You've got 47 five-star reviews. Your competitors have 12. You're doing everything they told you — asking every customer, responding to every review, following up after every job.
And the phone still isn't ringing the way it should.
Here's what happened: the search landscape split.
Two Layers of Search, One Set of Rankings
Google Maps still cares about reviews. That part of the system hasn't changed.
But there's a second layer now — ChatGPT, Claude, Perplexity, Siri, Google AI Overviews, voice search. A growing share of local service searches start here. And this layer doesn't care about your review count at all.
When someone asks ChatGPT "who's the best electrician near me in Akron," the AI doesn't pull your star rating. It doesn't know your star rating. It looks at whether your website has structured data, whether you have machine-readable content, and whether trusted third-party sources mention your name in context.
Your five-star average is invisible to it.
Run a free AI visibility audit — see if ChatGPT can find your business →
The Five Signals AI Actually Uses
After running audits on hundreds of local businesses, here are the signals that move the needle:
1. LocalBusiness Schema Markup
Structured JSON on your homepage that tells AI crawlers exactly what you do, where you operate, your hours, and your service area. Without it, AI systems guess — and often skip you.
Most local service sites don't have this. The ones that do show up when someone asks an AI assistant for a recommendation in their city.
2. FAQ Schema
Questions and answers in structured format on your service pages. "Do you offer free estimates?" "What's your response time for emergency calls?" "Do you serve [city]?"
AI extracts these and serves them when a person asks those exact questions. A plumber with five FAQ schema entries will outrank a plumber with 100 reviews and no schema, every time.
3. llms.txt
A plain-text file at yoursite.com/llms.txt that summarizes what your business does in plain language. It's the machine-readable business card for AI systems — same concept as robots.txt was for Google crawlers in 2002.
Right now, almost no local businesses have this. It's a significant first-mover advantage while adoption is still low.
4. NAP Consistency
Name, address, phone — consistent across every directory. AI systems cross-reference these the same way Google does, but the threshold is stricter. One inconsistency in a key directory can cause AI to flag your business as unverified and skip the recommendation.
5. Authority Mentions
When local news outlets, industry directories, or professional associations mention your business name in context, AI treats that as a verification signal. A contractor mentioned in three local news articles ranks higher with AI than one with 200 anonymous reviews and no third-party references.
The Window Is Open Right Now
Most local businesses don't have any of this set up. Schema adoption on local service sites is below 15%. llms.txt on small business sites is in the single digits.
This is a first-mover window. The businesses that get these signals in place over the next six to twelve months will own AI search for their service category in their city. The ones that wait will watch their phone traffic decline while their review count climbs.
Reviews won't catch them up. The two systems don't talk to each other.
See exactly what you're missing — free brand audit at vibetokens.io/start →
What the Audit Checks
Our free brand audit runs all five AI visibility checks automatically: LocalBusiness schema, FAQ schema, llms.txt, robots.txt configuration for AI crawlers, and a live test of whether an AI assistant can actually find your business when asked.
Most businesses score well on reviews and poorly on everything else. That's the gap. The audit shows you exactly where you stand.
Takes two minutes. No sales call. You get the full scored report in your inbox.
