The AI Visibility Manager
Get recommended by ChatGPT, Gemini and Perplexity
Your customers stopped typing into Google and started asking an AI. When they ask for the best option in your category and your city, one business gets named. This role makes it you. It fixes how machines read your site, builds the third party signals AI engines trust, and tracks every week whether you are being cited, next to whom, and why.
Priced per business after a short discovery call, because what it costs depends on your call volume, your tools and how much of the workflow you want automated.
No long contracts. Cancel anytime.
How it works
Baseline measured
We test the real prompts your buyers use and record exactly where you stand today.
Foundations fixed
Schema, crawler access and structure so machines can read and quote you.
Signals built
Answer first content plus the third party mentions AI engines actually cite.
Tracked weekly
Citation rate and share of voice reported monthly against named competitors.
What you get
Be the business the AI names, not the one it skips.
Perfect for
Integrates with
The AI Visibility Manager is for businesses whose buyers have started asking ChatGPT, Gemini, Claude and Perplexity for recommendations instead of scrolling search results. It makes your business the one those engines can find, parse, verify and name: structured data, machine readable content, consistent entity signals across the web, and a documented answer to every question a buyer asks an assistant. What it cannot do, and what nobody can do, is guarantee a given model names you for a given prompt. Model outputs are not purchasable inventory. What is achievable is being the best documented and most citable option in your category, and measuring how often you actually get named over time.
The referral you never see
A buyer used to search, scan ten results and click yours. Increasingly they ask an assistant for a shortlist and get three names back, with no list to scroll and no second page. If you are not one of the three, you were never in the running, and unlike a search ranking you cannot look up where you placed.
This is why the loss is invisible. There is no impression count and no position to check. Businesses discover it anecdotally, when a customer mentions they asked ChatGPT and got a competitor.
The businesses getting named are rarely the biggest. They are the ones an engine can actually read: clear entity, consistent facts, explicit answers to real questions, and corroboration from sources outside their own website.
Hire this if
- Your category is one people genuinely ask assistants about: professional services, clinics, software, agencies, local specialists.
- You have real substance, results and expertise, but it is trapped in a brochure site that says nothing specific.
- Your competitors are getting mentioned in AI answers and you are not.
- You are willing to publish concrete facts, including prices, process, and limitations.
- You can wait a quarter for compounding results rather than expecting a switch to flip.
Do not hire this if
- Anyone who wants a guarantee that a specific model will name them for a specific prompt. That guarantee does not exist, and anyone selling it is misleading you.
- Businesses with nothing differentiated to say yet. Visibility work amplifies substance; it does not create it.
- Brand new companies with no track record, no reviews and no third party footprint. There is nothing for an engine to corroborate.
- Anyone unwilling to publish specifics. Vague positioning is precisely what gets a brand skipped in an AI answer.
What gets a business named by an AI engine
Assistants answer from a mix of what they absorbed in training, what they retrieve live, and what they can verify. Being named requires being legible in all three, which comes down to a handful of unglamorous fundamentals.
- A clear machine readable identity: structured data that states who you are, what you sell, where you operate and how to reach you, consistently.
- Content that answers real buyer questions directly, in the first sentence, rather than burying the answer under an introduction.
- Specifics an engine can quote: process, timelines, what is included, what is not, and honest constraints.
- Corroboration off your own domain: consistent listings, profiles and reviews, because engines weight what they can verify elsewhere.
- A crawlable, fast, plain text surface for AI crawlers, so retrieval does not depend on rendering a heavy JavaScript page.
- Freshness, because stale content is discounted and outdated facts get you cited incorrectly.
How results are measured, honestly
Because there is no rank tracker for this, measurement is done by repeatedly asking the engines the questions your buyers ask, across a defined prompt set, and recording whether you appear and in what position. That gives a baseline and a trend line.
Expect that trend to be noisy. Model outputs vary between sessions and change when models update. A single prompt returning a competitor tells you nothing; a prompt set tracked over a quarter tells you a lot.
What is not on offer here
There is no mechanism to pay for placement in an AI answer, no back door into a model, and no technique that forces a specific output. Anyone claiming otherwise is either mistaken or selling you something dishonest.
The work is to make the true, verifiable story about your business the easiest one for an engine to find and repeat. That improves your odds substantially and measurably. It is not a guarantee, and it will never be described as one.
Compared with the alternatives
An honest read on the other ways to solve this, including the ones that are a better fit than us.
A traditional SEO retainer
Still worth doing, and the two overlap more than either camp admits. But an agency optimising purely for blue link rankings is measuring a surface that is losing share of the decision.
Paid ads
Immediate, controllable, and it stops the moment you stop paying. Assistants also do not currently read your ad account when composing a recommendation.
Doing it yourself
Entirely possible, and the fundamentals are public. It is a real time commitment: structured data, content architecture, entity consistency across profiles, and ongoing measurement of what the engines actually say.
Ignoring it
A defensible bet if your buyers are not using assistants yet. Worth actually checking rather than assuming, because in several categories that changed faster than the incumbents noticed.
What it does not do
- No guarantee of inclusion in any specific model output. Nobody can offer that truthfully.
- Results compound over months. This is not a channel that produces a result in week one.
- Model updates can move results in either direction, independent of anything done on your site.
- It cannot manufacture credibility. If there are no results, reviews or third party signals to work with, that gap has to be closed first.
Your first 14 days
Baseline. We record how the major engines currently answer the prompts your buyers use, and who gets named instead of you.
Foundations. Structured data, entity consistency, machine readable content surfaces and crawler access.
Content. The specific answers, comparisons and documented facts engines need in order to cite you.
Live, with the tracking prompt set running so movement is visible from month one.
Questions, answered
Is this just SEO with a new name?
No. The overlap between the top Google links and the sources AI engines cite has fallen from about 70% to under 20%. Ranking on Google no longer means being recommended by an AI.
How fast does it work?
Technical fixes land in the first month. Citation authority compounds over quarters, the same way domain authority did. This is a compounding asset, not a switch.
Can you guarantee I get recommended?
No. Nobody controls what a model says. We control the inputs the models read, we measure your citation rate every month, and we show you the movement.