MCP ready

Every channel.
One picture.

The AI-native omnichannel marketing intelligence platform. Mosaic knows every platform, so your team doesn't have to.

  • Paid mediaGoogle Ads
  • Paid mediaMeta Ads
  • Paid mediaTikTok Ads
  • Paid mediaMicrosoft Ads
  • Paid mediaThe Trade Desk
  • Paid mediaCampaign Manager 360
  • MeasurementGoogle Analytics 4
  • MeasurementFloodlight conversions
  • Organic searchGoogle Search Console
  • Organic searchLanding pages (GA4)
  • SocialInstagram
  • SocialFacebook
  • SocialTikTok
  • SocialSprout Social
  • AI stackClaude
  • AI stackChatGPT
  • AI stackLocal models
  • AI stackJev by TypeSafe
  • AI stackPeec AI
  • AI stackSemrush
  • AI answer enginesChatGPT
  • AI answer enginesGemini
  • AI answer enginesGoogle AI Overviews
  • AI answer enginesGoogle AI Mode
  • AI answer enginesPerplexity
  • AI answer enginesCopilot

The problem

Nobody should have to be an expert in every platform.

Every ad platform, analytics tool and social network reports differently, defines conversions differently and hides the useful view three menus deep. Mosaic brings that fragmented data into one place, interprets it, recommends the next move and maps the path forward with its own knowledge base and decision layers.

  • UnifyPaid, organic search, social and AI answer data in one warehouse, refreshed every night.
  • InterpretA knowledge base of your brand, campaigns and naming, plus decision layers that know what each number means.
  • Recommend and build the pathSpecific next moves your team approves, then reports that write themselves.

One platform

Everything your marketing generates, read the way an expert would.

Four capabilities on one warehouse, so every view agrees with every other.

Paid, Organic Search, Social and AI visibility

One view across every channel, refreshed every night: spend, results, search demand, social engagement and how often AI assistants recommend you.

Paid searchPaid socialProgrammaticOrganic searchSocial
AI answer visibility6 engines tracked

Creative intelligence ✦ Prism

Every creative from every channel, kept in one library and read by Prism: what is in each ad, how it compares with similar ads, why it scores the way it does and what to test next.

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AI Recommendations Multi-model

Specialist AI models analyze, classify and explain, grounded in your data and approved by your team. Approved moves roll into a weekly report.

Multi-modelRefresh the two offer videos losing click-throughClick-through down 15% to 19% over 7 days on the same audience.
ApproveDecline

Institutional memory

Your knowledge base, every creative and every decision with its reason, in one place that outlasts any campaign or team change.

Approved: refresh offer videosReason kept with the decision
Declined: shift to displayAlready doing it
Glossary: what counts as brandRead by every model

✦ Prism creative intelligence

Better creative decisions, from every ad you've run.

Prism is Mosaic's creative intelligence agent. It watches every creative in your library, notes what is in it and compares it with similar ads on what it actually achieved. Your team sees what works, why each ad scores the way it does and what to test next, so the next round of creative is built on evidence and your budget backs the ads that earn it.

  • Watches every adThe opening seconds, people on screen, the offer, on-screen text, sound and format of every image, video and carousel.
  • A fair comparisonEach ad is ranked against similar ads (same brand, channel, objective and format), adjusted for spend, audience and season.
  • A Prism Score with its reasons0 to 100, with Stop and Hold for video plus Click, Convert and Fit, and the reasons behind the score in points.
  • One creative, counted oncePlatforms run one ad as a copy in every ad set. Prism rolls the copies into one creative with combined results, and ✦ Jev double-checks each grouping.
  • What works, and what to test nextFindings across your whole library, test ideas for every brand, and winning ideas worth borrowing from another business unit.

Every score is tested on ads Prism was not trained on, where it ranks attention and clicks well. Prism does not forecast bookings or revenue; those stay measured in your warehouse.

Multi-model orchestration

Many models. One accountable answer.

No single AI model is good at everything, and none should be trusted with your numbers. Mosaic routes each job to the model built for it, grounds every answer in your warehouse, and keeps people in charge of the decision.

  • Normalized dataOne definition of spend, conversions and funnel stage across every platform, rebuilt and checked every night.
  • Tagged at scaleEvery campaign, ad, search query, landing page, caption and AI answer labelled by stage, theme and offer.
  • Grounded in truthEvery number in a recommendation is computed in SQL from your data. Models never do the math.
  • Guardrails on every comparisonLike-for-like channels, minimum spend and sample sizes, and significance checks before anything is called a winner.
  • Abstains, never guessesBelow a confidence threshold a model says so, and the item is marked for review instead of forced.
  • Benchmarked every nightEach AI task is scored against hand-labelled gold sets and checked against rules. A drop sends an alert.

Knowledge base and institutional memory

People change roles. Mosaic remembers.

The context that usually lives in one person's head, or a spreadsheet nobody can find, lives in Mosaic: what you know, what you ran, what you decided and why. New team members start with it on day one.

Knowledge baseBrand facts, naming conventions, funnel definitions and a shared glossary. Every model reads it before it answers, so output stays on-brand and grounded.
Decision logEvery approval and decline, with the reason, kept forever. A decision sticks until the facts change.
Nightly snapshotsThe full set of recommendations and signals saved every night, so you can see what was open and when.
Creative archiveEvery asset you have run, with its score and its results, long after the campaign is paused.

How it works

From a dozen dashboards to one decision, every morning.

Mosaic does the platform work overnight. Your team starts the day with what changed and what to do about it.

  1. Step 1Connect

    Mosaic only reads from your ad, analytics, search and social accounts.

  2. Step 2Unify

    A private warehouse rebuilt every night, with automated quality checks.

  3. Step 3Orchestrate

    Specialist models, guided by your knowledge base, label, stage and score everything.

  4. Step 4Recommend

    Specific next moves with the numbers and the reason behind them.

  5. Step 5Approve and remember

    Your team decides; Mosaic remembers why and sends approved moves in a weekly report.

Inside Mosaic

The morning view your team actually opens.

What moved, why it moved and what to do next, on one screen, for every property you run.

app.internal-hub.com

Portfolio overview

Last 28 days · all properties
Spend$1.24M−8.1%
Conversions18,402+4.6%
Cost / conv.$67.38−12.2%
AI visibility54%+3 pts
Spend vs branded search clicks weekly
✦ Trend check fired12 weeks
Brand spendBranded clicks
To review 3 new
Multi-modelRestore brand spend before demand falls furtherBranded clicks track brand spend with a 2-week lag.
CreativeRebuild the first 3 seconds of offer videosHook rate half of story-led videos.
AI visibilityFix 4 facts AI assistants get wrongHours and amenities contradicted in 9 answers.

Illustrative data.

Organic and AI visibility

Know where demand comes from, and where AI recommends you.

Two questions most tools can't answer: which stage of the journey your search and social reach, and what AI assistants tell people when they ask where to go.

Search and social, by stage of awareness

Every search query, landing page and organic post sorted into the five stages of awareness, so you can see whether you are creating demand or only catching it.

Unaware
6%
Problem aware
4%
Solution aware
9%
Product aware
72%
Most aware
9%

AI answer visibility

How often ChatGPT, Gemini, Google AI, Perplexity and Copilot recommend you, who they pick instead, and which facts they get wrong.

ChatGPT
62%
Gemini
55%
Google AI Overviews
48%
Perplexity
66%
Copilot
39%
YouLeading competitor

Illustrative data.

MCP ready

MCP ready. Plug Mosaic into the AI your team already uses.

Mosaic speaks the Model Context Protocol (MCP), the open standard AI assistants use to reach tools. Ask your warehouse anything from Claude, ChatGPT or a private local model, and let specialist services feed and sharpen it.

  • ClaudeAsk questions and build reports from your warehouse
  • ChatGPTThe same read-only tools inside ChatGPT
  • Local modelsPrivate, on-premise models through any MCP client
  • Jev by TypeSafeFast classification: stage, theme, offer, format
  • Peec AIWhat AI answer engines say about you and rivals
  • SemrushRankings, keyword gaps and site health
Read-only by designThe database enforces it: connectors read approved views and nothing else.
No surprise API billsAnswers come from the nightly warehouse; a question never triggers a paid platform call.
Access per personAdmins switch it on per user, every call is logged, and access can be revoked at once.

Easy for everyone

Expert answers, no expert required.

Mosaic does the platform work, so anyone on the team, from the CMO to a new coordinator, can find the answer in seconds.

Ask in plain English

No SQL, no pivot tables. Ask a question and get the answer with the numbers behind it.

One morning view

What moved, why, and what to do next, for every property and channel, on one screen.

Reports that write themselves

Approved moves go out in a weekly email, grouped by property, with a link back to the evidence.

Invite in a click

Sign in with Google, invite teammates or clients, and give each the role they need.

Security and compliance

Built for enterprise data from day one.

Mosaic reads your most sensitive marketing data, so it is built to hold it carefully: least privilege everywhere, people in control of every decision.

Encrypted in transitEvery connection to Mosaic and its connector is encrypted with TLS.
Invite-only, role-based accessAdmins, collaborators and viewers. No public sign-up; people join by invitation.
Read-only AI accessAI features read approved views of your data. They cannot change it or your ad accounts.
Keys stay server-sidePlatform credentials stay in locked-down files on the server, never in the browser or in AI prompts.
Privacy-first dataPersonal fields are kept out of AI inputs, and small booking counts are hidden in AI answers.
Audited and rate-limitedEvery AI connector call is logged, and usage is capped per person.
Your data stays yours. Client data is never sold, distributed or used to train AI models.

Questions

Frequently asked questions

The short answers. The demo covers the rest.

What is Mosaic?

Mosaic (Marketing Operations, Spend and Analytics Intelligence Core) is the AI-native omnichannel marketing intelligence platform. It brings paid media, organic search, social and AI answer visibility into one warehouse every night, scores every creative, and turns the data into specific recommendations your team approves.

Which platforms does Mosaic connect to?

Google Ads, Meta, TikTok, Microsoft Ads, The Trade Desk and Campaign Manager 360 for paid media; Google Analytics 4 and Floodlight for measurement; Google Search Console and Semrush for organic search; Instagram, Facebook and TikTok through Sprout Social for social; and Peec AI for ChatGPT, Gemini, Google AI Overviews, Google AI Mode, Perplexity and Copilot.

How does Mosaic use AI without making things up?

Every number is computed in the warehouse with SQL, never by a language model. Specialist models only label, rank and explain. When a model is not confident it abstains and the item is marked for review, and every AI task is scored nightly against hand-labelled gold sets.

What is multi-model orchestration?

Mosaic routes each job to the model built for it instead of asking one model to do everything. A rules engine computes every number in SQL, a classifier model tags campaigns, ads, search queries and AI answers, an analyst model explains and answers questions, and Prism watches and scores every creative. The orchestration layer combines their work, checks it, and hands your team a recommendation to approve.

What is the Mosaic knowledge base?

The knowledge base holds your brand facts, naming conventions, funnel definitions and glossary. Every model reads it before it labels, explains or recommends anything, so answers use your language and your rules, and new team members inherit the same context on day one.

What is Prism?

Prism is Mosaic's creative intelligence agent, built to help your team make better creative decisions. It starts from each creative's DNA (how well it hooks, holds and engages) and adds what is in the ad, from the opening seconds to the people, offer, text and sound, then compares it fairly with similar ads. Every creative gets a 0 to 100 Prism Score with the reasons in points, plus findings on what works and ideas for what to test next. Scores are tested on ads Prism was not trained on, where they rank attention and clicks well. Prism does not forecast bookings or revenue; those stay measured in the warehouse.

Can I use Mosaic from Claude, ChatGPT or a local model?

Yes. Mosaic exposes read-only tools through the Model Context Protocol (MCP), so Claude, ChatGPT and MCP-compatible local models can ask questions, pull reports and read recommendations. Access is switched on per person and every call is logged.

Is our data used to train AI models?

No. Client data is never sold, distributed or used to train AI models. AI features have read-only access and cannot change your data or your ad accounts.

What does Mosaic remember?

Your brand facts, naming conventions, funnel definitions and glossary, every creative you have run, and every recommendation with the decision your team made and why. That memory stays when people change roles.

How is Mosaic different from a dashboard or a data connector?

Connectors move data and dashboards display it. Mosaic also interprets it: it reconciles definitions across platforms, labels and scores everything, recommends the next move with the evidence behind it, and records what your team decided.

See every channel in one picture.

A 30-minute walkthrough on data like yours: what Mosaic connects, what it finds, and how your team approves the next move.