How to Get Your Business Mentioned in AI Answers
Optimising for AI assistants is not a new discipline bolted onto SEO. It is mostly the same work done more strictly: say the thing plainly, say it near the top, and make it structurally obvious what the thing is. This is the method, in the order we apply it.
How do you get a business mentioned in AI-generated answers?
By publishing pages that contain a direct, self-contained answer to a question someone is actually asking, and by making that answer easy to identify, easy to lift and easy to attribute. An assistant assembling a response is looking for a passage it can quote with confidence. Give it one and you become quotable; bury it and you do not.
Everything below is a version of that single idea applied to a different part of the page.
What is an answer block, and how do you write one?
An answer block is a single self-contained paragraph that fully answers a specific question without depending on the sentence before it or the one after. It sits immediately under a heading phrased as that question, and it names the concrete specifics — the service, the location, the constraint, the process — rather than gesturing at them.
The test is simple. Cut the paragraph out of the page, show it to someone who has never seen your site, and ask whether it answers the question in the heading. If they need the surrounding copy to make sense of it, it is not an answer block, it is an introduction.
Write it before the supporting detail, not after. The instinct to build up to a conclusion is the single most common reason good content never gets quoted.
Do you need llms.txt for AI search?
It is cheap to add and does no harm, but treat it as housekeeping rather than a strategy. The file gives an assistant a plain-text map of your site: who you are, what you do, and which pages matter. Support for it is not universal and it is not a ranking mechanism.
Add it because it takes an hour and keeps your own positioning consistent, not because you expect it to move anything on its own. Regenerate it whenever you publish something significant, otherwise it slowly becomes a description of a site you no longer have.
The work that actually moves visibility is the answer blocks and the corroboration, not the text file.
Which schema markup actually matters for AI answers?
Fewer types than most guidance suggests. Organization on the root layout, BreadcrumbList on every non-home page, Service on service pages, Article on posts, and FAQPage wherever you have a genuine question-and-answer block. That set covers almost every page a UK consultancy or SME will ever publish.
Two hard rules. Never invent properties to pad a schema block out, and never add review or aggregateRating markup for reviews you do not have. Fabricated markup is straightforwardly detectable and the downside is far worse than the upside was ever going to be.
Do not expect visible rich results from FAQPage — Google narrowed that considerably some time ago. Keep it anyway, because the markup is cleanly parseable by the crawlers building AI retrieval sets, which is a different job.
How does internal linking affect AI visibility?
It determines what gets crawled at all. A page with no internal links pointing at it is an orphan: it may exist in your sitemap, but crawlers reach it late, infrequently, and with no signal about whether it matters. Orphaned pages are one of the most common self-inflicted visibility problems we see.
Link hub to spoke and spoke back to hub. A service page should link to the posts that answer questions about it, and each of those posts should link back. This is not link-juice folklore; it is the structure that tells a crawler which of your pages is the authoritative one on a topic.
Check for orphans whenever you ship a batch of content. New sections added quickly are the usual culprits, because the navigation gets updated last or not at all.
Should you write for Google or for AI assistants?
For both, because the requirements have largely converged. Clear question-shaped headings, direct answers, honest specifics and a sound technical foundation serve traditional search and AI retrieval equally well. There is no meaningful case where optimising properly for one damages the other.
Where they differ is tolerance for padding. Traditional SEO has historically rewarded length; AI retrieval rewards extractability, and a padded page is harder to extract from. If you are choosing, choose the shorter, more direct version.
If you would rather have this done as a piece of work than as a project, that is what our search recovery service is. It starts with a free audit so you can see what applies to your site before committing to anything.
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