AI optimization case studies

Evidence beforeempty promises.

These case studies document the technical failures, content changes, and visibility signals behind real AI and search outcomes. The useful part is not the headline result. It is the mechanism that produced it.

What changed, what broke, what worked

Migration recovery

Traffic collapsed after leaving Lovable

A Firebase migration replaced ranked URLs with 404s, broad redirects, and conflicting canonicals. This breakdown shows how the loss appeared in Search Console and what recovery requires.

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Citation growth

Six months of AI visibility work

A practical look at which changes produced citation signals for a B2B client and which popular tactics did not move the result.

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Technical audit

What an OpenClaw audit found

A client-site audit connecting crawlability, page structure, machine-readable signals, and the fixes most likely to improve visibility.

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Authority ownership

Building authority on platforms you do not own

Why strong third-party content can fail to strengthen the main website, and how to reconnect distributed expertise to the owned domain.

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Measurement

Track visibility every week

A measurement framework for separating rankings, citations, crawl signals, branded demand, and actual business outcomes.

See what to track

Your site

Start with the failure mechanism

If traffic, indexing, or citations changed, the first job is to find the exact layer that broke before producing more content.

Request the free mini audit