{"slug": "root-cause-of-visibility-in-the-age-of-ai", "title": "Root Cause of Visibility in the Age of AI", "summary": "Tamanna Haque, co-founder of GenSight.AI, discussed Generative Engine Optimization (GEO) on the Root Cause podcast, explaining that as users shift from search engines to AI chatbots like ChatGPT, Gemini, and Perplexity, brands must adapt to being the single answer rather than one of many results. Haque emphasized that GEO is distinct from SEO, that AI trusts platforms like Reddit, Capterra, and G2, and that her platform uses deterministic scoring with LLMs as data extractors, never graders.", "body_md": "What is Generative Engine Optimization (GEO), and does it replace SEO? In this episode of Root Cause we get to the root cause of what happens to being findable when people stop Googling and start asking ChatGPT, Gemini or Perplexity. With search engines, a human picks from a list of results. With AI search, the model gives one answer and one recommendation, and if you are not in it, you are not in the consideration set. That shift is what GEO (also called AI search optimization or AI visibility) is trying to address.\n\nWe cover GEO vs SEO and why good SEO is only a subset of AI visibility; the what, where and how of AI-readable content (which topics, which sites like Reddit, G2 and Capterra AI trusts, which formats); whether GEO feeds the AI slop machine (AI-generated content is no more readable to LLMs than human writing, and three purposeful articles beat ten); how fast-changing models affect what you optimize; why millennials using ChatGPT as a search engine and Gen Z using it as a companion are two different problems for a brand; B2B vs B2C vs creator use cases; and the fairness question of manufacturing a persona that ranks above the better product. Then the technical part: how you get a deterministic, credit-score-style AI visibility score out of non-deterministic LLMs, why the LLM should be a data extractor and never a grader, and practical GEO advice for content creators (know your proposition, get cited where AI trusts, transcribe your videos, and yes, bring back the blog).\n\nMy guest is Tamanna Haque, mathematician, lead data scientist with a decade of production AI on real customer data, and co-founder of [GenSight.AI](http://GenSight.AI), a GEO platform she built in her personal time with her husband Jonas. This is her first public conversation about it, and I came in openly skeptical.\n\n## Chapters and Topics\n\n00:00 Introduction of the Episode and the Guest\n\n02:56 Why Build a GEO Product in the Evenings: Eating Your Own Dog Food\n\n06:08 What Is Generative Engine Optimization?\n\n07:21 GEO vs SEO: Being an Option vs Being the Answer\n\n10:48 The What, the Where and the How of Being Visible to AI\n\n11:51 Does GEO Feed the AI Slop Machine?\n\n15:05 Models Change Fast: Optimize Once or Forever?\n\n17:02 Millennials Search, Gen Z Chats: Two Different Problems\n\n20:46 B2B vs B2C vs Creators: Who Benefits Most?\n\n22:35 Manufacturing a Persona: Who Deserves the Top Spot?\n\n26:58 Deterministic Scores from Non-Deterministic Models\n\n29:39 The LLM as Data Extractor, Never a Grader\n\n31:44 Free Advice for Creators: Know Your Proposition, Bring Back the Blog\n\n36:09 Book Recommendation: Harry Potter\n\n38:05 Question from Fraser Merrifield: Top Movies\n\n39:46 Question for the Next Guest: Which Pet Would You Have?\n\n40:38 Closing\n\nFind Tamanna at:\n\nFind me (Nune) at:\n\nLinkedIn:\n\n[https://www.linkedin.com/in/nisabek/](https://www.linkedin.com/in/nisabek/)Substack:\n\n[https://www.thoughtfultechnologist.com/](https://www.thoughtfultechnologist.com/)\n\n## References\n\nReferences mentioned during the talk (in order they appeared):\n\n01:34 - GenSight.AI, the GEO platform Tamanna co-founded with her husband Jonas\n\n11:26 - Review sites Tamanna names as inherently trusted by AI: Reddit, Capterra, G2\n\n26:58 - GenSight.AI methodology: deterministic scoring, the LLM as data extractor, never a grader\n\n[https://gensight.ai/methodology](https://gensight.ai/methodology)\n\n36:38 - Harry Potter, Tamanna’s book recommendation\n\n[https://en.wikipedia.org/wiki/Harry_Potter](https://en.wikipedia.org/wiki/Harry_Potter)\n\n37:23 - Harry Potter and the Methods of Rationality, the alternative universe I mentioned from my episode with Evan Marshall\n\n38:05 - Question from Fraser Merrifield (”top five movies”), his Root Cause episode\n\n38:46 - Casino Royale (2006)\n\n[https://en.wikipedia.org/wiki/Casino_Royale_(2006_film))](https://en.wikipedia.org/wiki/Casino_Royale_(2006_film)))\n\n39:08 - The Mission: Impossible films\n\n[https://en.wikipedia.org/wiki/Mission:*Impossible*(film_series)](https://en.wikipedia.org/wiki/Mission:*Impossible*(film_series))", "url": "https://wpnews.pro/news/root-cause-of-visibility-in-the-age-of-ai", "canonical_source": "https://www.thoughtfultechnologist.com/p/root-cause-of-visibility-in-the-age-436", "published_at": "2026-08-24 14:38:42+00:00", "updated_at": "2026-08-24 15:13:12.108756+00:00", "lang": "en", "topics": ["generative-ai", "ai-products", "ai-tools"], "entities": ["Tamanna Haque", "GenSight.AI", "ChatGPT", "Gemini", "Perplexity", "Reddit", "Capterra", "G2"], "alternates": {"html": "https://wpnews.pro/news/root-cause-of-visibility-in-the-age-of-ai", "markdown": "https://wpnews.pro/news/root-cause-of-visibility-in-the-age-of-ai.md", "text": "https://wpnews.pro/news/root-cause-of-visibility-in-the-age-of-ai.txt", "jsonld": "https://wpnews.pro/news/root-cause-of-visibility-in-the-age-of-ai.jsonld"}}