Side-by-side comparison · 24 data points
Increase sales with AI Search, advanced filters, and smarter product discovery
| Boost AI Search & Filter | WTS ‑ Year Make Model Search | |
|---|---|---|
| Tagline | ||
| Description | ||
| Screenshots | images | images |
| Languages | ||
| Platforms | ||
| Developer | ||
| Listed | ||
| Last updated | — |
Year Make Model search app fitment widget to help your customer to find the correct auto parts.
| Metric | Boost AI Search & Filter | WTS ‑ Year Make Model Search |
|---|---|---|
| Rating | ★ 4.7 ★ | 4.6 ★ |
| Total reviews | ★ 1.6k | 4 |
| Free plan | Yes | Yes |
| Pricing | Free trial available | Free plan available |
| Built for Shopify | — | — |
| Pricing tiers | ★ 3 tiers | 2 tiers |
| Listed features | ★ 5 | 3 |
| Languages | 1 supported | 1 supported |
| Listed since | Jan 2017 | Dec 2023 |
Boost AI Search & Filter edges out WTS ‑ Year Make Model Search on rating (4.7★ vs 4.6★), but the gap is small enough that pricing fit and feature differentiation should drive the decision more than the headline number. Pricing entry tiers: Boost AI Search & Filter at Free trial available, WTS ‑ Year Make Model Search 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 (apps, orders, integrations) varies. Boost AI Search & Filter has the larger user base (1,580 reviews vs 4), which usually maps to broader integration coverage, faster bug-fix cadence, and a deeper bench of community workflow patterns. WTS ‑ Year Make Model Search's smaller cohort can be an advantage for niche workflows where the bigger app has accumulated bloat. Recommended by store size: small/early-stage merchants who need fast install and low risk should default to Boost AI Search & Filter; mid-market and enterprise merchants with specific feature requirements should evaluate both — WTS ‑ Year Make Model Search's 4-review base may include the workflow context that matches your specific use case better than Boost AI Search & Filter'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: Boost AI Search & Filter audit • WTS ‑ Year Make Model Search audit
| Keyword | Boost AI Search & Filter | WTS ‑ Year Make Model Search |
|---|---|---|
| ai helpdesk | #96 | Not ranked |
| ai helpdesk software | #97 | Not ranked |
| yotpo | #103 | Not ranked |
No tracked changes.
Both Boost AI Search & Filter and WTS ‑ Year Make Model Search offer paid plans only. Boost AI Search & Filter starts at Free trial available; WTS ‑ Year Make Model Search starts at Free plan available. Compare the per-tier features in the Pricing section above before committing.
Boost AI Search & Filter has the higher average rating (4.7★ from 1,580 reviews) compared to WTS ‑ Year Make Model Search (4.6★ from 4 reviews). Both are tracked daily by AppRanks, so the figures here update each refresh cycle.
It depends on what you're optimizing for. Boost AI Search & Filter fits better if you prioritize rating consistency; WTS ‑ Year Make Model Search is the call if you need the larger user base. Read both apps' detail pages on AppRanks for the full feature breakdown, install counts, and recent listing changes.
Both apps are one-click installs from the Shopify App Store marketplace. Boost AI Search & Filter has more onboarding documentation maturity (1,580 reviews vs 4), which usually translates to better-tested setup wizards and quicker time-to-value. AppRanks doesn't measure setup time directly — read the recent reviews on each app's detail page for merchant-reported install experience.
Boost AI Search & Filter typically suits early-stage and growth-mode stores based on its review-base composition (1,580 reviews). WTS ‑ Year Make Model Search aligns more with early-stage and growth-mode stores (4 reviews). Larger review bases generally mean the app has been load-tested at scale — relevant if you're processing high order volume or handling enterprise compliance requirements.
Migration support varies by app and category. Boost AI Search & Filter and WTS ‑ Year Make Model Search 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 WTS ‑ Year Make Model Search" in each app's help center. AppRanks does not track migration tooling directly — this is a category-specific capability worth verifying before commitment.
