Module 44Stage: Research → Analyze90 min

AI Research & Analytics

Use AI to accelerate research while flagging what needs verification.

1
Lesson 1

AI Research

Objective

Use AI to accelerate research while flagging what needs verification.

Teach
AI can quickly summarize a topic or synthesize multiple sources, but should be explicitly asked to flag uncertain or unverifiable claims rather than presenting everything with equal confidence.
Real-World Example
Asking AI "what do you know for certain vs. what should I verify" produces a more useful, honestly-flagged research summary.
Common Mistake
Treating an AI research summary as equally reliable throughout, when parts of it may be far less certain than others.
Practical Exercise

Ask an AI tool to research one topic and explicitly flag what needs independent verification.

Lesson Checkpoint

AI research is most useful when it

2
Lesson 2

Competitor Analysis (AI-Assisted)

Objective

Use AI to speed up the competitor research from Module 3 without losing accuracy.

Teach
AI can quickly summarize a competitor's stated positioning and recent content patterns, but you should verify current claims (pricing, features) directly on the competitor's own site before using them.
Real-World Example
KoraSpace's own **competitor marketing feature** (Section 5.4) checks the best-performing competitor content in a niche and generates original, inspired ideas — never copies.
Common Mistake
Using AI-summarized competitor information without a final check against the competitor's live site.
Practical Exercise

Use AI to summarize one competitor's positioning, then verify the key claims directly.

Lesson Checkpoint

AI-assisted competitor analysis should always be followed by

3
Lesson 3

Audience Analysis (AI-Assisted)

Objective

Use AI to help synthesize audience research patterns, not to invent them.

Teach
AI can help spot patterns across real customer research you've already gathered (Module 3) — it should never fabricate audience insights not grounded in real data.
Real-World Example
Feeding AI a set of real customer interview notes to help spot a recurring pattern is valid; asking AI to "describe our audience" with no real data behind it risks fabrication.
Common Mistake
Asking AI to generate audience insights from nothing, then treating the plausible-sounding output as real research.
Practical Exercise

Feed AI real research notes you've gathered and ask it to identify patterns, rather than asking it to invent an audience profile.

Lesson Checkpoint

AI audience analysis is trustworthy when it's based on

4
Lesson 4

Trend Analysis (AI-Assisted)

Objective

Use AI trend tracking as a starting signal, confirmed by your own judgment.

Teach
AI trend tools (like KoraSpace's own AI Trend Tracker, Section 5.4) can surface what's trending in a niche quickly — but relevance to your specific brand still needs human judgment before jumping on a trend.
Real-World Example
A trending format might not fit a serious, B2B brand voice even if it's genuinely trending in the broader niche.
Common Mistake
Jumping on every AI-surfaced trend regardless of brand fit.
Practical Exercise

Take one AI-surfaced trend and judge whether it genuinely fits your brand voice.

Lesson Checkpoint

AI-surfaced trends should be

5
Lesson 5

Research Verification

Objective

Build a habit of verifying any AI research output that will inform a real decision.

Teach
Before acting on an AI research summary, ask: is this specific claim checkable, and have I checked it? — this single habit prevents most AI research errors from reaching publication.
Real-World Example
A specific statistic in an AI summary should be traced to its original source before being quoted publicly.
Common Mistake
Publishing AI-sourced statistics or claims without ever tracing them back to an original source.
Practical Exercise

Pick one AI-generated claim from this module and trace it to a verifiable source (or note that you couldn't).

Lesson Checkpoint

Before acting on AI research, you should ask

Deepen Your Knowledge
  • •Reuters Institute / journalism verification guides (general fact-checking principles)
  • •Anthropic documentation — model limitations and verification guidance
Module Checkpoint Assessment

Test Your Mastery of Module 44

5 questions · 70% passing threshold required