Questions buyers ask AI
Examples of the questions where AI names specific brands. Track questions like these for your own business.
The sources AI leans on
When AI engines answer questions about insurance companies and brokers, they combine what the model learned in training with pages found through live search. These kinds of sources tend to shape the answer:
- Insurance comparison and aggregator sites.
- Personal finance publishers.
- Regulator and official sources for claim and complaint data.
- Reviews and complaint forums.
- Your own plan pages with cover, exclusions, premiums and claims process.
What to do
- 1Track plan type, audience and comparison questions in each market.
- 2Explain each plan in plain language: what is covered, what is not, and example premiums.
- 3Publish your claims process clearly, with steps and timelines.
- 4Keep aggregator listings and your own pages in sync.
- 5Check AI answers for wrong exclusions, old premiums or outdated claim figures.
- 6Follow your market's rules on insurance promotion in everything you publish.
Watch out for
- AI repeating old premiums or exclusions.
- Claim settlement figures quoted without their date or source.
- Complaint threads that dominate answers about you.
How Variask helps
- Track the questions your buyers ask across ChatGPT, Gemini, Claude, Perplexity, Copilot and Google AI, in every market you sell in.
- See which competitors get recommended instead of you, and the sources behind each answer.
- Catch wrong facts about your prices, products or policies, with the pages that likely caused them.
- Get content briefs and site fixes for the questions you lose, and measure AI traffic to your site.