// enhancely for Engineering Teams

One line of code.Zero maintenance.

enhancely reads your rendered HTML — the same way Googlebot does — and generates validated JSON-LD schema for every page. No CMS plugin. No database access. No write permissions. One simple integration, and your team never thinks about schema markup again.
Get started → Read the docs
// Where enhancely fits

The missing piece
of your composable stack.

CMS
Content
Contentful, Storyblok, Contentstack, Sanity, TYPO3, WordPress — wherever your editorial content lives. enhancely reads it rendered, not through custom integrations.
€
Commerce
commercetools, Shopify, Shopware, BigCommerce. Prices, availability, SKUs. The factuality layer verifies every value against your live pages.
PIM
Product Data
Akeneo, Pimcore, Salsify. Specs, attributes, variants. Whatever renders to HTML becomes validated structured data.
DAM
Media
Cloudinary, Bynder, Celum. Images, videos, assets. Referenced correctly in schema without manual mapping between services.
SCH
Structured Data
This is where enhancely sits. One service with one job — generate, validate, and serve Schema.org across your entire stack. Architecture-agnostic. No vendor lock-in. No CMS dependency.
↔
Replatform-Proof
Switch CMS. Replatform commerce. Rebuild the frontend. enhancely reads your rendered pages — your stack can change, your schema keeps working.
// Architecture overview

Built for engineering teams.

enhancely integrates with zero friction and zero risk. Here's exactly how it works under the hood.
R/O

Read-Only Access

Standard web crawler reads your publicly rendered HTML. No CMS access. No database connection. No admin credentials. No write permissions to any system. The crawler respects robots.txt and behaves like any search engine bot.

Trust & Security →
API

Full REST API

Programmatic control for everything. Trigger re-crawls, manage page exclusions, retrieve generated schemas, bulk operations. Integrate into your CI/CD pipeline. Dashboard available for non-technical team members. Documentation at docs.enhancely.ai.

API docs →
823

Full Schema.org Vocabulary

All 823 Schema.org types and over 1,500 properties (Schema.org v30.0). Not a subset. Not a simplified mapping. The complete canonical vocabulary, validated against the official spec. Automatically matched to your page content.

HLG

Schema Healing

Content changes break schema. New products, updated prices, changed team members — schema drift starts on day one. enhancely continuously monitors and re-generates validated markup automatically. No manual maintenance. No stale data. No cron jobs.

// Validation architecture

Three gates. Zero exceptions.

Every generated JSON-LD passes through three independent validation layers before deployment. Markup that fails any gate is blocked — it never reaches your site. This architecture is peer-reviewed (Dang et al., Semantic Web Journal, 2025).
Gate 01

Validity

Schema.org spec compliance against the canonical vocabulary (v30.0 — 823 types, 1,500+ properties). Every type, property, value range, and expected type verified. Invalid syntax, wrong property-type combinations, deprecated types — caught and blocked.
Gate 02

Factuality

Cross-references every data point in the generated JSON-LD against your actual rendered page content. Price listed as €99? Verified against the page. Opening hours? Verified. Author name? Verified. No hallucinated values pass this layer.
Gate 03

Compliance

Non-compliant markup is either healed, reduced or blocked. This layer prevents structured data penalties — Google can apply these sitewide.
// Built for production

Not a side project. Production-grade engineering.

The operational details that matter when schema generation runs across millions of pages. Predictable, cache-friendly, fail-safe.
ETG

ETag-based caching

Conditional requests via If-None-Match. Unchanged schemas return 412 Precondition Failed — no re-transfer, no wasted bandwidth. CDN- and edge-compatible. MD5 URL-hash as cache key, recommended TTL one week. Full caching strategy documented.

Cache strategy →
ASY

Asynchronous processing

Defined lifecycle: 201 Created queues a URL, 202 Accepted means processing, 200 OK means ready. Status machine: created → updating → ready | failed. Typical processing time 1–3 minutes. Poll by hash or rely on the cache.

RFC

RFC 7807 error semantics

Every error follows RFC 7807 Problem Details: type, title, status, detail. Machine-readable, no surprise shapes. Rate-limit headers (RateLimit-Limit, RateLimit-Remaining, Retry-After) on every response. Exponential backoff built into the recommended client pattern.

FAI

Silent degradation

API errors never break your page rendering. On 4xx, 5xx, or timeout: serve cached JSON-LD or empty output. Schema is additive, never blocking. Your page always renders — with or without enhancely.

Read-only. Always.

ARCH
// By the numbers

Technical metrics.

823
Schema.org types in the full vocabulary — the complete canonical standard, not a plugin-level subset of 20–30
Schema.org v30.0 — over 1,500 properties
0
write operations to your CMS, database, or backend — enhancely is strictly read-only on your infrastructure
Architecture specification
3
independent validation layers every schema must pass — validity, factuality, compliance — before deployment
Peer-reviewed architecture (Dang et al., Semantic Web Journal, 2025)
<2min
from script tag deployment to first validated JSON-LD live on your site — no configuration required
enhancely onboarding benchmark
// Peer-reviewed validation

Not a claim. Published science.

The University of Nantes published peer-reviewed research on LLM-generated Schema.org markup in the Semantic Web Journal (IOS Press, 2025). Key finding: 40–50% of AI-generated markup without a validation pipeline is invalid, non-factual, or non-compliant.

After applying a three-layer curation pipeline — the same architecture enhancely uses — GPT-4 outperforms human annotators in accuracy and completeness. This isn't a marketing claim. It's reproducible research.

"After applying a three-layer curation pipeline, GPT-4 outperforms human annotators in generating accurate, comprehensive Schema.org markup." — Dang et al., Semantic Web Journal, IOS Press, 2025 · University of Nantes
40–50%
of AI-generated markup fails without a validation pipeline — peer-reviewed finding (Dang et al., 2025)
0
pieces of your source content stored — only the generated JSON-LD output is persisted
async
script loading — no impact on your Core Web Vitals, TTFB, or page performance
REST
API for full programmatic control — trigger crawls, manage exclusions, retrieve schemas
// Technical FAQ

Your concerns. Our answers.

Architecture, security, performance, and integration — without the sales pitch.
Via a standard web crawler that reads your publicly rendered HTML — the same way Googlebot does. No CMS access. No database connection. No admin credentials. No backend API calls. No authentication required. The crawler respects robots.txt directives. It reads what any visitor or search engine would see when loading your page.
Only the generated JSON-LD output — the structured data, not your source content. Page content is processed in real-time and not persisted. When the system re-crawls, it reads from your live site, not from stored copies. You can delete any generated schema from the dashboard at any time. If you cancel your account, all generated schema data is deleted.
Yes. Full control via dashboard and API. Block specific pages, URL patterns, or entire sections. Trigger re-generation on demand. Delete any individual schema. The API supports programmatic control for CI/CD integration. Non-technical team members can manage everything through the dashboard.
Yes. Full REST API for programmatic control. Trigger re-crawls, manage page exclusions, retrieve generated schemas, bulk operations. API documentation at docs.enhancely.ai. The dashboard provides the same functionality for non-technical team members.
Yes — that's exactly where it shines. In composable stacks, content is split across CMS, commerce, PIM, DAM, and search services. None of them generates complete Schema.org markup, and stitching it together manually is fragile. enhancely operates at the page level: it reads the rendered output from all your services combined, generates the full structured data, and delivers it back. Switch CMS, replatform commerce, rebuild the frontend — enhancely keeps working because it never depends on any individual service in your stack.
No. enhancely is explicitly designed for silent degradation. The client-side script is async and non-blocking — if it fails to load, your page renders exactly as it would without enhancely. For API-based integrations, every error response follows RFC 7807 Problem Details with machine-readable structure. Recommended client pattern: cache the last known good schema, fall back to empty output on errors, never let schema generation block page rendering. Client errors (4xx) should be logged but not retried. Server errors (5xx) handled with exponential backoff (1s, 2s, 4s) and cached fallback.
enhancely processes only publicly rendered HTML — the same content any visitor sees. No personal data is collected from your visitors. No cookies are set by enhancely. No tracking scripts are injected. The system reads your content, generates structured data, and injects validated JSON-LD. Your visitor data stays with you. The generated schema contains only facts already publicly visible on your pages. For the full data-handling policy and security architecture, see the Trust & Security page.

One script tag. Done.

Get started → Read the docs