How AI engines pick which brands they cite.

Plain-English explanations of how AI answer engines surface, cite, and recommend brands. Written from the audits we’ve actually run — not the white papers we’d write if we hadn’t. No jargon, no hype, no paywalls.

Stylized illustration of an AI control panel
Cornerstone reads Start here
Go deeper 7 more
10

Google says you don’t need to optimize for AI. We agree — about three of the four things they listed.

Google’s June 15, 2026 AI optimization guide rejects llms.txt, special schema, content chunking, and AI-specific writing. After hundreds of audits, three of those mythbusters check out. One doesn’t.

Strategic 8 min
04

The fall of blue links and the rise of GEO.

Zero-click search hit 60%. Gartner forecasts a 25% drop in classical search volume by 2026 — why the discipline shifted from ranks to citations.

Foundational 7 min
05

What the 2024 Google API leak actually told us.

14,014 attributes across 2,596 modules. siteAuthority is real. NavBoost tracks click quality. Topical cohesion matters.

Technical 8 min
06

Relevance Engineering: the discipline replacing classical SEO.

Mike King’s framing: the unit of work moves from the page to the passage. Vector retrieval, BM25 fusion, and the role 95% of SEO software cannot serve.

Strategic 8 min
07

How AI Mode actually works: fan-out, dense retrieval, pairwise ranking.

Six Google patents read together describe one architecture: one query becomes nine, passages embed as vectors, a language model picks winners pairwise.

Technical 9 min
08

Technical foundations: the five pillars that decide retrievability.

Site information architecture, entity mapping with JSON-LD @graph, crawlability, rendering strategy, performance — the bar before content competes.

Technical 8 min
09

GEO measurement frameworks: the metrics that actually matter.

iPullRank named the Measurement Chasm. The eight primitives that fill it — with 95% confidence intervals on every dimension.

Strategic 9 min
Want a real audit?

The guide explains the method. The audit applies it.

100–300 buying-intent prompts run across ChatGPT, Gemini, Perplexity, and Claude. Every claim scored with 95% confidence intervals. Every gap traced to a root cause.