Brand Name Oracle Skill

Forecast brand name success comprehensively across multiple dimensions. This skill provides a structured approach to brand name prophecy.

When to Use

• User asks to forecast a potential brand/company/product name's success

• User wants to check if a name is "good" or "available"

• User is deciding between name options

• User wants oracle insight on a name they're considering

Forecasting Framework

For each brand name, forecast across these dimensions:

1. Domain Availability (Check these TLDs)

• .com (most important)

• .io (tech startups)

• .co (alternative)

• .ai (AI companies)

• .app (applications)

How to check: Run whois {name}.com etc. via Bash tool to check actual availability.

2. Social Handle Availability

• Twitter/X (@name)

• Instagram (@name)

• LinkedIn (company/name)

• TikTok (@name)

• GitHub (if tech company)

How to check: Use WebFetch to check if handles exist or are available.

3. Trademark Risk Assessment

• Search USPTO TESS database via WebSearch

• Check for similar marks in the same class

• Assess likelihood of confusion

Risk levels:

• Low: No similar marks found

• Medium: Similar marks exist but different industry

• High: Similar marks in same industry

4. Pronunciation Analysis

Score 1-10 based on:

• Number of syllables (fewer = better, 1-2 is ideal)

• Phonetic clarity (no ambiguous sounds)

• Spelling predictability (can people spell it from hearing it?)

• International pronounceability

5. International Check

Check for problematic meanings in:

• Spanish

• French

• German

• Mandarin

• Japanese

• Portuguese

• Arabic

Red flags: Profanity, negative connotations, embarrassing meanings

6. Similar Companies Check

Search for existing companies with similar names to identify confusion risk:

Check for:

• Phonetically similar names (sound alike when spoken)

• Visually similar names (look alike when written)

• Names with similar prefixes/suffixes

• Names in the same or adjacent industries

How to check: Use WebSearch to find companies with similar names. Consider:

• Direct competitors with similar names

• Well-known brands that could cause confusion

• Companies that might have trademark claims

Risk levels:

• Low: No similar companies found, or only in unrelated industries

• Medium: Similar names exist in adjacent industries

• High: Very similar names in same industry, or conflicts with well-known brands

7. AI Perception Analysis (Persona-Based)

IMPORTANT: Use the Task tool to spawn 5 persona subagents in parallel. Each persona evaluates the brand name from their perspective.

Launch these 5 agents simultaneously using the Task tool:

Persona 1: Sarah, 28, Software Engineer

• Tech-savvy millennial at a startup
• Values innovation and authenticity

Persona 2: Robert, 55, Small Business Owner

• Runs a local accounting firm
• Conservative, values trust and reliability

Persona 3: Maya, 34, Marketing Director

• Works at Fortune 500 company
• Expert in branding, very critical

Persona 4: James, 42, Investor

• VC partner evaluating startups
• Focuses on market positioning

Persona 5: Lisa, 22, College Student

• Gen Z, heavy social media user
• Cares about authenticity and social impact

For each persona, the agent should answer:

• "What does '{name}' make you think of?"

• "What industry would you guess this company is in?"

• "Would you trust a company with this name?" (yes/no)

• "Is this name memorable to you?" (yes/no)

• Brief overall impression (2-3 sentences)

Agent prompt template:

You are {Name}, a {age}-year-old {occupation}. {background}

Evaluate the brand name "{BRAND_NAME}" from your perspective.

Answer briefly:

1. What does this name make you think of?
2. What industry would you guess?
3. Would you trust this company? (yes/no + why)
4. Is it memorable? (yes/no + why)
5. Overall impression (2-3 sentences)

After all 5 agents complete, synthesize their responses:

• Aggregate common themes in what the name evokes

• List industries mentioned

• Calculate trust rate (X/5 would trust)

• Calculate memorability rate (X/5 find it memorable)

• Note any divergent opinions

Output Format

Brand Evaluation: {NAME}

Overall Score: {X}/100

Domain Availability

Social Handles

Trademark Risk: {LOW/MEDIUM/HIGH}

{Brief explanation}

Pronunciation Score: {X}/10

• Syllables: {N}
• Phonetic clarity: {assessment}
• Spelling predictability: {assessment}

International Check

{Any issues found, or "No issues detected in major languages"}

Similar Companies: {LOW/MEDIUM/HIGH} RISK

{List of similar companies found, if any}

• CompanyName (industry) - reason for similarity

AI Perception Analysis (5 Personas)

Trust Rate: {X}/5 personas would trust this brand Memorability: {X}/5 personas find it memorable

What This Name Evokes

{Synthesized themes from all personas}

Industry Associations

{List of industries mentioned by personas}

Individual Persona Responses

Sarah (28, Software Engineer): {brief response} Robert (55, Business Owner): {brief response} Maya (34, Marketing Director): {brief response} James (42, Investor): {brief response} Lisa (22, Student): {brief response}

Mission Alignment (if provided)

Score: {X}/10 {Explanation of how well name fits mission}

Recommendation

{Final assessment and any suggestions}

Scoring Guide

Calculate overall score as weighted average:

• Domain availability: 20% (50 pts for .com, 50 pts split among others)

• Social handles: 10% (equal weight per platform)

• Trademark risk: 20% (low=100, medium=50, high=10)

• Pronunciation: 15% (score * 10)

• International: 15% (100 - 20 per issue found)

• Similar companies: 20% (low=85, medium=60, high=20)

Example

User: "Evaluate the brand name 'Luminary' for an education technology company"

• Check domains via whois

• Check social handles via WebFetch

• Search USPTO via WebSearch

• Analyze pronunciation (4 syllables, easy spelling)

• Check international meanings

• Search for similar companies (e.g., Lumina, Illuminate, Luminari)

• Launch 5 persona agents in parallel using Task tool

• Synthesize and present results