Key takeaways
- Finseo is a European-built, self-serve AI visibility tracker that covers 10+ models (including regional ones like Naver, Kimi, and Sabiá) starting around €84/month, with attribution and bot traffic analytics bundled in.
- Profound is a US enterprise platform backed by $335M+ in funding, used by over 1,000 enterprise brands including a third of the Fortune 100, but its public pricing is now basically a free 7-day trial or a custom Enterprise quote.
- Profound's edge is in "beyond tracking" features: Prompt Volumes demand data from real conversations, sentiment with narrative attribution, and published ChatGPT Shopping research. Finseo's edge is transparent pricing and broader long-tail model coverage.
- Neither platform is designed primarily to do the fixing for you at scale. If you want a platform that also plans, writes, and publishes GEO content automatically, tools like Promptwatch are worth a look.
- Review volume matters here: Profound has 1,130+ G2 reviews at 4.5/5, Finseo has 3-4 total. Don't treat the star ratings as equivalent signals yet.
Why this comparison keeps coming up
I've seen a specific pattern in how people search for AI visibility tools. Someone wants to know if their brand shows up when a customer asks ChatGPT or Google AI Mode a question, they Google "AI visibility tracker," and they land on either Finseo or Profound within the first few clicks. Both rank for similar terms, both show dashboards full of percentages and trend lines, and from a screenshot they look almost identical.
They aren't, though. One is a lean, bootstrapped German tool built to be affordable and self-serve. The other is a New York startup that just raised $180M at a $1.8B valuation, seven months after its previous round. That difference in capital and ambition shows up everywhere, from the feature set to how you even get a price quote.
What Finseo actually is
Finseo GmbH is a bootstrapped, profitable company out of Gaildorf, Germany, founded in 2025 by David Mühlenweg and Maurice Marinelli. No venture capital, EU data residency in Frankfurt. That matters if GDPR compliance for your tracking data is a procurement requirement, which it increasingly is for European brands.
The product tracks ChatGPT, Gemini, Google AI Overviews, Google AI Mode, Claude, Perplexity, Microsoft Copilot, Grok, DeepSeek, and Mistral as its core set, and it goes further into regional engines than most competitors: Naver AI Briefing for Korea, Kimi and Z.ai for China, Maritaca Sabiá for Brazil, Upstage Solar, and a handful of others. If your brand sells into Asia or Latin America, this long tail of coverage is genuinely rare among AI visibility tools.
Pricing is published and self-serve:
| Finseo plan | Price | Prompts | Models | Notable extras |
|---|---|---|---|---|
| Starter | €84/mo (€70 yearly) | 50 | 3 of your choice | MCP access, 7-day trial |
| Business | €210/mo | 150 | 3 | Attribution, tasks, bot traffic analytics |
| Growth | €479/mo (€399 yearly) | 350 | 3 | API access, priority support |
| Enterprise | Custom | Unlimited | Up to 11 | SSO/SAML, managed service option |
Worth flagging: Finseo's pricing structure has changed at least twice in under a year, moving from a $19/$49 entry point to a Creator/Business/Enterprise split to the current Starter/Business/Growth labels. If you're evaluating it, check the live pricing page rather than trusting any screenshot more than a few weeks old.
Beyond pure tracking, Finseo bundles an AI content agent (credit-based, 500 credits per article), an attribution feature that claims to connect AI mentions to sessions, conversions, and revenue, a report builder for white-labeling, and query fan-out analysis. The attribution claim is interesting because most trackers stop at "you were mentioned," not "and here's what that mention was worth."
What Profound actually is
Profound is the opposite story financially. Series A led by Kleiner Perkins, Series B with Sequoia, a $96M Series C at a $1B valuation in early 2026, then a $180M Series D at $1.8B just seven months later, announced September 2026. That's roughly $335M raised total. Customers include Ramp, US Bank, Indeed, MongoDB, DocuSign, Target, and Walmart. Profound says it has crossed 1,000 enterprise brands and a third of the Fortune 100.
The product philosophy leans toward agentic workflows rather than a static dashboard. Profound's pillars are an "AI Marketer" assistant, reusable Agents for content briefs and competitor analysis, a Context Manager for brand knowledge, and Profound Sheets for running agents at scale, on top of its Answer Engine Insights tracking layer. It covers up to 9 answer engines on Enterprise: ChatGPT, Perplexity, Google AI Mode, Gemini, Microsoft Copilot, DeepSeek, Claude, Google AI Overviews, and Exa Search.
The pricing situation has gotten stranger. Earlier in 2026, Profound had a public Starter tier at $99/month and a Growth tier at $399/month, both reviewed widely by third-party sites. That structure appears to have been quietly replaced. The current public pricing page shows exactly two options: a 7-day free Trial (50 prompts, only 3 engines: ChatGPT, Gemini, Google AI Overviews, no API, no history) or Enterprise with custom pricing. In practice, almost every serious buyer now goes through a sales call to get a number.
One reviewer, Rankability, compared Profound's old $399/mo Growth tier (3 engines, 100 prompts) unfavorably against its own $199/mo unlimited-client plan on price-per-value grounds. Whether that criticism still applies under the new Trial/Enterprise structure is hard to say, since there's no public mid-tier to compare anymore.
The feature gap that actually matters: demand data and sentiment
Finseo tells you whether you're mentioned and by whom. Profound tries to tell you whether anyone was even asking the question in the first place. Its Prompt Volumes feature is built on a dataset the company has described as growing past 400 million conversations as of a September 2025 blog post, with later figures cited even higher. That's real consented conversation data, not reverse-engineered keyword volume, which is a meaningfully different data source than most competitors use.
Profound's sentiment feature goes a layer deeper too, showing not just whether AI portrays a brand positively or negatively but which narratives and sources are driving that sentiment score, with the option to feed the output directly into an Agent that generates content to counter a bad narrative. Profound has also published original research claiming its ChatGPT Shopping trigger classifier hits 95-96% accuracy on a 7,500-prompt sample, which is a specific, falsifiable claim rather than marketing fluff.
Finseo doesn't publish anything comparable on the demand or sentiment side. Its differentiation is elsewhere, mainly attribution and raw model breadth.
Side-by-side comparison
| Dimension | Finseo | Profound |
|---|---|---|
| Headquarters | Gaildorf, Germany (EU data residency) | New York, US |
| Funding | Bootstrapped, profitable | ~$335M raised, $1.8B valuation (Sep 2026) |
| Entry price | €84/mo self-serve | Free trial or custom Enterprise quote |
| Model coverage | Up to 11 concurrently, strong regional (Naver, Kimi, Sabiá, Qwen) | Up to 9, strong on core Western/Chinese engines |
| Demand data | Not published | Prompt Volumes from real conversation panels |
| Sentiment analysis | Not a named feature | Source and narrative-level sentiment tracking |
| Attribution | AI mentions to sessions/conversions/revenue | Agent Analytics for AI-sourced traffic |
| Content generation | Credit-based AI articles built in | Agents produce briefs, drafts, reports |
| Compliance | Not publicly documented | SOC 2 Type II, HIPAA, GDPR, CCPA |
| G2 reviews | 3-4 reviews, 5.0/5 (too small a sample) | 1,130+ reviews, 4.5/5 |
| Best fit | Mid-market European brands, agencies on a budget | Large enterprise with procurement requirements |
Where each tool fits
If you're a mid-sized European or German-speaking brand, an agency serving several smaller clients, or anyone who wants to see a real number on a pricing page before talking to sales, Finseo's self-serve model is the more practical starting point. Its customer list (Panasonic, Kellogg's, Lidl, Jägermeister, Würth) skews toward exactly that profile, and the regional model coverage is useful if any of your audience is in Korea, Brazil, or China.
If you're inside a large US enterprise that already has SOC 2 and HIPAA requirements baked into vendor selection, and you have budget for a custom contract, Profound's depth on sentiment and prompt demand data, plus its case studies (Ramp reportedly saw 7x AI visibility growth in 30 days, moving from 19th to 8th place in its category) make a stronger case, provided you're comfortable with sales-led pricing and no public number to anchor negotiations.
A style Factory video comparing Ahrefs and Profound framed the broader dynamic well: it's an all-in-one SEO-plus-AI tool against a specialist AI platform with deeper prompt demand estimation, sentiment, and shopping insight features. The same framing applies reasonably well to Finseo versus Profound, just with Finseo positioned closer to the budget, broad-coverage end and Profound at the high end of specialist depth and enterprise polish.
What both of them undersell: acting on the data
Here's my honest gripe with both products, and with most tools in this category. They're very good at telling you where you stand. Neither is built, out of the box, to close the loop from "you're invisible for this prompt" to "here's a published, optimized page that fixes it," automatically, on a schedule, without a human copying briefs into a CMS by hand.
Finseo's credit-based content agent gets partway there, and Profound's Agents can generate briefs and drafts. But Promptwatch was built specifically around this gap: it pairs the same kind of prompt tracking and citation analytics with Content Agents that plan, write, and publish GEO-optimized articles directly to Webflow, Framer, or WordPress, plus Unified Actions, a prioritized to-do list generated from your actual visibility, crawler, and citation data. It also logs AI crawler visits (ChatGPTBot, ClaudeBot, PerplexityBot, and 400+ others) so you can see not just whether you're cited but whether the bots are even reading your pages correctly, something neither Finseo nor Profound expose in the same way.
Promptwatch also tracks Reddit and YouTube citations separately, which matters given how fast citation patterns shift. Promptwatch's own data shows Reddit's share of ChatGPT citations collapsed from roughly 4% to 0.5% in a single day in mid-August 2026, which is the kind of shift that can quietly wreck a GEO strategy built around forum content if you're not watching daily.
Query fan-out behavior is another area where the ground keeps moving under every tracker's feet. Average fan-out queries per ChatGPT response dropped from 2.15 in December to roughly 1.0 per response by April 2026, and then ChatGPT started using the site: operator at scale overnight on August 8, 2026, jumping from 0.4% to 17% of fan-out queries. Any tool selling "query fan-out analysis," Finseo included, is really just approximating a moving target, and the vendor that updates its methodology fastest wins.
A quick note on sources, since AI visibility tools cite differently
If citation share is part of your evaluation criteria, it helps to know how much real estate is even available per answer. Perplexity cites almost exactly ten sources per answer consistently; Google AI Overviews averages around ten; ChatGPT sits closer to five; Microsoft Copilot swings wildly, sometimes under two sources and sometimes near seventeen within a matter of weeks, according to Promptwatch's average sources per response data. That volatility on Copilot specifically is worth asking any vendor about directly, since a tracker's "visibility score" means something different on a platform that cites two sources than one that cites seventeen.
If you want to shop around further
Both Finseo and Profound sit in a crowded field. If you want to browse a wider set of GEO and AI visibility platforms before committing, the directory at bestgeosoftware.com is a decent starting point, and surferstack.com covers the broader SEO tooling landscape if you're also evaluating traditional rank tracking alongside AI visibility.
Bottom line
Finseo and Profound aren't really competing for the same buyer most of the time. Finseo is the practical, transparent, self-serve choice for teams that want broad model coverage without a sales call. Profound is the deep-pocketed enterprise platform with genuinely differentiated demand and sentiment data, if you can stomach custom pricing and a sales process. Neither one is the obvious answer if what you actually want is a platform that turns visibility gaps into published content without you lifting a finger, which is the gap tools like Promptwatch are built to close.