Tech · Analytics

Raw Data to Live Dashboards

Your numbers are scattered across a dozen tools in a dozen shapes. We let AI standardize them into one model, then hand it back as dashboards your team actually opens — each paired with an agent that watches it for you.

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Collect

Every tool you already pay for — CRM, payments, ads, analytics, spreadsheets, the database.

Standardize

AI reads each source and maps it onto one schema, so a customer means the same thing everywhere.

Containerize

One clean model, versioned and queryable, instead of six exports that disagree with each other.

Visualize

Dashboards designed to be read at a glance — and an agent paired to each board, watching for what changed.

Measured across

Perplexity

ChatGPT

Claude

Gemini

Grok

Copilot

01 · Standardize

One shape for everything

Every tool spells the same thing differently. Until that is fixed, no dashboard is trustworthy — you are averaging three definitions of a customer.

AI reads each source and maps its fields onto one schema
Values normalised — casing, currency, dates, duplicates
Conflicts surfaced rather than silently averaged

02 · Visualize

A board you actually open

Most dashboards get built once and never looked at again. These are designed like product: the number that matters is the biggest thing on the screen.

Built around the decisions you make weekly, not every metric available
Readable in five seconds on a phone or a wall screen
One board per audience — operator, owner, client

03 · Watch

An agent on every board

A dashboard waits to be read. An agent reads it for you, catches the threshold the moment it breaks, and brings a proposal — which you approve or dismiss.

Thresholds per metric, per campaign, per client
Proposals, not unilateral action — nothing moves without a human
Delivered where you already are: email, chat, or the portal

04 · Get cited

The board nobody else measures

Buyers now ask an AI before they ask Google. AI-search visibility ships as a board in the same stack: which engines name you, for which questions, and what to fix.

Tracked across ChatGPT, Claude, Gemini, Perplexity and Copilot
Entity, schema and topical-authority work to close the gaps
Competitor gap analysis on the same questions

Every Engagement Includes

The Full Analytics Stack

AI engine crawlability audit
Structured data implementation (JSON-LD)
Entity and knowledge graph optimization
Topical authority content strategy
Citation and mention monitoring setup
Competitor visibility gap analysis
Monthly AI visibility reporting

Pricing

Analytics Audit$500

Full Analytics BuildFrom $1,500

Monthly RetainerFrom $500/mo

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AI engines are answering your customers right now.

The question is whether they're citing you — or your competitors.

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