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Day 5 of 28 Β· AI Challenge

AI for Research and Analysis

Research used to be one of those tasks that ate entire afternoons. You'd open 30 browser tabs, skim articles, copy-paste quotes into a doc, try to make sense of conflicting information, and end up with a messy document that still needed hours of organizing.

AI compresses that process from hours to minutes. Today you'll learn how to use AI for market research, competitor analysis, and trend spotting β€” the kind of research that directly impacts your bottom line.

Three types of research that make money

Not all research is created equal. Here are the three types that directly lead to income:

Market research β€” Understanding your industry, your customers, and the opportunities around you. This is how you find gaps to fill, niches to target, and trends to ride.

Competitor analysis β€” Knowing what your competitors charge, how they position themselves, and where they're weak. This is how you differentiate yourself and win deals.

Client preparation β€” Researching a specific person, company, or industry before a meeting or pitch. This is how you show up looking brilliant β€” and it's the fastest way to close higher-ticket deals.

A consultant who walks into a meeting knowing the client's last three quarterly earnings, their biggest competitor's strategy, and two industry trends that affect their business doesn't seem like a consultant. They seem like an insider. And insiders get hired.

Knowledge Check
Which type of research has the most direct impact on closing a deal?
A
Reading competitor reviews on social media
B
Academic research on AI technology
C
General industry news browsing
D
Client preparation β€” researching the specific person and company before a meeting
Showing up to a client meeting prepared with specific knowledge about their business, challenges, and industry signals that you're serious and invested. It builds instant credibility and is one of the most underused strategies in business. AI makes it take 15 minutes instead of 3 hours.

The research workflow

Here's the workflow that works best. It uses your AI tools in sequence:

Step 1 β€” Gather with Perplexity. Ask Perplexity for current data. It searches the internet and gives you sourced answers. This is your fact-finding step.

Step 2 β€” Analyze with Claude. Take the raw information and paste it into Claude. Ask it to identify patterns, compare options, find gaps, or draw conclusions. This is your thinking step.

Step 3 β€” Synthesize with ChatGPT. Take the analysis and turn it into a deliverable β€” a report, a slide outline, or talking points. This is your output step.

You can do all three steps in one tool, but using them together gives noticeably better results. Perplexity finds current data that ChatGPT and Claude might not have. Claude thinks more carefully about complex comparisons. ChatGPT formats the final output beautifully.

πŸ”
Perplexity
online
I'm preparing to pitch my marketing services to a mid-size e-commerce brand that sells premium pet food. What are the top 5 trends in the premium pet food market in 2025? Include market size data and growth rates if available.
Here are the top 5 premium pet food trends in 2025: **1. Humanization of pet food** Owners want ingredients they recognize. The "human-grade" pet food segment is growing at 12% annually. Market size: $8.5B in the US alone. **2. Subscription models dominate** 60% of premium pet food brands now offer subscription delivery. Customer lifetime value is 3x higher for subscribers vs. one-time buyers. **3. Functional ingredients** Probiotics, CBD, joint support β€” "wellness" pet food is the fastest-growing sub-category at 18% annual growth. **4. Sustainability packaging** 73% of premium pet food buyers say eco-friendly packaging influences their purchase decision (Packaged Facts, 2024). **5. DTC growth** Direct-to-consumer sales grew 25% year-over-year. Brands like The Farmer's Dog and Ollie are proving the model. Global premium pet food market: $32B (2025), projected $45B by 2028. Sources: Packaged Facts, Grand View Research, Pet Food Industry Magazine.
↻ Replay conversation

From raw data to competitive insight

Now here's where it gets powerful. You have the trends. Let's use that to analyze a specific competitor.

🧠
Claude
online
I'm pitching marketing services to a premium pet food brand. I've researched market trends (humanization, subscriptions, functional ingredients, sustainable packaging, DTC growth). Now I need to analyze their main competitor. The competitor is "The Farmer's Dog" β€” they're a DTC subscription brand for fresh, human-grade dog food. Based on what you know about their business, give me: 1. Their positioning strategy 2. Their pricing model 3. Three weaknesses I could highlight to my potential client 4. One thing my client could do differently to stand out
**The Farmer's Dog β€” Competitor Analysis** **Positioning Strategy:** They position on freshness and transparency. Their core message: "Real food, made for dogs." Heavy emphasis on human-grade ingredients, vet-designed recipes, and the emotional bond between pet and owner. Marketing is story-driven β€” customer testimonials, before/after health transformations. **Pricing Model:** Subscription-only. Personalized pricing based on dog breed, weight, and age. Typical cost: $2–$12/day per dog. Premium positioning β€” they don't compete on price, they compete on quality perception. **Three Weaknesses:** 1. *Price sensitivity* β€” At $200–$360/month, they lose price-conscious customers. No budget-friendly tier. 2. *Cat owners excluded* β€” Dogs only. The premium cat food market is growing 15% annually and they're leaving it entirely. 3. *Limited customization* β€” A few recipe options, but no add-ons for specific health needs (joint support, allergy-friendly, etc.) **Differentiation Opportunity:** Your client could own the "functional wellness" angle β€” personalized nutrition with health-specific add-ons (probiotics, joint care, coat health). The Farmer's Dog sells fresh food. Your client could sell *targeted health outcomes for your pet.*
↻ Replay conversation
Knowledge Check
Why is using Perplexity for research and Claude for analysis better than using just one tool?
A
It's not β€” one tool can do everything
B
Perplexity is newer so it must be better
C
Perplexity provides current, sourced data from the internet, while Claude excels at deeper analysis and reasoning over that data
D
Using two tools makes your work look more thorough
Perplexity's strength is real-time internet search with citations. Claude's strength is nuanced reasoning over complex information. When you feed Perplexity's current data into Claude for analysis, you get both accuracy and depth β€” something neither tool achieves alone.

The "show up brilliant" technique

Here's a technique that has landed people deals worth thousands of dollars: the 15-minute pre-meeting research sprint.

Before any important meeting β€” client call, job interview, investor pitch β€” spend 15 minutes with AI:

1. Ask Perplexity: "Tell me about [company name]. What do they do, who are their customers, and what challenges are they facing right now?"

2. Ask Perplexity: "What are the latest news stories about [company name] or their industry?"

3. Ask Claude: "Based on this information, what are three insightful questions I could ask in my meeting with their [CEO/Head of Marketing/etc.] that would show I understand their business?"

You now walk into the meeting with current knowledge, thoughtful questions, and the appearance of someone who did days of preparation. Most people show up and say "So, tell me about your company." You show up and say "I noticed your company just expanded into the European market β€” how has that shifted your marketing strategy?"

That's the person who gets the contract.

Knowledge Check
How long does the pre-meeting research sprint take?
A
About 15 minutes using AI tools in sequence
B
2–3 hours of thorough preparation
C
It depends on whether you have a paid AI subscription
D
30 seconds β€” just Google the company
Fifteen minutes is enough to gather company intel, industry context, and formulate smart questions. The old way β€” manually Googling, reading articles, taking notes β€” would take 2–3 hours for the same depth. AI makes thorough preparation accessible for every meeting, not just the big ones.

Research prompts that print money

Here are battle-tested research prompts you can start using today:

Before a sales call: "Research [company]. Tell me their main product, target audience, recent news, and biggest challenge. Then give me 3 questions to ask in our meeting that show I understand their business."

For pricing strategy: "What do [type of business] typically charge for [service]? Give me pricing ranges from budget to premium, and explain what justifies the premium tier."

For new business ideas: "What are 5 underserved niches in [industry] where demand is growing but supply is limited? Include market size estimates where possible."

For content planning: "What are the top 10 questions people in [target audience] are asking about [topic]? Include questions from Reddit, Quora, and industry forums."

Each of these would take 2–4 hours of manual research. With AI, they take 5–10 minutes.

Final Check
You have a sales call with a potential client tomorrow morning. What's the smartest way to prepare?
A
Spend the entire evening manually researching their company
B
Wing it β€” you know your stuff
C
Send the client a list of questions to answer before the call
D
Spend 15 minutes with AI: gather company intel with Perplexity, analyze it with Claude, and prepare smart questions
The 15-minute AI research sprint gives you more depth than hours of manual research. You'll know their business, their challenges, and their industry trends β€” all of which make you look prepared, professional, and worth hiring.
πŸ”¬
Day 5 Complete
"The person who shows up most prepared wins the deal. AI makes that person you β€” in 15 minutes."
Tomorrow β€” Day 6
Data and Spreadsheets with AI
Tomorrow you'll make AI do the spreadsheet work you've been avoiding.
πŸ”₯1
1 day streak!