Ahrefs Brand Radar vs Evertune: Key Differences in How AI Visibility Is Measured

Ahrefs Brand Radar and Evertune measure AI visibility in different ways. Brand Radar searches a large, search-derived prompt index that is refreshed monthly, and it suits teams that already work in Ahrefs. Evertune samples each prompt repeatedly and separates base-model answers from consumer-app answers, but it is sold by demo at $800 a month. DeepSmith is the alternative for teams that want to act on the numbers, because it tracks AI answers and produces and publishes the content on one self-serve plan from $99 a month.

Ahrefs Brand Radar vs Evertune is mostly a question about how the numbers get made. Both report mentions, citations and share of voice for your brand in AI answers, so the headline metrics look alike. What differs is how many answers sit behind each number, how often they are refreshed, and which version of each AI engine was asked. That decides how much weight a chart can carry in a planning meeting. This page walks through both methods, what each costs, and where DeepSmith fits for teams that also have to publish the content that moves the numbers.

Ahrefs Brand Radar vs Evertune: the short answer

• Choose DeepSmith if you want to track AI answers and produce and publish the content that closes the gaps, on a self-serve plan with a 7-day free trial and SOC 2 certification.
• Choose Ahrefs Brand Radar if you already use Ahrefs and want to research any brand or topic across a 448M+ prompt index without building a prompt list first, from $199 a month per index.
• Choose Evertune if you need each prompt sampled many times and base-model knowledge kept apart from consumer-app answers, and you are fine with a sales demo and $800 a month.

Comparison table

Pricing and features as of September 2026, from each vendor's site and public reviews.

Ahrefs Brand Radar

Ahrefs Brand Radar is the AI visibility module of the Ahrefs marketing platform. It is built for SEO and AEO teams, most of all existing Ahrefs users and established brands with real search demand, who want to look up mentions and citations for any brand or topic without writing a prompt list first.

The standout is the AI Visibility Index, which holds pre-collected answers for more than 448M prompts across six platforms: Google AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini and Copilot. Custom Prompts let you track your own questions daily, weekly or monthly and add Claude. Cited pages, fan-out queries, a 21-endpoint API and a Looker Studio connector round out the reporting side.

The real limits are about freshness and scope. Index question sets are re-tested monthly, so daily data needs Custom Prompts, which spend checks. Ahrefs itself says visibility is sampled and directional. The module is monitoring only, with no content briefs, writing or CMS publishing, and Ahrefs says it offers no free trials.

On reviews, the ratings we can cite belong to the Ahrefs suite, not to Brand Radar alone: 4.5/5 on G2 from 717 reviews, checked in September 2026. One Brand Radar reviewer on G2 praised citation-source discovery across languages and AI systems, and the same reviewer reported that retrospective index updates can change historical numbers. That is a single report, so treat it as something to test during a trial of the index rather than a known pattern.

Evertune

Evertune is a New York company founded in 2024 that sells an AI search marketing platform to mid-market and enterprise brands and the agencies that serve them. It measures how AI models mention and rank a brand against competitors, then connects the gaps to content, site fixes, affiliate placements and ChatGPT ads.

The standout is the method. Evertune asks each prompt 100 times per model and states a margin of error of about 1 point overall and 2 points at topic level. It also separates base-model answers, collected through provider APIs, from consumer-app answers. Its tracked prompts come from EverPanel, a consumer prompt panel the company describes as holding more than 150 million prompts.

The limits are about access and proof. Both plans route to a demo request, and no free plan or standard trial is listed. Consumer versions of Claude, Meta AI and DeepSeek are not tracked, only their base models, and Grok is not covered. No customer API, MCP server or CMS connector is documented. Evertune's own comparison page from January 2026 says SOC 2 Type II is in progress.

Independent review sentiment is thin. G2 showed zero Evertune reviews on September 30, 2026, so most of the proof is vendor-published case studies, which are useful context but not independent evidence.

DeepSmith: the alternative that tracks and publishes on one self-serve plan

Here is the gap both tools leave for a marketing lead who has to do something with the numbers. Brand Radar stops at monitoring, and Ahrefs sells its content tools separately. Evertune writes articles, 25 a month on Pro, but they leave as Markdown or HTML for you to copy into your CMS, and there is no self-serve trial or SOC 2 report to start from. Both are good at showing where you are invisible, and neither lists a way to go from that finding to a live page on a plan you can start today.

DeepSmith puts tracking and production in one platform. Its AEO module reports Mention Rate, Citation Rate, Share of Voice and Sentiment with a per-platform breakdown, a competitor leaderboard, the pages AI actually cites, and the full answer history for every tracked prompt. Opportunity Agents read that data and return content ideas with the data point that justifies each one. The Writer then turns a planned idea into a publish-ready article grounded in Deep IQ, your stored brand context, with internal and external links, a cover image and metadata. Autowrite can do that hands-off on a set date, and Produced Content publishes straight to WordPress, Webflow, Strapi, Sanity or Contentful, or to your own webhooks. The Apps Library then turns the article into LinkedIn, X, newsletter and other channel versions.

Developers get a read-only REST API and a read-only MCP server, and the platform is SOC 2, GDPR and ISO certified. DeepSmith reports defined metrics per prompt and per engine, rather than a vendor-stated margin of error, so you read direction over several weeks.

Pro is $99 a month and includes 20 articles a month, 50 tracked prompts and ChatGPT. Across DeepSmith's plans, Grow is $199 with 40 articles, 100 prompts and Perplexity added. Scale is $399 with 90 articles, 200 prompts and Gemini added, and Enterprise is custom with all ten engines. There is a 7-day free trial and no long-term contract.

Ahrefs Brand Radar vs Evertune methodology: how each collects data

Evertune is the stronger of the two on method for any single brand's numbers, and Ahrefs Brand Radar is the wider net.

Ahrefs starts from its keyword database. It takes real search queries, expands them into natural questions using People Also Ask and semantic fan-out, runs the 448M+ resulting prompts through each platform and stores the answers. The index is re-tested monthly on a 90-day reporting window. Ahrefs' methodology note says the prompt sample reflects its keyword sources, with an English-language skew, and that visibility estimates are not measured AI referral traffic. Its product pages do not say whether answers are collected through an API or a browser.

Evertune starts from its consumer panel and asks each prompt 100 times per model. That matters because the same question can return different answers from one run to the next, which is part of the day-to-day noise in AI answers. Many samples per prompt smooth that out, and Evertune's methodology page states the margin of error it gets. We could not find an independent test of that figure, so it stays a vendor claim, though the third-party research did not find it contradicted.

Neither method is a census of what people really ask. Ahrefs leans on search behavior, and Evertune leans on a panel whose size the company describes two ways, as more than 150 million prompts on most pages and as about 25 million users on others. If you are setting up a program around either tool, the guide to measuring AI visibility covers the metrics, audits and tracking habits that keep the numbers comparable. For a brand with real search demand, Ahrefs gives you broad coverage fast. For a decision where the exact number matters, such as reporting a change to leadership, Evertune's repeated sampling gives you more to stand on.

What DeepSmith does: it runs the prompts you define on a schedule you set in Settings and keeps the full answer history for each one. You judge change by comparing the same prompt set across weeks, which is the safer way to read any AI visibility tool, and the platform reports each prompt's mention and citation rates by engine.

Engine coverage

On live consumer answers this is close to a tie, and Evertune adds a layer Ahrefs does not.

Ahrefs covers six platforms in its index, and Claude only for Custom Prompts, where one update uses 8 checks. Grok was announced but data collection is paused, so Ahrefs does not count it as covered. Evertune lists 11 AI experiences. Six are consumer apps and search surfaces: ChatGPT Search, Gemini Search, Perplexity, Copilot, Google AI Overviews and AI Mode. The other five come from base models through APIs: ChatGPT, Gemini, Claude, Llama and DeepSeek. Consumer Claude, Meta AI and DeepSeek are not sampled, which makes the "11 models" line easy to misread. Answers from an API and a chat interface can differ, which is why the split is useful.

What DeepSmith does: it tracks ten engines by name: ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, Google AI Mode, Grok, Meta AI, Microsoft Copilot and DeepSeek. Pro tracks ChatGPT, Grow adds Perplexity, Scale adds Gemini, and Enterprise covers all ten.

Tracking depth and measures

Evertune measures more about how you appear in an answer, and Ahrefs measures more about where the answer came from.

Evertune reports a Visibility Score, an AI Brand Score that weights position, average position, share of answer, and sentiment through its Word Association analysis. It also tracks ChatGPT shopping results. Ahrefs reports mentions, citations, cited pages and domains, search-volume-weighted impressions and AI share of voice, and it is the only one of the two that lists query fan-out, shown for ChatGPT and Perplexity. On sentiment Ahrefs is partial, with a brand sentiment skill that sits in a separate product. For a refresher on what each metric tells you, the guide to AI visibility metrics covers where each one misleads. Position inside an answer is not described for Brand Radar.

What DeepSmith does: it reports Mention Rate, Citation Rate, Share of Voice, Sentiment and Visibility Trend, shows which of your pages AI cites and what share of your citations each earns, and lists which competitors win citations on which exact pages.

Pricing and value

Ahrefs has the lower and clearer entry price, and Evertune has the larger tracked-prompt allowance.

Brand Radar is priced per index. A single Brand Radar index costs $199 a month, or $699 for all indexes, which includes 2,500 custom checks. Custom prompt packages are $50, $100 and $250 a month for 2,500, 7,000 and 25,000 checks. The Ahrefs suite plans start at $129 for Lite, with 5 tracked prompts, and Enterprise is $1,499. Annual Brand Radar prices were not published.

Evertune sells through a demo request. Evertune lists Pro at $800 a month with 100,000 tracked prompts, 25 articles a month and three onboarding sessions. Enterprise is custom. The pricing page does not define what counts as one of the 100,000 prompts, and annual price, seats and overage rates are not published, so the sticker price is hard to turn into a cost per answer.

What DeepSmith does: it publishes four plans with the limits shown, from $99 a month, and includes the articles in the plan, so tracking and production are costed together. A free trial lets you see real data before you pay.

From insight to action

Evertune is clearly ahead of Ahrefs Brand Radar here, since Brand Radar has no content workflow of its own.

Evertune's Insights Agent prioritizes weekly actions, Content Studio builds briefs from visibility gaps and drafts full articles in your brand guidelines, and Site Audit ranks page fixes. Partner Connect maps cited sources to affiliate and programmatic partners, and a ChatGPT Ads Manager is in beta. What it does not list is a CMS connector or repurposing, so each article is exported and published by hand. Brand Radar surfaces the gaps through report filters, and gap analysis and alerts come through Letaido, a separate Ahrefs product. Writing sits in the separate Content Kit.

What DeepSmith does: the same data feeds the next article. Opportunity Agents turn a visibility gap into ideas with the evidence attached, and if you want to do that step by hand, here is how to turn visibility gaps into a content backlog. The Writer produces the article from your Deep IQ context, and Produced Content publishes it to your CMS.

Which should you choose

• DeepSmith: the team that has to track AI answers and also produce and publish the pages that change them, wants to start on a self-serve trial, and needs SOC 2 and a CMS connection without a sales cycle.
• Ahrefs Brand Radar: the SEO team already inside Ahrefs that wants fast research across a broad prompt index, search-demand context and API or Looker Studio reporting, and is content with monthly refreshes on the index.
• Evertune: the mid-market or enterprise brand, or its agency, that needs repeated sampling and a base-model view, also buys affiliate or programmatic media, and will go through a demo.

Teams weighing Ahrefs Brand Radar or Evertune often look at other trackers too. The Ahrefs Brand Radar alternatives roundup lists the main options. The Ahrefs Brand Radar vs Profound comparison covers the dedicated-tracker question. Peec AI vs Evertune looks at how repeated sampling changes the numbers. Any of them is a reasonable next step once you know which method matters to you.

Start a 7-day free trial of DeepSmith to see your AI visibility data and the first batch of ideas before you pay.