
- position - 1-indexed rank showing where the brand appears in the AI response.
- brandSentiment - trustworthiness, authority, recommendation_strength, and fit_for_query_intent scores (0 to 1).
- cited_sources - URLs and domains the AI cited in its response.
- response_text - the full text of the AI response for context around each brand mention.
What you can track via the API
- All major AI engines - ChatGPT, Perplexity, Gemini, Claude, Grok & Microsoft Copilot. One API key, every platform.
- Ordered brand mentions - every brand mentioned in the AI response, in the exact order they appear.
- Position ranking (1-indexed) - know exactly where your brand ranks in each AI response.
- 4-dimensional sentiment - trustworthiness, authority, recommendation strength, and fit for query intent.
- Competitor discovery - automatically find every competitor the AI mentions alongside your brand.
- Cited URLs & domains - see which sources the AI cites and what content drives recommendations.
- Full response text - access the complete AI response for context around each mention.
Pricing
Less than 1 cent per prompt. Define the prompts you want to track, select your providers, and pay only for what you use. No minimum commitments. Start with a free account to test the API.
Key endpoints
- GET /v1/analysis/runs - list analysis runs
- GET /v1/analysis/runs/{runId}/summary - share of voice, coverage, sentiment
- GET /v1/analysis/runs/{runId}/summary/prompts - per-prompt KPI breakdown
- GET /v1/analysis/trends - historical KPI trends
- POST /v1/analysis/trigger - trigger a manual analysis run
- GET /v1/prompts - list and manage prompts
- POST /v1/prompts/batch - batch create, update, delete prompts
Frequently Asked Questions
- What data does the LLM Mentions API return?
- The API returns an ordered list of brand mentions with 1-indexed positions, 4-dimensional sentiment scores (trustworthiness, authority, recommendation_strength, fit_for_query_intent), cited URLs and domains, and the full response text. All data is structured JSON.
- Which AI platforms are covered?
- The API tracks brand mentions across ChatGPT, Claude, Perplexity, Gemini, Grok, and Microsoft Copilot. One API key covers all six providers with a consistent data format.
- How is brand position determined?
- Position is based on the order in which the AI mentions each brand in its response. The first brand mentioned gets position 1, the second gets position 2, and so on.
- What are the four sentiment dimensions?
- Each brand mention includes scores for trustworthiness, authority, recommendation_strength, and fit_for_query_intent. Scores range from 0 to 1.
- How much does the API cost?
- Less than 1 cent per prompt. You define the prompts you want to track, and each prompt is analyzed across your selected providers. Volume pricing is available for high-frequency monitoring.