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ChatGPT vs Claude vs Gemini vs DeepSeek: The Best AI Assistant for Marketing in 2025

We tested today's leading AI models—ChatGPT-4o, Claude 3.5 Sonnet, Gemini Advanced, and DeepSeek—on real marketing challenges to determine which delivers the best results for marketers. Our evaluation included nine practical tests across:

  • Content Marketing 
  • Social Media Management 
  • Conversion Optimization 
  • Landing Page Creation 
  • Marketing Analytics 

In this post, you’ll find the best performers for each case, as well as our plug-and-play prompts to steal. Here we go.

Key findings at a glance

After extensive testing across multiple marketing scenarios, we discovered that no single AI assistant excels at everything.

So, the question isn't simply "what's better: ChatGPT vs Gemini?" but rather "what's the ideal combination of AI tools?" Our research shows that the ideal approach combines Claude + ChatGPT + DeepSeek for optimal marketing results.

Marketing use case Winner Key strength
Content Marketing Claude Most authentic tone, best headlines
Social Media Marketing Claude Strategic campaign planning, natural voice
Conversion Optimization DeepSeek Highest ratio of actionable CRO recommendations
Landing Page Creation Claude Implementation-ready HTML output
Marketing Analytics None excelled (yet, ChatGPT was closer than the rest) All missed critical attribution insights

1. Which AI assistant is best for content marketing?

Content marketing, particularly blog writing, remains one of the most common use cases for AI. A well-written blog post needs to nail at least three key elements:

  1. Headline. A compelling headline is essential for driving clicks. Great content is useless if it doesn’t get seen.
  2. Lead paragraph. The opening must catch attention and encourage visitors to continue reading, also improving behavioral metrics for search engines.
  3. Practical examples. The content should reflect expert knowledge and build credibility through concrete, real-world examples.

We asked each AI to write a blog post about data-driven marketing strategies for Improvado.

⚡️ Prompt

Act as an experienced content writer specializing in marketing analytics. Write a 500-word blog post for Improvado on how organizations that consider themselves data-driven can assess whether their marketing strategies are truly data-driven and identify areas for improvement if necessary.

The post should provide immediate, actionable insights for marketing professionals, particularly those in enterprise-level organizations, on how to evaluate their current marketing practices, leverage data for better decision-making, improve ROI, and optimize campaigns. Focus on providing practical insights that readers can apply directly to their own strategies.

Include real-world examples of businesses that successfully implemented data-driven marketing strategies and achieved measurable results.

The tone should be clear, professional, and approachable—informative but not overly technical. Ensure the blog has a catchy, engaging headline that draws readers in and motivates them to read the entire post (suggest 3 versions to choose from). The content should feel authentic and be written by a seasoned marketing professional, prioritizing real value over general awareness.

Finally, include a clear call to action encouraging readers to contact the Improvado team for assistance if they need help optimizing their data-driven marketing approach.

Test #1: Headlines

comparison of AI-generated headlines

Key insight: While all platforms offered strong headline foundations, Claude's approach stood out with its balanced formula: specific numbers + problem identification + solution promise ("5 Signs Your Marketing Strategy is Truly Data-Driven (And How to Fix It If It's Not)").

Test #2: Lead paragraph

chatgpt vs gemini which one produces better content for blog

Key insight: Claude distinguishes itself with a direct, compelling opening that avoids AI clichés ("In today's competitive landscape"), creates curiosity, and encourages the reader to read on.

DeepSeek attempts credibility by citing statistics but misattributes data. When fact-checked, its claim that "90% of enterprise marketers say data is critical to their success" actually combined unrelated statistics:

  • 94% of marketers view the marketing function as critical for growth
  • 88% of marketers reported that privacy changes impacted their marketing strategy
  • 90% of today’s data in the world was created in two years

Test #3: Real-world examples

chatgpt vs gemini which one produces better content

Key insight: ChatGPT wins the examples round by featuring relatable customer stories that create natural opportunities for internal linking and conversion. While other AIs relied on unverifiable statistics (DeepSeek) or generic big-tech examples (Gemini, Claude), ChatGPT's provided practical value by showing how similar businesses succeeded, giving content marketers a clear direction for adding authentic case studies.

2. Which AI assistant is best for SMM?

This section evaluates how well different AI chatbots perform key LinkedIn social media tasks for B2B marketing. We tested their capabilities with these three tests:

  1. Creating a standalone LinkedIn post
  2. Developing a thematic blog series strategy to support the campaign
  3. Leaving a comment under a peer’s post to support networking

Test #1: Creating a post

⚡️ Prompt

Write a LinkedIn post for Improvado's company page introducing a new self-serve feature in Improvado Data Transformations. Start by focusing on the value for the user, explaining how this feature empowers marketers and marketing analytics professionals to independently and easily blend, filter, group, and join data.

Emphasize how this feature gives marketers greater control over their data, saves time, and improves the accuracy and relevance of their insights. End with a clear call to action, encouraging marketers to explore the new feature.

Output:

Chatbots acting as SMM specialists

Key insight: All platforms demonstrated a consistent pattern: overuse of emojis (especially 🚀) in headlines. This immediately signals AI-generated content and undermines authenticity.

Claude prioritized user benefits before technical features and incorporated social proof through customer testimonials. Plus, it maintained concise messaging.

ChatGPT delivered technically accurate but uninspiring content that lacked organic appeal.

Gemini and DeepSeek highlighted customer pain points, but the execution by both chatbots had two key issues: excessive wordiness and overuse of bullet points.

Test #2: DemGen campaign planning

⚡️ Prompt

Act as a social media manager and plan a LinkedIn lead-generation campaign for Improvado Data Transformations. We need to bring in 100 new leads who are marketing analytics pros from US-based enterprise-level organizations. Plan what to do and how often.

Campaign structure overview:

deepseek offered a reasonable 8 week timeline

DeepSeek's 8-week timeline offers balanced preparation and evaluation time with a clear funnel-based structure. Claude provides a more complex 12-week strategy.

Content strategy:

AI social media content strategy

DeepSeek and Claude performed best in lead capture strategy with comprehensive gated content and strategic webinar planning. Their detailed sample content plans also provide practical starting points for campaign execution.

Paid promotion strategy:

AI-developed promotion strategy

Gemini, Claude, and DeepSeek offered to use InMail ads. Note that crafting those might require additional resources in addition to the ad budget.

Outreach strategy:

outreach strategy built by AI

Key insight: Claude stands out with its comprehensive 21-day follow-up sequence, which is the most structured approach to lead nurturing.

Test #3: A comment

Networking is key in marketing, and nothing is better for growing your network than engaging with other people’s posts. We selected a random LinkedIn post and assessed how AI helped us with writing a comment.

⚡️ Prompt

Act as a BDR at Improvado. Your task is to generate a short, meaningful, and insightful comment on the provided LinkedIn post.

Your comment should share a personal or professional insight regarding the impact of AI on the BDR role. Maintain a professional, thoughtful tone, while being short, human-like, and conversational.

LinkedIn post screenshot

Output:

AI-generated comments for LinkedIn

Key insight: Gemini leads in comment generation through storytelling and examples, while DeepSeek excels at personalized touches (a mention of a particular newsletter from the original post). However, all AI outputs require human editing to achieve authentic engagement—use them as frameworks rather than final content.

3. Which AI assistant is best for conversion optimization?

We evaluated AI platforms' ability to analyze and suggest improvements for a web page. For the test, we captured a full screenshot of Improvado Data Transformation product page and asked LLMs to suggest ideas for conversion optimization.

⚡️ Prompt

Review the Improvado Data Transformations product page and suggest improvements to boost its conversion rate. Focus on making the page more appealing to marketing analytics professionals at enterprise-level organizations. Provide specific action points in a before/after format.

Test #1: Headline improvement suggestions

AI-generated headline improvement comparison

Key insight: While AI models can identify basic page elements for optimization, they show limitations in two critical areas: understanding nuanced product positioning within a company's broader ecosystem and balancing copy with design constraints. This was evident in their tendency to over-lengthen copy in the hero section headline.

At the same time, other recommendations were quite useful.

Test #2: Overall CRO recommendations

CRO suggestion provided by AI

Key insight: DeepSeek led with the highest ratio of actionable recommendations (6 out of 10 test-worthy ideas), followed by Claude's comprehensive analysis (41 points with 5 viable options). 

Quality varied significantly: ChatGPT offered basic improvements but included already-implemented features. Gemini provided the least detailed suggestions. Claude and DeepSeek demonstrated a stronger understanding of enterprise-focused optimization with specific, value-driven recommendations like TCO calculators and workflow demonstrations.

Interestingly, unlike ChatGPT, Claude suggests adding more fields to the form for qualification purposes. This can reduce conversion into marketing leads, but the conversion to SQL might grow in the long run.

4. Which AI assistant is best for creating landing pages?

We assessed AI assistants on their ability to design landing pages, focusing on the ease of further implementation and overall effectiveness. The test task was to create a landing page for an event.

⚡️ Prompt

Create a landing page for Improvado's exclusive SXSW pre-party event.

Context:

  • Event: 'Analytics & Drinks' VIP night before SXSW
  • Date: March 9, 2025
  • Place: Stella San Jac restaurant, Austin
  • Value prop: Network with Improvado leadership + chance for free SXSW pass
  • Target audience: Marketing analytics professionals
  • Registration is needed as limited seats available

Required sections:

1. Headline (max 65 chars)
2. Event description (max 100 words)
3. Key attendees section (featuring Improvado leadership)

  • Daniel Kravtsov, CEO & Co-Founder
  • Scott Bennett, Chief Revenue Officer
  • Roman Vinogradov, VP of Products
  • Wendy Miller, Chief Customer Officer
4. Value proposition (max 50 words)
5. One clear CTA

Test #1: Output format

AI-generated landing pages

Key insight: ChatGPT and DeepSeek provided structured text, Gemini – HTML code, while Claude delivered an HTML file and provided its preview right within UI. Among all models tested, Claude demonstrated the best implementation readiness, making it the best choice for landing page creation.

5. Which AI assistant is best for Marketing Analytics and Intelligence?

The test presented a marketing budget allocation scenario across three major advertising platforms. We aimed to see whether the AI assistants would conduct thorough data analysis rather than settling for surface-level insights.

⚡️ Prompt

How to redistribute the budget to increase ROI while keeping the total advertising budget unchanged?

Budget redistribution chart

Output:

AI problem solving task

Key insight: Only ChatGPT demonstrated true critical thinking among AI assistants by testing hypotheses, validating through iteration, and recognizing complex analysis needs. Other chatbots missed a critical marketing insight: Facebook Ads' apparent low ROI masked deeper value. 

Why cutting its budget would be a mistake:

Equal customer acquisition cost: The equal $1,000 CAC across all channels signals that each plays a distinct role in conversion journeys.

The attribution issues

  • Different channels serve different functions in the marketing funnel
  • Google Ads often shows high direct conversion rates (especially for brand campaigns)
  • Social media typically requires multiple touchpoints before conversion
  • Last-click attribution models can mask Facebook's true contribution

Why regular AI tools fall short for complex marketing analytics

As our test revealed, most AI assistants miss critical marketing insights like Facebook Ads' true contribution beyond surface-level ROI. Generic AI tools lack:


  • Deep contextual understanding of marketing attribution models
  • Ability to analyze complex cross-channel relationships
  • Security protocols for confidential marketing data

Fortunately, there are specialized AI-powered solutions tailored for this task.

Elevate your marketing analytics with advanced AI capabilities

Improvado AI Agent delivers what generic AI assistants can't—specialized marketing intelligence that proactively identifies opportunities in your data and recommends effective actions.

Get your 24/7 analytics co-pilot:

  • Uncover hidden attribution insights across your entire marketing funnel
  • Recognize patterns that reveal each channel's true contribution
  • Deliver answers about your marketing performance in seconds, not days

Turn data into immediate action:

  • Receive real-time alerts on performance shifts across channels
  • Get automated period-over-period reports
  • Receive personalized recommendations for optimizing underperforming channels

Ask questions in plain language, get expert-level analysis—in 10 seconds

  • "Which channels are undervalued in our current attribution model?"
  • "What's the true contribution of social media in our conversion path?"
  • "How would adjusting our Facebook budget impact overall customer acquisition costs?" and more
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Improvado transformed our approach to marketing analytics. Its automation capabilities and AI-driven insights allowed us to focus on optimization and strategy, without the need for manual data management.

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