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Fact vs. Fiction: Combating AI Hallucinations with Sourced Research

The Future of Bid Writing

Combat Hallucination with Better Source Tracking 

In today’s information-saturated world, validated, verified information is more critical than ever. The rise of AI-generated content has led to an explosion of unverified, unvalidated claims, fake news, deepfakes, and AI-fabricated reports — blurring the lines between fact and fiction. With misinformation more widespread than ever, organisations that rely on guesswork instead of evidence-based research risk reputational damage, compliance failures, and lost contracts. 

ChatGPT and other AI writing tools can generate content at lightning speed — but at what cost? Studies show ChatGPT can hallucinate at rates ranging from 3% to 40%, depending on the version and task. GPT-4 has a hallucination rate of approximately 3%, while GPT-3.5’s rate is around 40%. These hallucinations involve inventing facts, misattributing sources, and delivering plausible-sounding misinformation. When you’re crafting high-stakes proposals, tenders, and bids, unreliable research isn’t just embarrassing — it’s a deal-breaker. 

A £120M government contract lost because AI made up a statistic? 

A major consultancy firm blacklisted after submitting a proposal riddled with hallucinated claims?  

It could happen. Don’t let it be you!  

You wouldn’t build a skyscraper on a foundation of sand — so why build your proposals on AI-generated guesswork? 

A global defence company told us that they once had a Generative AI tool confidently tell them they provided snake-taming services. This is the problem with most AI writing tools: they make things up

Traditional Research: Slow, Manual, and Fragmented 

For decades, research has been a painstaking, manual process

Google Search: Endless tabs, fragmented sources, and time wasted filtering misinformation.  

Generic AI Tools: ChatGPT, Gemini, and other LLMs can’t verify their own claims.  

Manual Synthesis: Piecing together different reports, case studies, and industry insights takes too long

By the time you’ve fact-checked everything, your competitors – using AutogenAI – have already submitted their proposal. 

AutogenAI: The First AI Research Assistant Built for Bidding 

Enter AutogenAI’s Research Assistant.  

Unlike generic AI models, AutogenAI’s Research Assistant doesn’t just generate text — it verifies it. It pulls from your company knowledge base, previous proposals, and industry-approved sources, ensuring every insight is accurate, contextual, and evidence-backed. 

With the AutogenAI, you can: 

– Instantly source relevant, credible research to support your claims using Research Assistant.  

– Control the sources that you and your organisation rely on — no random AI guesswork.  

– Summarise complex studies into actionable insights with the Summarise tool.  

– Verify facts and prevent misinformation at scale.  

– Compare documents side-by-side with Extract, identifying key differences in seconds. 

How AutogenAI Outperforms Other AI Research Tools 

While tools like Perplexity AI and ChatGPT’s Deep Research feature aim to provide validated research, they have limitations: 

Perplexity AI: Ensures reliability by citing sources, but who controls those sources? They may not match your company’s expertise, industry needs, and compliance standards.  

ChatGPT (Standard): Produces fast responses but has no built-in verification, making it unreliable for proposal-critical research. 

ChatGPT Deep Research: Offers improved accuracy but still hallucinates. It can’t eliminate risk entirely — do you really want to take that chance?  

In contrast, AutogenAI is designed for proposal teams: 

Feature ChatGPT (Standard) ChatGPT Deep Research Perplexity AI AutogenAI Research Assistant 
Fact Checking  No source verification  Limited citation accuracy ✅ Cites sources, but sources are not controlled ✅ Sources are tracked, verified, and controlled 
Document Synthesis  No comparison tools  No comparison tools  No comparison tools ✅ Compares, contrasts, and directly highlights key differences 
Company Knowledge Integration  No internal data access  No internal data access  No internal data access ✅ Uses your Content Library to pull in past successful bids & research 
Industry Specific Accuracy  Hallucinates frequently  Still hallucinates at times  General knowledge only ✅ Uses your own approved sources & verified real-world data 

The choice isn’t ‘good research vs. bad research’ — it’s ‘good enough research vs. risk-free research built for proposal writing’. 

Case Study: How a Consulting Firm Transformed Its Proposal Research with AutogenAI’s Research Assistant 

A leading consultancy firm was struggling with time-consuming, manual research while preparing proposals for high-value contracts. Their team spent hours verifying data, sourcing references, and ensuring compliance with tender requirements. 

They had recently lost a significant contract due to an outdated reference in their submission. The evaluator flagged incorrect data, leading to disqualification. 

How AutogenAI’s Research Transformed Their Workflow 

The firm integrated AutogenAI’s Research Assistant into their workflow, with immediate results: 

Instantly Sourced Research: The Research Assistant pulled the latest data from approved sources, ensuring every claim in their proposal was verifiable and up-to-date.

Eliminated AI Hallucinations: Unlike ChatGPT or Perplexity AI, Research Assistant used the company’s Content Library and Document Library and provided verifiable, cited external sources, guaranteeing accuracy. 

Automated Side-by-Side Comparisons:They used Extract to compare documents, identifying discrepancies and gaps in research. 

Faster Compliance Checks: The tool flagged outdated statistics and unsupported claims, ensuring compliance. 

The Results 

Bid Research Time Reduced by 60%: Their team spent less time hunting for sources and more time crafting compelling narratives. 

Win Rate Improved by 25%: Submitting stronger, well-evidenced proposals led to more successful contracts. 

100% Source Transparency: Every claim was backed by traceable, verifiable sources, preventing disqualification. 

Stop Guessing. Start Winning. 

AI is changing how research is done — but not all AI is created equal. AutogenAI’s powerful tools don’t just generate content; they provide verifiable, evidence-backed insights. 

AutogenAI’s Research Assistant is the only AI-powered bid and proposal writing tool that interrogates your knowledge base and eliminates AI hallucination. 

You can’t afford to submit bids based on AI guesswork. Take control of your research — and your contract wins. Try AutogenAI’s Research Assistant today. 

March 19, 2025