AI Explored: Combining AI Tools for Better Results
Podcast Information:
- Title: AI Explored
- Host: Michael Stelzner, Social Media Examiner—AI Marketing
- Episode: Combining AI Tools for Better Results
- Release Date: July 22, 2025
- Description: This podcast is tailored for marketers, creators, and business owners eager to harness the power of AI. Join Michael Stelzner as he shares practical and actionable strategies to effectively implement AI in your endeavors.
1. Introduction
Michael Stelzner opens the episode by emphasizing the evolving landscape of AI in marketing and invites listeners to explore beyond familiar tools like ChatGPT. The focus of this episode is on leveraging a combination of AI platforms to achieve superior results.
2. Guest Introduction and Background
[02:23] Michael Stelzner:
"Grace is a digital growth consultant who helps marketers grow organically with AI strategies."
Grace Leung shares her journey into the AI realm, starting her career in digital marketing in Asia over a decade ago. Her pivotal moment came in late 2022 when she first interacted with ChatGPT at her SaaS company in Canada. She recalls:
[03:01] Grace Leung:
"ChatGPT was a game changer. It made AI accessible to non-technical marketers like me, transforming how we conduct research, prepare copies, and brainstorm ideas."
Transitioning from corporate to independent consulting, Grace has expanded her expertise, embracing a variety of AI tools to enhance her business and client services.
3. Expanding Beyond ChatGPT: Importance and Benefits
Michael addresses the common reliance on ChatGPT among marketers and entrepreneurs, prompting Grace to illustrate the necessity of diversifying AI tool usage.
[06:15] Grace Leung:
"Different AI models have unique strengths. For instance, ChatGPT excels in language-based tasks, while Google’s Gemini is multimodal, handling text, images, audio, and video seamlessly."
By integrating multiple AI tools, users can tap into diverse functionalities, ensuring they do not miss out on opportunities that a single tool might overlook.
4. Understanding Different AI Models and Their Strengths
Grace elaborates on the distinctions between various AI models:
[06:35] Grace Leung:
"Gemini has been trained multimodally from the start, enabling it to handle diverse input types. In contrast, ChatGPT, primarily text-based, offers logical and structured responses."
She highlights that newer models like Gemini offer broader capabilities, such as processing multimedia inputs, which can provide a more comprehensive understanding and analysis compared to text-only models.
5. Structured Framework for Testing AI Tools
To effectively utilize multiple AI tools, Grace recommends a strategic approach:
[08:29] Grace Leung:
"Develop a structured testing framework. Identify recurring tasks, design prompts, and test these prompts across different models to evaluate speed, accuracy, bias, and tone."
Michael reiterates the importance of this framework, sharing his personal experience of using both Claude and ChatGPT to enhance survey question quality:
[10:18] Michael Stelzner:
"Using both Claude and ChatGPT allowed me to uncover unique insights from each, resulting in a more robust survey than using a single tool."
6. Practical Use Cases: Analyzing Large Data Sets
Grace delves into one of her favorite use cases: analyzing large data sets with AI.
[13:35] Grace Leung:
"AI excels at identifying patterns and structuring unstructured data. For example, you can input YouTube comments or business reviews into Gemini to structure the data into tables for further analysis."
She emphasizes the transformative impact of AI in handling vast amounts of information efficiently, enabling deeper insights that would be time-consuming manually.
7. Deep Dive into Specific Tools
Google Gemini vs. Claude
[14:18] Grace Leung:
"In audience research, I use Gemini for initial data analysis and then pass the insights to Claude for strategic refinement. Gemini handles the heavy data intake, while Claude excels in presenting the data story."
Michael adds:
[18:00] Michael Stelzner:
"Gemini Pro is ideal for data-heavy tasks, whereas Claude is better suited for strategic and detailed work."
Perplexity for Quick Research
Grace outlines the use of Perplexity for swift information retrieval:
[28:55] Grace Leung:
"For quick searches, like identifying top competitors, I use Perplexity. It provides immediate, concise answers that I can then expand upon using other tools."
She contrasts this with more in-depth research requirements, where tools like Gemini and NotebookLM come into play.
NotebookLM for Internal Research
[37:43] Michael Stelzner:
"Can you elaborate on NotebookLM and its role in internal research?"
[38:01] Grace Leung:
"NotebookLM, powered by Gemini, allows bulk imports of sources, minimizing hallucination while ensuring responses are based strictly on the imported data. It's a powerful tool for reverse engineering Google’s ranking strategies for SEO."
8. Research Applications and Workflow Integration
Grace shares a comprehensive workflow for conducting audience and market research:
- Initial Data Collection: Use Perplexity for quick competitor identification.
- Data Structuring: Utilize Gemini to analyze and summarize large data sets.
- Strategic Refinement: Pass the structured data to Claude for persona development and strategic insights.
- Content Planning: Employ NotebookLM to integrate Google-ranked sources, ensuring content aligns with high-quality standards.
[32:36] Michael Stelzner:
"Using ChatGPT to develop a research plan and then executing it with Perplexity enhances the quality and structure of the research output."
9. Pricing and Tool Selection Considerations
Grace discusses the cost-effectiveness and features of various AI tools:
[34:05] Grace Leung:
"The paid version of Perplexity costs around $20 per month, offering unlimited quick and deep searches compared to the free version’s limited daily queries."
She advises selecting tools based on specific needs, such as using Claude Sonnet over Opus for better token management during data-heavy tasks.
10. Closing Remarks
Michael and Grace wrap up the discussion by summarizing the benefits of a multi-tool AI approach. They emphasize the enhanced insights and efficiency gained by integrating tools like Gemini, Claude, Perplexity, and NotebookLM into marketing and research workflows.
[41:33] Michael Stelzner:
"Grace, thank you for sharing your invaluable insights. This multi-tool approach undoubtedly equips marketers and entrepreneurs to stay ahead in the AI-driven landscape."
Grace provides her contact information for listeners interested in further collaboration or learning more about her AI strategies.
Key Takeaways:
- Diversify AI Tool Usage: Relying solely on ChatGPT limits potential insights. Combining multiple AI models like Gemini and Claude can unlock a broader range of functionalities and deeper analyses.
- Structured Testing Framework: Establish a systematic approach to evaluate and integrate different AI tools based on specific tasks, ensuring optimal performance and minimal bias.
- Practical Workflows: Implement workflows that leverage the unique strengths of each AI tool for tasks such as data analysis, persona development, and content planning.
- Cost vs. Features: Consider the pricing and specific features of AI tools to ensure they align with your business needs and budget.
By embracing a multi-tool AI strategy, marketers and business owners can achieve more comprehensive, accurate, and strategic outcomes, positioning themselves as AI-savvy leaders in their respective fields.