A few weeks ago I built a scanner that checks if an AI agent can read a website the way a person can. I ran it against my own three sites first, before I ever pointed it at a client’s. All three came back with a perfect score. That gave me a real answer to a question I had been circling for a while: what does an AI tool look at before it decides to recommend a business?
The short version. It is not one thing. It is a handful of specific, checkable signals, and most small business sites have never been reviewed against any of them.
Three Terms Worth Knowing
The industry has started using three overlapping terms for this. None of them are complicated once you strip out the jargon.
Generative ranking optimization is the broadest one. It is about becoming a source an AI trusts enough to mention by name across ChatGPT, Claude, Perplexity, and Google’s own tools. It leans on clear entity information (what your business is, what it does, who it serves) and credibility signals.
Answer engine optimization is narrower. It is about being the one answer an AI gives to a specific question, the kind of thing voice assistants and chat tools return when there is only room for one result. It rewards short, direct answers written near the top of a page instead of buried in the third paragraph.
Search generative experience is Google’s own version, the AI summary panel that now sits above regular search results. It leans heavily on structured, scannable content and how well a page answers not just the main question but the follow-up questions too.
Different names, same underlying shift. AI systems are not just crawling and ranking pages anymore. They are reading them, summarizing them, and deciding who to mention. If your site is not built for that, you get skipped, even if you show up fine in a normal Google search.
What I Found When I Scanned My Own Sites
I did not want to tell a client something I had not checked on myself first. So the scanner I built looks at the same things researchers point to as the strongest signals: does the site have a clear heading structure, does it use structured data like FAQPage schema, does it publish a spec-compliant llms.txt file, and does its robots.txt file let AI search bots in.
Gagne Marketing, Tech Assist For Seniors, and Sean Gagne dot com all came back with a perfect score. That did not happen by accident. My main site was missing a proper page landmark and had no llms.txt file at all when I first ran the scan. I fixed both. FAQPage schema was already there, which the research points to as one of the strongest predictors of getting cited directly by an AI answer.
What This Means For Your Business
Most small business sites in Bradenton, Lakewood Ranch, and Sarasota County have never been checked against any of this. Not because the owners are behind. Because none of it existed as a standard practice until very recently, and most of the guidance out there is written for national brands with marketing teams, not a solo landscaper or a local boutique.
The starting point is not GRO or AEO or SGE as concepts. It is a much more basic question: can an AI agent get into your site and read it clearly at all. That is a separate, earlier step from ranking or recommendation, and I cover it directly in AI agent readiness for Bradenton businesses.
If you want to see where your own site stands, that is exactly the kind of conversation I have during a free clarity call. I will show you what I would show myself, using the same scan I ran on my own sites.