Teardown No. 02 · SEO

How Sunny Patel runs SEO as an agent loop that grades its own predictions

Sunny Patel lets an AI agent run his site's SEO as a loop. Each cycle reads Search Console, makes one change, logs a prediction, and scores the result 7 to 14 days later. The full log is public.

Sunny PatelVerified Oct 13, 2026Markdown copy

The problem

A consultant’s own site gets the least attention. He wanted changes made and measured without doing each one by hand.

The blueprint

  1. The agent reads his Google Search Console data through the API.
  2. It forms one hypothesis, edits the site and logs a prediction.
  3. It returns 7 to 14 days later and scores itself.
  4. Iteration 1 (7 July): title and meta rewrites on five striking-distance pages. One logged prediction: Reading-page CTR from 0.35% to at least 5% within 14 days.
  5. Iteration 3 (10 July): the agent replaced a generic checklist download on two top posts with a two-card offer, a £495 fixed-fee audit plus a free Website Grader, with event tracking.
  6. Iteration 4 was a conversion sprint he directed. The log flags it as three changes at once, so attribution is page-level only.
  7. Every claim is checkable on his public /proof/ page.

Stated results

Only the starting figures above. He writes that he “will not claim wins I have not measured.” Outcomes: Unverified · pending.

Caveats

  • X handle Unverified (no X link found on his site).

Sources

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