- Assistants answer local queries with specific business recommendations, drawn from maps data, reviews and structured local data.
- A complete, consistent business profile and reviews across the web is the core signal.
- LocalBusiness schema and accurate NAP (name, address, phone) make your facts machine-legible.2
- Reviews and consistency matter more here than raw content volume.
Local search was already a distinct discipline — maps, profiles, reviews, proximity. Assistants are now a layer on top: ask one for a recommendation and it synthesizes those same signals into a named short list. The businesses that win are the ones whose local footprint is complete, consistent and well-reviewed.
How assistants answer local questions
A local answer blends structured business data (hours, location, services), review signals (ratings and their text), and proximity to the asker. The model isn’t inventing recommendations — it’s summarizing a consensus already visible in maps and review platforms. Your job is to make that consensus clear, correct and flattering.
Consistency is the whole game locally. If your name, address, phone or hours differ across your site, maps profile and directories, the model sees contradiction — and contradiction gets you hedged, mislisted, or dropped in favor of a rival whose facts agree.
The local visibility foundation
- Complete, verified profiles on the major maps and review platforms, with consistent NAP everywhere.
- LocalBusiness schema on your site — address, hours, service area, phone — matching your profiles.
- Genuine reviews, steadily earned, with text that names your services and strengths.
- Service and area pages that state plainly what you do and where you do it.
Reviews carry the recommendation
For local businesses, reviews are the single strongest signal an assistant reads — they’re abundant, recent, and rich in the exact language buyers use (“great with anxious patients,” “showed up on time”). A steady stream of authentic reviews that mention your specific strengths does more than any amount of homepage copy, because it’s the corroboration the model trusts.
Locally, you don’t win the answer by writing more. You win it by being consistently listed and genuinely reviewed.
A local GEO checklist
- Audit NAP consistency across your site, maps profiles and directories; fix every mismatch.
- Add LocalBusiness schema matching those facts exactly.
- Build a habit of requesting genuine reviews and responding to them.
- Publish clear service-and-area pages in plain, crawlable HTML.
- Test local prompts (‘best X in [area]’) periodically and watch whether you’re named.
Frequently asked questions
It rests on the same foundations — consistent profiles, reviews, local schema — but the surface is different: an assistant naming a short list rather than a map pack. Getting the local SEO basics right is most of the battle, with review quality and consistency mattering even more.
Very — reviews are recent, abundant and full of the buyer’s own language, which makes them the strongest corroboration an assistant reads for a local business. A steady stream of genuine reviews mentioning specific strengths is the highest-leverage local work.
Inconsistent NAP — mismatched name, address, phone or hours across your site and profiles — because contradiction makes the model hedge or pick a rival whose facts agree. Fix consistency before anything else.
Sources & further reading
- Schema.org vocabulary — Product, Offer, FAQPage, Organization types.
- Google Search Central — "AI features and your website".
- "GEO: Generative Engine Optimization", Aggarwal et al., KDD 2024 / arXiv:2311.09735.