『"AI Is Confidently Wrong About Your Brand" — Closing the Loop with Stellarcast』のカバーアート

"AI Is Confidently Wrong About Your Brand" — Closing the Loop with Stellarcast

"AI Is Confidently Wrong About Your Brand" — Closing the Loop with Stellarcast

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When someone asks ChatGPT, Claude, Perplexity, or Gemini "what's the best X?", a few brands get named — and most companies have never checked whether they're one of them. Somya Goyal built Stellarcast to change that: a platform that watches how your brand shows up in AI answers, diagnoses why you're missing, ships the fix, and then proves the needle moved.

After 15+ years in quality engineering — eight of them at Accenture, then leading QA and building validation frameworks for AI systems — Somya is a first-time founder building Stellarcast in the open from India. In this conversation with host Jeremy Rivera, she breaks down why AI citations are a different game from search rankings, why "AI is confidently wrong" about so many brands, and how a continuous monitor-diagnose-execute-prove loop beats the one-time audit.

In this episode
  • The monitor → diagnose → execute → prove flywheel — and why most tools "stop at the dashboard"
  • Why citations aren't rankings: AI answers overlap Google's top ten by only ~14%
  • AEO in plain English — make your brand easy for AI to find, understand, and read
  • Why "AI is confidently wrong", citing two-year-old pricing and reviews even after fresh data lands
  • Treating LLM answers as a "liquid surface" — freshness, lag, and query-deserves-freshness in AI
  • CMS integrations (WordPress, Shopify, Webflow) that turn diagnosed gaps into approved, shipped fixes
  • Somya's leap from 15+ years in QA to first-time founder — and the exposure of shipping under your own name
  • Market fit for SMBs and agencies, with the human always in the loop
Chapters
  • (00:00) Meet Somya Goyal & what Stellarcast does — a "system of AI records"
  • (02:30) The four-agent loop: monitor, diagnose, execute, prove
  • (05:45) CMS integrations & building in the open with pilot design partners
  • (08:10) How the models behave differently — and why citations aren't rankings (~14% overlap)
  • (12:20) Freshness, lag, and the "liquid surface" of LLM answers
  • (16:05) AI as your least-trained support rep — the rogue knowledge base
  • (19:15) Somya's background: fifteen years in QA to first-time founder
  • (22:40) Market fit: SMBs, agencies, and the human-in-the-loop
  • (25:30) Early access & pricing
Notable quotes

"Visibility in AI is simple. Make your brand easy for AI to find, understand, and read. That is the new name of AEO, in very simple English."
— Somya Goyal"Ranking is different and citation is different. AI citations overlap Google's top-ten links by only fourteen percent."
— Somya Goyal"Most brands have never read what AI says about them, and sometimes AI is confidently wrong. It cites data that's maybe two years old — the pricing, the reviews — even after a lot of fresh data."
— Somya Goyal

Resources & links
  • Stellarcast — AI brand-visibility platform (monitor, diagnose, execute, prove)
  • Somya Goyal on LinkedIn — where she's building in the open
  • When AI is "confidently wrong" the fix is filling the gaps with human-certified, expert-sourced content
  • Monitoring your brand's AI footprint and entities is exactly where SEO advisory...
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