AI visibility in Clay

Clay thinks in tables — a row per company, a column per fact. AI visibility fits that shape perfectly: for every brand in your table, what does ChatGPT say about it, and who gets cited when a buyer asks the category question? AgentGEO answers that per row, through Clay's HTTP API enrichment. It's a distinctly go-to-market read on GEO data: agencies use it to find prospects who are invisible in AI answers (and pitch them exactly that), competitive teams use it to grid a whole category. No AgentGEO-branded Clay integration exists — the HTTP API column and one REST endpoint are the entire, honest story.

Each enriched row returns the engine's verbatim answerText plus structured sources[] — so downstream columns can extract "was the company mentioned", "was its domain cited", or "which competitors appear" with Clay's own formulas and AI columns doing the parsing.

Connect AgentGEO to Clay

Add an HTTP API enrichment column: method POST, endpoint https://api.agentgeo.org/v1/fetches, an Authorization: Bearer ag_live_... header, and a body that merges your row fields into the query:

{
  "query": "best {{category}} tools",
  "surfaces": ["chatgpt"]
}

Keep it to one surface per column — a row-level enrichment should return in seconds where possible, and the API can hold a slow multi-surface call up to 180 seconds. Want Perplexity too? Add a second column with "surfaces": ["perplexity"]; Clay runs them independently, and each delivered record costs one credit (failed records cost zero). Map response fields into follow-up columns — answers[0].answerText for the text, answers[0].sources for citations.

Tables worth building

• Prospect qualifier for GEO services. Rows = target accounts; columns = whether each is mentioned in ChatGPT and Perplexity for its category query. The "no" rows are your pitch list, with the receipts attached.
• Category share-of-voice grid. Rows = the queries buyers actually ask; columns = one engine each. Formulas mark which competitors' domains appear in sources[] — a visibility matrix you own.
• Competitor citation sources. Extract the domains each engine cites for your category and enrich those — the publications worth pitching are the ones the engines already trust.
• Account-research snippets. A column of "what does ChatGPT say about {{company}}" verbatim answers, feeding outreach personalization that quotes the machine.

More integrations

Table-shaped elsewhere too: Airtable and Google Sheets run the same contract on a cadence. For workflow-shaped monitoring, start with n8n. See all integrations.