Wisma AI's Individual Profile Analysis
vs OpenAI's Deep Research
for Stakeholder Research Work
Overview
Wisma AI – Individual Profile Analysis
A curated, quote-first dossier on a named person, built from five years of news coverage. Every insight is anchored to direct, timestamped quotations with full provenance, enabling reliable stance-over-time comparisons (e.g., before/after a role change) and audit-ready analysis.
• Precision-focused • Audit-ready • Timestamped
OpenAI Deep Research on Individual
A fast, search-driven synthesis about a person based on web results. Useful for quick orientation and iterative exploration, but accuracy and time framing depend on what the search surfaces, which can mix commentary with facts and may not reflect original, dated statements by the individual.
• Speed-focused • Variable accuracy • Mixed content
Choose the right tool for your needs
Pick Wisma AI when:
The output goes to leadership, regulators, investors, or media, or when you need time-based comparisons and zero ambiguity on who said what.
Use Deep Research when:
You need speed, idea generation, or low-stakes orientation before committing resources.
The Difference is in the Details
Wisma AI – Individual Profile Analysis
Direct quotes
with exact source citations for every claim
Audit-ready documentation
that withstands scrutiny
Multi-source verification
across 200+ premium databases
Professional timeline reconstruction
with verified dates
Risk flags
for potential reputational issues
Defensible methodology
for legal and compliance teams
OpenAI – Deep Research
Summaries
without direct source verification
No audit trail
for fact-checking or legal defense
Limited source diversity
- primarily web scraping
Potential hallucinations
in biographical details
No risk assessment
or compliance flagging
Generic methodology
unsuitable for due diligence
Frequently Asked Questions
Common questions about our analysis approach
1
"Isn't Deep Research good enough if it cites sources?"
Citations help, but they often cite secondary commentary or misaligned dates. For who-said-what-when, you need first-party quotes with publication timestamps.
2
"Manual review slows things down."
True; it's the trade-off for audit-grade provenance. Wisma prioritizes accuracy over speed when the stakes are high.
3
"Couldn't we just prompt Deep Research better?"
Prompting can't fix timestamp misattributions due to indexing or SEO bias in source selection. One cannot compute time-series narrative changes from noisy, commentary-heavy snippets.
Side-by-side Comparison
Detailed feature comparison across all dimensions
Dimension
Wisma AI – Individual Profile Analysis
OpenAI - Deep Research
Source corpus
Curated, broad news footprint over 5 years; multi-market, multi-outlet
Web search results; practical coverage
often limited to top-ranked pages (~10)
Unit of analysis
Direct quotes attributed to the
individual, each timestamped by
original publication
Mixed and less granular: articles, commentary, summaries about the person; may conflate journalist opinions with the subject’s views
Factual fidelity
High—pulls only reported quotations; manual review reduces misattribution
Variable—depends on source quality and ranking; secondary commentary often blended in
Provenance
Full citation trail for every quote and analytic claim
Citations to surfaced pages, but
synthesis may overgeneralize from few sources
Temporal accuracy
Publication-date anchored; supports period-to-period comparisons (e.g., pre- vs post-appointment)
May use indexing/crawl dates; time
windows can be noisy or inaccurate
Change detection
Comparative analysis across accurate time periods (e.g., stance drift after role change)
No native longitudinal framing; requires manual prompt engineering
Accuracy of attribution to individual
High precision on the person's own words as extracted from his/her quotes
Precision of attribution affected by
commentary/noise
Bias/noise control
Editorial calibration + de-duplication; excludes paraphrases and third-party spin
Susceptible to SEO bias, recency bias, and opinionated takes
Auditability & reproducibility
Audit-ready: quote-level ID, source URL, date, outlet
Harder to reproduce identical runs as search engine rankings change
Speed
Slower (curation + human QA) |
Fast
Cost
Higher (bespoke curation and review)
Lower (bundled with subscription)
Best use cases
Executive/minister profiles, due diligence, comms strategy, policy tracking, investor relations, reputation & risk
Quick orientation, brainstorming, lead-gen for further research