yao-chatgpt-crawler
Use when a user provides ChatGPT web AI-search keywords, repeat count, target entity, entity type, OpenCLI profile, and crawl interval preference, then needs repeated crawls aggregated into JSON plus a Kami HTML GEO report. Not for generic crawling, ChatGPT API chat, SEO writing, or one-off answers.
Works with
--- name: yao-chatgpt-crawler description: Use when a user provides ChatGPT web AI-search keywords, repeat count, target entity, entity type, OpenCLI profile, and crawl interval preference, then needs repeated crawls aggregated into JSON plus a Kami HTML GEO report. Not for generic crawling, ChatGPT API chat, SEO writing, or one-off answers. license: MIT --- # Yao ChatGPT Crawler ## Inputs Questions, repeat count, target entity/type (`person/company/product`), browser profile, delay preset, optional output directory, and same-type competitors. Use random `30s-1m` by default; support `1-3m` and `3-10m` when requested. ## Workflow 1. Read `references/user-setup-and-usage.md`, `references/chatgpt-crawl-workflow.md`, and `references/report-contract.md` as needed. 2. Run `node scripts/preflight.mjs --profile <profile>` before fresh crawling. 3. Stage 1: run `scripts/chatgpt_batch_crawl.mjs` with questions, repeat, profile, target entity/type, interval preset, and output dir. 4. Stage 2: run `scripts/analyze_chatgpt_results.py`. Follow the competitor-review rules in the workflow reference; a target-only alias file never disables inference. 5. Return crawl JSON, summary, structured Markdown/Excel, HTML report, optional semantic-review cache, and failed logs. ## Honest Boundaries - Reuses local ChatGPT web automation; does not bypass login, bot checks, or hidden data. - Visible ChatGPT citations bound source analysis; probability metrics are repeated-sample estimates. - Inferred competitors are heuristic. Review aliases before external use; use `--semantic-review required` when formal-report confidence demands it. - The entity table is an audit surface; only rows entering the competitor matrix affect metrics. - Preserve raw answers, reference titles, URLs, and logs so every conclusion can be audited.
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