AI can produce a polished article that still excludes readers: section headings exist only as bold text, chart findings appear only in an image, and three different links all say “learn more.” Accessibility needs its own editorial review, not a passing mention in a brand checklist. The practical goal is to preserve meaning and functionality across different ways of reading, navigating and interacting. That requires checking both the content and its published presentation. Build the workflow around three stages: AI-assisted issue detection, human review of meaning, and verification in the CMS preview. Treat the process below as a starting point for reducing barriers—not as a complete WCAG conformance assessment or a promise of higher rankings and conversions.

Assign ownership before drafting

Accessibility failures often fall between editorial and engineering. An editor can write a descriptive heading but cannot guarantee the template renders it correctly. A developer can expose an image alternative field but cannot know whether the image communicates a finding or merely decorates the page. Extend your AI-assisted content workflow and human review boundaries with explicit responsibilities. W3C WAI’s web accessibility guidance for developers is a useful reference for the implementation side. Assign a publishing owner who collects editorial approval and technical verification; do not let an AI-generated checklist become the approval itself.

  • Writer: Supply a logical outline, descriptive links, image-purpose notes and the information conveyed by charts or demonstrations.
  • Editor: Approve wording, text alternatives, reading order and the accuracy of media alternatives.
  • Web producer: Verify CMS field mapping and inspect the rendered page, not just the draft.
  • Engineering or accessibility specialist: Resolve template semantics, keyboard behavior, focus visibility, form labeling and other technical barriers.
  • Publishing owner: Record unresolved issues, responsible people and release decisions.

Review structure and links as navigation

Ask AI to extract the heading outline and list every link with its destination. Then have an editor read those lists without the surrounding prose. Can the headings explain the argument? Can readers distinguish the destinations? Following W3C WAI’s writing guidance, use meaningful headings and link text, then check that the CMS produces semantic heading elements rather than enlarged or bold paragraphs. Where the template supplies the article title as the main heading, use second-level headings for major body sections and third-level headings for their subsections. Select levels for structure, not appearance. Replace “click here” with a destination-specific phrase such as “Download the implementation checklist,” adding format or size when useful. Keep terminology consistent and expand unfamiliar acronyms when first introduced.

Choose image alternatives by purpose, not appearance

Do not ask AI to describe every image indiscriminately. First decide what the image contributes in this particular context. The W3C WAI image alternative decision tree distinguishes informative, functional, decorative and redundant uses. An informative diagram needs its meaning conveyed; an image-only link needs an alternative that explains the destination or action. A purely decorative image generally needs an empty alternative, implemented deliberately rather than by simply omitting the attribute. For charts, a short alternative is rarely enough. Provide the essential findings, values and relationships in nearby text or an accessible data table, following the guidance on complex images. Give AI the verified data and intended message; never let it invent values from an unclear visual.

  • Informative photo: Describe the relevant information, not every visible object.
  • Decorative cover: Confirm that it adds no unique information or function before assigning an empty alternative.
  • Functional image: Describe its action or destination, considering any accompanying link text.
  • Chart or diagram: Provide a concise identifier plus a complete, accessible explanation of the information readers need.
  • CMS handoff: Record the chosen treatment, approved alternative, location of any longer explanation and reviewer.

Include media and the next action in the review

A readable article can still lead to an inaccessible experience. For video, review captions against the actual recording: names, technical terms, speaker changes, timing and meaningful non-speech audio all matter. W3C WAI’s caption guidance explains why captions are more than dialogue alone. Provide appropriate transcripts and assess whether important visual information needs audio description; a transcript is not a universal substitute for these requirements. Then test the route from article to newsletter, download or demo request. Check keyboard access, visible focus, understandable labels, instructions, error feedback and confirmation messages. Editors own the clarity of those messages; technical reviewers own their implementation and assistive-technology behavior. Include linked documents in scope when they are necessary to complete the reader’s task.

A hypothetical B2B example: fixing a benchmark article

Imagine a software company publishing an AI-assisted onboarding benchmark article. Its original draft uses a bold “Results” paragraph as a heading, labels the central chart “performance graph,” and sends readers to a spreadsheet through “get it here.” In this hypothetical dataset, completion rates are 40% for one group and 55% for another. The revised article uses a semantic heading, “Completion rates by onboarding approach,” states both values in text, explains the 15-percentage-point difference without claiming causation, and supplies the underlying data accessibly. The link becomes “Download the onboarding benchmark data,” with the file format identified. The editor verifies the data and wording; the producer checks the heading and image fields in preview; a technical reviewer tests the download route. These changes address specific barriers without claiming measured commercial lift.

Use AI to prepare findings, not certify accessibility

Give the model the draft, heading levels, link destinations, media inventory and approved source data. Ask for an issue list with evidence, not a rewritten article that may introduce new errors. Separate what the model can inspect from what requires a browser, assistive technology or specialist judgment. As W3C WAI explains in its accessibility evaluation overview, no tool alone can determine whether a site meets accessibility standards. A model reviewing pasted text cannot verify keyboard navigation, actual page semantics or screen-reader output. Use this reusable instruction as a review aid:

  • Review prompt: “Review this content for potential editorial accessibility barriers. Use only the supplied draft, destinations, media-purpose notes and verified data. For each finding, quote the affected content, describe the potential barrier, propose a correction and identify the human owner. Check heading logic, link clarity, unexplained terminology and whether essential visual or audio information has an appropriate alternative. Do not invent image details, data or media content. Mark anything requiring rendered-page inspection as ‘not verified.’ Do not declare WCAG conformance or accessibility certification. Return findings before suggesting rewrites.”

Define release blockers and a CMS handoff record

Set release rules before the deadline makes every issue negotiable. The following are practical team-level blockers, not an exhaustive list of accessibility requirements. Hold an affected asset when essential information is unavailable in an appropriate alternative form or when the main user task cannot be completed. Log other findings with severity, an owner and a due date, without treating deferral as proof of compliance. Store the page URL or preview, content version, approved alternatives, test scope, findings and resolution evidence together. Verify the live page after publication because rendering, embeds and templates can differ from the editor preview.

  • Missing essential information: A key chart, diagram or image-only instruction has no adequate text equivalent.
  • Unusable primary action: A keyboard user cannot complete the newsletter or lead-generation route.
  • Media barrier: Required captions or other necessary media alternatives are absent or materially inaccurate.
  • Broken implementation: The CMS drops approved alternatives or renders a misleading document structure.
  • Incomplete verification: An identified blocker remains unresolved, or the affected component has not been retested after a fix.

Run a small pilot and measure defects, not confidence scores

Start with five assets: two articles, one chart-led report, one video page and one conversion page. In week one, document a baseline and identify recurring template problems. In week two, apply the workflow, retest fixes and update the brief template. Track confirmed defects by type, the percentage of reviewed assets needing rework, time to resolve blockers and issues that escape into published pages. Record the denominator and review scope so a lower defect count is not mistaken for progress when fewer pages were checked. Bring in knowledgeable accessibility reviewers and, where possible, people with disabilities for task-based feedback. The immediate operational goal is repeatable access to information and actions—not a perfect automated score. Scale only when ownership, CMS behavior and verification are dependable.