How AI Recommends Software, and How to Get on the Shortlist

“What's the best IT help desk software for a 200-person company?” “What's a cheaper alternative to the tool we use now?” Software buyers ask AI assistants these questions early, and the answers shape the shortlist long before a demo is booked.

What AI looks at when it recommends software

• Review sites like G2, Capterra and TrustRadius, and analyst reports
• Community threads on Reddit and in technical forums
• Your pricing, comparison and documentation pages
• Integration marketplaces and partner directories

Developer and IT communities carry real weight. A candid Reddit thread where admins compare tools is exactly the kind of source AI likes to summarize.

“Alternative to” and comparison questions

Some of the most valuable questions name a competitor: “best alternative to…” or “X vs. Y.” If you don't have honest, specific comparison pages, AI will build its comparison from someone else's. Fair comparisons that admit where the other tool is stronger tend to be more believable, to buyers and to AI.

Make your pricing readable

“Contact us for pricing” is a common reason a tool gets described vaguely, or not at all, in AI answers about cost. If you can publish pricing or at least starting prices, AI has something concrete to repeat.

What to fix first

1. List the category, comparison and “alternative to” questions buyers ask.
2. Check each one on every major AI engine and record who's recommended.
3. Make sure your review-site profiles are complete, current and actively collecting reviews.
4. Publish clear pricing and fair comparison pages.
5. Keep your docs public and crawlable, and check that robots.txt doesn't block AI crawlers.