Reachroller vs Profound

Any fair comparison starts by conceding that Profound leads the category on depth. The company has raised approximately $155 million, capped by a $96 million Series C in early 2026 that valued it at $1 billion, with investors including Lightspeed Venture Partners, Sequoia Capital and Kleiner Perkins. Its customer list includes Target, Walmart, Figma, Ramp and MongoDB. Logos like those signal a product that survives enterprise procurement, security review and the scrutiny of large marketing organizations, which is a real bar to clear.

The platform earns that trust on breadth and ambition. Profound monitors nine answer surfaces, the widest coverage of any tool in the space, and layers conversation volume estimates, citation source analysis and agent analytics that show how AI crawlers hit your site. Two 2026 additions push it past the dashboard era: autonomous Agents that run analysis workflows on their own, and a hosted MCP server that pipes Profound data into tools a team already uses, such as Claude or Cursor. For an enterprise that wants AI visibility data flowing through existing workflows rather than sitting in one more tab, this is ahead of the field.

Profound also understands its buyer. Weekly prioritized workstreams translate raw tracking into a ranked to-do list for a content organization, which is exactly the artifact a VP needs to route work across a large team. If you have that team, the product design makes sense end to end.

The capital story reinforces the positioning. More than $300 million flowed into the AI visibility category between mid 2025 and spring 2026, and Profound absorbed roughly half of it. A $1 billion valuation implies a revenue plan measured in the hundreds of millions, which is why the product keeps accumulating features that justify five-figure contracts: agent analytics, autonomous workflows, enterprise integrations. None of that is criticism. It is a description of who the product is for, and the honest starting point for deciding whether that buyer is you.

The first obstacle is access. Profound publishes no pricing and sells through demos. Third-party reviews consistently report an entry tier near $499 per month and enterprise deployments between $2,000 and $5,000 or more. You cannot try it on your own brand before a sales conversation, and you cannot budget for it from the website. For a founder deciding whether AI visibility deserves any budget at all, a procurement-shaped buying motion is a poor fit for a first experiment.

The second obstacle is what happens after the report. Profound's output is intelligence: recommendations, workstreams, agent analytics. Turning that intelligence into changed AI answers means writing an answer-shaped page for each lost buying question, structuring it for extraction, adding schema, getting it indexed and then re-asking the question. Profound assumes a content team will do that work. A five-person SMB breaks the assumption, and the subscription becomes a scoreboard for a game nobody has time to play.

The third obstacle is proportionality. Most of what a small team actually uses in Profound, which questions mention the brand, which competitors are cited instead, which sources drive the answers, is available from self-serve tools at a tenth of the reported price. The nine-surface coverage and the Agents are impressive, and they are solutions to enterprise problems. Paying enterprise prices for capabilities you will never operate is how tool budgets die.

There is also a structural pressure worth naming. Venture funding at Profound's scale comes with growth expectations that get expressed as pricing, so its center of gravity will stay enterprise and the self-serve buyer will remain an afterthought. Expect the entry point to drift upward rather than down. If you are hoping Profound eventually meets your budget, the incentives run in the opposite direction, and the tools built for your segment already exist.

AI answers are probabilistic, which makes scoring methodology the most consequential and least examined part of any visibility tool. SparkToro measured under a 1 percent chance that two identical ChatGPT runs return the same list of brands. A tool that shows you a single number without showing its work is asking for trust it has not established. This is where the two products diverge most sharply.

Reachroller's scoring is deliberately narrow and fully public. A mention counts only when your brand name literally appears in the stored answer text. Every score links to the raw answers behind it, so any number on the dashboard can be audited down to the sentence an engine actually wrote. Questions that contain your own brand name are excluded from the headline score, because an answer to a question about you mentions you by construction. The whole approach is documented on the public methodology page, so you can decide whether you agree with the rules before you pay.

Profound's scoring is proprietary. The dashboards are polished and the sample sizes are large, and the method behind the headline numbers is not published in comparable detail. That is a defensible choice for an enterprise vendor whose buyers evaluate through pilots and references. It is a weaker position for a self-serve buyer who has to take the number at face value. When a score decides where your content effort goes, insist on seeing the answers behind it.

Auditability also changes what you can do with the number downstream. A founder reporting to a co-founder, or an agency reporting to a client, will eventually be asked why the score moved. With stored answers, the explanation is a link: here is the question, here is what ChatGPT wrote in March, here is what it wrote in June after the fix page shipped. With a proprietary score, the explanation is a shrug toward the vendor. The first kind of answer builds trust in the work; the second spends it.

Translate both products into a year of spend. At the reported $499 entry, Profound costs about $5,988 over 12 months, and a mid-range enterprise deployment at $3,000 per month costs $36,000. Those figures buy tracking and recommendations. The content work that changes answers is a separate line item: your team's hours or an agency retainer, multiplied by every gap the reports find.

Reachroller Starter costs $348 over the same 12 months for 400 credits and 25 tracked questions per month, where one credit buys one stored AI answer and a generated fix page costs ten credits. That budget covers continuous tracking plus roughly forty citation-ready fix pages a year, each shipping with URL slug, title tag, meta description, schema markup and indexing steps, and each followed by a recheck that shows whether the answer flipped. Growth at $99 per month, $1,188 per year, adds API access and 75 questions. Agency at $249 per month, $2,988 per year, covers 200 questions, ten workspaces and white-label reports.

Unlimited competitor tracking on every Reachroller plan removes one more line from the math. Visibility questions are competitive by nature, since every answer that skips you names somebody else, and tools that meter competitor slots turn each new rival into a pricing conversation. On Reachroller the watch list grows for free, from the $29 Starter up.

Put plainly: a full year of Reachroller's top plan costs half of Profound's reported entry year, and Reachroller Starter costs about 6 percent of it. The honest caveat runs the other way on coverage. Profound tracks nine surfaces today; Reachroller tracks ChatGPT live today through the official API, with Claude, Gemini, Perplexity and Grok adapters built and rolling out. If nine-surface coverage this quarter is a hard requirement, that difference is real. If changed answers per dollar is the metric, the math is lopsided.

You do not have to take this page's word for anything, because the evaluation is cheap to run. Write down 15 to 25 buying questions for your category, phrased the way a real buyer would ask an assistant, with your brand name appearing in none of them. Unbranded phrasing matters: a question containing your name gets you mentioned by construction and tells you nothing about discoverability. These questions become the test set you load into any tool you evaluate.

Then compare the two buying motions directly. Reachroller gives you a three-day trial with 50 credits and every feature, with signup taking minutes and requiring no card, which is enough to run a full first report and generate one fix page on your own domain. Profound requires booking a demo and working through a sales conversation before you see your own brand's data, which is itself useful information about fit. If the demo process feels heavier than your whole content operation, the product probably is too.

Judge the results on four questions. Can you read the raw answer behind every score? Does the tool report rates over repeated runs rather than single-check snapshots? What does acting on a lost question require, your team's hours or ten credits? And what will the price be at your real question count in month twelve? For an enterprise team, Profound can win several of those questions. For a self-serve buyer, the fourth one usually ends the conversation before it starts.

If you are an enterprise marketing or communications team with a dedicated content organization, a five-figure monthly tool budget and a mandate to report AI visibility to executives, Profound works, and here is what you give up by choosing it. You give up self-serve speed: expect a sales process, a contract and onboarding before your first report, where a self-serve tool shows your brand's numbers this afternoon. You give up price flexibility: the reported floor is roughly seventeen times Reachroller's entry, before enterprise tiers. And you give up the closed loop: Profound will tell your team what to write, and your team will still write it.

One more factor belongs in the decision: data continuity. AI visibility scores only become meaningful as history accumulates, which creates gentle lock-in with whichever tool you start on. That argues for starting on a tool whose price you can sustain for a full year, and for preferring tools that store raw answers over tools that store only scores, since raw answers remain interpretable even if you later switch platforms. A $29 subscription you keep for twelve months builds a better baseline than a $499 pilot you cancel in month three.

For everyone else, founders, SMBs and agencies buying with a credit card, the recommendation is Reachroller. It is the pick on price at $29 against a reported $499. It is the pick on honesty, because the methodology is public, the scoring rule is literal brand presence in stored answers, and every number can be audited. And it is the pick on outcome, because tracking plus generated fix pages plus rechecks is a loop that changes answers, where a report alone changes nothing. Start with the three-day trial, run your 25 buying questions, and judge the loop on your own brand before spending anything.