Modern Discovery product markLIVE

Modern Discovery

Modern Discovery: see whether AI recommends your brand.

SEO overlap with AI search has collapsed 60% in two years. Q2 2026 State of AI Search

Modern Discovery measures where you win and lose across ChatGPT, Gemini, Claude, and Perplexity, prescribes the move that closes the gap, and tracks the lift on your next pipeline run. 10,000+ AI model checks across 200+ brands measured.

In early 2024, around 76% of pages ranking in Google's top 10 were also cited by AI engines. By February 2026, that overlap had dropped to between 17% and 38%. Ahrefs measured 38% across 863,000 keywords. BrightEdge's methodology produces 17%. Two independent measurements, same direction.

Measure. Diagnose. Prescribe. Automate (V2).

Watch the Demo

See it in action

Watch the demo. Modern Discovery in a live engagement.

Discovery, By the Numbers

10,000+
AI model checks across the four major AI surfaces measured to date
200+
Brands measured across the AI shortlist economy
4
AI surfaces measured (Claude, ChatGPT, Gemini, Perplexity)
v2.0
Current methodology version (versioned, published, reproducible)

AI model checks counted across Claude, ChatGPT, Gemini, and Perplexity. Brands and product categories counted by distinct entities with at least one Discovery report on file. Methodology version log at /methodology.

App View. Intelligence Report

Every Modern Discovery engagement produces a versioned Intelligence Report: AI Shortlist Score, Agentic Share of Voice, Shortlist Share, and Consistency across every AI surface measured. Each metric carries the model run that produced it and the source attribution behind it. Read it before you trust it.

Modern Discovery Intelligence Report for an enterprise account showing AI Shortlist Score, Agentic Share of Voice, Shortlist Share, and Consistency metrics with cross-model data.

Measured Across

ClaudeChatGPTGeminiPerplexity

We measure your brand across the AI surfaces your Customers use. Cross-model coverage is the methodology, not a feature toggle. Additional surfaces (including Google AI Mode) appear in grayscale on the radial when they are designed for inclusion; full color requires a live pipeline integration.

App View. Recommendations + Applied

Every Discovery prescription comes with an Applied button. When your team acts, the platform captures the action and automatically measures the actual lift on the next pipeline run. The loop closes from diagnostic through to outcome on your own data, with the receipt attached.

Discovery recommendations panel with Applied status badge, prescriptive action card, and lift summary.

The Value Chain

Measure. Diagnose. Prescribe. Automate.

01

Measure

Shortlist Share, AVI, and Source Attribution across every AI surface, refreshed continuously.

02

Diagnose

Query Category Analysis surfaces where you are losing ground and which competitors are taking the slot.

03

Prescribe

Prescriptive playbook ranks the action by projected Shortlist Share lift, owner-assigned, scoped.

04

Automate

Optimized content injected into Reddit, blogs, knowledge bases, and structured data based on the gap analysis. Marked V2.

Capabilities

What You Get

Query Category Analysis

Five categories scored: awareness, comparison, recommendation, authority, use-case. Performance breakout per category per AI surface.

Competitive Landscape Mapping

See exactly which brands are taking the shortlist slot you want, on which queries, on which surfaces.

Prescriptive Playbook

Every gap comes with a prescribed action ranked by projected Shortlist Share lift. The Applied button captures your team's action and the platform automatically measures the actual lift on the next pipeline run.

Multi-Model Coverage

Claude, ChatGPT, Gemini, Perplexity. Methodology versioned and published per surface. Additional surfaces appear on the integration radial in grayscale until the pipeline integration ships live.

How Discovery Compares

Three Classes of Alternative, One Honest Read

Buyers evaluating Modern Discovery typically look at three classes of alternative. Here is where each class is strong, and where Discovery sits relative to it. Categories only, no brand names. You are the best judge of the fit.

01

Enterprise martech-suite tools

AI visibility offerings that ship as part of a larger enterprise martech suite. Strongest inside the suite's own analytics, CMS, and edge-delivery footprint.

Where the class is strong

Deep integration with the parent suite's CMS, analytics, and CDN. Custom-quote pricing with annual prompt-volume contracts. Best fit when the brand is already standardized on the suite.

Where Discovery sits

Discovery is stack-agnostic. It runs against any CMS, any analytics tool, any CDN. The agency or in-house team keeps the existing stack and adds a measurement loop on top, without renegotiating any suite contract.

02

Standalone enterprise platforms

Independent AI visibility platforms targeting the enterprise tier. Strongest on raw data scale or panel-volume coverage.

Where the class is strong

Large prompt-volume panels, sales-led enterprise motion, agency programs documented for centralized client management.

Where Discovery sits

Discovery publishes three annual tiers with hard floors, and three white-label reseller tiers with fixed-rate reseller pricing locked at contract execution. The agency can quote a Discovery package in the meeting. Methodology is public and versioned at modernai.io/ai-shortlist-score/methodology, so the brand and the agency both audit the same spec.

03

SMB and mid-market tools

Lower-priced AI visibility tools positioned at SMB and mid-market. Strongest on monthly pricing accessibility and breadth of named surfaces.

Where the class is strong

Low monthly entry pricing with annual discounts. Broad named surface coverage (often with paid add-ons for additional surfaces). Agency Partner programs with branded reporting and connector ecosystems.

Where Discovery sits

Discovery measures four production AI surfaces (ChatGPT, Claude, Gemini, Perplexity) on a single immutable methodology, then prescribes the action ranked by projected Shortlist Share lift and tracks the actual lift on the next pipeline run. The loop closes from diagnostic to outcome on the brand's own data, with the receipt attached.

Five to seven capability rows fit on a public page without naming brands. Agency-facing comparisons with named alternatives are available on request as part of a Discovery engagement conversation. Methodology is public at modernai.io/ai-shortlist-score/methodology.

Built for Industry

Where Discovery Measures the Shelf

01

Retail and Apparel

AI shortlists are the new shelf. Discovery measures whether your brand appears when a Customer asks an AI to recommend the category. Validated on multi-brand portfolio runs across kids apparel, gifting, and accessory categories.

02

Direct-to-Consumer

New-Customer acquisition increasingly starts in AI search. Discovery surfaces where the brand wins, where it loses, and which competitor is taking the slot.

03

High-Consideration Consumer

When the purchase decision involves research, the AI shortlist sets the consideration set. Discovery measures it across recommendation and comparison queries.

04

B2B Software

Procurement-stage research happens in AI shortlists. Discovery scores authority and use-case queries on top of the standard recommendation set.

05

Professional Services

Authority is the visibility lever in services. Discovery tracks authority queries by surface, surfaces the authority gap, and prescribes the content move that closes it.

06

Enterprise Content Teams

Authority and use-case query coverage is now table stakes. Discovery gives content leaders the dashboard, the prescription, and the measurement loop on a single platform.

Who It's For

Built for the Buyers Who Carry the Number

Enterprise Brands

Where being left off the AI shortlist costs real revenue. Fortune 500 apparel, regulated services, and category leaders defending share.

Product Companies

B2B software and prosumer SaaS evaluating against named competitors in recommendation and comparison queries.

Digital Agencies

Agencies running AI-shortlist programs for client portfolios. Multi-entity dashboarding, methodology pass-through, white-label outputs.

Enterprise Content Teams

Authority and use-case query teams who need a measurement loop on top of the content calendar.

Engagement

Book a Discovery Demo

Discovery engagements scope individually. We run one diagnostic conversation, map the brand to the query categories that drive your category, and quote in writing. Engagements start at $20K per year. No multi-stage sales process. One conversation, one quote, one platform.

Modern Discovery is one product in the Truth Layer of AI Systems from Modern AI. See also: Modern Gravity / Modern Friction / Modern Foundation.

Modern AI platform. Discovery (live). Gravity (GA). Friction (build). Foundation (live).