Auto-Generation

One-click proposal generation transforms your bid analysis into professional proposal content. The AI uses your requirements, capabilities, and company profile to create tailored proposals.

How It Works

Auto-generation follows this process:

1. Analyzes requirements - Reviews all extracted RFP requirements
2. Maps capabilities - Matches your capabilities to requirements
3. Structures content - Organizes into appropriate sections
4. Generates text - Writes tailored proposal content
5. Validates compliance - Ensures requirements are addressed

Generating a Proposal

Generation Options

Sections to Generate

Select specific sections or use presets:

• All Sections - Complete proposal (18 sections)
• Technical Only - Technical approach, methodology, schedule
• Management Only - Management plan, staffing, QA
• Custom - Pick individual sections

Tone Settings

Choose the writing style:

• Formal - Traditional government proposal language
• Professional - Clear and direct
• Compelling - Emphasizes benefits and differentiation

Length Settings

Control output length:

• Concise - Minimum viable content
• Standard - Balanced coverage
• Comprehensive - Detailed, thorough content

What Gets Generated

Executive Summary

• Company introduction and qualifications
• Understanding of client needs
• Solution overview
• Key differentiators
• Compliance commitment

Technical Approach

• Methodology and framework
• Requirement-by-requirement response
• Technical solution details
• Tools and technologies
• Innovation elements

Management Plan

• Project organization
• Communication protocols
• Decision-making processes
• Escalation procedures
• Stakeholder management

Past Performance

• Relevant contract summaries
• Similar scope and scale
• Client references
• Performance metrics
• Lessons learned

And More...

Additional sections include staffing, QA, risk management, schedule, pricing approach, compliance matrix, and more.

Generation Quality

What Affects Quality

• Complete capabilities profile - More detail = better proposals
• Thorough analysis - All requirements extracted and categorized
• Good capability matches - Clear alignment documented
• Historical data - Past proposals to learn from

Quality Indicators

Each generated section shows:

• Completeness - Requirements addressed
• Confidence - AI confidence in content
• Review flags - Items needing human attention

Regenerating Sections

If a section doesn't meet your needs:

1. Click Regenerate on the section
2. Adjust parameters:
   • Change emphasis areas
   • Modify tone or length
   • Add specific instructions
3. Generate again
4. Compare versions and choose the best

Using Prompt Guidance

Influence generation with specific instructions:

Generate technical approach emphasizing:
- Our cloud-native architecture experience
- Zero-downtime deployment capabilities
- Federal security compliance expertise

The AI incorporates your guidance while maintaining structure.

Generation Credits

Proposal generation uses AI credits:

• Credits based on section count and length
• View credit balance in Settings
• Purchase additional credits as needed
• Enterprise plans include unlimited generation

Troubleshooting

Generation Takes Too Long

• Large documents may take several minutes
• Check your internet connection
• Try generating fewer sections at once

Low Quality Output

• Ensure complete capability profile
• Check that analysis has good coverage
• Add more detail to capability matches
• Use refinement to improve specific areas

Missing Content

• Verify all requirements are extracted
• Check capability matching is complete
• Add manual notes for unique requirements

Advanced Generation Features

Context-Aware Generation

The AI analyzes multiple data sources to create tailored content:

From Bid Analysis

• Extracted requirements and their categories
• Mandatory vs. optional requirements
• Compliance status for each requirement
• Technical complexity scoring
• Deadline and submission requirements

From Company Profile

• Core capabilities and service offerings
• Past performance and case studies
• Team member qualifications and certifications
• Technology stack and methodologies
• Certifications and security clearances
• Facilities and infrastructure

From Opportunity Data

• Agency name and procurement type
• Contract value and duration
• Evaluation criteria and weightings
• Incumbent information (if available)
• Market intelligence

Industry Best Practices

• Government proposal standards (FAR, DFARS)
• Winning proposal structures
• Compliance language templates
• Common evaluation criteria

Intelligent Section Selection

The AI recommends which sections to include based on:

1. RFP Type Detection

   • Federal government (FAR-based)
   • State/provincial government
   • Local/municipal government
   • Commercial technical
   • Commercial services
   • Construction/facilities
   • IT/Software development
   • Consulting/professional services

2. Requirement Analysis

   • Security requirements → Includes Security Plan
   • Transition mentioned → Includes Transition Plan
   • Small business goals → Includes Small Business Plan
   • Innovation requested → Includes Innovation section

3. Evaluation Criteria

   • High weight on past performance → Expands Past Performance section
   • Technical approach emphasized → Expands Technical Approach
   • Management focus → Includes detailed Management Plan

Multi-Pass Generation Strategy

Cothon uses a sophisticated multi-pass approach to maximize quality while minimizing cost:

Pass 1: Structure & Outline

• Analyzes requirements and creates section outlines
• Identifies key themes and win strategies
• Maps requirements to appropriate sections
• Determines optimal content allocation

Pass 2: Content Generation

• Generates detailed content for each section
• Ensures requirement coverage
• Incorporates company capabilities
• Maintains consistent tone and voice

Pass 3: Cross-Section Integration

• Ensures consistency across sections
• Eliminates redundancy
• Verifies requirement traceability
• Checks for contradictions

Pass 4: Quality Enhancement

• Improves clarity and readability
• Strengthens value propositions
• Adds quantified benefits where possible
• Polishes executive-level messaging

Generation Strategies

Full Proposal Generation

Generate all sections at once for new RFPs:

Best for:

• New opportunities with no similar past proposals
• First-time bidding to an agency
• Complex RFPs requiring comprehensive response

Incremental Generation

Generate specific sections as needed:

Best for:

• Updating existing proposals with new sections
• Testing different approaches for key sections
• Focusing on high-value sections first

Template-Based Generation

Start from a template, then customize:

Best for:

• Similar opportunities to past wins
• Recurring procurements (IDIQs, recompetes)
• Standard service offerings

Hybrid Approach

Combine template boilerplate with fresh generation:

1. Use template sections for stable content (company overview, certifications, facilities)
2. Generate fresh content for RFP-specific sections (technical approach, understanding, pricing)
3. Manually edit and refine as needed
4. Best of both worlds: speed + customization

Prompt Guidance & Instructions

Influence generation with specific instructions to align output with your strategy:

Basic Prompt Guidance

Add instructions in the "Additional Guidance" field:

Emphasize our cloud-native architecture experience
Highlight the team's federal government expertise
Mention our zero-downtime deployment track record
Address the agency's modernization goals

The AI incorporates your guidance while maintaining professional structure and compliance.

Advanced Prompt Techniques

Requirement-Specific Emphasis

For requirement 3.2.1 (system availability):
- Reference our 99.99% uptime in past 3 contracts
- Explain redundancy and failover architecture
- Quantify downtime cost avoidance

Tone Customization

Use formal, traditional government language
Avoid marketing jargon
Be specific and quantified rather than general
Match the conservative tone of the SOW

Strategic Positioning

Win themes:
1. Proven experience with this exact system
2. Deep understanding of agency mission
3. Continuous improvement track record
4. Cost-effective innovation

Emphasize these themes throughout all sections.

Competitive Differentiation

Differentiate from incumbent by highlighting:
- Our DevSecOps automation vs. their manual processes
- Our proactive monitoring vs. reactive support
- Our training program vs. their knowledge silos

Section-Specific Prompts

You can provide different guidance for different sections:

Executive Summary

Lead with mission understanding
Emphasize incumbent knowledge transfer advantage
Keep to 2 pages maximum
Include compelling opening hook about agency priorities

Technical Approach

Structure by requirement category (performance, security, usability)
Include architecture diagrams (placeholder references)
Explain technical decisions and trade-offs
Map to evaluation criteria throughout

Past Performance

Lead with most similar contract (Army CHESS)
Include client reference contact info
Quantify metrics: uptime, response time, cost savings
Highlight similarity to this RFP in table format

Generation Quality Control

Built-In Validation

Every generated section undergoes automatic validation:

Requirement Coverage Check

• Verifies all mandatory requirements are addressed
• Flags requirements with weak or missing coverage
• Suggests sections to expand or regenerate

Compliance Validation

• Checks for prohibited language (guaranteed, best, etc.)
• Verifies required elements are present
• Validates page limit compliance (if specified)

Quality Scoring

• Readability analysis (Flesch-Kincaid, Gunning Fog)
• Clarity and conciseness metrics
• Professional tone consistency
• Technical accuracy flags

Traceability Matrix

• Maps each requirement to proposal sections
• Identifies orphaned requirements
• Highlights redundant coverage

Review Flags

Generated sections may include review flags:

Quality Improvement Loop

1. Generate initial content
2. Review quality scores and flags
3. Refine weak sections using AI refinement
4. Validate improvements
5. Repeat until quality threshold met

Target quality thresholds:

• Overall score: 75+ for initial submission
• Completeness: 100% (all requirements addressed)
• Compliance: 95%+ (minor issues acceptable)
• Readability: 60-70 (appropriate for government)

Performance & Optimization

Generation Speed

Average generation times by section:

Full proposal: 15-25 minutes for 18 sections (standard length)

Cost Optimization

Generation costs scale with content length and complexity:

Cost-Effective Approaches

1. Start with concise generation, expand selectively
2. Use template sections for boilerplate content
3. Generate only changed sections when updating
4. Leverage multi-pass efficiency (automatic)

Credit Usage

• Small section (300-500 words): ~10-15 credits
• Standard section (600-1000 words): ~20-30 credits
• Large section (1200-2000 words): ~40-60 credits
• Full proposal (standard): ~400-600 credits

Enterprise plans include unlimited credits.

Parallel Generation

Sections generate in parallel for faster results:

• Technical sections (Technical Approach, Methodology, etc.) generate simultaneously
• Management sections generate in parallel
• Dependencies are respected (Exec Summary generates after others)
• Progress updates every 5 seconds

You can start reviewing and editing completed sections while others are still generating.

Troubleshooting Common Issues

Generation Takes Too Long

Problem: Generation exceeds expected time

Likely Causes:

• Large document with many requirements (500+ pages)
• Comprehensive length setting for all sections
• Network connectivity issues
• High platform load

Solutions:

1. Generate sections in smaller batches
2. Start with concise length, expand later
3. Check internet connection stability
4. Try during off-peak hours
5. Contact support if consistently slow

Low Quality Output

Problem: Generated content is generic or inaccurate

Likely Causes:

• Incomplete company profile
• Thin bid analysis (requirements poorly extracted)
• Missing capability matches
• Vague generation prompts

Solutions:

1. Update company profile with detailed capabilities
2. Re-run bid analysis with better extraction
3. Improve capability matching scores
4. Provide specific prompt guidance
5. Use AI refinement to improve weak sections

Missing Requirements

Problem: Some RFP requirements not addressed

Likely Causes:

• Requirements not extracted during bid analysis
• Requirements categorized incorrectly
• Section selection excludes necessary sections
• Requirements in non-standard format

Solutions:

1. Review bid analysis for extraction completeness
2. Manually add missing requirements
3. Generate additional sections as needed
4. Use custom sections for unique requirements
5. Check compliance matrix for gaps

Incorrect Technical Details

Problem: AI generates wrong technical information

Likely Causes:

• Missing technical data in company profile
• AI hallucination (inventing facts)
• Misinterpretation of requirements

Solutions:

1. Always review technical sections for accuracy
2. Update company profile with correct technical details
3. Provide specific prompts with correct information
4. Edit generated content to fix errors
5. Regenerate with more specific guidance

Inconsistent Tone

Problem: Sections have different voices or styles

Likely Causes:

• Different sections generated at different times
• Conflicting prompt guidance
• Mixed template and generated content

Solutions:

1. Regenerate all sections with consistent settings
2. Use bulk refinement to harmonize tone
3. Provide single comprehensive style guide for all sections
4. Edit manually for voice consistency

Exceeds Page Limits

Problem: Generated content exceeds RFP page limits

Likely Causes:

• Comprehensive length setting when concise needed
• Too many optional sections included
• Redundant content across sections

Solutions:

1. Regenerate with concise length setting
2. Remove optional sections
3. Use AI refinement with "reduce length by X%"
4. Edit manually to trim content
5. Check export preview early to catch overruns

Best Practices for Success

Before Generation

✅ Complete comprehensive bid analysis

• Extract all requirements
• Categorize requirements accurately
• Complete capability matching
• Identify must-win themes

✅ Update company profile

• Add recent past performance
• Update team member information
• Refresh certifications and capabilities
• Include quantified achievements

✅ Review RFP thoroughly

• Note special instructions
• Identify page limits
• Check formatting requirements
• Note evaluation criteria weightings

✅ Plan proposal strategy

• Determine win themes
• Identify differentiators
• Plan value proposition
• Assign section owners (if team)

During Generation

✅ Start with required sections to ensure core compliance ✅ Use specific prompts for better targeted output ✅ Monitor quality scores as sections complete ✅ Review immediately - easier to regenerate now than later ✅ Take notes on sections needing refinement

After Generation

✅ Validate technical accuracy with subject matter experts ✅ Check compliance matrix for complete requirement coverage ✅ Personalize content with company-specific voice ✅ Add supporting evidence (charts, tables, references) ✅ Get peer review before finalizing

For Best Results

✅ Iterate on weak sections - regenerate with better prompts ✅ Use refinement tools to polish content ✅ Maintain consistent style across all sections ✅ Back up frequently - use version history ✅ Test export early to catch formatting issues

Frequently Asked Questions

Next Steps

• Multi-Section Proposals - Understand each section in detail
• AI Refinement - Improve generated content
• Exporting - Prepare for submission
• Templates - Save generation settings for reuse
• Company Profile - Optimize your profile for better generation