AI website SEO health check engine

AI Website SEO Checker

Designed for AI generated website Built SEO health check tool. Analyze the SEO issues most commonly missed when building websites using AI such as ChatGPT, Claude, Gemini, DeepSeek, etc., and provide AI feature analysis、SEO score with Improvement suggestions。

Paste HTML

Please paste it containing <head> with <body> of the complete HTML for a complete analysis.

Frequently Asked Questions

AI Website SEO Checker is an SEO health check tool designed specifically for AI-generated websites. Different from general SEO tools, it specifically checks the SEO elements that are most commonly missed by large language models (LLM) such as ChatGPT, Claude, Gemini, and DeepSeek when building websites, including Canonical tags, structured data, Open Graph, Heading level, etc. It also provides AI feature analysis and specific improvement suggestions to help AI-generated websites achieve better search engine performance.

According to extensive testing, the SEO elements most commonly missed by AI-generated HTML include: (1) Canonical Tags — Almost all AI is not generated automatically; (2) Structured data (Schema.org) — Such as FAQ Schema, Breadcrumb Schema; (3) Open Graph / Twitter Card — Social sharing tags; (4) Image ALT attribute — AI-generated image tags often lack ALT; (5) Meta Description — sometimes too short or repetitive; (6) Robots Meta — Index control tag. Although these elements may seem basic, they have a significant impact on SEO.

To allow AI to generate better HTML, you can add specific requirements to the prompts (Prompt): (1) explicitly require "please generate a complete HTML page, including SEO optimization"; (2) specify "please add canonical, meta description, Open Graph tags"; (3) require "all images must contain ALT attributes"; (4) require "use structured data (JSON-LD) to mark FAQ and Breadcrumb"; (5) specify "please ensure Heading The level is correct (H1 → H2 → H3)”. The quality of HTML output by well-hinted AI will be significantly improved.

AI Readiness Score (AI Readiness Score) is a unique evaluation metric of this tool, which measures the friendliness of a website for AI-driven search engines (such as Google SGE, Bing Chat, Perplexity). Scoring takes into account the following factors: completeness of structured material (helping AI understand the content), presence of canonical tags (preventing AI from confusing the source of the content), semantic HTML structure (helping AI extract key points), and machine-readability of the content. The higher the score, the easier it is for your website to be correctly understood and rendered by AI search engines.

AI-generated websites are prone to large amounts of copying or similar pages due to the fast content generation speed, making the Canonical tag particularly important. Canonical tag (<link rel="canonical" />) tells search engines which URL is the original version to prevent SEO weight dispersion caused by content duplication. In addition, search engines such as Google increasingly rely on Canonical to determine the originality of content. AI-generated content already faces originality challenges, and the lack of Canonical makes the problem worse.

Structured data is particularly important for AI-driven search engines (e.g. Google SGE, Perplexity, Bing Chat). When generating answers, these AI search engines prioritize structured data to extract accurate factual information. For example, FAQ Schema allows AI to present your Q&A content directly to users, Breadcrumb Schema helps AI understand the hierarchical structure of the website, and Article Schema allows AI to more accurately identify the author, date, and topic of the article. AI-generated websites that lack structured data will have significantly reduced visibility in AI search engines.

AI website building feature analysis (AI Fingerprint) is based on pattern analysis of a large number of AI-generated HTML. This tool will check the following characteristics: the completeness of the HTML structure (AI usually produces HTML with a complete structure), the completeness of Meta tags (AI may miss Canonical), the use of structured data, the logic of the Heading level (AI is usually correct), the missing rate of image ALT (AI often misses), the completeness of social sharing tags, etc. These analyzes help you understand "how well this website matches common AI output characteristics" rather than determining whether the website is AI-generated.

AI SEO knowledge encyclopedia

Gain an in-depth understanding of the SEO best practices and technical connotations of AI website building

Complete analysis of common SEO issues in AI website building

With the popularity of large-scale language models such as ChatGPT, Claude, Gemini, and DeepSeek, more and more developers are using AI-assisted or entirely AI-generated websites. However, AI-generated HTML has common weaknesses when it comes to SEO:

Missing Canonical: AI almost never automatically generates Canonical tags, leading to the risk of content duplication
Not enough social sharing tags: Open Graph and Twitter Card are often ignored
Lack of structured data: FAQ, Breadcrumb, Article, etc. Schema will not be added automatically
Image ALT attribute missing: AI may produce <img> but does not contain ALT
Meta Description Unstable quality: Sometimes the generation is too short, too long, or duplicates other pages

The solution is to explicitly require SEO elements in the prompt word, or use this tool to perform post-mortem inspections and enhancements.

How to get AI to produce better HTML

The key to letting AI generate SEO-friendly HTML is to optimize prompt words (Prompt Engineering). Here is a sample SEO tip:

"Please create a complete HTML page in Traditional Chinese. Requirements:
1. Contain SEO optimized <head>, including title, meta description, canonical
2. Add Open Graph (og:title, og:description, og:image) and Twitter Card tags
3. Use the correct Heading hierarchy (H1 → H2 → H3)
4. Add FAQ Schema and Breadcrumb Schema using JSON-LD format
5. All <img> must contain the ALT attribute
6. Set viewport, charset, lang attributes
7. Add favicon link"

Through such prompt words, the quality of HTML generated by AI will be greatly improved, reducing subsequent manual correction work.

The importance of structured data for AI search engines

In the era of AI-driven search, the importance of structured data has never been greater:

Google SGE: AI-generated search summaries will give priority to content with structured data.
Perplexity / Bing Chat: These AI search engines parse the FAQ Schema to provide precise answers when answering questions
Rich Snippets: Even for traditional searches, structured data allows search results to display rich formats such as expanded Q&A, breadcrumb paths, etc.
AI training materials: Well-structured structured data may be incorporated into the training data of the AI model, indirectly increasing brand exposure.

It is recommended to implement Schema.org markup using the JSON-LD format, which is the format recommended by Google and all major search engines.

The deep impact of Heading structure on SEO

Heading tags (H1~H6) are the skeleton of web page content and have a profound impact on SEO:

AI understands content: AI search engines (such as Google SGE) extract the key points of the page through the Heading structure
An H1 principle: Each page should have only one H1 and should contain the main keyword
No step skipping: H1 → H2 → H3 in ascending order to prevent H1 from jumping directly to H3
AI generated FAQ: AI may generate multiple H1s or jump levels, which should be specially checked
Semanticization: Heading should describe the content theme rather than being used for decoration

AI-generated websites usually have a correct Heading hierarchy, but there may be multiple H1 problems, which can be quickly detected using this tool.

Image SEO and AI-generated content

AI-generated image content has unique SEO challenges:

ALT attribute: In AI-generated HTML, images often lack the ALT attribute. This is the most common omission.
File naming: The image links generated by AI may use random strings and should be changed to descriptive file names.
Lazy Loading: It is recommended to add on all pictures loading="lazy" Improve performance
Image size: The image tags generated by AI may lack width/height, causing the layout to jump (CLS problem)
Responsive images: Consider using srcset Available in multiple resolutions

It is recommended that "all images must contain ALT attributes and size settings" in the AI prompt word.

The role of Open Graph and Twitter Card in the AI era

Social sharing tags (Open Graph and Twitter Card) have new importance in the AI era:

AI chatbot quotes: When the AI chatbot shares your link, a preview card will be generated using the OG tag
Social platform preview: AI tools such as ChatGPT and Claude will also read OG information when embedding links.
OG:Importance of image: AI-generated websites often lack og:image, resulting in no image preview when sharing.
Twitter Card: Although Twitter also supports OG, the dedicated Twitter Card tag provides better display

AI-generated websites need to pay special attention to the integrity of the OG tag, because the lack of og:image will make the website unreliable when sharing.