YOUR SEO WILL
ONLY GET WORSE.
WE HAVE THE EVIDENCE.
A B2B company whose buyers search in AI — and don't find them — loses up to 60% of organic clicks within 12 months. Discovery Stack is the visibility system that reverses the trend before AI ads get expensive.
6 IN 10 USERS, AFTER READING AN AI ANSWER, NO LONGER CLICK ANY ORGANIC RESULT.
The B2B buyer no longer arrives at your site to look — they are sent. They ask ChatGPT, Perplexity, or Google AI Mode about your category. The AI cites three brands. Either your name is in there, or someone else's is. Clicking organic results has become rare behavior.
The numbers don't soften this: 38% overlap between Google Top 10 and AI citations in 2026 (a year ago — 76%). Backlinks predict only 4–7% of AI citation behavior. 85% of AI citations come from earned media, not owned blogs.
OLDBUYING JOURNEY · 2014–2022
- Buyer searches keywords on Google
- Clicks through 5–10 ranked websites
- Reads blog content, gated reports
- Bookmarks vendors, attends webinars
- Fills form → enters your CRM
- You see them. You can influence them.
NEWBUYING JOURNEY · 2024 – PRESENT
- Buyer asks an AI assistant a strategic question
- Receives a synthesized answer with 3–5 cited vendors
- Refines, compares, debates — inside the AI
- Forms a shortlist before visiting any website
- Visits 1–2 sites only to verify a decision already made
- You appear in CRM only if cited upstream
DISCOVERY STACK IS 4 PILLARS AI NEEDS TO SEE AT ONCE BEFORE IT CAN CITE YOU.
This is not another “SEO hack.” It is a paradigm shift — from optimizing one channel (Google) to building a coherent signal stack that language models recognize as authoritative.
PILLAR · I
MENTIONS
Brand mentions in independent sources — with or without links. For AI, this is a stronger signal than classic backlinks.
PILLAR · II
EARNED
Quotes in industry media, podcasts, Wikipedia. 85% of AI citations come from earned media — not your blog.
PILLAR · III
PLATFORM-SPECIFIC
ChatGPT, Perplexity, Google AI Mode, and Claude each have separate algorithms. “AI optimization” does not exist — platform-specific optimization does.
PILLAR · IV
CONSENSUS
AI cites a brand when it sees consistent positioning across sources. Mismatch between G2, LinkedIn, your blog, and Wikipedia — means no citations.
WE DON'T NARRATE. WE SHOW.
Each case = one field observation, one failed assumption, evidence, operational conclusion. Verifiable numbers.
Your Content Didn't Disappear. It Lost Its Validations.
You Have E-E-A-T. But to AI, You Might Be Invisible.
Losing Google Traffic? AI Overview is to Blame
THIS IS NOT CONTENT MARKETING.
IT IS A DIFFERENT QUESTION.
"WHAT SHOULD WE PUBLISH THIS MONTH?"
The output is a calendar. The lever is volume. You measure impressions, sessions, MQLs. The work is downstream of a decision already made elsewhere.
"WHAT MUST THE MARKET AND THE AI UNDERSTAND BEFORE YOUR COMPANY CAN BE CHOSEN?"
The output is a small set of citeable assertions. The lever is claim clarity. You measure citations, omissions, competitor wins. The work happens upstream of the decision.
DISCOVERY STACK IS NOT FOR EVERYONE. CHECK IF IT IS FOR YOU.
✓ YES · WE WORK TOGETHER
- →B2B company, 20–200 people
- →Consultative sales motion (ABM or inbound with a long cycle)
- →CEO or CMO who understands classic PPC is getting expensive and unpredictable
- →Readiness for a 12-week implementation program (not a 7-day campaign)
- →A marketing team or agency that executes — we design and lead
✕ NO · LOOK ELSEWHERE
- ✕B2C companies — Discovery Stack is built for B2B logic
- ✕Purchase cycle under 14 days (e-commerce, impulse purchase)
- ✕Expecting results in 30 days — first AI citations typically appear after 8–12 weeks
- ✕No willingness to publish your own expertise (Discovery Stack depends on it)
THE FIRST COMPANIES IN EACH B2B CATEGORY ARE TAKING THEIR SPOT IN AI ANSWERS NOW. ONCE CLAIMED — HARD TO DISLODGE.
REASON · 01
MODELS LEARN SLOWLY
Whoever becomes the default answer in a category now will hold that position for the next 5–10 years. Language models are reluctant to change their minds.
REASON · 02
AI ADS WILL GET EXPENSIVE
Google is testing AI Performance Insights in Merchant Center. When AI ads scale, entry into the answer layer will cost like premium CPC.
REASON · 03
LIMIT: 3 COMPANIES PER YEAR
We run full Discovery Stack implementations for a maximum of 3 companies per year. That is an operational constraint, not marketing scarcity.
/ NEXT STEP
THREE PATHS. ONE DECISION.
PATH · 01
MANIFESTO PDF
The full argument in 25 pages. Download, read, decide if it resonates. Email required.
Get the manifestoPATH · 02 · ENTRY
DISCOVERY STACK DIAGNOSIS
5 fields, 5 days, a two-page analysis. Find out where you stand in AI answers today. Free.
Request diagnosisPATH · 03 · IMPLEMENTATION
OPEN A CASE
Full 12-week implementation program. Application → call → decision. Limit: 3 companies per year.
Submit application