LLM Monitoring API

Track brand mentions, sentiment, and competitive visibility across ChatGPT, Claude, Perplexity, and other AI engines.

Structured data. Scheduled runs. Push results into your dashboards, alerts, and data pipelines.

One API to monitor brand presence across LLM ecosystems

Standardize monitoring across providers, compare competitors, and push reliable AI visibility data into your product and reporting layers.

• Provider-level mention monitoring - measure visibility across ChatGPT, Claude, Perplexity, and other tracked engines via API.
• Structured monitoring output - access consistent run, prompt, and sentiment data for custom analytics and automations.
• Actionable optimization signals - spot opportunities where better content and citations can increase AI recommendation share.

LLM monitoring vs. traditional SEO tracking

AI-generated answers work differently from search engine result pages. Traditional SEO tools track Google rankings. LLM monitoring tracks how AI models like ChatGPT and Claude recommend, mention, and position your brand when users ask questions. These are fundamentally different signals that require different tooling.

Monitor everything, build on top of it

Every metric in the Sellm dashboard is available through the API. Build custom reporting, power alerts when visibility changes, or feed monitoring data into your data warehouse.

What you can monitor via the API

• All major AI engines - ChatGPT, Perplexity, Gemini, Claude, Grok & Microsoft Copilot. One API key, every platform.
• Brand mention detection - know when and where AI mentions your brand across every tracked provider.
• Share of voice & coverage - monitor your brand's share of voice and coverage rate per run.
• Sentiment analysis - measure how positively or negatively AI platforms describe your brand.
• Competitor benchmarking - compare visibility, position, and mention frequency against configured competitors.
• Scheduled & on-demand runs - trigger analysis runs programmatically or rely on automated weekly schedules.
• Historical trends - query time-series KPI data to track visibility over time.

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 is an LLM monitoring API?

An LLM monitoring API gives you structured, programmatic access to how AI models describe, mention, and recommend your brand. Instead of manually reviewing AI responses, you pull normalized data into your existing tools.

Which LLMs are supported?

ChatGPT, Claude, Perplexity, Gemini, Grok, and Microsoft Copilot. Each platform has different ranking patterns, and the API normalizes this data into a consistent format.

How is this different from Google rank tracking?

Google rank tracking monitors where your site appears in search results. LLM monitoring tracks how AI models position and recommend your brand in natural language responses. The signals, methodology, and optimization strategies are fundamentally different.

Can I use it for competitive monitoring?

Yes. You configure competitors in your project, and the API returns their visibility metrics alongside yours for every prompt and provider.