Side-by-side comparison · 24 data points
Multi-catalog Year Make Model Search & product compatibility checks. YMM for Parts, Accessories etc.
| Fynq Fitment ‑ Year Make Model | Boost AI Search & Filter | |
|---|---|---|
| Tagline | ||
| Description | ||
| Screenshots | images | images |
| Languages | ||
| Platforms | ||
| Developer | ||
| Listed | ||
| Last updated | — | — |
Increase sales with AI Search, advanced filters, and smarter product discovery
| Metric | Fynq Fitment ‑ Year Make Model | Boost AI Search & Filter |
|---|---|---|
| Rating | — | 4.7 ★ |
| Total reviews | 0 | 1.6k |
| Free plan | Yes | Yes |
| Pricing | Free plan available | Free trial available |
| Built for Shopify | — | — |
| Pricing tiers | 3 tiers | 3 tiers |
| Listed features | 5 | 5 |
| Languages | 1 supported | 1 supported |
| Listed since | Feb 2026 | Jan 2017 |
Based on the data on this page, Boost AI Search & Filter is the stronger choice for most Shopify App Store merchants — 4.7★ vs Fynq Fitment ‑ Year Make Model's 0.0★ is a meaningful gap that usually reflects real product or support quality differences across the user base. Pricing entry tiers: Fynq Fitment ‑ Year Make Model at Free plan available, Boost AI Search & Filter at Free trial 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 (1,590 reviews vs 0), which usually maps to broader integration coverage, faster bug-fix cadence, and a deeper bench of community workflow patterns. Fynq Fitment ‑ Year Make Model'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 — Fynq Fitment ‑ Year Make Model's 0-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: Fynq Fitment ‑ Year Make Model audit • Boost AI Search & Filter audit
| Keyword | Fynq Fitment ‑ Year Make Model | Boost AI Search & Filter |
|---|---|---|
| ai quiz maker | #230 | #221 |
No tracked changes.
Both Fynq Fitment ‑ Year Make Model and Boost AI Search & Filter offer paid plans only. Fynq Fitment ‑ Year Make Model starts at Free plan available; Boost AI Search & Filter starts at Free trial available. Compare the per-tier features in the Pricing section above before committing.
It depends on what you're optimizing for. Fynq Fitment ‑ Year Make Model fits better if you prioritize broader integrations; Boost AI Search & Filter is the call if you need the higher-rated option. 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 (1,590 reviews vs 0), 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.
Fynq Fitment ‑ Year Make Model typically suits early-stage and growth-mode stores based on its review-base composition (0 reviews). Boost AI Search & Filter aligns more with early-stage and growth-mode stores (1,590 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. Fynq Fitment ‑ Year Make Model and Boost AI Search & Filter 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 Fynq Fitment ‑ Year Make Model" in each app's help center. AppRanks does not track migration tooling directly — this is a category-specific capability worth verifying before commitment.
