AI assistants read web pages very differently to how a human scans them. A page that looks clear and well-designed to a visitor can still be hard for a model to parse if the underlying structure is messy. A few practical changes make a real difference.
Use real headings, not just bold text
Proper heading tags (H1, H2, H3) give AI tools a clear map of a page’s structure. Text that is only made to look like a heading with bold or large font, without the actual heading tag, is much harder for a model to interpret correctly.
Answer questions directly, near the top
If a page is meant to answer “how much does this cost” or “do you deliver to my area”, state the answer clearly early in the content rather than building up to it after several paragraphs of introduction. AI tools tend to favour content that gets to the point.
Add a genuine FAQ section
FAQs written as real questions and direct answers are some of the most easily extracted content for AI tools. Base these on the actual questions customers ask, not generic filler questions.
Keep facts consistent across the page and the site
Contradicting details, such as different phone numbers or opening hours on different pages, undermine an AI tool’s confidence in the entire page, not just the specific detail that is wrong.
Use plain language over marketing language
“We deliver across Selangor within 24 hours” is easier for a model to use confidently than “We pride ourselves on lightning-fast, unmatched delivery excellence.” Specific, factual statements extract better than abstract claims.
Structured data still helps
Schema markup, such as marking up your business details, services, and FAQs in a machine-readable format, gives AI tools and search engines a more reliable source than parsing visual layout alone.
The bigger picture
None of these changes require a full rebuild. They are the kind of improvements that can be made page by page, and they tend to improve the experience for human visitors as well as AI tools, since clear, direct content reads better for everyone.