imagine a world where AI knew every little detail about your...

imagine a world where AI knew every little detail about your business, your marketing strategies, your ICP, your brand voice, etc.

you can make this reality with context profiles...

simply grab a context profile template, fill it out & inject the file into your GPT project or send it alongside your prompt whenever needed

i built 8 context profile templates for you to fill out & reuse:

- business context profile
- brand voice profile
- marketing strategy profile
- ICP profile
- content strategy profile
- product roadmap profile
- audience psychographic profile
- youtube scriptwriting profile

simply send them either to ChatGPT or the @aifrontrunners context profile generator & fill out each value with either a brain dump, or one by one entry

unroll the thread 🧵

1. business context profile:

{
"profile_type": "business_context",
"business_name": "",
"founder_name": "",
"website_url": "",
"industry": "",
"business_model": "",
"core_offers": [],
"offer_tiers": {
"free": [],
"low_ticket": [],
"mid_ticket": [],
"high_ticket": [],
"custom": []
},
"revenue_streams": [],
"target_markets": [],
"customer_segments": [],
"mission_statement": "",
"vision_statement": "",
"core_values": [],
"unique_selling_proposition": "",
"competitive_advantages": [],
"competitors": [],
"key_partnerships": [],
"distribution_channels": [],
"tech_stack": [],
"team_structure": {
"leadership": [],
"marketing": [],
"product": [],
"sales": [],
"support": [],
"ops": []
},
"current_challenges": [],
"key_metrics": [],
"short_term_goals": [],
"long_term_goals": [],
},
"brand_assets": {
"logo": "",
"typography": "",
"color_palette": "",
"voice_guidelines": ""
}
}

2. brand voice profile:

{
"profile_type": "brand_voice",
"tone": [],
"style_descriptors": [],
"personality_traits": [],
"formality_level": "",
"language_rules": {
"contractions": "",
"jargon_level": "",
"sentence_length": "",
"use_of_questions": "",
"paragraph_length": ""
},
"persuasion_techniques": [],
"humor_style": "",
"audience_relationship": "",
"swearing_policy": "",
"emoji_usage": "",
"common_phrases": [],
"phrases_to_avoid": [],
"storytelling_elements": [],
"call_to_action_style": "",
"formatting_guidelines": {
"headlines": "",
"subheadings": "",
"bullets": "",
"emphasis": "",
"line_spacing": ""
},
"reference_brands": []
}

3. marketing strategy profile:

{
"profile_type": "marketing_strategy",
"positioning_statement": "",
"core_offers": [],
"customer_journeys": [],
"funnels": [],
"audience_segments": [],
"lead_magnets": [],
"email_sequences": {
"welcome": [],
"nurture": [],
"sales": [],
"retargeting": [],
"newsletter": []
},
"traffic_channels": {
"organic": [],
"paid": [],
"referral": [],
"social": [],
"search": []
},
"channel_objectives": [],
"content_distribution": [],
"advertising_strategies": [],
"KPI_targets": [],
"budget_allocation": {
"ads": "",
"content": "",
"tech": "",
"freelancers": "",
"training": ""
},
"conversion_optimization_tactics": [],
"upsell_downsell_flows": [],
"retention_strategies": [],
"referral_programs": [],
"testing_frameworks": [],
"campaign_calendar": []
}

4. ideal customer profile:

{
"profile_type": "ideal_customer",
"demographics": {
"age_range": "",
"gender": "",
"location": "",
"income_bracket": "",
"education_level": "",
"relationship_status": ""
},
"firmographics": {
"industry": "",
"company_size": "",
"job_title": "",
"department": "",
"revenue_range": ""
},
"psychographics": {
"aspirations": [],
"pain_points": [],
"values": [],
"fears": [],
"beliefs": [],
"lifestyle_traits": [],
"buying_motivations": [],
"decision_makers": []
},
"technographics": {
"tools_used": [],
"automation_level": "",
"preferred_platforms": []
},
"behavioral": {
"purchase_frequency": "",
"engagement_habits": [],
"content_consumption": [],
"trust_signals": []
},
"objection_patterns": [],
"customer_quotes": [],
"common_questions": [],
"search_keywords": [],
"brand_affinities": []
}

5. content strategy profile:

{
"profile_type": "content_strategy",
"content_pillars": [],
"formats": [],
"distribution_channels": [],
"objectives": [],
"audiences": [],
"posting_schedule": {
"daily": [],
"weekly": [],
"monthly": []
},
"repurposing_workflows": [],
"topic_clusters": [],
"content_calendar_structure": "",
"call_to_actions": [],
"SEO_strategy": {
"target_keywords": [],
"backlink_strategy": "",
"on_page_elements": []
},
"tone_and_voice_considerations": [],
"engagement_tactics": [],
"hooks_and_headlines": [],
"story_arcs": [],
"analytics_tools": [],
"KPIs": [],
"team_roles": [],
"AI_tools_used": [],
"content_review_process": [],
"platform_objectives": []
}

6. product roadmap profile:

{
"profile_type": "product_roadmap",
"product_name": "",
"product_type": "",
"core_use_case": "",
"target_users": [],
"user_personas": [],
"feature_backlog": [],
"MVP_definition": [],
"release_phases": [],
"timeline": {
"current_phase": "",
"next_release": "",
"full_launch_date": ""
},
"roadmap_quarters": {
"Q1": [],
"Q2": [],
"Q3": [],
"Q4": []
},
"milestones": [],
"integration_targets": [],
"feedback_loops": {
"surveys": [],
"in-app": [],
"community": []
},
"validation_methods": [],
"competitive_features": [],
"analytics_goals": [],
"user_retention_features": [],
"monetization_model": [],
"pricing_structure": [],
"scalability_plan": [],
"bug_tracking_process": []
}

7. audience psychographic profile:

{
"profile_type": "audience_psychographics",
"identity_roles": [],
"aspirations": [],
"emotional_drivers": [],
"external_challenges": [],
"internal_conflicts": [],
"self-perceptions": [],
"worldviews": [],
"belief_obstacles": [],
"information_sources": [],
"influencers_followed": [],
"community_engagement": [],
"platform_behaviors": [],
"content_preferences": [],
"status_signals": [],
"words_and_phrases": [],
"trust_triggers": [],
"buying_emotions": [],
"pain_aversion_patterns": [],
"transformation_desires": [],
"brand_interactions": [],
"psychographic_segments": []
}

8. youtube scriptwriting profile:

{
"profile_type": "youtube_script_guidelines",
"channel_identity": {
"channel_name": "",
"niche": "",
"target_viewer_description": "",
"value_proposition": "",
"main_content_themes": [],
"reference_channels": []
},
"video_style": {
"primary_format": "",
"editing_style": "",
"on_screen_persona": "",
"b_roll_usage": "",
"visual_tone": ""
},
"tone_and_voice": {
"tone": [],
"language_style": "",
"sentence_structure": "",
"swearing_policy": "",
"humor_style": []
},
"script_structure": {
"hook": {
"duration": "",
"goal": "",
"preferred_formats": []
},
"intro": {
"duration": "",
"goal": "",
"components": []
},
"main_content": {
"goal": "",
"preferred_formats": [],
"section_structure": []
},
"CTA": {
"types": [],
"tone": "",
"placement": ""
},
"outro": {
"goal": "",
"preferred_closers": []
}
},
"brand_voice_rules": {
"tone_emulation": {
"primary_tone": "",
"secondary_tone": "",
"persona_reference": "",
"analogies_and_metaphors": "",
"emotional_weight": "",
"urgency_and_pacing": "",
"energy_profile": ""
},
"stylistic_nuance": {
"preferred_sentence_length": "",
"preferred_paragraph_density": "",
"use_of_emphasis": {
"caps": "",
"italics": "",
"bolding": "",
"pauses": "",
"repetition": ""
},
"cadence": "",
"rhythm": "",
"transition_usage": ""
},
"phrasing_preferences": {
"intro_phrases": [],
"section_transitions": [],
"common_calls_to_action": [],
"viewer_callouts": [],
"sign_off_phrases": []
},
"voice_do": [],
"voice_dont": [],
"authenticity_signals": {
"story_integration": "",
"vulnerability_policy": "",
"value_density_threshold": "",
"viewer empathy strategy": "",
"originality_standards": ""
}
},
"optimization_preferences": {
"ideal_video_length": "",
"upload_frequency": "",
"AI_prompt_directives": []
}
}

here's the quickest, most efficient way to actually fill in & store these context profiles for later use...

go to app.frontrunning.ai & click the JSON profile generator in the tool suite (must have access to whop.com/ai to access this)

import the profile type you want to build (e.g. youtube scriptwriting, brand voice, icp)

the generator will walk you through each empty field in the schema using questions - you can either dump the info all at once or take it 1 by 1

answer the questions with your own info, preferences, or examples, don’t worry about perfect wording

once complete, the tool structures your answers into a reusable json context profile & saves it in your library

use the profile with any AI tool (including the other ones in the tool suite) to generate insanely personalized outputs

you can update the profile anytime, it’s modular and stored in your library

reuse profiles across workflows (e.g. pair your business profile with your brand voice profile to generate copy)

the more detailed your inputs, the more accurate and on-brand the AI output becomes