Writing on AI search, from people who do the work.
No regurgitated explainers, no "ultimate guides" that don't say anything. These guides explain website readiness, measurement methods, and practical implementation. Claims should be evaluated against their linked sources and stated limitations.
Compare Reffed, Scrunch, AthenaHQ, Profound, Peec AI, and OtterlyAI by what they actually measure, what is free, and whether you need website readiness or live prompt monitoring.
AI search visibility is not one thing. It is four — technical readiness, brand authority, content authority, community signal — weighted differently by every engine. The framework that explains why a Reffed score of 60 and frequent ChatGPT mentions can coexist, plus the ten-minute diagnostic for picking which pillar to work next.
"Add schema markup" has been the default GEO advice since 2023. Three years in, the structured-data theory hasn't held up against observed citation patterns. What schema actually does, what it doesn't, and what the same effort would buy you elsewhere — ordered by observed impact.
AI engine citations aren't deterministic. The four mechanical reasons citations move day-to-day: query fan-out variance, recency bias, competitor authority shifts, and index updates. Plus the diagnostic flowchart for each one.
A day-by-day playbook for founders who want a structured month of AI-search readiness work without hiring an agency. Each step has a concrete exit criterion.
A practical diagnostic for checking Bingbot access, crawl signals, response problems, and common robots.txt mistakes, with fixes for each failure mode.
The four-stage retrieval-augmented generation pipeline that runs every time you ask ChatGPT, Claude, or Perplexity a question. What happens at each stage, where most sites get filtered out, and the five technical realities most SEO advice still ignores in 2026.
An explanation of query fan-out and why one user question can become multiple retrieval steps. Includes a practical content-audit framework and links to supporting research.
The definitive explainer. What GEO is, why it became urgent between 2024 and 2026, the five signals that matter most, and what to do in your first month.
Eight specific reasons your site isn't being cited by ChatGPT, in order of how often each one is the culprit. Each comes with the exact fix and how to verify it worked.
Five quick tests, no signup required, that tell you whether AI assistants can actually crawl, parse, and cite your site. Most owners discover at least one broken signal in under 15 minutes.
The exact robots.txt configuration that lets GPTBot, ClaudeBot, PerplexityBot, and the other AI crawlers index and cite your content. Copy-paste ready, with the bots most owners accidentally block.
Local businesses are uniquely exposed to AI search disruption. The exact fixes — LocalBusiness schema, geographic anchoring, review signals — ranked by impact for service businesses.
A clear, no-jargon explanation of the five signals AI assistants actually use to pick which websites to cite. Demystifies the black box behind AI recommendations.
Seven common reasons a business may be difficult to surface in AI-assisted discovery, with a diagnostic sequence for separating website-readiness gaps from authority and retrieval factors.
The complete playbook organized in three layers: technical foundations, content patterns, and authority signals. Includes the 30-day starter sequence for businesses doing this without an agency.
A focused guide to the structured-data types most relevant to clear business and page identity, with deployment guidance and limits on what schema can prove.
A practical setup guide for Bing Webmaster Tools and its AI-related reporting, plus how to interpret those signals alongside Reffed's website-readiness evidence.
The hype crowd says yes immediately. The skeptics say no, it's a fad. Both are wrong. A calibrated view on when AI search optimization actually matters for your business.