Writing on AI search, from people who do the work.
No regurgitated explainers, no "ultimate guides" that don't say anything. These are the playbooks and frameworks we use on real customer sites — and that we're happy for competitors to read.
ChatGPT runs on Bing's index — 87% of ChatGPT citations match pages ranking in Bing's top results. Microsoft launched the AI Performance dashboard in February 2026, the only first-party citation analytics tool that exists. The 4-minute setup plus how to read every metric.
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.
A real case study from a 32-seat Park Slope new-American restaurant. Reffed score 38 → 84 in four months, $612 total cost, ~25 hours of owner time. Direct Resy reservations +18%, Google reservation clicks +47%, AI-referrer sessions doubled. Plus what would have failed in tourist-heavy markets.
A real case study from a $4,000-per-wedding Portland photographer. Reffed score 41 → 78 in 90 days, three monthly content sprints, $356 total cost, and the inquiries it produced. Plus what would have failed in a different niche.
Original research on 50 B2B SaaS pricing pages tested against ChatGPT and Perplexity citation outcomes. The one structural element that correlated with citation 4x more reliably than any other signal. Plus the worst-performing pricing-page mistake we found.
"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.
An honest comparison of Otterly AI, Bing Webmaster Tools AI Performance, and Reffed for tracking how AI engines cite your brand. Why I downgraded after three months, and the trade-offs of each approach.
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 need to ship AI search visibility work themselves. Six hours per week, four weeks, no agency required. Every step has an exit criterion. Built from running this exact sequence with seventeen solo founders since February 2026.
Bingbot powers ChatGPT's web search and Microsoft Copilot. About 30% of sites we audit have either Bingbot blocks, broken response codes, or no recent crawl activity. The 6-step diagnostic with exact 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.
AI engines decompose user questions into 3-7 sub-queries and search each one separately. Understanding this is the biggest mental-model shift between traditional SEO and 2026 GEO. Includes the 90-minute fan-out content audit and Princeton GEO research benchmarks.
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.
We audited GitHub, Stripe, Linear, Anthropic, and Tally. The highest score: 82. The lowest: 60. Here's the prioritized playbook SaaS founders can steal from each.
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.
We ran every major modern SaaS company through our audit. Even Stripe is missing FAQ schema. Linear has 32,545 words and zero structured data. Here's exactly what each is missing and why it matters.
The seven specific reasons AI engines aren't surfacing your business — and the exact fix for each. Work through them in order and most businesses see citation share improve in 30–60 days.
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 prioritized list of the twelve specific signals that determine whether AI engines cite your site. Field-tested from running Reffed on hundreds of customer sites.
Schema.org has 800+ types. You need maybe a dozen. Here's the focused list of JSON-LD blocks that consistently move AI citation share, with deployment guidance.
An honest review of free GEO audit tools. Yes, Reffed is one of them. We've tried to be fair about where competitors do specific things better than we do.
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.