In this episode of The Ross Simmonds Show, Ross breaks down why showing up in LLMs like ChatGPT, Claude, and Perplexity is the biggest marketing shift of our time and why treating it like SEO 2.0 is a losing strategy. He walks through five practical plays to build citation authority, dominate AI visibility, and engineer the kind of distribution leverage that compounds long after you press publish.
Key Takeaways and Insights:
1. The Shift from SEO to GEO
- In 2018, Reddit was dismissed. In 2026, it powers over 60 percent of bottom-funnel LLM citations. Google, OpenAI, and Anthropic are actively licensing and training on Reddit data.
- Most teams are still optimizing for keywords and backlinks. GEO rewards authority, citations, and entity strength. The game has changed and the old playbook will not save you.
2. Play 1: Build a Citation Stack with Original Research
- LLMs prioritize strong signals. Non-commodity content, original data, research, and clear POV outperforms generic blog posts every time.
- Make every stat screenshot-friendly and quotable. Pitch your research to publications already cited in LLMs to compound authority and become the source models reference.
3. Play 2: Plant Flags in Communities
- Reddit is one of the most cited sources in major LLMs. Identify three communities where your audience actually spends time and show up there consistently.
- Use the Sherlock Homeboy Method: revive proven topics with a modern angle. Contribute value without pitching. Build reps. Create a moat competitors cannot climb.
4. Play 3: Engineer Your Entity Graph
- LLMs see entities, not webpages. Companies, people, and products are all connected. Guest posts, podcast appearances, and transcripts strengthen your entity signal.
- Consistent handles, bios, and positioning across platforms increase recognition. Say the same thing clearly thousands of times. Strategic repetition builds authority.
5. Play 4: Structure Content for Extraction
- LLMs extract facts and quote passages. They ignore fluff. Use inverted pyramid writing: answer first, explain second.
- Clear H1, H2, and H3 hierarchies improve both human and machine comprehension. Schema, lists, tables, and internal linking help models understand and cite your content.
6. Play 5: Distribution Is the Final Moat
- One asset. Fifty distributions. Multiple citation paths. Most brands post once and disappear. Winners distribute relentlessly.
- Every surface, LinkedIn, Reddit, YouTube, Substack, and podcasts, becomes training data. Distribution compounds trust with both humans and machines.
7. The Future: AI Agents Will Change Buying Forever
- By 2038, AI assistants will mediate most purchasing decisions. Buyers will not browse. They will delegate.
- The content LLMs train on today will shape tomorrow's recommendations. If you are not building your moat now, you will be rebuilding from scratch later.
8. The Long-Term Advantage Goes to Those Who Invest in Themselves
- The skills that worked in 2018 will not carry you to 2038. Read. Study. Experiment. Adapt.
- Earned momentum compounds through disciplined execution. Play the long game.
Resources & Tools:
🔗 ChatGPT 🔗 Claude 🔗 Perplexity 🔗 Reddit 🔗 Google 🔗 OpenAI 🔗 Anthropic 🔗 LinkedIn 🔗 YouTube 🔗 Substack
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The Ross Simmonds Show