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Year/Make/Model fitment search for Shopify. 8 verticals, Smart Parse, and your data in Shopify metaobjects — not a vendor database. Free tier, Pro at $49.

Website, pricing, platforms and company facts side by side.
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| Website | propivotai.com | normalview.pro |
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| Company | Startup from the United States · 1 - 9 employees · 2025 | Startup from the United States · 1 - 9 employees · 2026 |
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In their own words, as submitted to SaaSHub.


ProPivotAI gives creators, entrepreneurs, and digital businesses a full team of specialized AI Agents that live directly inside ChatGPT. Each Agent has a defined role. Content, campaigns, operations, analytics, offer creation, client journey design, revenue optimization, and more! So you can run...
ViewForge is a Year Make Model (YMM) parts finder for Shopify. Shoppers pick their vehicle, machine or device from cascading dropdowns and see only the parts that fit. Fitment search works across eight verticals — auto, motorcycle, tractor, marine, power equipment, bicycle, printer and...
What each product offers, as listed by its team.


An editorial look at what each product does well and who it suits.


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Why this product is good
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ViewForge: YMM Search & Filter
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing ProPivotAI and ViewForge.
ProPivotAI's answer
ProPivotAI is built on the OpenAI platform and operates entirely inside ChatGPT. The system combines role-based Agent architecture, structured workflow design, and optimized prompt engineering to create a seamless business workspace with no external setup required.
ViewForge's answer:
ProPivotAI's answer
ProPivotAI gives creators and digital businesses a complete team of specialized AI Agents that operate directly inside ChatGPT. Each Agent has a clearly defined role such as content, strategy, analytics, operations, campaigns, or offers. This creates a structured, all-in-one workflow system rather than a collection of disconnected prompts. Users get clarity, speed, and consistency in their daily execution with zero setup or integrations required.
ViewForge's answer:
Three things. (1) Data ownership: ViewForge writes fitment as Shopify metaobjects native to your store — most competitors store fitment in their own database. (2) 8 verticals out of the box: auto, motorcycle, tractor, marine, power equipment, bicycle, printer, electronics — most competitors are automotive-only. (3) Smart Parse: extract fitment automatically from your existing product titles and descriptions instead of re-typing everything.
ProPivotAI's answer
ProPivotAI replaces scattered prompts and AI hacks with a unified workspace designed for real business operations. Instead of a single tool that does one thing well, users get eleven purpose-built Agents working together inside ChatGPT to streamline content, planning, client management, and growth. It saves more than twenty hours a week, improves output quality, and delivers a predictable workflow that creators and small teams can rely on.
ViewForge's answer:
Data ownership. Fitment lives in your Shopify metaobjects, so uninstalling does not take your compatibility data with it. Convermax, EasySearch and PartFinder all keep it in their own databases, and getting it back depends on their export tooling on the day you cancel.
Cost at the low end. The search widget, the compatibility table on the product page and the saved-vehicle garage are all on the free tier, up to 50 products, with no expiry. EasySearch puts the table and the garage behind its $75/month Premium plan. Convermax starts at $250/month.
Automotive and non-automotive coverage. Eight built-in templates, and fully custom templates from $19/month, for catalogs that do not decompose into Year/Make/Model at all.
ProPivotAI's answer
ProPivotAI is built for creators, freelancers, coaches, and online business owners who want clear systems, consistent output, and streamlined operations. It also supports small teams that manage content, campaigns, client delivery, and analytics. The platform is ideal for digital businesses that want to leverage AI without dealing with complex tools, integrations, or steep learning curves.
ViewForge's answer:
Shopify merchants whose customers need to know whether a part fits before they will buy it — and who do not have an engineer on staff to build that themselves.
Concretely: auto and truck parts retailers, powersports and motorcycle dealers, tractor and agricultural parts sellers, marine and outboard suppliers, small-engine and power equipment stores, bicycle and e-bike component shops, printer supply merchants, and electronics accessory sellers.
Catalog sizes run from a few dozen products on the free tier up into the tens of thousands; it is running in production on a catalog of roughly 40,000 SKUs. The common thread is not the industry — it is that "does this fit my thing" is the question deciding the sale.
ProPivotAI's answer
ProPivotAI was created after recognizing that most AI tools focus on prompts instead of predictable workflows. Creators and digital business owners were spending more time fixing AI output than actually growing their business. ProPivotAI was designed to solve that through a structured and intelligent workspace inside ChatGPT that feels like having a small back-office team working alongside you every day.
ViewForge's answer:
ViewForge came out of agency work. Normal View was building for a parts retailer running roughly 12,000 SKUs who needed fitment search, and every app we evaluated stored the merchant's compatibility data in the vendor's own database.
That is a strange trade when you look at it directly. Fitment data is genuinely expensive to produce — it is weeks of work — and the merchant would not own the result. It would belong to whichever app happened to be installed that year.
Shopify metaobjects made a different answer possible: write fitment as native structured data inside the merchant's own store. The theme reads it, the Storefront API queries it, Admin GraphQL exports it, and it is still there after an uninstall. That decision is what the rest of the app is built around.
Everything else came from real catalogs rather than a roadmap. Eight verticals exist because a tractor catalog is not Year/Make/Model. Smart Parse exists because that retailer had already written fitment into 12,000 product titles, and nobody was ever going to retype them.
ProPivotAI's answer
Content creators and influencers
Freelancers and solo entrepreneurs
Digital marketing professionals
Coaches and consultants
Small online businesses
Early-stage teams that want scalable systems
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