How to avoid generic AI content

Narrow the question

A page should not try to explain everything about a broad topic. Define the reader, the situation, and the decision the page should help with.

For example, write for a marketing lead preparing CMS-ready SEO articles, not for anyone interested in content marketing.

Add concrete material

Useful pages include:

• Examples.
• Steps.
• Comparisons.
• Implementation notes.
• Source-backed facts.
• Internal links to related pages.

These details make the article harder to confuse with generic summaries and easier for a buyer to use.

Use the company context

Generic drafts often ignore six real constraints:

• The site.
• The offer.
• The buyer.
• The CMS.
• The market.
• The approval process.

Add those constraints before expanding the draft.

For Gadex-style content, that means showing how the article supports a priority page, what sources matter, and what needs to be prepared for publishing.

Cut unsupported claims

AI drafts often include broad claims that sound plausible but do not help. Remove vague benefits, unsupported statistics, and advice that could apply to any company.

Vague: "this approach drives more traffic and builds trust." Specific: name the mechanism, the constraint, or the source that backs the claim up.

Replace them with narrower statements, examples, or source-backed explanations.

Check for interchangeable copy

A useful test is whether the article could appear on a competitor site with only the brand name changed. If it could, it needs more specific examples, constraints, and links.

The article should show a point of view about what the reader should do next.

Keep AI inside the workflow

AI can help with outlining, drafting, rewriting, and QA prompts, but it should not decide the page strategy by itself.

The workflow should still include a brief, source review, editorial pass, internal links, metadata, and CMS notes.