Long-form playbooks on the parts of AI visibility that are genuinely hard. Written to be worked through, not skimmed.
Each guide covers one problem properly rather than surveying everything shallowly. They'll include the diagnostic steps, the fixes, and the situations where the advice doesn't apply.
How to test what GPTBot, ClaudeBot, and PerplexityBot actually receive from your site, per user agent.
Coming soonThe four structural tests a page has to pass to be extractable, with before-and-after examples.
Coming soonMaking your brand resolvable: schema, verified profiles, and disambiguation from similar names.
Coming soonWhich schema types matter, how to validate them, and how to stop them going stale.
Coming soonIdentifying which sources actually get retrieved for your category, and how to earn a mention there.
Coming soonDesigning a prompt set, handling variance, and reporting honestly on noisy data.
Coming soonMost AI SEO guides restate the same general advice. We'd rather write fewer pieces that include the actual commands, the actual markup, and the specific conditions under which the advice fails.
Each guide will state who it's for and who it isn't. Advice that works for a 40-page SaaS site frequently doesn't work for a 40,000-SKU catalog, and pretending otherwise wastes your time.
We'll benchmark your brand against the questions your category actually gets asked, and show you who's being cited instead of you.
No commitment · 45 minutes · Immediate value