The AIVO Standard™ v2.2: Integrating GEO, AEO, and LLM Visibility into a Multimodal AI Search Framework
Abstract
The rapid adoption of large language models (LLMs) and multimodal AI systems has redefined how information is discovered, retrieved, and presented. Traditional SEO, designed for live, text-based indexing, fails to address how AI platforms integrate pre-trained text, image, and video data into generated answers.
AIVO Standard™ v2.2 introduces a structured methodology for AI Visibility Optimization (AIVO), unifying Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), and LLM visibility into a single, measurable framework.
Stage 5.11: Visual Search and Multimodal Asset Readiness
The most significant addition in v2.2 is Stage 5.11, which:
- Treats images and video as Tier 1 discovery channels.
- Provides practical checklists for visual asset optimization.
- Benchmarks citation density, provenance, and visual entity clarity for inclusion in AI-generated answers.
This is the first framework to operationalize visual asset discoverability for AI search.
Why GEO, AEO, and LLM Visibility Are Subordinate Disciplines
- GEO focuses narrowly on generative outputs.
- AEO targets answer engine panels.
- LLM Visibility measures model recall.
The AIVO Standard™ incorporates all three into a life-cycle model:
- Ingestion Layer Optimization — Schema, metadata, and structured data for AI capture.
- Recall Testing — Prompt-based measurement across AI platforms.
- Attribution Integrity — Ensuring the correct entity is cited in AI answers.
- Multimodal Readiness — Text, image, and video equally optimized.
Implications for Brand Strategy
Research confirms AI Overviews both cannibalize clicks and intensify competition for visibility. Under AIVO Standard™, brands shift from chasing clicks to securing recall and attribution inside AI answers — where preferences are shaped.
Conclusion
GEO, AEO, and LLM Visibility remain useful tactical lenses, but they are subordinate to AIVO Standard™. Version 2.2 formalizes the multimodal dimension of AI search, ensuring persistent discoverability across the text-image-video spectrum.
Reference:
de Rosen, Timothy, The AIVO Standard v2.2: A Framework for Multimodal AI Search and Visibility Optimization, SSRN, Aug 2025. DOI: 10.2139/ssrn.5390001