AEO Content Audit: A 14-point Checklist for B2B Marketing Teams

TL;DR

•  Most AEO audit checklists are too long to be useful. 7-pillar frameworks, 50-point inventories, methodologies that take a week to complete. Marketing teams scan them and never run the audit.

•  This is the working 14-point framework for B2B marketing teams. Each point gets scored 0 to 5. Total possible score is 70. The output is a ranked list of pages that need retrofitting in priority order.

•  Audit your top 20 pages first. Score each one. Pages scoring under 35 are full retrofits. Pages between 35 and 55 need targeted fixes. Pages above 55 are already AEO-ready and need only minor polishing.

•  An afternoon of audit work produces a quarter of prioritized retrofit work. The discipline matters more than the framework sophistication. Most checklists exist because they sound thorough. This one exists because it produces a list you actually act on.

Short Answer

An AEO content audit is a systematic review of existing content to identify which pages are structured for AI engine citation and which need retrofitting. The 14-point framework below scores each page across content structure, schema implementation, entity reinforcement, and platform-specific signals. Pages get a score out of 70, with anything below 35 indicating a full retrofit, between 35 and 55 indicating targeted fixes, and above 55 indicating AEO-ready content. The audit takes approximately 90 minutes for a B2B site's top 20 pages and produces a prioritized retrofit list ranked by traffic value and citation gap.

Most AEO audit checklists I see are too long to be useful. Seven-pillar frameworks. Fifty-point inventories. Multi-week methodologies that get downloaded, scanned, filed, and never run. The marketing teams who need them most are also the teams who do not have a week to spend running an audit before the work even starts. So the audit never happens, and the retrofit work that would actually move citation rate gets indefinitely deferred.

This is the version I actually use across enterprise tech accounts. Fourteen points. Each scored 0 to 5. Total possible 70. The whole audit fits on one spreadsheet tab. A B2B team can audit their top 20 pages in a single focused afternoon and walk out of the session with a prioritized retrofit list ranked by which pages will produce the largest citation lift in the first 90 days. That is what an audit is supposed to produce. Most do not.

Before you start your AEO content audit

The audit produces nothing useful if these three conditions are not met. Confirm them before scoring.

1. You have access to Google Search Console for the site. The audit ranks pages by current organic traffic, and that data lives in Search Console. Without it, prioritization becomes guesswork.

2. You have a baseline citation rate measurement. Even a single manual run of 30 buyer-intent prompts through ChatGPT, Perplexity, and Google AI Overviews produces enough baseline data to compare against post-audit. If you have never measured citation rate, do that pass first. The audit's value is in the delta between current state and post-retrofit state.

3. You can dedicate a focused 90 minutes to the audit. Splitting it across multiple short sessions reduces the consistency of scoring and produces noisier output. Block the time. Run the audit in one block.

The 14-point framework

Each point scores 0 to 5 where 0 means the element is missing or wrong and 5 means the element is fully implemented to current best practice. Most pages will score 2 or 3 on most points. Score honestly. The audit is useless if you grade favorably.

Content structure (5 points each, 20 total)

Point 1. BLUF section openings. The first sentence under each H2 directly answers the question the H2 implies. Buried answers below preamble score 0. Direct answers score 5. Most B2B content scores 1 or 2 because the writer was trained to set up the topic before delivering the answer.

Point 2. Self-contained passage extractability. Each paragraph makes sense in isolation without depending on the previous paragraph. Pronouns that refer back to earlier content fail. Phrases like 'as discussed above' fail. The test is whether the AI engine could lift any single paragraph and use it as a citation without losing meaning.

Point 3. Section chunk size discipline. No content block exceeds approximately 150 to 200 words without a subheading break. AI extraction works in chunks of roughly 200 to 500 tokens. Long unbroken sections get split across chunk boundaries and damage extractability. Score by counting the longest unbroken prose block on the page.

Point 4. Question-based H2 phrasing. H2s are phrased as questions or as direct answers to questions buyers actually ask, not as marketing-style topic labels. 'How to set up SSO for enterprise accounts' scores higher than 'Identity and access management.' Score by the percentage of H2s that read as buyer queries.

Schema implementation (5 points each, 15 total)

Point 5. FAQPage schema deployed. The page has FAQPage JSON-LD in the per-page custom code, and the schema matches visible Q and A content on the page. Score 0 if no schema, 3 if schema exists but has fewer than 4 questions or marketing-style questions, 5 if schema is properly implemented with real buyer questions.

Point 6. Article schema with author entity reinforcement. The page has Article JSON-LD with proper author, publisher, datePublished, and dateModified properties. Bonus points if the author Person entity includes sameAs property linking to LinkedIn or other authoritative profiles. Most B2B sites score 2 here because the schema exists but the author is generic.

Point 7. Schema validates and matches visible content. Run the page through Google Rich Results Test. If the schema validates without errors and accurately reflects the visible content, score 5. If validation throws errors, score 0 regardless of how comprehensive the schema is. Broken schema is worse than no schema.

Entity reinforcement (5 points each, 15 total)

Point 8. Named entity density throughout. The page mentions specific named entities (your brand, products, people, clients, frameworks, named statistics) at meaningful density rather than generic placeholder language. Pages saturated with 'leading platform' and 'industry-leading solution' score 0. Pages with specific named references score 5.

Point 9. Brand consistency with third-party surfaces. The way the page describes your company aligns with how G2, Capterra, Crunchbase, and Wikipedia describe you. Inconsistency damages entity recognition. Score 0 for major inconsistency. Score 5 for full alignment.

Point 10. Internal linking to related pillar and cluster content. The page links to relevant pillar pages and is linked from at least three other pages on the site. Orphaned content scores 0. Well-integrated content with both inbound and outbound links scores 5.

Platform-specific signals (5 points each, 20 total)

Point 11. Recency or freshness signals. The page has been updated within the last 12 months and the dateModified property reflects the actual update. Pages last touched two years ago score 0. Pages updated in the last quarter score 5. This matters most for Perplexity, which weights freshness more heavily than the other engines.

Point 12. Bing crawlability and indexation. The page is indexed in Bing and not blocked by robots.txt or other technical issues. Run site:yourdomain.com inurl:slug in Bing to confirm indexation. This matters most for ChatGPT, which retrieves through Bing. Score 0 if not indexed in Bing, 5 if indexed and showing in Bing search results for the target query.

Point 13. AI crawler access. The site's robots.txt explicitly allows GPTBot, PerplexityBot, ClaudeBot, and Google-Extended. Many B2B sites block these crawlers as a legacy anti-scraping move and lose AI citation eligibility entirely. Score 0 if any major AI crawler is blocked, 5 if all are explicitly allowed.

Point 14. Citation rate baseline against this page. Run the page's primary buyer query through ChatGPT, Perplexity, and Google AI Overviews. Count the number of engines citing the page. Score 0 if no engines cite, 1 to 3 based on engine count, 5 if all three engines cite the page.

Scoring and prioritization

Total possible score is 70 points. After scoring all 14 points for a page, sum the values. The total places the page in one of four prioritization tiers.

Tier one. Total score below 35. Full retrofit required. The page has fundamental structural issues that block AI citation regardless of underlying authority. These pages produce the largest absolute citation lift after retrofit because the gap between current state and good state is largest.

Tier two. Total score between 35 and 55. Targeted fixes required. The page has good bones but specific weaknesses. Identify the lowest-scoring points and fix those specifically rather than rewriting the entire page. Most B2B content lands in this tier.

Tier three. Total score between 55 and 65. Polish only. The page is nearly AEO-ready. Minor schema validation, freshness updates, or small structural tweaks complete the work. These pages should not be the priority unless they are top-traffic pages where every increment matters.

Tier four. Total score above 65. AEO-ready. Monitor and maintain. Reallocate optimization resources elsewhere.

Within each tier, prioritize by current organic traffic from Search Console. The pages with the highest existing traffic produce the largest absolute citation lift after retrofit because the underlying authority is already strong. Start where the volume is.

How long the audit actually takes

Per page, the audit averages 4 to 5 minutes once you have the rhythm. Twenty pages is roughly 90 minutes of focused work. The first three pages take longer because you are calibrating the scoring against the framework. By page 5, the rhythm is consistent. By page 10, you can score in 3 minutes per page.

The work breaks into four reading passes per page. Pass one is structural review. Read the page top to bottom looking for BLUF, chunk size, H2 phrasing, and self-contained passages. Score points 1 through 4. Pass two is schema and technical review. View the page source, run Google Rich Results Test, check Bing indexation. Score points 5, 6, 7, 12, and 13. Pass three is entity review. Check named entity density, third-party brand consistency, internal linking. Score points 8, 9, and 10. Pass four is recency and citation review. Check the modification date and run the prompt through the three engines. Score points 11 and 14.

How to interpret the audit results

The audit produces a ranked retrofit list, not a score. The score is intermediate output. The actionable artifact is the priority list.

Look for patterns across the audited pages. If most pages score low on points 1 and 2 (BLUF and self-contained passages), your team has a structural writing pattern that needs editorial guidance. The fix is a writing standard plus retrofit work. If most pages score low on points 5 through 7 (schema implementation), your CMS or production process needs a schema deployment pattern that runs by default. The fix is technical infrastructure plus retrofit work. If most pages score low on points 8 through 10 (entity reinforcement), your content lacks brand specificity and your third-party surfaces are inconsistent. The fix is editorial discipline plus a separate entity authority workstream.

The most common pattern I see in B2B audits is consistent low scores on points 1, 2, and 5 with reasonable scores everywhere else. The diagnosis is clear. The team writes well on traditional SEO criteria but has not yet adopted AEO-specific structural patterns. The fix is BLUF retrofitting plus FAQ schema deployment across the audit set, which produces visible citation rate movement within 60 days. That is the most common and most fixable pattern in B2B AEO.

How often to re-audit

Quarterly is the right cadence for most B2B teams. Re-running the audit every three months catches drift, validates that retrofit work moved scores, and identifies new pages that have aged out of AEO readiness.

Skip the full re-audit if you have not shipped retrofit work since the last pass. Without changes, the scores will be the same. Use the time for citation rate measurement instead. Track movement against the baseline to confirm the retrofit work is producing the expected lift. If citation rate has not moved despite retrofit work, the audit framework or the retrofit execution needs review rather than another scoring pass.

Frequently asked questions

What is an AEO content audit?

An AEO content audit is a systematic review of existing content to identify which pages are structured for AI engine citation and which need retrofitting. Unlike a traditional SEO audit that focuses on rankings, backlinks, and crawlability, an AEO audit evaluates whether AI engines including ChatGPT, Perplexity, and Google AI Overviews can extract and cite the content effectively. The output of a useful AEO audit is a prioritized list of pages to retrofit, ranked by which pages will produce the largest citation rate lift.

How is an AEO audit different from a traditional SEO audit?

Traditional SEO audits focus on signals that drive Google rankings including title tag optimization, internal linking, backlink profile, page speed, and technical health. AEO audits focus on signals that drive AI citation extraction including BLUF answer placement, FAQ schema, content chunk size, named entity density, and recency. The two disciplines overlap on technical health and content quality, but diverge on structural patterns specific to passage extraction. The most efficient B2B teams run AEO audits as a layer on top of traditional SEO audits rather than as a separate process.

How many points should a good AEO audit checklist have?

Between 10 and 20 points is the practical range. Below 10 points, the audit misses important signals and produces too much false confidence in pages that score well. Above 20 points, the audit becomes too long to run consistently and teams stop completing it. The 14-point framework is calibrated for completeness while staying executable in a single afternoon for a typical B2B audit set. Frameworks above 30 points are usually padded for marketing purposes rather than practical execution.

How long does an AEO audit take?

Approximately 90 minutes for a top 20 page set on a typical B2B site, once you have the rhythm. The first three pages take longer because you are calibrating the scoring against the framework. By page 5, the rhythm is consistent and per-page audit time drops to 3 to 4 minutes. Larger audit sets scale linearly. A full top 50 page audit is roughly 3.5 hours of focused work. The work breaks into four reading passes per page. Structural review, schema and technical review, entity review, and recency and citation review.

What pages should I audit first?

Top 20 pages by organic traffic from Google Search Console. These pages have the highest absolute volume of existing rankings and produce the largest absolute citation lift after retrofit because the underlying authority is already strong. After the top 20, expand to pillar pages and cluster hubs even if they are not in the top 20 by traffic. Pillar pages disproportionately affect AI engine treatment of every spoke that links to them, so retrofit work on pillars compounds across the cluster.

How often should I re-run the AEO audit?

Quarterly is the right cadence for most B2B teams. Re-running every three months catches drift, validates that retrofit work moved scores, and identifies new pages that have aged out of AEO readiness. Skip the full re-audit if you have not shipped retrofit work since the last pass. Without changes, the scores will be the same. Use the time for citation rate measurement instead, tracking movement against the baseline to confirm retrofit work is producing the expected lift.

What does a good AEO audit score look like?

Total scores above 55 out of 70 indicate AEO-ready content. Scores between 35 and 55 indicate targeted fixes are needed. Scores below 35 indicate full retrofit is required. Most B2B content audited for the first time scores between 25 and 45, reflecting that most teams have not yet adopted AEO-specific structural patterns. After a focused retrofit program, average scores typically move into the 45 to 60 range within 90 days. Movement toward 60 plus across the audit set is what citation rate lift looks like measured at the audit framework level.

Can I run this audit if I do not have technical SEO expertise?

Yes, with one limitation. The schema validation steps (points 5, 6, 7) require running pages through Google Rich Results Test and viewing page source for JSON-LD. These are accessible to non-technical marketers but require willingness to interact with developer tools. The Bing indexation check (point 12) and AI crawler access check (point 13) require checking robots.txt and search results. These are similarly accessible. The remaining 10 points are content-focused and do not require technical expertise. If your team is purely content-focused, partner with a technical SEO contributor for the technical points or accept that those points may be scored by best-effort guessing rather than verification.

What is the most common pattern revealed by AEO audits?

Consistent low scores on points 1, 2, and 5 (BLUF, self-contained passages, FAQ schema) with reasonable scores everywhere else. The diagnosis is that the team writes well on traditional SEO criteria but has not yet adopted AEO-specific structural patterns. The fix is BLUF retrofitting plus FAQ schema deployment across the audit set, which produces visible citation rate movement within 60 days. This is the most common pattern and also the most fixable pattern in B2B AEO.

Should I score my own content or have an outside team do the audit?

Internal audit works if the team can score honestly without grading favorably. The audit becomes useless when the scorer is invested in the content looking good. Outside audit works when the team has scoring discipline and is prepared to defend hard scores against internal pushback. Most B2B teams benefit from outside audits for the first pass to establish the baseline rigorously, then transition to internal scoring once the standard is calibrated. The hybrid approach combines outside rigor with internal velocity.

How do I score schema if my CMS handles it automatically?

Many CMS platforms generate schema automatically without exposing it to non-technical editors. The audit still requires verification. Run the page through Google Rich Results Test to see what schema the platform generated and whether it validates. View the page source to confirm the JSON-LD is present. CMS-generated schema is often incomplete or generic, so do not assume automatic schema means full points. Verify against the visible content and the framework requirements.

What if my audit reveals my whole site needs to be retrofitted?

Common outcome. Most B2B sites audited for the first time produce results showing 70 percent or more of pages need retrofit work. The right response is not panic. It is sequencing. Retrofit the top 20 pages first because that is where the traffic is. Then move to pillar pages and high-authority cluster content. Then to the rest of the cluster. The full library retrofit takes 6 to 12 months at a sustainable pace. The first 20 page retrofit produces the majority of the citation rate lift because that is where the existing authority is concentrated. Trust the prioritization and resist the urge to retrofit everything at once.

Ready to run the audit on your B2B content library

The 14-point framework above is the audit MQL Magnet runs on every new client engagement. The discipline is straightforward. The hard part is dedicating the focused afternoon to actually run it without distraction and scoring honestly without grading the content favorably. Most B2B marketing teams know they should run an AEO audit. Few have the cycles to do it well alongside everything else marketing has to do.

MQL Magnet runs full AEO content audits as the starting point of broader engagements for enterprise tech companies. The output is a ranked retrofit list with estimated citation rate lift per page, plus the production work to execute the retrofits. If you want help running the audit on your library or want a baseline before scaling internal AEO investment, the next step is a 30-minute conversation.

Book time here