Komo Search

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What is Komo Search & Research?

• Inline Source Citations - Every statement backed by sources directly embedded in text
• Fact-Check Sidebar - See exact quotes from sources that support each claim
• Multiple Research Corpus - Choose from specialized knowledge bases for different needs
• Deep Research Mode - Comprehensive multi-source analysis for complex questions
• Multi-Model Support - Select AI models optimized for your specific use case

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The Komo Difference: Verifiable Fact-Checking

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The AI Hallucination Problem

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Komo’s Solution: Transparent Source Attribution

• Inline Citations - Source markers embedded directly in responses
• Fact-Check Sidebar - Full transparency into where information comes from
• Direct Quotes - See the exact text from sources that support each claim
• Clickable References - Jump directly to source pages for verification

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How Fact-Checking Works

• Text flows naturally with small citation markers
• Click any cited claim to see supporting evidence
• Multiple sources cited throughout answer

• Displays direct quotes from sources
• Shows exact text that supports each claim
• Links to original source pages
• Organized by relevance to different parts of answer

Vincent van Gogh (1853–1890) was a Dutch Post-Impressionist painter ¹
widely regarded as one of the greatest and most influential figures in
Western art history. He began painting relatively late, at age 27,
and in just over a decade created about 900 paintings and 1,100
drawings ², developing a unique style characterized by vivid colors,
expressive brushwork, and emotional intensity ¹.

Van Gogh was born in Zundert, Netherlands, the son of a Protestant
pastor. Early in life, he worked in art dealing but soon turned to
painting ³, influenced by Dutch masters like Rembrandt and French
painters such as Jean-François Millet and Camille Corot ².

┌──────────────────────────────────────────────┐
│ "Van Gogh started his artistic career       │
│  rather late, beginning at age 27. In the   │
│  decade that followed he created an          │
│  astonishingly large body of work,           │
│  consisting of some 900 paintings and 1,100  │
│  drawings."                                  │
│                                              │
│  📄 Vincent van Gogh | Paintings, Starry    │
│     Night, Sunflowers, Self ... - Britannica│
│     britannica.com                           │
└──────────────────────────────────────────────┘

┌──────────────────────────────────────────────┐
│ "Over the next decade he was employed in    │
│  various ways, including as a lay preacher. │
│  By 1883 he had started painting, and in    │
│  1885-6 he attended the academy in Antwerp  │
│  where he was impressed by Japanese prints  │
│  and by the work of Rubens."                │
│                                              │
│  📄 Vincent van Gogh (1853–1890) | National │
│     Gallery, London                          │
│     org                                      │
└──────────────────────────────────────────────┘

• ✅ Verify Claims Instantly - Click any statement to see supporting evidence
• ✅ Catch Errors - Identify when AI misinterprets sources
• ✅ Deep Dive - Follow citations to original articles for full context
• ✅ Build Trust - Know information is grounded in real sources, not generated
• ✅ Professional Work - Suitable for research, analysis, decision-making

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Multiple Research Corpus

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Available Corpus Types

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1. Web Search (Default)

• General knowledge questions
• Current events and news
• Product research and comparisons
• Company information
• Industry trends

• “What are the latest developments in AI regulation?”
• “Compare top 5 project management tools for remote teams”
• “Who are the main competitors in the enterprise SaaS space?”

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2. Academic Research

• Literature reviews
• Scientific research background
• Technical concepts and methodologies
• Peer-reviewed findings
• Academic citations

• “What does recent research say about large language model reasoning capabilities?”
• “Summarize current academic understanding of quantum computing applications”
• “What are the most cited papers on transformer architecture?”

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3. Social Sentiment

• Brand perception research
• Product feedback analysis
• Trend identification
• Competitive sentiment
• Public opinion research

• “What are people saying about the new iPhone on social media?”
• “How is Tesla’s brand perceived compared to traditional automakers?”
• “What are common complaints about project management software?”

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4. News Trends

• Breaking news and updates
• Industry developments
• Market movements
• Company announcements
• Press coverage analysis

• “What are the latest merger announcements in fintech?”
• “Summarize this week’s AI industry news”
• “What did the Fed announce in their latest meeting?”

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5. Video Content

• Tutorial and how-to research
• Conference talks and presentations
• Expert interviews
• Product demos and reviews
• Educational content

• “Find YouTube tutorials on building Chrome extensions”
• “What are the best talks on product management from Y Combinator?”
• “Show me product demos of AI coding assistants”

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6. Blog Publications

• Industry thought leadership
• Technical blog posts
• Company engineering blogs
• Deep-dive analyses
• Expert perspectives

• “What are engineering teams saying about microservices architecture?”
• “Find blog posts about fundraising strategies for B2B SaaS”
• “What are best practices for API design from tech companies?”

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When to Use Deep Research

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Quick Search (Default)

• Need answer in under 10 seconds
• Question is straightforward
• Checking basic facts
• Quick clarifications

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Deep Research (⚡ Deep Search)

• Complex questions requiring synthesis
• Comparing multiple perspectives
• Comprehensive research needed
• Making important decisions
• Need exhaustive coverage

• “Compare the pros and cons of React vs. Vue for enterprise applications”
• “What are the best practices for implementing zero-trust security?”
• “Analyze the competitive landscape for AI-powered code assistants”

• Analyzes dozens of sources
• Identifies contradicting viewpoints
• Synthesizes comprehensive answer
• Provides balanced perspective
• Cites all major perspectives

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Choosing the Right AI Model

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Model Selection Guide

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When to Switch Models:

• Professional business research
• Detailed analytical reports
• Strategic planning research
• Writing that requires nuance

• Complex technical questions
• Code-related queries
• Creative problem-solving
• Multi-step reasoning

• Fast general research
• Quick fact-checking
• High-volume queries
• Multimodal content (images, video)

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Real-World Use Cases

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Use Case 1: Competitive Intelligence

"Compare Notion, Airtable, and Monday.com for project management.
Include pricing, key features, target customers, and recent updates."

• Corpus: Web Search
• Mode: Deep Research
• Model: Claude

• Searches across company websites, review sites, Reddit discussions
• Extracts pricing from each platform
• Compares feature sets
• Identifies target customer segments
• Checks recent product announcements

• Comprehensive comparison table
• Pros/cons for each platform
• Pricing breakdown with citations
• Recent updates from each company
• Every claim linked to verifiable source

• Direct quote from Notion pricing page
• Reddit thread discussing Airtable limitations
• TechCrunch article on Monday.com funding
• User reviews from G2 and Capterra

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Use Case 2: Investment Research

"Analyze the AI coding assistant market. Who are the major players,
what's their differentiation, funding status, and market trends?"

• Corpus: Web Search + Academic Research
• Mode: Deep Research
• Model: GPT-4

• Identifies major players (GitHub Copilot, Cursor, Replit, etc.)
• Researches each company’s positioning
• Finds funding announcements
• Reviews academic papers on code generation
• Analyzes market size and trends

• Market landscape overview
• Company profiles with funding data
• Technical differentiation analysis
• Growth trends and projections
• Academic research context

• Crunchbase for funding data
• Company blogs for product announcements
• arXiv papers on code LLMs
• Industry reports on market size

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Use Case 3: Product Launch Research

"What are people saying about AI agents for business automation?
What are common pain points with current solutions?"

• Corpus: Social Sentiment + Blog Publications
• Mode: Deep Research
• Model: Claude

• Analyzes Twitter/Reddit discussions
• Reviews blog posts from users
• Identifies recurring themes
• Extracts pain points
• Summarizes sentiment

• Common pain points ranked by frequency
• Sentiment analysis (positive/negative themes)
• User quotes from social media
• Feature requests from discussions
• Competitive dissatisfaction areas

• Direct tweets from frustrated users
• Reddit comments explaining issues
• Blog posts with detailed pain points
• Every claim traceable to actual user feedback

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Use Case 4: Technical Implementation Research

"What are the trade-offs between microservices and monoliths for a
B2B SaaS application? Include engineering blog perspectives."

• Corpus: Blog Publications + Academic Research
• Mode: Deep Research
• Model: GPT-4

• Finds engineering blogs from Uber, Netflix, Stripe, etc.
• Locates academic papers on distributed systems
• Identifies real-world case studies
• Compares trade-offs
• Synthesizes balanced perspective

• Comprehensive trade-off analysis
• Real company experiences (successes and failures)
• Technical considerations
• When to choose each approach
• Performance and scalability data

• Netflix TechBlog on microservices journey
• Shopify blog on monolith challenges
• Academic papers on distributed systems
• Conference talks from industry leaders

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Use Case 5: Market Trend Analysis

"What are the emerging trends in enterprise AI adoption?
Focus on the last 6 months."

• Corpus: News Trends + Academic Research
• Mode: Deep Research
• Model: Claude

• Reviews recent news articles
• Checks industry reports
• Analyzes academic publications
• Identifies recurring themes
• Synthesizes trend analysis

• Top 5 emerging trends with evidence
• Timeline of developments
• Expert perspectives
• Adoption data where available
• Future projections

• WSJ article on enterprise AI spending
• Gartner report on AI adoption
• MIT Technology Review analysis
• Company press releases
• Conference presentations

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Best Practices

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Formulating Effective Queries

• ✅ “What are the security best practices for multi-tenant SaaS applications?”
• ❌ “Tell me about security”

• ✅ “For a Series A startup with 20 employees, what are the top 3 CRM options?”
• ❌ “What CRM should I use?”

• ✅ “Give me a comprehensive comparison of…” (triggers deep research)
• ✅ “Quick overview of…” (triggers fast search)

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Using Corpus Effectively

• First query: “What does research say about remote team productivity?”
• Second query: “What do engineering teams report about remote work?”

• Factual → Web Search
• Scientific → Academic Research
• Opinions → Social Sentiment
• Recent → News Trends
• How-to → Video Content + Blog Publications

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Leveraging Fact-Check Sidebar

• Critical business decisions
• Data you’ll present to executives
• Claims that seem surprising
• Information you’ll act on

• Need more context than quote provides
• Want to see full methodology
• Checking publication date
• Verifying authority of source

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Model Selection Strategy

• Answer seems shallow, need deeper analysis
• Working on technical/code-related research
• Need creative problem-solving

• Running many queries, want faster responses
• Doing quick fact-checking
• Working with multimodal content

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Common Questions