Verify your brand visibility across ChatGPT and Perplexity using citedby.
Try citedby freeIn its official 2026 guidance, Google Search [Search Engine Journal: Busts claim] Central declared that optimizing for generative AI search is simply optimizing for the search experience, and is fundamentally still SEO.
As marketing teams pivot from traditional Google search optimization to Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO), unverified claims regarding are AEO and GEO different from SEO | Separate SEO Disciplines have spread rapidly through industry podcasts and agency webinars.
Many teams rush to adjust their publishing workflows based on assumptions about how large language models parse web content. However, systematic testing reveals that LLMs like ChatGPT, Perplexity, and Gemini follow distinct retrieval mechanics that contradict superficial advice.
In its official 2026 guidance, Google Search [Search Engine Journal: Busts claim] Central declared that optimizing for generative AI search is simply optimizing for the search experience, and is fundamentally still SEO.
AI answer engines retrieve documents directly [Primary Position: Busts claim] from web search indexes using standard relevance, authority, and indexability signals.
Treating AEO/GEO as a disconnected discipline [Writesonic: Study] leads to fragmented strategies that ignore foundational search engine optimization.
This fact-check evaluates and synthesizes empirical research from 5 primary studies, benchmark datasets, and technical documentation entries:
Popularized by GEO agency decks and SaaS vend [Search Engine Journal: Busts claim] ors positioning "old SEO" as extinct to sell new optimization software.
When AI models execute retrieval-augmented generation (RAG) queries, they convert user prompts into vector embeddings and retrieve matching document chunks. Rather than evaluating standalone claims in isolation, engines synthesize answers across multiple authority nodes.
Integrate AI citation optimization into your existing SEO team and processes rather than creating isolated silos.
This claim is false (MYTH). Evidence confirms that In its official 2026 guidance, Google Search Central declared that optimizing for generative AI search is simply optimizing for the search e.
Popularized by GEO agency decks and SaaS vendors positioning "old SEO" as extinct to sell new optimization software.
AI engines extract citations by evaluating topical authority, sentence-level answer capsules, entity sentiment, third-party press, and live search indexes rather than technical tags alone.
Integrate AI citation optimization into your existing SEO team and processes rather than creating isolated silos.
This fact-check synthesizes 5 primary benchmark studies and technical documentation references from publishers including Search Engine Journal, Google Search Central, Primary Position, Flowtrix, Writesonic.
Search practitioner Edward Sturm notes that because LLMs pull information from search engine index pipelines, technical SEO, keyword intent mapping, and authority building remain the exact foundation required for GEO.
MYTHSearch strategist David Quaid lined up every core optimization pillar, semantic relevance, entity trust, content structure, freshness, and crawlability, and demonstrated that they are identical across both SEO and GEO.
MYTH (core fundamentals) / BUST (multi-source distribution)This claim represents one of the most contested debates in modern search. On-page technical and content fundamentals are shared directly with traditional SEO.
MYTHSearch Engine Land's 2026 strategic analysis emphasizes that modern SEO must target brand recognition, entity trust, and citation share rather than static rank position.