GUIDES
In-depth guides to building traffic from Google and AI search.
AI Mode became the global default and Gemini started reorganizing the results page itself. The verified timeline, the click math, and the SaaS playbook that survives both.
No engine requires it, Google's Search team says skip it, and Chrome's Lighthouse now audits it anyway. The full answer, plus the list of what actually is mandatory.
The self-hosted AI search stack, explained layer by layer: Vane (the renamed Perplexica) for answers, SearXNG for retrieval, Ollama for models, and what it means for your visibility.
Buyers now commission a cited research report on your category in minutes. How report synthesis picks its sources, and the content moves that survive it.
The translation chain from feature to job to problem language to query, five article shapes per feature, and how to write them so search engines and AI answers pick you.
Most AI visits arrive unlabeled. The four-layer recovery method: referrer catching, server-side signals, dark-traffic fingerprints, and honest calibration.
A field guide for the SEO manager whose boss just asked about AI: what transfers, what's new, the first 30 days, and the report that ends the panic.
The pillar guide to AI SEO: what it is past the acronym soup, the five-part program, the citations-vs-clicks reality check, and the 90-day rollout.
The two-system answer: model memory vs live search, the retrieval path, the third-party pages that actually decide recommendations, and how to move each signal.
One entity, many locations: the naming rule, when multiple GBPs are legitimate, the NAP playbook, and why entity clarity now feeds AI answers too.
One shared core, seven engine accents: the per-engine optimization guide for SaaS content teams, with source diets, quirks, and a priority matrix.
Migrations break AI visibility differently than SEO: zombie citations, entity resets, crawler blocks on new stacks. The before-during-after checklist.
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