GEO
GEO, or generative engine optimization, is work on your content and online presence aimed at the answers AI generates. The goal can be getting your brand mentioned more often or getting your pages used as a source.
What the work involves
It can include adding specific information about your offer, publishing content that genuinely helps customers and improving how accessible your website is to crawlers. What independent sources say about your company matters too.
How it connects with Heuriso
Monitoring shows the prompts and topics where your brand gets left out. The action plan turns those observations into suggested fixes, and their effect has to be judged in later measurements.
The original GEO study showed that content changes can make a difference under the conditions it tested, but it doesn’t offer a universal recipe for getting recommended by today’s chatbots. Google points to SEO fundamentals as what matters for its own AI answers.
Why GEO starts with your audience’s needs
An AI building an answer needs information that fits the specific question. A general description of “end-to-end solutions” tells little to someone comparing support coverage, integrations or setup costs. Useful content sets out terms, limitations and use cases in a way that can be checked. You don’t have to create lots of new content right away; often it makes sense to improve your existing service pages first.
Separate work on your own website from information in third-party sources. If a chatbot keeps relying on an outdated directory, adding a paragraph to your homepage may not solve the problem. Find out which material actually appears in the answers you measure, and start by fixing the information where you can legitimately update it.
On a limited budget, start with one important page and a few related prompts. Record the starting point, add the missing information and watch the next answers. That scope keeps the work manageable and avoids an expensive overhaul of the whole site without a clear goal.
Common mistake: writing purely for the algorithm
Repeating your brand name, adding unverified statistics or producing dozens of similar answers doesn’t replace real product knowledge. Don’t assume that hitting a certain word count will get you cited, either. Every change should solve a specific problem for the reader. Judge its effect on the answers related to that problem, and remember that a sequence of events alone doesn’t prove cause and effect.
Example
Instead of adding yet another general promise of “great support”, a company publishes its actual support hours, contact channels and the terms of its help.
Key takeaway
No single fix guarantees recommendations in every chatbot. Choose work that is useful to customers and measure its effect.