Most GEO tools score pages. AI answers score reputation.

Most GEO tools are selling the easy part.

Run a scan. Get a score. Fix the page. Watch the dashboard.

That workflow feels comforting because it looks like SEO. It turns AI visibility into something tidy and controllable. But the more I look at the market, the more obvious the gap becomes: a lot of these tools are really on-page checklists with new branding.

And AI answers do not behave like a neat checklist problem.

A Hacker News founder behind LocalPDF said ChatGPT was driving about 50% of the product's traffic while Google was at roughly 45% (source). The same founder also said ChatGPT traffic converted about 2x better than Google traffic (source).

That should change how people think about GEO.

If AI traffic is already that meaningful for a small product, then yes, visibility matters. But it does not automatically follow that another page grader is the answer. Traffic showed up because the product became worth mentioning in the places and workflows that AI systems pull from. That is a distribution and trust story, not just a metadata story.

A lot of the current GEO category still acts like one more audit will solve it.

One Indie Hackers founder said his GEOScore AI scanner checks 11 specific GEO signals (source). Fine. I like instrumentation. I like diagnostics. But a list of signals can only tell you whether your page is shaped correctly. It cannot tell you whether the market sees your brand as a credible answer.

That distinction matters more than most tool pages admit.

Even the marketing language gives the game away. On Hacker News, one founder described the shift like this: "We built this tool because we're seeing that LLMs are becoming the main way people compare brands when making buying decisions, even before visiting your site." (source)

I think that part is right.

But if buyers are comparing brands inside LLMs before they ever land on your site, then GEO cannot stop at the site. The winning surface is the evidence layer around the site: discussions, comparisons, citations, repeated claims, and whether your brand keeps showing up in threads people actually read.

That is why I am skeptical of GEO pages that promise visibility after a better audit score.

Look at what gets attention in the tool market. AI Visibility Rank Tracker had 144 Product Hunt points when the research brief was compiled (source). That is not trivial. People clearly want monitoring. They want to know whether ChatGPT, Gemini, or other answer engines mention them.

Fair enough. Monitoring is useful.

But monitoring is not the moat.

Benjamin Thornton put the problem plainly on Product Hunt: "Unlike Google, however, these platforms offer no visibility into how, when or why your content gets surfaced, making it difficult to track performance or optimize effectively." (source)

Exactly. That is the whole problem.

When a category is that opaque, the temptation is to over-focus on what is measurable. Scan the page. Count the entities. Compare the headings. Generate a score. Ship a report.

The trouble is that buyers do not experience your brand as a report.

They experience it through the traces your company leaves across the web.

A skeptical r/SEO thread captured the backlash well. The thread argued that "the same tricks that got you AI/SEO visibility will now get you penalized," and the strongest comments said fake-neutral "best tool" threads plus fresh accounts dropping the same brand name are getting easier to spot (source). That is the other side of the market right now: everyone can see the spam pattern forming.

So the contrarian take is not that GEO is fake.

It is that most GEO tooling is incomplete.

Here is the technical split I keep coming back to:

1. On-page GEO helps a model parse what you already published.
2. Off-page evidence helps a model trust that what you published is worth repeating.
3. Community discussion helps a model encounter your brand in the first place.

Most vendors are strong on the first point. Few say much about the second. Even fewer have a real answer for the third.

That third layer is where the hard work lives.

You do not win it with one schema patch. You do not win it with another generated comparison page. And you definitely do not win it by spraying coordinated brand mentions into fake forum threads and hoping nobody notices.

You win it by becoming discussable.

That means publishing claims that survive scrutiny, showing up in threads where the topic already exists, answering with enough specificity that people quote you later, and giving the web multiple paths back to the same idea. A clean page still matters. Of course it does. But clean pages without credible discussion around them feel a lot like empty packaging.

This is also where ReddGrow's thesis is different from the average GEO scanner.

SEO is dead if all you mean by SEO is polishing your own site and waiting to be discovered. You do not exist in AI answers when your brand is absent from the places answer engines already trust. Reddit is one of those places. So are discussion-heavy communities where products are compared in public and where people leave language behind that models can retrieve later.

That is the layer most competitor pages keep waving past.

They sell visibility scoring. The harder problem is visibility formation.

If I were tearing down a GEO stack today, I would keep the scanner. I would keep the tracker. But I would stop pretending those are the strategy. They are diagnostics.

The strategy is whether your brand keeps earning authentic mentions in the conversations that shape AI retrieval.

That is messier. Less automatable. More human.

It is also where the real moat is.