Why local reviews still matter — even in the AI era

We sat down with DJ Wetzel to settle a question owners keep asking: do reviews still matter now that AI does the recommending? His answer was emphatic — they matter more. Here’s what he told us.

Every so often a business owner tells DJ some version of “reviews probably don’t matter as much anymore, now that the AI just decides for people.” He understands the logic. If ChatGPT is handing customers a recommendation directly, it can feel like the old star-rating game is over. But he says it’s exactly backwards. Reviews haven’t gotten less important in the AI era. They’ve become one of the main things the AI reads to decide who to recommend in the first place.

The misconception, and what’s really happening

The mistaken picture goes like this: the AI “decides directly,” off in its own world, so what real customers say no longer counts. But the AI doesn’t have opinions about your business. It has sources. When someone asks ChatGPT, Claude, Gemini, or Google AI Overviews for the best contractor near Greenville, the system goes looking for evidence of who’s actually good — and reviews are some of the richest evidence there is. Real people, describing real experiences, in their own words. That’s precisely the kind of trustworthy signal these systems lean on. If you’re curious what that evidence adds up to today, there’s a quick way to find out by asking ChatGPT where your business stands in AI search.

So reviews didn’t get cut out of the process. They got promoted. They’re now feeding the machine that makes the recommendation.

As DJ put it:

“The AI doesn’t wake up with an opinion about your business. It reads the receipts your customers left behind — and reviews are the richest receipts you’ve got.”

— DJ Wetzel, M.Ed., White Oak Digital

What the AI actually reads in a review

Here’s where it gets interesting, and where a lot of owners are leaving value on the table. AI systems don’t just count stars. They read. And what they’re reading for is understanding — what you do, who you do it for, and how well.

A review that says “Great service, 5 stars!” tells the machine almost nothing. A review that says “Called them when our AC died during that July heat wave, they had someone out the same afternoon, replaced the capacitor, and walked my elderly mother through the whole thing without talking down to her” — that tells the machine everything. Emergency service. Fast response. Specific repair. Patience with vulnerable customers. That single detailed review teaches the AI more about your business than a hundred star-only ratings.

What makes a review “citation-worthy”

The reviews that actually move the needle share a few traits:

• Specific details about what happened, not just how it felt.
• Service specifics — the actual work performed, named plainly.
• Dates and outcomes — when it happened and how it turned out.

That’s why forty-seven substantive, detailed reviews will out-recommend two hundred that just say “good.” Volume of stars is easy to game and thin on meaning. Depth of description is hard to fake and rich with exactly what the AI needs. Quality of content beats quantity of clicks, every time.

As DJ put it:

“Forty-seven reviews that describe the actual work will beat two hundred that say ‘great job.’ Stars are easy to fake. A specific story isn’t — and that’s exactly what the AI is reading for.”

— DJ Wetzel, M.Ed., White Oak Digital

A review pipeline that fits a real schedule

You don’t need a complicated system to build this. You need a simple, repeatable habit:

• When to ask: right after a job goes well, while the relief and gratitude are fresh. A week later, the moment’s gone.
• How to ask: in person or with a quick personal message, and — this is the key — nudge them toward specifics. “If you have a minute, it’d help us a lot if you’d mention what we actually did and how it turned out.” That one line turns a “5 stars!” into a citation-worthy review.
• What to do with negative reviews: respond, calmly and publicly, like a professional who takes it seriously. A thoughtful reply to a hard review often builds more trust than a wall of perfect ones — everyone knows nobody’s flawless, and how you handle a problem is the real test.

Twenty minutes a week on this, done consistently, quietly compounds into a reputation the machines can read and vouch for.

As DJ put it:

“There’s no shortcut here. Twenty honest minutes a week, done for a year, builds something a competitor can’t buy their way past. That’s compounding, not a quick win.”

— DJ Wetzel, M.Ed., White Oak Digital

Why third-party platforms matter most

One more thing, DJ adds, because it trips people up. The testimonials on your own website are nice, but the AI treats them the way you’d treat a resume someone wrote about themselves — pleasant, and not exactly neutral. What carries real weight is third-party platforms the system trusts: your Google Business Profile above all, plus the review sites specific to your industry. That’s also why keeping your Google Business Profile active and audited matters so much — it’s the single platform the AI leans on hardest. That’s independent evidence, and independent evidence is what earns a recommendation. Get the reviews where they count.

The bottom line

Reviews are not a relic of the old search world. They’re a primary ingredient of the new one — real people teaching the machines who to trust. Building a steady stream of detailed, third-party reviews is one of the highest-return things a local business can do right now.

If you’d rather not manage the review and reputation side yourself, it’s part of what we handle inside Implementation — building the pipeline, monitoring what comes in, and making sure your reputation is working as hard for you as your fieldwork already does. But pipeline or no pipeline, start asking your happy customers for the details. It matters more now than it ever has.

— Based on an interview with DJ Wetzel, M.Ed., founder of White Oak Digital.