Real-time context to power marketing Agents you trust

Context Manager allows your AI Marketer to operate like an expert teammate with complete knowledge of your brand

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Connect to where brand knowledge is scattered today

Connect to knowledge bases, brand kits, and conversations across Slack, email, and Gong

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Constantly synthesize data into Brand Records

A self-healing system automatically updates with every addition, change, and interaction with Aim

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Collect Personal Records informed by interactions with your AI Marketer

For when the preferences and needs of individuals should be considered.

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Profound stores Personal Records capturing the preferences of individual teammates

Give your AI Marketer the brain to be a true teammate

Suggested work is aligned with goals and the output meets your quality bar the first time

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Proactively find and fill gaps in stored knowledge

When your AI Marketer finds a gap, it asks. You can then fill with text, voice, or files to close them.

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Profound asks a question to fill a gap in stored knowledge, answerable with text, voice, or files

Frequently asked questions

Context Manager is the layer in Profound where your business knowledge lives, gets structured, gets remembered, and gets applied to the work your AI Marketer does for you. It acts as an organizational brain and operating memory, holding the answers a new hire would need before they could do useful work: what your company does, which products and audiences matter most, your current priorities, who your colleagues are, and how your team writes and communicates.Context Manager is organized into four areas. Brand Context covers what you sell, how you differentiate, your voice, your competitors, your audiences, and the constraints your content has to respect. Personal Context covers how each team member works, including preferred report formats, level of detail, the metrics they check first, and the priorities they are driving. Knowledge Base holds your source-of-truth material and is the primary way information enters the system. Synced Data provides opt-in access to conversations you already have with your Profound team, including calls recorded in Gong, shared Slack channels, and email threads.
Connecting AI to a knowledge base does not inherently make it smarter, and past a certain volume it makes it worse, because retrieval returns a handful of passages that are technically relevant but misses the connections a teammate would make. Context Manager does not treat your material as a flat corpus to search. It runs a distillation pipeline that extracts durable facts, clusters them into weighted inferences, and organizes them into six defined Brand Records. Your Knowledge Base stores the evidence; Context Manager turns it into an understanding of your company.
Context Manager files distilled context into six marketing-oriented Brand Records. Company holds who you are, how you position, and what makes you different. Market holds your category, your competitors, and where you stand against them. Offerings holds products and services, approved terminology, and what you can and cannot claim. Audience holds who you sell to and which segments actually matter. Strategy holds current priorities, upcoming launches, and the goals this quarter is pointed at. Execution holds how work gets done: cadence, formats, approvals, and the things you never do.
Context Manager runs a three-step distillation pipeline. It extracts durable facts out of documents, transcripts, and conversations and discards the noise; clusters facts that reinforce each other into inferences, weighted by how authoritative and how recent the source is; then organizes those inferences into the six Brand Records. Every block of generated context shows its source, so you can see whether it came from an uploaded file, a call, or a Slack conversation, open it to inspect, and edit either the source or the Brand Record directly.
A context gap is a place where your AI Marketer has enough information to be helpful but not enough to be specific, such as knowing your products but not your Q4 priorities, or knowing visibility dropped but not which initiative takes precedence. When your AI Marketer finds a gap, it asks: it surfaces a single question at the moment the missing information would change its answer, and you can answer it or skip it. Connect it to a shared Slack channel and it raises the same question in the thread. Either way, the answer flows back into your context, so you never have to maintain another surface to make your AI useful.
Context Manager lets your AI Marketer connect metric movements to business priorities, target audiences, product launches, competitive threats, and the specific ways your team executes. This means it recommends and executes the right work every time. Downstream, your terminology, approved claims, tone, formats, and hard rules get applied by default, so no one has to attach the right context files to each project, which protects brand consistency and saves teams hundreds of hours of manual intervention.
Yes. Context is not a one-time onboarding form. Every corrected file, answered gap, connected conversation, and shift in priorities updates what your AI Marketer understands about your business, and it will even suggest what to remove so stale or contradictory information does not slow trust or momentum. That understanding stays attached to the workspace rather than one expert's head or one call recording: a new teammate inherits it, a new Project starts from it, and a new agent runs on it.

Real-time context to power marketing Agents you trust

Used by companies of all sizes

Connect to where brand knowledge is scattered today

Constantly synthesize data into Brand Records

Collect Personal Records informed by interactions with your AI Marketer

Give your AI Marketer the brain to be a true teammate

Proactively find and fill gaps in stored knowledge

Frequently asked questions

What is Context Manager in Profound?

How is Context Manager different from connecting AI to a knowledge base?

What are the six Brand Records in Context Manager?

How does Context Manager turn raw material into usable context?

What is a context gap, and how does Context Manager fill it?

How does Context Manager improve the work your AI Marketer produces?

Does context get better over time with Context Manager?