AI models decide which businesses to recommend based on a combination of factors drawn from their training data and, increasingly, real-time web access.

The key factors include: how consistently and accurately the business is described across the web; whether the business has structured content that clearly identifies what it does, who it serves, and where it operates; whether authoritative sources reference or cite the business; whether the business’s website uses schema markup and structured data that AI systems can parse directly; and whether the business has machine-readable content files that AI crawlers can index.

Businesses that score well across these factors are more likely to be named when an AI model forms an answer to a relevant question. Businesses that are inconsistently described, lack structured content, or have thin digital footprints are likely to be overlooked even if they are excellent at what they do.

GEO is the systematic practice of improving these signals so AI models have everything they need to recommend your firm confidently.