Some pages get quoted by AI assistants again and again. Others, with similar topics and similar effort, never do. There is no secret formula, and nobody outside the model providers can promise a citation. But there are consistent differences in how citable pages are built, and they are mostly differences in clarity.
An assistant answering a question has to find a passage it can trust, lift the relevant fact, and attribute it. Your job is to make that easy. This playbook covers the page structures that help, and how to refresh the pages you already have.
Think in passages, not pages
A person reads a page from top to bottom. A retrieval system scans for passages that match a question. That changes how you should write:
- Each section should make sense on its own, without context from earlier in the page.
- Headings should say what the section answers.
- The important sentence should not be buried in the middle of a long paragraph.
If you could copy a paragraph out of your page and paste it into a chat window as an answer, it is a good candidate for citation. If it only works with the three paragraphs before it, it is not.
1. Lead with the answer
Put the direct answer first, then the nuance.
Weak: "Pricing is a topic that many buyers find confusing. There are many factors to consider, including team size, features and support level. In this section we look at how our plans work."
Stronger: "Plans start at $29 per month for up to three users. The Team plan is $79 per month for up to ten users and adds shared dashboards. Enterprise pricing is custom."
(The numbers above are placeholders to show the style. Use your own real, current figures.)
The second version gives a retrieval system a clean, quotable fact. Then follow it with the detail for readers who want it.
A useful pattern for each section:
- A heading phrased as the question or topic.
- One or two sentences giving the answer.
- Supporting detail, examples and caveats.
2. Match the question's wording
People ask assistants conversational questions. Use the same phrasing in your headings and first sentences when it is natural:
- "How long does X take?"
- "Is X worth it for small teams?"
- "What is the difference between X and Y?"
- "Does X integrate with Y?"
You can find real phrasing in sales calls, support tickets, search queries and the prompts you track. Do not stuff exact phrases where they read oddly. Clarity beats mechanical matching.
3. Use comparison tables for comparison questions
Many high-value prompts are comparisons, and a table is one of the clearest ways to present one. A table gives every option the same criteria, which makes facts easy to extract.
A good comparison table:
- Uses the same columns for every option.
- Has concrete values, not vague adjectives such as "great" or "powerful."
- Includes where each option is a better fit, and where it is not.
- Is dated, so readers and systems know how current it is.
| Criterion | Option A | Option B | Option C |
|---|---|---|---|
| Best for | Solo users | Small teams | Large organizations |
| Setup time | Minutes | Hours | Weeks |
| Starting price | Free tier | Per user | Custom quote |
| Main limitation | Few integrations | No offline mode | Needs onboarding |
(This is a layout example, not real data about any product.)
Be fair. Pages that only flatter their author are less useful to readers and are less likely to be treated as a trustworthy source. Stating a real limitation on your own product usually earns more trust than hiding it.
4. Add an FAQ that answers real questions
An FAQ section matches the question-and-answer shape assistants deal in. Done well, it is genuinely useful:
- Use real questions from customers, not invented ones.
- Keep each answer short and self-contained, ideally one to three sentences with a link for more detail.
- Do not repeat the same marketing line under every question.
- Add FAQ structured data where it applies, and make sure it matches the visible text on the page.
5. Make entities unmistakable
Be explicit about who and what you are talking about. Ambiguity makes a passage harder to attribute.
- Use the full product name on first mention, then be consistent.
- State the category in plain language: "Citeflare is a platform that tracks how AI assistants mention and cite a brand."
- Name the people behind the content and give them real bios. Authorship is a trust signal for readers and systems alike.
- Use structured data for your organization, product and articles.
- Avoid pronouns that point back several paragraphs.
The broader picture is in how AI assistants choose brands.
6. Publish fresh, dated facts
For anything that changes, such as prices, features, limits and statistics, show when the information was last checked.
- Put "Last updated: [date]" near the top and keep it truthful. Do not change the date without changing the content.
- Cite the source of any numbers you use, and link to it.
- Prefer specific statements to vague ones. "Supports CSV and JSON export" beats "supports many formats."
Stale information is a common reason a brand is described wrongly. If you have a page that still lists an old plan, assistants may repeat it.
7. Create original research
Generic summaries are everywhere. Original information is scarce, and scarce information gets cited because there is nowhere else to get it.
You do not need a large study. Useful original material includes:
- First-party data: aggregated, anonymized figures from your own product, described with the method and the limits.
- Benchmarks you ran yourself: tests with the setup documented so others can repeat them.
- Surveys of your customers: with the sample size and wording disclosed.
- Practitioner guidance: specific advice from people who have done the work, such as troubleshooting steps for a particular error.
- Definitions and frameworks: a clear, well-named way of thinking about a problem that others can reference.
The rule is the same as everywhere else: report what you actually found, show how you found it, and do not overstate. Fabricated or inflated numbers do real damage once someone checks.
8. Make it technically easy to read
None of the above helps if systems cannot fetch or parse the page.
- Keep key content in the server-rendered HTML.
- Use clean heading hierarchy: one H1, then H2s and H3s in order.
- Use real lists and tables, not images of tables.
- Make sure AI search and user-fetch bots are allowed in
robots.txtand are not blocked by your CDN. See AI crawlers explained. - Keep pages fast and stable, with canonical URLs and working internal links.
Refreshing old pages
Your fastest wins are often pages you already have. A simple refresh process:
- Find candidates. Pick pages that target prompts where you are missing from answers, or where competitors are cited and you are not.
- Check what is cited instead. Open the sources assistants cite for that prompt. What do they do better? A clearer answer? A table? More recent data?
- Rewrite the top. Add a direct answer to the first lines of each section.
- Add the missing structure. A comparison table, an FAQ, a definition box, or a dated fact.
- Verify every fact. Update prices, features and screenshots. Remove anything you cannot stand behind.
- Update the date and republish. Keep the URL the same so existing links and history carry over.
- Re-measure. Give crawlers time to revisit, then compare mention rates and citations for the relevant prompts. Because answers vary run to run, judge by a window of runs, not one check. See measuring AI visibility.
A quick pre-publish checklist
- The first sentence under each heading answers the heading
- Comparison questions have a table with consistent criteria
- An FAQ covers real customer questions
- Brand, product and category are named plainly
- Facts are dated and sourced
- There is at least one thing on the page that only we could say
- The page is server rendered and reachable by AI bots
What this will not do
Good structure raises the chance that a good page gets used. It does not override other factors, such as how widely the web agrees you are a good option or whether the assistant is answering from memory instead of live search. Treat it as removing obstacles, not as a switch.
How Citeflare helps
Citeflare shows you the prompts where competitors are named and you are not, along with the sources being cited instead. Its content agent can turn those gaps into drafted articles and, if you choose, publish them to your site through a webhook or WordPress. You can then watch whether visibility improves. Create an account to find your biggest gaps first.