I cracked Social SEO. With $0 budget, 0 team, 0 contractors, 0 agencies. I know multiple startups getting 1000s of users from organic social. Literally a hack if you know how to repeatably acquire attention. For the last few months I've been trying to hack AI vs social vs SEO. Without dropping in quality or authenticity. And I finally did it. 1.6M+ website views in 2025 for my solo bootstrapped startup. High profit margin w/ compounding user acquisition flywheel. I've documented my entire AI content strategy in a step-by-step guide. This is the same strategy that helped me: - Grow my personal brand to 1.5M+ - Drive hundreds of new users daily - Generate consistent traffic from socials I cannot share links in this group, so feel free to Ask Me Anything 👇

Tool: Gemini 2.5 Flash Image (Nano Banana) Why This Tool: Google's Nano Banana lets you generate images from text and edit them with simple instructions, all while keeping characters and subjects consistent across multiple images (perfect for creating branded content series without hiring a designer for every variation). Best For: Coaches creating consistent social media content series, small business owners building branded visual campaigns, marketers testing ad concepts before hiring designers, content creators who need the same character or product across multiple scenes Cost: Available through Gemini app with usage limits based on your Google AI plan (check ai.google.dev/pricing for current rates) Website: https://gemini.google/overview/image-generation/ Quick Win Prompt: "Think of a character or mascot that represents your brand (could be a person, animal, or object). Open the Gemini app, describe your character in detail (appearance, clothing, style), and generate your first image. Then create three more images with that same character in different settings or poses using prompts like 'the same character now holding a coffee cup' or 'the same character at a desk working.' You now have a consistent visual identity for your next content series." Other Things Nano Banana Can Do: - Natural language editing: Take any generated image and refine it by simply describing what you want changed (like "make the background darker" or "add a laptop on the desk") - Multi-image combining: Merge elements from several source images into one cohesive result, perfect for creating composite mockups or blending brand elements - API integration: Build Nano Banana directly into your apps or workflows using Gemini API or Vertex AI for automated image generation at scale - Precise character consistency: Generate entire visual stories or product demonstrations where the same face, outfit, or branded element appears reliably across dozens of images

It’s wild how far AI product photography has come. With a couple of well-structured prompts, you can now generate realistic product images from different angles and environments without organising a full photoshoot. This makes it possible to create marketing-ready visuals quickly while saving a lot of time and money.

Everyone expected the next big leap in AI to be smarter chat models… instead it was image editing Nano Banana blew up because it solved the one thing every creator struggled with: clean, controlled edits without breaking the image It can: - swap objects without distortion - fix colours without ruining lighting - keep faces consistent - edit clothes, backgrounds and details perfectly No re-generating. No losing the original. No weird hands It made visual creation accessible, even for people with zero design skills—so naturally millions adopted it in weeks. In your opinion… is Nano Banana just the start, or will editing become the main use of AI for most people?