An AI-assisted article can read smoothly from top to bottom and still be hard to navigate with a screen reader. Before publishing, check the text structure a reader will encounter: headings that describe each section, links that identify their destination, lists that stay meaningful out of context, and a reading order that matches the intended sequence. These are editorial checks; the publishing system must also mark up the content correctly.
This guide covers the written content of an AI-assisted page. It does not certify a website or replace testing of forms, keyboard access, color contrast, images, or code. For a separate check of whether a rewrite keeps your original claim, use the meaning-preserving editing guide.
Why a fluent draft can be hard to navigate
Many readers scan a page by headings and link text. Assistive technology can expose those elements as navigation points when the page uses the right structure. The W3C Web Accessibility Initiative's writing guidance explains why descriptive headings and meaningful link text help readers locate information. A polished paragraph cannot repair a heading that says only “More” or ten links that all say “click here.”
AI can suggest headings and links, but it does not know which destination matters in your published page or which information a reader needs first. The writer must make those decisions, and the content system must preserve them in the final page.
Start with the reader's route through the page
Write the page's main answer in one sentence. Then list the decisions or actions the reader needs in order. Each major section should answer one of those needs. If two sections both say “Benefits,” distinguish their purpose or combine them. If a procedure must be followed in sequence, keep that sequence in the visible content instead of relying on visual columns or placement alone.
Read only the headings, without their paragraphs. Can you tell what the page covers and where to go next? The W3C heading tutorial describes headings as a way to communicate page organization and support in-page navigation. In a published page, a visual bold line is not enough: it needs the correct heading markup.
Make headings specific, then preserve their hierarchy
For an article about reviewing a draft, “Check source claims” tells a reader more than “Important considerations.” Use a page title for the main subject and nested section headings for subtopics. Do not choose a heading level only because its font looks good. Check that the published page has the hierarchy you planned; the editor's Markdown or document styles should produce real heading elements.
Rewrite links so their purpose is clear
Read the link text alone. “Read the W3C guide to writing accessible content” names the destination. “Click here” does not. When several links lead to different resources, each should let a reader distinguish what will open. The W3C guidance recommends descriptive link text and discourages vague phrases such as “read more.”
Do not force the destination title into every sentence. A short description of the reader's next task is often more natural. For example, after a section about dense AI prose, a link to the readability-score editing workflow would be useful only after that page is actually live. Until then, keep the current page's answer self-contained and link to an existing guide instead.
For the current page, the natural next step after making headings and links navigable is to check AI-generated claims against their sources. Clear navigation does not make an unsupported statement true.
Keep lists and tables understandable when read in order
A list should have a lead-in that explains what its items are. Keep each item parallel enough that the sequence is easy to follow, but do not flatten different conditions into identical commands. In a table, use short, descriptive column names and read a row aloud from left to right. If a row makes sense only because of its color or position, add the missing words.
This is especially important with AI output that uses a table for visual neatness. A table can make a comparison compact; it can also hide which condition applies to which action. If the relationship is simple, sentences or a numbered list may serve the reader better. The final HTML or document still needs correct table headers and reading order, which is outside a text-only rewrite.
Worked example: from generic labels to a usable path
The following is a fictional teaching example, not a screen-reader test or an accessibility certification.
An AI-assisted help article about a fictional writing account has these headings and links:
Overview → More → Other things → Next steps
“Click here” to change settings. “Learn more” about exports. “Read more” about billing.
A reader skimming only the headings cannot know where the setting is, and a reader examining links alone cannot distinguish three destinations. A clearer outline would be:
Check your writing settings → Export a copy of your draft → Review your billing options
The links could read “change your writing settings,” “export a copy of your draft,” and “review billing options,” provided those are the actual destinations. Notice that the revision does not add a claim about what any real Humanizer.help account can do. It demonstrates how to match words to a fictional page's real tasks.
| Element | Weak wording | Reader question answered by revision |
|---|---|---|
| Heading | “Other things” | Which task is in this section? |
| Link | “Learn more” | Which destination will open? |
| Step | “Do this next” | What action comes next, and when? |
After editing the words, inspect the published page. A good heading written in Markdown can still fail as a navigation cue if the site renders it as plain bold text.
A content review before publication
Use this pass on the rendered article, not only on the draft:
- Read the page title and headings as an outline. Rename vague sections and check the heading order.
- Read each link without its surrounding paragraph. Name the target or action in the anchor text.
- Read procedures and table rows in their actual order. Restore any missing condition or relationship.
- Check that essential information is in text, not conveyed only by placement, color, or an image.
- Verify the final HTML or document exposes the headings, links, and list or table structure you intended.
- Ask someone who uses assistive technology to review the result when possible, especially for important services. Record what they actually found rather than claiming a test you did not run.
The Northeastern University accessibility prompt guide offers prompts for clearer headings, plain language, and link text. Treat a prompt as a drafting aid. It cannot inspect the final publishing system or decide whether your link label matches the destination.
Where this checklist stops
Text edits cannot establish full accessibility. A page also depends on semantic HTML, images and alternative text, keyboard behavior, contrast, and the platform that delivers it. The W3C's preliminary accessibility checks can help identify issues to investigate, but a content-only review is one part of the work.
That boundary is useful. It lets an editor improve what they control and hand off the remaining checks to the people responsible for the website or document format.
FAQs
Can a prompt make AI-generated content accessible by itself?
No. A prompt may produce better headings and link wording, but a person still needs to check meaning and the rendered structure. The final site or document needs its own accessibility review.
Is a bold line the same as a heading?
No. It may look like a heading, but assistive technology needs the underlying heading markup or document style to identify it as one. Check the published output.
What should link text say?
It should identify the destination or action in context. A reader should not have to guess which page “click here” opens.
About Humanizer.help Editorial Team
The Humanizer.help editorial team writes practical AI writing guides for students, ESL writers, and academic drafts that need clearer, more natural English.
Related Articles

How to Humanize AI Text Without Changing the Meaning
A meaning-preservation workflow for students who want smoother AI-assisted writing without semantic drift.

How to Use Readability Scores When Editing AI Writing
Use readability scores to find dense AI-assisted prose, then make meaning-first edits and verify what readers can actually understand.

How to Fact-Check AI-Generated Text Before You Use It
Use a source-first workflow to verify claims, citations, quotations, dates, and numbers in AI-assisted drafts before publishing or submitting them.
