Advanced Analytica

#withbrando

Generative AI has the power to turn organisations into intelligent, adaptive systems. But most businesses aren’t ready — because their data isn’t structured, discoverable, or AI-friendly.

To fill this gap, Advanced Analytica has developed Brando^® - an AI Optimisation and Governance Framework, a declarative system that turns brand policy, tone of voice, and values into machine-readable rules. It helps LLMs and AI agents align with guidelines, respond responsibly, and behave as intended.

Brando Markup Language

Define. Govern. Control.

Brando^® Markup Language (BML) uses a structured definition vocabulary to extend web data schema with rules, preferences, and behavioural signals for intelligent systems. It provides a unique machine-readable governance layer that supports:

LLM alignment with brand messaging frameworks and constraints
Ethical compliance with internal and external AI governance policies
AI discoverability through structured visibility, trust, and content clarity

Brando® BML enables brands to explicitly decribe how AI large language models, AI assistants, and search systems should interpret, respond, and self-regulate when engaging with their digital presence.

Brand Definition Vocabulary

Describe. Structure. Standardise.

At the core of the Brando^® system is an extensible AI-native, Brand Definition Vocabulary (BDV) that structures brands and thier content for optimal use in LLMs, AI search engines and chat assistants.

Brando^® BDV is a managed framework that extends the Schema.org standard to structure brand data for AI systems. It enables assistants, agents, and LLMs to interpret, retrieve, and consistently represent brand content across intelligent platforms.

Brand Knowledge Graph

Connect. Educate. Interoperate.

The Brand Knowledge Graph is a structured, AI-readable representation of a brand’s identity, governance, and messaging framework made discoverable through schema markup.

Connects brand vocabulary, markup, and policies into a unified knowledge graph
Aligns content, metadata, and assistant behaviour using safe LLM signalling
Activates online brand presence in AI ecosystems through structured discoverability

Brando’s Knowledge Graph connects your public digital assets, AI declarations, and governance terms, enabling intelligent agents, search platforms, and assistants to access a single source of brand truth.

Operationalise Your Brand

Define. Structure. Deploy.

Brando^® enables you to transform brand guidelines and policies into machine-readable declarations that intelligent systems can understand and act on.

Through Brando Markup Language, BDV, and Knowledge Graphs, we make your brand AI-ready—across search, assistants, and content platforms.

Before you can deploy, you need to understand your current visibility. That’s why we offer the LLM Brand Visibility Audit as the essential first step.

LLM Brand Visibility Audit

Discover. Evaluate. Align.

We begin with a 30 - 40 minute Discovery Call to define your business goals, priority pages, and key performance signals for AI search and brand interpretation.

Our Schema Markup Audit inspects your use of structured data, including schema.org, JSON-LD, and microdata, capturing both visible and injected code blocks via Tag Managers.

During the AI Readiness Analysis, we evaluate how your site is surfaced by large language models and assess content structure, clarity, and alignment with AI-powered assistants.

You’ll receive Recommendations for changes in a concise report, with an optional roadmap for enhancing your AI visibility and control through structured metadata and microdatasets.

Stage 1: Discovery Call

We identify scope and agree on key site sections to review for LLM visibility and metadata integrity.

Timescale: 30 - 40 Minutes

Stage 2: Schema Markup Audit

We extract and inspect all schema.org, JSON-LD, and microdata blocks.

Timescale: 1 to 2 weeks

Stage 3: AI Readiness Analysis

We benchmark content discoverability, structure, and LLM alignment using Brando^® diagnostic tools.

Timescale: 1 to 2 weeks

Stage 4: Recommendations

You receive a short, actionable report detailing improvements and an optional roadmap for structured AI communication.

Timescale: 1 to 2 weeks

AI Innovation Labs

Dedicated to driving innovation and experimentation in AI.

At Advanced Analytica, we bring together people and technology to push the boundaries of what’s possible with data and artificial intelligence. Our industry-shaping technology is the lifeblood of Advanced Analytica, because we aspire to stay at the cutting edge of technology while maintaining the reliability and scalability of our work.

25+

Proprietary Tools

100 Bn+

Datasets Processed

30+

R&D Projects

Discovery Workshops

Experiential Training and AI Brand Asset Building

Brand Ignite

From £900 (+VAT)

60 Mins – 4 hours

Discover how AI is transforming brands into AI-integrated assets. We’ll show you how to:

Build your brand AI vocab model
Integrate your brand with LLMs
Drive your brand with AI

Brand Governance

From £900 (+VAT)

60 Mins – 4 hours

Ensure your brand is safe, consistent, and compliant in a multi-agent AI world. You'll learn how to:

Define enforceable rules
Monitor LLM content response
Implement AI-safe workflows

Brand DevOps

From £900 (+VAT)

60 Mins – 4 hours

Learn how to integrate your brand graph with AI delivery pipelines. You’ll learn to:

Automate branded prompts
Build feedback loops with LLMs
Manage updates and versioning

Stay ahead in this ever-evolving AI landscape by us on LinkedIn for the latest insights, trends, and updates.

To succeed today, business must respond to challenges that are not addressed by traditional approaches. They require world-class solutions that integrate people, processes, information and technology at the time they are needed. Advanced Analytica partners with these businesses to protect and capitalise on data and AI, manage risk, deliver transparency and control costs. Through enterprise-level expertise and three decades of deep industry experience, Advanced Analytica creates real value through the use of innovative technology and intelligent automation that turns data into a strategic asset.

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