by Friday is almost here! 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.
In today's edition:
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Develop an AI image library from 1 photo
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How to Get AI to Recommend Your Business
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🗞️ Industry news from Gemini, Meta, and more
Turn One Product Photo Into a Full AI Image Library
If you've ever sat down to create an AI video or social post for a product and realized you only have one decent photo to work with, you're not stuck. That single image can become the seed for an entire shot library — no reshoot required.
Feed your image into an AI image tool with the right approach, and it becomes a reference point the model can build new, consistent shots from. Close-ups, alternate angles, different settings, all visually tied back to that original photo.
The bigger strategic gain is what happens to the images that don't make the final cut.
In a normal creative process, rejected drafts just get deleted. But when everything you generate traces back to the same source image, those “extras” aren't waste — they share the same lighting, color palette, and visual style as the shots you did use. A close-up you skip today might be exactly the B-roll you need for next month's Instagram story.
Treated this way, one product photo stops being a single-use asset. It becomes a growing library that delivers value long after the original project wraps.
Ready to put this into practice? We walked through the full prompting workflow — including how to build a brand-consistent reference sheet — in our recent session replay: AI Video Workflows: Build Once, Reuse Forever with Jerod Lew — available instantly when you join the AI Business Society.
2027 Speakers Announced — AI Included
Social Media Marketing World just revealed its first speakers for 2027. Two dozen practitioners were personally recruited to cover AI and marketing, organic and paid social, and marketing strategy. The AI sessions are built for implementation — not “what is AI” but how to put it to work in your marketing this week. Every session is pitch-free. Every speaker is hand-selected. Tickets are on sale now at discounted prices.
How to Get AI to Recommend Your Business
AI is quickly becoming the trusted advisor people turn to before making buying decisions, and those conversations are happening in private. If your business isn't showing up in AI recommendations, you could be invisible to a growing number of potential customers. AI strategist Liron Segev, founder of AnswerContentEngine.com, explains how to create content that gets your business cited, mentioned, and linked by AI systems.
Why Your Content Strategy Needs a Second Audience
You're probably still creating content designed for humans to read from top to bottom. But AI doesn't consume content that way, and the shift in how people search for answers means your content now needs to serve two very different audiences at once. Learn why that matters and what it changes about the way you structure everything you publish.
The Content You Already Have That AI Wants
You may be sitting on a goldmine of material that could build your AI authority without you even realizing it. Discover the overlooked content asset most businesses let die after a single use and how one consulting firm leveraged it to dominate their category in just weeks.
What Makes AI Choose You Over Every Competitor
AI has access to a massive amount of content online, so why would it pull yours as the answer? Find out what AI evaluates when deciding which source to cite, the one quality your content must have to stand out, and why simply using AI to generate your articles won't get you there.
The Technical Setup That Could Be Blocking You Right Now
Your content might be excellent, but if AI can't access it, none of it matters. Learn about the common technical barriers that silently prevent AI from finding your site and the simple checks you can run today to fix them.
Want to Learn More?
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Read the show notes on Social Media Examiner
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Gemini Launches Dedicated Windows App: Google has released a Gemini desktop app for Windows 10 and 11, giving users quick access to its AI assistant through an Alt + Space shortcut or a dedicated workspace. The app supports tasks ranging from working with Gmail and Drive content to delegating multi-step projects through Gemini Spark, while Nano Banana and Gemini Omni provide built-in image and video generation. Google says more native desktop functionality is planned following the global launch. Google
Google Launches Gemini 3.8 Live Models for Real-Time Voice Agents: Google has introduced Gemini 3.8 Live and 3.8 Live Extended Thinking, expanding its voice AI capabilities with multimodal understanding, multilingual conversations, asynchronous tool use, and deeper reasoning for complex tasks. The Extended Thinking model can work through multi-step processes while maintaining an ongoing spoken conversation, while the standard Live model is optimized for scalable, cost-efficient interactions. Both models are beginning to roll out across Google's developer, enterprise, Workspace, Search, and Gemini experiences. Google
Meta Launches Muse, a Personal AI Agent That Can Take Action for Users: Meta has introduced Muse, an AI agent designed to move beyond answering questions by independently completing tasks and advancing longer-term goals on a user's behalf. Powered by Muse Spark, the agent can browse the web, handle forms, coordinate plans, make purchases with approval, and work across connected services while remembering relevant preferences. Meta is positioning privacy and user control as central to the product through its dedicated Muse Secure VM, granular permissions, action approvals, and audit trails. Muse is initially rolling out in the U.S. across mobile and web, with support for AI glasses planned. Meta
OpenAI Launches GPT-Live-1 for More Natural Voice Agents: OpenAI has released GPT-Live-1 in the API, giving developers a full-duplex voice model designed to handle interruptions, pauses, background noise, and natural conversational dynamics while delegating complex reasoning and actions to backend models and tools. Developers can customize how agents speak, choose from an expanded range of voices, and deploy the technology in applications ranging from customer support to phone-based reservations. The front-end voice layer is priced at $0.05 per minute. OpenAI
