What does an AI agent do for GEO?
An AI agent such as Hermes takes over the checking work page by page. It reads the live HTML the way a crawler sees it, goes through the signals in the table and notes what is missing in each passage.
The agent then proposes specific changes: a definition sentence at the top, a short answer under a question heading, a source for a loose figure or a better description in llms.txt. After a change, the agent checks whether the JSON-LD is still valid and whether the FAQ markup still matches the visible FAQ.
If your CMS is connected, the agent also makes the changes. How such a connection works and which permissions you agree on is covered in SEO with an AI agent. That article is about the Search Console side: pulling search data and deciding page by page what needs to change. GEO adds a second check: can an AI search engine read and cite the page?
At Voltti, we have the agent run a GEO check on each page as well, next to the regular SEO audit. After those checks, several articles on this site got a definition in the first sentence, question headings with a short answer below them and verbatim quotes from their sources. One example is our article on SEO with an AI agent: the heading "Publishing directly in your CMS" became "Can the agent publish directly in your CMS?", with a one-sentence answer right below it: "Yes, if your CMS can be connected through an MCP server, and only within the permissions you agree on." The agent makes those changes in our CMS; we review the work and adjust where needed. Whether AI search engines name us more often as a result, we have not measured.
Can you measure AI visibility?
Partly. Google counts visits from AI Overviews and AI Mode in the regular Search Console performance report, under the Web search type. So you do not see them separately. Traffic that comes from chatgpt.com or perplexity.ai does show up as referral traffic in your web analytics.
An agent can also ask AI search engines a fixed list of questions every month and record whether your domain shows up as a source. Treat that as a sample, not a measurement: the same answer differs per session, per country and per model version. Some tools do this at scale. If you pick one, look at which questions it asks, because a score on questions your customers never ask says little.
Which GEO work stays with people?
The agent does the checking and proposes text. People choose which questions matter, check the claims and guard the tone. That last part weighs more in GEO than in SEO. An AI search engine sometimes copies your sentence almost word for word. A mistake in a definition or an overly bold promise then reaches more people than it would on your own page.
You also decide which crawlers you allow. If you do not want your text used for training, you can block GPTBot and allow OAI-SearchBot. And you accept that nobody can guarantee a mention. An AI search engine picks its own sources, and that choice changes with every model update.
How do you get started with GEO?
Pick five pages that answer a real buying question, such as what something costs, how it works or how you differ. Have the agent check those pages, read the proposals and decide what goes live. Repeat that every month for the next pages, and look at the Search Console data from your SEO cycle at the same time. That makes GEO a fixed part of your AI automation, like other recurring work an agent does for you.
Voltti sets up this way of working for businesses in Belgium and the Netherlands, with an AI agent on a system you choose. A pilot usually takes 2 to 4 weeks, from the first conversation to the evaluation. How we approach it is explained on our approach page. What else an AI agent can do for your business is on the page about the AI agent for your business.
