AI Readability

Marketing explains why to buy; documentation explains whether and how it works and what happens on failure. Both matter after an AI recommendation. This article turns the issue into a repeatable content, governance, and commercial workflow.

Visitors from AI summaries have already seen part of an answer, so the landing page must confirm context instead of repeating a generic slogan. This article turns the issue into a repeatable content, governance, and commercial workflow.

Images should not be decoration only. Infographics need explanatory copy, accurate alt text, sources, and an accessible text version.

SEO/GEO inner pages need more than copy; categories, parent topics, related services, and next actions must connect.

AI may use only a small passage from a page. Design definitions, conclusions, numbers, sources, and limits that stand alone.

AI referrals arrive with context. Design the answer handoff, first screen, navigation, form, and next action to reduce mismatch.

FAQ pages can become repetitive quickly. Use role, situation, conditions, answer, proof, and next action to build useful FAQs.

When buyers ask “can it integrate,” they need versions, prerequisites, limits, and examples. Make integration docs discoverable and usable.

Video is expressive but not automatically searchable. Turn interviews, demos, and podcasts into accurate transcripts, chapters, evidence, and localized pages.

Answer-first does not mean reducing an article to a summary. Structure conclusions, conditions, steps, evidence, limits, and CTAs for humans and AI.

Many company websites are confusing to AI systems. This article explains the technical reasons and practical fixes.