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Beseam

Ahrefs Brand Radar measures AI visibility at search scale. Beseam shows what to change when your product is missed.

Ahrefs Brand Radar extends competitive search intelligence into AI visibility, including AI share of voice, mentions, citations, and platform-level comparisons informed by Ahrefs' search-demand data. Beseam also watches AI discovery, then follows a missed shopping question into the product or page you can change. It prepares the change and asks the same question again afterward.

AI discovery & visibility · reviewed 22 August 2026

Beseam or Ahrefs Brand Radar?

  • Choose Ahrefs Brand Radar when

    Choose Ahrefs Brand Radar when AI visibility belongs inside a broader Ahrefs competitive-search process and search-volume-weighted share of voice is useful to the team.

  • Choose Beseam when

    Choose Beseam when you need more than a visibility score: see which shopping question you missed, what you can change on the store, make the change with approval, and ask again.

  • Use both when

    Keep Ahrefs Brand Radar for specialist AI-visibility monitoring. Use Beseam when a missed shopping question needs to become a store change and then be checked again.

What Beseam does not replace

Beseam is not a one-for-one replacement for Ahrefs Brand Radar's dedicated AI-visibility reporting, competitor benchmarking, or the specialist monitoring process teams already use there.

Choose the tool that fits the job.

Choose Ahrefs Brand Radar when

  • Your SEO team already works in Ahrefs and wants AI visibility beside broader search and competitor intelligence.
  • Search-volume-weighted AI share of voice is a useful way to prioritize the tracked market.
  • Mentions and citations across multiple AI platforms need to be explored as competitive data rather than an action queue.

Choose Beseam when

  • A missing recommendation or citation needs to be tied to the right product, page, source, or catalog fact before anyone changes content.
  • The team wants to see who was recommended and what product, store, shopper, or purchase data may help explain why.
  • The original shopping question, proposed change, approval, application, and check afterward need to stay together.

Compare how each tool works.

Primary job

Ahrefs Brand Radar

Measure AI share of voice, mentions, citations, and platform-level performance with search-demand context.

Beseam

Watch AI answers, tie a miss to the right product or page, make an approved change, and ask the same shopping question again.

Diagnosis

Ahrefs Brand Radar

Use competitive mention and citation data to understand which brands and sources dominate the tracked AI-search market.

Beseam

Keep the answer, sources, competing brands, product facts, and page checks with the same question.

Action model

Ahrefs Brand Radar

Brand Radar is primarily a measurement and competitive-research surface; teams carry the findings into their existing SEO and content processes.

Beseam

Turn a finding into a specific change that waits for brand-owner approval instead of ending as another recommendation.

What happens after the answer

Ahrefs Brand Radar

Specialist evidence about AI answers, mentions, citations, competitors, prompts, and sources.

Beseam

Connect the answer to product facts, the store, shopper behavior, checkout, orders, and the same question asked again.

Best relationship

Ahrefs Brand Radar

Specialist AI-discovery monitoring and analysis.

Beseam

Carries a missed shopping question into an approved store change and checks it again.

What happens after the signal appears?

1Observe the answer

Ahrefs Brand Radar

Track a prompt set and surface how often the brand appears, how it compares with rivals, and which sources are cited.

Beseam

Ask a real shopping question across the AI assistants you track and keep the answer, who was recommended, and the sources behind it.

2Understand the gap

Ahrefs Brand Radar

Use competitive mention and citation data to understand which brands and sources dominate the tracked AI-search market.

Beseam

Tie the lost recommendation to the right product, page, source, claim, or store issue before choosing what to change.

3Change what you control

Ahrefs Brand Radar

Brand Radar is primarily a measurement and competitive-research surface; teams carry the findings into their existing SEO and content processes.

Beseam

Keep the proposed change, affected product or page, owner, and brand-owner approval with the original answer.

4Ask again

Ahrefs Brand Radar

Continue monitoring the tracked prompt set and compare subsequent visibility metrics.

Beseam

Ask the same shopping question again and keep the before-and-after answers with the change that was made.

Beseam in practice

Real Beseam AI-discovery evidence. The question, answer, competing recommendation, supporting evidence, change, and check again stay connected instead of ending as a visibility score.

Real Beseam AI visibility workspace showing assistant answers and competitor evidence

Before you change the stack.

Does Beseam replace Ahrefs Brand Radar?

Not necessarily. Ahrefs Brand Radar is a specialist AI-visibility platform. Beseam also watches AI discovery, then connects a useful miss with the product, store, shopper, and outcome evidence needed to decide what to do next.

Can Ahrefs Brand Radar and Beseam be used together?

Yes. Ahrefs Brand Radar can remain a specialist monitoring source while Beseam connects the finding to the affected product or journey, the approved work, and the relevant result afterward. Exact integration availability depends on the setup.

When should I choose Ahrefs Brand Radar instead of Beseam?

Choose Ahrefs Brand Radar when AI visibility belongs inside a broader Ahrefs competitive-search process and search-volume-weighted share of voice is useful to the team. Choose Beseam when the bigger problem is carrying discovery evidence into product, store, shopper, and business decisions rather than stopping at the monitoring layer.

Keep the systems that work. Connect the evidence they leave apart.

In a 20-minute store review, we use one real finding to show how Beseam connects the tools already in place and keeps the loop moving from evidence to measured change.