Profound is an NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT. We partner with some of the biggest brands and marketing agencies, including companies like MongoDB, Indeed, Mercury, DocuSign, Zapier, Ramp, Rho, Golin, Workable, Mejuri, Eight Sleep, G2, US Bank, Chime, and Clay.
We recently raised a $35 million Series B funding round led by Sequoia Capital, with continued backing from venture capital firms Kleiner Perkins, Khosla Ventures, Saga VC, and South Park Commons, as well as angel investors including Guillermo Rauch (Vercel) and Andrew Karam (Applovin).
Learn more at tryprofound.com.
Execution & Analysis
Conduct prompt and theme analysis, AI content landscape mapping, and support LLM visibility audits.
Carry out AEO technical audits to assess site structure, content accessibility, and optimization opportunities for generative engines.
Monitor and report on AI-driven search trends, citation patterns, and competitor visibility across AI discovery platforms (e.g., ChatGPT, Perplexity, Gemini, Copilot).
Build and maintain trackers, dashboards, and internal documentation to support AEO projects across Fortune 500/Enterprise customers
Client & Team Support
Prepare materials and insights for client POVs, presentations, and strategic recommendations.
Collaborate with SEO/AEO, Content, and Analytics teams to integrate AEO insights into broader programs.
Participate in knowledge-sharing and training sessions to expand AEO and GEO expertise across teams.
1–2 years of experience in SEO, search strategy, or related digital performance roles.
Strong analytical, organizational, and communication skills.
Proficiency in keyword research and on-page optimization (title tags, meta descriptions, internal linking).
Foundational technical SEO knowledge (site audits, crawling/indexing, schema, page speed basics).
Familiarity with SEO tools (e.g., GSC, SEMrush, BrightEdge) and curiosity about AI search platforms (ChatGPT, Gemini, Perplexity, Copilot).
Eagerness to learn how large language models discover and prioritize content — and apply those insights to client work.
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