Quick Answer: Create a project with your brand context, upload competitive research and customer data, define AI roles as strategy specialists, and use Debate Mode to stress-test positioning.
What This Guide Covers
You’ll transform Suprmind into a brand strategy team that:
- • Challenges weak positioning before you commit to it
- • Brings customer, competitor, and market perspectives
- • Generates positioning frameworks and messaging options
- • Stress-tests ideas through structured debate
Time required: 20-30 minutes for setup. Each strategy session runs 15-45 minutes depending on depth.
Create Your Brand Strategy Project
Click New Project and write a comprehensive description:
WEAK:
Brand strategy work
STRONG:
Brand strategy and positioning for [Company Name], a B2B fintech platform that helps CFOs automate financial reporting.
Current positioning: “Financial reporting automation” (generic, not differentiated)
Target audience: CFOs and Finance Directors at companies with $50M-500M revenue. Pain points: manual Excel work, audit prep stress, board reporting delays.
Key competitors:
- Vena Solutions (positioned as “Complete Planning”)
- Datarails (positioned as “FP&A for Excel lovers”)
- Cube (positioned as “Spreadsheet-native FP&A”)
Differentiation hypothesis: We’re the only platform that connects directly to ERPs AND generates board-ready reports automatically.
Brand personality: Confident expert, not corporate robot. We understand finance people because we ARE finance people. Direct, no BS, occasionally dry humor.
Project goals: Develop defensible positioning, create messaging framework, generate tagline options.
Generate Project Instructions
Open Prompt Adjutant and input:
Create project instructions for brand strategy and positioning work. Context: [Paste your project description] The instructions should: - Define how to approach positioning analysis - Specify frameworks to consider (but not force) - Ensure all perspectives are represented (customer, competitor, internal) - Enable Debate Mode for stress-testing - Require searching project knowledge before making claims about competitors or customers Output needs: Positioning statements, messaging frameworks, competitive differentiation, voice guidelines
Example output:
PROJECT: Brand Strategy - [Company Name] OBJECTIVE: Develop differentiated brand positioning through rigorous multi-perspective analysis. All positioning must survive adversarial testing. ANALYSIS FRAMEWORK: 1. Market Reality Check - Current category dynamics - Where attention and budget is flowing - Emerging narratives vs. tired ones 2. Competitive Positioning Map - How each competitor positions (their words, not our interpretation) - White space opportunities - Dangerous overlaps to avoid 3. Customer Truth - What they actually say (not what we hope they say) - Underserved needs - Language they use to describe problems 4. Internal Capability Audit - What can we credibly claim? - Proof points available - Claims that require asterisks BEFORE ANY ANALYSIS: - Search project knowledge for competitor positioning data - Search project knowledge for customer research/quotes - Search project knowledge for current brand guidelines - Do not invent competitor claims or customer quotes DEBATE MODE REQUIREMENTS: When testing positioning options: - Each AI must argue AGAINST at least one option - Surface the strongest objection to each position - Identify which objections are fatal vs. manageable - Only recommend positions that survive challenge OUTPUT FORMAT: 1. Positioning Statement (primary + 2 alternatives) 2. Messaging Framework (pillars, proof points, headlines) 3. Competitive Differentiation Matrix 4. Voice & Tone Guidelines 5. What We're NOT (important boundaries) 6. Tagline Options (minimum 5) NEVER: - Recommend positioning without competitive context - Use jargon the customer doesn't use - Claim differentiation we can't prove - Skip the adversarial testing step
Paste into Settings > Advanced > Project Instructions.
Define AI Roles
Go to Settings > AI Personalities. Use Prompt Adjutant to generate each role:
Upload Reference Documents
Critical: Use DOCX or Markdown format for best AI parsing.
Competitive Intelligence:
- Competitor website copy (their positioning pages)
- Competitor messaging extracted from ads
- Analyst reports mentioning competitors
- G2/Capterra review summaries
Customer Research:
- Interview transcripts or summaries
- Survey results
- Support ticket themes
- Sales call notes (what prospects say)
Internal Context:
- Current brand guidelines
- Previous positioning attempts
- Product capability documentation
- Founder/leadership vision statements
Framework References (optional):
- Positioning templates you like (April Dunford, etc.)
- Category examples you admire
- Anti-examples (what you don’t want to sound like)
Run a Brand Strategy Session
Session 1: Discovery and Options
Analyze our current positioning against competitors and customer needs. Generate 3 distinct positioning directions we could take: 1. One that emphasizes [capability A] 2. One that emphasizes [capability B] 3. One that's a contrarian take on the category For each direction, give me: - Positioning statement (for, who, that, unlike, because) - Key proof points - Biggest vulnerability
Session 2: Debate Mode Stress-Test
Switch to Debate Mode and input:
We're considering positioning as "[Draft positioning statement]" Debate whether this positioning will work: - Arguments FOR this positioning - Arguments AGAINST this positioning - What competitor response it invites - What customer objection it faces - Final verdict: proceed, refine, or abandon
Session 3: Messaging Framework Build
Based on our stress-tested positioning, create a complete messaging framework: 1. Positioning statement (final) 2. Three messaging pillars with proof points 3. Headlines for each pillar (website, ads, sales deck) 4. Elevator pitch (30 seconds) 5. Boilerplate (company description) 6. Tagline options (5 minimum) 7. Voice guidelines (do this, not that)
How the Knowledge Graph Helps
Week 1
Generic strategy frameworks applied to your context
Month 1
Knows your competitive landscape, remembers which positioning angles you rejected and why, understands your proof point inventory
Month 3
Anticipates competitor responses based on past analysis, connects new product features to established messaging pillars, maintains positioning consistency across sessions
When to Use @Mentions
Quick competitor check: @grok @perplexity what's [Competitor] saying in their latest campaigns?
Framework help: @gpt structure this value prop into a messaging hierarchy
Reality check: @claude what's the weakest part of this positioning?
Full strategy session: All five AIs