Profound is an AI marketing platform built for the "agentic era," used to help brands gain visibility on AI search platforms and drive marketing execution.
Purpose With the rise of AI search, marketers face a large amount of new work. Profound's goal is to let the AI Marketer identify work worth doing, draft content, and hand it to the user for approval. The platform emphasizes winning exposure on AI search platforms such as ChatGPT, Perplexity, Claude, Gemini, Microsoft Copilot, DeepSeek, Google AI Overviews, and others.
Main capabilities According to official materials, the platform provides the following capabilities:
- Content and page optimization: create, optimize, and influence the pages behind AI answers; rewrite pages with decaying citations and stage them to the CMS; build pages for questions that do not have answers; open content that AI crawlers currently cannot read.
- Content production: from insights to briefs to finished content, and generate clipped versions for each channel; produce content worth reading at scale.
- Social operations: generate posts and images, resized for each platform; turn long-form articles into context-appropriate tweet threads; draft comment replies worth responding to while maintaining brand voice and point of view.
- AI search demand capture: discover high-traffic prompts where the brand is missing from organic rankings, write sponsored answer concepts for each prompt, and stage campaigns for approval.
- Misinformation correction: trace inaccurate claims back to publishers repeatedly spreading them, draft personalized corrections for each journalist, and track which publishers actually update.
- Product launch support: generate messaging, one-pagers, FAQs, and enablement materials from a product brief, keep versions consistent, and package them for review.
- Brand consistency: scan the brand's own channels, find discontinued names, off-brand claims, and outdated creative, then rewrite and republish them.
How to use it The platform operates as a collaborative workspace. Users give instructions to the AI Marketer in natural language, such as finding pages losing traffic in AI answers and rewriting them, turning a CEO speech into a buyer's guide and channel-specific clips, using the Thought Leader Agent to write next week's posts in the brand voice and generate images, finding media that cite old specifications and preparing outreach, and building a launch kit from a brief. The AI Marketer executes and returns results, such as rewriting several pages and staging them as drafts, generating seven posts and multi-ratio images, and writing broad [text cut off]Announcements, drafting personalized emails to send to journalists, generating press kits, etc., followed by user approval.
Supporting data and measurement The platform provides extensive analytics capabilities: analyze billions of real user conversations to understand intent; track visibility scores across platforms; understand how answer engines describe the brand's category; update the AI Marketer's real-time brand context when brand positioning changes; monitor how AI crawlers view, cite, and recommend pages; benchmark against industry peers; verify the accuracy of AI claims; measure brand sentiment and its driving sources in answer engines; track product visibility in ChatGPT shopping, with SKU-level granularity for merchants and retailers. Command Center allows viewing the deployment of agents across the marketing team, including usage by agent category, hours saved, and number of agent runs.
Use cases For marketing teams, especially organizations that need to respond to AI search, manage content production, social operations, public relations outreach, product launches, and brand consistency. The materials mention that enterprise capabilities are trusted by one-third of the Fortune 100, and provide governance support such as RBAC, SCIM, and SOC 2, as well as 200+ integrations to extend the existing technology stack.
Limitations The materials do not provide details on fees, pricing, specific subscription plans, free trial policies, or the complete list of supported platforms beyond what is mentioned. Specific implementation steps, integration methods, and data access methods are not explained in detail in the provided materials.
