Structuring content so AI engines can cite it
You probably do not need new content. You need the content you have to survive being chopped into pieces.
Restructuring an existing page for citability takes an editor about forty minutes. Producing a replacement takes days. Given that most sites already hold plenty of genuinely good material, restructuring is nearly always the better first move.
Here is the checklist we run on managed accounts, in the order we run it.
1. Put the answer in the first sentence under every heading
Not the second sentence. Not after the context. First.
Before: "There are a number of factors to consider when choosing an approach here, and the right one depends heavily on circumstances. Broadly, teams tend to land on one of three models…"
After: "Most teams choose one of three models: centralised, federated or hybrid. Centralised suits organisations under about 200 people; federated suits multi-brand groups; hybrid suits everyone in between."
2. Make headings match real questions
"Implementation considerations" tells a reranker nothing. "How long does implementation take?" matches a query directly and lets the chunk under it be selected with confidence.
3. Repeat the subject instead of using pronouns
Chunking severs paragraphs from their antecedents. "It integrates with Salesforce" becomes meaningless in isolation. Write "Aeologic integrates with Salesforce" even where a style guide would call it repetitive — because in a retrieval context, it is not.
4. Add a standalone definition block for every key term
One paragraph, bolded term, complete definition, no dependency on anything above it. These are the single most frequently cited structures we see, by a wide margin.
5. Turn comparisons into actual tables
Prose comparisons are hard to extract reliably. A table with labelled columns is unambiguous, and models quote them nearly verbatim. If you compare three things in a paragraph, that paragraph should be a table.
6. Replace vague quantities with numbers
"Significantly cheaper" is unquotable. "Roughly 40% cheaper at 50,000 monthly sessions" is a fact a model can attribute to you. If you cannot supply a number, supply a defined threshold or condition instead.
7. Attach a source to every non-obvious claim
Inline attribution to a primary source raises the odds your passage survives synthesis, because it gives the model corroboration inside the chunk itself.
8. Add explicit dates
Publication date, last review date, and — for anything that changes — the as-of date for the data itself. Models discount claims they cannot age.
9. Close with a genuine FAQ, marked up
Three to six questions drawn from real support tickets, each answered in a self-contained paragraph, with FAQPage schema. This is the cheapest citable structure available and most teams either skip it or fill it with questions nobody asks.
What to skip
Two popular tactics do not survive scrutiny. Keyword stuffing in headings makes chunks read as spam and hurts the confidence score attached to them. Padding for word count lowers answer density, which is one of the properties rerankers explicitly measure — long pages built this way are measurably less citable than the short ones they replaced.
Where to start
Take the ten pages that already earn the most organic traffic. Run this checklist against them. In our accounts, restructuring alone typically moves citation share on those pages within two to four weeks of re-crawl, at a fraction of the cost of new production.