JSON-LD for SEO vs AgentReady (2026): The Original Schema App vs the Agent Era

JSON-LD for SEO is the app that invented this category: it has been adding structured data to Shopify stores since 2015, years before most merchants had heard the word schema. We build AgentReady, so read this knowing where we stand. Facts below come from each app's public listing as of June 10, 2026, and where the original is ahead, we say so.

The short version

JSON-LD for SEO is the trusted veteran of the search layer: deep rich-results coverage, Google Merchant Center field mapping, 20+ review app integrations, and monitoring that tells you when rich results break. AgentReady treats that layer as the foundation of a different job: making your store legible to AI shopping assistants and proving it's working with server-verified agent traffic. The honest fork: if your traffic strategy lives and dies on Google rich results and Merchant Center, the original has a decade of focus there. If you believe discovery is shifting toward assistants, you want the markup plus the agent surfaces plus the evidence.

What JSON-LD for SEO does well

Verified from their listing:

• The longest track record in the category. Running since October 2015, 4.9 stars across 417 reviews, built by Ilana Davis, a respected independent developer.
• Review-app breadth. Integrations with 20+ review apps, including Judge.me and Klaviyo Reviews, so rating markup reflects real reviews from almost any stack.
• Merchant Center depth. Connects the schema fields Google Merchant Center needs for Shopping, Ads, and YouTube Shopping, which matters a lot if paid Google channels drive your revenue.
• Monitoring. Ongoing rich-results monitoring and a structured-data audit, so regressions get caught instead of silently costing traffic.
• Education. An included SEO video course, in keeping with a decade of genuinely helpful content.

Pricing is $399 per year with a 7-day trial.

Where AgentReady plays a different game

AgentReady generates the same core structured-data layer (Product, Collection, Article, Page, FAQ, HowTo, Recipe, Organization, breadcrumbs) with zero theme edits, then keeps going:

• The agent layer. An llms.txt discovery file maintained automatically, an MCP endpoint agents query like an API, and an agentic commerce feed. "Optimized for LLMs" is a claim; these are surfaces.
• Proof, server-side. AgentReady verifies AI agent visits and shows you which bots read your store, with a weekly digest. You watch GPTBot, ClaudeBot, and PerplexityBot in your own data instead of trusting that markup is reaching anyone.
• A readiness score and prioritized checklist, so you fix what matters first instead of toggling switches.
• Structured content tools. A reusable FAQ library assigned to products, collections, or pages, with a visible accordion block so the markup always matches what shoppers see; multi-location LocalBusiness schema with per-location pages and hours.
• Real review data, 21 app integrations. Judge.me, Yotpo, Okendo, Loox, Stamped, Junip, REVIEWS.io, Fera, Klaviyo Reviews, Growave, Opinew, Vitals, and more, plus Shopify's standard review metafields as the universal fallback. Apps with documented data get auto-detected; the rest are a one-click selection in settings.
• Pricing that starts at zero. Free up to 500 products, then $9/month (5,000 products) and $29/month (50,000). Annual pricing is twelve months for the price of nine.

Side by side

The honest recommendation

If Google Shopping and rich results are the heart of your acquisition and you want a decade-proven specialist watching that layer, JSON-LD for SEO has earned its reputation and its price. If you want the structured-data layer plus the surfaces AI assistants actually read plus server-side proof that agents are visiting, that's the job AgentReady was built for, and the free audit shows you where your store stands before you spend anything.

Running one and curious about the other? Ask us honestly, including whether switching is worth it for your store, because sometimes it isn't.