Ahrefs Brand Radar September 2025 Updates: What Entities, Topics, and Connect Mean

Ahrefs announced 18 product updates in September 2025, with Brand Radar receiving Entities, Topics, saved reports, exports, cited-source filters, and an initial API endpoint for AI responses. This guide to Ahrefs Brand Radar September 2025 updates explains the practical payoff: more consistent brand-name matching, clearer opportunity grouping, and a more disciplined way to find competitor gaps in AI-answer research.

The release is most useful when we treat it as a workflow update rather than a list of interface additions. A brand can be known by its full company name, a shortened name, or an old spelling; a flat report may fragment those appearances. Meanwhile, an agency can export data every month without answering the more useful question: which buyer questions repeatedly surface competitors instead of the client?

What changed in the September 2025 Ahrefs release

Ahrefs’ official September 2025 product update covered changes across Brand Radar, Web Analytics, Site Explorer, Keywords Explorer, Rank Tracker, Batch Analysis, and integrations. For AI-visibility analysis, the Brand Radar additions are the relevant group to understand first.

The September announcement listed these Brand Radar changes:

• Entities to group variations of brand and competitor names.
• Saved reports for a brand, competitors, and market, with sharing controls.
• A Topics report and overview widget based on parent topics in Keywords Explorer.
• A more flexible overview filter builder.
• Dedicated filters in Cited Domains and Cited Pages.
• Google Sheets export and CSV chart downloads.
• An initial Brand Radar API endpoint for AI responses.
• Brand Radar 2.0 mention charts in Report Builder.
• Brand Radar AI add-on access for Ahrefs Webmaster Tools users, subject to the limitations Ahrefs described for free users.

These features do not, by themselves, define a universal AI-visibility metric or guarantee that a higher count means stronger buyer preference. They improve the mechanics of organizing, filtering, exporting, and reviewing the available Brand Radar data. Teams still need fixed entity rules, a clear competitor set, and a documented interpretation process.

For context on the release immediately before this one, read our analysis of Ahrefs Brand Radar 2.0 and the August 2025 changes. The August and September releases are best understood as successive reporting and workflow improvements, not as interchangeable product announcements.

Entities in Ahrefs Brand Radar: cleaner brand and competitor matching

The most operationally useful item in the Ahrefs Brand Radar September 2025 updates is Entities. Ahrefs described Entities as a way to group variations of a brand name or competitor name so those variations can be measured together.

That solves a basic reporting problem. If one answer names “Northstar Analytics,” another names “Northstar,” and a third uses a common misspelling, separate-string reporting can understate how often the same company appears. An Entity gives the analyst a controlled grouping rule instead of relying on a single exact match.

Build entity rules before reading the trend line

The feature is valuable only when the terms in an entity genuinely refer to the same company. We would begin with the official company name, established abbreviations, and spelling variants that have been observed in relevant answers or market materials.

For example, an entity for “Northstar Analytics” might include “Northstar Analytics” and “Northstar” only after reviewing whether “Northstar” creates unrelated matches. A broad standalone word can refer to many businesses or non-commercial concepts. Including it without review may increase the apparent total while making the report less reliable.

A practical entity-review routine is:

1. Define the official brand name and every confirmed spelling variation.
2. Apply the same evidence standard to each competitor entity.
3. Review a sample of response context before accepting a new variant.
4. Document additions and removals with a date, such as “entity dictionary revised October 2025.”
5. Keep historic comparisons separate if a major entity definition changes.

This narrower approach reflects what the September announcement established: brand and competitor-name variation handling. It does not require assuming that Entities automatically group every product name, topic, or named subject associated with a company.

Topics turn a long query list into an analysis queue

Brand Radar’s new Topics report organizes queries using parent topics from Ahrefs Keywords Explorer. The concrete advantage is prioritization. Instead of working through a long, undifferentiated set of queries one at a time, a team can assess patterns around broader query groupings.

Imagine a cybersecurity company reviewing questions such as “endpoint security for remote teams,” “EDR tools for smaller companies,” and “how to prevent ransomware.” The precise topic assignment will depend on Ahrefs’ parent-topic system, but the report can give the team a faster way to identify groups worth investigating than a raw prompt list alone.

Use Topics to investigate, not to claim causation

A useful review starts with a small number of patterns. For example:

A Topic is an organizing layer, not proof that publishing a page will change an AI answer. AI-response variation, market changes, and the composition of the available query set can all affect results. We use topic-level reporting to decide where to look more closely, then use the individual query and response context to make decisions.

This is consistent with the approach in our AI Visibility Index 2026 guide: a single headline score is less actionable than a consistent breakdown by meaningful prompt or query groups.

Saved reports, filters, and exports reduce reporting drift

The September release also made repeated Brand Radar analysis easier to operationalize. Saved reports preserve a configured brand, competitor, and market view. For agencies managing multiple clients, that matters because a report can otherwise change subtly every month when someone adjusts a competitor list or filter setting manually.

Ahrefs also added a filter builder to the Brand Radar overview and dedicated filters for Cited Domains and Cited Pages. The September update distinguishes those cited-source filters from a general overview filter: they are intended for refining the cited-domain and cited-page reports themselves.

A repeatable monthly review

We would set up a monthly process around the same five outputs, rather than a changing collection of screenshots:

• Entity presence: where the client entity and competitor entities appear in the selected data.
• Query review: questions where competitors appear and the client does not.
• Topic patterns: groups that warrant deeper review.
• Cited-domain review: domains associated with the cited-source data available in the report.
• Cited-page review: specific pages that may help explain repeated source patterns.

Google Sheets export and CSV chart downloads help when stakeholders need a working dataset rather than a static chart. But an export is not a measurement policy. Before reporting movement, record the report configuration, date range, entities, competitors, filters, and any changes made since the previous period.

That record is especially important when comparing a September 2025 baseline against later periods. If the entity dictionary or market definition changed, a difference in totals may reflect configuration rather than a change in brand visibility.

What Brand Radar’s September release establishes about AI visibility

The September announcement establishes that Brand Radar received an API endpoint covering AI responses, reporting tools, name-variation grouping, query-topic organization, and cited-source filters. It supports a more structured approach to reviewing AI-visibility data than manually collecting isolated answers.

However, the release notes alone do not establish a complete methodology for recommendation scoring, citation scoring, or share-of-answer calculation. We should not present those as standard Brand Radar metrics unless Ahrefs documents the exact definition, report, and data coverage being used in a given account.

Our proposed prompt-level measurement model

For controlled AI-answer monitoring, we separate the platform’s reporting features from our own analytical definitions. A team may choose to calculate the following metrics from a fixed prompt set and recorded outputs:

1. Mention rate: the percentage of tracked answers that name the brand.
2. Competitor-gap count: the number of answers that name one or more defined competitors but not the brand.
3. Recommendation-context rate: the percentage of answers where a reviewer classifies the brand as a fit or suggested option, using pre-agreed rules.
4. Share of answer: a custom proportion of counted brand appearances among the defined competitor entities in a response set.

For instance, across 20 fixed buyer questions, a brand might be named in 8 answers while two competitors are named in 12 and 10. That creates a useful starting point for review, but it does not say whether every mention was favorable or whether each answer listed the brands in the same context. Human review rules must define how list placements, exclusions, and ambiguous references are handled.

Our local-first tracker is designed around that controlled-prompt workflow: we run the buyer questions a business chooses through supported AI engines using the customer’s own API key, then inspect brand appearances and competitors at the prompt level. That is a different measurement approach from an integrated discovery platform, not a claim about how Ahrefs calculates every metric.

Possible 404s: an investigation signal, not attribution proof

Outside Brand Radar, Ahrefs’ September 2025 update introduced a Web Analytics Possible 404 report. Ahrefs described it as identifying visited pages whose title includes “404” or “Not found,” and noted that AI chatbots can hallucinate URLs.

That is useful for AI-visibility work because visibility can create a poor experience when a user lands on a non-existent destination. Consider a hypothetical URL such as example.com/integrations/slack-ai when the valid page is example.com/integrations/slack. A visit to a branded 404 page deserves investigation regardless of the original source.

The report should not be treated as proof that any specific visit came from an AI system. The description identifies possible 404 pages based on their titles; it does not establish referrer-level attribution or validate the source of every request.

A sensible investigative process is to review the requested URL, check whether it resembles a valid page, inspect analytics and server evidence available to your own team, and decide whether a redirect or content change is justified. A 301 redirect may fit a closely related old or mistyped URL. Creating a new page should depend on real user and business need, not merely on one unusual path.

Ahrefs Connect: what the September announcement says

Ahrefs Connect launched in the September 2025 update as Ahrefs’ third-party integration program. Ahrefs described it in general terms as an open authorization system for third-party applications to connect to Ahrefs data through API v3.

For an SEO team, the practical implication is that integrations can become part of the broader reporting workflow. An external application may be able to request authorized Ahrefs data through the program, subject to what Ahrefs and the particular application support.

What remains implementation-specific

The September release does not provide a complete directory of every available connector, nor does it establish the precise permissions, usage controls, approval process, endpoint availability, or implementation requirements for every third-party application. Those details can change and should be verified in current Ahrefs documentation and in the vendor’s own integration materials before a team designs a workflow around them.

We would therefore ask three concrete questions before relying on Ahrefs Connect:

• Does the specific application we use offer an active Ahrefs Connect integration?
• Which API v3 data does that integration request and display?
• Can we document the authorization, account, and governance requirements for our client or organization?

For the later API evolution relevant to Brand Radar, see our review of what the January 2026 Ahrefs Brand Radar API update added. That later update should not be read back into what was announced in September 2025.

When to use Ahrefs and when to use a local-first tracker

Ahrefs is a sensible fit when the main need is integrated SEO research and reporting: query organization, topic context from Keywords Explorer, saved reporting views, exports, and cited-source analysis within an established platform. The September 2025 updates strengthened those operational capabilities.

A local-first desktop tracker is a different fit when a team needs to define its own small or medium-sized set of buyer questions, retain control of the working dataset locally where possible, and use its own API key for supported AI-engine queries. The central question becomes: what does a selected engine say about this exact commercial question at this collection date, and which competitors are named instead?

These approaches can be complementary. We can use broad research to identify themes, then create a governed prompt list for recurring monitoring. Our comparison of local-first AI visibility tracking and cloud AI search visibility tools explains the operational trade-offs in more detail.

A decision checklist for SEO teams and agencies

The right choice follows from the question we need answered. “Measure AI visibility” is too broad to select a product, set a baseline, or explain a monthly result to a client.

Choose an integrated SEO platform when you need:

• Query discovery connected to broader SEO research.
• Topic organization based on a platform’s keyword data.
• Saved reports and exports for several stakeholders or accounts.
• Cited-domain and cited-page filtering in the available product reports.
• A possible path to third-party data workflows through Ahrefs Connect.

Choose a local-first, prompt-level tracker when you need:

• Exact control over the questions included in measurement.
• A documented collection date and prompt version for each output.
• Customer-owned API keys for supported AI-engine requests.
• Direct review of competitor gaps in individual buyer answers.
• Custom measurement rules for mention context and share of answer.

In either setup, establish a baseline using a frozen entity dictionary, competitor list, language, market settings where relevant, and collection window. Changes to any of those inputs should be logged. That discipline makes a reported gain more defensible than a dashboard total alone.

FAQ

What new features did Ahrefs release in September 2025?

Ahrefs announced 18 updates in September 2025. Brand Radar additions included Entities, saved reports, Topics, an overview filter builder, Cited Domains and Cited Pages filters, Google Sheets export, CSV chart downloads, Report Builder mention charts, and an initial API endpoint for AI responses. The wider release also introduced Ahrefs Connect and Web Analytics Possible 404 reporting.

What are Entities and Topics in Ahrefs Brand Radar?

Entities group variations of a brand name or competitor name so related mentions can be measured together. Topics organize queries using parent topics from Ahrefs Keywords Explorer. In practice, Entities reduce fragmented name matching, while Topics help an analyst prioritize groups of queries for further review rather than working through every query as an isolated item.

What is Ahrefs Connect and which integrations does it support?

Ahrefs Connect was introduced in September 2025 as a third-party integration program using open authorization and Ahrefs API v3. The release announcement does not provide a complete, permanent list of supported applications or detailed implementation conditions. Before adopting it, verify that the specific third-party product has an active integration and confirm the data and permissions involved.

How does Brand Radar measure a brand’s visibility in AI answers?

The September 2025 release shows that Brand Radar supports AI-response data, entity grouping, query topics, cited-source filtering, saved reports, and exports. It does not define a universal recommendation rate, citation rate, or share-of-answer formula. We recommend documenting any custom calculation separately, including the exact prompt set, entity rules, competitors, collection dates, and reviewer criteria.

Can Brand Radar track visibility across AI Overviews, chatbots, YouTube, and Reddit?

Ahrefs’ broader Brand Radar marketing may describe coverage across multiple AI-search and content surfaces, but the September 2025 release notes do not establish the exact scope, markets, or indexes available for every account. Before committing to a KPI, verify the current Brand Radar interface and Ahrefs documentation for the specific surface, geography, report, and data coverage you need.