AI search visibility

People now ask ChatGPT, Claude, Gemini, Perplexity, and Google's AI Overviews and AI Mode before they ever click a link. I help those systems, and traditional search engines, understand and represent your business accurately.

SEO, AEO, and GEO

SEO is search engine optimization. AEO, answer engine optimization, shapes content so it directly answers the questions people ask. GEO, generative engine optimization, makes your business easy for AI systems to find, understand, and cite. All three rest on the same foundation: crawlable pages, clear answers, consistent facts, accurate structured data, and a site that loads fast. The guide to how AI assistants decide what to say explains the mechanics.

AI search readiness audit

I test a set of real prompts across the major assistants, the questions your buyers actually ask, and record what each one says about you, your products, and your competitors. Then I trace where those answers come from: your own pages, review sites, directories, news, forums, and the search indexes the assistants draw on.

You get:

• A record of the prompts, the answers, and the sources cited, so you can repeat the test later and measure change.
• The errors, omissions, and outdated facts, ranked by how much they matter.
• The technical blockers: content hidden behind JavaScript, crawlers blocked in robots rules, missing or wrong structured data.
• A prioritized plan for the pages, facts, and sources you control.

Content that answers the question

I write and improve service pages, landing pages, FAQs, glossaries, titles, and descriptions, and I publish them properly in your CMS. A service page plainly explains what you do, how it helps, and why your approach makes sense. An explanatory article answers its question completely, with the definitions and context an AI needs to quote it accurately. Self-contained pages like these are the ones answer engines cite.

Machine-readable you

For founders, experts, and brands: consistent facts across your site and the profiles AI systems read, schema.org structured data that ties them together, and a body of self-contained pages that describes you accurately. I've practiced this on myself for more than two decades by publishing my own work in the open.

Technical foundations

• Important text present in the HTML your server sends, because most AI crawlers don't run JavaScript.
• Deliberate robots rules for AI crawlers such as GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, and Google-Extended.
• An llms.txt file and Markdown versions of key pages for language models.
• Fast indexing through XML sitemaps and IndexNow, which notifies Bing and other engines of changes within minutes.

Measurement

AI answers vary by phrasing, location, and time, so I measure with a fixed prompt set run on a schedule, plus referral traffic from AI assistants in analytics. I report trends and specific corrections, and I'm candid about what the data can and can't show.

This site follows its own advice: static HTML, structured data on every page, an llms.txt file, Markdown versions of every page, and a full-text llms-full.txt.

Ask me what the AI assistants say about you

Updated October 5, 2026