Observed Signal · Dec 1, 2025 · Partnership · Source: AdExchanger · Impact: 2/5 · Sentiment: Positive
Guideline.ai Revolutionizes Media Planning with AI Insights
Guideline.ai, an AI-powered media intelligence platform founded in 2020, aims to remove guesswork from media planning by aggregating real transaction data from agency billing systems into anonymized, industry-wide benchmarks on spend and performance. The company describes a 'give to get' data-sharing model with holdcos and large independents, returning an executive dashboard with actionable insights while preserving privacy. By combining actual historical spend by publisher, unit types, and pricing, Guideline.ai seeks to help agencies plan more effectively, defend budgets, justify spend to clients, and negotiate stronger terms with publishers. The platform also leverages AI to extract qualitative trends from data. Kelley Train, Guideline.ai's VP of Data and Strategic Alliances, advocates data-driven decision making and notes past roles at Omnicom Media Group and PHD Worldwide.
Represents a data-driven platform approach and a data-sharing model with industry participants, with moderate industry impact.
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Key Takeaways & Evidence Grounding
- Guideline.ai is an AI-powered media intelligence platform founded in 2020.
- It collects data from agency billing systems and provides anonymized, aggregated benchmarks on spend and trends.
- Guideline.ai uses a 'give to get' data-sharing model with holdcos and large independents, delivering an executive dashboard.
- The platform helps agencies inform planning, justify spend, and strengthen negotiations with publishers.
- Kelley Train is the VP of Data and Strategic Alliances at Guideline.ai, with prior roles at Omnicom Media Group and PHD Worldwide.
Connected Companies & Entities
4 Entities mappedRelated Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Guideline Launches Transaction-Level Ad Intelligence
Guideline announced that its Ad Intelligence data now captures verified, transaction-level advertising activity across AI platforms, providing an independent view of advertiser behavior on emerging AI channels. The company's proprietary dataset covers roughly $200 billion in annual media investment across 65 countries and is sourced from transaction data rather than surveys or platform disclosures. The product is available via Guideline’s Insights and Ad Intelligence Suite, with offerings for institutional investors (KPI Revenue Forecasts), agencies (Market Monitor™ weekly subscription), and enterprise clients (custom market sizing and benchmarking). The launch aims to close the information gap about how AI platforms — including those from OpenAI and Perplexity — are monetizing ads and how advertiser spend compares to platform projections.
Guideline Launches KPI Forecast 2.0 for Capital Markets
Guideline announced KPI Forecast 2.0, an enhanced analytics product that uses the company’s proprietary ticker-level ad spend data to deliver quarterly revenue KPI forecasts for institutional investors such as hedge funds, mutual funds and quantitative managers. The suite offers both simple tools that complement other alternative data and advanced modeling capabilities for quantitative approaches, aiming to reduce forecast error (MAPE) and surface investment signals like shifting ad budgets and category dynamics. KPI Forecast 2.0 builds on Guideline’s Data Insights Service (launched September 2025) and is positioned as part of a series of 2026 product launches expanding the firm’s analytics and AI-powered offerings. Sean Wright, Guideline’s Chief Insights and Analytics Officer, is quoted on the product’s predictive use of ad spend data.
Guideline Launches WRAP Cloud SaaS Analytics Platform
Guideline, a provider of Ad Intelligence and Media Plan Management solutions, has launched WRAP Cloud, a SaaS-based, AI-powered version of its audience analysis platform WRAP. WRAP has been used by the television industry for over 30 years to analyze linear TV and CTV ratings. WRAP Cloud brings this trusted methodology to any browser with no installation required, enabling broader access across publisher, agency, and brand teams. It includes local daily ratings, CTV audience measurement, and multi-market analysis, with enterprise-grade security features like single sign-on and role-based access. The platform is AI-enabled through Model Context Protocol (MCP) and embedded agentic workflows, allowing for continuous improvement without manual upgrades.
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