How ChatGPT, Claude, Perplexity, and Google AI describe and recommend brands — how to measure it, why it goes wrong, and what actually changes it. Each cluster below opens with its pillar article.
The competitive cohort, the SEO/AI divergence, factual accuracy, and the evidence a page never states to machines.
When an assistant names a competitor instead of you, five evidence gaps are worth checking first — entity clarity, reviews, citations, third-party mentions, and citable pages. A diagnostic hypothesis set, not a claim about how the model decides.
12 min read
A polished local business website can still be hard for AI to understand. This teardown shows why missing schema, crawlable facts, review proof, and agent-ready contact paths cost recommendations.
11 min read
Page-one SEO rankings do not always turn into AI recommendations. This guide shows the topic-level gaps, source proof, and fix queue behind that visibility split.
8 min read
The businesses appearing beside you in Google may differ from the brands AI recommends. Learn how to measure the overlap and track influence sources separately.
11 min read
AI can name your business yet get its services, location, hours, or identity wrong. Use a documented evidence-repair workflow to investigate errors and re-measure accuracy.
7 min read