> ## Documentation Index
> Fetch the complete documentation index at: https://docs.superlines.io/llms.txt
> Use this file to discover all available pages before exploring further.
# AI Search Checker
> Analyze any webpage for AI search readiness across five key dimensions.
The AI Search Checker evaluates how well any webpage is optimized for visibility in AI-powered search results. It scores your page across five dimensions and provides prioritized recommendations to improve your AI search presence.
## What it analyzes
The tool evaluates five dimensions of AI search readiness:
| Dimension | What it checks |
| ------------------- | ------------------------------------------------------------------ |
| **SEO Metadata** | Title tags, meta descriptions, Open Graph tags, canonical URLs |
| **Structured Data** | Schema.org markup (JSON-LD, Microdata), rich result eligibility |
| **Semantic HTML5** | Proper use of headings, sections, landmarks, and semantic elements |
| **Content Quality** | Readability, depth, authority signals, E-E-A-T indicators |
| **LLM Readiness** | How well the content can be parsed and understood by AI models |
## How to use it
Navigate to **AI Search Checker** in the Tools section of the sidebar. Enter the URL of any webpage you want to analyze.
Click **Analyze**. The tool will crawl the page and evaluate it across all five dimensions. This typically takes 10–30 seconds.
You'll see an overall AI Search Readiness Score (0–100) along with sub-scores for Technical, Content, and Schema dimensions, each with a brief rationale.
Below the scores, you'll find prioritized recommendations ranked by impact. Each recommendation explains what to fix and why it matters for AI visibility.
Not sure where to start? Try the example sites (Nike, Stripe, GitHub Docs, NY Times) to see how well-known sites score and understand what good looks like.
## Understanding the readiness score
The overall score reflects how well-prepared your page is for AI search visibility:
| Score | Rating | Meaning |
| ------ | ---------- | ------------------------------------------ |
| 80–100 | Excellent | Your page is well-optimized for AI search |
| 60–79 | Good | Solid foundation with room for improvement |
| 40–59 | Needs Work | Significant gaps that limit AI visibility |
| 0–39 | Poor | Major issues preventing AI discovery |
## The detailed analysis report
Below the score summary, you'll find a comprehensive analysis covering:
* **SEO metadata analysis** — evaluation of your title, description, and meta tags
* **Structured data review** — what Schema.org markup exists and what's missing
* **Semantic HTML5 evaluation** — how well your page uses semantic elements
* **Content quality assessment** — readability, depth, and authority signals
* **LLM readability evaluation** — how easily AI models can parse your content
## Schema optimization
The AI Search Checker includes a built-in schema analysis section that shows:
* Your current Schema.org implementation and quality score
* A summary of AI-recommended changes
* A highlighted diff view comparing your existing schema with the optimized version
* Ready-to-use JSON-LD that you can copy and paste into your page
For a deeper Schema.org analysis with more detailed optimization, use the dedicated [Schema Optimiser](/tools/schema-optimiser).
## Exporting results
You can export the full analysis in two formats:
* **Markdown** — copy the complete analysis report to share with your team
* **PDF** — download a formatted report for stakeholders
The optimized JSON-LD schema can be copied as raw JSON or as an HTML `