Is Ahrefs Brand Radar worth it? For SEO teams already paying for Ahrefs, yes, as long as you buy the tier that matches your question. Brand Radar is the best way we have seen to answer “how often does AI mention us compared with competitors?” across a huge, search-derived prompt set. It is a weaker fit if you need to track a short list of your own prompts with tight control over sampling, and its pricing is confusing enough that teams overspend. On our six-part SIGNAL scorecard it earns 19 out of 30.
A note on method. This review is built from Ahrefs’ public product pages, documentation and pricing as reported in August and October 2026, plus third-party reviews. We did not run a paid account test for this piece, and we flag every place where a number comes from someone else.
What Brand Radar measures
Brand Radar answers one question at scale: when people ask AI systems about your category, how often does your brand show up, and how does that compare with everyone else? It reports mentions, citations of your pages, share of voice against competitors, and the topics where you appear or vanish.
The engines covered are Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, Microsoft Copilot and Grok. That covers the surfaces most buyers use. The notable gap is Claude, which several dedicated trackers include. Ahrefs has also started tracking YouTube, TikTok and Reddit as sources, which matters because AI answers lean on those platforms when they cite community opinion.
What Brand Radar does not do is change anything. It is a measurement product. Ahrefs positions optimization inside its other tools, so if Brand Radar shows a gap, a person on your team still has to decide what to publish, pitch or fix.
The prompt database behind it
The thing that sets Brand Radar apart is the size of its index. Ahrefs claims more than 477 million prompts a month, and it describes them as search-backed rather than synthetic. The reported breakdown leans heavily toward Google: roughly 311 million AI Overviews prompts, about 41 million AI Mode prompts, and around 31 million each for Perplexity, Gemini, ChatGPT and Copilot. Grok sits far behind at under a million.
That design is both the strength and the trade-off. A search-backed index means you are looking at what people actually ask, at a volume no hand-built prompt list can match. You can open Brand Radar, type a competitor, and see their AI footprint without setting anything up. That is useful for pitching clients, sizing markets and spotting topics you never thought to track.
The trade-off is control. Most dedicated AI trackers start from your prompts, written for your buyers, run on a schedule you choose. Brand Radar starts from Ahrefs’ prompts. If your buyers ask unusual, long, or industry-specific questions, those may be thin in a search-derived index. Custom prompts close part of that gap, but they sit on the most expensive tier.
There is also a quieter point. The Google surfaces dominate the index by volume. If your audience leans on ChatGPT for research, which is common in B2B software, make sure the ChatGPT slice is large enough for your category before you trust a share-of-voice chart.
What it costs, line by line
Pricing is where most buyers get lost, so here are the layers as a Ryze AI review reported them from Ahrefs’ pages in August 2026. Treat them as a starting point and confirm on the live pricing page.
The base Ahrefs plans include a small allowance of tracked AI prompts: 5 on Lite at $129 a month, 10 on Standard at $249, and 20 on Advanced at $449. Enterprise was listed at $1,499 a month on an annual commitment.
Brand Radar itself is an add-on. The main pricing page listed “Brand Radar AI” from $199 a month. The Brand Radar product page listed $398 a month for select platforms and $699 a month for all platforms, with the top tier adding custom prompts and 2,500 checks a month. Extra check packs were listed at $50 for 2,500, $100 for 7,000, and $250 for 25,000. Extra seats ran $40 to $80 per user per month depending on plan, and annual billing advertised savings of up to 17%.
Add it up for a realistic team. A three-person SEO team on Standard with the all-platforms Brand Radar tier and two extra seats would land at roughly $1,070 a month before any check packs, assuming the mid-range seat price of $60. That is real money for a measurement layer, and the reason to be precise about which tier you need.
Our rule of thumb: if you only want competitive benchmarking on Google surfaces, the lower tier is enough. If your buyers live in ChatGPT and Perplexity, or you need to track your own prompts, you need the all-platforms tier, and you should budget for it from day one rather than discovering it in month two.
Scoring Brand Radar on SIGNAL
We score AI visibility tools on a six-part scorecard we call SIGNAL, the same one we used in our Rankscale review. Each letter is a criterion scored from 1 to 5, for a maximum of 30.
S is Surface coverage. Seven engines plus community sources is strong, but the missing Claude coverage keeps it from a 5. Score: 4.
I is Integrity of sampling. The search-backed index is a genuine methodological advantage for breadth. What we could not find in public material is how often each prompt is re-run or how answer variance is handled, and custom prompts are gated behind the top tier. Score: 3.
G is Granularity of evidence. You can drill from share-of-voice charts into specific prompts, answers and cited URLs, which is what analysts need. Score: 4.
N is Next-step guidance. Brand Radar reports. It hands off to other Ahrefs tools for fixes, and the link between a visibility gap and a concrete action is left to you. Score: 3.
A is Accounting predictability. Three different starting prices across two pages, plus check packs and seat fees, make the bill hard to forecast. Score: 2.
L is Loop-out. Ahrefs has an API and solid exports across its suite, though client-ready AI visibility reporting is less developed than in some agency-focused trackers. Score: 3.
That totals 19 out of 30. For context, Rankscale scored 21 on the same scorecard. Brand Radar wins on breadth and loses on control and pricing clarity.
Where Brand Radar beats dedicated trackers
Brand Radar is at its best when you need an answer before you know the right questions. Type in a competitor and you can see their AI footprint across millions of prompts on day one. Dedicated trackers can’t do that, because they only know the prompts you gave them.
It also wins on context. If your team already uses Ahrefs for rankings and backlinks, seeing AI visibility next to those numbers saves a second login and a second set of reports. You can check whether the pages AI cites are the ones with the strongest links, or whether a competitor’s AI share is coming from Reddit threads rather than their own site.
For agencies, the instant competitor lookups are a sales tool. Showing a prospect where they disappear in AI answers, using real search-derived prompts, makes a stronger case than a hand-picked list of ten queries.
Where it falls short
The weaknesses mirror the strengths. If you care about twenty specific prompts that your buyers ask, a dedicated tool lets you track exactly those, on your schedule, often for less money. Brand Radar can do it, but only at the top tier.
The Claude gap matters for some categories. Developer tools, research-heavy B2B and some professional services see meaningful Claude usage, and you will need a second tool to cover it.
And because Brand Radar measures without prescribing, smaller teams can end up with beautiful charts and no plan. If you do not have someone who can turn “we are missing from 40% of comparison prompts” into a content and PR plan, the data will sit unused.
How Brand Radar compares with Semrush’s toolkit
The obvious rival is Semrush, which sells an AI Visibility Toolkit and has been part of Adobe since that acquisition closed in April 2026. Exploding Topics, which is owned by Semrush and says so, reviewed the toolkit at $99 a month as a standalone product, tracking ChatGPT, Perplexity, Gemini and Google’s AI surfaces, with visibility charts refreshed monthly.
The two products start from different places. Semrush leans on prompt research and brand perception reports, with sentiment and “share of voice versus sentiment” views. Ahrefs leans on index breadth and the connection to its link data. On price, Semrush’s entry point is lower. On raw prompt volume, Ahrefs is ahead by a wide margin. We cover the head-to-head in more depth in our Semrush vs Ahrefs for AI search comparison.
Run a 30-day test before you commit
If you are on the fence, run a structured month rather than a casual trial. In week one, write down the ten prompts your buyers ask most and check how many appear in Brand Radar’s index for your category. If fewer than half show up, you will need custom prompts, which tells you which tier to price.
In week two, pull share of voice for you and your three closest competitors, then spot-check twenty answers by hand in ChatGPT and Google AI Mode. If the tool’s picture roughly matches what you see, the sampling is good enough for your category.
In week three, pick one gap, such as a comparison topic where a competitor appears and you do not, and act on it with a content update or a PR push. In week four, check whether anything moved. Thirty days is short for AI visibility to shift, but the exercise tells you whether your team will act on the data, which is the real question behind any measurement purchase.
Who should buy it
Buy Brand Radar if you already pay for Ahrefs, you want competitive AI benchmarking at scale, and you have a strategist who can act on the findings. Start on the lower tier if Google surfaces are your priority, and upgrade only when you need custom prompts or ChatGPT depth.
Skip it, or pair it with a cheaper dedicated tracker, if you need tight control over a small prompt set, Claude coverage, or a predictable flat bill. The SEO teams we see get the most value use Brand Radar for discovery and a focused tracker for the prompts that drive revenue.