Comparing GEO Tools in 2026: What's Actually Worth Paying For

A year ago, tracking whether ChatGPT or Perplexity mentioned your business was a niche ask. Now it's a checkbox feature on half the marketing dashboards on the market, plus a wave of dedicated startups built around nothing else. That happened because the buyer question changed fast: people stopped typing into Google and started asking an AI model directly, and businesses noticed their name wasn't coming up.

The problem with a crowded, fast-moving category is that most of the new entrants are copying the surface of the idea, a score, a chart, a weekly email, without doing the harder work underneath. Picking a tool right now means knowing what's actually different between them, because from a screenshot, most of them look the same.

Almost every GEO tool leads with a single visibility score. The problem is how that number gets built. Most vendors use what amounts to union math: if any one AI engine mentions your brand for a given question, that question counts as a win, full stop, regardless of what the other engines said.

Say you're tracked against ChatGPT, Gemini, and Perplexity. ChatGPT names you constantly. Gemini barely does. Perplexity never has. Union scoring still hands you a score in the 70s or 80s, because it's counting the best-performing engine as the whole result. That number tells you almost nothing about where you're actually invisible.

The alternative is scoring each engine separately and showing the breakdown, not a blend. That's the difference between a tool telling you you're doing fine and a tool telling you the truth, which is that you're strong on one engine and a ghost on two others.

A chunk of the GEO tools showing up right now are existing SEO platforms that added an AI-mentions tab. That's not automatically bad, but it means the underlying product still thinks in terms of keywords and rankings, concepts that don't map cleanly onto how an AI model decides what to cite.

AI engines aren't ranking a list of ten results and letting a user pick. They're generating one answer and deciding, sentence by sentence, whether your business is worth naming. A tool built for that reality tracks citation patterns, source consistency, and structured content extraction, not just keyword density. A tool bolted onto an SEO product tends to keep measuring the old signals and calling the output GEO.

The tell is usually in what the tool recommends fixing. If every suggestion is still about backlinks and meta descriptions, you're looking at SEO software wearing a GEO label.

Building a dashboard that tells you an AI model didn't mention your business is, at this point, a solved problem. A dozen vendors can do it. What almost none of them do is the next step: actually closing the gap the dashboard surfaces.

That gap usually requires specific, unglamorous work. Rewriting a service page so the facts are extractable instead of buried in marketing language. Publishing an llms.txt file. Fixing a robots.txt that's accidentally blocking a crawler. Getting FAQ content live that answers the exact unbranded questions buyers are asking an AI model. None of that happens by staring at a chart.

Most GEO tools stop at the report and leave that list of fixes for you, or your agency, to execute manually. That's a real gap in the category right now, and it's worth asking directly in a sales call: does this tool just tell me what's wrong, or does it also do something about it.

Profound built an early lead in enterprise AI visibility monitoring, with a strong focus on tracking brand mentions across ChatGPT and other major models at scale. It's a solid measurement product for larger organizations that already have a content team ready to act on findings.

Otterly.AI leans lighter and more accessible, tracking AI search visibility with a simpler setup aimed at smaller teams. It's a reasonable starting point if you want a baseline reading without a big commitment.

Semrush has folded AI visibility tracking into its existing SEO suite, which is convenient if you're already a Semrush customer, but it inherits the SEO-first thinking described above. Worth checking whether its recommendations actually differ from its traditional keyword tooling.

None of these are wrong choices. They're just answering a narrower question, are we being mentioned, than the fuller question most businesses actually need answered, which is are we being mentioned, why not, and what do we do about it this week.

Is the score per-model or blended? If a vendor can't answer that clearly, assume blended, and assume it's flattering you.

How many AI engines does the panel cover, and can you see them broken out individually, not just averaged together?

What happens after the score. Do you get a list of specific fixes, drafted content, or technical files ready to publish, or just a chart to stare at?

How are questions sourced. Realistic, unbranded buyer questions tell you far more than a handful of branded ones like "is [my company] good."

Is there an agency or multi-client option if you're managing GEO for more than one brand?

OMG runs per-model scoring by default, not as an upgrade, so every plan shows the actual breakdown across engines instead of one blended number. Base plans cover a 2-3 engine panel, with Enterprise expanding that further for larger accounts.

The part that sets us apart from most of the list above is what happens after the score. Our Done For You plan and the $399/mo Do It For Me add-on don't stop at diagnosis. llms.txt and robots.txt publish automatically once approved, and blog and FAQ drafts get queued and written specifically to close the gaps the scoring found, ready for a quick approval before anything goes live. You're not buying a report and a to-do list you have to execute yourself. You're buying the report and the team that closes it.

Agencies managing multiple client accounts also get white-label reporting and multi-client management, so this can run under your own brand instead of ours.

Starter runs $99/mo with a 2-3 engine panel, Pro is $249/mo with wider coverage, and Done For You is $599/mo including the automated execution work. Enterprise is $2,499/mo for larger or multi-location brands. The Do It For Me add-on layers onto any plan at $399/mo.

If you're not sure which tool fits, or just want an honest baseline before shopping around, run the free audit at optimizemygeo.com. It'll show you a real per-model breakdown so you're comparing tools against your actual numbers, not a vendor's demo screenshot.