Most of the hard work in marketing with AI is getting the AI to understand your business well enough that you can trust what it produces. Without that understanding, every suggestion is plausible and none of it is specific. Today we are introducing Context Manager, the part of Flowgen where that understanding is captured, distilled and kept current.

Key takeaways

  • Context Manager is the organisational brain for your AI Marketer: everything a new teammate would need to know, available to the AI from day one.
  • It is built from four areas: Brand Context, Personal Context, a Knowledge Base and Synced Data from Gong, Slack and email.
  • A distillation pipeline turns raw documents into weighted inferences organised into six Brand Records: Company, Market, Offerings, Audience, Strategy and Execution.
  • The system surfaces context gaps as targeted questions, and the answers flow back into the knowledge base automatically.
  • Context attaches to the workspace, not to an individual, so its value compounds over time.

The mental model

Think about what a strong new hire needs to learn in their first month: what the company sells, which products matter most right now, what the strategic goals are, who does what, how the team likes to communicate, and what is launching next quarter. Context Manager captures the answers to those questions and makes them available to your AI Marketer. The aim is for the AI to behave like an expert teammate with complete comprehension of the brand, rather than a capable stranger.

Where the value comes from

Better prioritisation

Recommendations get more strategic when the AI can connect metric movements, business priorities, target audiences, product launches, competitive threats and the ways your team actually executes. Instead of a generic "improve your content", you get a specific, actionable suggestion grounded in what is true for your business this quarter.

Higher-quality outputs with less trial and error

Context improves everything downstream. Terminology, tone, formats and constraints are applied automatically, so drafts arrive closer to finished, consistency holds across the team, and the hours previously spent correcting and re-prompting go back to the people doing the work.

Without context"Consider publishing more comparison content to improve visibility." Reasonable, generic, and the same advice every brand gets.
With context"Visibility for the Enterprise tier dropped after the pricing change; the two competitor comparison pages your sales team cites most are not covered. Draft them in the brand voice, 'Ask' format."

What makes up Context Manager

Context Manager is organised into four areas:

Brand Context

Products, differentiation, voice, competitors and audiences: the facts that define the brand.

Personal Context

Each team member's preferences, responsibilities and the metrics they care about.

Knowledge Base

Source-of-truth documentation: positioning docs, brand kits, playbooks and plans.

Synced Data

Conversations integrated from Gong, Slack and email, where brand knowledge is scattered today.

How raw material becomes usable context

Dropping documents into a folder and searching them is not understanding. Context Manager runs a distillation pipeline instead. First it extracts durable facts from each source, the statements that remain true next month. Then it clusters related facts into weighted inferences, so that a claim repeated across a sales call, a Slack thread and a positioning doc carries more weight than a one-off. Finally it organises those inferences into six marketing-focused Brand Records.

1. ExtractDurable facts pulled from every source
2. ClusterRelated facts grouped into weighted inferences
3. OrganiseInferences filed into Brand Records
4. ApplyRecords used by the AI Marketer on every task
Brand RecordWhat it holds
CompanyWho you are, history, structure, positioning
MarketCategory, competitors, trends and threats
OfferingsProducts, tiers, pricing and differentiation
AudiencePersonas, segments, buying triggers
StrategyGoals, priorities, upcoming initiatives
ExecutionVoice, formats, channels, constraints

Understand and fill the gaps in your context

A context gap is a place where the AI has helpful information but not enough specificity to change a recommendation. Context Manager detects those situations and asks a targeted question only when the missing detail would actually alter the output. Answer it once and the answer is written back into the knowledge base, so the question never needs asking again.

The AI should ask you the one question that changes the answer, not a questionnaire.

Value compounds as Context Manager persists

Context is dynamic. Files get corrected, questions get answered, priorities shift at the quarter boundary, and Context Manager updates with each change. Because that understanding belongs to the workspace rather than to whoever set it up, it survives team changes and gets better the longer it runs. The first week it saves you re-explaining the basics; by the end of the year it knows the business better than most new hires.

Get started

Context Manager is available today for Enterprise customers. Self-serve customers can request a demo to see it in their workspace, or read more on the Context Manager feature page.

Garrett Gomez & Aryan ChaudharyProduct Marketing and Member of Technical Staff, Flowgen