How to Optimize Content for AEO: The 12-Step Checklist We Run on Every Page

SEO

Vincent

11/09/2025

16

Answer Engine Optimization (AEO) is the practice of structuring content so search engines and AI systems can extract a direct, verifiable answer from your page. You optimize for AEO in twelve steps: map buyer questions, answer first, use question-based headings, keep passages standalone, cite named sources, fix entities, expose content in raw HTML, add matching schema, allow the AI crawlers, earn third-party mentions, run a prompt library, and measure citations against pipeline.

That is the whole checklist. The rest of this page explains each step, with the numbers behind it and the mistakes I have made on my own site.

The 12-step AEO checklist

#StepLayerWho does itEffort
1Map buyer questions, not keyword variationsContentContent + SalesMedium
2Answer first, then expandContentContentLow
3Write question-based H2s and H3sContentContentLow
4Make every passage standaloneContentContentLow
5Attach a named source and a year to every claimContentContentMedium
6Fix entity naming and keep it consistentContentContentLow
7Keep critical content in raw HTMLTechnicalDeveloperMedium
8Add schema that matches the visible pageTechnicalDeveloperLow
9Let the AI crawlers in, and check your CDNTechnicalDeveloper/ DevOpsLow
10Earn third-party mentionsAuthorityPR/ MarketingHigh
11Run a prompt libraryMeasurementSEOLow
12Measure citations against pipelineMeasurementSEO + SalesMedium

 

Steps 1-6 are the ones a marketing manager can ship without asking anyone for anything. Steps 7-9 need a developer for roughly half a day. Step 10 is the hardest and, as you will see below, probably the most important.

What is AEO, and how is it different from SEO and GEO?

AEO optimizes for inclusion in the answer. SEO optimizes for a position in the results. GEO, Generative Engine Optimization, optimizes for being selected as a source by an AI model that is writing an answer from scratch. The three overlap heavily, and none of them replaces the others.

SEOAEOGEO/ LLM
GoalRank in the resultsBe selected as the answerBe used as a source in a generated response
Optimizes forCrawlers and ranking systemsSnippets, People Also Ask, AI OverviewsChatGPT, Perplexity, Claude, Gemini
Best formatLong-form, intent-matchedDirect answer, then contextClear, sourced, entity-dense
Technical layerCrawl, index, links, speedSchema, structure, standalone passagesCrawler access, entity clarity, off-site coverage
Success metricPosition and CTRAnswer inclusionCitation and mention
What kills itCannibalization, thin contentBuried answers, vague languageUnverifiable claims, no third-party coverage

AEO has no ranking position. You are either cited or you are not. There is no page two. That single fact changes how you prioritize, and it is why the checklist above puts as much weight on crawler access and off-site mentions as on the writing itself.

For the deeper comparison, we wrote it up separately: AEO vs SEO. This page assumes you already know what AEO is and want to know what to do on Monday.

Why AEO matters now

AI answers now sit above a substantial share of search results, and their presence reduces clicks to websites. Every credible study agrees on the direction. None of them agrees on the size, and any agency quoting you a single confident number is quoting one methodology.

Here is the honest state of the data as of mid-2026:

MetricFindingSource
AI Overview prevalenceRoughly 20% of Google searchesSparkToro, 2026 study
AI Overview prevalence25.8% of queriesAhrefs, December 2025 (300,000 keywords)
AI Overview prevalence~48% of tracked queriesBrightEdge, February 2026
AI Overview prevalence60.3% of US queriesAdvanced Web Ranking, November 2025
Zero-clickFewer than one third of Google searches now send a clickSparkToro, 2026
CTR impactPosition-one CTR falls 58% when an AI Overview is presentAhrefs, December 2025 (863,000 keywords)
The reason to botherBrands cited in AI Overviews earn ~120% more organic clicks per impression than uncited brands on the same queriesSeer Interactive, 2026

Read that last row again. It is the entire business case for AEO, and it is the one number I would put in front of a CFO. The point is not to escape zero-click. The point is that on a SERP where an AI answer exists, being inside that answer is worth roughly double, per impression, versus being merely present on the page.

Two more findings that shape the checklist directly:

  • Question-shaped queries trigger AI answers far more often. Multiple 2025–2026 analyses put the trigger rate for question-based searches near 60%, against roughly 8% for one- and two-word queries. This is why steps 1 and 3 exist.
  • AI answers rarely rely on a single source. Pew Research found that 88% of AI Overview summaries cited three or more sources, and only 1% relied on one. You are not competing for a single slot. You are competing to be one of several — which is a much better fight to be in.

Content

1. Map buyer questions, not keyword variations

Start from the decision your buyer is trying to make, not the phrase they typed. A keyword reveals demand. It does not reveal the unspoken concern behind the demand — budget, timeline, industry fit, or risk. AEO content is built around the question and the concern together.

Buyer stageWhat they needThe question they actually ask
AwarenessUnderstand a topicWhat is B2B SEO?
Problem discoveryFind the causeWhy does my site get traffic but no enquiries?
ComparisonWeigh approachesSEO agency vs in-house team — which is better?
DecisionAssess a providerWhat should I check before signing with an agency?
ImplementationExecute betterHow do I measure SEO lead quality?

Where to find the real questions, in this order, because the order matters:

  • Sales call notes. The single best source, and the one nobody mines. Your team hears the objection in the buyer’s own words, months before it ever shows up in a keyword tool.
  • Google Search Console queries you already receive impressions for
  • People Also Ask on the SERPs you target
  • Support tickets and CRM notes
  • Reddit, Quora and industry forums, where buyers say what they will not say to a vendor

Do not turn every phrasing into its own page. Group related questions into one section. One page, one topic, several resolved decision points.

2. Answer first, then expand

The first one or two sentences under every important heading must answer that heading directly, in 40-80 words, before any explanation begins. Everything after that is context: why the answer holds, when it does not, and what to do next.

This is the cheapest step on the list and the one most content teams get wrong, because it inverts how we are taught to write. You were taught to build toward a conclusion. Answer engines take the first paragraph and leave.

  • Wrong: Choosing an SEO agency is an important decision. There are many providers in the market, so companies should research carefully before deciding.
  • Correct: B2B companies should evaluate an SEO agency on five things: strategy quality, channel fit, tracking setup, reporting transparency, and how they qualify a lead. The right partner connects SEO, paid media and CRM data instead of optimizing each channel in isolation.

3. Write question-based H2s and H3s

Turn headings into the questions your buyers ask. Answer engines match a user’s question against the structure of your page, and a heading phrased as a question is a far stronger match signal than a heading phrased as a topic.

Topic headingQuestion heading
Why SEO MattersHow does SEO support B2B lead generation?
Our ApproachWhat does an SEO audit actually check?
AEO ToolsWhich AEO tools should a content team start with?
Benefits of SchemaDoes schema markup improve rankings?

 

Given that question-shaped queries trigger AI answers roughly seven times more often than short head terms, this is a near-free win. It costs one editing pass.

4. Make every passage standalone

Every section must survive being lifted out of the page and read in isolation, because that is exactly what happens. An answer engine does not read your article. It extracts a passage.

Practical rules:

  • Never write “as mentioned above” or “as we discussed earlier.” Repeat the fact briefly instead.
  • Full entity names on first use in every section, not just the first time in the article.
  • Each section should make sense to a reader who arrived from a search result and will read nothing else.

A ten-minute test: Copy one H2 and its opening paragraph into a blank document. Read it cold. If you cannot tell what it is about without the surrounding article, an answer engine cannot either.

5. Attach a named source and a year to every claim

Every factual claim needs a named source and a date. Not “studies show.” Not “research suggests.” A name, a year, a link. Answer engines are built to avoid hallucination risk, and unverifiable claims are the fastest way to be passed over for a competitor who cited theirs.

Hedging language is a red flag to an answer engine:

Signals uncertaintySignals verifiability
“Some experts say…”“According to Ahrefs’ December 2025 analysis…”
“Studies show…”“Pew Research found that…”
“It’s widely believed that…”“Google’s own documentation states…”
“Many marketers report…”“Our team ran 40 audits in the past year and found…”

 

And here is where I have to be honest. The previous version of this article contained zero statistics, zero named sources, and zero outbound links. An article about answer engine optimization, written without a single verifiable claim in it. It never got cited by anything, and it deserved not to be.

I am telling you this because it is the clearest possible demonstration of the point: an AEO article that does not practise AEO will not be cited, no matter how correct its advice is.

6. Fix entity naming and keep it consistent

Use the full, established name for every platform, tool, concept and company, and use the same one throughout the page and across related pages. Answer engines map your content to a knowledge graph via entities.

Inconsistent naming forces the system to guess, and it will guess in favour of a source that did not make it guess.

  • ✅ Google Analytics 4: ❌ GA, analytics, the analytics console
  • ✅ Google AI Overviews: ❌ AI summaries, Google’s AI thing, AI mode (a different product)
  • ✅ Answer Engine Optimization (AEO) on first mention, AEO thereafter

Pair related entities in the same section, such as AEO, SEO, GEO, schema markup, AI Overviews, E-E-A-T, because answer engines look for clusters of connected concepts to confirm a topic fit. This is not keyword stuffing. It is the opposite: precise naming instead of vague synonym rotation.

Technical

7. Keep critical content in raw HTML

If your answer only appears after JavaScript executes, an accordion opens, or a tab is clicked, assume it does not exist. Answer engines are far less patient than Googlebot, and Googlebot is already less patient than your developer thinks.

Check for:

  • Content rendered client-side only
  • Answers hidden behind accordions, tabs, or “read more” toggles
  • Tables built as images or screenshots instead of real HTML <table> elements
  • Key information trapped in an infographic with no text equivalent
  • Video with no transcript

If Google cannot see it, an AI Overview cannot quote it. Run your page through the URL Inspection tool in Google Search Console and look at the rendered HTML, not the page in your browser.

8. Add schema that matches the visible page

Schema markup does not improve rankings. It makes a page eligible for rich results and easier for machines to classify. Anyone selling you schema as an AI-citation guarantee is selling you something that does not exist.

Page typeRequired schemaAlso useful
Educational guideArticle + BreadcrumbListFAQPage
Step-by-step tutorialHowTo + ArticleFAQPage
Comparison articleArticle + BreadcrumbListItemList
Service pageService + OrganizationFAQPage
Location-based businessLocalBusinessOrganization
FAQ-led pageArticle + FAQPageBreadcrumbList

Schema must describe what is actually visible on the page. Marking up an FAQ that does not appear on the page is not clever. It is a violation of Google’s structured data guidelines, and it is the kind of thing that gets a site’s rich results turned off.

9. Let the AI crawlers in, and then check your CDN

This is the step almost nobody checks, and it is the one that silently deletes brands from AI answers. Training crawlers and search crawlers are separate user agents, and blocking one does not block the other. A robots.txt copied from a 2023 template can remove you from ChatGPT Search entirely while you keep publishing content, wondering why you are never cited.

CrawlerWhat it doesBlocking it means
GPTBotOpenAI model trainingYour content is not used for training. Does not remove you from ChatGPT Search.
OAI-SearchBotPowers ChatGPT SearchYou will not appear in ChatGPT search answers. OpenAI states this explicitly.
ChatGPT-UserFetches a page a user asked forYou break a fetch the user explicitly requested
ClaudeBotAnthropic model trainingNot used for training
Claude-SearchBotPowers Claude’s web searchYou are not retrievable by Claude
PerplexityBotIndexes for Perplexity answersYou are not cited by Perplexity
Google-ExtendedControls Gemini training onlyNo effect on Google Search rankings. Google documents this explicitly
Bytespider, CCBotBulk scraping/ Common CrawlUsually safe to block

 

The decision, stated plainly. OpenAI’s own documentation confirms these settings are independent: you can disallow GPTBot while allowing OAI-SearchBot, opting out of model training while staying eligible for citation in ChatGPT Search. That is the pattern I recommend to most B2B clients who are uneasy about training but want the visibility.

Then check the layer above robots.txt. Many CDNs, Cloudflare in particular, ship a bot-management setting that blocks AI crawlers regardless of what your robots.txt says. If that toggle is on, your robots.txt is decorative. Check it before you change anything else.

Two caveats worth stating, because the vendors will not:

  • Robots.txt is a request, not a fence. Cloudflare published evidence in August 2025 that Perplexity used undeclared crawlers which circumvented robots.txt directives. For non-compliant bots, the only real control is at the server or WAF layer.
  • Some Anthropic and OpenAI user-agent strings from 2023 are deprecated. A robots.txt blocking anthropic-ai or Claude-Web is blocking nothing.

Verify, don’t assume: curl -A “OAI-SearchBot” -I https://yourdomain.com/your-page/ should return 200, with no X-Robots-Tag: noindex. Repeat for each agent that matters to you. This takes five minutes and I have yet to run it on a new client site without finding something.

Authority

10. Earn third-party mentions

AI systems overwhelmingly cite content you do not own. Muck Rack’s May 2026 analysis of more than 25 million links found that roughly 84% of AI citations came from earned media — editorial coverage in real publications — rather than brand-owned pages or paid placements.

If that figure holds, the implication is brutal and clarifying at once. You do not get cited by publishing more blog posts. You get cited when credible third parties write about you, and answer engines find your name where they already trust the source.

Which reframes AEO as a PR problem wearing an SEO costume. What actually works:

  • Original data. Publish a survey, a benchmark, or a dataset your industry does not have. Journalists need a statistic; if you own it, you own the citation.
  • Expert commentary and industry contributions. Being quoted in a trade publication is worth more, for AI visibility, than a month of your own blog.
  • Unlinked brand mentions. Convert them. Even unconverted, mentions on authoritative sites appear to carry weight.
  • Genuine presence where buyers argue. Reddit, Quora, LinkedIn groups, industry forums. Not seeding. Being useful, which cannot be delegated to a tool, and which is precisely why it works.

Steps 1-9 make you eligible for citation. Step 10 is what makes you chosen. A technically perfect page belonging to a brand nobody has written about will lose to a mediocre page belonging to a brand the internet already discusses. That is not fair, and it is how the systems work.

Measurement

11. Run a prompt library

A prompt library is a fixed set of the questions your buyers actually ask, run on a fixed schedule across the platforms that matter, with the results logged. It is how you turn “are we visible in AI search?” from a feeling into a spreadsheet. Do not use random prompts. Use the questions from step 1.

Log these columns, every time:

ColumnWhat goes in it
PromptThe exact question, phrased as a buyer would
Buyer stageAwareness → implementation
PlatformChatGPT, Perplexity, Google AI Overviews, AI Mode, Gemini
Cited?Yes / no
Who was cited insteadThe competitor or publication that won the slot
Gap identifiedThe specific thing their source had that ours did not
ActionThe page and the change

The most valuable column is “who was cited instead.” Over a quarter, a pattern appears — and it usually is not the competitor you expected. Often it is a trade publication, a Reddit thread, or a comparison site. That tells you where to invest in step 10.

Commercial AI visibility platforms can automate this. They are useful for trend-spotting, but every one uses its own prompt set and scoring model. Treat a “visibility score” as a directional signal, not a ranking position. There is no ranking position in AEO.

12. Measure citations against pipeline, not screenshots

An AEO programme is judged on whether it produces qualified demand, not on how many screenshots of AI answers you can put in a deck. Citations are a leading indicator. Enquiries are the outcome. When the two diverge, the content is being cited by the wrong audience.

Track four layers, and connect them:

  • Citation: appearances and mentions across your prompt library
  • Referral: traffic arriving from ChatGPT, Perplexity, Gemini and AI Overviews (segment it in GA4; the sources are identifiable)
  • Behaviour: do AI-referred visitors behave differently? In our experience they arrive further along, ask sharper questions, and convert at a different rate than organic search visitors. Measure it rather than assuming it.
  • Pipeline: enquiries, MQLs, deal source in the CRM

The report line I care about: how many pages produced at least one qualified enquiry in the last 90 days, and whether any of them were AI-referred. On most B2B sites that first number is under ten. Once you know which ten pages, you know exactly where the next quarter of AEO work goes.

A worked example

Here is one section of a service page, run through the checklist.

Before

Our AEO Services On Digitals provides advanced AEO services to help brands stay visible in AI search. Our experienced team uses cutting-edge techniques to maximize your visibility across all answer engines.

Nothing here is extractable. No entity definition, no scope, no audience, no proof, no verifiable claim. An answer engine has nothing to take.

After

What do AEO services actually include? AEO services make a company’s key pages easier for search engines and AI systems to extract and cite. The work covers four things: mapping the questions buyers actually ask, restructuring pages so each section answers directly, fixing technical accessibility, and tracking citations through a fixed prompt library.

It is most useful for companies with complex services, research-led buyers, or sales cycles long enough that a buyer forms an opinion before they ever contact you.

What it cannot do: no provider can guarantee a citation in any AI answer. There is no ranking position to buy and no schema that forces inclusion.

The second version defines the entity, states the scope in four concrete components, names the audience, and critically states a limitation. That last paragraph is not a weakness. It is the strongest trust signal on the page, and it is the one thing your competitors will not write.

Common mistakes when optimizing content for AEO

  • Writing for “AI” instead of a buyer question. A page must solve a real problem for a real person. Answer engines are downstream of that, not a substitute for it.
  • Treating schema as a citation guarantee. It is not, and it never was.
  • Blocking the search crawler while allowing the training crawler. Backwards, and more common than you would believe.
  • Publishing AI-generated summaries with no expert input. They read like every other page, which is exactly why nothing cites them.
  • Adding an FAQ with no evidence in it. An FAQ that says “it depends, contact us” is worse than no FAQ.
  • Building off-site mentions before the source pages are worth citing. Step 10 amplifies steps 1-9. It does not replace them.
  • Refreshing the date without improving the content. Everyone can see it. Including Google.
  • Chasing every phrasing with a new URL. That is how you build a cannibalization problem and call it a content strategy.

What AEO cannot do

I would rather you hear this from me than discover it in month four.

  • There is no ranking position in AEO. You are cited or you are not. No page two, no gradual climb you can point at in a report.
  • Nothing guarantees a citation. Not schema, not word count, not a perfect checklist score. You can do everything on this page and still not be chosen.
  • Answer engines change without notice. Prevalence, citation patterns, and CTR impact have all moved substantially in the last twelve months, in both directions. Anyone selling you certainty is selling you fiction.
  • A perfectly optimized page from an unknown brand will still lose. Step 10 is not optional decoration. If nobody credible has written about you, the systems have no reason to trust you — and they are explicitly built to prefer sources they trust.

Content optimized this way remains useful even if it is never cited by anything. Clearer answers, named sources, honest limitations, working technical foundations. Those are not AI tactics. They are what good content was always supposed to be. AEO just finally made the business case for it.

Frequently asked questions about AEO

Should I block or allow AI crawlers in robots.txt?

Allow the search crawlers like OAI-SearchBot, Claude-SearchBot, PerplexityBot, because blocking them removes you from AI answer citations entirely. Training crawlers like GPTBot, ClaudeBot and Google-Extended are a separate, independent decision. OpenAI’s documentation confirms you can block training while staying eligible for ChatGPT Search. Then check whether your CDN is overriding robots.txt.

Do I need schema markup for AEO?

No. Schema is not required for AEO and does not guarantee an AI citation. It helps machines classify your page and makes it eligible for rich results. Start with clear content, direct answers and clean HTML. Add structured data afterwards, and only when it accurately describes what is visible on the page.

Does AEO replace SEO?

No. AEO builds on SEO. A page still has to be crawlable, indexable and relevant before an answer engine will consider it. Google’s own guidance is that SEO best practices remain relevant for its AI features. AEO adds a layer on top of a working SEO foundation, and it fails without one.

How long before AEO changes show up in AI answers?

Expect weeks, not days, and treat the timeline as genuinely unpredictable. Google may pick up improved structure and schema quickly. Model-based systems refresh their sources on different and undisclosed schedules. Judge results across a prompt library over several weeks, never from a single query on a single day, AI answers vary between runs.

Can a small B2B company get cited in AI answers?

Yes, and often more easily than in traditional rankings. Answer engines cite multiple sources per response, Pew Research found 88% of AI Overviews cite three or more, so you are competing for one of several slots, not for position one. A narrow, genuinely expert guide can beat a generic page from a much larger brand.

How do I know if I am actually being cited?

Run a fixed prompt library on a schedule and log the results, including which source was cited instead of you. Segment AI referral traffic in GA4, ChatGPT, Perplexity and Gemini are identifiable sources. Server logs will tell you a crawler visited; they will not tell you whether you were cited. Those are different questions.

Where to start

If you do only three things from this page, do these, in this order:

  1. Check your robots.txt and your CDN today. Five minutes. If OAI-SearchBot is blocked, nothing else on this list matters.
  2. Rewrite the opening paragraph under your five most important H2s so each one answers its heading in 40–80 words. One editing pass.
  3. Add a named source and a year to every claim on your best page. If you cannot source a claim, delete it.

Everything after that is refinement. Those three are the difference between eligible and invisible.

If you want the whole checklist run across your site, with the crawler audit, the prompt library and the citation baseline set up properly, that is what our AEO Services engagement does. It starts with an audit, not a proposal.

Vincent On
AUTHOR

Vincent On

Vincent On is the Founder & Managing Director of On Digitals. With a background in Information Technology and Information Systems from Deakin University, Melbourne, he connects strategy, data and execution into one accountable growth system — across SEO, content, media, outreach and technology. His articles help marketing leaders turn search and AI visibility into measurable business growth.


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