Craft Prompts That Research and Position Like an Expert

To generate effective ads for LinkedIn, Instagram, and Google, start by prompting a strong text model like Claude to build a master prompt. Feed it your product (e.g., HubSpot's Breeze customer agent, which resolves 65% of tickets automatically, sets up in minutes, works across chat/email/WhatsApp/voice, needs no code). Instruct Claude to research core benefits (77% fewer tickets, zero new hires for some customers, 39% faster resolution), competitive positioning, brand voice (HubSpot's sprocket logo, not a steering wheel), and platform-specific best practices. The output is a massive, structured prompt positioning you as an "elite performance creative strategist managing $50M in B2B SaaS ad spend." It specifies ad types (e.g., LinkedIn carousel/image/video, Instagram stories/reels, Google responsive search ads), angles (pain points like too many tickets/too few staff, proof points), and outputs three ads per platform. This zero-to-one step baselines even non-experts, saving credits since text iteration costs far less than visual generation—e.g., $20/month Replet plan burns fast on bad prompts.

Iterate this prompt manually: Edit sections for accuracy, add a "not-do" list (avoid post-apocalyptic illustrations, non-brand colors like weird blues, generic images). Result: Ads with data-driven hooks ("77% fewer tickets"), teammate framing ("Not a chatbot, your AI support teammate"), and intent-matched copy ("Too many tickets? 65% auto-resolved").

Generate and Visualize Ads in Replet 4's Canvas

Paste the refined prompt into Replet 4's new "Ad Creative" skill for platform-tailored outputs. Replet, a vibe-coding tool, translates natural language to code generating ads, now with a canvas for GUI edits (drag, spot-fix components). It produces:

  • LinkedIn: Carousel/image ads with customer results (e.g., Neutrabees: 77% fewer tickets), whiteboard styles, before/afters—but often flawed visuals (illegible text overlays, wrong logos, commercial fades).
  • Instagram: Scroll-stopping reels/stories with Instagrammy before/afters, data proofs—but risky illustrations or off-brand blues.
  • Google Responsive Search: Strongest output—visualizes search previews with scored headlines (e.g., "Winning: Too many tickets, too few staff—65% auto-resolved"), multiple variants ("Set up in minutes," "39% faster resolution"), CTAs ("Start for free"). No heavy visuals needed, so copy shines.

Replet scores elements (e.g., headline grades) and enables in-canvas iteration: Select an ad/component, prompt revs like "Redo with real HubSpot logo, better image, legible text." Provide samples (10-20 logo/image versions) for faster wins.

Expect 2+ Hours of Iteration for Production-Ready Ads

AI excels at copywriting and baselines (e.g., intent-matching Google headlines convert well) but falters on visuals—state-of-the-art tools like Replet 4, Super Scale still produce terrible graphics (overlaps, irrelevance, generic AI art). First gens often fail: 1/3 LinkedIn ads unusable, Instagram hit-or-miss. Iterating visuals costs $20-40 in credits; pair with Canva for cheap polishes if design-skilled.

Trade-offs: Great for non-designers testing $100 ad budgets; slower than manual Canva for pros. Not one-shot—expect hours for 9 solid ads (3/platform), improving via loop marketing (express-tailor-amplify-evolve: learn from tests, refine next batch). Supply existing creatives/brand assets upfront for better first revs. Tools like Replet 4 reduce friction but demand prompt discipline to hit pro standards worth running.