Two GEO experiments challenge conventional AI visibility advice

Much of the current advice around generative engine optimization ( GEO ) is based on theory, isolated screenshots, or a single campaign. I wanted measurable results, so I ran two structured experiments back to back, tracked the results manually, and documented what worked, what failed, and what changed between the two tests. The first experiment, for an existing brand we consulted on, cost thousands of dollars and ran over several months. The second was a 30-day cold-start experiment a SaaS link building agency with no measurable AI presence when the test began. Each test tracked 15 commercial-intent keywords. The first covered four AI…

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