---
title: "Profound’s $180M Series D at $1.8B: AI Marketing for Answer Engines"
description: "Profound closed a $180 million Series D at $1.8 billion on September 15, 2026, co-led by Sequoia and Kleiner Perkins — less than seven months after a $96 million Series C. ARR not disclosed; 1,000+ enterprise brands claimed."
date: 2026-09-16T00:00:00.000Z
source: https://venturecapitaltracker.com/2026-profound-180m-series-d-1-8b-sequoia-kleiner
---

# Profound’s $180M Series D at $1.8B: AI Marketing for Answer Engines

> Profound closed a $180 million Series D at $1.8 billion on September 15, 2026, co-led by Sequoia and Kleiner Perkins — less than seven months after a $96 million Series C. ARR not disclosed; 1,000+ enterprise brands claimed.

**[Profound](/startup/profound)** closed a **$180 million** Series D at a **$1.8 billion** valuation on **September 15, 2026**, **co-led** by **[Sequoia Capital](/fund/sequoia)** and **[Kleiner Perkins](/fund/kleiner-perkins)**. Existing backers [Lightspeed Venture Partners](/fund/lightspeed-venture-partners-nyc), **[Khosla Ventures](/fund/khosla-ventures)**, Saga Ventures, Evantic, and South Park Commons participated. The round arrives **less than seven months** after a **$96 million** Series C at **$1 billion**. ARR was **not disclosed** ([company](https://www.tryprofound.com/newsroom/profound-raises-usd180m-series-d-at-usd1-8b-valuation-to-build-the-ai-platform-for-marketing-teams), [Bloomberg](https://www.bloomberg.com/news/articles/2026-09-15/profound-hits-1-8-billion-value-to-boost-brands-in-ai-search)).

Brands are learning that “SEO for ChatGPT” is not a feature — it is a new marketing surface — and Sequoia + KP just paid a **$1.8B** mark for the workbench expanding from AI-search analytics into agentic campaign ops.

## Key facts

| Field | Detail |
| --- | --- |
| Company | [Profound](/startup/profound) ([tryprofound.com](https://www.tryprofound.com)) — AI platform for marketing / answer engines |
| Financing | **$180M** Series D at **$1.8B** |
| Date | September 15, 2026 |
| Leads | Sequoia + Kleiner Perkins (co-led) |
| Prior | **$96M** Series C at **$1B** (Feb 2026; Lightspeed led) |
| Customers (company) | **1,000+** enterprise brands; **>1/3** of Fortune 100; **16%** of Fortune 500 claimed |
| Named logos | Comcast, Estée Lauder, Walmart, Campari, RBC, Zoom, ServiceNow, Ramp, Cursor, MongoDB, Figma |
| ARR | **Not disclosed** |

## Who uses the product — and for what job

**Users:** marketing teams at large brands and growth-stage tech companies that need to win visibility when buyers ask ChatGPT, Gemini, Perplexity, and other answer engines — then turn that signal into content, ads, and reporting.

**Job:** (1) measure how models mention and describe the brand; (2) produce and refresh marketing work across organic and paid; (3) orchestrate agents (“AI Marketer”) with brand context. Company product names around the raise: **AI Marketer**, **Context Manager**, **Ads Studio** (OpenAI / Google / Meta ad managers; company pixel).

Fortune 100/500 share claims and named logos are **company-disclosed distribution**, not audited spend. Treat “2B+ real user prompts” as a data-asset claim until methodology is public.

## Why now

- Buyer discovery is shifting from ten blue links to **answer engines** — marketing orgs need a continuous coverage surface, not a quarterly SEO project.
- Series C → Series D in **under seven months** at **1.8×** the prior mark argues the bottleneck is **platform breadth** (agents + ads), not category education.
- Kleiner’s Ilya Fushman frames the bet as rebuilding marketing workflows for the “agentic web”; Sequoia’s Anas Biad cites enterprise adoption speed — both are **judgment**, not metrics.

## Why Sequoia and Kleiner Perkins — portfolio fit

**Co-lead structure** matters: both firms were already on the cap table from earlier rounds and **tripled down** as Profound expands from AI-search analytics into a broader marketing OS.

- **[Sequoia](/fund/sequoia)** fits category-defining consumer/enterprise platforms where distribution compounds (brand logos + data flywheel). Partner quote emphasizes applied AI lab talent in NYC and SF.
- **[Kleiner Perkins](/fund/kleiner-perkins)** fits “workflow rebuild” theses when a new interface (answer engines) forces new software — analogous to prior marketing/cloud transitions, not a one-feature AEO plug-in.
- **[Khosla](/fund/khosla-ventures)** returning keeps a hard-tech / AI conviction lane on the same tape as Factory’s same-day raise.

Do **not** invent a `/fund/lightspeed` link (main Lightspeed is not our NYC directory page). Saga, Evantic, and South Park Commons stay editorial-only.

## Competitive map

| Approach | Tradeoff |
| --- | --- |
| Classic SEO / AEO agencies | Human coverage; does not scale to answer-engine surfaces |
| Generic marketing copilots | Speed; weak brand-context + measurement loop |
| Ad platforms alone | Paid presence; thin organic AI-search insight |
| Profound workbench | Named enterprise logos + agent roadmap; **no ARR** printed |

## What is not proven

- ARR, NRR, ACV, or contribution margin.
- Whether Fortune 100/500 percentages are seats, logos, or pipeline.
- Independent verification of the “2B+ prompts” corpus.
- Profitability — not disclosed.

## Practical takeaway

- **Founders (martech):** Ship **measurement → agent work → paid/organic loop**; raise on logo density only if you can later print monetization.
- **Investors:** Diligence expansion from AI-search analytics into Ads Studio — category risk is “AEO feature” vs “marketing platform.”
- **CMOs:** Relevant if answer-engine visibility already shows up in brand tracking and you need one system for insight and execution.

### Sources

1. [Profound newsroom — Series D](https://www.tryprofound.com/newsroom/profound-raises-usd180m-series-d-at-usd1-8b-valuation-to-build-the-ai-platform-for-marketing-teams)
2. [Profound blog — Series D](https://www.tryprofound.com/blog/series-d)
3. [Bloomberg](https://www.bloomberg.com/news/articles/2026-09-15/profound-hits-1-8-billion-value-to-boost-brands-in-ai-search)

**By:** [Venture Capital Tracker](https://venturecapitaltracker.com/editorial-policy)
**Last updated:** September 16, 2026

**Editorial note:** AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.