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I ran the 2019 checklist and the 2026 additions on the same page and kept a ledger. The honest split, what the extra steps actually buy, and where they can't help.
One operating guide for Google's three search surfaces: how B2B SaaS sites win organic, AI Overviews, and AI Mode by mapping each to the buyer journey.
Follow the institutions instead of the discourse: what Google's guidance, job postings, tool suites, and team structures say about where GEO is actually landing.
Moving from an order-based services marketplace to a weekly pipeline: what you keep (everything delivered), what to export, and who the switch is for.
Google answered this one directly, twice, in writing. The full record of what they said, the four-part reasoning underneath it, and what actually moves citations.
Security buying is skeptical, peer-driven, and trust-gated, and AI assistants entered the evaluation anyway. The six plays that work in this vertical.
The hands-on version: where the logs live, the exact pipelines to run, how to verify bots against published IP ranges, and the seven-question worksheet.
Harvesting questions is the easy half. The funnel that tests candidates against real assistants, filters for winnability, and outputs a tracked query set.
The generative AI report finally shows where you appear in AI Overviews and AI Mode. How impressions actually count, the five tracks worth watching, and what it can't see.
Notion is two destinations wearing one name: a public site and a content hub. How to publish AI-optimized articles into both without losing the optimization.
Zapier isn't a destination, it's the router: three ways to feed it from an AI content pipeline, the fan-out recipes worth building, and the failure modes to design around.
Titles stopped being just click bait: engines use them to retrieve, to answer, and to judge congruence. The mechanisms, the formulas, and the audit.
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