botify-hq/botify
Your work is moving into AI tools. Your Botify data should move with it. Botify MCP connects the AI assistants you already use — ChatGPT, Claude, and your own — straight to Botify, so anyone on your team can get answers and get work done without opening the platform.
Call Botify MCP tools correctly, and fan a tool out with batch_run so lists of URLs or rows never enter the conversation. Use whenever the user is on the Botify MCP, asks to run a tool on many URLs, pages or rows, mentions batch_run, batch_status, batch_sample, batch_cancel, or wants to keep I/O out of the LLM. Also use as soon as there are more than about ten items to process.
Query Botify's data warehouse (crawl, logs, Search Console, AI visibility) through the Botify MCP tables_* tools using BigQuery Standard SQL, and turn the results into SEO and GEO (Generative Engine Optimization) analyses. Use this skill whenever the user asks for an SEO audit, a GEO/AI-bot audit, crawl budget analysis, log file analysis, Googlebot or GPTBot behavior, Search Console trends, AI visibility / citation analysis, or any question that requires querying Botify project data — even if they don't mention SQL or the tables tools explicitly. Also use it when the user mentions tables_query, tables_schema, tables_list, the "catalog." prefix, or Botify log tables.