What We Do Know: How LLMs Pick Products Now
Structured, machine-readable signals win. Products with schema (price, reviews, availability), clean categories, clear attributes, etc., are easier for LLMs to parse.
Freshness counts. If your product info is stale (old copy, outdated stock, old offers), chances are it’s less likely to be surfaced. Newer content often gets priority.
Authority & trust still matter. Domains with good backlink profiles, genuine reviews, real testimonials are more likely to be considered. Brand perception plays a role even in “AI world.”
Clarity & specificity help. Short, unambiguous product descriptions; common questions answered; bullet-lists of benefits; alt text on images – clean formatting helps.
What Probably Matters (But Not Fully Proven Yet)
Because this is still early, some of these are speculative – but they’re worth acting on:
Review volume + quality (not just star rating) might be a strong signal. The more customers trust the product, the more likely AI will pick it.
Engagement metrics: clicks, dwell time, maybe social mentions – things that show “people like this product.”
Visibility outside your site: third-party reviews, forums, brand mentions–elsewhere–could help.