BMW's marketing team has a new problem, and it doesn't involve Google.
When the German automaker wants to ensure its vehicles surface in ChatGPT's conversational answers—or Perplexity's sleek search results, or Google's increasingly AI-infused overviews—traditional search engine optimization doesn't quite cut it anymore. Enter Sitefire, a San Francisco startup so small its two founders likely share a desk, yet already pitching itself as the solution to what some see as marketing's next existential crisis.
The company emerged from Y Combinator's most recent batch with a pitch both simple and audacious: let us track how your brand appears across seven different AI search engines, then watch as we automatically generate the content needed to improve those mentions. Call it SEO for the ChatGPT era—or as the founders prefer, "GEO on autopilot."
Whether enterprises actually want that level of automation remains an open question. But Sitefire claims early traction with BMW, along with financial firms Xtrackers and DWS, though the startup hasn't offered third-party confirmation of those relationships.
The Pitch: Visibility in a Post-Google World
Founders Jochen Madler and Vincent Jeltsch are betting on a shift that's already underway but not yet settled. According to research Sitefire published on its own blog earlier this year, roughly 78% of Google Search sessions now include at least one AI Overview—those algorithmically generated summaries that sit atop results pages. Meanwhile, ChatGPT commands around 56% of all AI search activity, a figure that underscores just how quickly conversational interfaces are reshaping where people look for answers.
For marketers accustomed to keyword optimization and link building, the new landscape is disorienting. When an AI model synthesizes an answer from a dozen sources, which brands get mentioned? Which get cited? And crucially: why?
Sitefire's platform attempts to answer those questions through a two-layered approach. First, measurement. The tool tracks more than 180 markets across seven AI engines—ChatGPT, Gemini, Perplexity, and four others—analyzing which web pages get sourced, which earn citations, and where brand mentions materialize in generated responses.
For each AI answer, Sitefire reverse-engineers the process: mapping the underlying web queries, identifying which pages those queries surface, and pinpointing which pages the AI ultimately chose to cite. It's funnel analysis for an era when the funnel runs through a language model.
From Insights to... Content Creation?
The measurement side feels uncontroversial, perhaps even necessary. The execution layer is where things get murkier.
Once Sitefire identifies gaps—editorial sites, Reddit threads, niche forums where your brand should appear but doesn't—it doesn't stop at a dashboard. The platform "discovers the top-cited competitor pages for your topics, and creates your own brand-aware version," according to the company's homepage. Those AI-generated drafts get pushed directly into your content management system, ready for publication.
It's a provocative promise. Marketers get relief from an endless content treadmill. But trusting AI to craft brand messaging at scale, without heavy human oversight, is precisely the kind of shortcut that could backfire spectacularly in an already cluttered information ecosystem.
Madler, who studied deep reinforcement learning and optimization at Stanford, published a technical breakdown late last month explaining how AI search engines move from user prompt to final citation. The post references Microsoft's reciprocal rank fusion technique and draws on research from established SEO platforms like Ahrefs and SurferSEO—a signal that Sitefire wants to be taken seriously by practitioners, not just venture investors.
Who's Paying?
Sitefire offers three pricing tiers, all anchored by seven-day free trials. The entry-level Lite plan costs $250 monthly and tracks 100 prompts across three AI models while delivering three content briefings per month. The Pro tier doubles prompt tracking to 200 for $500, throws in a dozen briefings, and includes a personal onboarding call—table stakes for any enterprise software play.
Then there's Autopilot, the $1,000-per-month package positioned as "full-service visibility optimization." Subscribers get five AI-optimized blog posts monthly, CMS integration, an onboarding SEO audit, and a shared Slack channel with Madler and Jeltsch themselves. That last detail—a direct line to the founders—reflects both the intimacy of a two-person operation and the hustle required when courting Fortune 500 logos with a skeleton crew.
The company also released a free Sitemap Visualizer tool, which Madler frames as useful for mapping site architecture and spotting content gaps. It's part of their standard onboarding, though cynics might note it also serves as an effective lead generation funnel.
A Market Still Finding Its Shape
Sitefire isn't alone in this emerging space, though it may be the most aggressive in promising automation. Austria-based Otterly.AI garnered TechCrunch attention late last year for its monitoring capabilities. UK startup Azoma reportedly raised $4 million around the same time and lists Mars, Colgate, Procter & Gamble, and Zappos among its clients. Even Semrush, the incumbent SEO platform, rolled out an AI visibility toolkit last fall.
The academic community is circling too. A paper published mid-February introduced SAGEO Arena, an evaluation environment specifically designed for search-augmented generative engine optimization. The research makes clear what practitioners already suspect: classic SEO tactics don't translate neatly to AI visibility. Different stages require different strategies.
What sets Sitefire apart—at least rhetorically—is the automation wager. Where Otterly emphasizes dashboards and Azoma highlights simulation, Sitefire is betting marketers want content creation bundled in, not just analytics showing them where they're losing ground.
Structurally, the company operates through pulse Energy GmbH in Munich and pulse Holding Inc. in Delaware, corporate entities that suggest a transatlantic setup with roots in Germany. Jeltsch's background spans makerspaces and healthcare bureaucracy; Madler brings the Stanford AI credentials. Both are listed as managing directors.
The Bigger Question
Whether "GEO on autopilot" becomes a category standard or just clever positioning hinges on a more fundamental question: Do enterprises trust AI-generated content to represent their brands in an increasingly AI-mediated information landscape?
The tension is real. Marketers desperate for efficiency may embrace tools that promise to flood the zone with optimized content. But flooding the zone is precisely what got us here—an internet so saturated with SEO-gamed drivel that users fled to AI search in the first place.
Sitefire's early client roster suggests at least some blue-chip brands are willing to experiment. Whether that's a smart bet or the opening chapter in yet another arms race to game algorithmic systems—this time with higher stakes—remains to be seen.
For now, the founders are doing what all early-stage startups do: pitching hard, iterating fast, and hoping the market validates their thesis before the runway runs out. The difference this time? The market they're trying to crack—optimizing for AI-generated search results rather than traditional search engines—is still in its infancy, and the rules are still being written.
