Choosing an AI Visibility Platform: What to Check Before You Pay

Open five AI visibility platforms and you will see five dashboards with a score, a trend line, and a list of competitors. In a sales demo they all look convincing, because the demo data is chosen to look good.

The differences show up later, when you try to use the tool on your own business. So instead of ranking brands, it is more useful to know which capabilities to test.

Different AI engines pull from different sources and recommend different businesses. A platform that merges them into one number can show you a healthy score while one major engine never mentions you.

Ask to see results split by engine. If the tool can only give a combined figure, treat the score as a rough guide, not a measurement.

A platform is only as good as the questions it asks. Check whether you can add your own prompts, include your city or niche, and phrase them the way a real buyer would.

Be wary of tools that run a fixed generic prompt list. Your customers do not ask generic questions.

Knowing that you were not named is step one. Knowing which pages the engine cited instead is what tells you what to do about it.

Look for a view that lists the sources behind each answer, so you can see whether competitors are winning on reviews, directories, their own site, or a third-party article.

You should be able to name the businesses you actually compete with and see how often each one appears next to you. Share of voice across a set of questions is the number most owners care about once they see it.

Being named is not enough if the description is wrong. Good platforms flag when an engine gets your services, location, or pricing wrong, so you can correct the underlying sources.

AI answers change from week to week. A tool that only shows today's snapshot cannot tell you whether your work is helping. Check how far back the history goes and how often it refreshes.

This is the biggest divide. Many platforms stop at the report and leave the fixing to you. Others turn findings into tasks: update this page, publish this FAQ, fix this listing.

Decide up front whether you have the time and skill to act on a report yourself. If you do not, a tool alone will not move your numbers.

If you manage several clients, look for separate workspaces, white-label reports, and sensible per-client pricing. Some tools charge as if every client were a separate enterprise.

Write ten real questions a buyer would ask, including a few with your city in them. Run those through any trial instead of the demo set. Then check four things: does it show you by engine, does it show the cited sources, does it track the competitors you named, and does it tell you what to change.

If a vendor will not let you test your own questions, that tells you something.

Profound, Otterly, and Semrush's AI tools are the names you will run into most. They are reporting tools, and some are good ones. OMG scores each model separately instead of inflating a union number, then does the work for you on the higher plans.

Starter is $99 a month, Pro is $249, and Done For You is $599, with Enterprise at $2,499. The Done For You plan publishes llms.txt and robots.txt updates and queues blog and FAQ drafts for your approval. Agencies get white-label support across multiple clients.

Not sure where you stand? The free one-off audit at optimizemygeo.com shows your baseline in about a minute.