Local SEO and getting found in AI search

Before any of the AI conversation, the fundamentals still decide most of your visibility. 62% of consumers find restaurants through Google, and one in three diners searches Google specifically to pick where to eat (1 in 3 diners search Google to find a restaurant). Your Google Business Profile is the single record that feeds the map pack, the knowledge panel, and increasingly the AI answer. Claim it, verify it, and treat it as a living page, not a set-and-forget listing.

The revenue math is not subtle. Unclaimed listings averaged -$72,000/yr less in annual revenue, and there is a rating sweet spot worth chasing: businesses at 4 to 4.5 stars earn +28% revenue more than average, actually outperforming 5-star businesses (a wall of perfect reviews reads as fake to both people and algorithms).

NAP consistency means your Name, Address, and Phone number are byte-for-byte identical everywhere they appear: Google, Yelp, Apple Maps, Bing, TripAdvisor, and the long tail of directories that aggregate into all of them. When one directory lists "St." and another "Street," or an old phone number survives on a listing you forgot existed, search engines lose confidence you are one real, stable business, and confidence is exactly what ranking rewards.

Doing this by hand across 50-plus directories is a bad use of an operator's night. This is the cleanest job to hand to software. Listing-management platforms like Yext, Uberall, BrightLocal, and Marqii hold one canonical record and propagate every correction outward, then keep auditing for the duplicates and zombie listings that reappear on their own.

Generative engine optimization (GEO) (GEO) is the new discipline underneath the 83% invisibility number. Assistants do not show ten blue links; they name 79%, where informational and comparative prompts drive most restaurant answers, so the assistant recommends only 3 to 5 brands per query. If you are not one of them, you do not exist in that conversation. This matters more each quarter: consumer use of AI for local recommendations jumped from 6% to 45% in a single year, and 58% of U.S. adults already see an AI summary on a normal search.

Getting cited is a mix of structured data and reputation. Machine-readable menu and business Schema markup lets an Large language model (LLM) quote your dishes and hours accurately. Reviews are the other half: 55% of consumers trust AI-generated review summaries, and the rating threshold is real, ChatGPT leans on 4.3+ stars (Perplexity 4.1+, Gemini 3.9+). Consistent, keyword-rich review content and replies feed the summaries these models generate. For the technical side (how to structure your content and set crawler access so ChatGPT and Claude cite you as a source), read the deeper guide to getting your site cited by ChatGPT and Claude on Founden.ai.

AI visibility is not a switch you flip. Google's own AI Overviews are eroding clicks even for pages that rank: users who saw an AI summary clicked a traditional result in only 8% vs 15% for those who did not, and clicked a link inside the summary just 1% of the time. That means the answer itself, not your website, is often the destination, so your goal shifts from "get the click" to "be the recommendation."

And Google is not dead. Its share as a review source actually dipped from 83% to 71% as AI rose, but 71% is still dominant. The right posture is both doors at once: nail the Google fundamentals that still drive the majority of discovery, and structure your data so the emerging AI layer can cite you. Automation earns its keep here because it does the same consistency work across every surface simultaneously, which no owner has the hours to do by hand.