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B2B · Marketing · For AEO and demand gen teams · Also for B2C companies This agent reads your AEO results, from an AEO tool export or from Rippit asking ChatGPT, Claude and Gemini your buyers’ questions, and finds the prompts where AI recommends competitors before you. It works out why, from the sources AI cites to the answers your content doesn’t give, then drafts the follow-up content to close each gap.

What it reads

AEO results from an AEO tool export or a Rippit agent search table, including prompts, AI answers and cited sources. Web search research tables add the cited pages and competitors’ sites. Your site, knowledge base and anything else come in through an integration, the Bulk API or a CSV.

How it works

  1. Ingest. Every AI answer your buyers see.
  2. Analyze. Why a competitor gets named instead of you.
  3. Act. The content that changes the answer, drafted.

What you get

Follow-up content drafted to close each gap.
  • AI search summary (AEO and demand gen, in Slack): 86 prompts you trail on, led by Competitor A on 34.
  • Follow-up content (Notion or Google Docs): Top five pieces to create today, led by a comparison page. 12 drafts ready for review.
  • Any tool you connect through MCP: Hand the drafts to any tool you connect through MCP, or brief the team on the prompts that moved.

Build it

Tell Rippit chat to “set up a check of our AEO results that finds where AI recommends competitors first, with follow-up content drafted,” or ask your own AI assistant with Rippit connected. Rippit drafts it as a pipeline, tests it on a sample, and puts it live when you confirm. You can change what it reads, how it scores, who it notifies, and how often it runs at any time.

Questions

No. A Rippit agent search research table can ask ChatGPT, Claude and Gemini your buyers’ questions and record the answers and citations. If you have an AEO tool, upload its results instead. Either way, it works out why competitors get recommended first and drafts the follow-ups.
It compares the AI answers and the sources they cite with what your site and docs say on the same topic, like a missing comparison, fewer reviews, unclear pricing or content AI can’t find.
Comparison pages, FAQs, page updates and other content written to answer the questions buyers ask AI, with the sources behind each recommendation.
The summary goes to Slack, email or any tool you connect through MCP, and drafts go to Notion or Google Docs. It runs daily by default, or hourly or weekly if you prefer.