Before you buy an AI visibility service

Before buying an AI visibility service, ask the provider to name the work, show the evidence behind it, and explain what its report measures. "We will clarify these service pages" is a commitment you can inspect. "We will make every chatbot recommend you" is a much larger promise.

Useful work can involve website access, accurate business information, eligible profiles, and supported content. The label on the proposal matters less than whether you can tell what will change and what remains outside the provider's control.

A listing in which system?

If someone offers to "list your business in AI," ask for the actual platform and record type. Is this a business profile, a search-index submission, a product feed, an advertisement, or something else?

Those can be legitimate, distinct services. They should come with a named destination, applicable eligibility rules, and a clear account owner. They should not be presented as one universal registration that controls every assistant.

OpenAI's Search documentation describes website eligibility through searchbot access and says placement is not guaranteed. Ask a vendor making a stronger claim to show the current primary source that supports it.

Does the guarantee cover the work or the answer?

A provider can commit to delivering an access review, correcting approved facts, or reporting a defined set of observations. It can document which pages changed and supply before-and-after records.

A promise of a fixed recommendation position needs much more scrutiny. Ask which question, product, mode, location, and time the promise covers. Ask what happens when the answer changes or the customer asks a different question.

You are looking for accountable delivery, not confident language that hides an undefined result.

Is a special file doing all the supposed work?

Google says that AI Overviews and AI Mode do not require new AI text files or special schema. Existing search fundamentals remain relevant.

That statement applies to Google's named Search features. It does not prove a file is useless for every purpose or every product. It does mean a proposal should explain a specific need instead of saying "AI likes this."

Ask what problem the technical change fixes, how it will be checked, and why it comes before missing service information or blocked pages. Valid markup cannot make an inaccurate business description true.

Where does the proposed evidence come from?

Ask the provider to distinguish independent coverage from paid placements, self-published material, and copies of a press release. Those are not interchangeable sources of trust.

Reject invented reviews and planted customer stories. For links, Google's spam policies distinguish legitimate advertising and sponsorship from links created to manipulate rankings. That is Google's policy scope, not a universal explanation of every AI platform.

A useful proposal names the content or outreach work and its approval process. It does not need to promise a manufactured consensus about your business.

Can you inspect the score?

A readiness checklist records completed checks. A prompt-panel result records selected answers. A business result records something such as a qualified inquiry. One number should not blur them together.

Ask for the questions, products, dates, underlying counts, missing observations, and full answers. Were questions naming the business mixed into unbranded discovery? Were unfavorable answers retained? Did the report count a citation as a recommendation?

The distinction between citations and recommendations is especially useful here. A cropped screenshot may document one flattering sentence while leaving out the question that prompted it.

Do I need an expensive tracking tool first?

Not necessarily. A documented manual review can establish a modest baseline. A tool may make collection easier, but its score still needs a definition and evidence. Choose the workload and decision first.

What should the proposal leave me with?

Ask for a written scope, the records you receive, who owns the accounts and content, how changes are approved, and the reporting limits. Clarify recurring charges and cancellation terms before agreeing. For contract-specific legal questions, get appropriate advice rather than relying on a marketing checklist.

For the underlying work, start with the search-readiness guide. If the proposed work goes beyond your website foundation, start a System Audit conversation to define the problem before a custom build is scoped. LeadSpark does not promise a particular AI recommendation or search ranking.