Aditya builds MentionPop and documents evidence-first methods for measuring how brands appear in AI-generated recommendations and Google answer surfaces.
AEO/GEO trackers all promise to show whether AI recommends you. Here is an honest breakdown of the real tools, what they cost, which engines they cover, and who each one actually fits — including where MentionPop is not the answer.
Original data: AI answer engines have near-fixed 'default' picks per category, but a volatile middle — and household names like Salesforce and LastPass show up far less than you'd expect.
AI Overviews synthesize answers above traditional results. This guide explains what you can observe, how citations appear, and how Studio sampling fits a broader GEO program.
We tested n=4 AI crawlers against live robots.txt and public crawler-control files. All were allowed with HTTP 200—technical access only, not indexing or recommendation proof.
ChatGPT SEO is not traditional rank tracking. It is the combination of entity clarity, citable pages, crawler access, and evidence from provider-sampled assistant runs.
SEO and GEO share crawl and entity foundations, but they optimize for different surfaces and require different proof. Here is a practical side-by-side for 2026 teams.
AEO focuses on earning presence inside direct answers—featured snippets, AI Overviews, and assistant responses—using evidence you can audit rather than vanity visibility scores.
GEO is the discipline of making your brand legible to generative answer systems and measuring whether sampled AI responses actually mention or cite you—not guessing from rankings alone.
AI visibility is observed presence in generative answers: whether a brand is named, whether your URLs are cited, and how those signals change week over week under fixed sampling.
By Aditya KumarRead guide ↗
MentionPop field notes
One useful AI visibility lesson. No manufactured urgency.
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