The short answer
The best AI prompts for investors specify a role, a task, and a precise output format. This collection contains 25 copy-paste-ready prompts for September 2026, split into two distinct tracks: one for public-markets research (10-K analysis, earnings call summaries) and one for venture capital and private equity workflows (pitch deck screening, cap table review, LP update drafting).
AI assistants like Claude and ChatGPT can be powerful research partners, but only if you ask the right questions. Vague prompts get vague, often useless, answers. Specific, structured prompts that define your role, the context, and the desired output format are the key to unlocking real analytical leverage.
At ZEKAI, we review AI tools independently. Our goal is to find what actually works. For this guide, we’ve developed and tested prompts across the two major investing disciplines: public markets and private capital. The former focuses on analyzing existing data from public companies, while the latter is about evaluating new ventures. Both can benefit from AI, but they require entirely different lines of questioning. These prompts are designed for working professionals in the investment and venture capital field.
How to Write Investor Prompts That Work
The best prompts give the AI four things: a role, a task, context, and a format.
- Role: “Act as a skeptical venture capital analyst…” or “You are a retail investor focused on value…” This frames the AI’s perspective.
- Task: “…summarize the key risks from this 10-K…” or “…draft a polite rejection email to this founder.” Be direct and specific about the goal.
- Context: This is where you paste in the data—an article, a pitch deck summary, a list of portfolio holdings. The more specific the data, the better the output.
- Format: “…in a three-column markdown table,” or “…as a five-point bulleted list,” or “…in the style of a formal quarterly letter to limited partners.” If you don’t specify the format, the AI will choose one for you, and it’s rarely what you need.
Every prompt in this guide follows this structure. You can copy them directly and replace the bracketed text with your own data.
Public-Markets & Stock Research Prompts
These prompts are for analyzing public companies using financial statements, transcripts, and news. They are designed to speed up the work of equity analysts, retail investors, and portfolio managers.
Act as a financial analyst for a retail investor. I will provide a stock ticker. Your task is to provide a concise, one-page snapshot.
**Ticker:** `[Insert Ticker, e.g., AAPL]`
**Provide the following in a structured report:**
1. **Company Profile:** A brief, one-paragraph description of the business model.
2. **Key Financial Metrics (TTM):** Display in a markdown table: P/E Ratio, Forward P/E, PEG Ratio, P/S Ratio, P/B Ratio, Dividend Yield, and Market Cap.
3. **Recent Performance:** A bulleted list of key highlights from the most recent quarterly earnings report.
4. **Analyst Consensus:** Summarize the current consensus (e.g., Buy/Hold/Sell ratings) and average price target from publicly available information.
5. **Primary Risks:** List the top 3 risks cited in the most recent 10-K's "Risk Factors" section.
Cite the source for all financial data and analyst consensus.
[Paste full text of the 10-K filing here]
Act as a quantitative analyst specializing in natural language processing. I have pasted the full transcript of a company's latest earnings call.
**Your task is to perform the following analyses:**
1. **Sentiment Analysis:** Score the overall sentiment of the CEO's and CFO's prepared remarks (Positive, Neutral, Negative).
2. **Q&A Analysis:** Analyze the analyst Q&A section. Identify the top 3 topics analysts were most concerned with, based on question frequency and follow-ups.
3. **Guidance Change:** Compare the forward guidance given in this call to the guidance from the previous quarter's call (if available in the context). Note any significant changes or changes in tone.
4. **Keyword Frequency:** Identify the frequency of keywords like "headwinds," "tailwinds," "challenging," "strong," "macro," and "AI."
Present the output as a structured report with a clear heading for each section.
**Earnings Call Transcript:** `[Paste full transcript here]
You are a strategy consultant. Using the provided 10-K filings from two competitors, create a comparative analysis of their stated strategies, market positions, and risk factors.
**Competitor A 10-K:** `[Paste text of Company A's 10-K]`
**Competitor B 10-K:** `[Paste text of Company B's 10-K]`
**Generate a markdown table with the following rows:**
* Stated Business Strategy
* Primary Target Market
* Key Competitive Advantages (as described by them)
* Top 3 Cited Risk Factors
* Technology / R&D Focus
For each row, provide a concise summary for Competitor A and Competitor B side-by-side. Pull direct quotes where they are particularly insightful.
is undervalued/overvalued. I am providing you with 5 recent news articles and a press release. Synthesize this information into a coherent, one-page investment thesis.
**Articles:**
based on its most recent annual report and the provided market analysis report.
**Annual Report Text:**
Portfolio & Risk Management Prompts
These prompts are for managing a collection of assets, whether in a public-markets portfolio or a VC fund.
[List each holding with its current market value, e.g., VTI: $65,000; BND: $25,000; VXUS: $10,000]
[Provide a summary of your portfolio, e.g., "60% large-cap tech stocks, 20% long-duration government bonds, 10% real estate, 10% cash."]
[List stock tickers, e.g., GOOG, MSFT, NVDA, JPM]
Venture Capital & Private Equity Prompts
This is the workflow no other prompt list covers. These prompts are designed for the unique needs of VC and PE, from sourcing deals to managing the fund.
[Paste the company's one-paragraph summary, e.g., from their website or a platform like AngelList]
capital-backed companies have an 80% AI adoption rate, compared to just 45% for companies without institutional investors, according to Ramp’s April 2026 AI Index. Source: ramp.com
Act as an experienced VC partner. I am providing the summarized sections of a startup's pitch deck. Your job is to read it with a critical eye and identify potential red flags, inconsistencies, or areas that need to be challenged during a pitch meeting.
**Pitch Deck Summary:**
* **Problem:** `[Paste summary]`
* **Solution:** `[Paste summary]`
* **Team:** `[Paste team bios]`
* **Market Size (TAM/SAM/SOM):** `[Paste market sizing numbers]`
* **Financial Projections:** `[Paste summary of revenue projections]`
**Your Output:**
Generate a bulleted list of "Questions to Ask / Red Flags to Probe." For each point, state the potential issue and the specific question I should ask the founder. Example: "Red Flag: TAM seems inflated. Question: Can you walk me through the bottom-up math on your TAM calculation?
[Paste cap table summary, e.g., "Founders: 8M shares common. Seed Round: 2M shares preferred, $1.00/share, 1x non-participating liquidation preference, raised $2M. ESOP: 1.5M shares, 500k granted."]
, whose LinkedIn profile summary is below. Conduct a search of publicly available information (news articles, professional directories, social media) to create a brief background summary.
**Founder's LinkedIn Summary:**
You are the General Partner of a venture capital fund. It is the end of the quarter. Draft a quarterly update letter for our Limited Partners (LPs).
**Key Information for the Quarter:**
* **New Investments:** We made one new investment in "OmniAI," a company building AI for supply chains. Invested $2M from a $10M round at a $40M post-money valuation.
* **Portfolio Highlight:** "DataWeave" (an existing portfolio company) grew revenue by 50% QoQ and signed a major contract with a Fortune 500 company.
* **Portfolio Lowlight:** "Helio-Solar" is facing market headwinds and has revised its revenue forecast down by 20%.
* **Fund Performance:** TVPI is 1.2x, DPI is 0.1x.
* **Call to Action:** We are looking for experts in the logistics industry to help OmniAI.
**Your Task:**
Draft a professional, concise, and optimistic-but-realistic letter. Structure it with sections for:
1. A brief market commentary.
2. New investments.
3. Portfolio company highlights.
4. Challenges and portfolio management.
5. Fund performance summary.
6. A clear "Ask" or call to action for the LPs.
Which AI Model is Best for Investor Prompts?
The best model depends on the task. As of September 2026, the field is led by Anthropic’s Claude, OpenAI’s ChatGPT, and Perplexity. We recommend using the right tool for the job.
| Task | Recommended Model | Why | Free Tier (as of Sep 2026) |
|---|---|---|---|
| Reading Long Documents (10-Ks, Pitch Decks) | Claude 3.5 Sonnet | Larger context window (200K tokens) and superior performance in retaining facts from dense text. Its default writing style is more formal and professional. | Generous free tier with a rolling message limit (approx. 30-100 messages/day). |
| Data Analysis & Quick Research | ChatGPT (GPT-5.6) | The Advanced Data Analysis feature is unmatched for working with spreadsheets and generating charts. Web browsing is fast and integrated. | Unlimited text messages on the free tier; file upload and other features remain capped. |
| Cited Web Research & Verification | Perplexity | Designed as an “answer engine,” it excels at web-connected searches and always provides source citations, which is critical for verifying financial data. | Unlimited basic searches are free; advanced “Pro” searches are limited to 3 per day (reduced from 5 earlier in 2026). |
Swipe the table sideways →
Our workflow often involves using all three: Perplexity to find initial sources and data, Claude to perform a deep read and analysis of the source documents, and ChatGPT to draft communications or structure numerical data based on Claude’s findings. Tools like Juniper Square for fund administration and AngelList for deal flow management are increasingly integrating these AI models directly into their platforms.
The Biggest Mistake: How to Avoid Hallucinated Data
The single biggest risk in using AI for investment analysis is hallucination—when the AI confidently states a “fact” that is completely wrong. It can invent numbers, companies, and events.
Never, ever trust a number from a chatbot without verifying it from the primary source.
Here’s how to protect yourself:
- Demand Citations: Always add “Cite your sources with URLs” to your prompts. Tools like Perplexity do this by default.
- Use AI for Process, Not Facts: Use AI to *summarize* a 10-K you provide, not to *tell you* what’s in a 10-K it finds on its own. The former is a reading task; the latter is a recall task where errors can creep in.
- Triangulate: If an AI gives you a surprising insight, ask another AI model the same question. If they disagree, you’ve likely found a hallucination.
- Click the Link: If the AI provides a source, click it. Verify the data point is actually in the linked document.
AI is a powerful assistant for speeding up research and analysis. It is not a replacement for professional judgment or due diligence. Think of it as an incredibly fast, sometimes-unreliable analyst who needs constant supervision.
Can AI give me investment advice?
No. AI models are language tools, not licensed financial advisors. Their output is for informational and educational purposes only and should not be considered investment, financial, or legal advice. Every model, including those used for these prompts, will state this explicitly. Always conduct your own research and consult a qualified professional.
Which AI is best for analyzing stocks?
It depends on the task. For analyzing long financial documents like 10-Ks, Claude is generally preferred due to its large context window. For quick data lookups with sourced answers, Perplexity is excellent. For creating charts or analyzing spreadsheet data, ChatGPT’s Advanced Data Analysis feature is the strongest.
Can ChatGPT predict stock prices?
No. ChatGPT and other large language models cannot predict future stock prices. They have no access to non-public information and are not designed for prediction. They can analyze past data, summarize news, and identify trends, but their output is based on existing information, not a predictive crystal ball.
How are VCs using AI in 2026?
VCs are using AI across the entire investment lifecycle. For sourcing, tools help detect signals of promising startups before they are widely known. For due diligence, AI assists in analyzing pitch decks and data rooms. For portfolio management, it helps monitor company performance and draft updates for limited partners.
Are these prompts free to use?
Yes, the prompts themselves are free to copy and use. To run them, you will need access to an AI model like ChatGPT, Claude, or Perplexity. All of these services have free tiers that are sufficient for testing these prompts, though they come with usage limits.
Where to go next
Three routes, picked for what you just read.
Sources (20)
- Learnsignal, “Claude vs ChatGPT for Finance: Which AI Tool Should Finance Professionals Use?”, June 2026.
- ZDNET, “Is ChatGPT Free? Unlimited Chats and Plan Limits 2026”, August 2026.
- AI Here, “Is Perplexity AI Free? Free Plan Limits in 2026”, July 2026.
- Engadget, “ChatGPT: What’s free in 2026 and what isn’t?”, August 2026.
- PE Collective, “ChatGPT Free Tier 2026: What You Get and What’s Limited”, April 2026.
- Suprmind, “Perplexity Pricing 2026”, August 2026.
- Prime AI Solutions, “Moving Finance Workflows from ChatGPT to Claude: Guide”, April 2026.
- AI Toolbox, “ChatGPT Limits 2026: What Is Unlimited and What Still Caps”, February 2026.
- Agile36, “Claude vs ChatGPT 2026: The Definitive Guide for Enterprise Teams”, August 2026.
- Ramp, “Ramp AI Index April 2026 update”, April 2026.
- eesel AI, “Perplexity pricing in 2026: A complete guide for businesses”, June 2026.
- GlobalGPT, “Is Perplexity Free? Full Breakdown of the 2026 Free Plan”, December 2025.
- BentoML, “ChatGPT Usage Limits: What They Are and How to Get Rid of Them”, April 2026.
- The Crunch, “Claude Pricing 2026: Free vs Pro vs Team Plans Compared”, May 2026.
- Verdent Guides, “How to Use Claude AI for Free: All Options for Developers in 2026”, March 2026.
- Fello AI, “Claude Pricing 2026: Every Plan, API Cost, and Hidden Fee Explained”, August 2026.
- MoneyFlock, “Claude AI for Earnings Reports: Analyze Any 10-K Fast”, April 2026.
- ZEKAI Profession Hub, “AI for Investment & Venture Capital”, zekaiwork.com/professions/ai-investment-venture-capital/
- ZEKAI Tool Review, “Juniper Square”, zekaiwork.com/ai-tools/juniper-square/
- ZEKAI Tool Review, “AngelList”, zekaiwork.com/ai-tools/angellist/
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