AI-powered media intelligence and planning built on $200B+ in real transaction data from the world’s leading agencies
Guideline (guideline.ai) combines two products: an Ad Intelligence platform built on aggregated billing data from major holding companies and independents, and a Media Plan Management (MPM) platform for global teams. The distinguishing feature is the data source — Guideline pulls actualized transaction data directly from agency billing systems, not rate cards, surveys, or projection models. That means what the industry actually paid, not what it should have paid.
In 2025 and early 2026, Guideline significantly accelerated its AI layer with three major product launches: the AI Agent for conversational spend intelligence (October 2025), the AI Factory for automated placement classification (February 2026), and an MCP Server enabling external AI agents to interact directly with media plan data (March 2026).
What Makes Guideline Different
The core differentiator is data provenance. Most competitive intelligence tools in advertising — including estimation services and panel-based platforms — use projection models or rate card data. Guideline uses actual billing transactions from agencies. According to Kelley Train, VP of Data and Strategic Alliances at Guideline, “We’re getting actualized data from billing systems. We’re not going off of rate cards or what someone thinks should have been paid. We’re not using projection models, ad occurrences, surveys or scraping, so we’re able to show what really happened versus what we think happened.” (AdExchanger)
This approach gives buy-side teams real pricing benchmarks for negotiation, and gives sell-side teams (broadcasters, publishers) actual market share and competitive pricing intelligence.
Key Features
AI Factory
Launched February 11, 2026, the Guideline AI Factory is an internal innovation engine built to accelerate the delivery of AI-powered capabilities across Guideline’s Ad Intelligence and Media Plan Management products. It is not a standalone product — it is the operating model behind Guideline’s AI feature pipeline.
The AI Factory’s first output is AI Digital Placement Classification: a capability that converts inconsistent digital media placement names into standardized, decision-grade reporting. Digital placement names carry valuable signals about ad format, audience targeting, buying method, and content specifics, but were created to execute campaigns — not to function as a clean data model. Guideline’s classification engine uses a hybrid approach combining deterministic rules-based matching (for known patterns and structured naming conventions) with natural language processing (NLP) for contextual interpretation and long-tail variants.
What distinguishes Guideline’s approach is what the company calls “governed transparency” — customers can see not just the classification output, but the reasoning behind how each placement name was interpreted. This auditability matters in enterprise environments where strategic oversight is required.
Alberto Leyes, SVP of AI Innovation at Guideline, described the goal: “By applying AI in a disciplined and transparent way to our aggregated industry pool data, we can now translate that signal into structured data that unlocks previously unseen intelligence for our buy and sell-side customers across investment, pricing, revenue, and audience impressions.” (PR Newswire)
Additional AI Factory capabilities planned for 2026 include strategic planning assistance, ad investment and pricing analysis, yield optimization workflows, content acquisition insights, and sales enablement tooling.
AI Agent
Launched October 2025, the Guideline AI Agent is a conversational interface built directly into the platform’s customer-facing data layer. Users ask questions in plain English and receive answers as text, charts, tables, visual comparisons, or diagnostic context — without manual data pulls or waiting on reporting cycles.
Core capabilities include:
- Automated Visualizations: Every query generates a customizable chart or table
- Data Export & Sharing: Download results in PNG, CSV, or XLSX for use in presentations and workflows
- Custom Analytics: Filter, compare dimensions, and adjust visuals to surface patterns and outliers
- Dynamic Dashboards: Pin and organize visualizations into interactive dashboards that evolve with each new question
CEO Vincent Mifsud described the vision: “Our customers can now move from a plain English question to decision in seconds, accelerating time to value, enhancing insight readiness, and unlocking new ways to apply differentiated intelligence across their organizations.” The AI Agent is designed to move beyond descriptive and diagnostic intelligence toward predictive and prescriptive guidance as it matures.
MCP Server
Launched March 5, 2026, the Guideline Media Plan Management MCP Server allows any MCP-compatible AI agent — including Claude, ChatGPT, or proprietary internal tools — to connect directly to Guideline’s media plan management platform. No custom API development or integration work is required.
The MCP Server is built on the Model Context Protocol, the open standard for agentic AI connectivity originally introduced by Anthropic and now adopted by OpenAI, Google, and Microsoft. The protocol has become the de facto standard for AI-to-tool connectivity; industry analysts project 75% of enterprise gateway vendors will support MCP by end of 2026.
Practical use cases enabled by the MCP Server:
- Querying campaign status, budget allocation, and vendor performance conversationally
- Running plan-to-actual comparisons across clients, campaigns, and markets in a single conversation
- Generating summaries and reporting within AI tools already embedded in daily workflows
- Multi-step analysis without switching between platforms or pulling manual exports
The server provides secure, read-only access, giving agencies confidence that plan data remains protected. Steve Silvers, Guideline’s Chief Product Officer, described the strategic intent: “We’re meeting our clients where they are by integrating with their own AI-powered workflows. By adopting the Model Context Protocol, we’re giving agencies and brands the freedom to bring their own AI agents and unlock the full power of our platform without the friction of traditional integrations.”
Comprehensive Data Platform
Guideline’s proprietary spend and pricing data represents approximately $200 billion in annual media investment across 65 countries — updated figures from the March 2026 Local Dynamics launch. The platform sources this data through a “give to get” model: holding companies, large independents, and niche agencies contribute anonymized billing data and receive executive dashboards back for custom slices of the aggregated pool.
The data covers:
- Ad spend by category, channel, and market
- Pricing benchmarks from actual transactions (not rate cards)
- Forward-booking data and upfront spending patterns
- Media mix and allocation by category and sector
- Share-of-wallet and competitive spend analysis
Local Dynamics
Launched March 19, 2026, Local Dynamics is a subscription report delivering quarterly analysis of advertising investment across local markets. Coverage spans 175+ DMAs and 100+ product/service sub-categories investing in local media (OOH, TV, radio, and digital). Unlike traditional market intelligence built on estimates, Local Dynamics is powered by real transaction-level data.
Use cases include tracking category-level ad demand across local markets, pinpointing which categories drive local revenue growth, arming sales teams with data-backed pricing narratives, and identifying underpriced inventory against market benchmarks.
Media Plan Management Platform
The planning platform addresses the fragmentation problem most media teams face: dispersed spreadsheets, disconnected systems, and delayed decisions. Key capabilities include:
- Custom taxonomies and role-based permissions for global teams
- Standardized templates with consistency across markets and geographies
- Automated approval workflows, version control, and report scheduling
- Seamless third-party integrations with client systems
- Real-time insights centralized in a single database
Data Scale and Market Position
- ~$200B in annual global media spend represented, across 65 countries (Guideline, March 2026)
- 90% of top global media companies use Guideline’s data solutions
- All 5 top US broadcasters leverage Guideline
- 6 major agency holding companies are data partners
Pricing
Guideline does not publish pricing. The platform operates on custom enterprise contracts only — no self-serve tier, no published price list.
- Pricing model: Custom; contact sales
- Typical structure: Likely based on data access scope, number of users, markets covered, and product modules (Ad Intelligence vs. Plan Management vs. both)
- Local Dynamics: Available as a subscription report, separate from the full platform
- Getting started: Request a demo at guideline.ai; dedicated sales team for enterprise contracts
Neither G2 nor Capterra have verified pricing data for Guideline. The enterprise-only positioning reflects both the data sensitivity involved and the custom configuration requirements of major holding companies and broadcasters.
Frequently Asked Questions
What is Guideline AI? Guideline AI is an advertising data and media plan management platform that aggregates real transaction data from agency billing systems to produce market intelligence on ad spend, pricing, and media mix. It serves both the buy side (agencies, brands) and sell side (broadcasters, publishers). Unlike panel-based or model-estimated intelligence tools, Guideline’s data comes from actual billing records.
What is the Guideline AI Factory? The AI Factory, launched February 2026, is Guideline’s internal infrastructure for accelerating AI product development across its Ad Intelligence and Media Plan Management tools. Its first product release is AI Digital Placement Classification — automated categorization of digital ad placements using a hybrid of rules-based matching and NLP. Additional AI Factory capabilities are planned throughout 2026 covering strategic planning, pricing analysis, yield optimization, and sales enablement.
What is the Guideline MCP Server? Launched March 5, 2026, the Guideline MCP Server allows any MCP-compatible AI agent (Claude, ChatGPT, or proprietary tools) to connect directly to Guideline’s media plan management platform. Teams can query campaign status, budget allocation, and vendor performance conversationally — without custom API development. It provides secure read-only access and supports multi-step analysis across campaigns, clients, and markets.
How much does Guideline cost? Guideline does not publish pricing. The platform is enterprise-only, sold through a custom contract process. Pricing likely depends on data scope, user count, markets, and product modules. Contact guideline.ai for a quote.
How does Guideline’s data differ from Nielsen or Comscore? Nielsen and Comscore produce audience measurement data — who is watching, reading, or listening to what. Guideline produces spend and pricing intelligence — what advertisers actually paid, in aggregate. The data sources are different: Nielsen uses metered panels and set-top-box data; Comscore uses device-based measurement; Guideline pulls from actual agency billing transactions. The tools are often complementary rather than competing — a planner might use Guideline for spend benchmarks and negotiation and Nielsen for audience measurement.
Who uses Guideline AI? Guideline serves both sides of the media market. On the buy side: media agencies, independent agencies, brand in-house teams, and investment analysts use it for market intelligence, planning, and competitive benchmarking. On the sell side: broadcasters, publishers, and station groups use it for competitive pricing analysis, market share tracking, and revenue management. The 90% adoption rate among top global media companies reflects both buy and sell-side usage.
What is Guideline Local Dynamics? Local Dynamics, launched March 2026, is a subscription report delivering quarterly transaction-level benchmarks across 175+ US DMAs and 100+ advertising sub-categories. It covers OOH, TV, radio, and digital, and is designed for agencies, publishers, and station groups that need category-level spend data in local markets.
Is Guideline only for large holding companies? Guideline’s core data partnerships are with major holding companies and large independents, but the platform serves a range of buyers and sellers. Mid-size agencies and brand in-house teams use the Ad Intelligence products; the Media Plan Management platform scales to different team sizes. The enterprise-only pricing model does effectively filter out very small organizations.
User Reviews & Social Proof
No verified user reviews for Guideline are available on G2 or Capterra. The platform’s enterprise positioning, specialized use case, and data sensitivity (agencies contributing anonymized billing data) limit public review volume.
However, adoption signals are strong: 90% of top global media companies and all five top US broadcasters use Guideline’s solutions. The platform was profiled by AdExchanger in December 2025 as a notable intelligence platform addressing a persistent industry need for transaction-based data versus modeled estimates.
The company, founded in 2020, has grown its data pool to approximately $200B in annual spend across 65 countries, suggesting strong data contribution from its agency partners — which is effectively a validation of the platform’s utility.
Guideline vs Alternatives
Guideline vs Comscore
Comscore is an audience measurement platform tracking who watches, reads, or engages across digital and TV. Guideline measures what advertisers actually paid. The two serve fundamentally different questions: Comscore answers “who is this audience?” while Guideline answers “what did this media cost and how does that compare to market?” Both are used by agencies, but for different workflow stages — Comscore for audience planning and campaign measurement, Guideline for spend benchmarking and competitive pricing intelligence.
Guideline vs Nielsen Media Impact
Nielsen Media Impact is a cross-channel reach and frequency planning tool built on Nielsen audience measurement. It helps planners optimize GRPs and audience delivery across TV, digital, and other channels. Guideline addresses a separate need: actual market pricing and spend data from billing transactions. A planner might use Nielsen Media Impact to optimize audience delivery and Guideline to validate whether the rates being negotiated are in line with what the market actually paid.
Guideline vs GWI
GWI (formerly GlobalWebIndex) is a consumer survey platform covering 50+ countries, providing attitudinal data on consumer preferences, media consumption, and brand perceptions. Guideline is a spend and pricing intelligence platform built from billing transactions. GWI tells you what audiences think and do; Guideline tells you what advertisers are spending and paying. These tools address adjacent but distinct needs in the planning workflow.
Guideline vs MRI-Simmons
MRI-Simmons is the gold standard for US consumer psychographic data — 60,000+ data elements on American consumer attitudes, brand preferences, and media consumption for audience profiling and activation. Guideline focuses on ad market intelligence and plan management. The two are complementary: MRI-Simmons informs audience strategy, Guideline informs market pricing and competitive benchmarking.
Guideline vs Basis
Basis is an end-to-end programmatic and media management platform with integrated DSP, campaign management, and reporting capabilities for digital media execution. Guideline is primarily an intelligence and planning layer — it does not execute media buys. Teams may use Guideline for market intelligence and plan management upstream, then execute digitally through a platform like Basis. There is limited direct competitive overlap.
Recent Updates (2025–2026)
- March 19, 2026: Launched Local Dynamics, a new subscription report with quarterly transaction-level ad spend benchmarks across 175+ US DMAs and 100+ advertising sub-categories covering OOH, TV, radio, and digital
- March 5, 2026: Launched Media Plan Management MCP Server, enabling any MCP-compatible AI agent (Claude, ChatGPT, proprietary tools) to connect directly to Guideline’s media plan management platform
- February 11, 2026: Launched AI Factory with initial release of AI Digital Placement Classification, using hybrid rules-based and NLP classification to standardize digital ad placement data at scale
- December 2025: Profiled by AdExchanger as a media intelligence platform built on transaction-based agency billing data — “what really happened versus what we think happened”
- October 2025: Released AI Agent for conversational ad spend and pricing intelligence — plain-English queries return charts, tables, and dashboards from Guideline’s market data in seconds
Explore More Media Planning Tools
- Comscore — Cross-platform audience measurement for TV, digital, and connected devices
- Nielsen Media Impact — Cross-channel reach and frequency planning built on Nielsen audience data
- GWI — Global consumer survey data across 50+ countries for audience profiling and media planning
- MRI-Simmons — Deep US consumer psychographic data across 60,000+ elements for national audience strategy
- Basis — Integrated programmatic and digital media management platform for campaign execution
- Bionic — Purpose-built media plan creation with flowcharts, RFP management, and trafficking tools
- Mediaocean — End-to-end agency media management with billing and reconciliation
- Keen — AI-powered marketing mix modeling for budget optimization and revenue forecasting
Planning Resources
- Linear TV Strategy Framework for CPG — Free planning resource
- Programmatic Display Checklist for Technology — Free planning resource
- Programmatic Display Guide for Retail — Free planning resource
From the Blog
- Best Media Planning Tools for 2026 — From our blog