AI Readiness

What AI Visibility Tools Measure, and What They Miss

A new category of software promises to tell you whether AI recommends your business. For a local shop, it measures the wrong thing.

By Harrison Painter July 23, 2026 Updated July 23, 2026 5 min read

A new kind of software promises to tell you whether AI recommends your business. Investors have put roughly $190 million behind it in about a year and a half. One company in the category is now worth a billion dollars.

Almost all of that money chases one customer: the marketing team at a large company. If you run a 12-person HVAC shop or a two-truck plumbing business, none of these tools were built for you. And the number they report would not tell you the one thing you need to know.

Here is what these tools measure, what they leave out, and what a local business should watch instead.

What are AI visibility tools?

AI visibility tools track how often an engine like ChatGPT, Perplexity, or Gemini names your brand when someone asks it a question. The category goes by a couple of names. Answer engine optimization, or AEO. Generative engine optimization, or GEO. The promise is the same across all of them. They watch the machines and report whether you show up.

It is a real problem. More buyers now ask an AI who to hire before they open Google. So a tool that watches those answers sounds like something every business needs.

Read the fine print, though, and the fit gets thin for a small local company.

How much money is behind them?

A lot, and it arrived fast.

Profound is the leader. In February 2026 it raised $96 million at a $1 billion valuation, which brought its total to about $155 million. It reports more than 700 enterprise customers, including close to 10% of the Fortune 500. Target and Walmart are on the list.

Peec AI, based in Berlin, has raised about $29 million and passed $4 million in yearly revenue. Promptwatch, a European rival, raised roughly 6 million euros and reached 2 million euros in yearly revenue about a year after launch.

$190M

Roughly the total raised across the AI-visibility category, most of it in the last eighteen months. That is a lot of pressure to sell software.

Source: Fortune, 2026

Add up the disclosed raises and the category has pulled in roughly $190 million, most of it in the last eighteen months. That is a lot of pressure to sell software.

What do these tools measure?

The answer is narrower than the pitch. Almost all of them stop at visibility.

They count mentions. They report a share of voice against your competitors. They give you a citation count and a visibility score. A few reach further and estimate the traffic an AI answer sent to your site.

Almost none of the self-serve dashboards reach the number a business owner runs on: booked work. The report ends at "you got mentioned." What happened after the mention is left to you.

Why a mention is a weak number for a local business

For a service business, most AI answers never turn into a website visit.

Think about how it works. Someone asks ChatGPT for the best electrician in their town. The engine answers inside the chat. The person reads the answer and picks up the phone. They never click through to anyone's website. No visit shows up in your analytics. The whole thing happens off your dashboard.

So a tool that counts mentions and clicks can look busy while your real result, the call, stays invisible to it. Only one of the two pays your crew on Friday.

A mention is the beginning of the story. The phone ringing is the end of it.

Where the category is headed

Every funded player is climbing toward bigger customers.

Profound sells to Fortune 500 marketing departments that already have in-house analysts. Peec is chasing the same room. The pricing assumes a marketing team. The product assumes someone on staff to read the charts and act on them. The sales pitch assumes a budget line for AI search analytics.

None of the funded players is building down toward the contractor with no marketing department at all. And the distance between where the money is going and where a Main Street business lives keeps widening.

What a Main Street business should measure instead

Start with the outcome, then work backward.

The real question is simple. Did more calls, forms, and booked jobs show up because AI recommended you? Tie the visibility number to the phone. If mentions climbed and calls did not, the mentions were decoration.

Ask for a method you can read. A number is only as trustworthy as the way it was built, and a good measurement states its own limits up front. As of today, no one selling AI-visibility software to local service businesses publishes a standing method that lays out what its score can and cannot tell you, or ties that score to leads. That is a low bar the whole category has left on the floor.

And own what you build. If the value lives inside someone else's dashboard, canceling the software means the screen goes dark and you keep nothing. The pages, the content, and the customer relationship should be yours whether you renew or not.

Knowing which number to trust is a skill, not a setting. In the 7 Levels of AI Proficiency, the person who designs for the real outcome instead of the easy vanity number is working at Level 5, the Design Thinker. That judgment is the part no dashboard sells you.

This is the approach we take with Get Found. We measure the recommendation rate, we tie it to the calls and forms it produces, and we publish our method, including what the score cannot tell you.

Where to start

Pick the one question a customer would most likely ask an AI engine about your kind of business. Ask it yourself in ChatGPT and Perplexity this week. Write down whether you were named, and next to it write down how many calls you got. That pair, the mention and the call, is your real baseline.

Then decide what you will hold the work to. Mentions make a nice chart. The phone pays the bills.

If you want to see the method we use to measure AI recommendations and tie them to real leads, we publish it at getfound.launchready.ai/methodology.

Related reading: Level 5: The Captain (Design Thinker).

Sources

  1. As AI threatens search, Profound raises $96 million to help brands stay visible (Fortune)
  2. Profound raises $96M at $1B valuation for AI discovery monitoring platform (SiliconANGLE)
  3. As consumers ditch Google for ChatGPT, Peec AI raises $21M to help brands adapt (TechCrunch)
  4. Exclusive: Peec rival Promptwatch raises seed round (Sifted)

Frequently Asked Questions

Are AI visibility tools worth it for a small local business?

For most, not yet. They were built for enterprise marketing teams, and the number they lead with is mentions, while a local shop runs on calls and booked jobs. Track the phone first. Add a tool later only if it reports the real outcome: the calls it produced.

What is the difference between a mention and a lead?

A mention means an AI engine named you in an answer. A lead means a real person contacted you. For a service business, most AI answers never become a click, so mentions can rise while your calls stay flat. The lead is the result you can bank.

How can I tell if AI is recommending my business?

Ask the question a customer would ask. Type best [your trade] in [your town] into ChatGPT, Perplexity, and Gemini, and see whether you get named. Do it once a month and write down the result. That costs nothing, and it is the same core check the paid tools automate.

Harrison Painter, Executive AI Advisor
Harrison Painter
Executive AI Advisor. Founder, LaunchReady.ai and AI Law Tracker.

Harrison is an Indiana AI Advisor who helps business owners and executives get their time back by building AI systems that run the work for them. Nearly 20 years in business and author of You Have Already Been Replaced by AI. Creator of The 7 Levels of AI Proficiency.

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