Profound is an enterprise platform that tracks large brands’ visibility in AI answers at market scale and extends into content production; Recro is an insight agency that simulates the handful of decision-makers who determine a B2B brand’s revenue. Profound answers “what does AI say about our brand overall?” with scale. Recro answers “why don’t the five people who make the buying decision put us on the shortlist?” with depth. For a consumer brand selling to thousands, the first is the right starting point; for a B2B brand with a long sales cycle, the second.
We’re Recro, so we’re a party to this comparison. Information about Profound comes from the company’s own announcements and funding coverage; sources are listed at the end. The product is evolving quickly; details are current as of October 2026.
What is Profound, and who is it built for?
Profound is the most heavily funded company in AI search visibility. It raised a $20 million Series A led by Kleiner Perkins in June 2025 and a $35 million Series B led by Sequoia in August 2025. In September 2026 it reached a $1.8 billion valuation with a $180 million Series D co-led by Sequoia and Kleiner Perkins. The company says it serves more than 1,000 enterprise brands.
Its 2025 announcements described three core products. Answer Engine Insights shows how chatbots describe a brand, its products and its industry. Agent Analytics reveals how AI bots crawl and interpret a website. Conversation Explorer surfaces rising topics and question volume in AI search. In 2026 the company is expanding into an agent layer, “AI Marketer”, that researches, writes content and reports on results.
That picture tells a clear positioning story: Profound is built for companies with large marketing teams, continuous content production and a need to show up across thousands of queries.
Scale or depth?
Conversation Explorer’s value comes from volume: what do people ask AI most? For a consumer brand, that’s the compass for the content calendar.
Volume works differently in B2B. An industrial water treatment firm’s annual revenue may depend on the environmental managers, procurement managers and finance leads of perhaps 40 factories. Their questions are too few to show up on a volume list. Each one, though, is a contract.
That’s Recro’s starting point: not the noise of the market, but everywhere a high-intent buyer looks. Persona attributes, decision stage and occasions are modelled together. A hotel chain switching suppliers before a new season and a factory looking for an urgent fix after an audit are different occasions, and they make people ask AI different questions.
Why can’t you trust a single answer?
Both approaches accept one fact: AI answers vary. In a January 2026 study by SparkToro and Gumshoe.ai, two answers to the same question contained the same list of brands less than once in 100 times.
Recro’s simulations showed the same: in the coffee supply category, 236 runs produced 50 different “dominant competitor” names. Profound manages this variance with large samples. Recro reads it by persona and occasion: which competitor is persistent in which person’s questions, and which appears by chance? For a sales team, the second distinction is the one that matters.
Comparison table
| Dimension | Profound | Recro Insight Model |
|---|---|---|
| Design goal | Market-scale brand visibility and content operations | Simulation of the people who make the B2B buying decision |
| Source of questions | Tracked prompts and topic volume in AI search | Decision questions derived from persona attributes and occasions |
| Additional layers | Bot crawl analytics, content-producing agent layer | Competitor source analysis, GAP classification, action list |
| Output | Enterprise dashboards and workflows | Specific, local findings; a dashboard that tracks progress after GAPs are found |
| Operating model | Enterprise software platform | Agency service: brand representative, regular meetings, infrastructure optimised for each brand |
| Best fit | Brands selling to broad audiences with large marketing teams | B2B brands with small buying groups and high contract values |
Why is content production the second step?
Profound’s move into an agent layer shows where the sector is heading: the tool that measures visibility also wants to produce the content. For speed, that’s appealing.
In B2B, the problem is often not too little content but content in the wrong place. None of Recro’s 73 reports found a price or ROI signal for the brand being researched. In many reports, the brand’s proof lived only on its own website, while what carried the competitor onto the shortlist was a sector directory, a careers-site profile or a press story. More blog posts don’t close that gap. First you need to know which gap, in which person’s question, in which source. We covered this in signals beyond your website.
Which one fits which situation?
For a company selling across hundreds of product categories, in multiple countries, to a broad audience, with a large marketing team that will manage AI visibility alongside content operations, Profound is a strong platform.
For a B2B brand whose buying group is a handful of people, whose sales cycle runs for months and which wants to know why each lost bid was lost, Recro is the sharper choice. With Recro you don’t buy a software licence; you get an agency service run by a representative who follows your brand, with regular meetings.
How does Recro make this gap visible?
The Recro Insight Model doesn’t simulate the broad market. It simulates the few critical decision-makers who drive the brand’s revenue, all year round, and shows where the brand loses in their decisions.
One simulation · 4 key pillars · 90+ steps
What sets Recro apart is four pillars built from scratch for each brand. Together they form a single simulation of 90+ steps, with each pillar producing the input for the next.
- Persona builder: Decision-maker profiles that represent the brand’s real buyers, specific to its sector and sales structure.
- Question builder: The brand-specific decision questions these people ask AI along their buying journey.
- Report builder: A report that reads the answers against the brand’s goals and competitors, together with the sources behind them.
- Action recommendation builder: A prioritized list of actions that closes the sector-specific signal gaps.
- The persona builder is a dedicated module grounded in an established buyer-insight model; it builds each role in the buying group separately.
- The question builder generates the questions that never appear on volume lists but decide the contract, from persona attributes and occasions.
- The report and action recommendation builders say which gap closes in which source, instead of “more content”: a Communication, Content or Authority GAP.
Results aren’t templates but specific findings for the brand’s sector and market. The infrastructure is optimised regularly for each brand; as GAPs close, progress is tracked in a dashboard and reviewed with the brand’s representative in regular meetings.
We asked the same question about other tools: Recro compared with Semrush AI Visibility Toolkit, Otterly.AI, Peec AI and Ahrefs Brand Radar.
Executive summary
- Profound is a well-funded enterprise platform built for market-scale visibility and content operations.
- Recro is an agency service that simulates the few decision-makers behind a B2B brand’s revenue, by persona and occasion.
- For brands selling to broad audiences, scale decides; for brands selling to small buying groups, depth does.
Frequently asked questions
What is the core difference between Profound and Recro?
Profound is an enterprise software platform; Recro is an insight agency. Profound tracks visibility at market scale; Recro simulates the people making the buying decision and explains why the decision was lost.
Isn’t Profound suitable for B2B brands?
It can be, especially for large B2B companies with big marketing teams. What matters is whether the brand’s question is about volume or about the behaviour of specific decision-makers.
Do you buy a software licence with Recro?
No. Recro works as an agency service. The brand gets a representative, results are reviewed together in meetings and progress is tracked in a dashboard.
Why should occasions be part of measurement?
The same persona asks different questions in different situations. An urgent need after an audit and a planned supplier change are different decision questions; if one isn’t measured, the brand’s visibility in that moment is unknown.
Can the two approaches be used together?
Yes. A large company can use Profound for broad visibility and Recro for the decision questions of key accounts. They answer different leadership questions.
What do the few decision-makers behind your revenue ask AI, and why does your competitor appear in the answer? Recro simulates it with personas and occasions specific to your brand.
Request a demo insight report →
Sources
- Profound · Profound raises $180M Series D at $1.8B valuation (2026)
- Built In NYC · AI marketing insights platform Profound raises $20M Series A (2025)
- Pulse 2.0 · Profound: $35 million Series B (2025)
- Search Engine Land · AI recommendation lists repeat less than 1% of the time (SparkToro, Gumshoe.ai)
This article was prepared with AI assistance and published under the review of Mehmet Semih İpek.
