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.
Visual explanation
Specificity begins with supportable claims
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.
How we sourced this guide
This is practitioner guidance, not a study. It reflects how Gadex runs content production across the sites it operates, checked against the current public documentation of the search and answer engines it describes. There is no proprietary dataset behind it and no sample to cite.
Where a platform’s behaviour is stated, it is drawn from that platform’s own documentation at the time of the update shown above — search and AI systems change without notice, so verify anything you are about to act on. Where a claim could not be supported, it is framed as our practice rather than as fact. See our methodology and editorial standards for how pages are researched, reviewed, and corrected.
Next step
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