Today's Guide to the Marketing Jungle from Social Media Examiner...
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We're halfway through the week, Alluser, how's your marketing strategy holding up? Today's tips and insights will help you fine-tune your approach.
In today's edition:
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Is ignoring this LinkedIn feature hurting your business?
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Try this content strategy to boost your brand on Instagram
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How to find the best AI tools for your multi-model workflows + a use case
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🗞️ Industry news from Threads, YouTube, and more
The LinkedIn Feature 90% of Company Pages Are Missing
Most businesses obsess over their LinkedIn content strategy but completely overlook one of the platform's most powerful real estate opportunities.
While you're busy crafting the perfect post, your competitors might already be leveraging this hidden gem to control exactly what visitors see first when they land on their company page.
Here's the thing: your regular posts get buried quickly in LinkedIn's algorithm, but Michelle J. Raymond has a way to keep your most important content front and center, where it can't be missed.
The setup takes less than five minutes, but the strategic thinking behind what you choose to showcase is what matters. Watch more here.
How Reposting Can Boost Your Brand, Rather Than Dilute It
What if reposting user-generated content (UGC) could save you time, fuel authenticity, and build real community—without compromising your unique voice or visual aesthetic?
Neal Schaffer says smart brands strategically weave UGC into their feeds and shows you how to do it right, from getting crystal-clear permission to preserving your brand's tone and look.
You'll also learn the ratio of original to reposted content and how to tap into Instagram's tools to amplify others' work while keeping your brand front and center. Read more here.
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Combining AI Tools for Better Results
Most marketers begin their AI journey with ChatGPT.
However, Grace Leung, a digital growth consultant who helps marketers grow organically with AI strategies, says limiting yourself to a single AI tool means missing significant opportunities for enhanced performance and capabilities.
Rather than relying solely on benchmarks or general recommendations, you need a structured approach to testing and implementing multiple AI platforms. This framework ensures you make informed decisions rather than random experiments.
Establish Your AI Tool Testing Framework
Once you've identified your key use cases, design a standardized prompt that you can test across different models simultaneously. This approach provides the most objective comparison of each model's capabilities because you control the input variable while measuring different outputs.
During your testing phase, evaluate several critical factors for each model:
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Speed represents how quickly each tool responds to your queries, which becomes crucial when you're working under tight deadlines or processing large amounts of information.
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Accuracy involves checking for any bias or inaccurate information in the responses, particularly when dealing with factual content or industry-specific knowledge.
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The tone and presentation style of each model's output also vary significantly and should be considered.
How to Test AI Tools for Bias and Accuracy
A practical method for evaluating model reliability involves asking factual questions about topics you know well. This technique allows you to spot potential biases or knowledge gaps across different platforms.
For example, if you work for a specific company or in a particular industry, ask each AI tool to provide a comprehensive overview of your brand, including product details, messaging, and market positioning. Compare these responses to identify which model provides the most accurate and complete information. This comparison reveals not only factual accuracy but also how each model approaches research and synthesis of information.
Use Case: How to Analyze Large Data Sets with Gemini and Claude
Large data sets in marketing contexts encompass various types of information that consume significant computational resources. These might include comprehensive reports spanning hundreds of pages, extensive collections of customer reviews, social media comments from multiple platforms, forum discussions, or business profile reviews across different locations.
The power of AI in this context lies in its ability to identify patterns within unstructured data and transform that information into structured, actionable formats. Instead of manually reading through hundreds of customer comments or reviews, AI can systematically analyze these data sets and extract meaningful themes, sentiments, and insights.
Stage One: Initial Processing with Gemini
Begin by uploading your large data set to Gemini 2.5 Pro, which is designed for data-heavy analysis tasks.
When working with Gemini for data analysis, request a comprehensive data summary rather than jumping directly to insights or recommendations. This summary should identify patterns, frequently used words or phrases, and a statistical overview of the information. Ask Gemini to perform statistical summary analysis as the foundation for deeper interpretation.
A practical example involves audience research for marketing campaigns. You might compile customer reviews, social media comments, and forum discussions about your product category, then upload this collection to Gemini with a request to identify common themes, pain points, and language patterns used by your target audience.
Stage Two: Strategic Analysis with Claude
After Gemini completes its initial analysis, take that output to Claude for refined strategic interpretation.
When transitioning from Gemini to Claude, include context in your Gemini prompt explaining that the output will be passed to another AI for deeper analysis. This instruction helps Gemini structure its response in a way that facilitates the handoff to Claude.
I'm preparing this content to be passed to another AI system (Claude) for a deeper strategic analysis. Please give me a clear, structured summary of the following information with labeled sections. Be concise and avoid speculation. Claude will use your summary to identify opportunities and build out a strategic roadmap. Here's the source material: [Paste transcript, user notes, article draft, or other data here]
Claude's strength lies in transforming data summaries into strategic recommendations. Using the audience research example, you might ask Claude to generate a dashboard based on Gemini's analysis, develop two to three detailed persona profiles, identify specific pain points and motivations, and recommend messaging strategies that resonate with these target personas.
The workflow might progress from data analysis to persona development to messaging recommendations, with Claude building upon Gemini's foundational analysis to create comprehensive strategic guidance. For instance, if you're launching a new SaaS email marketing product, Claude can use the analyzed data to recommend specific messaging approaches that address the most significant pain points identified in your research.
Other topics discussed include:
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How to Map Your Workflow to Multiple AI Tools
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How to Do Quick Research with Perplexity
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How to Do Deep Research with Gemini
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How to Do Internal Research with NotebookLM and Perplexity
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How to Use NotebookLM for SEO Research
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Implementation Tips for Multi-Tool AI Workflows
Today's advice provided with insights from Grace Leung, a featured guest on the AI Explored podcast.
Watch the full interview YouTube
Instagram Tests Carousel Frame Like Insights: Instagram is testing a new analytics feature for professional accounts that reveals which specific frame in a carousel post was being viewed when users tapped Like. Found under the When people liked your carousel section, this tool gives creators deeper insights into content performance across multi-slide posts. The feature is currently in limited testing and may not yet be available to all users. Adina Jipa
Threads Adds Enhanced Insights for Content Performance and Discovery: Threads has introduced new metrics in its "Insights" dashboard to help creators better track engagement and understand how content is discovered. Users can now view post interactions by type, analyze follower growth with demographic and geographic data, and explore trends over time through a new 7–90 day chart. Additionally, creators can see how much traffic their posts receive from Threads, Instagram, and Facebook. TechCrunch
X Restricts Emoji Use in Ads: X has updated its Ad Quality Policy with a new rule that penalizes ads with more than one emoji—lowering quality scores and increasing costs—unless the ads exclusively target Japan or Korea. This change may impact current campaigns that need urgent adjustments to comply with the updated guidelines. Social Media Today
YouTube Expands Dream Track Testing for Shorts Creators: YouTube is rolling out experimental updates to its Dream Track feature for Shorts, focusing on improved quality and expanded customization of AI-generated soundtracks. These enhancements are available to a limited group of creators in the U.S. as part of ongoing testing. YouTube
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Did You Know?
The sea grape seaweed, especially popular in Japan and Southeast Asia, consists of tiny, grape-like spheres that burst in the mouth with a taste likened to a combination of cucumber and salt, which is why they are often called green caviar.
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