A GEO tool becomes the standard in its field when four things are true at once: anyone can read its numbers without training, those numbers mean the same thing to everyone who looks at them, the price is low and predictable enough to be a default rather than a budget decision, and the first result arrives before the reader loses interest. Accuracy matters too, but accuracy alone has never been enough to make a measurement the one everybody uses.

Generative engine optimization, or GEO, is the work of being mentioned and cited when an AI assistant answers a question. The field is young, and there is still no official console that tells a site how often an AI assistant cites it. Every tool, ours included, estimates from the outside. This article explains the four properties we think will decide which estimate becomes the common reference, what we have built for each one today, and where our coverage still stops.

What makes software the standard in a new field?

In a new field, the standard tool is rarely the one with the most features. It is the one whose number people start quoting to each other. A marketer tells a founder “we’re at 40,” the founder repeats it to an investor, and an agency writes it into a report. Once a number travels like that, it becomes the shared language of the field, and every other tool is compared against it.

For a number to travel, it has to survive being passed along by people who never saw the tool that produced it. That puts practical demands on the tool:

  • The labels have to explain themselves. If the number needs a glossary, it will be misquoted.
  • The number has to be the same for everyone. If two people looking at the same site see two different results, there is nothing shared to talk about.
  • The price cannot make people ration it. A tool you check carefully once a quarter does not become a habit.
  • Starting has to be immediate. The first result is where most people decide whether a tool is worth a second look.

None of these is a measurement property. They are properties of how a measurement meets people. We think the field underweights them, because the early years of GEO have been about whether AI visibility can be measured at all. Our earlier article on why GEO resembles SEO before Search Console covers that measurement problem. This one is about what happens after the measurement exists.

Why should a GEO report read like plain English?

Most of the people who need an AI visibility number are not analysts. They are founders, marketing leads, and content writers who will look at a screen for a few seconds and decide whether something is wrong. If the screen speaks in statistical terms, they either misread it or ignore it.

So we choose labels that a first-time reader understands at a glance, and put the precise definitions one click away. Some concrete decisions:

  • Every AI score comes with a band and a sentence. The score runs from 0 to 100, and the console reads it in four bands, each with one sentence of meaning. Low (0–24): “AI barely mentions you.” Fair (25–49): “The site AI mentions most is far ahead of you.” Good (50–74): “The site AI mentions most is ahead of you.” Strong (75–100): “You are the site AI mentions most, or close behind it.” The bands are a reading aid on the same scale, not a second measurement, and the Method page publishes them in full.
  • “Mention share,” not “share of voice.” We renamed the metric because “share of voice” is advertising jargon and means different things in different tools. “Mention share” says what it is: your slice of all the mentions of competing sites in the same set of answers.
  • A rank, in plain numbers. Next to the competitor list the console shows where you stand, first, second, third, and the top three are marked in gold, silver, and bronze. A number like 18% is hard to feel. “Fourth, behind three competitors” is not.
  • To-do items that say what to do and where. The Actions page does not say “improve crawlability signals.” It says things like “Render the home page’s main content as HTML, not only through JavaScript” or “Add figures and cited sources to your home page.” Each item names the page and the change.
  • A date beside every score, and arrows only for real changes. AI answers vary from one run to the next, so every score shows when it was measured, and the console marks a score up or down only when the change is larger than that swing. Plain language does not mean hiding uncertainty. It means stating it in words a reader can act on.

The trade-off is precision. “Mention share” glosses over details that a statistician would want spelled out, and four bands flatten a continuous scale. We accept that, and put the exact definitions on the Method page, because a label that is precise and misread does more harm than one that is plain and understood.

How can a whole team look at the same AI visibility number?

A number becomes shared when two people can look at it separately and see the same thing. Most GEO tools are built around a private project: you enter your prompts, the tool runs them, and the result belongs to your account. That works for one analyst. It breaks down when a colleague, a client, or a manager wants to check the number for themselves, because their own setup would produce a different one.

We built the opposite way. Results are stored by domain, not by person. When anyone measures a site, everyone who later checks that same site sees the same measurement, with the same date, and the result does not show who asked for it. In practice:

  • Sharing a score means sharing a domain name. To show a client where their site stands, you tell them to open their site with the free extension. They see the number you saw. There is no seat to buy and no report to export first.
  • Competitors are measured on the same footing. Because every site is measured by the same rule, the competitor list is not a comparison of your carefully tuned project against someone else’s guess. It is the same measurement applied to everyone in the answers.
  • Each measurement helps the next person. A site measured once is available to everyone who checks it afterward. The more people use the extension, the more of the web already has a result waiting.

Privacy is what makes this possible. The extension sends only the registrable domain, such as example.com, and an anonymous ID. It does not send page content, full URLs, paths, or chat history. A shared number only works if nobody has to give up their browsing to contribute to it.

We extend the same idea to what we learn across sites. Our benchmark is published under a CC BY 4.0 license as JSON and CSV that anyone can download without an API key. It reports which improvement actions moved citations across participating sites, never naming a site, and it publishes a result only once at least five sites stand behind it. When we checked the live endpoint on October 21, 2026, it had not yet published any effect rows, because no action had reached that threshold. The method and the format are public now so that the numbers, once they arrive, can be checked and quoted by anyone.

What should GEO software cost?

A standard tool has to be cheap enough that using it is not a decision. But in GEO, the unit of price matters as much as the amount. Most tools we checked charge by the number of prompts, answers, or checks, and that turns every question you want to ask into a cost you have to ration.

Here is what the published price pages said when we checked them on October 21, 2026:

  • A dedicated AI visibility tracker’s Starter plan costs $300 a month, month to month, for 350 custom prompts and three user licenses.
  • Another dedicated tracker’s Starter plan costs $295 a month and includes 3,600 credits, where one credit is one AI response; extra credits are an add-on.
  • An SEO suite that includes AI visibility lists its Starter plan at $165.17 a month billed annually, with 50 prompts tracked daily for one domain.
  • Another SEO suite’s AI visibility index costs $199 a month for about 2,500 checks, with additional checks billed at $0.020 each.
  • A lightweight tracker starts at $29 a month for 15 search prompts, and its 100-prompt plan costs $189.

That last line matters: we are not the cheapest entry point in the category, and we do not claim to be. What we chose is a different unit. Our pricing is flat per tracked domain:

  • The extension is free. Anyone can measure a site once and see its score, its competitors, the questions, and the cited sources.
  • Pro is $50 a month for one domain measured daily in full.
  • Max is $150 a month for four domains, and each additional domain is $40 a month.
  • Paying yearly costs $500 for Pro and $1,500 for Max, which works out to two months free.
  • No credits, no overage, no per-engine fees. Every engine we measure is included at no extra charge, and the price does not change with how many questions are asked.

The reason for a flat price is behavioral, not just economic. When each prompt costs money, people track the few prompts they already believe matter, which is exactly where they are least likely to learn something new. When the price is fixed, the measurement covers the discovery questions in your market every day, and you never have to decide whether a question is worth paying for.

How fast should a first AI visibility check be?

Fast enough that curiosity does not run out. A standard tool is one people reach for without planning to, and nobody reaches for a tool that starts with a sales call, an onboarding form, or a list of prompts to write.

The extension is built around a single action:

  1. Open any public website and open the side panel.
  2. If the site has been measured, its AI score, Brand score, competitors, questions, and cited sources are already there.
  3. If not, press Measure this site. The result returns within about a minute.

There is no account to create for this, nothing to install on the website, and no prompt list to write. The extension chooses discovery questions for the site’s category, the kind of questions a buyer would ask before they know which brand they want, and measures against those. Our article on checking AI visibility in Chrome walks through the panel step by step.

The one-minute limit is a deliberate constraint, not a lucky benchmark. The first check exists to answer one question, “do AI answers cite this site or not?”, and to answer it while the reader is still looking at the page. Depth belongs to the tracking that follows, not to the first impression.

What are we not claiming yet?

A tool that wants to be the standard has to be clear about its limits, because a standard that overstates itself loses trust the first time someone checks. Here is where ours stands today.

  • One engine. Current measurement uses OpenAI API responses with web search. Results describe answers when the engine searches the web, and they can differ from what a person sees in their own ChatGPT app, which applies personalization, memory, and settings. Other AI providers are outside the current measurement scope.
  • Estimates, not rankings. Scores are estimates from sampled answers, measured as an anonymous person searching from the United States. They are not an official ranking and not a guarantee of traffic.
  • The benchmark is just starting. As described above, the public benchmark has its method and format published but no effect rows yet.
  • Sharing is through the measurement itself. Today a score is shared by sharing the domain. Exports, team seats, and scheduled reports are not part of the product yet.

None of this changes the bet. The four properties above do not depend on how many engines we cover. They decide whether a number becomes something people say to each other, and we would rather earn that with plain words, a shared measurement, a flat price, and a one-minute start than with a long feature list.

FAQ

Is this the cheapest GEO tool?

No. At least one lightweight tracker starts at $29 a month for 15 prompts. Our difference is the unit of price: a flat monthly price per tracked domain, $50 on Pro and less on Max, with no prompt, credit, or overage limits, plus a free extension that measures any site once.

Which AI engines does the measurement cover today?

Current measurement uses OpenAI API responses with web search. Results can differ from a personal ChatGPT conversation because of personalization and settings. The Method page explains the scope and how to read each result.

How do I share an AI visibility score with a client or colleague?

Send them the domain. Results are stored by domain, so anyone who opens that site with the free extension sees the same measurement, with the same date. They do not need an account to see it.

Does sharing a measurement expose what I browse?

No. The extension sends only the registrable domain and an anonymous ID. Page content, full URLs, paths, and chat history are never sent, and a measurement does not show who requested it.