Solution
AI Search Visibility: Be Found in AI Answers
A growing share of searches never reach a list of links. This is the work of becoming a business these systems name, and correcting them when they get you wrong.
- Outcome led
- Built on what you already run
Outcomes
- Named in recommendations
- Build the corroborated, consistent presence these systems draw on when they name suppliers.
- Accurate when named
- Find and correct the stale sources behind out-of-date claims about your business.
- Quotable pages
- Service pages state concrete facts an engine can lift, rather than marketing language it cannot use.
- Conventional search benefits too
- Consistent details, clear structure and specific copy strengthen ordinary rankings as well.
The shortlist you cannot buy into
Ask an assistant to recommend a supplier and it names a few businesses. That shortlist is not a ranking anyone climbs in the usual way. The system assembles it from what it has read across the web, weighting how consistently and credibly each business appears.
Getting onto it takes different work from conventional search, though the two share foundations and reinforce each other.
Consistency is the mechanism
These systems favour claims they can confirm in more than one place. A fact that lives only on your own website carries less weight than the same fact appearing across your site, your listings and coverage elsewhere.
So we clean up the inconsistencies that accumulate over years: the old address on a directory, the superseded phone number, the service name you stopped using in 2021. Then we make your pages state concrete, checkable facts rather than general marketing language, because no engine can quote a claim to be world-class.
Correct what they get wrong
An assistant confidently telling people something out of date about your business does more damage than saying nothing. We record what the major systems currently say, identify which stale source they draw from, and correct that source.
We repeat the check periodically, because these systems change without notice and a fix that held in spring may not hold in autumn.
Industry playbooks
This outcome, worked through by industry
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Ecommerce GEO
Ecommerce in AI search
Product data, structured data and multilingual Shopify builds in English, Arabic and Spanish, so AI assistants and search engines describe your products accurately.
United Kingdom · United Arab Emirates · Saudi Arabia · Spain
Questions
Questions about this solution
The things clients actually want to know — costs, timelines, ownership and what happens after launch.
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No, and nobody honestly can. These systems change without notice and their selection is not something anyone buys into. We build the foundations they consistently favour and measure what actually happens.
Conventional SEO competes for a place in a list of links. This competes for a mention inside a generated answer. The foundations overlap, so most clients run both.
Slower than conventional SEO, because it waits on engines re-crawling sources and vendors refreshing models. Treat it as foundation work rather than a campaign.
We trace which source it draws from and correct that source. Finding these is a large part of why the monitoring exists.
The underlying work, consistent details and specific copy, improves conventional search regardless. That holds whatever happens to assistant usage.
We record verbatim responses to a fixed question set at the start, then repeat that set periodically and report what changed.