AI content optimization starts with making your pages readable

Before you rewrite anything, find out whether your content reaches the model at all. In most scans we run, the copy was never the problem.

Scan a URL freeNo account, no card. You get the score and the fix list.

Your business

Products, services and policies

What is missing

Details a customer needs

A clearer answer

Information you can publish

Conversion lift, AI-referred visitors vs search
~38%
Cyber Week 2025 retail data
Content negotiation vs llms.txt, accurate retrieval
~4.2x
300k-domain study, mid-2026

Do these in order, and stop when it works

Content optimisation for AI has three layers and they are not equally likely to be your problem. Working them out of order is how teams spend a quarter rewriting pages that an assistant was never able to fetch.

LayerThe questionHow often it is the problem
DeliveryDoes the content arrive at all?Most often, and least suspected
StructureCan the facts be found once it arrives?Frequently
WordingIs it phrased the way people ask?Real, but rarely the blocker

Layer one: delivery

  • Is the fetch allowed? Read every robots.txt line and CDN bot rule and ask whether you would write it today. Most assistant blocks were inherited, not chosen.
  • Does it survive without JavaScript? Prices, hours, fees and eligibility that render client-side are absent from what an agent receives.
  • Is the response affordable? Agents read under a token budget. A page that is mostly theme spends its budget before reaching your content.

The fix for all three is serving-layer work rather than content work, which is why it belongs to engineering and takes an afternoon rather than a quarter.

Layers two and three

Once the content arrives, structure decides whether the useful part survives summarisation. What helps a parser is unglamorous: the answer stated near the top, facts as facts rather than implied by design, and structured data that agrees with the prose. What does not help is heading density, keyword placement or word count, because there is no position in a generated answer to compete for.

  1. Put the answer first. For each template, find the offset of the first fact a person would ask about, and cut what sits above it.
  2. State facts explicitly. A price in an image, a fee in a tooltip and hours in a widget are all invisible.
  3. Make the markup agree. Fix disagreements between prose and structured data rather than adding more markup.
  4. Then write for the question. Phrase headings as the questions people actually ask, and answer them in the first sentence beneath.

What this does not do

Frequently asked questions

What is AI content optimization?

Making your content usable by AI systems. It has three layers: whether the content is delivered at all, whether the facts can be found once it arrives, and whether it is phrased the way people ask. The first is the most common failure and the least suspected.

Should I rewrite my content for AI?

Check delivery first. In most scans, the content was fine and never reached the model, so rewriting would have changed nothing. Only after a page demonstrably arrives is editing the highest-value work.

Does keyword density matter for AI?

No. There is no position in a generated answer to compete for, so the tactics built around occupying one have nothing to act on. What matters is that the fact is present, explicit and cheap to reach.

What structure do AI systems prefer?

Answers near the top, facts stated explicitly rather than implied by layout, and structured data that matches the visible text. Nothing exotic, and nothing that requires a special format.