I would love to see a ChatGPT Vision-based icebreaker feature in Sendr, similar to what RepliQ offers with their "Personalized Lines" feature.
How it would work:
User provides a lead's website URL
User inputs their own USP (Unique Selling Proposition) and a custom prompt
ChatGPT Vision analyzes the lead's website visually β identifying branding, design elements, products, awards, testimonials, etc.
Based on the visual analysis + USP + custom prompt, it generates a hyper-personalized icebreaker
Example prompt template: "Analyze this website and create a personalized icebreaker connecting what you see to our USP: [user's USP]. Focus on: [specific elements like branding, products, recent news, design quality]"
Why this matters:
Visual analysis catches things text scraping misses (logos, design quality, product images, trust badges)
Creates genuinely personalized outreach that stands out
Scales 1-to-1 personalization across hundreds of leads
Higher reply rates from prospects who feel the message was crafted specifically for them
Ideal output: A short, punchy icebreaker (1-2 sentences) that references something specific and visual from the prospect's website, tied to the sender's value proposition.
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In Review
π‘ Feature Request
3 months ago

Raymond Furre
Get notified by email when there are changes.
In Review
π‘ Feature Request
3 months ago

Raymond Furre
Get notified by email when there are changes.