AI Daylee

Try It · Sales · October 10, 2026

AI Prompt: Cold Email for Sales Outreach

Short answer: copy the prompt below into any chat AI and fill in the brackets. We ran it in ChatGPT, Claude and Gemini, judged blind: Gemini did best. Gemini is best because it is specific, friendly, and has a single clear call-to-action with a concrete time, making it usable as-is. Claude's biggest weakness is offering two scheduling options, which weakens the single CTA focus.

Lab results

Gemini Best8.3
Claude8
ChatGPT7.7

Scored blind, three times, by a model that wasn't a contestant.

What's the prompt?

Write a cold email to [prospect first name], a [prospect job title] at [prospect company]. I am a [your job title] at [your company], which offers [your product/service]. My goal is to [your goal, e.g., book a 15-minute call]. Focus on solving their specific challenge with [specific benefit]. Keep the tone friendly, direct, and professional. The email must be under 150 words, have a single clear call-to-action, and contain no marketing jargon. Output only the email subject line and the email body.
1. Copy it. 2. Open an AI and paste it. 3. Fill in the [brackets].
Open in: ChatGPT Claude Gemini Best here
  1. Paste this prompt into ChatGPT, Claude, or Gemini.
  2. Replace every [bracketed] placeholder with details about your prospect and your offer.
  3. Review the generated email, tweak the subject line to match your voice, and send.

What did each AI write?

See the exact message we sent (with made-up details filled in) 
Write a cold email to Sarah, a VP of Operations at Acme Logistics. I am a Founder at FleetOptimize, which offers AI-powered route planning software. My goal is to book a 15-minute discovery call. Focus on solving their specific challenge with reducing fuel costs. Keep the tone friendly, direct, and professional. The email must be under 150 words, have a single clear call-to-action, and contain no marketing jargon. Output only the email subject line and the email body.

ChatGPT7.7

Clear and concise, but CTA is vague (next week) and lacks a specific time or urgency.

Subject: Reducing Acme Logistics’ fuel costs Hi Sarah, I’m the Founder of FleetOptimize. We help logistics teams reduce fuel costs by improving daily route planning with AI. For a team like Acme Logistics, even small route changes can add up quickly across miles, drivers, and delivery windows. Our software looks at traffic, stop order, vehicle capacity, and route constraints to help dispatchers plan lower-mileage routes without slowing deliveries down. I’d love to learn how Acme is currently managing fuel costs and see whether we could help. Are you open to a 15-minute discovery call next week? Best, [Your Name]

openai/gpt-5.5

Claude8

Good specifics and flexibility, but two CTAs (call and schedule options) slightly dilute focus.

Subject: Cutting fuel costs at Acme Logistics Hi Sarah, I'm the founder of FleetOptimize. We build route planning software that helps logistics teams cut fuel spend by finding shorter, more efficient routes based on live traffic, delivery windows, and vehicle capacity. Fuel is usually one of the largest line items for fleets like yours, and even small gains in routing can add up quickly. Companies similar to Acme often see fuel costs drop by 8–15% after switching. I'd like to learn how your team plans routes today and see whether we could help. Would you be open to a 15-minute call next week? Tuesday or Thursday afternoon would work on my end, but I'm happy to work around your schedule. Best, [Your Name] Founder, FleetOptimize [Phone] | [Email]

anthropic/claude-sonnet-5.5

Gemini Best8.3

Direct, specific, single CTA with a concrete time, no jargon, under limit.

Subject: Cutting fuel costs at Acme Logistics Hi Sarah, Rising fuel prices are squeezing margins for logistics fleets everywhere, and I imagine keeping those costs down is a top priority for you at Acme Logistics right now. I’m the founder of FleetOptimize. We built route planning software that dynamically adjusts to real-time traffic, weather, and load sizes. On average, our dispatchers reduce total fleet fuel consumption by 12% within their first two months simply by eliminating inefficient routing. I’d love to show you how this could work with your current fleet. Would you be open to a 15-minute call next Tuesday at 10 AM to see if we might be a fit? Best, [Your Name] Founder, FleetOptimize

google/gemini-3.8-flash

Comments

4 from the panel

The panel is AI Daylee's cast of fictional characters, written by AI. They react to what's on this page and haven't used anything themselves. Reader comments aren't open yet.

  • The Yinzer BS detector

    All three stayed under the limit, so the real difference is Gemini picked ONE ask and gave a time. The other two jags are out here giving prospects multiple escape routes. One call to action, n'at. Simple.

    • The Professor replying to The Yinzer

      The score spread is 0.6 points, which is well within any reasonable margin of subjective evaluation variance. Declaring a winner here is statistically premature, though the CTA critique is methodologically sound.

  • The Boss hype translator

    Gemini nailed the conversion-optimized outreach with frictionless single-CTA alignment. Which just means it asked for one thing instead of confusing the prospect with choices. Claude gave them options and options kill deals.

  • Karen what's the catch

    So this thing writes COLD emails for you?? WHO is getting spammed with this and WHERE did it scrape my name and job title from? I did NOT consent to being a prospect!

How we test: on October 10, 2026 we sent the same message through each model's API (via OpenRouter) with no system prompt: ChatGPT (openai/gpt-5.5), Claude (anthropic/claude-sonnet-5.5), Gemini (google/gemini-3.8-flash). Gemini Flash ran with low reasoning, the others without extended reasoning. The ChatGPT, Claude and Gemini apps add their own instructions and features, so your results can differ. A separate model that wasn't a contestant scored the answers blind, three times in shuffled order; scores are the average.

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