Fabric for brand identity agencies

A brand identity project generates more research than almost any other design engagement. Before the first concept, there's competitor audits, market positioning, audience analysis, mood boards, typography research, colour exploration, and reference image collection. During the project, there's multiple rounds of client feedback, direction pivots, and refinements. At the end, there's brand guidelines that go stale the moment they're delivered as a PDF.

The research informs the creative. But by round three, the competitor audit from the discovery phase is buried in a shared drive, the mood board lives in Figma, the client's initial feedback is in an email from weeks ago, and nobody goes back to check whether the current direction still reflects the research.

Fabric keeps the entire brand exploration searchable. From the first competitor audit through to the final guidelines, every piece of research, every direction explored, and every piece of feedback is findable.

Research connected to creative direction

AI search reads inside every competitor audit, positioning document, mood board reference, and meeting transcript. "What the competitor analysis showed about colour usage in the category" finds the insight. "The client's initial feedback about wanting to feel premium but approachable" finds the specific comment. The AI assistant can trace how the research informed the direction: ask it why you chose a serif over a sans-serif and it pulls from the type research, the competitor analysis, and the client discussion where it was decided.

Typography and colour exploration

Every font pairing tested, every colour study created, every direction explored is searchable by visual similarity and description. Similar search finds type and colour combinations that relate to a reference. Search by colour to find every exploration in a specific palette. The explorer surfaces visual connections across the exploration. The canvas lets you arrange type pairings, colour studies, and mood references spatially for client presentations.

Client feedback across rounds

Annotations pin client feedback to exact spots on every concept. The feedback from round one is still searchable during round three. Record client calls with AI voice notes. Forward email feedback to email-to-note. "What the client said about the logo mark in round two" finds the specific comment.

Self-writing docs produce decision logs tracking what was chosen, what was rejected, and why. When the client says "go back to the earlier direction," the earlier direction and the reasoning are documented.

Brand guidelines that stay alive

The final brand guidelines don't have to be a PDF that decays. Publish the guidelines as a living, searchable link with password protection and link analytics. Update the guidelines as the brand evolves and the link serves the current version. See brand guidelines for the full approach.

For the full agency workflow, see Fabric for agencies. For managing brand assets across clients, see brand assets. For the creative ops approach, see the best creative ops platform.

Get started

Keep the entire brand identity exploration searchable. Try Fabric free. See pricing for teams.

FAQs

Can I search across all brand research?

Yes. AI search reads inside competitor audits, mood boards, positioning docs, and meeting transcripts.

Can the AI explain why a direction was chosen?

Yes. The AI assistant traces decisions from research to creative through the decision log.

Can I search type pairings and colour studies by visual style?

Yes. Similar search finds related explorations. Search by colour for palette matches.

Can client feedback from earlier rounds be found later?

Yes. Annotations and feedback from every round are searchable throughout the project.

Can brand guidelines be a living link?

Yes. Publish guidelines that update in place rather than a static PDF.

Can I build mood boards on the canvas?

Yes. The canvas supports spatial arrangement with real-time collaboration.

Can I record client feedback calls?

Yes. AI voice notes transcribe calls into searchable text.

Are explorations organised automatically?

Yes. Smart organization tags by visual style, colour, and project.

Is client data secure?

Yes. AES-256 encryption, CASA Tier 2 compliant. Data never used for model training.