Give your team the evidence and the next move.
See which products need attention, what is holding them back, and who can fix it. Your CEI assessment brings the scorecard, product-level evidence, and prioritized action plan together, so leaders can set priorities and teams can move straight into the work.
Give every team the evidence and next move it needs.
A leadership-ready view of the CEI score, readiness band, competitive context, commercial opportunity, and prioritized recommendations.
Signal-level data, product-level findings, crawler diagnostics, retrieval results, and source evidence.
A prioritized plan mapping each fix to business impact, owner, effort, and expected readiness improvement.
Structured data recommendations, attribute files, terminology maps, and content briefs when Activate is in scope.
Representative findings from a CEI assessment.
A high-share category is missing material, fit, size, compatibility, or use-case attributes across many SKUs.
Multiple products use boilerplate descriptions, making them difficult for AI to distinguish.
Realistic shopping queries surface the wrong product because constraints are missing or inconsistent.
What one fixable gap looks like, end to end.
A worked illustration of how a single finding moves from diagnosis to measurable readiness.
"best waterproof hiking boots under $150 with a wide fit"
A large share of otherwise-eligible products are missing width or waterproof attributes, so AI cannot confirm they meet the constraint and leaves them off the shortlist.
Targeted PIM attribute fills plus JSON-LD enhancement on the affected product pages, delivered as ready-to-apply artifacts.
Those products become eligible for constraint-based AI queries they were previously excluded from, and the change is re-scored against the baseline.
Example shopper request: Waterproof hiking boots with a wide fit, under $150.
Before the catalog fix
- Waterproof: not recorded
- Wide fit: not recorded
- Price: $139
Two of the shopper's three requirements cannot be confirmed from the catalog.
After the catalog fix
- Waterproof: evidence published
- Wide fit: evidence published
- Price: $139
All three requirements are clear, helping the product compete for the shortlist.
See how evidence becomes recommendation, choice, and growth.
See where AI already understands and trusts your products, where the next opportunities sit, and which evidence-backed fixes can strengthen the shortlist.
Get a preliminary catalog check