AI Search & LLMs

What Answer Engines Actually Look For on Your Listing

6 min read Owners curious why ChatGPT and Google's AI Overviews recommend competitors they've never heard of.

An answer engine is not a search engine. It doesn't return ten links and let the user choose. It reads the web, forms a judgment, and hands back a recommendation. If you're not part of the recommendation, you're not part of the consideration set.

1. Named services in the customer's language

Answer engines match the query's phrasing to text on and about your business. "Same-day AC repair" only matches if the phrase "same-day" appears in your listing, your website, or your reviews.

2. Review corpus richness

Star average matters far less than review substance. A model that reads twenty descriptive reviews can construct a defensible recommendation. A model that reads twenty "great!"s cannot.

3. Consistency across surfaces

Your GBP, your website, and any directories the model has indexed should agree on the basics — services, address, hours, phone. Contradictions make you a less confident recommendation.

4. Recency

Answer engines heavily weight recency signals — recent reviews, recent posts, recent photos. Silence is a signal, and it isn't a good one.

5. Local specificity

Neighborhood mentions, cross-streets, and landmarks in your content give the model the geographic confidence it needs to recommend you for a place-based query.

The listing you set up in 2019 was for a search engine. The listing that wins today is for a reader.

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