Catalog alternatives, sorted by the job you are hiring for

First, make sure this is the Catalog you meant. The phrase carries at least three meanings in ecommerce right now: Catalog the startup (getcatalog.ai, the subject of this page), Shopify Catalog (Shopify's own first-party product feed for AI agents, free with the platform), and the generic category of AI catalog makers that turn product lists into PDFs and lookbooks. If you wanted the last one, tools like Catalog Machine are a different aisle entirely. This page covers the job Catalog the startup is hired for: making your product data readable and available to AI shopping surfaces.

Then decide how much of the job is data. Catalog treats AI visibility as a pure data problem: enrich the attributes, distribute the feed, measure the referrals. That framing is clean, but the AI-readability job also lives on your storefront, in structured data, MCP endpoints, and the fit and compatibility fields on the product pages agents actually visit. Feed platforms fix the feed. Kinect and the storefront-side tools fix what agents see when they arrive.

And weigh proof against stage. Catalog is a 2025-founded pre-seed company with no public review base or named customers as of August 2026. That is not a criticism, every vendor starts there, but it prices in differently against Feedonomics syndicating enterprise feeds for over a decade, or Salsify and Akeneo carrying long enterprise review histories. If you want the thesis without the vendor risk, the incumbents and the first-party route are the hedge.

Tool	Job	Setup	Pricing shape
Kinect	Catalog enrichment + agent-ready storefront, measured on revenue	White-glove, live same day	Custom per store
Shopify Catalog	First-party product feed to ChatGPT and agentic surfaces	Built into Shopify	Free
Feedonomics	Full-service feed management and syndication	Managed service	Custom
Salsify	Enterprise product experience management	Sales-led	Custom
Akeneo	Product information management with an open-source core	Self-serve and sales-led	Free community edition, paid tiers
Lily AI	AI attribute enrichment for enterprise retail	Sales-led	Custom
Spangle	AI-generated storefronts plus AI discovery optimization	Sales-led	Custom, no published pricing
Envive	Enterprise ensemble of sales, search, and content agents	Sales-led	Custom, no published pricing
Dialog	AI shopping agent with brand agents inside ChatGPT	Self-serve	From $249/mo, visitor tiers

The honest version first: there is nothing negative on the record about Catalog, because there is almost nothing on the record at all. The founding story is credible (an Afterpay and Square operator plus a Harvard-trained machine learning engineer), Acrew Capital led the round with WndrCo and Hustle Fund participating, and the pitch line, AI cannot recommend what it cannot read, is the correct diagnosis. What a buyer cannot do yet is check any of it: no reviews anywhere, no public customers, no pricing, and a free AI readiness audit as the front door of a sales-led motion.

The second reason is the first-party question. Shopify now ships its own Catalog, a free feed that puts a store's products in front of ChatGPT and the other agentic surfaces Shopify has deals with. It does not enrich attributes or add external signals the way getcatalog.ai promises, but it covers distribution for zero dollars, so the startup's pitch has to win on enrichment quality and non-Shopify surfaces. A Shopify brand should turn the first-party feed on before paying anyone.

The third is that data is only half the job. An enriched feed helps an AI assistant read your products, but the assistant also visits the storefront, and what it finds there, structured data, a working MCP endpoint, complete fit and compatibility fields on real product pages, is the other half. Brands that want the whole job are shopping for a platform that owns both the data and the storefront, not a feed with better adjectives.

Kinect treats catalog enrichment as one job of six on the same intelligence. The team trains it white-glove on your catalog, policies, and voice, and it fills in the missing fit, compatibility, and use-case fields, keeps product pages adapting to the shopper, and maintains an agent-ready storefront for the AI assistants shopping on customers' behalf, the same surface Catalog's feed is trying to reach from the outside. It is live the same day, and the result is measured rather than asserted: 3 to 6% more revenue behind an A/B split against your own baseline, with the methodology published at how we measure.

Envive comes at AI visibility from the content side, with brand-trained agents for sales, search, and SEO/GEO content at enterprise scale, a $15M Series A, and rosters like Spanx and Supergoop!. It is sales-led with no published pricing. The field is at 9 Envive alternatives.

Feedonomics, owned by BigCommerce, is the managed-service incumbent for feed syndication: it normalizes and distributes product data to hundreds of channels, now including AI surfaces, with more than a decade of enterprise deployments behind it. It is the lowest-risk way to buy the distribution half of Catalog's pitch.

Salsify and Akeneo own the system-of-record job. Salsify's product experience management platform is where enterprise brands manage the content that feeds every channel, and Akeneo does the PIM job with an open-source core and a free community edition. Neither is AI-commerce-native, and both are where the attribute data should live if you have real catalog complexity.

Lily AI is the closest enterprise analogue to Catalog's enrichment promise: it generates consumer-language attributes for retail catalogs and feeds them into search, recommendations, and demand forecasting. It is sales-led and priced for enterprise retail, with the reference base Catalog does not have yet.

Shopify Catalog is the first-party route: Shopify assembles your product data and serves it to ChatGPT and its other agentic commerce partners directly, free, with no vendor evaluation at all. It will not enrich thin attributes and it does not cover non-Shopify surfaces, but it sets the baseline any paid tool has to beat. Turning it on costs nothing and clarifies exactly what gap, if any, you are paying a vendor to close. How the assistants consume product data end to end is mapped in the field guide to AI shopping agents.

Spangle chases the same AI-visibility outcome from the storefront side, generating adaptive experiences per visitor and optimizing AI discovery for enterprise fashion brands like REVOLVE and Steve Madden. It is a Series A company at a $100M valuation, sales-led like Catalog but later-stage, with vendor-reported lifts in place of a review base. The field is at 9 Spangle alternatives.

Dialog deploys brand agents inside ChatGPT, Perplexity, and Gemini and pairs them with an AI shopping agent on the storefront, from $249 a month with a 5.0-star Shopify listing. If the goal was your brand answering correctly inside the assistants, an agent is the other mechanism for it. The field is at 9 Dialog alternatives.

Kinect competes for the brand that read Catalog's pitch and nodded, AI assistants cannot recommend products they cannot read, and wants the fix to cover the storefront too. One intelligence per brand runs catalog enrichment, the agent-ready storefront, dynamic product pages, the AI sales rep, and customer intelligence together, so the data that feeds the AI surfaces and the pages the agents actually visit stay consistent.

And the proof shape is different. A feed tool reports sessions referred. Kinect launches every store behind an A/B split and reports 3 to 6% more revenue against your own baseline, with the methodology published. For a job this new, buying the measured version is the conservative move. A demo runs on your own catalog.