There is no one thing that makes AI recommend you. What we actually do.
Four groups of work, in the order we do them.
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Splitting SEO and AI search is the expensive mistake
81%
of teams who run search and AI together report more traffic or leads from AI
36%
of teams who run them separately say the same
The difference is not a clever tactic. It is whether one team does both. That is why we run search and AI as one job, and not as two teams passing a brief between them.
First
What your buyers ask AI
Before we build anything, we find out what your buyers actually ask AI, who it names instead of you, and where those answers come from. Measured, not guessed at.
How your buyers really talk
We collect the words your buyers use about your category, so every page is written in their language and not ours.
The questions they ask
The real questions your buyers put to AI, sorted by who is asking. That is the demand we go after.
Who gets named instead of you
The businesses AI recommends in your market, question by question, and what they have that you do not.
Where the answers come from
AI takes its answers from a small number of places. We find the ones in your market that never mention you.
- AI engines listened to, every sweep
- 9
- buyer questions mapped, by who is asking
- 2,287
- answers we can trace back to where they came from
- 305,272
- different sources mapped across our work
- 13,771
- lines of real buyer language on file
- 15,122
- re-measured, with a full sweep every quarter
- Monthly
These come out of our own database, not a tool we rent. Every number above can be traced back to the exact answer it came from.
Then
Who you are, made obvious
AI cannot recommend a business it cannot pin down. We make you unmistakable to it: one clear identity, written in the format machines read.
One page that is definitively you
The page that says who you are, what you do and where you do it. Every other mention of you points back to it.
Getting you into the records AI reads
AI builds its answers from a small set of reference sources. We get you into them, and we label your pages so machines read them correctly. A label only ever repeats what is already on the page.
Pages AI can actually read
Fast, tidy and easy to crawl, so nothing gets in the way of the answer.
Then
Something worth quoting
AI answers by quoting, not by listing links. We write the pages worth quoting, and earn the mentions elsewhere that make AI trust them.
The pages AI quotes
About a dozen a month. Each one is the clearest answer to a real question your buyers ask, written so an AI can quote it whole. Checked and signed off before it goes live.
Getting talked about elsewhere
Reddit, YouTube, Wikipedia, directories, reviews, the trade press. The places AI actually takes its answers from, worked in the order that moves first.
The ordinary SEO underneath
Search still matters and AI still reads it. This is not a replacement for SEO. It is the work that sits on top of it.
And then, every month
Keeping it running
The work that wins a recommendation is the same work every month. We set it to run on its own, track it, and every month of it becomes something only you own.
The work that repeats, runs itself
The parts that have to happen every month happen on their own, so nobody on your side is doing them by hand.
One number, tracked every month
How often AI names you. That is the number we ask you to watch, and the one we are judged on.
A record only you own
Your own history of where you have been named and what was published, in your own database. It builds up every month, and nobody else has a copy.
One outcome, many ways in
This is not a menu. It is one piece of work pointed at one result, being the name AI recommends. Whatever the mix in a given month, that is the only scoreboard.
Built for tech companies, and for the businesses people hire on trust. AI will not put you forward unless you look like a safe choice, and every word has to clear the rules you work under.
Each part, on its own page
The four above are how it runs. Here is each part with a page of its own. Again, not a menu to buy from: the retainer runs whatever the month needs.
Getting recommended by AI
Be the name AI gives when a buyer asks who to trust.
Making it obvious who you are
Make it obvious who you are, one set of facts, everywhere.
The pages AI quotes
Write the pages AI quotes, and get quoted.
Getting talked about elsewhere
Get talked about in the places AI takes its answers from.
The technical groundwork
Make every page fast, and easy for a machine to read.
Keeping it running, and measured
Let the work that repeats run itself, track the one number, own the record.
Where it starts
A call, where we learn what matters to you this year. Then we measure where you stand, and give you the plan. Then one retainer runs the work, sized to you.
AI can't recommend what it doesn't know.
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