The AI Recommendation & Discovery Intelligence Platform

Media Kit

AI Discovery Intelligence

Understanding How Artificial Intelligence Recommends Brands

§ 01 · Company Overview

About GOSH AI .

GOSH AI is the AI Recommendation & Discovery Intelligence platform. ARDI™(AI Recommendation and Discovery Intelligence) is the proprietary measurement system at the heart of the platform: the framework that quantifies how AI models describe, cite, and recommend brands. Through ARDI™, GOSH AI tracks these patterns continuously across categories, geographies, and stages of buyer intent.

For two decades, marketing leaders optimized for being found. The category shift now underway moves the question from can buyers find us to do AI systems recommend us. The two are not the same. Search rewarded brands that ranked. AI rewards brands that earn citation, recommendation, and trust inside a generative answer.

GOSH AI exists to measure that recommendation behavior continuously, surface where brands stand inside it, and equip marketing leaders to build authority for AI discovery. The work is not search engine optimization with a new label. It is a different practice, built for a different technology layer, where AI interprets meaning, weighs authority, and chooses trusted answers rather than displaying lists of links.

Our Mission

AI now sits between buyers and the brands they choose. GOSH AI exists to make that layer measurable, the authority that shapes it defensible, and the consequence of ignoring it visible.

§ 02 · The Industry Shift

From search results to AI recommendations .

The transition from search-led discovery to AI-mediated recommendation is documented across every major analyst firm. The data converges. The strategic implication does not.

Gartner

25%

Search engine volume drop projected by 2026 as buyers shift to AI assistants and answer engines.

McKinsey

$750B

Generative-AI economic impact by 2028; 50% adoption; 20-50% organic traffic loss for unprepared brands.

Bain & Company

80%

Of consumers now use AI-generated summaries during the buying journey; 60% of searches end without a click.

Forrester

94%

Of B2B buyers use AI tools during research; only 1 in 10 AI answers receives a click-through to source.

Sources: Gartner press release (Feb 2024), McKinsey & Company (Oct 2025), Bain & Company (Feb 2025), Forrester (Feb 2026).

§ 03 · Flagship Research

The Authority Gap .

GOSH AI's flagship research, drawn from 75,000+ AI citations across 8,000+ brands, identifies a structural pattern in how AI systems handle category authority. Most brands occupy one of four positions, and the rarest one is the one most companies assume they hold.

State 01

Full Authority

AI cites you and recommends you.

You are both trusted and chosen. The strongest position, and the rarest.

State 02

Borrowed Authority

AI recommends you but does not cite you.

You may be visible, but your proof layer is weak. Vulnerable to displacement.

State 03

Unconverted Authority

AI cites you but does not recommend you.

You have trust signals, but they are not converting into selection. Recognition without recommendation.

State 04

Invisible

AI neither cites nor recommends you.

You are absent from the AI-mediated decision path. The most urgent state to address.

Read the full white paper at mygosh.ai/the-authority-gap.

§ 04 · The Platform

ARDI™ in three layers .

GOSH AI delivers ARDI™ as a three-layer platform. Each layer answers a different question. Together, they give marketing leaders a continuous read on AI recommendation behavior, a benchmark to measure against, and a moving picture of how their position is changing.

01 · Diagnose

Snapshot

A point-in-time diagnostic

A point-in-time diagnostic of AI recommendation presence.

A lightweight diagnostic baseline. Shows whether AI surfaces the brand, who is recommended instead, how AI describes them, and whether deeper Authority work is warranted.

02 · Benchmark

Authority

The proprietary benchmark

The proprietary benchmark for AI trust, citation, recommendation, and displacement.

The standardized scoring framework. A 26-prompt buyer-journey baseline tested against 6 AI models, with the four-state authority classification, a 90-day phased authority roadmap, and a complete citation landscape.

03 · Track

Signal

A compounding intelligence layer

A compounding intelligence layer that tracks AI recommendation behavior over time.

The data moat. Month-over-month movement, displacement patterns, category-level visibility shifts, model-by-model variance, citation-to-recommendation conversion, and emerging patterns.

Snapshot shows where you stand. Authority shows whether AI trusts and recommends you. Signal shows how that position is changing over time.

Search created rankings. Social created attention graphs. AI is creating recommendation markets.

§ 05 · The ARDI™ Research Base

The largest AI recommendation dataset in commercial use .

GOSH AI's research base is built on continuous, structured measurement. Every observation is reproducible. Every finding is anchored in real prompt data, not anecdote.

75,000+

AI citations analyzed across the buyer journey.

8,000+

Brands and entities tracked across categories.

Leading AI models continuously monitored.

70+

Categories spanning consumer, B2B, healthcare, and franchise systems.

Platforms tracked: ChatGPT · Claude · Gemini · Perplexity · Grok · Microsoft Copilot

§ 06 · The Shift

From search to AI discovery .

The mechanics of how a buyer finds a brand have fundamentally changed. The intermediating layer is no longer a list of links. It is a generated answer that names specific brands, often with reasoning, sometimes with citations.

Traditional Search Era

User asks a question Typed query, keywords

Search engine processes query Google or Bing

Search results page appears List of websites and links

User scans options Visual triage of titles and snippets

User chooses a brand Click-through, evaluate, decide

AI Discovery Era

User asks a question Conversational, full-sentence intent

AI assistant processes query ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok

AI generates a direct answer Natural language response, often with citations

AI selects brands to mention Pre-selection happens before any human evaluation

AI recommends specific brands The brand surfaced is the brand considered

GOSH AI studies and influences the recommendation layer of AI discovery.

§ 07 · Leadership

The team behind ARDI™ .

Eric Torres

Founder, GOSH AI

Eric Torres is the founder of GOSH AI, the AI Recommendation & Discovery Intelligence platform. He leads the company's research, product development, and enterprise engagements, and is the architect of ARDI™.

His career began in 2005 at NASCAR as a client relations manager on the UAW Ford account at Talladega Superspeedway. He went on to Nielsen Media Research as one of four Global Communications Managers in Chicago, where he learned the analytical side of marketing. He later served as Chief Marketing Officer at Hitch Crowdsourced Delivery, then founded and ran Brandiversity, a Tampa-based B2B and B2C growth marketing practice.

Across more than two decades of work with multi-national clients, Eric has navigated every major shift in digital marketing and built the analytical fluency he now brings to GOSH AI.

Magdalena Buchardt

V.P. Strategic Accounts, GOSH AI

Magdalena Buchardt leads the European rollout of ARDI™ as Vice President of Strategic Accounts at GOSH AI. She works directly with brand and franchise leaders across the region to translate AI authority intelligence into commercial action.

A strategist, writer, and advisor focused on AI visibility, brand authority, and high-value markets, Magdalena brings a background in finance, marketing, and business coaching, with more than two decades of international experience.

Her approach is direct, practical, and focused on helping brands earn the authority to be selected when it matters most.

§ 08 · Press Commentary

Available for commentary on .

GOSH AI's leadership is available for comment, interview, and editorial contribution on the following topics. For interview requests or quote attributions, contact media@mygosh.ai.

The shift from search-led discovery to AI-mediated brand recommendation

The Four Authority States framework: Full, Borrowed, Unconverted, Invisible

How brands build authority that AI systems can cite and recommend

AI hallucination, misattribution, and brand reputation risk

Competitive displacement events inside AI recommendation layers

The franchise system AI authority opportunity at the corporate level

Citation governance and the upstream authority layer AI models read from

Critical infrastructure procurement in an AI-recommendation environment

Why traditional SEO and AI authority are different disciplines

The emerging AI Authority Leader as an executive function in business

§ 09 · Press Boilerplate

Verified company descriptions .

Pre-approved boilerplate language for direct copy and use. No further attribution required. For longer-form descriptions or category-specific framings, contact press.

25-Word Description

GOSH AI is the AI Recommendation & Discovery Intelligence platform. Powered by ARDI™, the company measures how AI models describe, cite, and recommend brands across categories.

50-Word Description

GOSH AI is the AI Recommendation & Discovery Intelligence platform. Through ARDI™, the company measures how leading AI models including ChatGPT, Claude, Gemini, Perplexity, Grok, and Microsoft Copilot describe, cite, and recommend brands across more than 70 categories. GOSH AI's research informs marketing leaders, franchise systems, and enterprise brands navigating the shift from search to AI-driven discovery.

100-Word Description

GOSH AI is the AI Recommendation & Discovery Intelligence platform, founded to address how artificial intelligence is reshaping brand discovery. Through ARDI™, GOSH AI measures how leading AI models, including ChatGPT, Claude, Gemini, Perplexity, Grok, and Microsoft Copilot, describe, cite, and recommend brands across more than 70 categories. The platform tracks recommendation behavior over time, identifies competitive displacement events, and surfaces the citation patterns that influence which brands AI systems treat as authoritative. GOSH AI's research, including its Authority Gap white paper, informs marketing leaders, franchise systems, and enterprise brands navigating the shift from search to AI-driven discovery.

§ 10 · Brand Assets