NxisAI is the first schema platform built natively around MCP ā making your structured data queryable by AI agents, not just search engines. Scan your live pages, generate valid schema, and deploy in one click via JS tag, Shopify, or SSR/SSG SDK. Multi-site, no dev queue. Would love your feedback in the comments š
No reviews yetBe the first to leave a review for NxisAI
Maker
š
Hey Product Hunt š
I'm Sergei, one of three co-founders of NxisAI. Over a year of building, and today's launch day.
The friction we kept hitting:
Shipping schema markup is a workflow problem before it's a technical one. You're either hand-coding JSON-LD, navigating plugin roulette across CMSes, or asking ChatGPT to generate it and manually checking validity afterward.
Then it's a dev ticket. Two sprints of waiting. Push to production. Page content changes the next week. Schema doesn't.
Across 50 pages or 10 sites, that workflow doesn't scale.
What we built:
ā AI AutoFill ā extraction pipeline that reads your live DOM (not flattened page text) and maps content nodes to schema fields.
ā Guardrailed generation ā every field validates against the current Schema.org spec before you see it. The model proposes; the validation layer enforces.
ā One-click deploy ā async JS tag, native Shopify, or SSR/SSG SDK for Next.js, Remix, Nuxt, SvelteKit.
ā Centralized hub ā manage up to 10 sites from one dashboard. Push updates or roll back instantly.
The angle most schema tools aren't covering yet:
NxisAI ships with native MCP integration. Your schema becomes queryable by AI agents directly ā no scraping, no DOM brittleness, no token burn from dumping the full graph into context.
An agent can read your BlogPosting schema to draft in your brand's structure, or query your Product data programmatically.
Schema started as an SEO deliverable. It's increasingly being treated as infrastructure for agentic workflows. We built NxisAI for both surfaces.
The Founder's Package:
25 lifetime-pricelock seats at $16/mo. 30-day handshake guarantee. Direct Discord access to the three of us.
Reggie (architecture/engineering) and Christian (UI/UX) are in the comments today too. Ask us anything ā about the product, the MCP architecture, the validation pipeline, why we made specific design calls. We'll answer everything.
Site: nxisai.com, use code "FOUNDER2026" for early access before the official launch.