HR tech & recruiting
"best AI recruiting platform for high-volume hiring"
Analysed
Engines name instead
HireVue
Paradox
Greenhouse
Lever
iCIMS
Bullhorn
The AEO agency with a zero-fluff policy
Buyers ask AI who to pick, and three names win. Getting in is an engineering problem - not a content problem. We treat it like one.
The sweep runs before you pay us anything.
What agencies sell
What we ship
The protocol
00 Sweep
Every buyer question, on every engine, asked twice.
01 Diagnose
Are you unknown - or known but never recommended?
02 Execute
We ship the fixes ourselves, starting week one.
03 Re-measure
Same questions vs a control group. Honest diff.
Who you actually get
An FDE.
Not an account manager.
A forward-deployed engineer - one of the people who built our measurement platform - embedded with your team. They read the sweeps, ship the fixes, and answer for the diff.
Custom integrations
Wired into your CMS, repo, analytics and CRM - not a portal beside them.
Agent context
llms.txt, structured data and MCP endpoints, so AI agents get your context right.
Content, HITL
Agents draft at scale; a human approves every word that ships. Never auto-published.
Adoption loops
Fixes land in your team's workflow - PRs, tickets, CMS drafts - so they ship, not shelve.
Validation loops
Every fix re-swept against a control group. What didn't move gets rolled back.
The discipline is borrowed from quantitative finance: define the universe, measure the signal, execute systematically, attribute honestly. Backed by data, research and scale - not conviction.
Receipts
The challengers we analysed, the incumbents engines name instead. Analysed - not clients.
"best AI recruiting platform for high-volume hiring"
Analysed
Engines name instead
HireVue
Paradox
Greenhouse
Lever
iCIMS
Bullhorn"best revenue intelligence tool for mid-market"
Engines name instead
HubSpot
Gong
Clari"graph queries on my data warehouse"
Analysed
Engines name instead
Neo4j
TigerGraph
ArangoDB
Amazon Neptune
NebulaGraph
JanusGraph"regulated crypto infrastructure for banks in MENA"
Analysed
Engines name instead
Fireblocks
Circle
Copper
Zodia Custody
BitOasis
Rain"app-less AR campaign platform for brand marketing"
Published research · methodology included
All field notes →We asked ChatGPT sixty buyer questions about four YC-backed recruiting startups. It named the incumbents almost every time. Their websites turned out not to be the problem, and neither did their content.
Newer sales tools get named two and a half times more often when ChatGPT compares two products than when it lists the best in a category. Here is why, and what it means for what you publish.
Companies listed are subjects of our research sweeps, named for identification only. No affiliation or endorsement implied.
Pricing
Three months of heavy lift, then the price drops to match the work. Both tiers staff an FDE - never an account manager.
Jumpstart · mo 1–3
$3,000/mo
Retainer · mo 4 →
$2,000/mo
$3,000 per month for the first three months of jumpstart mode, then a $2,000 per month retainer from month four onward.
The audit comes first, free. Then decide.
Custom
For teams where AI answers already move revenue.
Scoped proposal within a week.
FAQ
The manual GEO audit
Your buyers' questions, through every engine - swept by our platform, read by an engineer. Who gets named, and why. Free.
Reviewed by an FDE, not auto-generated. No deck. No discovery call.