AIVO Journal

AIVO Journal – Governance Briefs AI assistants already influence brand consideration, product recommendations, and narrative formation. Many enterprise teams now monitor assistant outputs through visibility dashboards. That is healthy. Observation is always the first phase. A second phase has now begun. Visibility data enters planning cycles, messaging reviews, and executive briefings.

AI mediated discovery has moved from edge curiosity to core distribution infrastructure. Visibility in AI assistants is becoming a commercial dependency, not a marketing sidequest. The risk profile is asymmetric. A single model update or retrieval shift can remove a brand from category consideration overnight, with no warning and no

Editorial Board Large language models (LLMs) and agent systems are quickly becoming default information gateways. They influence how customers discover products, how investors seek context, and how regulated narratives are interpreted. As a result, brand presence within these AI surfaces—the generative interfaces of LLMs and assistants—has shifted from

Why multi-engine architectures make AI visibility unstable—and why governance now matters. 1. The Shift to Hybrid Intelligence The age of single-engine reasoning is over. Today’s leading models—GPT-5 (OpenAI), Claude 4 Opus (Anthropic), Gemini 2.5 Pro (Google DeepMind), Grok 4 (xAI), Llama 4 (Meta AI), and DeepSeek

AIVO Journal — Governance Commentary | Q4 2025 Summary By August 2026, under the EU Artificial Intelligence Act (Regulation (EU) 2024/1689), enterprises that use AI-generated data to make commercial, reputational, or financial decisions will need to demonstrate that such data is verifiable, traceable, and reproducible. This is more than a compliance

Why AIVO Standard uses live API recalls instead of scraped SERPs or bought datasets TL;DR: Every major brand now tracks its “AI visibility.” Most are doing it wrong. If your dashboard builds on scraped or resold data, it’s describing a memory of the market—not the market itself.

By the AIVO Standard Institute Abstract Large language models (LLMs) have become a primary interface for consumer discovery and decision-making. Yet 80% of brands that appear in the first LLM response vanish by the third turn—the point when purchase intent typically crystallizes. This article introduces the AIVO General Model,

Inside the conversation collapse that’s costing millions in AI-driven discovery. 1. The Illusion of Visibility SEO dashboards have taught us to equate being found with being chosen. That logic collapses inside AI assistants. In ChatGPT-5, Gemini 2.5, and Claude 4.5, visibility isn’t a single event—it’

AIVO Journal — Governance Announcement Date: October 28, 2025 DOI: 10.5281/zenodo.17428848 Abstract DIVM v1.0.0 introduces a governance-grade Data Integrity & Verification Methodology for AI Visibility, ensuring reproducible, auditable metrics across LLM ecosystems such as ChatGPT, Gemini, and Claude. It provides enterprises, auditors, and regulators with a

AIVO Journal — Governance Commentary | October 25, 2025 As AI assistants like Grok and Perplexity power 40% of searches in 2025, brands lean on live dashboards from Profound and Evertune to track visibility in the $33.7B Generative Engine Optimization (GEO) market. But visibility isn’t verifiability. Real-time data is fast

Tim de Rosen Abstract By mid-2026, AI assistants will handle over 40% of search queries, yet most brands lack auditable visibility metrics to navigate this shift. This article evaluates AIVO Standard™, a governance-focused framework, against tactical tools like Profound, Evertune, and Scrunch. With the Generative Engine Optimization (GEO) market projected

October 24, 2025 Mean reversion without stability: assistants are reshaping disclosure visibility in the industries that can least afford uncertainty. Market Overview Visibility across regulated sectors stabilized this week but failed to regain parity across assistants. Finance and pharma brands rebounded modestly, while aviation and telecom drifted further outside reproducibility

By Tim de Rosen, AIVO Standard In the past quarter, one in five tracked brands lost measurable visibility across AI assistants - without any change in marketing spend. As AI systems now mediate nearly a third of global consumer and B2B queries, this volatility is not campaign noise. It’s

Why the AI Visibility Dashboard Boom Signals a Crisis of Trust AIVO Journal — Governance Commentary | October 2025 In the past six months, more than a hundred new platforms have claimed to measure “AI visibility.” Each promises to reveal how brands appear across ChatGPT, Gemini, Claude, or Perplexity. Each offers a

1. The Governance Gap In finance, pharmaceuticals, and energy, artificial intelligence now shapes investor analysis, clinical insight, and operational risk modeling. Yet one critical question remains unresolved: Does the organization know whether its brand, product, or disclosure is visible within the AI-driven discovery pathways that matter? Traditional search analytics measure

AIVO Journal — Foundational Series, Q4 2025 Edition Executive Summary The AIVO Standard™ defines how visibility within Large Language Models (LLMs) can be measured, audited, and governed. As AI systems increasingly mediate discovery and decision-making, visibility has become a measurable financial exposure rather than a marketing abstraction. AIVO provides a standardized

By Paul Sheals — AIVO Journal, Governance Commentary Series No. 5 © 2025 AIVO Standard™ | All Rights Reserved Executive Summary Discovery mechanisms have changed again. Boards that once measured digital success through SEO dashboards now face a new reality: Large Language Models and AI assistants are the dominant decision interfaces. What defined

AIVO Journal — Governance Commentary © 2025 AIVO Standard™ | All Rights Reserved 1. The Fragmented Visibility Market The AI visibility market is expanding rapidly—and confusingly. Each week, new Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) dashboards promise to show how brands “appear” in ChatGPT, Gemini, Claude, or Perplexity. These

From Visibility to Eligibility in the Age of Agentic Commerce Author: Tim de Rosen Affiliation: AIVO Standard™ Disclosure: The author is Co-Founder of AIVO Standard™, the framework under which the PSOS and PSOS-E methodologies have been developed. No external funding influenced the preparation of this article. Abstract As AI transitions

Imagine signing a six-figure contract for an AI visibility dashboard, only to watch your “brand share in ChatGPT” vanish after a model update. Sound familiar? You’re not alone. As AI shapes how consumers discover brands - think ChatGPT recommending products or Gemini surfacing services - executives are racing to

Last week, Profound announced its new Model Context Protocol (MCP) integration—allowing users to inject Profound visibility and citation data directly into AI workflows via TypeScript and Python SDKs. The promise is clear: connect observability metrics to the same assistants (ChatGPT, Claude, Gemini) whose responses those metrics describe. It’s

Executive Note Assistant volatility accelerated this week. While total Prompt-Space Occupancy Score (PSOS™) movement narrowed, the direction flipped in multiple sectors — showing that brand visibility inside assistants behaves less like SEO drift and more like asset price volatility. Where incumbents rebounded, they did so unevenly; where challengers advanced, they began

AIVO Journal — Foundational Concept No. 11 Executive Abstract (120 words) AI assistants are rapidly becoming the new interface between brands and audiences. As exposure shifts from search engines to conversational systems, AI Visibility Management (AIVM) emerges as a critical enterprise discipline. What began as a MarTech responsibility is evolving into

AIVO Journal — October 2025 Context This analysis references statements made by Robby Stein, Google VP of Product, on Lenny’s Podcast (October 2025) and subsequent coverage by Search Engine Journal (Roger Montti, 2025). Introduction In his recent interview, Google’s Robby Stein downplayed AEO and GEO as distinct disciplines, explaining

Published in AIVO Journal, October 2025 Introduction Across the emerging field of assistant-visibility analytics—the measurement of how often and prominently brands, products, or entities appear in AI-assistant outputs—one pattern persists: identical prompts, run through different dashboards, rarely produce the same numbers. This isn’t deception. It is the