You can’t solve a problem you can’t see. The first step of defensive GEO is systematic monitoring of how AI systems describe your brand.
What should you monitor?
Factual accuracy
Test product-specific prompts and compare the AI answers with the factual product specifications. Check:
- Are interest rates, prices and tariffs correct?
- Are product features described correctly?
- Are application requirements correctly represented?
- Are contact information and accessibility correct?
Positioning and sentiment
How is your brand positioned relative to competitors? Is the tone consistent with your desired positioning? Are negative associations being made that aren’t accurate?
Categorical placement
Is your brand placed in the correct product categories? A bank that also offers insurance products but is described by AI only as a bank has a GEO gap. The same applies to a fire safety installer that also supplies first-aid materials and pictograms but is only recognised as an extinguisher specialist, or a SaaS company that offers both a PM tool and a time-tracking module but only appears in one category.
Monitoring protocol
- Set up a set of branded monitoring prompts per product category
- Test monthly across all relevant AI platforms
- Document each answer fully — screenshot, date, model, prompt phrasing
- Compare with the factual product specifications and desired positioning
- Escalate found errors to the correction protocol (see 9.3)
Signal detection via customers
Customers are also a source of misrepresentation signals. If customers come in with incorrect expectations — based on “what they had read somewhere” — there is a real chance that an AI answer was the source. Set up an internal flagging process for such cases.
Related in the hub
→ How do you respond to found misrepresentations? Read 9.3 — Correction strategies.