A quantitative reliability benchmark for AI-mediated visibility AVII is the first benchmark that turns “we saw our brand in ChatGPT” into “here is the cryptographically-signed evidence pack, sir.” 1. The Problem: Visibility Without Integrity Large language models now shape consumer discovery, investor context, and competitive perception. Executives can see their

By AIVO Journal — Governance Commentary This week, three visible advocates in the emerging LLM-optimization space—Graphite, AthenaHQ, and Surfer—each published their argument for naming the new discipline of optimizing for large language models. Graphite’s Ethan Smith promoted AEO (Answer Engine Optimization), AthenaHQ’s Alan Yao argued for GEO

AI systems now influence demand formation, brand preference, and purchase routing. Leaders who treat this as a marketing trend misunderstand the nature of the exposure. Visibility in AI assistants is not a campaign variable. It is a controllable risk surface with measurable impact on CAC, LTV, and brand equity. If

Date: Tuesday, November 4, 2025 On Monday, November 3, 2025, the submission deadline for GEO vendor reproducibility tests closed. No submissions were received. This does not signal failure of any individual company. It signals the current maturity of the category. GEO products are evolving fast, yet independent verification workflows are

Enterprises are moving past experimentation with AI. The central question has shifted. It is no longer whether AI can generate insight. It is whether those insights can withstand internal audit review and external scrutiny when they inform board materials, earnings language, strategy models, and policy decisions. Perception is insufficient in

The notion that a handful of dominant assistants will monopolize discovery stems from search-era habits. Google once molded consumer intent; a few enterprise platforms dictated institutional workflows. Centralization produced a single axis of visibility and a lone optimization lever. That world is gone. The generative layer obliterates the economics of

Category: Practitioner Case Study Designation: Anonymised Global CPG Brand Cycle Duration: Six Weeks Audit Type: Continuous Visibility Stability Audit Certification: Internal Audit Sign-off Achieved Executive Summary AI assistants now influence brand perception, product discovery, investor context gathering, and competitive consideration. As these systems become distribution rails, visibility stability within them

Leaders conditioned by the search era often ask when large language model surfaces will settle. The expectation is understandable. Search rewarded optimisation, patience, and the belief that systems eventually reach equilibrium. AI mediated environments do not operate on that logic. Stability is not delayed. Stability is not a future state.

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