Position to Win.
With Humans.
With AI.
$
15
Trillion
In B2B purchases will be handled by AI agents within 3 years. Is your product on the shortlist?
The Autonomous Buying Shift
Your positioning was built for a buyer that no longer exists.
Enterprise buyers are no longer evaluating vendors alone. Human decision-makers now work alongside search systems, AI summaries, autonomous shortlists, and machine-mediated procurement flows.
Your human score gets you in the room. Your machine score determines if you’re invited.
Human
Evaluation
95
/100
How human buyers score the average enterprise product
Machine
Selection
22
/100
Machine Selection Average X!MCO Score before optimization
01
Invisible
Your product fails machine – assisted shortlisting before your best salesperson speaks.
02
Outpositioned
Competitors with clearer structure get evaluated as safer choices
03
Unreadable by AI
Sales, marketing, and AI summaries describe your offer differently
04
Too Late
You get found too late, compared too generically, or rejected too quickly
The Xclaymation Engines
Two Engines
40
Agents
36
Frameworks
Built for the age of autonomous buyers.
X!VECTOR
For enterprise products that should win more evaluations
A 22-agent Product Positioning Engine built on 24 frameworks. Diagnoses perception gaps, sharpens messaging, and optimizes how your product gets selected — by human evaluators and autonomous AI procurement agents.
Includes X!MCO optimization across all five layers
X!ANCHOR
For service businesses that should stop competing on price
An 18-agent Service Positioning Engine built on 12 frameworks. Identifies what you should be known for, builds every asset that makes you look like it, and runs the outreach that fills your pipeline every month.
Includes X!MCO optimization across all five layers
Intelligence
Competitive mapping, buyer perception audit, AI visibility benchmark
Positioning Architecture
Core positioning, differentiation framework, category design
Message Deployment
Website copy, sales deck, proposals, sales enablement scripts
X!MCO Layer Machine Visibility
Schema markup, directory presence, X!MCO infrastructure, trust signals
Validation & Activation
Schema markup, directory presence, X!MCO infrastructure, trust signals
CASE STUDY
Client
Enterprise Technology
X!Vector Engagement – B2B Software
18/100
X!MCO Score before
5
Dimensions Optimized
48
Audit
(hrs.)
Q3 '26
Results
The Challenge
Complex B2B technology product in a crowded category
Generic “AI-powered platform” messaging indistinguishable from 40+ competitors
Losing evaluations to competitors with weaker products but clearer positioning
AI agents evaluating vendors in the category returning competitor names — not theirs
The Gap
Product capability
Strong
Market positioning
Generic
AI agent visibility
Near zero
Readability score
18/100
The Engagement
X!Vector deployed across all five layers
X!MCO Readiness Audit completed — prioritized action plan delivered in 48 hours
Positioning engine running
Schema, directory presence, and trust signal architecture rebuilt
The Results
Active engagement. Results tracked across sales cycle compression, X!MCO Score, and competitive win rate. Case study published upon completion.
Why X!MCO Matters
If AI cannot interpret You,
It cannot select You.
The Cost of Non-Selection
When AI agents can’t read your product, you don’t lose on messaging. You don’t show up at all.
- Fails machine shortlisting before any human evaluation begins
- Competitors with clearer structure get selected first
- Sales, marketing, and AI summaries describe your offer differently – agents can’t reconcile it
- You get found too late, compared too generically, or rejected too quickly
What X!MCO measures (The Five Dimensions):
- Machine Readability (Structured data agents can parse and compare without mediation.
- Index Presence ( Consistent presence across the sources AI agents draw from
- Trust Signal Architecture ( Named founders, verifiable credentials, third-party citations, consistent contact data
- Query Match Density ( Content that directly answers the procurement queries agents run in your category.
- Commercial Infrastructure (API readiness and real-time product data agents can retrieve and compare autonomously.
The Average X!MCO Score: Before engagement: 18/100 | After engagement: 71/100 | The gap is structural & fixable.
Find Out If AI Agents Would Choose Your Product
We run a 48-hour X!MCO Readiness Audit that benchmarks exactly how your product shows up when autonomous AI agents evaluate vendors in your category.
No obligation. Just the truth.