2026: Shopify Apps Become First-Party—How to Choose and Build Your Apps

Series: Structural Changes in the Shopify App Market, Part 1 (of 3)

This series explores the structural changes occurring in the Shopify app market during the generative AI era from three perspectives: the "first-partification" of the platform itself as it incorporates superior functions, the proliferation of low-quality apps due to generative AI ("AI Slop"), and the reality and choices faced by creators confronting "imitation." This three-part column is for both merchants (store operators) who choose apps and developers who create them.

• Part 1: The First-Party Shopify App Era in 2026 – How to Choose and Create Apps (This Article)
• Part 2: Even Apple Can't Prevent the Flood of "AI Slop Apps" – How Merchants Can Protect Themselves in an Era of Exploding Apps
• Part 3: Can Your Designs and Features Be Protected Even if Copied? – The Reality and Choices Faced by Creators Confronting "Imitation"

Shopify built the world's largest e-commerce ecosystem by intentionally keeping its core functions simple and allowing third parties (external developers) to supplement missing features through the app store. However, recent trends at Shopify indicate a clear structural change in this relationship.

The phenomenon of popular features once provided by third parties being successively integrated into Shopify's standard functions or official apps – the so-called "first-partification (in-house development by the platform)" – is accelerating.

This article unravels the historical background (Sherlocking) underlying this phenomenon and analyzes Shopify's "data and AI strategy" as of 2026. Furthermore, it considers guidelines for app selection and development that both businesses (merchants) and developers should adopt.

The History of "Sherlocking" at the Root

When discussing Shopify's first-partification, "Sherlocking" is an essential industry term. It refers to the phenomenon where a platform provider incorporates excellent ideas or products from third parties into its own standard features, thereby undermining the raison d'être of the original app.

The origin of this term dates back to Apple in the early 2000s.

At that time, "Watson," an excellent search tool developed by a third party for Mac, was popular. However, in 2002, Apple integrated features strikingly similar to Watson into its OS's standard search function, "Sherlock 3," and distributed it for free. As a result, Watson lost its customers overnight and was eliminated from the market.

In the modern Shopify ecosystem, a drama with precisely the same structure is unfolding.

Three Patterns and Examples of First-Partification in Shopify

Shopify's incorporation of features involves several typical patterns, differing by development approach or acquisition.

Pattern A: Official UI Provision Following Backend (API) First Deployment

• Representative example: Shopify Translate & Adapt
• Previously dominant apps: Weglot, Langify, LangShop, etc.

When Shopify enhanced its multi-language capabilities (Shopify Markets), it first opened its backend (translation API), such as GraphQL, to third parties. During this period, the situation was "data structure is prepared by Shopify, but translation input screens and automatic translation engines use external apps."

However, Shopify later released its own official free app, "Shopify Translate & Adapt." By officially providing automatic translation functions and an intuitive editing UI, third-party apps that specialized in simple string translation were forced to make a significant shift.

Pattern B: Commoditization of Essential Apps

• Representative example: Shopify Search & Discovery
• Previously dominant apps: Boost Product Filter & Search, Searchise, etc.

For stores with many products, standard search and filtering functions were insufficient, and the introduction of third-party search and filtering apps had long been essential.

Shopify addressed this area by offering its official app, "Search & Discovery." It standardized visual filters, search synonym settings, search result boosting (display order adjustment), and manual linking of related products. The "general e-commerce store requirements" that do not need advanced personalized search can now be fulfilled solely by this official app.

Pattern C: Strategic Acquisition and Freeing of Top-Tier Apps

• Representative example: Checkout Blocks (checkout extension)

This pattern involves acquiring an entire company that already holds a top market share within the ecosystem, rather than "in-house development." As Shopify promoted the transition to Checkout Extensibility, it acquired Checkout Blocks, which had the most proven track record in customizing the checkout screen, and made it free (standardized) for Shopify Plus users. This is a prime example of a strategic acquisition to reduce user friction during a period of technological transition and "buy time."

Why is Officialization Advancing Now? – "Unified Data Layer" and the Presence of AI Assistants

The biggest reason Shopify is incorporating multi-language, search, subscriptions, and checkout functions in-house is the "unification of the data layer." This data integration is particularly crucial for building an AI foundation, including the AI assistant "Sidekick."

Traditional third-party apps managed data in their own databases external to Shopify and synchronized with Shopify via APIs. However, this silos data, preventing AI from correctly cross-analyzing the overall store situation.

When multi-language translation data, search and filter behavior data, and subscription data are all written directly to the "Shopify core data layer," AI can perform advanced inferences and actions like the following:

"The conversion rate for the search term 'summer clothes' is decreasing, so let's review the regional expressions in Translate & Adapt and display this bundle as a related product."

Without a standardized and unified data layer, it is impossible for AI to fully realize its potential to drive the entire ecosystem.

Not Incorporating Everything – The Philosophy of "Coexistence" and Shopify's Approach, as Seen in Klaviyo

While I've discussed the wave of first-partification, Shopify is not attempting to replace all third-party apps in-house.

The most prominent example of this is the relationship with Klaviyo in the marketing automation (MA) field.

The Reason for Investing $100 Million in Klaviyo, Despite Having "Shopify Email"

Shopify provides its own official email marketing tool, "Shopify Email," which at first glance suggests a structure where third-party marketing apps would be eliminated. However, Shopify has actually made a strategic investment of $100 million in Klaviyo, strongly backing the company as a "recommended marketing partner."

Furthermore, on the technical side, Shopify is advancing deep integration at the data layer, such as enabling the AI assistant "Sidekick" to refer to and analyze Klaviyo's marketing data and conversion results.

No Mercy for Low Quality, Maximum Respect for High Quality

What emerges from this example is the clear culture and philosophy of the Shopify platform.

Shopify ruthlessly drives first-partification and commoditization for "low-quality apps" that degrade store display speed or harm the customer experience, or "shallow functions made on a whim."

On the other hand, for third parties that elevate the value of the entire ecosystem with advanced domain knowledge and overwhelming product strength, it shows deep respect and chooses the path of "coexistence and partnership" through financial aid and advanced API integration.

In other words, the essence of first-partification is not simply the exclusion of third parties, but rather "raising the overall quality of the ecosystem and maximizing merchant growth."

In 2026, How to Choose Apps and How to Create Them

With Shopify's promotion of first-partification and coexistence with excellent third parties, the structure of the ecosystem has become clear, and both businesses and developers are now required to have the discernment to identify "quality and sustainability."

For Merchants (Businesses): Three Criteria for Unfailing App Selection

In an era where thoughtless app additions directly lead to site slowdowns and problems, businesses must select apps based on the following perspectives:

• Is it a "modern architecture" natively integrated with Shopify? – Does it adhere to Shopify's latest technology base, such as App Block (theme app extensions) or Checkout Extensibility, rather than older specifications (e.g., direct JavaScript embedding in theme files)? The more seamless the administrative panel's usability (Polaris design) and data integration with Shopify itself, the less it will compromise site display speed and the more minimized the risk of defects.
• Does it solve "deep-seated problems" unique to your industry? – If generic requirements can be covered by Shopify's standard features, there's no need to install a paid app. You should focus your investment on specialized apps that pinpoint and complement "complex business practices specific to your industry" or "particular operational workflows."
• Is long-term "operation and support system" guaranteed? – "Is security robust and data management solid?" and "Is the developer's update frequency and support system well-established?" are top-priority checkpoints when entrusting your critical customer data.

For App Developers: Three Conditions for Surviving on the Platform

This is a strategy to overcome the wave of first-partification by Shopify and continue to be a product chosen as a partner, like Klaviyo.

• From "independent tools" to "modules that extend the Shopify foundation" – Move away from a structure that holds and synchronizes data independently to a modern configuration that directly integrates with Shopify's unified data layer. Apps deeply fused with Shopify's functions will also resonate with Shopify's AI and become an "indispensable presence that won't be excluded" by the platform.
• Specialize in "complexity and domain knowledge" that Shopify itself won't touch – Shopify's in-house development focuses only on "broad but shallow features (MVP)" used by 80% of all merchants. Developers should aim for "deep areas that Shopify itself finds difficult to generalize," such as specific industry practices, complex B2B transaction rules, and local logistics/tax regulations. This gritty domain knowledge becomes a powerful moat that cannot be imitated by AI or the platform.
• Make "robustness" and "trust" the biggest differentiators – Beyond mere feature comparison, build a robust system architecture, thorough security, and a strong customer success system. It is crucial to refine reliability as an infrastructure that enterprise companies can confidently adopt.

Conclusion: A "True Ecosystem" Beyond Elimination

Just as the appearance of "Sherlock" elevated the quality of Mac apps, Shopify's first-partification sends a strong message to third parties: "Provide true value that supports businesses, not just one-off ideas."

Correctly understanding the platform's core foundation and, on that basis, continuing to solve "deep problems" that cannot be realized elsewhere. This is the only roadmap for both merchants and developers to achieve sustainable growth in the AI era of 2026 and beyond.

In Part 2, we will discuss the proliferation of "AI Slop apps" resulting from the lowered barrier to app creation by generative AI, and concrete self-defense measures for merchants.

Disclaimer

• This article is based on publicly available information as of August 2026 and our company's views. The form and specifications of each app/function may change according to the policies of Shopify and each company.