Tage Kene-Okafor reports in TechCrunch on The Prompting Company’s AI discovery strategy

Tage Kene-Okafor reports in TechCrunch on The Prompting Company’s AI discovery strategy

TechCrunch reporter Tage Kene-Okafor’s article was published on October 30, 2025. It reports that The Prompting Company, founded by Kevin Chandra, Michelle Marcelline, and Albert Purnama, raised seed funding to help products appear in AI apps’ recommendations. The company calls its approach GEO (generative engine optimization), a strategy designed for a future where AI agents browse the internet on users’ behalf. It probes models for purchase-intent queries, creates structured content answering them, and routes agents to “AI-optimized pages.” Chandra argues that brands will need websites designed for AI agents as well as humans. The article says the startup’s customers include fintech, developer tools, and enterprise SaaS companies, and reports double-digit millions of monthly traffic to client sites; it gives no measurement method or comparison for that traffic figure. Chandra says agents are not yet accessing purchase options or APIs directly, but expects that to change in the coming months. The company’s bet is that AI-driven product discovery will become a distribution channel; how often AI recommendations lead to purchases, and how that traffic is measured, remains unclear.

Publication: a4ff7d6f-c59b-5c70-a354-51984a7aafd3

attribution — pass: The reading correctly identifies this as a single TechCrunch news article by reporter Tage Kene-Okafor. Its company claims are attributed to the article, and Chandra's views and expectations are attributed to him.

Tage Kene-Okafor Reporter, Africa

summary — pass: The reading names the actor (The Prompting Company and its founders) and the development (seed funding for GEO). It defines GEO in plain language, describes how the platform works, and states Chandra's argument and stated limits. AI agent and API are defined beside the reading. The traffic caveat and the question about purchase conversion follow from the evidence. This is a news report, not a self-published case study, so the product-promotion rule does not apply.

helping products get mentioned in AI apps through GEO (generative engine optimization), a strategy designed for a future where AI agents browse the internet on users’ behalf

date — pass: The stated date of October 30, 2025 matches originalPublished and the URL path, at day precision. Chandra's expectation that agents will change in the coming months is reported as his forecast, not as an outcome. The Most Popular sidebar contains later stories, but the reading does not use or rely on them. The retrieval date is disclosed, and the evidence is a publisher page, not an archive copy.

Right now, these agents aren’t yet clicking those options or accessing APIs directly, but we expect that to change in the coming months

support — pass: The claims match source passages: the seed raise, the platform steps, the customer sectors, the double-digit-millions traffic figure and Chandra's forecast. The note that no measurement method is given is accurate. The labeled interpretation about a distribution channel echoes the article's own framing. The question raises a genuine open issue and does not assume an answer.

Overall, traffic driven to client sites is in the double-digit millions per month.

media — pass: No media was selected and no verified media candidates were supplied, so a null mediaId is appropriate.