Profound, a two year old startup that helps brands track and improve how they show up in AI answers, raised a $180 million Series D on September 15 at a $1.8 billion valuation. That is barely seven months after its previous round, and the company says revenue increased 3x in the past six months. It already counts more than 1,000 enterprise brands as customers, including Walmart, Comcast, Estée Lauder, Figma, and MongoDB, and by its own count serves 16% of the Fortune 500.
That is not a small signal. Answer engine optimization, or AEO, the practice of getting your brand or content surfaced and cited inside ChatGPT, Perplexity, Google’s AI Overviews, and similar tools, has mostly lived as a buzzword for the last two years. A $1.8 billion valuation on a company built entirely around measuring and improving that visibility is the clearest evidence yet that real money now treats AI search visibility as its own category, separate from traditional SEO.
This article covers what actually happened with Profound’s raise, what the AEO category looks like beyond just one company, and then gets into the part that matters most if you are not a Fortune 500 brand with a six figure marketing tool budget: what the actual data says works to get cited by AI right now, including one popular tactic that a real controlled study found does almost nothing.
Key Takeaways
- Profound raised $180 million at a $1.8 billion valuation on September 15, just seven months after its last round, with revenue up 3x in six months and 1,000+ enterprise customers
- AEO is now a funded category, not just Profound: competitors including Scrunch, Peec AI, Bluefish, and Evertune have collectively raised tens of millions more
- A controlled Ahrefs study found that adding schema markup, the most commonly recommended AEO tactic, produced no meaningful citation increase on two of three major AI platforms tested, and a small decline on the third
- The strongest documented correlation with AI visibility is YouTube mentions, followed by Reddit and general branded web mentions, not backlinks or domain authority
- Reddit specifically shows up in a meaningful share of AI answers across platforms, and citation does not require a popular or highly upvoted post
What actually happened with Profound
Profound started two years ago as a straightforward analytics tool tracking how brands were mentioned across AI models. It has since expanded into a broader AI marketing platform, adding features like an agentic marketing assistant and an ads studio, on top of its original answer engine tracking product. The core original mechanism still matters most for this article: it runs large volumes of prompts against ChatGPT, Perplexity, Google’s AI Overviews and AI Mode, and Gemini, then reports back on how often and how favorably a brand gets mentioned, similar in spirit to rank tracking for Google search but built for AI answers instead.
The Series D was led by Sequoia Capital and Kleiner Perkins, with continued participation from Lightspeed Venture Partners and Khosla Ventures. Its previous round, a $96 million Series C in February 2026 that first pushed it past a $1 billion valuation, was led by Lightspeed. At that point the company had 700-plus enterprise customers and fewer than 120 employees. Seven months later, customer count passed 1,000 and revenue reportedly tripled.
Profound is not alone. Several other funded startups are building similar AI visibility and monitoring tools, including Scrunch, Peec AI, Bluefish, and Evertune, each having raised meaningful funding of their own, alongside larger players like Semrush and Adobe building AI visibility features into their existing SEO suites. Industry estimates for the size of the broader generative engine optimization market vary widely and come mostly from smaller research firms rather than establishment analysts like Gartner or Forrester, so treat any specific market size figure you see with some skepticism. What is clear without needing a precise market number: enough serious investors are betting real money on AI visibility tooling that the category is not going away.
The tactic everyone recommends that barely works
Here is where this gets genuinely useful instead of just being funding news. If you search for AEO advice right now, the single most common recommendation is to add structured data, specifically schema markup, to your website so AI systems can more easily parse and cite your content.
Ahrefs ran an actual controlled study on this rather than just a correlation check. They tracked 1,885 pages that added JSON-LD schema markup between August 2025 and March 2026 against roughly 4,000 matched pages that did not, using a difference in differences approach to isolate the effect of the schema itself. The result: citations in Google’s AI Overviews actually fell slightly, by 4.6%, while citations in Google’s AI Mode and ChatGPT moved up marginally, by 2.4% and 2.2% respectively, changes small enough that Ahrefs describes them as statistically indistinguishable from zero. Their direct conclusion: adding schema produced no major uplift in citations on any platform tested.
This does not mean schema is pointless for other reasons, and it is worth noting that a smaller, weaker study from 2025 found FAQ schema pages getting cited at roughly 2.7 times the rate of pages without it. But that study compared different pages with and without schema rather than tracking the same pages before and after adding it, which means it cannot separate the effect of schema itself from the fact that sites investing in schema tend to also invest more broadly in content quality. The controlled study is the stronger evidence, and it says the most commonly repeated AEO tactic is mostly a myth.
What the data says actually correlates with AI visibility
In a separate, much larger analysis covering roughly 75,000 brands, Ahrefs found that YouTube mentions had by far the strongest correlation with AI visibility of any factor tested, well ahead of branded web mentions, branded anchor text, backlinks, or domain authority, all of which showed weak to moderate correlations at best. Total content volume on a site barely mattered at all.
A related study looking at where Google’s AI Overviews actually pull their citations from found that YouTube and Reddit together account for more cited mentions than any other sources, ahead of Facebook, Google’s own properties, Instagram, Wikipedia, and Quora combined in several categories. In other words, the platforms doing the best at getting cited by AI right now are not brand websites optimized with the latest technical SEO tactics. They are social and community platforms where real people are discussing and comparing products and services.
Reddit deserves its own callout because the data here is specific and actionable. One large scale Semrush study covering more than 200,000 prompts found Reddit content appearing in a meaningful share of answers across ChatGPT search, Google’s AI Mode, and Perplexity, and importantly found that popularity within Reddit itself barely matters: the large majority of cited posts had fewer than 20 upvotes and fewer than 20 comments. Being cited by AI does not require going viral on Reddit. It requires showing up authentically in the kind of specific, comparison-style discussion thread that AI models tend to pull from, then getting indexed and picked up over time, since cited posts in that study averaged well over two years old.
What this actually means if you are not Walmart
None of the AEO tooling being funded at these valuations is built for a solo creator or small business, and you do not need it to apply what the data shows. A few things worth doing based on the evidence above, roughly in order of how strong the supporting data is:
Get discussed on YouTube, even if it is someone else’s video mentioning your product, service, or content, since this shows the strongest measured correlation with AI visibility of anything tested. Participate genuinely in Reddit threads in your niche where people are already asking comparison and recommendation questions, since Reddit content shows up disproportionately in AI answers and does not require a popular post to get cited, though building some account credibility first and avoiding obvious self-promotion matters. Focus on getting mentioned across a broad range of sites and forums rather than chasing backlink volume or domain authority score, since broad branded mentions correlated far more strongly with AI visibility than either of those traditional SEO metrics. Structure content in clear question and answer format where it makes sense, since it is cheap to do and plausibly helps a little, but treat it as a minor addition rather than a guaranteed unlock. And skip treating schema markup as a magic fix, since the best controlled evidence available says it is not doing much of anything.
There is a reasonable side hustle and monetization angle buried in all of this too. As more small businesses realize they need to think about AI visibility and cannot afford a $180 million funded enterprise tool, there is real room for consultants, freelancers, and even simple no-code dashboards built around monitoring brand mentions across ChatGPT, Perplexity, and Reddit for smaller clients who will never be Profound customers.
A dose of skepticism before you overinvest
It is worth being honest that the AEO industry right now runs ahead of its own evidence in places. Several critics have pointed out that most of the success metrics circulating in AEO case studies, things like citation rate, share of voice, or mention counts, are vanity metrics whose connection to actual revenue is not clearly established, and that the case studies making the rounds tend to come from agencies grading their own work without a real control group. One frequently cited (though not independently verified by this article) study on conversion behavior found that traffic arriving from ChatGPT converted at a lower rate than traffic from organic Google search, email, or affiliate marketing. None of that means AI visibility does not matter. It means the specific claims about return on investment in this space deserve the same skepticism you would apply to any fast growing, newly funded category before its metrics have had time to mature.
The bigger picture holds regardless: a real venture-backed market has formed around helping brands get found inside AI answers instead of traditional search results, and the best available data says the winning tactics look less like technical SEO checklists and more like genuinely showing up in the conversations happening on YouTube and Reddit. That is a more achievable target for an independent creator or small business than it might first sound.
Rich mode — activated. — Nini
If you want the next AEO or AI monetization breakdown the moment it happens, subscribing to the newsletter is the easiest way to catch it.
Leave a Reply