Generative engine optimization, or GEO, is the work of making your business and expertise easier to discover and understand in AI-assisted search. A practical starting point is to examine the evidence your website gives a prospective customer: what you do, who it is for and why your claims deserve confidence.
This audit is a content-planning framework, not a promise of an AI recommendation. Google says its established SEO practices still apply to AI Overviews and AI Mode; it does not require special AI markup. A page must be indexed and eligible for a search snippet to qualify as a supporting link, and inclusion is not guaranteed. [1]
Start with a question a buyer would actually ask
Choose one commercially relevant question. “Which agency can help us reach shoppers considering competing retailers?” is more useful for this exercise than “What is marketing?”
Now read the page you would want that person to find. Does it answer the question directly, or does it mostly describe your business in broad terms? Identify the buyer’s next three questions and check whether the page helps with those too.
For a geofencing service, those might concern suitable locations, campaign objectives and how results will be evaluated. A clear service explanation should make the next conversation more productive.
Make the scope unmistakable
Replace statements such as “We deliver innovative solutions” with an explanation of the actual work. Identify the service, the situation it addresses, the inputs you need and the outcome you are working towards.
A global agency can describe a global outlook while still being precise about the markets and capabilities available for a particular campaign. Those details help buyers assess fit. They also prevent a broad brand statement from sounding like a promise that every tactic is available everywhere.
Put support beside the claim
List the three strongest claims on the page. For each, ask what a reader can inspect to understand or evaluate it.
A case study might explain the objective, campaign period, channels and measured result. A process section might show how an audience is selected. An expert article might explain a trade-off rather than simply announce that the agency has expertise.
Use numbers only when you can substantiate them. State what was measured, over which period, and what comparison is being made. An increase in page views should not quietly become an increase in sales as the story moves from a report to a headline.
Answer the awkward questions
Useful content includes boundaries. When might the service be unsuitable? What information is needed before a recommendation can be made? What affects cost, timing or feasibility?
These questions are often more helpful than another paragraph about being results-driven. They give a prospective client a way to prepare and make it easier to identify a genuine fit.
Place the answers on the relevant page. A buyer should not need to piece together a service description from a homepage, an old social post and a sales presentation.
Check access and consistency
Ask your web team to confirm that important pages can be crawled and indexed, that their main content is available as text, and that structured data reflects what visitors actually see. These are among Google’s published recommendations. [1]
Then review the business facts across your service pages and profiles. Service names, contact routes and descriptions should tell a consistent story. Update an outdated description because it misleads the reader, rather than treating consistency as a guaranteed ranking shortcut.
Turn the audit into an improvement list
For each priority page, record the buyer question, missing answer, unsupported claim and next edit. Start with the pages closest to a business decision. Review qualified inquiries and the questions prospects ask, alongside search performance and any identifiable AI referral traffic.
Frequently asked questions
Can an agency guarantee that AI answers will recommend our business?
No. A responsible GEO plan can improve the clarity, usefulness and supporting evidence of your content, but cannot promise that a particular AI system will recommend or cite it. Treat guarantees of a specific placement cautiously. Evaluate the work through documented improvements, relevant visibility observations and the quality of resulting business inquiries.
Which pages should we improve first?
Start with the pages closest to a customer decision: your priority services, important product pages and relevant case studies. Look for unanswered buying questions and claims that need support. Improving a small group of commercially important pages gives the team a clearer focus than adding more articles while the core service information remains vague.
What evidence can we use if we cannot share client results?
Explain your process, selection criteria and the trade-offs a buyer needs to understand. You can also use a clearly labelled hypothetical example to demonstrate the approach. Keep confidential details out, obtain approval for identifiable client material, and distinguish illustrations from measured results so readers know exactly what the evidence represents.
How should we measure progress with GEO?
Keep a dated record of priority pages, improvements made and a consistent set of relevant buyer questions. Use repeat observations of AI answers as directional evidence, alongside search performance, identifiable referral traffic and qualified inquiries. Answers can vary, so one appearance or omission should not be treated as a complete measure of performance.
Skymattix helps connect GEO and AI-search content with a useful customer experience. Book a discovery conversation to review where your website needs clearer answers or stronger evidence.