AI search and the invisible word budget

Every new AI search surface reopens the same debate: do we need longer content?

The compression layer

Research suggests AI overviews and answer engines do not ingest your entire 4,000-word post. They extract snippets — entities, definitions, lists, quotable claims — and compress them into a answer budget.

That means:

1. Clarity beats length — one sharp paragraph beats three vague ones
2. Structure is machine-readable — headings, tables, FAQ blocks
3. Entities must be unambiguous — brand names, people, products linked to known IDs where possible

What I am testing

On this site I will document experiments: what gets cited, what gets ignored, and how traditional rankings interact with AI layers.

Practical takeaway

Write for humans first. Then audit: if a model had 400 words to represent this page, which 400 would it pick?

Make those 400 impossible to miss.