How it works

The pipeline behind the product.

Four steps. Three validation layers. One automated pipeline that turns your website content into validated, Google-compliant Schema.org JSON-LD — without manual work.
Get started → Set up enhancely 
graph LR
  A["Your Website"] --> B["Crawl"]
  B --> C["Understand"]
  C --> D["3-Layer Validation"]
  D --> E["Store"]
  E --> F["Deploy"]
  F --> G["AI Search Engines"]
  D:::accent
Fig. 1 — The enhancely pipeline: from crawling to real-time deployment.

enhancely’s pipeline runs continuously and automatically. From the moment you connect your domain, every publicly accessible page is analyzed, understood, and enriched with structured data. Here’s exactly what happens under the hood.

// The pipeline

Four steps. Fully automatic.

01

Crawl

enhancely reads all publicly accessible pages on your website. No manual sitemap configuration needed. The crawler discovers pages automatically, respects your robots.txt, and runs responsibly without affecting server performance. Initial scan: typically under 1 hour for sites under 10,000 pages.
02

Understand

AI identifies page types, entities, and relationships — articles, products, FAQs, organizations, people, events, locations — and generates accurate Schema.org markup in JSON-LD format. Only values grounded in actual page content. The system determines which of the 806 Schema.org types apply to each page automatically.
03

Store

All generated markup is stored securely in AWS infrastructure with version history and automatic backup. Full rollback capability. Single source of truth for your structured data. Encryption: TLS 1.3 in transit, AES-256 at rest. EU region available.
04

Deploy

From that point on, all schema updates are deployed automatically. When content changes, markup updates in real-time. Your site stays AI-ready 24/7 without any manual intervention. Available via native CMS plugins, REST API, or direct snippet integration.
// Quality gate

Every markup block passes three tests before it goes live.

01

Validity

Every type and property checked against the canonical Schema.org specification. Correct nesting, valid data ranges, required fields present. No spec violations reach your pages.

02

Factuality

Every extracted value cross-referenced against the actual page content. Price in markup matches page price. Author matches byline. Date matches publication. No fabricated values — ever.

03

Compliance

Google, Bing, and AI search engine guidelines verified before deployment. Rich Result eligibility confirmed. Policy violations flagged before they cost rankings or trigger manual actions.

// Peer-reviewed science

Not a claim.
A proven pipeline.

The architecture behind enhancely’s validation pipeline is grounded in peer-reviewed research. A study from the University of Nantes demonstrated that LLM-generated Schema.org markup requires a structured multi-step curation pipeline to reach enterprise quality — checking validity, factuality, and compliance independently.

After applying this pipeline, GPT-4 outperforms human annotators in generating accurate, comprehensive Schema.org markup.

Dang et al. — "LLM4Schema.org" · Semantic Web Journal, IOS Press, 2025 · University of Nantes / LS2N
40–50%
of uncurated LLM markup fails validity, factuality or compliance checks
0.707
MIMR score — curated GPT-4 outperforms human annotators in benchmarks
3
independent validation layers required for enterprise-grade quality
0
hallucinated values after proper curation — only real page data used

“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
// Key facts

The numbers speak.

806
Schema.org types
Full vocabulary coverage — the right types selected automatically per page
3
Validation layers
Validity · Factuality · Compliance — every markup block triple-checked
<2min
Setup time
No backend change, no dev sprint, no JSON-LD expertise required
0
Hallucinations
Only real page data used — zero fabricated or invented values
→
Ready to set up enhancely?
Six steps from sign-up to live structured data. Under 2 minutes.
Set up enhancely →
// Resources

Learn more.

Setup
How to set up enhancely
Six steps from sign-up to live structured data
Int
Integrations
WordPress, TYPO3, Kirby, Magnolia, FirstSpirit, and more
Docs
API Documentation
Complete API reference and integration guides
Learn
What is Schema.org?
Why structured data matters for AI search
// FAQ

How enhancely works. FAQ.

The pipeline runs automatically and continuously. Step 1 (Crawl): enhancely reads every publicly accessible page on your site — no sitemap setup needed, robots.txt respected. Step 2 (Understand): AI analyzes each page to identify entities, page types, and relationships, then generates Schema.org JSON-LD grounded in actual content. Step 3 (Store): Validated markup is stored securely on AWS with version history and rollback capability. Step 4 (Deploy): JSON-LD is served in real-time via your integration method (plugin, API, or snippet). When your content changes, the cycle repeats automatically.
Layer 1 — Validity: Every type and property is verified against the full Schema.org specification. Correct nesting, valid data types, required fields present. Layer 2 — Factuality: Every extracted value is cross-referenced against actual page content. If the markup says “price: €49”, the page must show €49. No hallucinated or fabricated values. Layer 3 — Compliance: Markup is checked against current Google, Bing, and AI search engine guidelines. Rich Result eligibility is confirmed. Policy violations are flagged before they go live. All three layers must pass before any markup reaches your site.
Schema Healing is enhancely’s automated repair system for broken or degraded structured data. It detects invalid properties, wrong value ranges, non-compliant values, deprecated types and broken markup. When issues are found, Schema Healing repairs them automatically through the 3-layer curation pipeline. This means legacy schema from previous SEO tools, theme-generated markup, or hand-written JSON-LD gets fixed and kept current — reducing the risk of Google penalties from invalid structured data.
enhancely detects existing JSON-LD on your pages and merges intelligently. If your CMS or SEO plugin already generates basic Organization or WebSite schema, enhancely enriches it — adding missing properties, correcting invalid values, and supplementing with additional types your page qualifies for. It does not duplicate or conflict with existing markup. If existing schema has errors, Schema Healing repairs them. The result: a single, comprehensive, validated JSON-LD block per page.
It depends on your integration method. For CMS integrations with webhook support (Contentful, Storyblok, Contentstack, WordPress), updates trigger instantly when content is published. For all other setups, enhancely’s scheduled crawl cycle detects content changes automatically — new markup is typically generated and available within minutes. The deployed JSON-LD is served from AWS infrastructure with global availability and sub-second response times.

Your content is already perfect for humans.

Make it perfect for AI.
Get started → Talk to sales