There is a particular kind of page that frustrates every marketing team: it ranks reasonably, it reads well, a human would call it good — and no AI platform ever cites it.
Nothing is wrong with it in the terms your SEO tool understands. The problem is that it was written to be read, and assistants need something slightly different: a page they can lift a clean, self-contained answer out of.
Content Audit scores your pages on that second thing.
The audit scores each page across nine dimensions. Some of them are familiar; four of them are the reason this exists.
The screen opens with Audit a Page and a single URL field — the placeholder shows the shape it expects, a full URL down to the specific post. Paste one page, press Audit Page, and it moves through Queued, then Analyzing…, then a finished result.
Audits are per page, not per site, and that is deliberate. You are choosing what gets examined, so the choice matters more than the volume — a point worth returning to below.
The scores are diagnosis; the recommendations are the prescription. A run you never re-audit is half a run — you never learn whether the change registered.
Each finished audit reports an Overall Score plus eight component scores. They fall into three groups:
Titles, structure, crawlability, speed. If these are weak, fix them first regardless of anything else: a page an assistant cannot fetch cleanly cannot be cited no matter how good the writing is.
Depth, clarity, and the experience-expertise-authority-trust signals that tell a model whether this source is safe to repeat. E-E-A-T is where author information, specifics and evidence get counted.
These are the dimensions no traditional tool reports. AEO asks whether the page answers questions outright. GEO asks whether its passages survive being lifted out and reused. Structured Data asks whether the facts are stated in a machine-readable form as well as prose.
Read the spread, not the average. One low score among eight strong ones is a targeted fix; five middling scores is a page that needs rewriting rather than editing.
Alongside a page's own score the screen shows a Site Average across everything you have audited, and a Page audits list of previous runs.
The average is useful as a baseline and dangerous as a target, because it only reflects the pages you chose. Audit five of your best pages and the average flatters you; audit five weak ones and it panics you.
Use it for one thing: comparing a page against your own site rather than against an abstract standard. A page ten points below your average is a real outlier. A page ten points below a hundred is just a page.
ApexaRank.ai scores any page on nine dimensions — including the AEO, GEO and structured-data checks ordinary SEO tools do not run — and tells you what to change.
CHECK YOUR AI VISIBILITYBelow the scores sits the part that produces work. Recommendations are grouped by category — SEO, Content, Technical, Structured Data, AEO, GEO, E-E-A-T, AI Visibility, Performance — and each carries a priority of critical, high, medium or low.
Grouping by category rather than by priority is intentional: it puts related fixes next to each other, so you do one pass over schema rather than jumping between unrelated tasks. But the priority tag is what decides order within your week.
Each recommendation also shows occurrences — how many audited pages share it. That number is the closest thing this screen has to a shortcut.
Occurrence count is the multiplier. A high-occurrence issue is usually cheaper per page to fix than a one-off, because the cause is upstream of the content.
Open a recommendation and it gives you three things in order: the issue, why it matters, and the fix.
Most people read the issue and jump to the fix. The middle one is the part that saves time:
Skipping the "why" is how teams end up implementing advice that does not apply to their page.
Not every recommendation deserves action. A schema note on a page that will never be an answer target is a legitimate skip. The reasoning is what lets you make that call instead of grinding through the list.
Since audits are per page, choosing well is most of the value. Four categories are worth auditing before anything else:
Technical and performance issues that stop a page being read cleanly outrank everything else. Nothing further down matters on a page an assistant gives up on.
Take every high-occurrence recommendation and fix it at the template level. This is the single highest-leverage hour in the whole process.
AEO and GEO scores move when the page states an answer plainly, near the top, under a heading that matches the question. That is usually an edit of two paragraphs, not a rewrite.
Compare the new scores against the old. If a dimension did not move, the change did not land the way you assumed — better to learn that now than three months later.
A blog post, a service page, a comparison, the homepage. Template coverage beats page count.
Filter mentally to critical and high. Medium and low are for a later pass.
An issue appearing on many pages is a template fix — the cheapest work on the list.
The reasoning tells you whether the fix applies to your page or is generic advice.
One low score among eight strong ones is a targeted problem, not a rewrite.
Same URL, after publishing. It is the only way to confirm the fix actually registered.
The composite hides which dimension is broken. Two pages scoring 62 can need completely different work.
A hundred audits produce the same twelve recommendations with bigger occurrence counts, and a list nobody finishes.
Read the reasoning and skip what does not apply. A shorter list you complete beats a full one you abandon.
Without a second run you are guessing about whether anything improved — and the second run is the cheap half.
See where you stand, uncover visibility gaps, and discover what to improve next.
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