AI search and answer engines

There is more advice than evidence in this area, and a lot of it is being sold. So this module sticks to what the people running these systems have actually published, which turns out to be less dramatic and more useful than most of what you will read.

Google says there is nothing extra to do

This is the single most important thing on the page, and it comes from Google’s own documentation on AI features: “There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary.”

And, more pointedly: “You don’t need to create new machine readable files, AI text files, or markup to appear in these features.”

The eligibility requirement is that your page is indexed and eligible for snippets. That is it. Which means the work that gets you into AI Overviews is module 2, module 6 and module 9, already done, under a different name.

Google also notes that traffic from AI features already appears in the standard Performance report under the “Web” search type. There is no separate dashboard you are missing.

The llms.txt question, answered honestly

We publish an llms.txt generator and a validator, so treat what follows as evidence against our own interest.

llms.txt is a proposed convention for giving language models a curated map of your site. It is a reasonable idea. What it is not, currently, is something the major systems act on. Google’s AI features documentation says explicitly that no AI text files are needed. And the usage data is stark.

Originality.ai monitored over 3 million websites from June 2025 to May 2026 and found that 97 percent of llms.txt files received zero requests in May 2026. Where requests did happen, SEO audit tools were the largest single source at 21.7 percent, while AI retrieval bots accounted for 1.1 percent. Adoption itself grew 8.8 times over the year, from 4,088 sites to 36,120, which is the awkward part: adoption is climbing quickly and usage is not.

So: add one if you want your site to be legible to agents and developer tooling, which is a real if narrow benefit. Do not add one expecting a ranking or citation effect, and be sceptical of anyone selling it as an AI strategy.

Have us audit what assistants say about you

What does seem to matter

Given all of that, the useful adjustments are stylistic rather than technical.

Answer first. Assistants quote passages. A page that states its answer in the opening paragraph is far more quotable than one that builds to it over nine hundred words. This is also just better writing, which is the recurring theme.

Be the source of a fact. Specific, attributable, checkable claims get cited. Vague summaries of other people’s claims do not, because the model already has the original.

State your identity in structured data. An assistant describing your business is assembling facts from wherever it can find them. Giving it an unambiguous machine-readable version reduces the chance of it inventing one.

Whether to block AI crawlers at all

Google offers Google-Extended to limit use in AI training while keeping normal Search access, and other crawlers have their own tokens. Blocking is a legitimate choice.

Understand the trade. Blocking retrieval crawlers removes you from the answers as well as the training data, so you disappear from a surface where your competitors will still appear. For most small businesses trying to be found, that is the wrong side of the trade. It is still a choice worth making deliberately rather than inheriting.

What I would do in your position

Run the visibility checker and read what assistants currently say about you. Fix any wrong facts at the source. Make sure your Organization or LocalBusiness markup is accurate. Then go back to module 6, because that is where the actual work is.

Re-check quarterly. This moves faster than search rankings, and the failure worth catching early is not absence, it is a confidently wrong fact repeated at scale.