Information gain:
How much genuinely new, specific understanding your content adds versus what already ranks.
//.services_001
AI Search Visibility
Want to see where your brand stands before we talk?
Get the baselineMarketing is not what it used to be. Buyers ask a model, get one answer, and shortlist from it. The brands inside that answer win the consideration. Everyone else is a tab nobody opens.
That is uncomfortable, and it is also an opening. The rules for being cited are still being written, and most of your competitors are waiting to see what happens.
You do not need a finished AI strategy to begin. You need a baseline, a short list of what to change, and someone who has been paying attention to this shift longer than most.
What is GEO
and how does it differ from SEO?
Generative engine optimization is the practice of making your content the source an AI model retrieves, trusts, and cites when it writes an answer.
It overlaps with SEO, but the selection process is different in three places:
Retrieval:
The model searches across a huge range of content to find passages that might answer the question. If you are not retrievable, nothing else matters.
Chunking:
Your page is not read as one long piece. It is broken into smaller chunks, and each chunk is judged on its own for how well it answers a specific question.
Citation selection:
From everything retrieved, the model chooses which sources to actually cite. That choice is based on trust signals, clarity, and depth, not rankings.
No matter your stage of growth,
there is a program that works for your brand:
//.foundation_stage
Foundation
For startups and brands new to organic, just beginning to understand AI search. Your needs could look like this:
- Where to start, in order
- Visibility baseline across AI and classic search
- Prompt and topic strategy
- Content gaps worth filling first
//.scale_stage
Scale
For mid-market and challenger brands with some internal resources and buy-in. Your needs could look like this:
- Competitive visibility analysis
- Full content audit and plan
- Measurement framework
- Execution support alongside your team
//.enterprise_stage
Enterprise
For category leaders with multiple lines of business and large teams. Your needs could look like this:
- Cross-platform visibility measurement
- Content engineering and digital PR
- Cross-functional coordination with dev, brand, and PR
- Executive reporting tied to revenue
Omnimedia visibility
AI models pull from everywhere: press, forums, review sites, video, social. Your visibility strategy has to think past your own pages and into the wider ecosystem where your brand gets talked about.
Attribution from day one
Visibility means nothing if you cannot tie it back to the business. We connect citations and AI referral traffic to engagement, leads, and revenue so what you tell leadership is grounded.
Fan-out coverage
A single question branches into many. We map the questions a model fans out into for your category and make sure you own enough of them to be the obvious source.
Brand sentiment
Being the recommended brand matters as much as being cited. How you are talked about online shapes whether the model recommends you, so we monitor and shape it.
"If your AI use is identical to your competitor's AI use, you don't actually have a strategy or an advantage, you just have a subscription."
Darrell Tyler, founder. Search Engine Journal, The 4-Layer AI Ops Playbook recap
Retrieved by machines.
Remembered by people.
Ranking well and being cited well are not the same skill anymore, so you should not treat them like they are. You are creating content for both humans and models now.
- How clearly your site explains what you do
- How well-structured your content is for a machine to parse
- How your brand shows up across the web, not just your domain
Machine and human understanding are not in competition. They do require different care, and you should not have to figure that out alone.
Find out where your business stands on AI search readiness:
Start with the audit ›The metrics that tell the story now
Traffic is not the full story anymore, and leadership needs measurement that reflects that. You do not need to become fluent in these yourself. You need to know someone is watching them for you and telling you what they mean for the business.
Passage relevance:
How well each chunk of a page answers the specific question a model would ask of it.
Fan-out coverage:
How well you cover the full spread of related questions a model might branch into.
Citation frequency:
How often you show up inside AI answers, by topic, against named competitors.
AI referral traffic:
How much of your traffic now comes from AI platforms, and what it does after it lands.
Benchmarking:
Where you stand against competitors on all of the above, tracked over time.
Why us
Nobody has fully figured out AI search yet. Anyone who tells you otherwise is selling certainty that does not exist. What we can tell you honestly is how we are navigating it and what has worked so far.
Our approach is human-led and AI-powered: people make the calls, informed by systems that can process more than any person could alone.
The founder has been teaching this method on the SMX Advanced stage and in Search Engine Journal's webinar series. The program you buy is the one those rooms heard first.
We organize the work in three stages:
01.
Assess
Understand where you stand today, across search and AI visibility, with a dated baseline.
02.
Prioritize
Figure out what moves the needle for your specific business. It is never one thing, and it is never everything.
03.
Activate
Put the work into motion across content, technical, and measurement, together, with your team.
//.deliverables
What we deliver
- AI visibility audit (citations, mentions, sentiment, share of answer)
- Fan-out query research and topic coverage map
- Entity and passage-level content recommendations
- Citation-ready page templates
- Monthly visibility and AI referral reporting
Stay ahead of every change in AI search and SEO
The Brief is short, original, and sent when there is something worth saying.