> ## Documentation Index
> Fetch the complete documentation index at: https://docs.trymudra.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Technical Structure Score

> How AI-ready your site is at the infra level.

<img
  src="https://mintcdn.com/mudra-a1740181/BQRSHNQBea36nrPV/images/TechnicalStructureImage.png?fit=max&auto=format&n=BQRSHNQBea36nrPV&q=85&s=a39c30ab5fc8d16000134fb5015b3927"
  alt="Technical Structure Score sample chart"
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  width="4020"
  height="3880"
  data-path="images/TechnicalStructureImage.png"
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## What is it?

The **Technical Structure Score** evaluates each crawled page across four dimensions that AI models use to understand your content. Pages are scored **0–100**, then aggregated to a project-level score.

***

## The four dimensions

### Schema (40 points)

* **J1:** JSON-LD present on page (10 pts)
* **J2:** Valid structure (8 pts)
* **J3:** Relevant properties included (11 pts)
* **J4:** Coverage of AEO-relevant schema types (11 pts)

Morphiq Labs checks for 17 AEO-relevant schema types including `Organization`, `Product`, `FAQPage`, `HowTo`, `Article`, `SoftwareApplication`, `WebApplication`, `OfferCatalog`, `VideoObject`, `ItemList`, `Review`, and `Person`.

### Metadata (30 points)

* **M1:** Title tag present and descriptive (8 pts)
* **M2:** Meta description present and aligned (8 pts)
* **M3:** Canonical URL set (6 pts)
* **M4:** Open Graph tags present (4 pts)
* **M5:** Twitter Card tags present (4 pts)

### FAQ (20 points)

* Scored as `min(count × 5, 20)`
* Only evaluated on relevant page types: home, pricing, features, product, solutions, blog
* Contact, demo, login, signup, and legal pages are excluded

### Content (10 points)

* **C1:** Word count ≥ 300 (5 pts)
* **C2:** At least 3 paragraphs (5 pts)

***

## Per-page total score

Each page’s score is the sum of its four dimension scores, for a maximum of **100 points**:

$\text{Page Score} = \text{Schema (0–40)} + \text{Metadata (0–30)} + \text{FAQ (0–20)} + \text{Content (0–10)}$

***

## Why these four?

* **Schema (40 pts)** — The most direct machine-readable signal; weighted the highest.
* **Metadata (30 pts)** — Helps models understand page purpose and intent.
* **FAQ (20 pts)** — Maps directly to how users query AI models.
* **Content (10 pts)** — Ensures pages have enough substance to be cited.

Heading hierarchy and semantic HTML were excluded because users on platforms like Webflow and Shopify have limited control over them.

***

## From page scores to project score

Morphiq Labs aggregates per-page scores into a single **Technical Structure Score** for your project — the average Page Score across the key pages Morphiq Labs crawls for your domain.

This gives you a single number between **0 and 100** that reflects:

> “On average, how well structured is our site for AI systems to crawl, parse, and reuse?”

***

## Score interpretation

* **0–39:** Significant gaps — AI models may struggle to parse your pages
* **40–69:** Partial coverage — some dimensions need attention
* **70–100:** Well-structured — your site is readable by AI systems
