AI Content: A Quality Checklist Before Publication

An article can be well written yet provide poor guidance. An image may appear credible but depict a different product. Quality control of AI content must assess what the audience will understand and do before refining the final stylistic details.

This checklist is designed for articles, commercial pages, and marketing materials prepared with AI. It organizes validation into observable decisions: keep, correct, confirm, or remove. You can assign it to multiple people, provided one person remains responsible for the published version.

1. Verify That the Content Solves a Specific Problem

Write in one sentence the reader’s question and the action they can take after reading. Compare this sentence to the actual content. If the title promises a method, the text must provide steps and decision criteria. An introduction that merely repeats the title does not substitute for an answer.

Remove paragraphs that only announce the topic’s importance. Retain examples, distinctions, and explanations necessary for action. Google offers a self-assessment for content usefulness and reliability. Your concrete check is to ensure a reader can progress without immediately seeking essential elements elsewhere.

Test Reader Autonomy

In a fictional example, an article on preparing a newsletter states "choose an editorial line" without explaining how. Add a criterion: recurring subject, audience, and benefit of each edition. Then provide an example choice. The value lies in this precision, not in an additional paragraph about the email’s importance.

2. Separate Facts, Examples, and Promises

Identify numbers, quotes, job titles, prices, dates, and causal claims. For each, find an appropriate source and verify what it actually says. A link to a general page does not support a specific claim. If you cannot confirm a detail, remove it or present its limitation.

Announce fictional cases as such. A simulation can explain a method without claiming to describe obtained results. Do not turn an example into a testimonial, nor a model suggestion into an experience lived by your company.

Review commercial promises with the offer manager. "Can help you prepare a draft" and "automatically publishes on all your channels" describe different capabilities. Verify each function in your setup and the options of the relevant account. Enabled tools may vary.

3. Check Reasoning and Brand Voice

Read the structure alone: titles, first sentences, and lists. Verify it follows a comprehensible path. A step should not depend on information introduced too late. Recommendations must specify the conditions under which they are useful.

Then review the tone. Remove unsubstantiated superlatives, mechanical transitions, and repetitions. Replace vague words with concrete objects: "approved document" is more precise than "relevant resource." Technical terms have their place when they help the reader make a decision.

If initial requests were ambiguous, also correct your prompt writing method. Final correction remains necessary, but a more precise brief limits the recurrence of the same errors in future content.

4. Examine Images, Links, and Final Rendering

Open each image in full size. Examine objects, hands, product details, and elements that might suggest nonexistent capabilities. For commerce, an ambiance visual should not become misleading proof of the sold product’s features. The guide to preparing credible product photos details this choice.

Write alternative text that describes the scene useful to the reader. Avoid stacking keywords there. Also check rights and necessary permissions for source content and identifiable people or voices used in creation.

Click on links and the call-to-action button. The anchor must announce the actual destination. Review the page on targeted devices: cut-off titles, overly wide tables, and unreadable blocks can make a good explanation difficult to use. For media, verify the final version of sound and associated texts.

5. Decide and Keep a Validation Record

Use three simple decisions: ready, to correct, or to confirm. A punctuation error can be corrected directly. An uncertain product feature must await the manager’s validation. A central false fact requires revising the argument, not just changing a word.

This prompt can help prepare the review without delegating the final decision:

Review the content below for [audience] and [objective]. Do not rewrite it entirely. Produce a table with: exact passage, observable problem, consequence for the reader, proposed correction, and necessary human verification. Look for unsupported claims, feature promises, contradictions, examples presented as facts, and impossible steps to execute. Do not invent any sources. Flag links and visuals requiring separate checks. End with blocking questions before publication. Content: [version to review]. Approved references: [documents].

Then apply this checklist to the version that will actually be published:

• The title’s promise matches the provided answer.
• The reader has the necessary steps and criteria.
• Specific facts rely on verified references.
• Fictional examples are flagged and quotes are accurate.
• Capabilities and commercial conditions are confirmed.
• Images and their descriptions correspond to the message.
• Links, proposed action, and display have been checked.
• Blocking points have a responsible person and an explicit decision.

Keep the approved version and useful references. For recurring publications like a newsletter with a clear editorial line, reuse this framework for each edition. Open available templates to prepare your next draft with its validation criteria from the start.

Frequently Asked Questions

Is the same review needed for all content?

Adapt the review to what the content may cause. A commercial promise, technical instruction, or attributed quote requires more thorough control than an internal title suggestion.

Can a second AI validate the first?

It can flag problems and prepare questions. Sources, functions, links, and renderings must still be concretely verified by the person responsible for publication.