AI Search Growth Company Brain

Know which AI-search queries bring buyers who close, before we change a single page.

Most AI-search work runs on search-volume guesses and rank screenshots. We connect the data you already pay for (CRM, analytics, paid platforms, sales calls, support tickets, community threads, and your customer, marketing, and product research) into one decision layer. By the end of week one you know which queries bring buyers that close, which segments convert, and which content and sources actually move people forward.

From£5,000

Brain backbone + one agent · 1 month Managed, or your own Build · Live in week one, you own it

Map my demand engine → See what connects

Seven little boats of data sailing into one lighthouse decision layer, one ship sailing out to do the work

The shift

AI engines answer in revenue terms. Your prioritisation should too.

When a buyer asks an engine to compare options in your category, it picks a handful of sources and synthesises an answer. Winning that answer is not the same as winning a keyword. The query that gets you cited most often is rarely the query that brings the buyer who signs. If you prioritise by search volume, you spend your best weeks earning visibility on traffic that never converts. You already hold the data that fixes this. The problem is that it sits in a dozen tools and documents that never talk to each other.

A dozen sources, zero connections

CRM, analytics, paid, calls, support, community, and your customer, marketing, and product research each hold part of the answer. Connected, they tell you which query maps to revenue.

Volume is not intent

High-volume queries can convert at a fraction of a niche query that names a buyer's exact problem in their own words.

Week one, not month three

The decision layer is live and reporting against pipeline before the first content or source change is shipped.

How it works

Your data sources feed one brain. The brain directs the work. The work reports back against pipeline.

This is not a funnel and not a dashboard you log into and ignore. It is a connected system. Each source you already pay for becomes a node feeding a single AI-search decision layer.

The nodes feeding the brain

CRMClosed-won and closed-lost, deal stage, segment, and ACV: which queries bring buyers who sign.
AnalyticsSessions, assisted conversions, and which pages move people forward.
Paid platformsThe queries and segments you already paid to learn about.
Sales call transcriptsThe exact questions, objections, and phrasing buyers use on the phone.
Support ticketsThe problems buyers hit after they buy, surfacing real-intent queries.
Community and forum threadsIn-the-wild language and the sources buyers already trust.
Customer, marketing & product researchYour positioning, claims, win and loss reasons, product facts, and customer stories, so everything we write stays on brand and never invents a feature or claim.

The brain, the decision layer

Query-to-revenue mappingJoin the queries that surface your brand to the deals that actually closed.
Segment conversion analysisFind which buyer segments convert from AI-search sessions and which don't.
Content-movement analysisIdentify which pages and sources move a buyer from question to shortlist to pipeline.
Buyer-language and positioning miningExtract the real questions and phrasing, then combine with your positioning and stories into answer-shaped content engines cite.
Execution and the loop backThe brain hands Schmitdy a ranked list of queries, segments, and content gaps weighted by revenue, not volume. Every change traces to a decision the data made, outcomes report against pipeline, and the next prioritisation is sharper than the last.

Why connect everything

Every page we write is decided by your numbers, and grounded in your truth.

Most AI-search work is a guess dressed up as strategy: pick the high-volume queries, publish, hope. We do the opposite. We connect everything you know about your buyers, your market, and your product into one place, so we know which questions bring buyers who close, and so everything we ship is true to your brand. Every page, article, and answer is aimed at the right queries and written from your real positioning and claims, and it all gets sharper as results come back.

Your data, finally in one place

CRM, analytics, paid, calls, support, and community pulled together, so patterns hidden across ten tools become one clear picture.

Revenue sets the priorities

We work the queries and segments that bring buyers who buy, not the ones with the most volume and the least intent.

On brand, never hallucinated

All your customer, marketing, and product research feeds the brain, so every article we write and every page we optimise uses your real claims and positioning. Nothing invented, nothing off-brand.

Always current, always compounding

The brain stays up to date as your product, messaging, and results change, so the next thing we ship is truer and sharper than the last.

It's the difference between doing AI-search work and knowing it's the right work, said in your voice, with your facts. You own the whole thing, keys included.

What's included

The brain backbone, then one agent bolted on.

The Company Brain is never just the brain. You get the connected decision-layer backbone, plus one agent that acts on it: a month of Managed AI Search for immediate impact, or your own Build it. Own it. agent to run in-house.

First, the backbone

The connected layer

Secure connections from the data you already pay for into one decision layer, hosted on infrastructure you own
A query-to-revenue map that joins AI-search queries to closed deals, refreshed as new data lands
A segment conversion view showing which buyer segments convert from AI-search and which do not

The analysis

Content-movement analysis identifying which pages and sources move buyers toward pipeline
A buyer-language and positioning library mined from your calls, tickets, threads, and marketing knowledge
A revenue-weighted priority list of queries, segments, and content gaps that replaces the search-volume guess

Reporting and handover

A live view of AI-search visibility and pipeline contribution, measured kept separate from projected
Full ownership of the infrastructure and the data layer. You hold the keys. No lock-in
A working session that walks your team through the decision layer and how Schmitdy execution plugs in

Then one agent, your choice

Every brain ships with one agent bolted on.

+ Managed AI Search, one month

We run the channel for a month: daily reads, citation-ready rewrites, new pages, and source placements
Direct impact from week one while the brain compounds behind it
The fastest way to turn the brain's decisions into shipped, measurable work

+ Build it. Own it., handed over

Your own Schmitdy agent, configured to your category and tuned to your judgment
You run it in-house on the brain you own, with no retainer
The same operating system we run, handed over for your team to own

What changes

Measured

What we report from your own data.

✓Which AI-search queries bring buyers who closed, ranked by pipeline contribution
✓Which buyer segments convert from AI-referred sessions, and which do not
✓Which pages and sources move buyers forward versus just collect traffic
✓Visibility, share of voice, answer position, and cited sources, against revenue-mapped queries
✓Source-gap closure and AI-referred sessions and assisted pipeline, attributed back

Projected

Kept explicitly separate.

→Upside modelled from the revenue-weighted priority list, shown as a forecast with its assumptions stated, never reported as achieved

The honest metric is pipeline. Rankings, traffic, citations, and share of voice are signals on the way to it. We never present a signal as the result.

Who it's for

Built for companies with data and a pipeline to protect.

A fit if you

Already pay for a CRM, analytics, and at least one of paid, call recording, support, or community, and that data sits in silos
Have marketing knowledge trapped in decks and documents, not feeding your AI-search work
Sell something with a real sales cycle where closed-won and segment data exists and matters
Want AI-search work prioritised by revenue contribution, not search volume
Want to own the infrastructure and the data layer rather than rent a black box

Not a fit if you

Have no first-party data yet (start with Managed AI Search and build the data as you go)
Want a one-off audit with no execution behind it
Want vanity rankings and traffic reports rather than pipeline attribution
Are not willing to connect real data. The brain runs on it

FAQ

On data, ownership, and how it stays honest.

Is our data safe, and do you take it offsite?+

The decision layer is hosted on infrastructure you own and control. You hold the keys. We connect to the data you already pay for through secure, scoped access, and when the engagement ends you keep the layer and the data. No lock-in, no export hostage situation.

How can the decision layer be live in week one?+

Because we connect data that already exists rather than collecting new data and waiting. By the end of week one the core connections are in place and the first query-to-revenue map and segment view are reporting.

What if our data is messy or incomplete?+

Most data is. We work with what connects and tell you plainly where the gaps are and what they cost you in decision quality. A partial map weighted by real pipeline still beats a complete map weighted by search volume.

How is this different from the Managed AI Search retainer?+

Managed AI Search runs Schmitdy as your AI-search operator. The Company Brain is the demand engine we build first, so that operator runs against your real numbers instead of search-volume guesses. Many clients run both: the brain decides, the retainer executes.

Why mine sales calls, support tickets, community threads, and our marketing knowledge?+

Because that is where the truth about your buyers lives: the real questions and objections, and the positioning and stories that explain why people buy. AI engines reward sources that answer in the language buyers use and back it with proof, and your competitors are not publishing it. It is the highest-information-gain input you already own and almost never use.