C: Year Make Model Search vs Motive ‑ Privacy‑Minded Searchfor Shopify (2026)
C: Year Make Model Search and Motive ‑ Privacy‑Minded Search offer distinct approaches to improving product discovery on Shopify stores. C: Year Make Model Search focuses on structured search for specific product categories, particularly automotive, electronics, and related parts. Its strength lies in enabling customers to find products based on Year, Make, Model, and other specific attributes, which is crucial for stores with complex product compatibility requirements. Motive, on the other hand, positions itself as an AI-powered search solution emphasizing a privacy-minded approach, leveraging conversational AI to understand customer queries and provide dynamic search results, including AI-driven product recommendations and improved search result handling for zero-result scenarios.
At a Glance
C: Year Make Model Search
92 reviews
Motive ‑ Privacy‑Minded Search
7 reviews
Detailed Overview
C: Year Make Model Search
By utilizing the C: Year Make Model Search, your customers can efficiently discover products.
Key Features
- Manage YMM rows by adding them one by one or importing via CSV file.
- Use "Bulk YMM" to assign multiple YMM rows to multiple products at once.
- Use "Universal Products" to show in each result irrespective of search criteria.
- Get YMM information inside orders | Fitment Match and Compatibility Chart.
- URL Redirect Feature (Custom Redirect/Tag Based/Metafields Based Filtering)
Motive ‑ Privacy‑Minded Search
AI-powered ecommerce search for better discovery. Built with our values of privacy and trust.
Key Features
- Questions AI brings Gen AI to your search box with AI overviews and AI questions
- Conversational AI analytics so you can chat directly with your shop
- Business Rules to boost products, set redirections and show promotional banners
- Visual customisations, customisable filters, synonyms and more
- AI-powered search built with the Empathy AI private and sustainable cloud
Feature Comparison
| Rating | 4.6/5 | 5/5 |
Rating C: Year Make Model Search4.6/5 Motive ‑ Privacy‑Minded Search5/5 | ||
| Reviews | 92 | 7 |
Reviews C: Year Make Model Search92 Motive ‑ Privacy‑Minded Search7 | ||
| Search Focus | Structured (YMM-based) | AI-Powered (Conversational) |
Search Focus C: Year Make Model SearchStructured (YMM-based) Motive ‑ Privacy‑Minded SearchAI-Powered (Conversational) | ||
| Target Merchant | Parts & Accessories (Vehicle, Electronics) | General E-commerce Stores |
Target Merchant C: Year Make Model SearchParts & Accessories (Vehicle, Electronics) Motive ‑ Privacy‑Minded SearchGeneral E-commerce Stores | ||
| Key Differentiator | YMM data management & compatibility charts | Conversational AI & privacy-focused analytics |
Key Differentiator C: Year Make Model SearchYMM data management & compatibility charts Motive ‑ Privacy‑Minded SearchConversational AI & privacy-focused analytics | ||
| Data Import | CSV Import for YMM Data | Not explicitly mentioned |
Data Import C: Year Make Model SearchCSV Import for YMM Data Motive ‑ Privacy‑Minded SearchNot explicitly mentioned | ||
| Reporting & Analytics | YMM Information inside orders | Conversational AI analytics |
Reporting & Analytics C: Year Make Model SearchYMM Information inside orders Motive ‑ Privacy‑Minded SearchConversational AI analytics | ||
| Customization | Custom Redirect/Tag Based/Metafields Based Filtering | Visual customisations, customisable filters, synonyms |
Customization C: Year Make Model SearchCustom Redirect/Tag Based/Metafields Based Filtering Motive ‑ Privacy‑Minded SearchVisual customisations, customisable filters, synonyms | ||
| Ease of Use | Potentially complex due to manual YMM management | Potentially easier due to AI-driven automation |
Ease of Use C: Year Make Model SearchPotentially complex due to manual YMM management Motive ‑ Privacy‑Minded SearchPotentially easier due to AI-driven automation | ||
Our Verdict
For merchants selling products where compatibility is key (e.g., auto parts, electronics accessories), C: Year Make Model Search is the clear choice. Its dedicated YMM management and compatibility chart features directly address the needs of these businesses. While Motive has a higher rating, its lower number of reviews and focus on general e-commerce may not offer the required level of granularity for compatibility-driven product searches. However, for stores with a broader product catalog and a focus on leveraging AI to improve the overall search experience, Motive's Conversational AI and privacy-focused approach may be a more suitable fit.
Common Questions
Which app is better for a store selling car parts?
C: Year Make Model Search is specifically designed for this, with YMM data management and compatibility charts.
Which app focuses more on AI and personalization?
Motive ‑ Privacy‑Minded Search leverages AI to personalize the search experience and provides conversational analytics.
Does C: Year Make Model Search allow bulk product updates?
Yes, it allows assigning multiple YMM rows to products at once through the Bulk YMM feature.
Is either app focused on customer privacy?
Motive ‑ Privacy‑Minded Search is explicitly built with privacy in mind, using the Empathy AI private and sustainable cloud.
How do the apps handle searches with no results?
Motive provides AI pivots to reduce bounce rates when searches return no results, C: Year Make Model Search doesn't explicitly mention a no-result handling strategy.
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