LEO, by GNW Consulting
YOUR AI CITATION PLATFORM
CITED, NOT JUST CRAWLED
Your buyers are asking AI. Is it naming you?
Leo reads the data you already have, works out which questions are worth owning, and tells you what to write and how to structure it so answer engines can pull it. Then it checks whether the citations followed.
LEO’S NOTES
Monday, Jul 27
THIS WEEK’S SUMMARY
You hold three territories outright, and one of them rests on a single page. Two questions your market is asking have no dominant source yet, and both are within reach this month.
As of Jul 25 · Next update Monday Aug 3
BE THE COMPANY AI NAMES
You own preference center design, and one page is carrying all of it.
249 citations sit on a single article, which is a strong position and a fragile one.
HOLD
AI ATTENTION
WIN THE QUESTIONS THEY ASK
Nobody has claimed “GEO for B2B teams” yet.
Demand is climbing and no source dominates, so a full answer takes the territory.
CLAIM
PEOPLE SEARCHED
WHY LEO EXISTS
Built by the people doing the work
Leo started as the system GNW Consulting built to run generative engine optimization for its own clients, because the tools on the market handled keywords and stopped there.
Every rule inside Leo was learned on an engagement before it became code. How questions get clustered, how schema gets structured, the order briefs are written in: all of it came out of client work and real citation data, and most of it came out of getting something wrong first.
It has been running against live client accounts for months. We are opening it beyond GNW’s own roster for the first time.
Designed by practitioners
The people who specified Leo are the consultants who run these engagements every week.
Best practices already encoded
What GNW worked out across client accounts is built into how Leo reads data and writes briefs.
Proven before it was sold
Leo ran GNW’s own citations and its clients’ for months before anyone was offered a seat.
WHAT IT DOES
Three jobs, in order
01
Tells you what to write
Your connected data shows what is actually happening in your market. Leo reads it every week and turns it into a short brief you can act on the same day.
- The territories you already hold, and what protects them
- Questions your buyers ask that you have never answered
- Ordered by what moves your position furthest
- Trends worth watching before they are worth writing
02
Tells you how to write it
Each recommendation arrives as a full brief with the angle, the order to cover things in, and the exact questions the piece has to answer.
- Structure and schema built for how engines extract
- Every question to answer, with guidance on each one
03
Measures what happened
Rankings tell you where you sit on a page fewer people read every quarter. Leo tracks the citations themselves and ties them back to the work that produced them.
- Which pages get quoted, and for which questions
- Your share of the territories that matter
- Where engines read the page but never cite it
THE VALIDATED PROCESS
Five stages, one system
INTAKE
01
Connect your library
Everything you have already published, in one place.
OPTIMIZE
02
Rebuild for extraction
Rewritten around the questions your buyers ask.
ENHANCE
03
Structure the facts
Built so answer engines can pull it.
PUBLISH
04
Push it back live
Approved and posted straight to your CMS.
GET CITED
05
Measure the answer
See where AI names you.
HOW IT DECIDES
The same standard, every time
Ask any model what to write and you get an answer. Ask it again tomorrow and you get a different one. Neither is wrong exactly, and that is the problem, because there is nothing there you can run a program on. Every good result ends up depending on who wrote the prompt that day and how much time they had.
Leo takes that variable out. The same inputs produce work of the same quality at whatever volume you need, and nobody has to sit there tuning prompts to get it. That consistency is the product.
The rules came from GNW Consulting, a strategic marketing agency that went deep into generative engine optimization for its own clients and kept what worked. That knowledge is the repeatable layer clients actually want, instead of a guessing game over who wrote the prompt.
WHAT EVERY RECOMMENDATION CLEARS
- Evidence before recommendation
Nothing gets suggested without data in your own account behind it. - Question clustering that survives
Territories come from grouped real queries, never from a topic label. - Structure engines can extract
Schema and page shape written for how answer engines actually read. - Ordered by what moves you
Briefs arrive ranked by position gained, not by search volume.
IN PRACTICE
What this looks like in practice
63%
Of articles gained traffic
Across every article published
+123%
Visit growth in four weeks
Four weeks on four weeks
+248%
More visits after publishing
Same pages, before and after
+300%
Growth in AI-driven visits
ChatGPT, Claude, Gemini, Perplexity
Now Onboarding
GNW Consulting is onboarding new clients to Leo a few at a time. Request a demo and we will walk you through the platform.
No form to fill here.
Just talk to me and
we'll set up your demo.
Just talk to me and
we'll set up your demo.
LEO, by GNW Consulting
Your AI citation platform
Built from the ground up by practitioners who ran generative engine optimization on live client accounts, then turned what held up into a platform anyone can run.
GNW CONSULTING
A mar-tech driven strategic operations agency
GNW has been working with companies on marketing technology and revenue operations across a range of enterprise stacks, building and repairing the systems a go-to-market team runs on.
© 2026 GNW Consulting. Leo is a product of GNW Consulting.