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Storewalk vs Optima

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Storewalk compared with Optima
DetailStorewalk logo StorewalkOptima logo Optima
What it doesAI shopping agent readiness audit for e-commerce stores Build custom benchmarks to compare frontier models on performance, cost, and time efficiency for your specific tasks
StageNot given Not given
FoundedNot given Not given
Based inUA US
Pricing modelFree Not given
PricingFree to scan stores and receive full reports with findings and fix lists Token usage for creating and running benchmarks at raw model cost. Rubric grading: $0.002 per criterion per model (standard judges) or $0.040 per criterion (premium judges), $0.10 on agentic tasks. Pairwise grading: $0.006 per match (standard, $0.150 premium), $0.015 per match on document tasks (sta
Key features
  • Scans stores to check if AI shopping agents can find products
  • Checks if agents can read prices, stock, delivery and returns as trusted text
  • Tests if agents can reach payment step as a guest without obstacles
  • Verifies order tracking and support access for agents
  • Includes detailed fix list with effort estimates
  • Runs 45 checks across 4 steps of agent journey
  • Scans complete in about 5 minutes
  • Allows comparing ready scores with up to two competitors
  • Includes free consultation with Storewalk team
  • Custom benchmark builder with example-driven task creation
  • Multiple evaluation types: Q&A, document analysis, agentic tasks, interactive conversations
  • Run benchmarks across multiple frontier models simultaneously
  • Cost and time per task metrics
  • Standard and premium judge tiers for grading
  • Rubric grading with custom criteria
  • Deterministic objective grading
  • No markup on model token costs
What makes it different
  • Tests stores specifically for AI agent readiness, not generic web auditing
  • Shows exact step where agents would stop in the purchase journey
  • Includes free consultation to prioritize fixes
  • Build benchmarks on your actual tasks and data instead of standardized tests
  • Compare models across performance, cost, and time efficiency simultaneously
  • Grading expertise from major AI evaluations
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check84 −1 (down) since last check
Trust Flow (Majestic)028
Citation Flow (Majestic)059
Referring domains (Majestic)017353

5 details filled in for both companies.

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