Side-by-side comparison · 24 data points
Transform your store with Make, Model, Year search for an efficient shopping experience.
| PartFinder | HyperSearchX | |
|---|---|---|
| Tagline | ||
| Description | ||
| Screenshots | images | images |
| Languages | ||
| Platforms | ||
| Developer | ||
| Listed | ||
| Last updated | — | — |
AI-powered search that helps customers find products faster. Improve product discovery with semantic
| Metric | PartFinder: Year Make Model | HyperSearchX |
|---|---|---|
| Rating | 5.0 ★ | — |
| Total reviews | 15 | 0 |
| Free plan | Yes | Yes |
| Pricing | Free plan available | Free plan available |
| Built for Shopify | — | — |
| Pricing tiers | 1 tier | ★ 4 tiers |
| Listed features | ★ 4 | 3 |
| Languages | 1 supported | 1 supported |
| Listed since | Mar 2017 | May 2026 |
Based on the data on this page, PartFinder: Year Make Model is the stronger choice for most Shopify App Store merchants — 5.0★ vs HyperSearchX's 0.0★ is a meaningful gap that usually reflects real product or support quality differences across the user base.
Pricing entry tiers: PartFinder: Year Make Model at Free plan available, HyperSearchX at Free plan available. Check each app's tier structure for the capacity limits you actually need before deciding — the headline number is the same shape, but the gating shape per tier (seats, usage volume, integrations) varies.
Recommended by size: small/early-stage merchants who need fast install and low risk should default to PartFinder: Year Make Model; mid-market and enterprise merchants with specific feature requirements should evaluate both — HyperSearchX's 0-review base may include the workflow context that matches your specific use case better than PartFinder: Year Make Model's broader-but-shallower coverage.
This verdict is generated from the live marketplace data on this page — rating, review count, pricing tier, and category position all refresh from the canonical Shopify App Store listing every 24 hours. AppRanks does not accept payment to influence comparison outcomes; the methodology is documented on the About page and applies identically to every pair on the site.
Read each app's audit: PartFinder: Year Make Model audit • HyperSearchX audit
| Keyword | PartFinder | HyperSearchX |
|---|---|---|
| year make model | #6 | Not ranked |
| year make model search | #10 | Not ranked |
| model | #16 | Not ranked |
No tracked changes.
Both PartFinder: Year Make Model and HyperSearchX offer paid plans only. PartFinder: Year Make Model starts at Free plan available; HyperSearchX starts at Free plan available. Compare the per-tier features in the Pricing section above before committing.
AppRanks cannot separate these two on rating, because neither publishes one. PartFinder: Year Make Model does carry the larger published review base (15 vs 0). Read both apps' detail pages for the feature breakdown and recent listing changes.
Both apps are one-click installs from the Shopify App Store. PartFinder: Year Make Model has the deeper published review base (15 vs 0), which often — though not always — accompanies better-tested setup docs. AppRanks doesn't measure setup time directly: read the recent reviews on each app's detail page for user-reported install experience.
PartFinder: Year Make Model typically suits early-stage and growth-mode teams based on its published review base (15 reviews). HyperSearchX typically suits early-stage and growth-mode teams based on its published review base (0 reviews). A larger review base generally means the app has been exercised at scale — relevant if you are processing high volume or handling enterprise compliance requirements.
Migration support varies by app and category. PartFinder: Year Make Model and HyperSearchX both publish their export options on their marketplace listing pages (or in their support docs); some apps offer one-click import from competitors, others require CSV. The fastest check: search "import from HyperSearchX" in each app's help center. AppRanks does not track migration tooling directly — this is a category-specific capability worth verifying before commitment.
