Ahrefs Brand Radar vs Semrush AI Visibility Toolkit vs Profound

Most teams reach this decision with an SEO suite already paid for. The Ahrefs or Semrush line item is approved, rank tracking is running, and someone in leadership has asked what the brand's position looks like inside AI answers. The incumbent vendor has a ready response: an AI-visibility module that switches on inside a tool the team already knows. The real purchase question is whether that module is sufficient, or whether a purpose-built tracker earns a second subscription. Stated as a buying decision, it is Ahrefs Brand Radar vs Profound for organizations standardized on Ahrefs, and Semrush AI Visibility Toolkit vs Profound for organizations standardized on Semrush.

The scope here is narrow by design: an incumbent AEO feature comparison of three products, not an assessment of the full SEO suites two of them live inside. Brand Radar and the Semrush AI Visibility Toolkit are measurement modules built beside mature keyword and backlink infrastructure. Profound was built for answer engines and sells nothing else. The difference shows up in engine coverage, in where the prompts come from, and in whether the product stops at a dashboard.

The three tools at a glance

The table settles most of the argument on breadth: Profound carries more engines, more measurement surfaces, and an action layer neither incumbent attempts. What it cannot show is what decides this for many buyers, whether the incumbent module costs anything beyond a subscription finance has already approved.

Ahrefs Brand Radar: AI visibility beside the backlink index

Brand Radar is Ahrefs' AI-visibility product, sold both as a standalone subscription with no Ahrefs base plan required and as an add-on to an existing one. It tracks brand presence across six surfaces: Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Microsoft Copilot. Claude, Meta AI, Grok, DeepSeek, and Amazon Rufus are absent from that list.

The reporting set is what a measurement buyer expects: share of voice against a named competitor set, brand mention counts over time, citation analysis identifying which domains and pages the engines pull into answers ranked by influence, and topic associations showing which subjects each brand is linked to. Branded search demand sits in the same dashboard. Mention monitoring for YouTube, TikTok, and Reddit is a paid add-on rather than an included feature.

The structural advantage is the prompt corpus. Brand Radar draws prompts from Google's People Also Ask questions and comparable search-derived signals, a database reported at roughly 405 million prompts, with some sources citing 199 million for the narrower core set. No other tool here publishes a figure at that scale, and the corpus is a genuine consequence of riding a mature search index rather than assembling a prompt library from scratch. The bound on that advantage is what the corpus contains: prompts that exist only inside a chat interface, including conversational follow-ups and persona-specific phrasing, are not captured unless they also appear in Google search data.

Reviewers flag three further limits. Brand Radar produces no sentiment scoring, so a team learns that mentions occurred without learning whether the framing was favorable. It offers no prescriptive recommendations. Refresh cadence is uneven, with AI Overviews updating close to daily while the ChatGPT, Perplexity, and Gemini indexes lag noticeably, and new engines arrive slowly. Commercially the product is performing: Ahrefs has publicly noted Brand Radar generating roughly $1 million in annual recurring revenue every two weeks, a signal about adoption rather than accuracy.

Semrush AI Visibility Toolkit: the cheapest incumbent entry point

A fair AI Visibility Toolkit comparison begins with what Semrush ships and at what price. The toolkit is a separate module inside the Semrush suite, purchasable as an add-on or standalone, at $99 per month per domain on annual billing, or $1,188 per year. Some Semrush pages reference a $45 per month promotional rate on annual billing, though the public list price remains $99. At that level it is the cheapest published entry point into AI-visibility tracking from a major SEO vendor.

Coverage is four engines: ChatGPT, Google AI spanning both AI Overviews and AI Mode, Gemini, and Perplexity. Claude, Copilot, Grok, Meta AI, DeepSeek, and Rufus are not tracked. Within those four the feature set is more complete than the price suggests. The toolkit reports AI visibility for any domain including share of voice, tracks mentions across supported engines, runs head-to-head competitor comparisons, and offers Prompt Research, a starter prompt set with custom additions that behaves much like a keyword-research workflow. It grades sentiment as positive, neutral, or negative, which Brand Radar does not attempt, and includes a Site Audit oriented to AI readiness covering crawler access, schema, and structure.

The constraints follow mostly from the price. Brand Performance covers one folder and one domain at $99 per month, so multi-brand portfolios either move to higher tiers or stack domains at $99 each, which suits agencies with several small clients and penalizes a single brand with many properties. Coverage and prompt generation are heavily English-first, with thin localization and limited locale segmentation relative to purpose-built tools. Like Brand Radar, the module is read-only. Some users have questioned whether the reported numbers match reality on low-volume prompts, a reason to validate against manual checks during an evaluation rather than a settled finding.

Profound: built for answer engines, priced accordingly

Profound is not a suite add-on. It was built for Answer Engine Optimization from the ground up, on the premise that AI search is a distinct channel with its own measurement and attribution mechanics, and it sells no traditional SEO tooling alongside. That focus produces both the breadth advantage and the reason it costs more once a team needs more than one engine.

Engine coverage runs up to ten answer engines depending on tier, spanning ChatGPT, Perplexity, Claude, the consumer Gemini app, Google AI Overviews, Google AI Mode, Microsoft Copilot, Grok, DeepSeek, Meta AI, and Amazon Rufus, with OpenAI Ads and shopping surfaces on supported plans. Answer Engine Insights is the core tracker, reporting mention rate, citation rate, share of voice, and trends per engine with per-prompt and per-page breakdowns and a competitor leaderboard. Prompt Volumes adds a demand signal, showing how often prompts in a category are asked inside the engines themselves.

Two modules have no counterpart in either incumbent. Agent Analytics ingests server and CDN logs to show how often ChatGPT, Perplexity, Claude, Gemini, and other agents crawl and fetch specific URLs, broken down by bot type. Shopping tracks ChatGPT Shopping and commerce-style answer surfaces, which matters for teams whose products need to appear in AI recommendations rather than prose answers. Beyond measurement, the Agents module runs content optimization, production, and refresh tasks, and Aim ranks the highest-impact work each week.

Profound's stated methodological differentiator is that it captures answers from the browser consumer experience rather than from APIs, running structured prompt flows against consumer surfaces to record what a user actually sees. That is the vendor's positioning claim and should be read as such, since no product here publishes an independent accuracy benchmark. Pricing is $99 per month for Starter, covering 50 prompts on ChatGPT only with 1,500 responses per month in one region and one language, and $399 per month for Growth, covering 100 prompts across ChatGPT, Perplexity, and Google AI Overviews with roughly 9,000 responses. Both are annual-billing tiers with no month-to-month option, and a 14-day free trial is offered. Enterprise pricing is custom and is where the remaining engines, multi-workspace support, SSO and SAML, SOC 2 compliance, and SLA-bound support arrive.

Engine coverage and where the prompts come from

On engine count alone, Ahrefs vs Semrush AI Visibility resolves cleanly in Ahrefs' favor: six surfaces against four, with Microsoft Copilot the notable addition. Against Profound, both incumbents fall short at the top end, since neither tracks Claude, Grok, DeepSeek, Meta AI, or Rufus at any price. For a brand whose buyers work primarily in ChatGPT and Google surfaces, that gap is theoretical. In a developer, research, or international segment where Claude or DeepSeek carries real usage, it is disqualifying.

Prompt sourcing is the less visible difference and arguably the more consequential one. Both incumbents derive prompts from search-side signals, principally Google's People Also Ask data in Ahrefs' case, while Profound sources from consumer surfaces and layers a demand signal on top. Search-derived prompts describe what people type into a search box, a large, well-instrumented population that overlaps substantially with early-stage AI queries. Consumer-surface prompts describe what people type into a chat window, including the conversational follow-ups and long, persona-shaped questions where high-intent buyer research tends to happen. A team whose tracked list is essentially a translated keyword list will find the incumbent method adequate; a team building its list around buyer conversations will find it lossy.

Volume runs the other way, since Brand Radar's roughly 405 million search-backed prompts are the largest disclosed corpus here and neither rival publishes a comparable number. Corpus size measures the breadth of the discovery layer, not the accuracy of the counts a team reads each week.

Cadence, sentiment, commerce, and crawler data

Refresh cadence determines how quickly a change becomes visible. Profound advertises daily refreshes across its tracked engines, Ahrefs runs close to daily on AI Overviews and noticeably slower on the ChatGPT, Perplexity, and Gemini indexes, and Semrush offers daily, weekly, or monthly reporting. For quarterly trend reporting the difference is immaterial. For a team that has just shipped a page and needs to know within a week whether anything moved, the lag on an incumbent's LLM indexes bites first, though less so when the surface watched is AI Overviews.

Sentiment separates the incumbents from each other: Semrush and Profound both grade AI responses as positive, neutral, or negative, and Brand Radar does not score sentiment at all. Both implementations are LLM-graded rather than human-verified, which makes sentiment a directional indicator rather than an audited metric.

Commerce and crawler analytics exist in exactly one product. Neither incumbent exposes shopping analytics, so a catalog brand cannot see how its products surface in ChatGPT Shopping, and neither exposes AI bot traffic. For a B2B brand with no catalog and no appetite for bot-level telemetry, these are features that will never be opened; for a commerce team, they are the reason the comparison exists.

What the total cost actually looks like

The pricing picture changes shape depending on what is already being paid. Brand Radar standalone runs $199 per month for a single AI index and $699 for all six, and layering it onto an Ahrefs subscription produces approximate monthly totals of $828 on Lite, $948 on Standard, and $1,148 on Advanced according to third-party reviews. Those are the honest numbers for an Ahrefs shop that wants full engine coverage.

On absolute cost, ahrefs vs semrush ai visibility is not a close contest. Semrush is the cheapest published option at $99 per month per domain on annual billing, and the arithmetic stays favorable for a single-brand team that needs four engines and nothing beyond a dashboard. The advantage erodes as domains multiply, since Brand Performance is capped at one folder and one domain.

Profound's Starter tier matches Semrush's headline $99 but delivers a narrower product: one engine, 50 prompts, 1,500 responses per month. Growth at $399 is where the platform becomes comparable in coverage, and it undercuts Brand Radar's $699 all-index tier while adding the action layer, sentiment, shopping, and agent analytics Brand Radar lacks. The remaining engines require Enterprise at custom pricing, which introduces a procurement conversation a self-serve module does not. Annual billing is mandatory on both self-serve tiers, so the commitment profile differs from a monthly add-on even where headline prices look similar.

The decisive figure is marginal cost. For a team already paying for Ahrefs or Semrush, the incumbent module is an incremental line rather than a new vendor, a new contract, a new security review, and a new interface to learn. That advantage appears in no comparison table, and it is nonetheless why many teams correctly choose the narrower product.

Integrations, compliance, and who has to approve the purchase

Both incumbent modules stay inside their parent suites. Brand Radar sits alongside Site Explorer, Keywords Explorer, Site Audit, and Content Gap; the Semrush toolkit sits beside Position Tracking, Keyword Magic, Site Audit, Content Template, and the SEO Writing Assistant. Neither publishes first-party connections to analytics platforms, CDNs, or content management systems outside its own dashboard. That containment is a genuine benefit for a team whose workflow already lives in one of those suites, since the data lands where the reports are already built.

Profound publishes a wide integration catalog across analytics and infrastructure, content management, business intelligence, and marketing systems, including GA4, Adobe Analytics, Cloudflare, Akamai, AWS, Google Cloud, Netlify, Vercel, WordPress, headless platforms such as Contentful and Sanity, plus Looker, DataForSEO, and G2. The list is worth verifying at purchase. The practical effect is that visibility data can reach analytics, engineering, and communications workflows rather than staying in one interface.

Compliance follows the same pattern. Profound holds SOC 2 Type II and offers SSO and SAML on Enterprise, which shortens a procurement review at organizations that require both. The incumbents inherit whatever posture their parent suite carries, which is usually adequate precisely because the suite has already cleared review, so an organization that has assessed Ahrefs or Semrush faces no second assessment for the add-on.

Which should you choose

Ahrefs Brand Radar fits an organization already standardized on Ahrefs whose priority is share of voice across the six engines it covers, particularly AI Overviews and ChatGPT. It carries the largest disclosed prompt corpus in this group and the wider of the two incumbent engine lists. Resolving ahrefs brand radar vs profound in Brand Radar's favor means accepting that it will not report sentiment, will not measure bot traffic or shopping surfaces, will lag on the LLM indexes, and will cost the most in absolute terms at full coverage.

The Semrush AI Visibility Toolkit fits a cost-sensitive team, and agencies with several single-domain clients, that needs a defensible baseline across ChatGPT, Google AI, Gemini, and Perplexity without opening a new vendor relationship. Per-domain pricing is what tips an ai visibility toolkit comparison toward Semrush even against tools with broader coverage. It is the wrong choice for global brands needing localization, for anyone requiring engines outside its four, and for teams that have outgrown a read-only dashboard.

Profound fits brands that need Claude, Grok, DeepSeek, Meta AI, or Rufus in the coverage list, whose buyers research inside chat interfaces where consumer-surface prompt sourcing matters, that sell products and need ChatGPT Shopping visibility, that want crawler-level telemetry, that require multi-language tracking, or whose procurement requires SOC 2 Type II and SSO. The cost is real: meaningful coverage begins at $399 per month on annual billing, the full engine list requires Enterprise, and the tool sits outside whatever SEO suite the team already runs.

The synthesis for a marketing lead is that a semrush ai visibility toolkit vs profound decision is usually about ambition rather than features. An incumbent add-on is the correct first purchase for a program that does not yet exist, because the realistic alternative to a narrow tracker is frequently no tracker. A dedicated platform earns its separate line once the prompt list, the engine mix, or the commerce surface has outgrown what an add-on measures.

Where measurement stops

Every product in this incumbent AEO feature comparison is an instrument. Two report and stop; the third adds an action layer. None removes the work that follows a visibility gap, which is producing the page that closes it, and that distance is where most AEO programs stall.

DeepSmith is built around that second half. It tracks mention rate, citation rate, share of voice, and sentiment across ten engines: ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, Google AI Mode, Grok, Meta AI, Microsoft Copilot, and DeepSeek, with coverage rising by tier from $99 per month and all ten on Enterprise. Its Opportunity Agents turn that data, and a Content Map of your site against unlimited competitors, into ideas that each carry the data point justifying them, and the same workspace writes the on-brand article that closes the gap. Teams weighing a tracker subscription against a track-and-produce platform can start a DeepSmith free trial and run their own prompts for seven days before deciding.