GEO Inspector
Turning AI search anxiety into a measurable readiness score.
GEO Inspector is a browser extension that scans a webpage and creates an AI visibility report for Generative Engine Optimization. It checks whether a page is easy for systems like ChatGPT, Gemini, Claude, Perplexity, Copilot, and AI-powered search to understand, cite, and recommend.
01 · The question
Search was becoming an answer layer.
SEO could tell me whether a page might rank. It could not tell me whether an AI system could understand, trust, and cite it.
One vague concern became a product question.
02 · The evidence
Ranking was only part of the story.
Research showed that generative search discovers and cites sources differently. I translated that shift into three signals I could design around.
03 · The response
Make the invisible visible on the page itself.
I chose a Chrome extension so the audit could happen at the moment of doubt, without copying a URL into another dashboard.
Open page → scan locally → surface the next best action.
04 · The model
Six checks became one readable score.
The score is a heuristic readiness model, not a claim about an AI platform's ranking algorithm.
Machine understanding carries 60% of the score. Discovery and trust add 30%. Emerging GEO techniques stay at 10%, so speculation can never outweigh the fundamentals.
60% understanding · 30% discovery & trust · 10% emerging GEO
05 · The result
A working audit, from score to action.
In three days, the product bet became a local-first Chrome extension with a clear path through overview, issues, opportunities, entities, and schema.




What I learned
The score was the doorway. Clarity was the product.
The useful moment was not receiving a number. It was seeing why the number changed and knowing what to do next. That is the idea I would carry into historical scans, before-and-after guidance, and team reporting.
Explore the build