Generative engine optimization means building your website so AI assistants like ChatGPT and Claude can read, understand, and quote it. It involves writing clear answers to specific questions people ask, adding structured data that labels your content, and making sure search engines and AI bots can crawl your site. I treat it as part of the same job as search ranking, not a separate problem, because the same article that ranks in Google often gets cited in AI answers.
Most business owners think of AI assistants like ChatGPT as a distraction from search. They are not. They are search traffic. And if your website is not built for AI to read, you do not show up in it. When someone asks an AI assistant where to hire someone or buy something, the assistant searches the web, summarizes what it finds, and quotes the result. That traffic is real. It flows through a different path than Google Search, but it is people looking for what you do. The difference is in how you have to build your site.
AI assistants are now a search channel
I used to think of SEO and what I call AEO, or answer engine optimization, as two separate jobs. SEO was about ranking in Google. AEO was about being quoted by ChatGPT and Claude. They seemed to use different tools, different thinking, and different metrics.
That changed when I worked on BabyJunctions. I wrote long-tail articles that each answered one specific question a parent asks. The articles ranked in Google Search. Then I started noticing that the same articles were being cited in AI answers. That is when I realized the two are not separate. The same article that ranks well for a narrow question is exactly the kind of content AI assistants want to quote. One piece of work serves both channels at once.
What it actually means to make a site readable to AI
When I say a site is readable to AI, I mean three concrete things are true.
- Your content answers specific questions people ask, not broad topics or marketing copy. Think 'How do I know if my child is ready to potty train' or 'What should a dental claim include', not 'Why choose us'. The kind of question someone types into ChatGPT.
- Your site has structured data, which is HTML that tells AI what each page is. A schema markup says 'this is an article', 'this person wrote it', 'this is a clinic with these hours at this address'. When Claude or Gemini crawls your site, that structure helps it understand what it is reading.
- Your site is crawlable. Content locked behind a login, in PDFs that are not indexed, or hidden in JavaScript that does not render on first load, stays invisible to search engines and AI both. Your site has to be readable to a bot that cannot click or scroll the way a human does.
How I think about generative engine optimization
For BabyJunctions, long-tail articles moved search traffic. That was not new. But what changed was that those same articles became the ones AI assistants quoted. BabyJunctions has been cited in AI answers, and that only happened because the articles were written clearly for one specific question and because the technical side was set up right.
That is why I stopped treating search optimization and answer engine optimization as separate projects. An article written to rank for one exact question and to be useful in AI citations is built the same way. You do not write one version for Google and a different one for Claude. You write once, for the reader and for the machines that summarize what you wrote, and both channels benefit.
What to check on your own site
If you want your site to show up when AI assistants answer questions about your business, start by checking three things.
Does each page answer one specific question clearly?
Read your important pages the way ChatGPT would. Does the answer appear in the first paragraph? Or does the page list features, talk about your team, and bury the answer somewhere in the middle? AI assistants will quote the direct answer, not the sales copy. If your page is written for marketing, move the useful information up.
Is your technical structure correct and accurate?
Do your pages have titles, headings, and descriptions that tell a search engine what they are about? If you use schema markup or have someone build it for you, does it stay accurate as your site changes? I have seen schema drift away from page content as sites get updated, and when it does, AI assistants get confused about what the page says. The markup has to match.
Is your site crawlable?
Can a bot that does not run JavaScript read your whole site? Does it see your important content, or does it hit a login wall? This is not usually complex, but a lot of sites built on templates prioritize visual design over machine readability. Most issues are easy to fix if you look.
Why this matters right now
AI assistants are still figuring out how to rank sources and which ones to trust. Right now, if your site is readable and well structured, you have a real chance of being cited. That is different from search ranking, where some topics are locked by big players. In AI answers there is more room for specific, well-built sites to show up.
It also means you do not have to choose between two strategies. Work on an AI-ready website that answers real questions and is structured for machines, and you serve both search engines and AI assistants with the same content.
The gap between knowing and doing
The owners and operators I talk to understand this already. They know that AI is not a distraction from search. It is search. But knowing is not doing. Most sites are still built for humans only, with no thought for how an AI reads them. If your site is that way, every time an AI assistant answers a question in your industry, you are not in it. That is the real cost.
