How AI SEO helps customers understand your business

Half the industry uses AI SEO to mean writing content faster with a model. The other half means making your site legible to the models. Those are unrelated projects, and only the second changes what an assistant can tell someone about you.

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

The two meanings

AI for SEOSEO for AI
What it meansUsing models to produce SEO workMaking your site usable by models
What it changesYour production speedWhat an agent receives from your server
Who reads the resultSearch crawlers, then peopleA parser on a token budget
Is it newNo, it is a faster version of existing workYes, the reader is new
Risk if done badlyThin content at scaleBeing unreadable and not knowing

Both are legitimate. They are simply not the same purchase, and conflating them is how a team ends up with a content generator when their actual problem is that assistants cannot fetch their pricing page. The rest of this page is the second column.

What SEO for AI actually requires

Four things, in this order, because a failure early makes everything after it irrelevant. Most sites fail one of the first two and have never been told.

  1. The fetch is allowed. A robots.txt line or a CDN bot rule ends it silently, with no error on your side.
  2. The response is parseable without a browser. Facts that appear only after JavaScript runs do not exist to an agent.
  3. The facts are cheap to reach. Agents read under a token budget, so a first fact buried behind markup may be skipped for a shorter source.
  4. The facts agree with themselves. When your prose and your structured data differ, the assistant picks one and you do not choose.

What the change is worth, measured

Two reference captures, deterministic and rebuilt from committed fixtures on every build. They are quoted separately and never averaged, because a product page and a services page carry different amounts of chrome.

CaptureBeforeAfterFirst fact moves
Commerce product page91,226 bytes1,315 (−98.6%)Character 23,185 → line 4
Clinic services page13,581 bytes1,412 (−89.6%)Character 10,152 → line 8

That is roughly 69× less context on the commerce capture and 9.7× fewer tokens on the document one, for identical facts. Use whichever matches your own site.

What this does not do

Frequently asked questions

What is AI SEO?

The term is used for two different things: using AI tools to produce SEO work faster, and optimising a site so AI systems can read and use it. They are unrelated projects, and it is worth checking which one a vendor means before buying.

Is AI SEO different from regular SEO?

The second meaning is. Classic SEO optimises for a crawler and then a person in a browser; this optimises for a parser on a token budget, where layout stops helping, client-rendered content stops existing, and markup size works against you.

Does AI SEO replace traditional SEO?

No. Classic search still sends most of the traffic on most sites, and the crawlability and speed work it rewards is the same work an AI system needs. This adds a serving-layer discipline rather than replacing anything.

What is the first thing to fix?

Whether the fetch is answered at all. Check your bot rules and CDN filters before touching content: a blocked agent cannot be helped by anything you write.

Will this hurt my Google rankings?

No. Content negotiation returns the same substance in another format and search crawlers keep receiving canonical HTML. Different prices or availability by requester would be cloaking; a format transformation of identical facts is not.