Welcome to episode 34 of The GEO Show, the briefing on generative engine optimization, LLM citations, and AI search visibility. Brought to you by GEOforge.
In this episode, Paris Childress, founder of Hop AI and co-founder of GEOforge, covers eight GEO stories: Profound's $180M Series D at $1.8B, BrightEdge Agent Edge at the CDN, Google's AI position-metric concession, third-party listicles, Brandy's human vs AI citation gap, directories on supplier prompts, Benchmark Bureau sampling stability, and MarketScale's mention vs citation split.
In this episode:
🦄 Profound Series D: $180M at $1.8B
Co-led by Sequoia and Kleiner Perkins, less than seven months after a $96M Series C near a $1B valuation. TechCrunch reports revenue tripled in six months. 1,000+ enterprise customers. Public pricing page removed. Rising tide for the GEO category.
🌐 BrightEdge Agent Edge on CloudFront
Detects 650+ AI agents; can serve markdown to AI agents while humans and traditional crawlers get HTML. Vendor-reported +30% AI referral traffic for one customer. Cloudflare has a parallel path. Most useful for JavaScript-heavy sites; clean HTML sites may see little lift.
📊 Mueller: AI results are a block, not a position
Google's John Mueller: position is hard to make useful for AI features. Search Console Generative AI report tracks impressions/citations as a block. Tip: use Bing Webmaster Tools query fanouts to re-optimize already-cited pages.
📋 Third-party listicles: 85.8% of cold-start mentions
Search Engine Land: 85.8% of 437 source mentions from third-party listicles vs 14% brand listicle vs 0.2% PR. Roughly half of cited sources turned over in 30 days. GEOforge tactic: listicle swaps using a brand listicle as the barter chip.
✍️ Brandy: human pages ~5.7× AI pages in top citations
~900k AI answers / 4,210 cited pages. Top-25 human pages averaged 682 citations vs 119 for top-25 AI pages. Proprietary authorship classifier (correlation, not causation). Favor AI-assisted, human-edited content with information gain.
📁 Directories: 41% of supplier-prompt citations
citation.press: 3,850 commercial prompts across ChatGPT, Google AI Mode, Perplexity, and AI Overviews. Sector directories 41% of citations vs 18% brand-owned. Structured directories 3.1× free-text. Commercial-interest caveat; still a clear offsite signal.
📈 Benchmark Bureau: stable CRM recommendation sampling
600 answers / 200 US B2B CRM prompts / 3 waves. HubSpot 86%, Salesforce ~60%, Zoho 53%. Kendall tau-b 0.861-0.940. OpenAI only. Paris parallels SignalForge's 40-run sampling (±2%, >95% confidence).
🔀 MarketScale: mentions ≠ citations
399,088 AI responses; 112,677 brand mentions; 79,474 citations. ChatGPT ~30% mention / ~20% cite; Gemini ~25% / ~11%. 68% of mentions citation-backed. Split the signals. GEOforge overall SOV currently weights mentions 3:1 vs citations.
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💬 Question: If Profound's Series D is a rising tide for GEO, are you still measuring mention rate and citation rate as one blended share of voice?