Ensure blog content consistently covers your core expertise areas rather than scattering across unrelated topics. AI engines build authority models - a site about "Medicare coverage" that also publishes about humidifiers and groceries dilutes its topical authority.

Add more proper nouns throughout content - named sources, organizations, tools, studies, and locations. Cited text averages 20.6% proper nouns; most sites fall well below 15%.

Write 20-25 word self-contained answer sentences immediately after each H2 heading. 72.4% of AI-cited posts use this pattern - it gives engines a ready-made snippet to quote.

Shorten sentences to under 25 words, use active voice in lead paragraphs, define jargon inline, and avoid hiding content behind accordions or display:none.

Define the primary entity in the first 500 characters, use consistent terminology (same term 70%+), and add "unlike X" signals to help AI engines distinguish your topics.

Add a short visible note on AI-assisted pages explaining what role AI played, how humans review the output, and why automation is used. Google's helpful-content guidance asks for disclosure where readers would expect it, and undisclosed AI chat residue erodes trust.

Wrap images in <figure> elements with descriptive <figcaption> tags. Write alt text with 5+ words that describes the image content, not just "image" or "photo".

Use semantic HTML5 elements (main, article, nav, header, footer, section) to give AI parsers clear content structure. Add lang attribute and ARIA labels for accessibility.

Add hreflang alternate links and HTML lang attributes so AI engines can identify and serve the correct language version. Without these signals, AI engines may cite the wrong language or treat translations as duplicate content.

Trim oversized HTML markup, reduce DOM complexity, and externalize large inline CSS/JS payloads. Lighter documents are faster for AI crawlers to fetch and parse.