October 7, 2026
5 ways to use AI for tech PR in 2027

Five notes from an AI for PR & Comms meetup: from ChatGPT sending lots of traffic to media coverage becoming the new SEO.
Most comms plans right now feature AI somewhere between "brand awareness" and "thought leadership." But beyond the slogans, communication managers and tech founders are figuring out how to use it practically on an ordinary workday.
Here are five pragmatic ways to approach it:
1. GEO for your website
Websites can be built specifically for AI search—a strategy known as generative engine optimization (GEO). The routine is straightforward: ask AI what questions people are asking models about your category, which sources those models cite, and where your name lands in the answer. Think of it as PR for a reader who never sleeps and never replies to emails.
2. A media map for AI search
Models learn from major media outlets and frequently cite them in their answers. Instead of guessing where to pitch, use AI to map out the exact publications and blogs that language models rely on for your specific niche. A good article in one of those outlets works twice: once for current readers, and again every single time a user asks a chatbot about your industry.
3. A starting point for every role
Getting team members to post consistently on professional networks can feel like pulling teeth. Instead of asking people to write from scratch, build simple AI workflows tailored to different roles. A developer or sales lead can open a ready-made draft, tweak it, and make it sound like themselves in minutes. It turns a silent team into active channels.
4. Gap analysis for speaking gigs
To land conference slots, take an event's past agendas, feed them into an AI tool, and ask which relevant topics were completely missing from the program. Then, pitch the organizer directly on that exact gap. Organizers wade through stacks of repetitive applications, so a pitch that actually solves a hole in their lineup stands out immediately.
5. AI for the prep, a human for the pitch
There is a hard limit to automation: journalists and readers are exhausted by hyper-polished, AI-generated pitches and pristine reports. Raw text, rough notes, or even a voice memo often perform better. When every pitch sounds like the same corporate press office, a slightly messy message from someone who genuinely knows their stuff sounds like actual news.
The bottom line
AI is genuinely useful for the heavy lifting: the research maps, the initial drafts, and the homework. But the other half still belongs to whoever sounds like a real person. Let the tech handle the prep work, and keep the final human connection completely unfiltered.


