AI visibility tracker

Ahrefs Brand Radar + Ranqer: extend your SEO stack to AI

Brand Radar is Ahrefs' answer to AI search visibility, built on the same 300M+ prompt database they already use for keyword data. It tells SEO teams whether ChatGPT, Perplexity, and Google AI name their brands. Ranqer is the content engine that shapes what those engines get to read. The pair runs inside a workflow SEO teams already know.

What is Ahrefs Brand Radar?

Ahrefs Brand Radar is a standalone AI visibility product launched in 2025. It tracks how brands appear across ChatGPT, Perplexity, Gemini, Copilot, Grok, Google AI Overviews, and AI Mode, plus brand mentions on YouTube, TikTok, and Reddit (beta). The platform runs on real search-backed prompts — 300M+ monthly queries pulled from Ahrefs' existing user behaviour dataset rather than synthetic prompt generation.

Brand Radar is sold separately from the main Ahrefs plan ($398/mo for select platforms, $699/mo for all 6, plus optional custom prompt credits). That means Ahrefs subscribers don't get Brand Radar automatically — it's a distinct purchase — but the data it surfaces integrates with Ahrefs' Search Demand and Web Visibility reports to cross-reference AI citations with traditional SEO performance.

The strongest argument for Brand Radar isn't raw feature count. It's workflow continuity. If your team already lives in Ahrefs for backlinks, keyword research, and site audits, Brand Radar adds the AI search layer without asking you to switch tools or reconcile data from three separate platforms. For SEO teams adopting GEO, this is the shortest integration path available.

Who it's for

SEO teams and agencies already running Ahrefs. If you're spending $300-500/month on Ahrefs for keyword research and backlink analysis, Brand Radar is the natural next layer — same data model, same team, same workflow. For teams not already on Ahrefs, the combined cost ($527+/month) makes LLM Pulse or Otterly a more efficient starting point. Not a fit for Claude-first brands (not tracked) or teams needing live citation polling.

Key features

300M+ real search-backed prompts

Tracks AI visibility against actual queries users run, not synthetic prompts. Closest to a real-world citation sample at scale.

AI Share of Voice + competitor benchmarking

Cross-platform SoV comparison against up to 100 competitor brands. Works across all 6 tracked AI platforms.

Reddit + YouTube + TikTok monitoring

Beta/free add-on. Tracks brand mentions in video transcripts, descriptions, and Reddit threads — the same sources AI models cite heavily.

Branded search demand trend

Unique to Ahrefs — correlate your AI mentions with search volume for your brand name. Catches whether AI visibility actually drives branded search uplift.

Ahrefs Brand Radar pricing

Tier
Price
What you get
Select Platforms
$398/mo
Subset of AI platforms (e.g. ChatGPT + Perplexity). Ahrefs subscription recommended, not required.
All Platforms
$699/mo
All 6 AI platforms + Reddit/YouTube/TikTok beta. Full AI Share of Voice.
Custom Prompts Basic
+$50/mo
2,500 extra prompt checks on top of any plan
Custom Prompts Growth
+$100/mo
7,000 extra prompt checks
Custom Prompts Scale
+$250/mo
25,000 extra prompt checks

Brand Radar is sold separately from Ahrefs' main plans, but custom prompts and enhanced Search Demand unlock require an active Ahrefs subscription ($129-1,499/mo). Realistic all-in cost for a production setup: $527-948/mo. Known limitation: no Claude coverage, and snapshot methodology may underreport citations versus continuously-polling competitors like LLM Pulse.

The gap every tracker has

Brand Radar is excellent at telling SEO teams whether AI engines name them. It does not place them there. When Brand Radar flags a prompt where your competitor is cited and you're invisible, the fix is upstream — in the sources the models pull from. Reddit is the single largest of those sources, and Ahrefs' own Reddit-monitoring add-on confirms the trend, but tracking a gap doesn't close it.

46.7%

of Perplexity top-10
citations are Reddit

Profound, 680M citations

24%

of all Perplexity
citations are Reddit

Tinuiti Q1 2026

+73%

Reddit citation share
growth Oct 2025 → Jan 2026

Tinuiti Q1 2026

These numbers come from independent research — Profound's own 680-million-citation study and Tinuiti's Q1 2026 AI Citation Trends Report. The takeaway is the same regardless of which tracker you use: AI models lean heavily on Reddit.

How Ranqer fits in

Ranqer is the content engine that feeds what Ahrefs Brand Radar measures.

Brand Radar sits inside an SEO-literate workflow — teams that already understand backlinks, keyword clusters, and search demand. Ranqer fits that mental model cleanly: we do off-page content at scale in the places Brand Radar already tracks (Reddit, in particular). Ranqer drafts contextual comments in live threads where your buyers ask about your category, and posts from vetted human accounts. Those comments become exactly the citations Brand Radar's Reddit add-on flags, and Ahrefs' Search Demand module eventually shows in branded search uplift 3-6 months later.

See what Ranqer would post for you

The Ahrefs Brand Radar + Ranqer loop

01
Map AI gap with Brand RadarAhrefs Brand Radar

Brand Radar runs your prompt set across ChatGPT, Perplexity, Gemini, Copilot, Grok, and Google AI. Share of Voice report shows exactly which prompts your competitors win and you don't.

02
Cross-reference with Reddit monitoringAhrefs Brand Radar

Brand Radar's Reddit beta shows which threads already mention competitors. The threads that surface here are the same ones AI models pull from — your targeting list.

03
Place comments in those threads with RanqerRanqer

Ranqer finds the same live threads, drafts contextual replies in a real user voice, and posts from vetted accounts. Comments index within days and become retrievable by AI models.

04
Track lift across three layersBoth

Brand Radar re-measures AI citations. Ahrefs Search Demand shows branded search uplift. Ahrefs Rank Tracker catches the knock-on SEO effect. One Ahrefs login covers the whole loop.

Frequently asked questions

Do I need an Ahrefs subscription to use Brand Radar?
Technically no — Brand Radar is sold standalone. Practically yes — the real value comes from integrating with Ahrefs' Search Demand, Rank Tracker, and Site Explorer data. Brand Radar used in isolation is an $398-699/month citation tracker; combined with Ahrefs ($129-1,499/mo), it's a full GEO + SEO command centre.
Brand Radar covers Reddit already. Why add Ranqer?
Brand Radar's Reddit monitoring shows which threads cite you and which cite competitors. It does not post anything. Ranqer writes and places comments in those same threads, from vetted human accounts. One tool reports, the other executes. Running Brand Radar without a content engine means you'll measure the same gap every week and nothing will move.
Is Brand Radar worth $699 if I'm new to AI visibility tracking?
Probably not. For teams just starting with AI visibility, LLM Pulse (€99) or Otterly ($29) provide most of the core measurement at a fraction of the price. Brand Radar's differentiator is the depth of the Ahrefs data integration — if you're not already an Ahrefs customer, that integration isn't yet earning its cost. Start cheaper, upgrade when the channel proves out.
Brand Radar doesn't track Claude. Is that a problem?
Depends on your buyer. Claude has smaller share than ChatGPT and Perplexity but disproportionate usage in developer, technical, and creative segments. If your ICP skews technical, you'll miss a meaningful slice. LLM Pulse and Profound both include Claude. If Claude matters to your category, Brand Radar alone isn't enough — pair it with a cheap second tracker, or use LLM Pulse instead.
How does the Ranqer integration actually work in practice?
Ranqer publishes every comment with a timestamp and source URL. Teams typically log those URLs as custom events in GA4 and correlate with Brand Radar's weekly citation deltas 4-8 weeks later. The Ahrefs Rank Tracker catches the downstream effect on branded search about 2-3 months after. It's not automated attribution, but the lag pattern is consistent enough that experienced SEO teams can read the causation without ambiguity.

Related reading

Sources

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