Ahrefs Updates Site Audit And Site Explorer Tools
Ahrefs has introduced AI Discoverability and Page types features, aiming to improve website analysis and optimization. These updates enhance the platform's capabilities for users.
Original reporting · ahrefs.com
Original: “AI Discoverability, Page types, and more (September 2026)”
Read “AI Discoverability, Page types, and more (September 2026)” at Ahrefs Blog →
How this was written. Content Delta wrote this article with a language model from Ahrefs Blog’s reporting (model: @cf/meta/llama-3.3-70b-instruct-fp8-fast); it describes that reporting rather than adding to it. The original, linked above, is the full story.
Key points from Ahrefs Blog’s report
- Ahrefs has introduced a new AI Discoverability category in Site Audit to improve website analysis
- The Organic pages by type widget in Site Explorer provides detailed traffic breakdowns
- Semantic filters in Keywords Explorer match keywords by meaning for more efficient research
Ahrefs has released five updates this month, including a new AI Discoverability category in Site Audit, according to Ahrefs Blog. This feature checks whether AI crawlers can reach and read website pages, affecting their appearance in AI-generated answers. The category covers issues such as pages blocked from AI bots and inconsistent AI bot policies. Ahrefs Blog reported that more features are coming soon, including an AI Discoverability Score widget and structured data recommendations.
The new Organic pages by type widget in Site Explorer breaks down which page types drive traffic, allowing users to analyze competitors' websites more effectively. This widget provides a detailed overview of the types of pages that generate traffic, enabling users to refine their strategies. By expanding top-level types, users can delve deeper into specific page categories and click on a type to access the corresponding pages in the Top pages report.
Ahrefs has also introduced semantic filters in the Keywords Explorer, which match keywords by meaning instead of exact text. This feature helps users research brands with common words more efficiently, reducing manual filtering and keeping keyword lists cleaner. For instance, adding a semantic filter like 'running shoes' can yield more relevant results for the brand 'On'.
Additionally, Bot Analytics now connects directly to Vercel, Amazon CloudFront, and Fastly, streamlining log data integration. Users can link these platforms under Project settings and start analyzing how search engines and AI crawlers navigate their websites. The API and MCP unit limits have also been doubled on every plan, accommodating increased demand for Ahrefs data in AI assistants and automated workflows.
The updated API includes new endpoints, such as a public list of the top 1 million domains by Domain Rating, which is useful for prospecting and benchmarking. Another new endpoint, the Content Helper Topics API, scores how well a page covers core topics of top-ranking pages, enabling users to audit content coverage at scale. Further details on these updates can be found in the changelog.
These updates aim to enhance the overall user experience and provide more comprehensive insights for website optimization and analysis. By incorporating AI Discoverability and other features, Ahrefs is expanding its capabilities to meet the evolving needs of its users. The full changelog and feature requests can be accessed on the Ahrefs Canny board.
Questions and answers
What is AI Discoverability in Site Audit?
AI Discoverability checks whether AI crawlers can reach and read website pages, affecting their appearance in AI-generated answers.
How do semantic filters work in Keywords Explorer?
Semantic filters match keywords by meaning instead of exact text, reducing manual filtering and keeping keyword lists cleaner.
What are the new API endpoints?
The updated API includes endpoints such as a public list of top domains by Domain Rating and the Content Helper Topics API, which scores content coverage at scale.
