AI Prompts for Product Marketers

If you're a product marketer, you've probably noticed how AI is reshaping your day-to-day work. Product Marketing teams are now using AI to craft messaging, analyze competitive landscapes, and fine-tune campaigns in a fraction of the time it used to take. While you might have tried basic prompts to generate content, there's a whole world of advanced techniques that can take your AI results to the next level.

Throughout this blog, we'll share AI prompts specifically designed for the challenges you face as a product marketer. We've done the heavy lifting for you by using Portkey's Prompt Engineering Studio to find prompts that actually work. We spent time iterating, testing, and fine-tuning each one to make sure they deliver the best possible results in real sales situations.

Messaging and Positioning AI Prompts

As product marketers, we all know that nailing your messaging and positioning is half the battle. Here are two advanced prompting approaches that can help you craft more compelling product narratives:

You are a senior product marketer at (), a . Your task is to craft a compelling value proposition for , targeting .

• Identify and analyze the core pain points of this audience.
• List three key differentiators of the product and align them with these pain points.
• Synthesize this into a concise, two-sentence value proposition that clearly communicates the product’s unique value.

What makes this work is that you're guiding the AI through a logical process—the same one you'd follow manually—from understanding pain points to identifying differentiators to crafting the final value prop.

[Product] is a [brief product description, e.g., "an AI gateway that optimizes LLM costs, enforces guardrails, and provides observability"]. Use the tree-of-thought method to explore different positioning angles for [product].
Consider three key messaging directions:

• Cost-effectiveness
• Performance
• Ease of Use

For each, generate:

• A compelling headline
• A concise one-liner summary
• A supporting evidence statement
  Ensure the messaging aligns with [target audience] and highlights [any specific competitive advantages or unique features].

Content Creation Prompts

Blog creation prompt

You are an experienced content strategist creating a blog post announcing [product update]. Use the attached [document type, e.g., "release notes/spec sheet"] as a reference.

• Outline the ideal blog structure in bullet points.
• Generate a detailed introduction that captures the reader's attention.
• Expand on the core feature in an engaging way, incorporating customer pain points and benefits.
• Suggest a compelling CTA that encourages sign-ups.
• Ensure the tone aligns with [brand voice or target audience] and clearly conveys the value of the update.

Here, we need to provide the AI provider with the right context with the prompt. This prompt can also be broken down to steps, feeding one step at a time as a prompt.

Social posts for features prompt

Given the product feature [feature], generate three high-performing Twitter posts optimized for engagement. Then, analyze each for:

• Engagement potential
• Clarity
• Brand voice consistency
  Select the best-performing tweet and refine it into a compelling LinkedIn post that should:
• Expand on the key insight in a conversational yet professional tone
• Try to Include a real-world example or supporting data if possible

A good idea would be to also share existing posts for formats, tone and reference for style. Accordingly new posts can be drafted, with edits needed before posting.

Sales Enablement and Competitor Analysis Prompts

These prompts help you arm your sales team with the right information when they're facing tough competition or objections.

Competitive analysis/Battlecard Prompt:

For competitive analysis, it’s good to use Deep Research (OpenAI/Gemini) to create better content

Create a battle card comparing [your product] with [competitor domain].

Identify Key Buying Criteria:

• Determine 3-5 key factors that drive customer decisions in this market (e.g., performance, ease of integration, cost-effectiveness, security, scalability).
• Conduct Deep Competitor Research:
• Analyze [competitor]’s positioning, strengths, and weaknesses.
• Evaluate its product differentiation, pricing strategy, recent updates, and go-to-market approach.
• Identify common customer pain points and reasons why users switch.
  Competitive Comparison Table:
  Structure insights into the following table format:

|[Feature/Criteria]|[Our Approach]|[Competitor’s Approach]|[Key Points]
|[Feature 1]|[Our value]|[Competitor’s value]|[Why we’re better]
|[Feature 2]|[Our value]|[Competitor’s value]|[Why we’re better]

Strategic Positioning Statement:
Craft a compelling one-liner that clearly differentiates [your product] from [competitor] based on research-backed insights.

Sales objection handling prompt

A prospect says: "[objection]".
Break down the objection step by step to uncover the core concern behind it. Consider:

• Is it a misunderstanding about [product]?
• Is it based on a competitor’s perceived advantage?
• Is it a pricing, performance, or integration concern?

Craft a persuasive response that:

• Acknowledges the concern to build rapport.
• Provides a clear, fact-based counterpoint addressing the objection.
• Reinforces [product]’s unique value with a compelling benefit or customer proof.
• Ends with a leading question to keep the conversation moving forward.

Example Output Format:
❌ Objection: "[Objection]"
🔍 Breakdown: "[Step-by-step reasoning]"
✅ Response: "[Persuasive counter + key benefits]"
🔄 Follow-up Question: "[Open-ended question to re-engage]"

This is effective as it first analyzes what's really behind the objection before crafting a response, helping your sales team understand the underlying concerns and address them directly rather than just delivering a generic counter-argument.

Best Practices for Getting Better Results from AI

Here are some practical tips to make your AI interactions more productive:

Break Complex Tasks into Clear Steps

When you need the AI to handle complicated marketing problems, guide its thinking process. Instead of asking for a complete competitor analysis in one go, walk the AI through the process: first identify key differentiators, then analyze market positioning, and finally synthesize the findings. This step-by-step approach leads to more thorough and useful outputs.

Be Specific About the Expert You Need

Rather than vague requests, tell the AI exactly what kind of expert you want it to emulate. Instead of "help me write better copy," try "as a B2B SaaS product marketer with 10+ years of experience in the cybersecurity market, help me explain zero trust architecture to financial services clients." The more specific you are about the expertise needed, the more relevant the output will be.

Refine Through Feedback Loops

Don't settle for first drafts. Take the AI's initial output and feed it back with additional guidance: "This messaging is too technical. Revise it for a business audience who cares about ROI, not technical specs." This iterative process can quickly transform generic content into marketing material tailored to your specific needs.

Request Structured Formats

When you need organized information, ask for it directly. Specify exactly how you want the information presented—whether that's a comparison table for competitive analysis, a bulleted list of key messages, or a structured framework for value propositions. This not only makes the output more usable but also helps the AI organize its thinking.

These advanced prompting techniques help you move beyond generic AI outputs to get messaging that resonates, content that converts, competitive insights that matter, and more targeted campaigns.

Try these prompts in your daily workflow, and check out Portkey if you're looking to manage your prompt engineering activities in one place. The real advantage comes from combining your product marketing expertise with AI's analytical power.