What is Prism?
Prism is Pixis’ AI-native marketing operating system.
It replaces passive dashboards and disconnected point solutions. Instead, Prism serves as an intelligent, always-on decision layer that turns data into action. Prism uses the Model Context Protocol (MCP), which means it can easily reach across siloed data. It unifies marketing, finance, and strategy so every stakeholder works from the same trusted intelligence.
Plus, Prism doesn’t just tell you what happened—it explains why, recommends what to do next, and can even execute steps to adjust bids, budgets, audiences and campaigns when you approve.
How is Prism different from dashboards and BI tools, or general-purpose AI?
- Dashboards & BI tools show descriptive metrics, but they don’t prescribe next steps or reduce the time from insight to execution.
- General-purpose LLMs like ChatGPT can summarize data but lack native integrations, marketing context, and governance. They require heavy prompting and custom development to be useful in day-to-day marketing.
- Prism is purpose-built for marketers. It connects directly to ad APIs, continuously cleans and normalizes performance data, and responds with structured outputs like charts, tables, and simulations. It acts as a decision layer—not just a reporting tool.
How is Prism different from general-purpose Large Language Models (LLMs) like those provided by OpenAI or Anthropic?
Put simply, Prism is purpose-built to help marketers handle marketing-specific daily tasks at speed. It connects directly to ad platform and e-commerce APIs, continuously cleans and normalizes performance data, and responds with structured outputs like charts, tables, and simulations.
This means that Prism has access to all the data and context it needs to give you truly valuable insights. ChatGPT, Claude, and other AI chat tools may allow you to connect data sources, but require technical configuration and custom MCP server set up. Prism delivers cross-channel insights and connection of siloed data sources out of the box.
Prism also includes pre-built, tested prompts built for performance marketing teams, so you don't need to adopt complicated prompt-engineering practices or spend time tweaking responses.
Who is Prism designed for?
Prism is built for performance-driven teams who want to move faster, with more confidence, and less manual work.
The types of companies or marketing teams that benefit most from Prism are:
- Fortune 2000 Enterprises with complex, global systems, multiple agency stakeholders, or long planning cycles
- Upper/mid-market brands trying to scale with lean marketing teams and democratize performance insights across teams
- Small brands who want to scale efficiently, uncover what’s working in real time, and optimize spend without adding extra headcount
- Agencies managing multiple clients, balancing performance, creative, and efficiency
How does Prism solve challenges like tool sprawl, slow decision cycles, and siloed workflows?
Marketing teams have no shortage of tools and data. Our customers often find us when they tire of juggling dozens of disconnected tools, waiting days or weeks for analyst reports, and struggling to connect creative, strategy, and media.
Prism unifies these functions into one system. It centralizes data, diagnoses performance shifts, and recommends prioritized actions so you can adapt campaigns in real time instead of reacting weeks later.
What is the Model Context Protocol (MCP), and why is it important for marketers?
MCP is the framework at the core of Prism. Unlike traditional Extract, Transform, Load (ETL) processes, MCP synchronizes models with real-time context from marketing, finance, and creative systems. This means recommendations aren’t generic. They’re role-aware, security-governed, and based on fresh, validated data.
Which platforms can Prism connect to today?
- Meta Ads: Facebook, Instagram & Facebook Messenger
- Google Ads: Search, Display, Video & Performance Max
- SEMrush: competitive search and keyword analysis
- Google Sheets: live connection for attribution and cross-platform metrics
- Meta Ads Library (For insights about how your competitors are advertising on Meta's platforms)
- Google Ads Transparency Center (For competitive insights about how competitors are showing in Google Ads)
- TikTok: Currently in beta
- Shopify: Currently in beta
Which platforms and integrations are coming soon?
Prism is expanding rapidly, always adding new, critical ad tech, attribution and e-commerce platforms. Appsflyer, Google Analytics, Microsoft Teams and Slack are all coming soon.
How does Prism integrate into existing marketing tech stacks?
Prism layers on top of your existing tools. You connect your accounts with one-click OAuth, so there's no developer work required. It integrates seamlessly with platforms like Meta, Google, Shopify, and Appsflyer, and it will soon connect directly to Pixis’ Advance and Adroom products for full execution. This means you'll be able to ask Prism to do more than just read and interpret data across channels - you'll be able to request that it take actions on your behalf, too.
How quickly can Prism create new performance marketing reports from a prompt?
- Under 1 minute: Simple reports such as account overviews, campaign summaries, or single-metric tables.
- 1–2 minutes: Moderate reports like creative audits, multi-campaign analysis, or chart generation.
- 2+ minutes: Complex reports such as full account audits, multi-dimensional breakdowns, or 90+ days of cross-platform attribution analysis.
How does Prism handle large datasets and long campaign histories?
Prism is built on infrastructure with more than 2.5B parameters. It processes large data volumes and extended time ranges without sacrificing accuracy, so you can analyze months of campaign performance in just a few minutes.
How can I customize the outputs Prism gives me?
Prism lets you tailor outputs directly in your prompts:
- Choose from charts (line, bar, pie, scatter, mixed)
- Adjust colors, labels, and dimensions
- Customize table formats, metrics, and sorting
- Filter by campaign, audience, or date range
- Use Google Sheets integrations to generate template-based reports
Direct upload of custom PDF or branded templates isn’t supported today, but outputs are structured for easy export.
How does Prism ensure that data is accurate and fresh?
Prism applies always-on data hygiene, validating accuracy, freshness, and structure of incoming signals. Each time you prompt Prism, it retrieves the most relevant, up-to-date data in real time, and checks it for accuracy. You can trust that insights are based on real-time data, not outdated reports.
How does Prism keep data secure?
Prism is enterprise-ready from day one. It is SOC 2 compliant, ISO certified, and GDPR compliant, with AES-256 encryption at rest and TLS 1.2 encryption in transit. Role-based access controls and audit trails ensure complete governance.
Will my company’s data ever be used to train Pixis’ global AI models?
No. Your marketing data always stays private, siloed, and is never used to train Pixis’ global models.
Can Prism simulate performance scenarios, such as budget reallocations or changes to channel mix?
Yes. Prism’s simulation engine allows you to test scenarios like shifting spend between campaigns, reallocating budgets from prospecting to retargeting, or adjusting channel mix. You get clear, data-backed forecasts before committing to changes.
How does Prism identify performance changes and recommend actions to fix them?
Prism uses statistical methods to automatically detect anomalies such as unexpected spend spikes, rising CAC, or creative fatigue. It then explains the “why” behind changes and generates prioritized recommendations, helping you act quickly with confidence.
Can Prism analyze creative effectiveness at the hook or concept level?
Yes. Prism goes beyond asset-level metrics to analyze creative elements like hooks, messages, and formats. It can identify what’s driving high CTR or where fatigue is hurting ROAS, then suggest refreshes or new concepts.
How does Prism help tie marketing performance directly to ROI and margin?
Prism connects performance data to financial outcomes like ROI, CAC, and margin. It helps leaders see the direct impact of marketing decisions on revenue and profitability, making reporting and board communication easier.
How does Prism make it easier for teams to collaborate across strategy, media, and creative functions?
Prism acts as a shared intelligence layer. Instead of each team working in silos with different tools and metrics, everyone—from strategists to creatives to media buyers—works from the same trusted insights and recommendations. This creates faster alignment and smoother execution.
What makes Prism a better choice for enterprises than lightweight AI tools or point solutions?
Unlike general LLMs, Prism has built-in marketing context and direct integrations with ad platforms, so it doesn’t guess—it predicts. Unlike point solutions, it doesn’t just automate one task at a time. Prism unifies marketing, creative, and finance data, enabling orchestrated actions across channels with full governance.
How long does it take to onboard Prism and connect ad accounts?
Onboarding is simple and fast. Most teams can connect accounts using one-click OAuth and start generating insights in minutes.
Can Prism support multiple brands under one organization?
Yes. Prism uses a workspace model. Each workspace maps to a brand, and each brand workspace can include multiple ad accounts. This makes it easy to manage multiple brands or clients within a single organization.
Can Prism support agencies managing multiple clients?
Yes. Agencies can connect unlimited accounts under each user seat, scale their client coverage, and deliver consistent, high-quality insights across campaigns.
How does Prism help smaller teams scale without adding more analysts or ops staff?
By automating reporting, spend pacing, anomaly detection, and creative audits, Prism frees up valuable time. Smaller teams can manage complex, multi-channel campaigns without increasing headcount.
How does Prism help agencies deliver client-ready reports and actionable recommendations?
Prism generates polished reports in minutes, complete with charts, tables, and narrative insights. Agencies can walk into client meetings with performance diagnostics, ROI analysis, and clear optimization recommendations—without hours of manual prep.
How does Prism perform competitive analysis, and what insights does it provide?
Prism analyzes public ad libraries on Meta and Google as well as competitive search data from SEMrush and other publicly available information about competitors, like their websites. You’ll see competitor ads, creative breakdowns, keyword overlaps, and market benchmarks, along with recommendations to outpace them.
Does Prism work in real time?
Yes. Prism continuously refreshes data through direct integrations, so the insights you see reflect the latest performance signals.
Can Prism replace manual spreadsheets and automate repetitive reporting workflows?
Yes. Prism eliminates manual data wrangling by generating live, customizable reports and dashboards. It can also connect with Google Sheets for template-based reporting. Direct PDF or branded template uploads aren’t supported yet.
What safeguards ensure AI-driven recommendations are safe and auditable?
Prism is built with enterprise governance in mind. All AI actions are logged with audit trails, permissions are role-based, and you approve every action before it’s executed.
Can Prism be deployed on-premise?
Yes. On-prem deployment is possible for enterprises with specific requirements. Contact the Pixis team to discuss options.