AI search visibility: are you named when buyers ask an AI assistant?
A growing share of buyers now start with an assistant rather than a search box, and an assistant returns two or three names instead of ten blue links. Ranking on page one is no longer the same thing as being recommended. This service measures the difference for your business, question by question, and closes the gap.
Measure whether AI assistants name your company — and fix it when they do not.
- Companies that rank respectably in Google but are never named in AI answers.
- Rental managers and brokerages whose competitors are being recommended by assistants.
- Anyone who has typed their own buyer question into ChatGPT and not liked the answer.
- Businesses that want a baseline before this becomes the main way they are found.
Deliverables, not slideware.
Visibility baseline by question, engine and market
Competitor comparison — who is named instead of you, and why
Source and citation analysis of the answers themselves
Structured data and content fixes, specified page by page
Profile and directory plan for the places assistants draw on
Scheduled re-measurement so the trend is visible
Engagements are shaped rather than priced from a menu: a fixed-scope assessment first, a defined build second, and an ongoing retainer only where continuing work earns it. You will know the scope and the cost of each stage before it starts.
What it looks like in practice.
Scaling Organic Growth — and Building the Intelligence Layer Behind It
A multi-year engagement combining AI-assisted publishing at scale with a predictive analytics and business intelligence platform and marketing attribution — turning a booking catalog into a destination authority run on evidence.
Read the case study →Turning Educational Content into Tracked, Qualified Leads for a Coastal Brokerage
A repeatable production system that turns the broker's own video series into a full multi-channel asset suite, an IDX and lead platform that converts readers into identified prospects, and the reporting layer that shows which content actually produces them.
Read the case study →The things people ask before they call.
Is this just SEO with a new name?
It overlaps, and good SEO helps. But assistants synthesize an answer from sources rather than ranking pages, so what earns a citation is not identical to what earns a ranking: clear direct answers, verifiable facts, structured data, and presence in the profiles and directories the models lean on.
Answers change between users and over time. How can you measure it?
By treating it as sampling rather than a single lookup: a fixed question set, run repeatedly, across engines, recorded consistently. The signal is the pattern across many runs, not one screenshot.
Can you guarantee we will be cited?
No, and be careful with anyone who does. What we can do is find every reason you are not being cited today, fix the ones within your control, and show the movement.
How often should it be re-run?
Monthly is enough for most companies. The models and their sources change often enough that an annual check tells you nothing useful.
Does this help with regular Google results too?
Usually yes. The structured data, the directory presence and the clearer answer formats tend to improve conventional visibility as a side effect, including in Google AI Overviews.
Start with the business problem.
Tell us the decision you are trying to make. If we are not the right help, we will say so.
Talk to ANtreliX