One AI answer cannot represent a brand's visibility on its own. Results can vary by model, prompt, market, date and search tools. Useful tracking compares consistent samples and keeps raw answers for review.
Choose questions that sound like shoppers
Write independent questions that cover discovery, comparison and use. Avoid phrasing every question to force your brand into the answer; that would make results artificially favorable.
- “What type of [product] suits [need]?”
- “What are the differences between [option A] and [option B]?”
- “What should I check before buying [category]?”
Keep comparison conditions consistent
Record the date, language, country or market, model and search mode. When comparing periods, keep those settings as similar as possible and report the sample size.
Review sources, not just a score
Check the answers and cited pages: are they relevant, accessible and accurate? A mention does not prove a general recommendation, a click or a sale. Absence from a sample does not prove absence everywhere.
Turn observations into verifiable work
If answers miss an important specification, first verify the product and its public page. If an external source is cited, read it before drawing conclusions. Neom GEO & AI Content helps track questions and organize actions from observations; it does not guarantee an AI will recommend a brand.
Sources and references
Frequently asked questions
How many questions should I track?
Choose a sample broad enough to cover major shopping needs but manageable enough to review. Keep the same set when comparing periods and report its size.
Does a high mention rate mean more shoppers will buy?
Not necessarily. A rate calculated from a sample of answers is neither a universal exposure measure nor proof of traffic or sales. Compare it with your site analytics and business results.