Inference Advantage Engine

AI can see yourstore.

It doesn't choose it.

Free scan · deterministic rubric · cryptographic state-receipt · no credit card · no email gate.

Example output
Sample
Storefront → Recommendation Engine
Sample scan · 1,741-store benchmark, May 2026 · not your store
Score
42
Potential lift
+18 available
Interpret
Partial
Trust
Weak
Select
Low
Top issue+8
Missing structured attributes

Illustrative sample drawn from the 1,741-store benchmark (May 2026, avg 62.1/100). Run a scan above — you get a real receipt SHA, not this illustration.

The trust inversion

You don’t have to trust this site.

Scan your store and audit us yourself.

Other tools ask you to trust the score. UCPScore asks you to verify it — the receipt is yours, the methodology is public, the scanner is deterministic.

PROOF

37100

From invisible to machine-readable in 21 days.

Timeline
21 days
Scans
8
Fixes
77
Receipt SHA
afbd702

6 of 7 deltas are causal store-side fixes; 1 is honest instrumentation (Firecrawl maxAge:0 cache bypass) — labeled, not laundered. Per Bradford Hill criteria.

COGNIPAWS CASE STUDY

A 3-SKU store outscored 4 DTC brands raising $1.2B+ in cumulative VC.

Same scan window. Same rubric SHA. Same scanner code path. Allbirds 49 · Skims 42 · Gymshark 41 · Bombas 38. CogniPaws (scan 4 of 8) sat 28 points above the next-highest at the benchmark moment — before its score even peaked.

Receipt-pinned8 critic vectors namedLiving documentAudit-trail JSON

Inference Advantage OS

The category has no named leader.

UCPScore is the only score for the only layer that matters.

Forrester (April 2026) characterizes 2025–26 as an “organic era” with no dominant ranking standard. UCPScore owns the layer that decides whether AI agents actually choose your products.

Architecture · the 3 layers

Layer 1

Protocol Compliance

Validation, schema, machine-readable basics.

UCPToolsAgentReadyVerity ScoreLighthouseschema validators
Existing market

Layer 2

Simulation + Error Codes

Agent simulation, warnings, diagnostics.

GEOly (AIGVR)Aidō Lighthouse (110+ checks)Verity Score (AI Buyer Agent)
Emerging entrants

Layer 3

Inference Advantage

9-dimension proprietary framework. Receipt-pinned per scan.

InterpretTrustSelect— see anatomy below ↓
Only UCPScore

Anatomy of Layer 3

Interpret

Can AI understand the product?

Attributes, structure, category fit, and buyer language must all be machine-legible.

Trust

Can AI trust the storefront?

Support signals, policy clarity, offers, identifiers, and clean structure raise confidence.

Select

Will AI confidently choose the store?

This is the layer competitors miss: recommendation confidence, not just discoverability.

These are the 3 dimensions you saw in the EXAMPLE OUTPUT at the top of this page. Run a scan to see yours.

How a scan executes

60-second scan · 8 deterministic steps · cryptographic receipt

receipt SHA per scan

1

Fetch

Cache bypass enabled

2

Parse

28K taxonomy categories

3

Trust

FTC § 255.5 disclosure

4

Parser

Server-rendered evidence

5

Theme

Stock-Dawn defaults flagged

6

Corpus

1,741-store benchmark

7

SHA

Same input = same output

8

Sign

Cryptographic anchor

Same store-state + same rubric SHA = same score. Deterministic. Re-runnable. Receipt at the end is yours to keep.

Run your score

Your turn.

Paste your URL. Get your score in 60 seconds.

Free scan · deterministic rubric · cryptographic state-receipt · no credit card · no email gate.

What you get

  • Score (0–100)

    Where your store sits against the 1,741-store benchmark (May 2026, avg 62.1). Threshold 95+.

  • Receipt SHA

    Cryptographic proof of state — yours to keep, audit, or republish.

  • Top 3 issues, named

    The highest-leverage blockers in operator language, not raw system jargon.

  • Audit-trail JSON

    Schema.org Dataset · variableMeasured + biasDisclosures fully populated. Email-gated.

  • Shareable report link

    Same URL pattern as the case study above. Auditable by anyone you send it to.

Intelligence Desk

The editorial signal layer for AI commerce performance.

This is where UCPScore publishes what the market is actually doing, what breaks trust, and where score gaps turn into commercial exposure.

Featured StorybenchmarkMay 11, 202612 min read
AI-readiness benchmark 2026: 0 of 1,741 Shopify stores hit 75

AI-readiness benchmark 2026: 0 of 1,741 Shopify stores hit 75

Average score 62.1 / 100 across 1,741 verified Shopify stores scanned May 2026. Zero stores cleared the 75-point AI-ready threshold. The legibility gap is universal — three structural checks fail in 99.94% of stores, regardless of tier or vertical.