Creating Content with Voice-Activated Technology

Voice search is the next frontier everyone's ignoring. While companies obsess over ChatGPT citations and LLM optimization, there's a massive opportunity hiding in plain sight: voice-first discovery. AI can't read your blog content aloud yet, but that's changing fast. Google's Speakable schema is already in beta for news publishers, and voice search queries are growing 35% year-over-year according to recent data. The gap is huge. Most publishers are completely unprepared for audio-first discovery, treating voice search as an afterthought instead of a primary optimization channel. Here's what's interesting: The companies that nail voice optimization early will dominate audio discovery before their competitors even realize it's a thing. We started testing voice-first content strategies with select uSERP clients after noticing the trend. Here’s the voice-first content approach that's working for us: 🚀 Conversational query targeting by focusing on questions people actually ask aloud. "Best marketing automation for small teams" instead of "marketing automation software comparison." 🚀 Audio comprehension structure using clear Q&A blocks and concise answers designed for 20-30 second voice excerpts that provide complete value. 🚀 Voice-optimized schema implementation including Speakable markup for eligible content sections, plus FAQPage schema for broader voice search optimization. 🚀 Context-rich content creation that leads sections with clear topic identification like "This guide explains..." to help voice assistants understand and cite content accurately. 🚀 Conversational flow testing to ensure content sounds natural when read aloud, not just when scanned visually. The timing is perfect because voice search optimization is still largely unexplored territory. Most content is optimized for scanning, not listening. The brands that flip this approach will capture intent through entirely new discovery channels. Are you seeing any voice search traffic yet? How are you thinking about optimizing content for audio-first discovery? 👇

The single most powerful way to leverage AI for content creation in 2025: Use AI to transform your ideas into content faster Over the past 6 months, I've helped hundreds of founders and marketing leaders revolutionize their content creation. Here's what delivers results: 1. Record your thoughts via voice memo or interview - Capture raw insights in your natural voice - Talk through customer problems and solutions - Share real examples and stories 2. Use AI to transcribe and structure - Convert voice to text instantly - Extract key themes and insights - Organize points into logical flow 3. Build a knowledge base - Save transcripts from sales calls - Store customer testimonials - Archive successful content frameworks 4. Let AI handle the heavy lifting - Search past conversations for relevant examples - Pull supporting data from your knowledge base - Draft initial structure based on proven formats 5. Focus your time on what matters - Fine-tune messaging - Add your unique perspective - Ensure authenticity The results we've seen: • Content creation time cut by 70% • 3x more consistent posting • Higher engagement from being authentic Your authentic voice drives content success AI amplifies your ability to share it efficiently Want to learn our exact process for leveraging AI in content creation? I'll be giving it away for free next week while talking with Eoin Clancy from the AirOps team

How I Turn Real-Time Intelligence into Conversational Content This 90-second podcast started with a simple idea: How do you explain AI-powered marketing, agentic workflows, and OSINT in a way that actually connects with real people? So I used the same method I use in the field: ➡️ Step 1: Real-Time Signals I tapped into emerging chatter around AI swarms, automation fatigue, and data reliability from my intel feeds - open-source, behavioral, and market-based. This wasn’t guesswork; it was signal-driven. ➡️ Step 2: Conversational Framing I scripted it as a cafe-style conversation. Why? Because narrative unlocks understanding. People remember dialogue more than diagrams. ➡️ Step 3: Voice AI + Agent Stack I used voice synthesis to bring the conversation to life, routed it through a video generation platform, and layered light visual context. AI helped me scale tone, tempo, and pacing without needing a studio day. ➡️ Step 4: Publish in the Flow Now I’m sharing this piece as a proof of concept. This isn’t just a podcast - rather it’s a live example of agentic content production that reacts to what your audience cares about now, not weeks later. 🎧 Want to see how I blend OSINT, data, and agent stacks into marketing systems that listen, learn, and lead? Let me know what resonates - or if you want a walkthrough of how to do this in your org. #AI #OSINT #VoiceAI #ContentStrategy #B2BMarketing