AI search visibility
Assistants now answer the question instead of listing links. This work makes sure that when one of them describes your company, it is reading the right pages and getting the facts right.
What this solves
A model answering a question about your industry pulls from whatever it can read and trust. If your site renders only in the browser, if the same claim appears in three different forms, or if nothing on the page states plainly what the company does and for whom, you are not part of the answer. This is not a keyword exercise. It is making the site machine-readable, stating the facts once and structuring pages so a paragraph can be quoted without losing its meaning.
When a business needs it
- ·Assistants describe your company incorrectly, or not at all.
- ·Competitors get cited for work you also do.
- ·The site is a single-page application that crawlers see as empty.
- ·Services and locations are described differently on every page.
- ·You are entering a market where buyers research through assistants first.
What is included
Technical audit
Rendering, crawlability, status codes, sitemaps and what AI crawlers are actually allowed to fetch.
Structured data
Schema.org for the organisation, services, locations and people, kept consistent with the visible page.
Entity clarity
One unambiguous description of the company, aligned across the site, profiles and directories.
Content architecture
A page for each thing you actually offer, linked so both people and models can follow the structure.
Citable writing
Pages restructured so a single passage answers a question completely and survives being quoted alone.
Citation audits
Regular checks of what assistants say about you, tracked over time as changes take effect.
How we approach it
We start by asking the assistants directly. What they say today is the baseline, and it usually explains what is missing faster than any crawl report.
Technical readability comes first. Structured data on a page a crawler cannot render changes nothing.
Then the content, page by page. The goal is that each page states one thing clearly enough to be quoted without a link back for context.
Technical depth
- Rendering
- Server rendering, static output, hydration checks
- Markup
- Schema.org JSON-LD, validated and monitored
- Crawlers
- robots.txt, llms.txt, AI user agent policy
- Structure
- Information architecture, internal linking
- Measurement
- Assistant citation tracking, Search Console
- Delivery
- Audit, fixes and a written implementation plan
Questions we get
Is this just SEO with a new name?
It overlaps, but the target is different. Classic SEO competes for a position in a list. This work competes to be the source a model uses when it writes the answer, which rewards clarity and structure over volume.
How long before we see a difference?
Technical fixes take effect as soon as pages are recrawled, usually within weeks. Changes to how assistants describe you follow more slowly and we track them monthly.
Do you write the content?
We write the structural parts and rework existing pages. Anything requiring your domain expertise is drafted with you, because a model quoting a vague page is worse than not being quoted.
Can you work on a site we did not build?
Yes. Most of this work happens on existing sites. If the platform makes a fix impossible we say so and propose the smallest change that works.