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 SaaS companies, they combine what the model learned in training with pages found through live search. These kinds of sources tend to shape the answer:
- Software review and comparison sites, such as G2, Capterra and TrustRadius.
- Best of and versus articles from blogs and publishers in your category.
- Community threads on Reddit, Hacker News and niche forums.
- Your own pricing, features, docs and changelog pages.
- YouTube reviews and walkthroughs.
What to do
- 1List the shortlist questions in your category: best, versus, alternatives, pricing and use case questions.
- 2Measure which AI engines name you for each, and who they name instead.
- 3Publish honest comparison and alternatives pages, with tables and clear facts.
- 4Keep pricing, plans and feature pages current, and mark them up with SoftwareApplication schema.
- 5Win the review sites and articles AI cites for your category, with fresh reviews and accurate listings.
- 6Join the community threads where buyers ask for recommendations, with genuinely helpful answers.
- 7Track AI referred traffic next to signups, so you can show the return.
Watch out for
- Old prices or retired plans that AI keeps repeating.
- Competitor comparison pages that describe your product wrongly.
- Thin feature pages that leave AI guessing what you do.
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.