Monitor AI brand visibility and citations
A comprehensive report on how AI engines like ChatGPT and Gemini present your brand, including citation rates, mention frequency, and competitor comparisons across specific markets and languages.
How it works
The agent uses the AnswerLine MCP server to query AI engines for specific buyer-intent or brand-related prompts. It collects the resulting AI answers, analyzing which brands are named (mentions) versus cited as sources. The agent compares these results against historical data or competitor benchmarks to identify volatility or shifts in visibility. Before acting, the user should verify the prompt set covers relevant keywords and markets, and ensure the correct engines (e.g., ChatGPT, Gemini) are selected for the desired insight.
Prompt
Paste this into an agent that has the servers below connected. Adjust the names and dates to your own.
Query the AnswerLine MCP server for the following prompts: ['best project management software', 'top CRM tools']. Run these queries against ChatGPT and Gemini. Analyze the results to determine if our brand is mentioned or cited. Compare the findings with our competitor 'CompetitorX'. Provide a summary of visibility scores and any significant changes in citation sources.MCP servers it needs
Source
The vendor page this playbook is drawn from, and the passage that supports it.
We asked three AI engines 182 buyer-intent prompts across 10 software categories. In five categories the engines name a different leader; the October 2026 data.AI visibility & SERP API blog · AnswerLine