Integrating AI into the search feature.

Make your product pages clear and easy to understand. Use the words real people search for. Collect honest reviews from real customers. And keep showing up consistently. The more people can trust what you say, the more likely AI is to recommend you.

This thread is mostly guessing recipes, so here is what is actually documented. AI Mode in Facebook search is real - it launched in June and press coverage at launch reported that it draws answers from public posts and Reels. Meta also maintains a transparency page for Facebook Search that describes how the ordinary search results are ranked: gather eligible results, score them on relevance and personalization signals (the examples it lists include recency, like counts and click-through), apply integrity filters, then rank. That page covers the classic search results and does not say how AI Mode chooses what to recommend, so specific tactics like "keyword-rich metadata" (Dawin L) or expanding keyword lists as far as possible (Nikolaj Poulsen) are guesses, not established mechanics. What you can actually do is observe: run the product searches you care about in AI Mode over a few weeks, note which pages and posts get surfaced, and compare what they share - detail, freshness, format. That is a sample from your own niche, not proof of a general rule, but at least it is evidence instead of speculation. Whether balamdir23's clear-and-detailed direction or the keyword recipes work better for AI Mode is an open question the documentation doesn't answer - your own searches won't settle that in general, but they can show you what AI Mode actually surfaces for the queries you care about.

I think marketing could be more detailed in terms of each keyword. the more common and frequently searched content is, the higher the AI's recommendation rate.

Focus on clear product descriptions, accurate information, genuine reviews, and helpful content that answers customer questions.

That sounds quite interesting.