25 years in digital marketing taught Evan Weber how search shifts happen. Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) are the current one — the concrete, technical playbook for getting your content cited by AI answer engines instead of buried under a summary. Evan trains your team live using this exact site as the worked example.
AEO (Answer Engine Optimization) structures content to be extracted as a direct answer — featured snippets, voice search. GEO (Generative Engine Optimization) goes further: getting cited or summarized by generative AI — LLMs like ChatGPT, Claude, and Perplexity, plus Google AI Overviews. When someone asks an AI a question today, they usually get a synthesized answer with a couple of cited sources instead of ten ranked links. This training is about being one of those sources.
FAQPage, Service, and Article schema (schema.org) that mirrors your visible content exactly — mismatched structured data gets ignored, not rewarded.
robots.txt rules that explicitly allow GPTBot, ClaudeBot, PerplexityBot, and Google-Extended, plus an llms.txt file AI systems can read directly.
A plain, quotable answer up top, explicit Q&A formatting, and clear author attribution — the format both featured snippets and LLMs prefer to cite.
A glossary and content hub that cross-links into your core pages, so your domain reads as a real source on the subject, not one lucky page.
Tailored to your site and stack. Here's what's typically covered:
Review your top pages for missing direct answers, weak headings, and content that's too buried to extract or cite.
Add correct FAQPage, Service, and Article schema (JSON-LD) that matches your visible content exactly.
Write your llms.txt file and audit robots.txt so GPTBot, ClaudeBot, PerplexityBot, and Google-Extended can actually reach your content.
Rewrite key pages and FAQs into the quotable, self-contained format answer engines prefer to lift and cite.
Track when AI answer engines send you traffic and how to tell if your content is actually being cited.
Set up an agentic workflow so ongoing audits, schema drafts, and crawlability checks run in minutes, not a weekly chore.
Any business whose customers now ask AI before they search.
I built AEOImprovement.com to audit your site's citability across ChatGPT, Claude, Gemini, and Perplexity. You get a 6-dimension AEO score, live prompt simulations, and evidence-backed fixes you can ship today.
Traditional SEO optimizes to rank a page in a list of links. AEO (Answer Engine Optimization) optimizes content to be extracted as a direct answer — featured snippets, voice search. GEO (Generative Engine Optimization) optimizes to be cited or summarized by generative AI like ChatGPT, Claude, and Perplexity. They build on the same technical foundation, and this training covers all three together.
It helps but isn't required. Most of the work — content structure, direct-answer formatting, FAQ content — doesn't need code. The structured data and llms.txt setup goes faster with someone who can edit your site, but Evan will show your team exactly what to hand off if that's not you.
A general SEO audit focuses on rankings and backlinks. This session is specifically about whether AI systems can find, parse, and cite your content correctly — schema validity, AI crawler access, direct-answer structure, and llms.txt. It's a narrower, more technical slice of SEO that most audits still skip.
Yes, for full execution — content strategy, technical SEO, and paid media alongside it — that's the work Evan's agency, Experience Advertising, does for clients directly. This site's training sessions are focused on getting your team fluent enough to run the playbook themselves, with Claude Cowork doing the repetitive parts.