nixal.ai

Should You Hire an Agency for AI Visibility?

By EmmaPublished Updated 7 min read

Nixal’s view: Companies with an internal team and time to execute AI visibility work should use an agency for advice, capability building, and standard operating procedures (SOPs), while keeping implementation in-house. Companies without an internal team should delegate implementation and ongoing monitoring to an agency. In both arrangements, evidence should guide decisions, and results should be reviewed after changes.

That judgment starts with understanding what a customer is actually being told. We saw why this matters while reviewing AI answers for an automotive service business that offered both suspension upgrades and wheel alignment. The buying question was straightforward: where could a driver get both jobs done?

One answer looked like a win: the business was listed first. But it suggested getting suspension upgrades there, then going elsewhere for alignment. Other answers described the business as able to handle the whole job.

First in the answer. Yet part of the job was being recommended elsewhere.

An auto shop offering suspension and wheel alignment, with an arrow recommending the alignment work at a smaller specialist shop down the road.

The website was familiar. The answers were a surprise.#

The shop's core work included suspension upgrades, wheel alignment, control arm and bushing services, vehicle-noise diagnosis, and maintenance. Wheel alignment was work it wanted customers to bring to it.

The business knew what its website said. It had not compared how different AI search experiences described its services. In discussing the review with us, the client expressed surprise at information that appeared to be wrong.

The alignment example needed closer inspection. A recommendation to use a separate alignment shop is not necessarily a factual error, and these records do not establish a lost booking. But the distinction matters to a buyer: one answer points toward getting the whole job done in one place; another sends part of the work somewhere else.

A brand-mention count would not tell the business that story. Someone had to read what the answer actually recommended and compare it with the services the business offered.

Buying software is a sensible step. Someone still has to make the call.#

A monitoring tool gives you a record you can return to. Depending on the product, you can track selected buyer questions, compare supported AI channels, and inspect answers and available sources over time. For example, Peec describes daily prompt tracking and access to the underlying answers.

Choose software by the questions your business needs answered: which channels it covers, what it collects, whether comparisons remain meaningful over time, and how readily you can spot a change that needs attention. Price matters alongside those capabilities.

The automotive example shows why the answers themselves matter. A company can appear in a recommendation while being considered for only part of the job a buyer wants done.

It also shows why one measurement cannot settle the issue. You are sampling the outputs of systems whose answers can vary. A concerning answer gives you something to check; it does not tell you how often every customer sees the same advice.

Even when software flags an issue or suggests a fix, someone has to decide whether it has identified a business problem, whether the explanation is supported, and what to do next. Buying the subscription does not settle who will do that work.

An agency has seen more than your company's answers#

Your team may be encountering this problem for the first time. An agency with relevant experience can draw on what it has investigated across clients.

That experience is valuable when it changes the quality of the decision. Has the agency seen an important service disappear behind a company's better-known offering? Has it dealt with conflicting information about locations or service capabilities? Can it explain how it distinguished a problem worth fixing from an answer that needed more observation?

Those are examples to ask a prospective agency about, not assumptions to make because it calls itself an expert.

In this case, knowing that alignment belonged to the business's core work gave us a reason to look more closely. The next step was to compare the recommendation with service information and examine the sources available in the review.

The wider review recorded sources beyond the company's website, including Yelp, YouTube, Reddit, and automotive forums. That does not establish which source caused the alignment advice. It does mean that checking the website alone would leave part of the available evidence unexamined.

Experience across clients can help an agency know where to start. It still has to show why its recommendation fits your business. When your own team will carry out the work, that explanation is also part of what you are buying: people should learn how the agency reached its judgment so they can handle similar questions with more confidence.

You should receive a recommendation, not another research assignment#

If the agency finds a service-description problem, it should tell you what the evidence supports and what it recommends doing about it.

For the suspension-and-alignment question, that means first checking whether the business can actually deliver the combined job the buyer describes. If it can, is that clear in the information buyers can find? Is anything inconsistent? Is the difference limited to a particular answer, or does it recur in comparable observations?

The agency should make an evidence-based recommendation about what to address first. You supply the business facts, budget, and commercial priorities. If your team will implement the changes, ask the agency to work through the reasoning with them and help turn it into a repeatable process. The team can build its judgment through the work rather than having to master everything before getting started.

A recommendation might lead to a clearer alignment service page or a correction to an inaccurate business listing. It might also be to gather more evidence before changing anything. The work should follow the findings.

Who makes those changes depends on your resources. A team with time and access to its website can implement them with agency guidance, documenting the work in procedures it can use again. A business without that team needs an engagement that includes execution. Before signing, establish whether you are buying advice and team support, implementation, or both. If third-party material is involved, be clear about what can realistically be corrected or requested; an agency cannot control an independent reviewer’s conclusions.

The recommendation should leave you with a workable next step and an agreed person or team to carry it out.

The work continues after a page changes#

During a review, one more accurate answer is not enough to establish lasting improvement or show that a page edit caused it. Continue comparing answers to relevant questions and use the record of changes to assess what happened.

Whoever owns monitoring needs to keep checking comparable questions, record when changes were made, and assess whether the description improves across the observations being tracked. An internal team can make that review part of its regular work and consult the agency when it needs help interpreting a result. If execution is delegated, ongoing monitoring and review should be included in the agency’s scope. Otherwise, it is difficult to assess what happened after the investment.

Different tools contribute different evidence. Answer monitoring shows recommendations in the questions being sampled. Website analytics records visits it can identify. Inquiry and sales records help show whether people contact the business and what work they ask for.

Read these together, keeping their meanings separate. More mentions do not establish more customers. A verified factual error can deserve a correction before a sales effect is measurable.

Our AI visibility measurement guide explains what these measures can and cannot tell you. It is a guide to interpreting results, rather than a product-by-product software comparison.

Ongoing review should end with a decision: continue the work, change the approach, or stop an activity the evidence no longer supports. Ask who will make that recommendation and whether the engagement includes it.

What you are hiring an agency to take on#

For the automotive business, the review raised a practical question: how were buyers being advised about services it already offered?

If you have people who can take this on, agency support can help them build the capability as they work. They need a clear explanation of the evidence, guidance on the first changes, and procedures they can continue using. They do not need to begin as experts to benefit from that arrangement.

If you do not have a team, delegate the work to an agency that can investigate, implement approved changes, and keep reviewing the results. You should still understand its recommendations and set the business priorities, without having to organize an internal delivery team.

For the suspension-and-alignment question, either arrangement needs to reach the same practical decision: is there something worth correcting, who will do it, and who will check what happens afterward? The agency’s experience can support your own team in making that happen, or you can hire it to carry the work through.

FAQ

Can our existing SEO agency do this?

Possibly. Ask it to show how it reviews actual AI answers, makes decisions from the evidence, and checks results after implementation. Then establish whether it can help your team build those skills or whether you need it to execute the work for you. Our guide to choosing an AI visibility service provider explains how to evaluate the proposed work.

AI Search OptimizationAI VisibilityAgency Selection

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