Claude vs ChatGPT: Which One Wins the 10-Task Marketing Test?

10 marketing tasks, one verdict: Claude wins ChatGPT.

One of the oldest questions in AI marketing:

Should you use ChatGPT or Claude?

Marketers ask this every week.

• Which one writes better?

• Which one thinks better?

• Which one helps me ship better marketing work?

I wanted a real answer. So I built a test.

→ Same 181-page source: Google’s Search Quality Evaluator Guidelines.
→ 10 real-world marketing tasks.
→ One judging rule: Would I ship this in a real project?

---

🏆 TLDR: My Test, Results & Conclusion

Test Environment

• ChatGPT 4o (public link) vs Claude Sonnet 4 (public link)

• Same input: Google’s Search Quality Evaluator Guidelines (181 pages)

• 10 marketing tasks → one after the other, in the same chat thread

• Judged on one question: Would I trust this output enough to ship it in a real marketing project?

Results

Overall Winner? Claude (5 wins, 4 losses, 1 tie)

---

🧠 Task 1: Summarization

Can it summarize dense content into key points a marketer can use?

Prompt:

Summarize the entire PDF in 5-7 key points that a marketer should know in order to improve their website’s SEO and content quality signals.

ChatGPT wins:

• Sharper targeting: each point maps to a clear SEO lever marketers can pull

• No overlap: covers distinct quality areas without repetition

• Built for rollout: Very usable as-is for team briefings or checklist planning

📋 Task 2: Concept Breakdown

Can it explain a key concept clearly for a marketer?

Prompt:

Explain in simple terms what E-E-A-T means, and how a marketer should think about it when optimizing their website.

ChatGPT wins:

• Goes one level deeper: defines E-E-A-T and maps each pillar to marketer actions

• Structured for execution: I really liked the table format which makes it scannable, easy on the eyes, and team-ready shareable

• Built for practitioners: gives a clear checklist mindset, not a conceptual overview

📖 Task 3: Comparison Reasoning

Can it reason and compare about two related concepts from a marketer’s lens?

Prompt:

Compare E-E-A-T and Reputation. How should a marketer weigh these when thinking about improving SEO outcomes?

Claude wins:

• Separates by growth stage: splits E-E-A-T vs Reputation by brand maturity

• Maps execution steps: I found the 12-month roadmap clear and practical for phased rollout

• Tailors by industry: adjusts weightings by business type (YMYL, B2B, ecommerce)

📍 Task 4: Prioritize / Rank Ideas

Can it surface what matters most for SEO impact?

Prompt:

Across the entire PDF, identify the top 5 factors that a marketer should prioritize improving on their site to drive better SEO outcomes. Rank them and explain why.

Tie:

• Covers core priorities: both highlight trust, content quality, and E-E-A-T as top drivers

• Partial blind spots: ChatGPT misses user intent (super important), Claude repeats YMYL and author expertise

• No clear edge: neither gives a fully complete or cleanly ranked top 5 list

Winner:
Tie

📝 Task 5: Extract Key Frameworks

Goal:

Can it structure knowledge into reusable audit or planning frameworks?

Prompt:

Extract any actionable frameworks or models from the PDF that a marketer can use to audit and improve their website."

Claude wins:

• Builds full audit system: includes step-by-step checklist with scoring and rating

• Covers all signal types: trust, E-E-A-T, YMYL, content, UX, and reputation

• Ready for ops: I can see this framework getting plug into real SEO audits without much rework

🗂 Task 6: Craft Action Plan

Can it turn dense guidelines into a clear plan a marketer can implement?

Prompt:

Craft a 10-step action plan a marketer can follow to align their website more closely with the guidelines in this PDF to improve SEO and perceived quality.

Claude wins:

• Adds tactical depth: breaks each step into specific, real-world actions marketers can take

• Covers execution layers: includes team roles, timelines, and expected outcomes

• Feels client-ready: I could hand this off to a content or SEO team without rewriting

📥 Task 7: Translate Into Prompt

Can it meta-operate to generate useful GPT prompts for marketers?

Prompt:

Write a GPT prompt that a marketer could use to analyze their website for alignment with the PDF’s key quality signals.

Claude wins:

• Builds full prompt scaffold: includes context fields, analysis framework, output format, and follow-ups

• I was surprised by how vague and thin the ChatGPT prompt felt in comparison

✏️ Task 8: Example Generation

Can it creatively generate aligned examples a marketer could learn from?

Prompt:

Generate 3 example website scenarios — one very strong, one borderline, and one poor that illustrate how Page Quality and E-E-A-T can affect SEO outcomes.

Claude wins:

• Shows in detail what good looks like: full-stack examples with site structure, trust signals, and content quality

• Breaks down E-E-A-T clearly: maps each element to real-world examples like credentials, privacy policies, and disclaimers

• Feels usable as a template: I could hand the “very strong” example to a junior and say, “Build toward this”

🔎 Task 9: Critique / Gap Analysis

Can it critically evaluate the source, making it valuable for marketers trying to apply it?

Prompt:

Critique this PDF from a marketer’s point of view. What key gaps or ambiguities might make it hard for a marketer to apply this guidance to their website?

ChatGPT wins:

• Surfaces critical gap: calls out lack of guidance on AI-generated content, which affects most marketers today

• Curates better: tighter list with fewer throwaway points

🖌 Task 10: Rewrite for Clarity

Can it rewrite complex content for marketers?

Prompt:

"Critique this PDF from a marketer’s point of view. What key gaps or ambiguities might make it hard for a marketer to apply this guidance to their website?"

ChatGPT wins:

• Clear structure: breaks complex ideas into labeled, scannable chunks

• Direct language: cuts filler and focuses on key points

• Brief-ready: usable without edits for team alignment

Pick Your Weapon: Depth or Clarity?

It was a interesting experiment…

The outcome surprised me as I have relied on ChatGPT for months and expected it to come out on top.

Now,

When a project needs depth, I will use for Claude: frameworks, roadmaps, and prompts ready for an SOP.

When a brief needs clarity, I turn to ChatGPT: tight copy and slides my team can use.

I test AI workflows on real marketing problems.

And turn the useful ones into 10x Playbooks.

So business owners and solo marketers doing it all themselves can skip the guesswork… and copy what actually works.

→ I drop one of these 10xPlaybooks 🚀 every week, don’t miss the next.

John