Reviews and citations shape what AI says about you.

When an assistant describes a contractor, it's mostly repeating what other people have written. I find out which review sites and mentions it draws on for your trade, then help you earn more of them honestly.

No long contracts. You talk to Simon.

Which heating and air company in Encinitas do homeowners recommend for a heat pump install?

Here are companies I would look at:

Illustrative
  • 17 years in SEO
  • Engineering degrees
  • 85% of clients in San Diego County
  • No long contracts

Where review and mention signals fall short

  • Your reviews say great service and nothing more
  • All your reviews sit on a single platform
  • No local site mentions your company by name

How I test review and mention work

Scientific SEO

  1. 1 Measure I record which review sites and third-party pages assistants cite for your trade and cities.
  2. 2 Change one thing I change one thing, such as how and when your crew asks for a review.
  3. 3 Measure again I run the same prompts again about two weeks later and read the new reviews themselves.
  4. 4 Keep what works You keep the request process that produces detailed, honest reviews as the standard one.

What the review and citation work covers

Why reviews and mentions matter to AI assistants

To describe a local business, an AI assistant draws on reviews and third-party mentions: what customers wrote about you, and where else on the web your company is named. Your own website can say you’re good at heat pump installs. An assistant asked who homeowners recommend needs someone other than you to have said it.

Why assistants lean on what others say

A recommendation needs evidence, and for a local contractor the available evidence is mostly reviews and independent mentions. When an assistant searches the web to answer a question, the pages it finds for a company are often review platforms and directories. As far as anyone outside these companies can observe, the short descriptions assistants give of a business frequently read like a summary of its reviews. A company with thin or stale reviews gives them little to summarize.

What makes a review useful

“Great service” states nothing, to a person or to software. A review saying a crew replaced a heat pump in Encinitas, explained the thermostat and came back to adjust it states a service, a place and how the job went.

You can’t script that, and shouldn’t try. The way to get it, as part of review management, is to ask at the right moment, soon after the job, with an open question such as what the work was and how it went.

Why one platform isn’t enough

Reviews in one place leave you thin everywhere else. Google reviews come first because they also affect the map pack. An assistant that searches the wider web may be reading other sites entirely, so I look at which ones show up as sources for your trade before suggesting where to ask. Each platform has its own rules. Some don’t want businesses soliciting reviews at all, and I follow those rules.

Two meanings of the word citation

In local SEO, a citation is a listing of your business details on a directory. In AI answers, a citation is a source the assistant points to. They overlap: a directory listing can become the page an assistant cites. That’s why accurate listings matter to GEO (Generative Engine Optimization), along with the mentions that are harder to get, such as a local news story, a manufacturer’s dealer page, a trade association directory or a youth league you sponsor. Those come from real involvement in the community, which is also how honest local link building works.

What I won’t do

I won’t write, buy or arrange fake reviews, and I won’t set up review gating, where unhappy customers are steered away from public sites and happy ones are sent to them. Both break Google’s review policies, and fake reviews are also against federal consumer protection rules. Every customer gets the same request, whatever their experience. Critical reviews get a calm reply.

How I measure it

I start by recording which review sites and third-party pages the assistants cite when asked your customers’ questions, and what they say about your company and your competitors. That shows which platforms deserve effort. Then I change one thing, usually how reviews are requested, run the same prompts again about two weeks later, and report what happened either way. The assistants are never guaranteed to respond, and reviews accumulate slowly, so expect this to take time.

What a result looks like

Every engagement starts and ends with the same measurement.

Sample layout. Not a real client.

Trade, city: the problem in one line

Starting point
Rank grid before any change
What changed
The one or two changes that moved it
Result
Rank grid after, and the change in calls

Review and citation work across San Diego County

How many reviews do I need before AI names my company?

No fixed number exists, and no review count guarantees a mention. I observe which businesses get named for your trade in your cities and set their review profiles next to yours. That comparison is more useful than a target, and it sometimes shows that detail and recency are the gap, not volume.

Can I offer a discount in exchange for a review?

No. Offering money, discounts or gifts for reviews breaks Google's review policies, and paying for positive reviews is also against the Federal Trade Commission's rule on fake reviews. It also puts every honest review you have at risk if the profile is penalized. Ask every customer plainly, with a direct link to make it easy, and accept what they write.

Do I need a perfect five-star rating?

A perfect rating is unnecessary: critical reviews with calm, specific replies read as a real business. What hurts is an unanswered complaint about a real failure, so reply well and fix what it was about before worrying about the average.

Which review sites matter for AI answers?

That varies by trade and city, and I find out by testing. Google reviews are the usual starting point because they also affect the map pack. An assistant that searches the wider web may be reading other sites entirely, so beyond Google I look at which sites actually appear as sources when assistants answer your customers' questions. I also check each site's rules before suggesting where to ask, since some don't allow businesses to ask for reviews.

See which reviews and mentions AI draws on.

Enter your trade and cities to see which review sites and local sources the assistants cite when they answer.

  • The questions tested, and the answers each assistant gave
  • Which competitors are named, and the sources the assistants cite
  • What I'd change first, in plain English

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