According to OpenAI's Head of Applications, their enterprise success is directly fueled by their consumer product's ubiquity. When employees already use and trust ChatGPT personally, it dramatically simplifies enterprise deployment, adoption, and training, creating a powerful consumer-led growth loop that traditional B2B companies lack.
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The need for emotional connection isn't limited to consumer products. All software is used by humans whose expectations are set by the best B2C experiences. Even enterprise products must honor user emotions to succeed, a concept termed 'Business to Human'.
Buyers now use AI to arrive with a full research dossier on your product, pricing, and competitors. This changes the GTM role from persuading customers with clever messaging to enabling their decision-making. The new focus is helping buyers quickly experience your product's value on their own terms.
Higgsfield initially saw high adoption for viral, consumer-facing AI features but pivoted. They realized foundation model players like OpenAI will dominate and subsidize these markets. The defensible startup strategy is to ignore consumer virality and solve specific, monetizable B2B workflow problems instead.
By publicizing its internal AI-powered tools for sales, finance, and support, OpenAI signaled its ambition to enter the enterprise application market, directly challenging SaaS incumbents and causing HubSpot's stock to fall.
For its first three years, Read AI closed enterprise deals without salespeople. When IT departments inquired due to massive bottom-up adoption, the company provided self-service admin tools and automated volume discounts, often avoiding sales calls entirely.
Pendo's CPO advocates for a blended approach in enterprise B2B. The product must enable self-service and stand on its own (PLG), but a skilled sales team is crucial for navigating complex procurement, building business cases, and establishing trust with large, regulated customers.
Counter to the "do one thing" mantra, Simple AI maintains a free consumer app. This product serves as a potent marketing engine where amazed users become evangelists and introduce the technology to their workplaces, creating a unique B2B acquisition channel.
For companies given a broad "AI mandate," the most tactical and immediate starting point is to create a private, internalized version of a large language model like ChatGPT. This provides a quick win by enabling employees to leverage generative AI for productivity without exposing sensitive intellectual property or code to public models.
Professionals use sophisticated consumer apps like Nest and Ring at home, creating a powerful psychological contrast with their clunky work software. Startups can win by delivering a consumer-grade experience, which makes the product feel modern and intuitively superior to legacy enterprise tools.
Enterprise buyers purchase tools like Slack because employees love using them, not based on clear ROI. This presents a major adoption hurdle for non-viral, single-player products like enterprise search, which must find creative ways to generate widespread user adoption and love.
