Saizen Personal Research Engine

Overview

I built the Personal Research Engine to answer a question before first contact: who is this person, really, and what is worth knowing before we speak? The system combines public records, professional history, company information, reviews, recent activity, behavioural signals, risks, similarities, and commercial opportunities into one evidence-backed report instead of twenty open tabs.

What It Delivers

• Deep personal and professional profile generation.
• Company context, leadership, activity, reviews, and recent public signals.
• Profile comparison to surface credible shared interests and similarities.
• Red-flag detection across legal, financial, reputational, and contextual signals where evidence is available.
• Identification of the five most relevant business pain points tied to source material.
• Direct mapping from pain points to suitable Saizen solutions and highest-ROI automation opportunities.
• A polished HTML report delivered by email and logged for reuse.

What I Did

• Designed and built the full research workflow and report architecture.
• Connected LinkedIn/profile input, search, scraping, company research, review sources, AI analysis, HTML generation, email delivery, and spreadsheet logging.
• Defined the report sections, evidence hierarchy, commercial interpretation, and output structure.
• Built logic that transforms disconnected public information into a usable pre-call intelligence asset.

Outcomes

• Sales preparation completed before outreach rather than during the first conversation.
• Research converted into trust, risk-awareness, pain-point clarity, and opportunity signals.
• A repeatable method for preparing high-context client conversations at scale.
• Less dependence on manually opening profiles, websites, reviews, and articles.

Proven Impact

• 300+ research reports generated.
• 880+ hours saved every month.
• Full report execution completed in under 30 seconds in the optimized version.
• Faster sales preparation with higher contextual trust and lower blind-outreach risk.

Why It Matters

• Eliminates blind pitching.
• Filters risky or weak prospects earlier.
• Turns research into actionable revenue signals.
• Protects time, credibility, and brand trust before the first call.