AI SEO Tools Optimise Toward the Average, and That Is the Whole Problem

Content optimisation tools work. That is the awkward part of criticising them — the scores go up, the rankings often follow, and the dashboards look convincing.

The problem is what they are optimising toward. A tool that analyses the top ten results and tells you which terms to include is telling you to be the average of page one. If you follow the advice completely, you produce a page that covers the same terms, at a similar length, with a similar structure, as everything already ranking.

Which means you have not made a better page. You have made a page that is harder to distinguish from its competitors, in a SERP where the thing that earns the click is being distinguishable.

What the score actually measures

The score is a term-coverage metric. It counts how many of the terms that appear frequently in ranking pages also appear in yours, weighted by some estimate of importance. It does not measure:

• Whether the claim is correct.
• Whether the page answers the question the searcher had.
• Whether the reader trusts the source.
• Whether the page says anything the other nine do not.

All four of those are what actually earns a click and a link. The score is a proxy that correlates with ranking in a narrow set of cases and has been gamed to the point where a large fraction of the top ten for any commercial keyword are all optimised the same way.

This is why following an optimiser completely often produces a page that ranks briefly and then stalls: you have entered a pool of near-identical pages, and Google's job in that pool is to pick one, not to rank ten.

The three failure modes

Term salad. The page includes every suggested term, including ones that do not fit the argument, and reads like it was assembled rather than written. Readers notice this immediately even when they cannot name it. The bounce rate tells you.

Length inflation. The tools suggest a target length derived from the average of ranking pages. Since the average is inflated by one long page from a major publisher, the target creeps upward every quarter. A 1,200-word question gets answered in 2,000 words of padding.

Answering the query instead of the question. Term coverage pushes you toward covering every related term, which means the page becomes an encyclopedia entry. The searcher wanted to know whether to buy the thing. They get a definition and leave.

What the tools are genuinely good for

They are not useless, and it is worth being precise about the part that works:

• Finding the terms you missed. The gap analysis is real. If a ranking page consistently mentions a constraint you did not address, that is information.
• Competitor structure. Seeing how the top results are organised tells you what readers in that SERP expect, which is a genuine signal about intent.
• Prioritisation. Site-level tools that tell you which pages to write next, based on where you already have authority, are more useful than any per-page score.

Use them for research and structure. Do not use them as a target to hit.

The alternative that actually differentiates

The things that move a page above the optimised middle are the things no scoring tool measures:

A specific number nobody else has. Not "fast" — the actual measured time on the actual workload. This is the single highest-leverage addition to a commercial page, and it cannot be generated.

A named failure case. What went wrong, for whom, and what it cost. Every competitor writes the feature list. One page that describes the situation where the tool is the wrong choice earns the click and the link.

An opinion with a consequence. "Use A if X, use B if Y, and if you are in situation Z neither of these is right." Optimised pages refuse to commit because committing excludes terms.

Original structure. If the ranking pages are all listicles, write the decision tree. If they are all comparison tables, write the diagnosis. Matching structure is matching the average.

Notice that all four require information the model does not have. That is not a coincidence — it is why they work.

How to use an optimiser without being flattened by it

A workflow that keeps the benefit and avoids the term-salad outcome:

1. Write the page first, from your own knowledge, without opening the tool.
2. Run the analysis afterwards, as a gap check.
3. Add the terms that fill a genuine hole in the argument, and ignore the rest.
4. Delete any sentence you added only because it contained a suggested term.
5. Check the page against the actual question the searcher typed, not the keyword string.

Step 4 is the one people skip, and it is the one that determines whether the page reads like a person wrote it.

The related discipline is length. Answer the question in the space it needs, then stop. A page that is 400 words longer than the ranking average because it has 400 more words of substance will outrank them. A page that is 400 words longer because the tool asked for it will not.

Where this leaves the category

The expensive enterprise tools are worth it if you have a large content operation and need reporting and workflow — that is a different purchase from content quality, and it is a legitimate one. The mid-tier tools are worth it for the gap analysis alone, at their price.

What none of them do is make the page worth reading. That is still the part you do, and it is the part that decides whether the optimisation compounds or decays.

For tool-by-tool detail, the AI SEO tools reviews record what each one meters and where the entry tier runs out of credits. The Surfer SEO vs Frase comparison works through the credit economics of those two specifically, which is the axis where they actually differ.