AI-powered search engines are changing the way people discover information online. Platforms such as ChatGPT, Google AI Overviews, and Perplexity now generate answers directly, often citing sources rather than sending users to traditional search results. As a result, website owners must optimize not only for traditional SEO but also for AI Search Health.
This guide explains how to evaluate and improve your AI Search Health using Semrush. It also demonstrates how to conduct a comprehensive AI SEO audit, provides practical AI prompts, and explains how businesses can improve visibility in generative search.
Key Highlights
- AI Search Health measures how optimized a website is for AI-powered search visibility.
- A high AI Search Health score means a site is easier for AI crawlers to access, understand, and cite in answers.
- AI search engines rely on technical readiness, structured content, and accessible HTML to process websites efficiently.
- The Semrush Site Audit tool includes a dedicated AI Search Health widget that evaluates crawlability, internal linking, and structured data signals.
- Businesses should combine SEO audits and AI visibility audits to ensure they appear in both search results and AI-generated answers.
- AI prompts can be used to automate SEO and GEO audits for evaluating domain-level AI search readiness.
What Is AI Search Health?
AI Search Health is a score that evaluates how well a website is optimized for AI-driven search engines. It measures whether a website’s structure, technical configuration, and content make it easy for AI systems to crawl, interpret, and cite.
In practical terms, a strong AI Search Health score indicates that a website is accessible to AI crawlers, structured for machine interpretation, technically optimized for AI indexing, and more likely to appear in AI-generated answers.
The score appears inside the Site Audit dashboard within the Semrush platform, where it evaluates factors such as crawlability, structured data, internal linking, and AI bot accessibility.
Why AI Search Health Matters for Modern SEO
The rise of generative search has dramatically changed user behavior. AI search experiences are often zero-click, meaning users receive answers directly without visiting a website. This shift means visibility depends not only on ranking but also on whether AI systems reference your content.
If your site cannot be crawled or understood by AI systems, your brand may never appear in AI-generated recommendations, even if you rank well in traditional search.
Why this matters
- AI platforms use their own crawlers and indexing systems.
- Technical errors can prevent AI bots from accessing content.
- Content must be structured for quick extraction and summarization.
- AI systems prioritize authoritative and well-organized information.
Traditional SEO audits often focus on Googlebot behavior. However, AI search bots may process websites differently, relying heavily on raw HTML rather than rendered JavaScript. This means sites that rely heavily on client-side rendering or slow-loading scripts may struggle to appear in AI answers.
How Semrush Measures AI Search Health
The Semrush Site Audit tool evaluates a website’s readiness for AI search by crawling the domain and analyzing key technical signals.
1. AI Bot Accessibility
AI crawlers must be able to access your website. If bots are blocked through robots.txt, your content may never appear in AI-generated answers.
2. Crawlability
Search engines and AI platforms must be able to crawl your website’s pages easily. Issues that reduce crawlability include broken internal links, orphan pages, and complex navigation structures.
3. Technical Readiness
Technical signals strongly influence whether AI systems can process a website. These signals include schema markup, structured navigation, crawlable HTML content, and llms.txt configuration.
4. Content Structure
AI search engines favor content that is structured clearly. This includes descriptive headings, semantic markup, and well-organized topic clusters.
5. Internal Linking
Strong internal linking improves contextual understanding and helps AI models identify relationships between pages.
AI Visibility Audits vs Traditional SEO Audits
Traditional SEO audits evaluate ranking factors such as keywords, backlinks, and page speed. AI visibility audits evaluate something different: whether your brand appears in AI-generated answers.
Questions an AI visibility audit answers
- Does my brand appear in AI-generated responses?
- Which pages are cited by AI assistants?
- Which topics do competitors dominate in AI search?
By combining both audits, businesses gain a more complete picture of their digital visibility.
Using AI Prompts to Conduct an SEO and GEO Audit
AI tools can assist SEO professionals by generating automated AI Search Health audits. The following question-based prompts can be used to analyze a website’s AI visibility.
AI Audit Prompts
How healthy is the AI search visibility of the domain [insert domain] according to a Semrush AI Search Health style SEO and GEO audit?
What technical SEO issues are preventing the website [insert domain] from performing well in AI-powered search results and generative engines?
How well is the domain [insert domain] optimized for generative search engines based on an AI Search Health audit similar to Semrush?
What improvements would increase the likelihood that content from [insert domain] is cited by AI assistants and generative search systems?
How strong is the topical authority of the website [insert domain] and how does it impact its AI search health score?
Which pages on [insert domain] are most likely to appear in AI-generated answers and which pages need optimization?
How does the AI search health of [insert domain] compare with its top competitors in the same industry?
What structured data, entity signals, or schema improvements could improve the AI search visibility of [insert domain]?
How does the content structure and semantic coverage of [insert domain] influence its performance in generative search engines?
What 90-day SEO and GEO strategy would significantly improve the AI Search Health score of [insert domain]?
Key Factors That Influence AI Search Health
Technical SEO Foundations
AI search platforms rely heavily on technical signals. Key optimization areas include Core Web Vitals performance, fast server response times, and clean HTML structure.
Content Authority and Structure
AI systems prioritize authoritative content. High-performing content typically includes clear headings, well-structured paragraphs, and factual, trustworthy information.
AI Bot Access
If AI crawlers cannot access your content, your website cannot appear in AI responses. Semrush audits identify blocked AI bots and recommend allowing them when appropriate.
Structured Data and Entities
Schema markup and semantic signals help AI models understand relationships between entities and topics. These signals improve contextual relevance and citation probability.
How to Improve Your AI Search Health Score
Step 1: Run a Site Audit
Start by crawling your website using the Semrush Site Audit tool. This identifies technical issues affecting both SEO and AI visibility.
Step 2: Review the AI Search Health Widget
Check the AI Search Health score and identify issues affecting crawlability, structured data, and AI bot access.
Step 3: Fix Technical Issues
Resolve errors such as blocked AI bots, missing schema markup, broken internal links, and slow loading pages.
Step 4: Optimize Content for AI Summaries
Content should be structured to allow AI systems to extract information easily. Best practices include concise answers, structured headings, and topic clusters.
Step 5: Monitor AI Visibility
Track whether your brand appears in AI-generated answers and how often competitors are cited.
Future of AI SEO and Search Visibility
AI-powered search is likely to continue expanding across platforms. As search evolves, businesses must optimize for AI citations, entity-based search, semantic relevance, and technical accessibility.
SEO strategies will increasingly focus on being recommended by AI systems rather than simply ranking on search engine results pages. AI Search Health audits provide a practical framework for preparing websites for this shift.
Frequently Asked Questions
What is AI Search Health?
AI Search Health is a score that measures how optimized a website is for AI-driven search visibility, evaluating factors such as crawlability, technical readiness, and structured content.
How do I check AI Search Health for my website?
You can check AI Search Health using the Semrush Site Audit tool, which crawls your domain and generates an AI readiness score along with recommendations.
Why is AI search optimization important?
AI search engines increasingly provide answers directly to users. If your site is not optimized for AI systems, your content may never appear in AI-generated recommendations.
What affects AI Search Health scores?
Common factors include AI crawler accessibility, structured data, internal linking, technical SEO performance, and content structure.
How often should I run an AI Search Health audit?
It is recommended to run audits regularly alongside traditional SEO audits to track both search rankings and AI visibility.
Can traditional SEO alone improve AI visibility?
Traditional SEO helps, but it is not enough on its own. AI search optimization also requires structured content, technical accessibility for AI bots, and clear semantic signals.
Final Thoughts
AI-driven search is reshaping digital marketing. Businesses that adapt early will gain a significant advantage in brand visibility.
By monitoring AI Search Health, running regular Semrush AI SEO audits, and optimizing content for generative search, websites can increase the chances of being cited in AI-generated answers.
The key takeaway is simple: In the age of AI search, visibility is no longer just about ranking. It is about being referenced.