Today's Guide to the Marketing Jungle from Social Media Examiner...
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Friday is almost here, Alluser! Before you unplug, here’s one last round of insights and updates. Whether you read them now or save them for later, you won’t want to miss these.
⁉️ Quick question for you: Do you use AI-generated video in your marketing? NO or YES.
In today’s edition:
Did you know Claude’s Chrome extension can do this?
Prompting AI for Deep Research
🗞️ Industry news from Adobe, Google, and more
Claude’s Extension Unlocks More Research Access
One of the most useful features of AI is its ability to read and pull information from webpages you’re using for research. Until AI hits a roadblock.
Sometimes AI struggles to ‘see’ what’s on a page because the site has strong security measures, such as Cloudflare, in place.
If you’re using Claude, Ali Kelly has a helpful workaround:
Instead of giving the page’s link to Claude directly, open the webpage in your browser and launch the Claude Chrome extension. You’ll be able to use the extension interface to chat with the AI and get the insights you need.
For more tips to deal with frustrating AI errors and roadblocks, explore the AI Business Society.
Meet People Who Can Help You
As marketers and entrepreneurs, we often need a nudge in the right direction from someone who understands the "AI overwhelm." At AI Business World (April 29-30), you’ll find a community of serious AI practitioners eager to share what’s working—and which tools are actually worth the hype.
To help you make these connections, we’ve built a specialized networking space specifically for AI implementation. Connect with hundreds of forward-thinking peers to discuss the real-world workflows and strategies changing our industry.
I’m ready to connect with other AI-driven marketers.
Advanced AI Deep Research: Uncover Insights Your Competitors Are Missing
Most people use AI for simple writing tasks. But the technology is capable of far more sophisticated work, including research processes that would previously have required hiring a professional analyst or spending weeks gathering and analyzing information for manual research.
Rather than relying on AI's existing training data, deep research mode deploys an agent that actively scours the web—processing websites, documents, URLs, reports, and thousands of pages of source material —then synthesizes everything into actionable insights.
It's the difference between asking someone what they already know and sending them out to investigate on your behalf.
Because AI excels at pattern recognition, it surfaces the patterns that are actually relevant to your work, not just raw data, but actionable insight.
The 3 Cs Prompt Framework
Deep research prompts can be long. Natalie MacNeil recently built a prompt for a client that ran twelve pages by the time all the necessary context and instructions were included. The more complex the task, the more clarity and context it requires. Here is what you need to see credible results.
Clarity: You need to clearly define the role the AI plays and the research goal. For deep research, that typically means assigning it the role of an elite researcher or analyst in your specific field. To make that role more precise, look up job descriptions for research analysts at institutions like Goldman Sachs, Morgan Stanley, the IMF, or the World Bank, and pull out qualifying language from those descriptions to add to your prompt. This gives the AI a richer set of expectations to work from and sharpens what it's trying to deliver.
Context: If you were bringing a human analyst into your company, you'd give them a thorough briefing before sending them to work. Do the same with AI. Beyond providing your website URL and any other business documentation you have available, give the AI everything it needs to understand the bigger picture: your business plan, your current marketing plan, your customer profile, your offer, the industry you're in, your strategic goals, and, critically, why you're doing this research and what decision it's meant to support. If the research is driving a specific choice, tell the AI what that choice is so the output can be tailored accordingly.
Cues:Here, you give the AI reference points, documents, and examples specific to your research topic. For market research, that might include customer feedback or survey results you've already collected. If you're asking AI to analyze your funnel or marketing messaging, upload the actual copy, landing pages, and funnel materials. The more relevant source material you can provide, the more precisely the AI can calibrate its findings to your situation.
Use AI to Build Your Prompt
Before activating deep research mode, Natalie recommends having a separate conversation with the AI—ideally in the same tool you'll use for the research—to develop the prompt itself.
Explain what you want to research, share information about your business, and ask for help crafting a deep research-specific prompt that will get you the results you're after. If you prefer speaking over typing, voice prompting works well for this prep stage—just make sure you're still covering all three Cs.
You can also ask directly:
What data should I provide to help you accomplish this research more effectively?
The AI will identify the context that would strengthen the output, helping you prepare before running the actual research session.
Structure Your Prompt as a Standard Operating Procedure
The single biggest mistake Natalie sees people make with deep research is asking one massive, open-ended question. Instead, she says to think of your prompt as a standard operating procedure, a step-by-step sequence where each instruction builds on the previous one, just as you'd write a process document for a new employee.
For example:
Step one: Read through the full tax legislation.
Step two: Produce a report on the implications for my specific business entity and location, given the business context I provided.
Step three: Read through all the federal funding bill reports.
Step four: Identify companies most likely to benefit from the funding shifts.
Step five: Run individual financial research on each of those companies.
Step six: Generate a final report with investment recommendations, scored by growth potential and ROI.
Each step feeds the next, and the layered approach dramatically improves both the depth and quality of the final output.
Other topics discussed include:
4 Things to Know Before You Begin Using AI Deep Research Mode
How to Find and Use AI Deep Research Tools in Claude, ChatGPT, and Gemini
6 Use Cases for AI Deep Research
Today's advice provided with insights from Natalie MacNeil, a featured guest on the AI Explored podcast.
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Adobe Launches Firefly AI Assistant for Cross-App Creative Workflows: Adobe is rolling out its Firefly AI Assistant in public beta, introducing an agentic tool that can automate and coordinate tasks across its Creative Cloud suite. By combining prompt-based controls with reusable “skills” and context-aware suggestions, the assistant aims to streamline complex creative workflows while keeping users in control. The update also expands Firefly’s editing capabilities and third-party model integrations, reinforcing Adobe’s push toward unified, AI-driven creative production. TechCrunch
Anthropic Launches Claude Opus 4.7: Anthropic has released Claude Opus 4.7, upgrading its flagship model with significant gains in coding performance, instruction-following, and long-task reliability. With improved vision capabilities, enhanced memory, and new control settings for balancing performance and cost, the model is designed to handle more complex, real-world workflows while maintaining a strong focus on safety. Anthropic
Anthropic Launches Claude Design for AI-Powered Visual Creation: Anthropic has introduced Claude Design, a new AI tool that allows teams to create and refine visual assets—from prototypes to presentations—through conversational inputs. Powered by Claude Opus 4.7, the platform integrates design systems, supports collaborative workflows, and connects directly to development tools. Anthropic
Google Launches Deep Research Max: Google is advancing its AI research capabilities with Deep Research and Deep Research Max, powered by Gemini 3.1 Pro. Designed for both real-time and long-horizon workflows, these agents can synthesize insights from web and proprietary data sources, generate visual outputs, and deliver highly detailed, citation-backed reports. With enhanced control, multimodal inputs, and enterprise integrations, the update positions AI agents as a core tool for complex research and decision-making. Google
Google Expands AI Studio Capabilities for Faster Prototyping: Google is raising usage limits and unlocking advanced models like Gemini Pro and Nano Banana Pro for AI Pro and Ultra subscribers in AI Studio. The update aims to streamline early-stage development by enabling faster experimentation and prototyping, while providing a clear pathway to scale projects using API-based infrastructure. Google
Google Enhances AI Mode in Chrome with Side-by-Side Browsing and Multi-Tab Context: Google is expanding AI Mode in Chrome to create a more seamless browsing experience, allowing users to view webpages alongside AI responses and ask contextual questions without switching tabs. With the ability to incorporate multiple open tabs, files, and images into a single query, the update transforms Chrome into a more integrated research and discovery environment powered by AI. Google
Gemini Adds Personalized Image Generation with Google Photos Integration: Google is rolling out new image creation capabilities in the Gemini app, combining Personal Intelligence with Nano Banana 2 to generate highly personalized visuals. By leveraging user preferences and Google Photos, Gemini can create images featuring familiar people and styles with minimal prompting, streamlining the creative process while maintaining user control and privacy. Google
Google Rolls Out AI-Powered Desktop App for Windows: Google has rolled out its desktop app for Windows users worldwide, bringing AI-powered Search directly to the desktop with features like a universal search bar, screen sharing for contextual queries, and built-in Lens capabilities. Designed to keep users in flow, the app unifies web and local search while expanding access to AI-driven assistance across everyday workflows. Google
Google Introduces Skills in Chrome for One-Click AI Workflows: Google is rolling out a new feature that lets users turn AI prompts into reusable, one-click workflows within the browser. By enabling both custom and pre-built prompt automation across webpages, the update streamlines repetitive tasks like research, comparison, and content analysis, positioning Chrome as a more powerful hub for AI-assisted productivity. Google
Google Launches Gemini 3.1 Flash TTS for More Expressive AI Voice: Google has introduced Gemini 3.1 Flash TTS, a new text-to-speech model designed to deliver more natural, expressive, and controllable AI-generated audio. With features like audio tags for fine-tuned voice direction, multi-speaker support, and multilingual capabilities, the model enables developers and creators to build more immersive and customizable voice experiences across applications. Google
OpenAI Codex Expands into Full AI Development Agent Across Tools and Workflows: Codex has evolved into a more comprehensive AI agent that can operate across a developer’s entire workflow, from writing and reviewing code to managing tasks and interacting with apps. With new capabilities like computer control, memory, automation, and deep integrations, Codex moves beyond coding assistance toward continuous, context-aware collaboration—helping developers execute complex, multi-step work more efficiently over time. OpenAI
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