It’s Halloween season. Ghosts and goblins may be spooky, but here’s something even scarier for tech marketers: Generative AI is already outpacing traditional search, and most brands still don’t have a GEO (generative engine optimization) strategy in place.
If LLMs aren’t surfacing your content, your prospects might never see it, no matter how strong your SEO game once was. That’s why, this month, we’re spotlighting practical steps to make your brand discoverable in an AI-first world.
Plus, with AWS re:Invent and CyberMarketingCon 2025 right around the corner, our team will be on the ground, connecting with the community and sharing the latest in tech marketing innovation. Let us know if you’ll be there. We’d love to meet up!
The Tech Marketer’s Guide to Generative Engine Optimization (GEO)
Search is undergoing a seismic shift. And so is the path to brand visibility. Today, your prospects are as likely to discover you through a generative AI answer as through a classic search result.
Most tech marketers recognize the stakes: if large language models (LLMs) aren’t citing your brand, you risk getting left behind. Yet despite this awareness, many teams still don’t have a clear, actionable strategy for GEO (Generative Engine Optimization) success.
That’s why this month, we’re spotlighting our essential guide to GEO. Inside, you’ll learn:
- What GEO actually means (and why it’s not just SEO rebranded)
- What GEO actually means (and why it’s not just SEO rebranded)
- Why LLM visibility is now a make-or-break metric for B2B tech marketing
- Why LLM visibility is now a make-or-break metric for B2B tech marketing
- Common traps marketers fall into when chasing “AI discoverability”
- Common traps marketers fall into when chasing “AI discoverability”
- Step-by-step tactics for making your content quotable by both search engines and generative AI
- Step-by-step tactics for making your content quotable by both search engines and generative AI
- Real-world examples and use cases from tech brands ahead of the curve
If you’re ready to future-proof your content and ensure your brand is found, cited, and trusted wherever your buyers look, this guide is your new playbook.
Get end-to-end practitioner-driven tech content at scale: videos, white papers, cheat sheets, thought leadership, blog posts, and more.
Ahead of AWS re:Invent and CyberMarketingCon 2025, check out these AWS and security samples from our portfolio:
- How to Mitigate API Security Risks & Vulnerabilities in 2025 (and Beyond) (Wiz – blog post)
- Automate Data Replication and Disaster Recovery Using BlueXP Workload Factory on AWS (NetApp – community blog)
- What Is SAST? (Wiz – video)
Want to see more samples?
Tech Marketers: Prototype Your Prompts Like You Prototype Campaigns
Want your GenAI content to resonate with technical buyers?
Treat prompt engineering as a marketing experiment, not a guessing game.
Start by defining your ideal reader (cloud architect, DevOps lead, or CISO) and the single takeaway they should remember.
Use direct, context-rich instructions in your prompts:
- “Draft a LinkedIn post for data engineers about new compliance risks. Keep it technical, concise, and actionable.”
- “Rewrite this solution brief for product marketers. Emphasize time-to-value and use real customer scenarios.”
Test and iterate. Run side-by-side prompt experiments, review outputs, and refine until the tone, depth, and messaging land perfectly. Finally, document and share your best prompts in a team library.
When you prototype your GenAI prompts with the same rigor as your campaigns, you get credible, on-brand content—every time.
For more tips, see:
Ready to drive performance with practitioner-led, GenAI-powered marketing?
