A mid-size site can easily have 200 or more indexable pages, and almost nobody has the time to rewrite headings, add schema, and check citations on all of them at once. So most teams either freeze, or they start with whatever page they last edited, and six months in, still cannot say why AI answer engines cite some pages and ignore others.
AEO is the practice of structuring a page so an AI agent like ChatGPT or Perplexity can confidently lift and cite it as a source, and that structural work has a cost per page. AEO Excellence's four-stage audit methodology exists precisely because most sites cannot fix everything in one pass, so the order you work in matters as much as the work itself.
Get the order wrong and the failure is quiet: three months of schema edits and heading rewrites go into pages nobody asks an AI agent about, while the handful of pages that actually decide a purchase sit untouched. Fix the order first and every hour of AEO work after that compounds instead of scattering.
Which pages should you optimize for AEO first?
Start with pages that already rank in Google for a question-shaped query but pull no AI citations for that same question. Those pages have proven demand; they just lack the structural signals an AI agent needs to quote them with confidence.
A page with zero Google traffic is a poor first candidate no matter how well you structure it, because there is no underlying search demand for the model to match it against. Sequence by proven demand first, then by how close a page already sits to being buyer-ready.
In practice this usually means a "Product A vs Product B" page or a "how do I configure X" doc page outranks a generic company blog post for priority, even if the blog post gets more raw traffic. The comparison page sits one click from a purchase decision; the blog post is further upstream and can wait a cycle.
How do you know if a page is already getting AI citations?
Run your top 10 category questions through ChatGPT, Perplexity, and Google AI Overviews, and note which domains get named for each one. If your page never appears, it is a candidate for the first pass; if it already appears sometimes, it may only need a small structural fix rather than a full rebuild.
Server log review adds a second signal: check for GPTBot, ClaudeBot, and PerplexityBot hits against a page's access log. AEO Excellence's FAQ page notes that GPTBot typically recrawls a mid-size site every 2 to 7 days, so a page with no crawler hits in two weeks is not even being considered for citation yet. The blog's crawler-tracking guides walk through reading those logs line by line.
A third, cheaper signal is your analytics referral data: a page that already sends a trickle of traffic from chat.openai.com or perplexity.ai is proof an agent found it once, even without a full citation audit. Treat that trickle as a green light to invest further, not a reason to stop.
A framework for ranking pages by AEO priority
Once you know which pages already have demand and which already get crawled, sort them into a simple priority table before you touch any code.
| Page type | Buyer-intent signal | Priority |
|---|---|---|
| Comparison or "vs" pages | Reader is close to a decision | High |
| "How do I…" product or docs pages | Reader is mid-evaluation | High |
| Definition or explainer pages ranking on Google | Reader is early, but demand is proven | Medium |
| Support and FAQ pages | Reader is already a customer | Medium |
| Pages with no Google traffic | No proven demand yet | Low |
The table is deliberately short. A framework you cannot hold in your head is one nobody applies consistently past the first week.
Notice that traffic volume alone is not the sort key. A support page can outrank a comparison page on raw visits and still sit in the medium tier, because the reader has already bought and an AI citation there helps retention more than revenue. Sort by where the reader stands in the decision, not by which page's analytics look most impressive in a monthly report.
What steps turn this framework into a working priority list?
The framework only helps once it is applied to your actual page list, not left as an abstract idea. Budget an afternoon for the first pass; the list gets faster to maintain once it exists.
- Export every indexable URL from your sitemap or CMS.
- Pull each page's Google Search Console impressions for question-shaped queries.
- Test your top 10 category questions across ChatGPT, Perplexity, and Google AI Overviews, and note which pages get cited.
- Mark every page that has search demand but zero citations as tier one.
- Sort the remaining pages using the priority table above.
- Work tier one to completion before starting tier two.
A page counts as done when it has a plain-language definition sentence near the top, at least one question-shaped heading answered in its first two sentences, and matching schema markup. Re-test the same top 10 queries a month later to confirm it moved.
What if you have hundreds of pages and no time to prioritize manually?
At a certain page count, manual log review and query testing stop scaling, and that is the exact point where a structured audit earns its cost. AEO Excellence runs a 30-point evaluation across schema, llms.txt, AGENTS.md, headings, and crawler permissions, and returns a prioritized page list instead of a generic checklist.
You can still do the work yourself with the steps above; the audit mainly buys back the hours spent testing queries and reading logs by hand. Either path uses the same underlying framework, so nothing here locks you into a vendor to get value from it. The deliverable is a ranked list plus the specific schema and heading fix each tier-one page needs, not a vague recommendation to "improve AEO." Read the full breakdown of what an audit checks on the AEO FAQ page.
Is a paid audit worth it if you could prioritize pages yourself?
Cost is the real objection, and it deserves a direct answer rather than a dodge. A homepage-level audit runs $299 to $599 and full implementation runs $799 to $1,499, according to AEO Excellence's own pricing; for a site under 50 pages, doing the framework above by hand is genuinely cheaper and will get you most of the way there.
The math changes past a few hundred pages, where the hours spent on manual query testing and log review start to cost more, in salaried time, than the audit itself. There is no lock-in either way: the priority list and the schema work stay on your site whether you build them yourself or pay someone to build them faster. The only real risk is spending audit money on a site with fewer than a dozen pages that mattered enough to sort by hand in the first place.
What should you do next?
Pick your ten highest-traffic, question-shaped pages, run them through the tier-one test above, and fix the ones with demand but no citations first. AEO Excellence's FAQ page notes that most sites see a meaningful citation lift within 14 to 30 days of shipping a complete AEO foundation, so a tier-one page finished this week is a fair test by next month.
If you would rather skip straight to a prioritized list, request a free homepage audit and get the tier breakdown back within a day.