An article can hold all the right information and still be hard for a search system to use. The answer might sit under three paragraphs of background, the product names might be unclear, or a claim might lean on a source that went out of date a year ago. This AEO readiness check walks you through one article in a sitting: the opening answer, the headings, who and what the article is about, the markup, the sources, and whether the page can be reached at all. Then you fix each gap you find and check the page again after you republish.
AEO here means answer engine optimization. The checks below are a practical publishing standard, and they are not a score from Google, Microsoft, or OpenAI. Passing them removes avoidable problems, but it does not guarantee that an AI engine will cite your article.
What you need before you start
You need the article open in a browser, editing access (or an editor you can hand fixes to), and the sources the article relies on. It also helps to have the page's rendered HTML or a technical colleague who can look at it, and optionally access to the page's property in Google Search Console. The free structured data validators from Google and Schema.org are enough for the markup step.
Make a simple worksheet to record what you find, with columns for the article, main question, reviewer, review date, check, observed problem, required correction, owner, status, and the date you verified the live page. Each check gets one of four statuses: Pass, Fix, Optional, or Not verified. These are labels for your own team, and they are not search engine scores.
The eight steps, the tests inside them, and the statuses are a routine we put together from official guidance. They are not an official scoring system, and nobody has shown that they predict citations. This is a manual way to scan articles for AEO problems. If you want to see which prompts a paid tool says cite a given URL, that is a different job, and the page-level citation diagnostics guide covers it.
1. Choose one article and define its main question
Start with a single article and write down the question it should answer, in plain language. Add the title, the page address, the intended reader, today's date, and your name. Then write one sentence about the outcome. For a how-to, that is what the reader can do after following the steps. Save the current version or note the revision history before you change anything.
Now compare that question with the title, the opening, the section headings, and the closing section. They should all point at the same task. A quick test works well here: ask a colleague to read only the title and the opening, then tell you what the article will help them do. If their answer is quite different from yours, the article needs a clearer promise or a tighter scope.
To fix it, rewrite the title and the opening around the real task. Cut tangents that don't help complete it, or move them into a separate article when they really are a separate task. You are done when the article has one identifiable purpose and its title and opening describe what follows.
2. Put the useful answer before the background
Read the opening on its own, without scrolling. Highlight the first sentence or paragraph that really answers the main question. If it only shows up after scene-setting or history, move a short answer to the top. For a how-to, say what the sequence is and what the result will be before you explain each step.
A weak opening says, "AI search is changing how businesses create content, making optimization more important than ever." A better one says, "Check the article's opening answer, headings, named entities, structured data, and supporting sources, then validate the page before and after republishing." The second gives the reader something to do.
You are done when useful information appears near the top and no major section makes the reader hunt for its point.
Common mistake: Answer-first does not mean answer-only. Keep the reasoning, the evidence, the exceptions, and the worked examples that make the answer something a reader can trust. Google says explicitly that you don't need to break content into tiny chunks.
Bing's guidance says to put essential information near the top, while Google sets no required location or length, so treat this as good editing and not as a formula that triggers citations. For the writing side, how to structure an article answer-first goes deeper than a review step can.
3. Make the heading outline explain the process
Read only the headings, either in your CMS or by inspecting the rendered page. Use the article title as the main heading, check that the main sections sit one level below it, and use a lower level only for real substeps. Check too that your headings are real heading elements, not paragraphs made large or bold, because that is easy to miss when the page looks right to a reader.
Then read each heading as a promise and check that the section delivers it. Generic labels are the most common problem, and they are easy to repair. "Structure" becomes "Move the main answer above the background." "Important considerations" becomes "Verify the sources behind your factual claims." A heading that promises schema validation, followed only by a definition of schema, needs either a different heading or the missing validation steps.
On hierarchy, the W3C advises nesting headings by rank, so avoid jumping from an H2 straight to an H4 when you open a subsection. There is no special AI ranking rule about having a single H1, so don't present it as one.
To fix problems, rename headings to describe the action or subject, correct wrong levels, and split or merge sections only where it helps the reader. If you're weighing whether to phrase headings as questions, turning H2s and H3s into questions covers when that helps and when a plain action label reads better.
You are done when a reader can follow the article's progress from the outline alone, and the rendered HTML matches it.
4. Identify the people, products, and organizations clearly
An entity is just a person, product, or organization the article talks about. Make a short list of the ones that matter: the company, the product, the author, any other organization involved, and any place that matters for reading the advice correctly. Then go through the text:
- At the first meaningful mention, use the full name and enough description to make clear what it is.
- Expand any unfamiliar acronym before you rely on it.
- Use product and feature names the same way every time.
- Replace vague references such as "it," "the platform," or "this solution" wherever a reader could link them to more than one thing.
- Check the visible byline and author bio, and confirm they describe a real person or organization with real expertise, consistent with the profile and About pages.
A good test is to read an important section without the introduction. Can you still tell which product or organization each claim is about? The aim is clear context, not repeating the name in every sentence. "It stores your context" is unclear, while "Deep IQ stores the brand and product context used by DeepSmith's content workflow" says what is meant.
This is one place where DeepSmith helps in a practical way. Deep IQ holds your company, product, persona, and voice context in one place, so names and approved claims are the same every time a new article is produced. It gives whoever is editing consistent context, and it doesn't audit the entity references in your older articles, so for those you still run this step by hand.
You are done when the article doesn't confuse the publisher, the author, the product, or a competitor, and its meaning doesn't depend on shorthand nobody explains. Mistakes here include treating an entity as just another keyword, making up an author's credentials, switching between feature names, and assuming a name in hidden markup can make up for unclear visible text. Google warns against deceptive or invented authorship information, so use real identities and real expertise. For how author and organization details are marked up, see author and organization schema.
5. Inspect the schema and compare it with the visible article
Structured data should describe the article accurately. It is not a substitute for the article, and it isn't a guarantee of an AI citation. Google says structured data is not required for its generative AI search features, and that no special AI schema exists. So if an article has none, treat that as a possible enhancement and not as a failure. Markup that is wrong or misleading is a defect, and it should be corrected or removed.
Work through it in this order:
- Find out whether structured data is already there, by inspecting the rendered HTML or using a validator. Don't assume your CMS setting produced what you expect.
- Identify the type used. Google's Article documentation supports Article, NewsArticle, and BlogPosting, so pick the one that honestly describes the page.
- Compare the properties with what is visible on the page.
- Confirm the author type and identity are accurate, and that the publication and modification dates are consistent.
- Validate the markup, then inspect the actual rendered page after it is deployed.
Google's Article documentation currently lists recommended properties and says none are required, so don't copy an older checklist that calls every property mandatory. These are the ones worth a look:
| Item | What to inspect | Common correction |
|---|---|---|
| author | A Person or Organization that matches the real author, with a name only and a working profile url | Remove job titles or promotional text, and don't swap in the publisher for a named human author |
| datePublished | Shows the original publication date | Don't reset it because an older article was reviewed |
| dateModified | Shows the latest real change | Don't make a page look fresh by changing only the date |
Google asks for the Article dates in ISO 8601 format and recommends extra identifying details for authors, such as a profile link through url or sameAs. A sameAs link says who someone is, which is different from a source citation that backs up a claim. Google supports JSON-LD, Microdata, and RDFa, and recommends JSON-LD.
The Rich Results Test takes a public page address or a pasted snippet, so you can use it before publishing. Read the errors and warnings and not just the top-line result. The Schema Markup Validator is the one for general Schema.org checks.
Be careful how you read a pass, because it checks how the markup is built and doesn't show that an AI system will cite the page. For more depth, how to validate your schema markup goes step by step, and adding schema without a developer helps if you lack engineering support.
Pro tip: Check the dates and the author in the markup against the byline on the page. Pasted templates are where mismatches creep in, because someone forgets to replace the name or the date from the example.
You are done when any markup that exists is valid for its purpose, matches the visible page, and has no unresolved critical errors. Record missing optional markup as an enhancement. People often paste a template without swapping in real identities, trust a plugin without looking at its output, add answers to the schema that don't appear on the page, or treat a green validation result as an AEO score.
6. Check the evidence behind every material claim
Readers should be able to verify the important facts from the sources your article gives them. Start by highlighting every statistic, date, quotation, product capability, price, policy statement, and comparison that depends on an outside fact. For each one, open the source and check it:
- Confirm it supports the exact claim and not only the general topic.
- Prefer the original study, official documentation, current policy, or first-party product information where that fits.
- Check the period, the group studied, the units, the version, and any limits.
- Make sure quotations are exact and credited to the right person or organization.
- Separate measured findings from your own explanation, advice, or example.
- Write down anything you can't support, then remove it, qualify it, or replace it.
A short claim-evidence record helps: the claim as written, the source and passage that supports it, the date or version when it matters, and the repair needed.
To fix what you find, update stale facts, put back qualifications that got dropped, replace secondhand citations with the original when you can reach it, and remove claims that stay unsupported.
Common mistake: A source link is not evidence unless the page it points to supports the sentence. More links don't make up for weak or mismatched support.
The outbound sources in your article are a different matter from an AI engine citing your article, and this step checks only the first. For keeping facts current, updating stats, sources, and dates is a good follow-up.
You are done when claims that can be checked have appropriate support, or have been qualified or removed, and a reader can tell facts from examples and from your recommendations.
7. Confirm that the article can be accessed and understood on the page
A clean draft in your editor isn't the same as a page that search systems can reach. Open the live page while logged out and confirm the public content is there and readable. Check that the essential answers exist as text and aren't only inside an image or an embed, that menus and overlays don't cover the main content, and that internal links on your site point to the article so it can be discovered. Before you propose any change to an exclusion, find out whether it was intentional, and don't override privacy, licensing, or publisher policy just to gain visibility.
If you have Search Console, inspect the article in the correct property. The first result is about the version Google most recently indexed, which may not be the version on your site now, so choose Test live URL to see the current one. Then use View tested page, when it's available, to look at the returned HTML, the rendered screenshot, and the headers, and confirm the main answer and article text are there. A good live test confirms access and parsing, and it doesn't promise indexing.
A handful of access controls are worth checking by name, because they are different things:
| Surface | What to check | How to read it |
|---|---|---|
| Google generative AI features | Search Console Settings, then Search generative AI | The default includes your site's links and content. An exclusion can keep you out of those features without removing you from other parts of Search |
| ChatGPT search | OAI-SearchBot access | This is the search crawler. Sites that opt out aren't shown in ChatGPT search answers, though navigational links may still appear |
| OpenAI model training | GPTBot policy | This is separate from search access, so a publisher can allow OAI-SearchBot and still disallow GPTBot |
| Bing and Copilot | Bingbot access and any intentional exclusions | Bing warns that content it can't reach or render reliably may not be indexed or used for grounding |
You are done when the article is public as intended and any open question has a named owner. If you haven't been able to check access, mark it Not verified.
8. Resolve the worksheet and validate the republished result
Close the check by fixing the material failures and then looking at what your publishing system really puts on the page. Before you republish, resolve every material Fix item, give technical work to a named owner when the editor can't make the change, and re-read the opening, outline, entity references, sourced claims, and markup after your edits. Confirm that the page title, byline, dates, images, and markup still agree. Keep the original publication date, and update the modification date only to reflect changes you really made.
After you republish, open the live article while logged out and confirm your CMS kept the headings, lists, evidence links, and byline. Run the markup test again on the live page and not only on the snippet you tested before. If it makes sense, inspect the live page in Search Console and request indexing once errors are fixed, then save the revision date and the final outcome on the worksheet. A request for indexing doesn't guarantee inclusion or a quick result, so don't promise anyone a recrawl date.
Here is where DeepSmith comes in again. Content Studio supports researched, brand-grounded content production and editing before an article goes live, and Produced Content is where you review and revise the article and its metadata before you publish. This checklist still works as your final editorial sign-off on that output. DeepSmith doesn't issue an AEO readiness certificate or score, so the sign-off stays with you.
You are done when the corrections are on the live page, no material factual or markup defects are left open, and any technical uncertainty is written down. You are done when the corrections are on the live page, no material factual or markup defects are left open, and any technical uncertainty is written down.
The reusable checklist
Copy this into your worksheet and use it as your AEO content checklist for the next article.
| Check | Pass evidence | Repair when it fails |
|---|---|---|
| Main question | Title, opening, and body serve one reader task | Clarify the promise and remove detours |
| Answer-first | A useful answer comes before extended background | Move the answer up and keep the qualifications |
| Headings | The outline explains the sequence, in real heading elements | Rename vague headings and repair nesting |
| Entities and authorship | People, organizations, and products are identifiable and named consistently | Expand names, clear up ambiguity, correct bylines |
| Schema | Markup matches the visible content with no critical errors | Correct, validate, or remove misleading markup |
| Sources | Important claims have accurate, relevant support | Replace stale evidence, qualify, or remove the claim |
| Access | Public text is readable and the access checks are done | Fix it or assign the technical check to an owner |
| Live page | The published page contains the approved corrections | Repair the publishing output and repeat the test |
Mark an article ready to republish only when the material defects are fixed, the markup is accurate, and any technical work is done or approved by its owner. If access or indexing is still unknown, call it Not verified. Don't average the statuses into a score, because a high total shouldn't hide an unsupported claim.
What to do next
Save the worksheet and use it on the next article you plan to update. When the same check keeps failing, such as vague headings or missing sources, the fix belongs in your template or production workflow and not in each separate article. If you're choosing tools for this kind of work, the best AI visibility tools roundup covers tracking. For checking, AEO audit tools compares what the paid options check.
Want a production workflow that starts with your brand context? Try DeepSmith and use this checklist for your final editorial review.
Related guides
- How to Connect AEO Data to Site Analytics and Your CMS: Set up the connections that link AEO citation data to site analytics and your CMS, so cited pages can be matched to referral traffic and to the exact.
- Do Traditional Content Optimizers Help With AEO?: Judge whether traditional content optimizers help AEO and where they fall short.
- Self-Serve vs Managed AEO: Which Fits Your Team?: Compare running AEO yourself with software against hiring a managed service on control, speed, in-house skill needed and workload, then pick the model that fits your team's capacity.
- What Are Agentic Marketing Platforms for SEO and AEO?: Understand what makes a platform agentic and what it does for SEO and AEO.
- White-Label AEO Reporting: What Agencies Should Include in a Client Report: Decide which sections belong in a client-facing white-label AEO report, such as visibility trend, cited pages, competitor share and next actions, and how to word them for non-specialists.
