Will GEO replace SEO? (Spoiler alert: Probably!) We dig into how generative engines are reshaping discovery, why executives are already making decisions from AI answers, and what brands should do now to show up accurately and credibly in AI results.

In this episode of AI-Curious, we sit down with Curtis Sparrer, co-founder and principal at Bospar PR (and president of the San Francisco Press Club). Curtis has been experimenting across models, building a GEO toolkit (“Audit-E”), and advising companies on how to fix AI-age brand visibility—especially when models get facts wrong or elevate low-quality sources.

What we cover

• GEO vs. AEO vs. classic SEO—clear definitions and where each matters
• How AI engines weigh sources (and why third-party, reputable coverage now carries outsized influence)
• The “AI content gold rush”: press releases, FAQs, and AI-first site architecture (schemas, structured info)
• Case study: correcting a widely propagated falsehood about a client (“not dead yet”) and the steps that worked
• Practical GEO hygiene: what to keep from the SEO playbook; what to adapt for AI reasoning
• Pitching in the AI era: why templated, “robotic” outreach backfires and how to use AI for ideation and structure, not the final draft
• Winners & losers: PR-skeptics vs. teams that proactively feed reputable signals to models
• Near-term predictions: from “AI ethics” to emerging AI manners—what will be considered rude or acceptable AI use in comms

Guest

Curtis Sparrer — Co-founder & Principal, Bospar PR; President, San Francisco Press Club.

Bospar:

https://bospar.com/

Forbes coverage of Audit-E launch

https://www.forbes.com/sites/digital-assets/2025/09/25/whats-in-your-search-why-generative-ai-is-the-new-front-door/

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What happens when “space robots” stop being sci-fi set dressing and start punching a clock? We dig into a new breed of microgravity robots that do the unglamorous work—so astronauts can do more science.

In this episode of AI-Curious, we talk with Ethan Barajas (CEO) and Jamie Palmer (CTO), co-founders of Icarus Robots, fresh out of stealth with a $6M raise. Their pitch is simple and radical: put agile, teleoperated robots insidespacecraft like the ISS to handle cargo, inspections, and maintenance—then use the resulting microgravity manipulation data to unlock partial (and eventually full) autonomy. We cover the tech, the economics (why astronaut time is so expensive), the AI roadmap, and a pragmatic path from today’s chores to tomorrow’s orbital factories and lunar bases.

What we cover

• Why astronaut hours are precious—and how robots can “augment” rather than replace them
• The form factor: free-flying, drone-like bodies with dual arms optimized for zero-G dexterity
• Inside first, outside later: a deployment strategy that lowers safety hurdles and accelerates learning
• Data advantage: building the first large microgravity manipulation dataset via continuous teleop
• AI’s role: from human-in-the-loop control to primitives to scalable dexterous manipulation
• Communications and latency: S-band today, laser links tomorrow; what “real-time” actually means
• The “orbital factory” thesis: pharma, semiconductors, fiber optics—and servicing orbital data centers
• Long-horizon forecasts: humans living and working in space; physical labor increasingly done by robots

Guests

• Ethan Barajas — Co-founder & CEO, Icarus Robots
• Jamie Palmer — Co-founder & CTO, Icarus Robots

Why this matters

If half of Earth’s GDP is labor, the space economy scales only when on-orbit labor scales. Teleoperated robots that learn from expert demonstrations—then graduate to safe autonomy—are a credible bridge from today’s stations to tomorrow’s factories, data centers, and off-world bases.

https://www.icarusrobotics.com/

What if “AI teammates” aren’t sci-fi at all, but the next mundane tool that quietly kills Monday dread?

In this episode of AI-Curious, we sit down with David Shim, CEO of Read.ai, to unpack what workers actually want from AI, how teams are adopting agents from the bottom up, and what a practical “digital twin” might do at work—minus the Black Mirror vibes. We cover fast-path ROI (meeting notes → action items), the shift from “prompts” to ambient workflows, and why the most valuable corporate asset may soon be the storage of intelligence—the living record of how your organization thinks and decides.

What we cover

• Why 70% of workers say they want AI agents—and what basic tasks deliver real ROI now
• A crawl-walk-run roadmap: note-taking → briefing → follow-ups → lightweight agents → digital twin
• “Storage of intelligence” as a competitive moat (institutional knowledge that doesn’t walk out the door)
• Guardrails, data separation, and how to make privacy concerns non-negotiable
• Bottom-up adoption: why employees are forcing IT’s hand—and how leaders should respond
• The macro view: augmentation vs. replacement, and the provocative idea that AI replaces computers (as the interface)

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Read.AI:

https://www.read.ai/