How Clay Wins AI Search

A 34-page teardown of the pages, mentions and prompts that put Clay inside AI answers before buyers reach Google.

PDF and Figma board
6 AI platforms studied
1,240 prompts tracked
Published 15 Sep 2026

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What the deep dive covers

Slate tracked Clay across 6 AI platforms for 90 days, then read every page the answers cited. Here is what came out of it.

34%
Share of enrichment answers naming Clay
1,240
Buying-intent prompts

tracked
812
Third-party pages cited
alongside Clay
7
Page templates carrying
most citations

The prompt map

Every question buyers ask on the way to a tool like Clay, and who owns each answer today.

The citation engine

The 812 pages AI platforms pull from, sorted by how much visibility each one earns.

Templates that scale

How Clay's template library became an answer surface for thousands of long-tail prompts.

Community and review mentions

Reddit, G2 and agency posts, plus the seeding pattern behind them.

Where Clay loses

The prompts competitors take, and the gap that opens the door for a challenger.

The 90-day version for your team

A build order for teams with one writer and no extra headcount.

Get the deep dive

Slate emails the PDF and the Figma board. Nothing downloads from this page.

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One email with the report. Opt in inside it for the next six.

case studies

Proof that agentic content drives growth

Frequently Asked Questions

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What format does it come in?

A 34-page PDF plus a Figma board with the prompt map, so your team can comment on it instead of rebuilding it.

Does it cost anything?

No. Slate publishes one deep dive per company in the series, free, in exchange for an email.

Where does the data come from?

Slate's AI search tracker samples 6 platforms daily. Every cited page in the study was then reviewed by hand.

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Ramp, Rippling, HubSpot, Zapier, Notion and Shopify. Reply to the delivery email to suggest a different one.

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