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.
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:
- Headline. A compelling headline is essential for driving clicks. Great content is useless if it doesn’t get seen.
- Lead paragraph. The opening must catch attention and encourage visitors to continue reading, also improving behavioral metrics for search engines.
- 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.
Test #1: 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

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

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:
- Creating a standalone LinkedIn post
- Developing a thematic blog series strategy to support the campaign
- Leaving a comment under a peer’s post to support networking
Test #1: Creating a post
Output:

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
Campaign structure overview:

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:

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:

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:

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.
Output:

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.
Test #1: Headline improvement suggestions

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

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.
Test #1: Output format

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.
Output:

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
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