Ahrefs Ships AI Discoverability Audit, Doubles API Limits

Ahrefs released five product updates in September, headlined by a new AI Discoverability issue category in Site Audit and a doubling of API and MCP unit limits on every plan. The company announced the changes in a post by Kamila Olexa, Product Marketing at Ahrefs, framing the batch around the shift from traditional ranking to visibility inside AI-generated answers.

What does AI Discoverability check?

The new Site Audit category tests whether AI crawlers — ChatGPT and Claude are named explicitly — can reach, read, and cite a site's pages. The logic is blunt: if those crawlers can't access the content, it won't appear in AI-generated answers regardless of quality. Olexa's post calls this "a brand-new AI Discoverability category in Site Audit" and positions it as the flagship of the month's release.

This is a toolmaker's move, not a search-engine announcement — Ahrefs is building diagnostics for a citation channel that Google, OpenAI and Anthropic have not given publishers standardized reporting for. The first batch of issues covers crawler access checks, with more promised.

Ahrefs says further features are coming soon to the category:

• An AI Discoverability Score widget
• A dedicated report
• Structured data recommendations
• Stale content detection
• Integrations with Bot Analytics, Web Analytics, and Brand Radar

What landed in Site Explorer and Keywords Explorer?

Site Explorer gained an Organic pages by type widget in the Overview report. It breaks down which page types drive a site's traffic — blog posts, tools, landing pages — rather than just counting how many pages exist. Run it on a competitor and you can see at a glance where their traffic actually comes from. Users can expand any top-level type for more depth and click through to those specific pages in the Top pages report.

Keywords Explorer got semantic filters, which match keywords by meaning instead of exact text. Ahrefs' own example: researching the running-shoe brand "On" with a normal search returns thousands of unrelated keywords containing the common word. Add "running shoes" as a semantic filter and results surface terms like "on cloud running shoes," where "On" is clearly the brand. The feature is aimed at cutting manual filtering and keeping keyword lists clean from the start — a practical fix for a long-standing annoyance in brand keyword research.

How did bot tracking and API access change?

Bot Analytics (Ahrefs' crawler-log analysis feature) now connects directly to Vercel, Amazon CloudFront, and Fastly. Previously, pulling log data from those platforms required extra setup. Users can now link accounts under Project settings, then Bot Analytics, and start seeing how search engines and AI crawlers move through a site — a workflow that matters more as AI crawler traffic grows and publishers decide which bots to allow.

The limit doubling applies to API and MCP (Model Context Protocol — a standard for feeding data into AI assistants) unit limits on every plan. Ahrefs says more users are pulling its data into AI assistants and automated workflows, and the old limits had become a bottleneck. Several new endpoints shipped alongside the increase; full details sit in the changelog.

What should SEO teams watch next?

The AI Discoverability roadmap is the signal to track. When the score widget, dedicated report, and Bot Analytics integrations land, Ahrefs will effectively offer an end-to-end view of whether AI crawlers visit, parse, and cite a domain — and publishers optimizing for AI answers will have their first standardized benchmark for it.