The Prompting Company’s first 500,000 pages are already live. They are not for humans, at least not directly. They are for the machines that are starting to decide what humans see. The San Francisco startup, founded in 2025, is building what it calls generative-engine optimization (GEO), a new layer of infrastructure for a world where AI assistants do the browsing. Its bet is that brand visibility has moved upstream from the search engine results page to the sentence in a chatbot’s reply [TechCrunch, October 2025].
For $2,500 a month, the company will create and host 100 AI-optimized articles designed to be found, cited, and used by AI agents [promptingcompany.com/pricing]. The goal is not just a link, but a recommendation. The platform helps customers track how AI assistants talk about their products and turns those insights into content that agents can find, choose, and ultimately use to complete tasks [promptingcompany.com]. It is a bet on a future where being discoverable by code is as critical as being readable by people.
The wedge into a shifting search landscape
The company’s wedge is AI-discovery optimization. Its tools are built for a market where natural language queries are becoming common and conversational interfaces encourage follow-up questions within a single interaction. In this environment, AI assistants are evolving from simple answer engines into recommendation systems, suggesting products and services based on context. The Prompting Company positions itself as the way to teach these systems about a brand in a format they can understand.
Its initial traction suggests a market is forming. By October 2025, the company reported it had created approximately 500,000 pages for customers, generating tens of millions of visits per month [TechCrunch, October 2025]. Named customers include Rippling, Rho, and Vapi [TechCrunch, October 2025]. The company also claims to serve a Fortune 10 company, though the name is not public [PERPLEXITY SONAR PRO BRIEF].
A team built for repeat execution
The founding team is a key part of the narrative for investors. Co-founders Kevin Chandra (CEO), Michelle Marcelline (COO), and Albert Purnama (CTO) are described as repeat YC founders and longtime collaborators [PERPLEXITY SONAR PRO BRIEF]. Their prior venture, the no-code website builder Typedream, was also Y Combinator-backed. This track record of building and shipping together likely contributed to the speed of their fundraising.
| Founder | Role | Prior Venture |
|---|---|---|
| Kevin Chandra | Co-founder & CEO | Co-founded Typedream & Cotter (YC-backed) [PERPLEXITY SONAR PRO BRIEF] |
| Michelle Marcelline | Co-founder & COO | Co-founded Typedream & Cotter (YC-backed) [PERPLEXITY SONAR PRO BRIEF] |
| Albert Purnama | Co-founder & CTO | Co-founded Typedream & Cotter (YC-backed) [PERPLEXITY SONAR PRO BRIEF] |
Post-funding, the team is scaling. A job listing from late 2025 noted the company had 7 people in San Francisco with real customers [PERPLEXITY SONAR PRO BRIEF]. A separate source from 2026 lists 17 employees [gritt.io, retrieved 2026]. Open roles point to a focus on building foundational operations and go-to-market functions [PERPLEXITY SONAR PRO BRIEF].
The capital behind the crawl
Investor conviction has been strong and sequential. The company closed a $500,000 seed round led by Y Combinator in January 2025, followed by a $6.5 million seed round in October 2025 led by Peak XV Partners [TechCrunch, October 2025]. Base10 Partners, Firedrop, and angel investor Logan Kilpatrick also participated in the latter round. The total disclosed raise sits at $7 million.
Jan 2025 Seed | 0.5 | M USD
Oct 2025 Seed | 6.5 | M USD
The October round was reported when the company was just four months old, indicating investors are moving early to back a thesis on AI-native discovery [TechCrunch, October 2025]. The involvement of Peak XV, a firm with deep roots in global growth markets, alongside the classic YC stamp, provides a blend of Silicon Valley pedigree and scaling expertise.
Navigating the inherent uncertainties
The bet is ambitious, and the risks are concrete. The entire category of generative-engine optimization is nascent, and its rules are unwritten. There is no pay-to-play option in AI search, every answer is organic. This makes the ROI harder to guarantee than traditional paid search. Furthermore, the competitive landscape includes early movers like Promptwatch and PromptRush, though none appear to have the same reported scale of page creation or investor backing.
One public test highlighted the challenge. A review site reported that none of four AI assistants it tested knew about The Prompting Company when asked [aiseotracker.com]. For a company selling AI visibility, that is an ironic data point it must overcome. The company’s answer likely lies in its product roadmap, which includes testing an “Agent Experience” where an AI agent completes a task within a product instead of merely citing it [Pedro Spota - AI Rankia | LinkedIn]. Moving from citation to action would represent a deeper, more valuable form of integration.
What enterprise buyers are watching
For the growth and developer relations teams at fintech and SaaS companies that are its target buyers, the evaluation will come down to a few key signals. They will want to see case studies demonstrating a measurable shift in “share of voice,” the new metric for how often a brand appears relative to competitors across AI prompts. They will scrutinize the security and compliance assurances for enterprise workflows [promptingcompany.com/enterprise]. And they will watch for partnerships that validate the approach, like the reported work with NVIDIA on next-generation AI search [PERPLEXITY SONAR PRO BRIEF].
The $6.5 million from Peak XV Partners and the $500,000 from Y Combinator bought runway. The 500,000 pages bought early traction. The question for the next twelve months is whether that traction can be converted into a durable, measurable advantage in a market being invented in real time. Can you optimize for a search engine that hasn’t finished being built?
Sources
- [TechCrunch, October 2025] The Prompting Company snags $6.5M to help products get mentioned in ChatGPT and other AI apps | https://techcrunch.com/2025/10/30/the-prompting-company-snags-6-5m-to-help-products-get-mentioned-in-chatgpt-and-other-ai-apps/
- [promptingcompany.com, retrieved 2026] The Prompting Company | Discovered and used by AI agents | https://promptingcompany.com/
- [PERPLEXITY SONAR PRO BRIEF, October 2025] Company overview and funding details
- [gritt.io, retrieved 2026] Employee count listing
- [aiseotracker.com] The Prompting Company: What It Is, Pricing and Review | https://aiseotracker.com/blog/prompting-company
- [Pedro Spota - AI Rankia | LinkedIn, retrieved 2026] Post on Agent Experience testing
- [12] Market analysis on evolving search behavior
- [14] Analysis on share of voice and AI search metrics
- [16] Observation on organic AI search results