What does page optimisation answer for you?
It answers a practical question. Is each page on your site easy for AI engines and Google to read, understand and trust? A page can have good content and still miss the basics that help an engine use it.
The term page optimisation refers to scoring a page against the signals AI engines and Google weigh, such as structured data and headings.
Page optimisation checks those basics one page at a time. It tells you what passes, what fails and what to fix. It suits the pages that matter most, such as your service pages, location pages and the pages AI engines already cite.
How does page optimisation work?
It crawls your site, scores each page and gives you a fix list.
- Crawl the site. The site crawler finds your pages.
- Analyse a page. Each page gets 59 checks across on-page SEO, technical SEO, content quality, internal linking, E-E-A-T and GEO signals. The first analysis costs 50 credits.
- Read the results. Every check shows a pass or fail, so you can see the gaps at a glance.
- Work the fix list. Failures come with a fix, so you know what to change.
- Track the changes. The optimisation checklist for each URL records who did what and when.
Which signals are checked?
59 checks are run on every page, in six groups. The table shows what each group covers and why it matters.
| Group | What it covers | Why it matters |
|---|---|---|
| On-page SEO | Title, meta description, headings, URL and keyword use | Shapes how the page appears in results and what it says it covers |
| Technical SEO | Canonical tag, noindex, HTTPS, social tags, structured data and broken links | Decides whether engines can fetch and read the page at all |
| Content quality | Length, image alt text, lists, a summary, a visible date and sources | Decides whether the page actually answers the question well |
| Internal linking | Links in and out to your other pages, anchor text and orphan pages | Helps engines find the page and see how it fits the site |
| E-E-A-T | Author and bio, organisation name, contact details, reviews and trust signals | Shows who is behind the page and why it can be trusted |
| GEO signals | A direct answer, an FAQ, sourced figures, clear definitions, question headings and whether AI answers cite the page | Makes the page easy for AI engines to understand and quote |
Analysed pages are checked again every week at no credit cost, so the scores stay current as pages change.
None of this is new to good SEO. What has changed is how much it matters that a page is clear and easy to quote. AI engines lift short, plain answers. A page that buries its answer is harder to use.
How do you fix missing schema?
The schema generator builds copy-paste JSON-LD for a page. It covers Organization, Article, FAQPage, LocalBusiness, Service and BreadcrumbList. LocalBusiness can include your address and rating from Google Business Profile.
It only builds types the page does not already have, so you don't end up with duplicates. It uses no AI and no credits.
To see where schema is missing across the whole site, the schema audit lists every analysed page with the types it has and the types it is missing. It looks at what kind of page each one is. The home page should have Organization or LocalBusiness and WebSite, articles should have Article, contact and branch pages should have LocalBusiness, and inner pages should have BreadcrumbList. Pages with the most gaps sit at the top, and the list exports to CSV. Our guide on schema markup for AI search explains which types are worth adding and why.
What else helps a page get used?
A few other tools sit close to page optimisation. The entity audit looks at the whole site, not one page. It rebuilds the entity graph your site publishes and returns scored findings with the fix. There is also a free version at /entity-audit that anyone can run.
AI crawler analytics reads your server access logs. It shows which AI bots visit, how often and which pages. If an important page is never crawled, that is worth knowing before you spend time on it.
An llms.txt file can help too. It gives AI tools a short, plain list of your most useful pages. Axiom GEO builds one from the pages it already knows for each client, under Content and then llms.txt, and there is a free llms.txt generator for any site.
What do you see on screen?
You see a list of your pages with a score for each one. Open a page to see every check, its pass or fail and the fix. The checklist sits alongside it, with a record of who made each change and when.
That record helps when more than one person works on a site. It also helps agencies show a client exactly what was done.
Why does page optimisation matter for AI search?
AI engines need pages they can read and quote with confidence. If your page is unclear, out of date or missing structured data, an engine may pick a competitor's page instead. Fixing the basics gives your content a fair chance.
It is only one part of the picture, though. Engines also weigh what other sites say about you. So it helps to pair page fixes with AI citation tracking, which shows the sources the engines already trust.
Which pages should you start with?
A good place to start is the pages that earn you money, such as service, product and location pages. Next, look at the pages AI engines already cite. URL mentions in citation tracking shows which ones those are, and small fixes there can protect what you have.
Then look at important pages that are never cited. Compare them with the pages that are. Often the gap is something simple, like a buried answer, missing structured data or content that hasn't been updated in a long time.
Who uses it?
In-house teams use it to work through key pages in order. SEO consultants use the fix lists as a clear scope of work. Agencies use the checklist to record changes across client sites.
Where it fits
Page optimisation often follows content opportunities, which show which pages to work on. The schema generator fixes missing structured data. The entity audit and AI crawler analytics cover the site as a whole.