Get Recommended by the AI People Ask Instead of Google
A growing share of buying research never reaches a search results page. Someone asks a model for the best option in their city and reads the three names it gives back. If you are not one of them, you never knew the search happened. The work here is unglamorous: find out what the models currently say about you, find the sources they are pulling from, and get you into those sources with content a model can actually quote.
Everything you get
- Baseline scan of what ChatGPT, Perplexity, Claude, Copilot and Gemini say about you
- Prompt set built from how your buyers actually ask, tracked over time
- Competitor citation analysis: who gets named instead of you and why
- Source audit: the pages and sites the models are quoting in your category
- Entity work so the models can resolve who you are with confidence
- Content restructured into passages that survive being extracted
- Structured data and author markup that supports the entity
- Placement work on the third-party sources that get cited
- AI crawler access checked and fixed in robots.txt and at the CDN
- Monthly tracking of citation share against named competitors
Nobody can give you an AI ranking report, and anyone who does is guessing
Model answers vary by phrasing, by account, by session and by day. There is no rank tracker for this and pretending otherwise is how vendors sell packages nobody can grade. What you can do is run a fixed set of prompts on a schedule and track how often you are named against a named set of competitors. That is a real number, it moves when the work lands, and we will show you the raw answers behind it.
The process
Find out what they say now
We run a fixed prompt set across the major models and record the raw answers. Sometimes the finding is that you are invisible. Sometimes it is that a model confidently states something about you that is out of date or wrong, which is a different and more urgent problem.
Trace the sources
Where citations are shown, we collect them. Across a category a pattern usually appears fast: a handful of directories, review sites, forums and publications supply most of what the models repeat. That list is the target.
Fix the entity
Consistent naming, structured data, a real about page, verified profiles and clear connections between the business and the people in it. Models hedge on entities they cannot resolve, and hedging reads as not being recommended.
Write for extraction
Direct answers near the top, specific and checkable claims, clean headings, no burying the point under three paragraphs of throat clearing. A model quotes a passage, not a page, so the passage has to stand alone.
Get into the sources
Digital PR, contributed articles, review platforms and community presence aimed specifically at the places the models were seen quoting. Then rerun the prompt set and see whether the citation share moved.
What you actually get out of it
The click is disappearing
Answer engines resolve more queries without sending anyone anywhere. Traffic can fall while demand stays flat. Being named in the answer becomes the visibility that matters.
It is closer to PR than to SEO
Models mostly repeat what independent sources say about you. That makes third-party mentions the lever, which is a different job from optimising your own pages and needs a different plan.
Wrong answers are worse than no answer
A model stating that you closed, that you only serve one city, or that you specialise in something you dropped years ago will cost you deals silently. Nobody calls to check.
The work also helps ordinary SEO
Clean entity data, clear passages and real editorial mentions are exactly what classic organic rankings reward. This is not a parallel budget, it is the same discipline pointed at a newer surface.
Common questions
Is this just SEO with a new name?
It overlaps heavily and we will not pretend otherwise. The differences that matter: citations come disproportionately from third-party sources rather than your own site, answers vary between models in ways rankings do not, and passage structure matters more than page-level optimisation. Anyone selling it as a completely separate discipline with a separate retainer is selling the acronym.
How do you measure it?
A fixed prompt set run on a schedule across the major models, scoring how often you are named and in what terms, against a named competitor set. It is a sample, not a census, and we say so. The raw answers come with the report so you can read what was actually said.
Should we block AI crawlers?
If you sell something, almost certainly not. Blocking GPTBot removes you from the pool a model can draw on while your competitors stay in it. Publishers with a licensing position have a real argument here. A business trying to be recommended does not.
How long does it take?
Entity and on-site fixes can show up within weeks because models re-crawl and re-index. Moving citation share usually takes a few months, because it depends on third-party sources publishing, and that runs on their timeline rather than yours.
Can you guarantee ChatGPT will recommend us?
No. Nobody can, and the mechanism is not one anyone controls or buys into. What we can do is make you the obvious thing to cite: resolvable as an entity, present in the sources being quoted, and saying something specific enough to be worth quoting.
What does this cost?
Every engagement is scoped and priced individually, so there is no rate card to point you at. What moves the number: whether the work is a fixed-scope project or an ongoing retainer, how big and how broken the site or ad account is, how competitive your market is, and how much your own team executes. Paid media is a flat monthly fee tied to scope, never a percentage of ad spend, because a percentage pays us to spend more of your money. You get a written scope and a fixed number before anything starts, and if we think the budget is better spent somewhere else, we will say so rather than sell you a retainer that will not work.
Ready to grow with AI Visibility?
Book a free discovery call. We will have looked at your site and your ad account before it starts.
AI Visibility by industry
AI Visibility for B2B & SaaS
Software evaluation is close to the ideal use case for an AI assistant, which is why so much of it has already moved there.
Professional Services
Accounting, insurance, financial advice, consulting and agencies. Trust-led, referral-heavy, and usually under-marketed online.
Healthcare
Practices, clinics, dental, med spa and diagnostics. Restricted ad categories, real privacy constraints, and patients who compare.