
TL;DR: Twelve specific checks, grouped into structure, content, and technical categories, catch most AEO problems before a piece ever goes live. Structure checks confirm the opening answers the core question standalone and headings read as natural questions. Content checks confirm the answer is complete, specific rather than generic, and factually current. Technical checks confirm the page is crawlable, has valid schema, and renders correctly on mobile. Running this checklist before publishing catches issues while they cost minutes to fix, rather than discovering them months later during a broader audit when the fix requires reworking already-published, possibly already-linked content.
Catching an AEO structural problem before a piece publishes costs a few minutes of editing. Catching the same problem three months later during a broader content audit costs considerably more: reworking a published, possibly already-linked and indexed piece, re-testing it, and potentially losing months of missed citation opportunity in between. This is the checklist built specifically to run before publishing, not after.
A periodic audit, run quarterly across an existing content library, has the luxury of comparing pages against each other and against competitor content that's had time to publish and compete. A pre-publish checklist has no such luxury; it needs to catch what's checkable about a single piece in isolation, before it's live and before any citation data exists to evaluate it against. This means the pre-publish checklist leans more heavily on structural and mechanical checks, things confirmable without waiting for real-world performance data.
Structure checks are listed first deliberately, since they're the fastest to run and catch the most common, most consequential issues. purple path's blueprint for structuring one blog post for both audiences covers checks one and two in depth; running these first, before investing time in the more nuanced content checks, means a structurally broken piece gets flagged and fixed before anyone spends additional review time on content the structure would have undermined anyway.
Confirming a claim is specific and distinctive rather than generic requires a judgment call that's harder to apply mechanically than a technical check like schema validation. purple path's analysis of why some content gets paraphrased without credit covers exactly why this check matters: a generic claim gets absorbed into a broader answer without citation, while a distinctive one has a clear reason to be named directly. Reviewers should specifically ask, "does any other published source make this exact claim in this exact way," and treat a "yes" as a signal the claim needs sharpening before publishing.
Unlike most items on this list, which evaluate the piece in isolation, checking for fragmentation requires searching the existing site for related content on the same topic and confirming the new piece isn't creating a third or fourth thin page on a subject that should have one genuinely complete answer somewhere. This check takes slightly longer than the others, which is why it's worth budgeting a few extra minutes for it specifically rather than rushing through it as quickly as the more mechanical items on the list.
FAQ and How-To schema live in a page's underlying code, invisible during a normal visual review. purple path's analysis of why structured data still matters for AI citation covers the specific risk of a schema implementation that looks correct visually while containing a mismatch or syntax error in the underlying markup, which only a validation tool run directly against the page catches reliably.
Internal links connecting a new piece to related existing content support the site-level topical authority signal that helps individual pages earn citation with more confidence. A new piece published in isolation, with no links to or from related existing content, misses an opportunity to reinforce the broader topical cluster it belongs to, weakening the site-level signal that indirectly supports the new piece's own citation chances.
Once a team is familiar with all 12 items, running through this checklist on a single piece typically takes ten to fifteen minutes, which is a modest addition to a normal editorial review process. Building the checklist directly into whatever content management or approval workflow already exists, as a required step before a piece moves to published status, keeps it from being skipped under deadline pressure, which is the most common way a well-intentioned checklist quietly stops being used in practice.
A checklist stored in a rarely-accessed shared drive folder tends to get skipped once the initial enthusiasm for adopting it fades. Embedding the 12 items directly into whatever tool the team already uses daily, a content management system's publishing workflow, a project management tool's task template, or even a pinned message in the team's regular communication channel, keeps it visible at exactly the moment it needs to be applied, rather than requiring someone to remember it exists and go looking for it.
A written checklist alone doesn't fully convey the judgment involved in items like distinctiveness or standalone completeness, which benefit from seeing a more experienced reviewer actually apply the check to real content and explain their reasoning. Pairing a new writer or editor with someone experienced for their first several checklist runs builds the underlying judgment faster than expecting the written list alone to convey everything a mechanical description can't fully capture.
Ideally yes, though some checks are more critical than others; a failure on the technical checks, particularly indexability, should block publishing entirely, while a borderline case on distinctiveness might be worth a quick editorial judgment call rather than an automatic block.
This checklist evaluates a single piece in isolation before it goes live, using only what's checkable without real-world performance data. A quarterly audit, covered separately, evaluates already-published content against actual citation performance and competitive activity that's accumulated over time.
Both ideally, with the writer doing an initial self-check during drafting and a separate editor running the full checklist independently before approval, since a second, less emotionally invested reviewer often catches structural issues the original writer has become too close to the piece to notice.
Several items, particularly the technical checks and schema validation, can be substantially automated with existing tools. The structure and content judgment checks currently still require human review, since they depend on reading comprehension and distinctiveness judgment that automated tools don't yet reliably replicate.
Publishing with known issues and scheduling an immediate follow-up fix is preferable to skipping the checklist silently, since at minimum the known gaps get tracked and addressed promptly rather than becoming an invisible, unaddressed problem discovered only much later during a broader audit.
Building this 12-point checklist into your standard publishing workflow catches most AEO problems while they're still a five-minute fix rather than a quarterly audit finding. Talk to purple path about integrating this checklist into your own content approval process.

Dave leads purple path's content team, getting clients' inbound, outbound, thought leadership, social, and video content running fast, and making sure it actually works. In an AI-saturated content landscape, he's focused on the thing that still wins: content that engages and delivers real value.He's spent his career shaping content marketing strategy for SaaS companies globally, and previously as Head of Content at Minit Process Mining and Senior Copywriter at Exponea. He also built and exited his own company, Elite Language Center, over nearly nine years as CEO. His work has been featured in Forbes, and he's increasingly focused on LLM visibility, making sure content shows up where AI-driven search is heading next (GEO/AEO).