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September 28, 2026 · Jeff Mays
I read an article this week that started with a question every agency owner should consider:
If Google sends fewer people to your client's website, will the phone still ring?
The article was written for local businesses that depend on Google. What I appreciated was that it did not try to scare business owners into believing everything they know about marketing is suddenly worthless.
Its advice was practical. Keep the business information accurate. Build useful service pages. Collect honest reviews. Make the website easy to use. Answer the questions customers actually ask.
I agree with all of that.
But as I read it, I kept thinking about the agency owner who now has to turn that advice into an actual client plan.
Because a list of good things to do is not the same as knowing what to do first.
That gap is a big part of why I built RediForAI.
Most agencies already understand the pieces
A good agency knows that a Google Business Profile should be complete. Reviews matter. Service pages need to say more than, “We provide quality service at a fair price.” The phone number, hours, service area, and contact process need to work.
The difficulty is seeing how all those pieces come together in AI search.
ChatGPT may find one set of information. Google's AI experiences may rely more heavily on another. Perplexity may cite the company's website or a third-party source. Reviews, directories, social profiles, local mentions, and the company's own content can all help form the picture.
There is no single AI ranking an agency can check and call the job finished.
The original article makes this point well: a local business should not replace dependence on Google with dependence on another platform. Read the Lime Group article
That means an agency needs a repeatable system for answering three questions:
Where is the business appearing now?
Why might it be appearing—or missing?
What is the most useful thing to improve next?
A good Google presence may not tell the whole story
Imagine you work with a heating and air company.
Its Google Business Profile is current. It has a good number of reviews. It ranks well when somebody searches for a nearby HVAC company.
That is valuable, but it is only one part of the picture.
Now ask several AI systems a more specific question:
“Who can repair an older heat pump in this area and come out on a Saturday?”
One AI mentions the company. Another recommends two competitors. A third cites an article from the company's website but never names the company as someone to call.
Why?
Maybe the website never clearly explains which equipment the company services. Perhaps weekend availability is buried in a social post. The service-area information might conflict between the website and a directory.
Or the public information may look fine, and the answer simply changed on that particular search.
One screenshot cannot diagnose the problem.
And an agency should not promise that adding one paragraph or one piece of schema will make every AI platform recommend the client.
What we can do is collect the evidence, find the clearest gap, make a sensible improvement, and check again.
Turn the checklist into a four-step system
1. Establish a baseline
Use questions that reflect how customers actually choose a business. Do not limit the check to the company name or one favorite keyword.
Check more than one AI platform. Record whether the business is:
Named
Cited as a source
Suggested as an option
Actually recommended
Described accurately
Those are different outcomes. They should not be collapsed into one vague statement that the company is “showing up in AI.”
2. Connect the answer to the public evidence
Look at the website, Google Business Profile, reviews, directories, social activity, local authority, and other public information.
Does the business clearly explain the service the customer asked about? Is the service area consistent? Are important claims supported? Do reviews describe the kind of work the business wants to be known for?
The goal is to find a reasoned next step. It is not to pretend we discovered a platform's private formula.
3. Prioritize the work
If the phone number is wrong, fix that before writing ten articles.
If an important service is missing from the website, explain it clearly. If the company has no recent reviews, help it create a consistent and honest review process. If different sources describe the service area differently, clean up the inconsistency.
The order matters because a local business does not have unlimited time or money.
The agency's value is not producing a longer to-do list. It is helping the client choose the next useful action.
4. Report what changed
Show the client what you observed, what you corrected, and what happened when you checked again.
Then connect the work to the business outcomes that still matter: qualified calls, appointments, proposals, booked work, and new customers.
AI presence helps a business get considered. The final goal is still a real customer.
Agencies already have an advantage
An established agency already knows the client. It understands the website, the market, and which services matter. It can ask the owner whether public information is correct before changing it.
That relationship is difficult for a new automated tool or low-cost provider to replace.
The missing piece is often a repeatable way to bring everything together.
That is what RediForAI is designed to help agencies do.
It provides a way to audit a client's AI presence, examine the factors that may be affecting that presence, turn the findings into a practical Recommendation Roadmap, and monitor what changes over time.
It does not promise that completing one task will force an AI platform to recommend a business.
It gives the agency evidence and a process.
That distinction matters.
Local businesses do not need another person selling them a secret AI trick. They need someone they trust to look at the whole picture, explain what is happening, and help them take the next sensible step.
Local agencies are in a very good position to fill that role.
Try this with one client
Choose one client and one important service. Write down five questions a serious customer might ask before calling.
Check those questions across more than one AI platform. Do not stop at whether the client's name appeared.
Look at what the AI said, which sources it used, whether the information was accurate, and what the business could improve.
That turns AI search from another confusing trend into useful work you can do with your client.
And that is what AI Presence Management is about.
If you would rather have RediForAI run the audit, organize the evidence, and build the client-facing report and Recommendation Roadmap, start your free 7-day trial.