The Methodology

The AI Visibility
Framework™

A proven, five-stage methodology for growing your B2B SaaS brand's presence across every AI platform your buyers use — from baseline audit to measurable share-of-AI-voice growth.

Refined across 180+ B2B SaaS engagements
Covers all 5 major AI platforms
Delivered with full reporting
+87% avg citation lift
AI Visibility Monitor
LLM Citation Performance
Live
Google AI Overviews92%
ChatGPT / GPT-4o87%
Perplexity AI78%
Claude (Anthropic)71%
Based on weekly LLM query monitoring↑ improving
4.9/5 — 180+ SaaS clients
Why a Framework

Why B2B SaaS needs a structured approach to AI Visibility

Most agencies apply traditional SEO tactics to an AI search problem and wonder why nothing moves. AI platforms don't rank pages — they recommend brands. The signals that drive recommendations are fundamentally different from the signals that drive Google rankings.

The AI Visibility Framework™ was built from the ground up to address exactly this problem. It's a five-stage system that systematically builds the entity authority, content depth, and citation quality that AI assistants use to decide which brands to recommend.

Every stage is measurable. Every stage produces a tangible deliverable. And every stage compounds on the one before it — so your AI Visibility grows reliably rather than sporadically.

  • Stage-gated: Each stage builds on the previous. You can't amplify citations before you've established entity authority.
  • Platform-agnostic: The framework produces improvements across all five major AI platforms simultaneously, not just one.
  • Measurable: Every stage produces a deliverable and a metric, so you always know where you stand and what's improving.
The Framework

The AI Visibility Framework™ — five stages

Each stage is designed to be completed in sequence. Skipping stages produces weaker results. The compound effect of all five stages running in parallel is what produces the results our clients see.

1

AI Visibility Audit

We run your brand through a comprehensive LLM testing matrix across all major AI platforms — sending hundreds of buyer-style prompts to map exactly where you're cited, where competitors dominate, and which gaps represent the highest-value opportunities for your category.

Full LLM visibility report + competitor citation benchmarks + prioritised action plan
2

Entity & Authority Optimisation

We define, structure, and publish your brand entity across knowledge graphs, Wikidata, and tier-one publications. AI assistants reason about the world through entities — a well-defined, well-sourced entity makes your brand unmissable to every LLM that processes it.

Entity profile document + Wikidata setup + schema implementation + knowledge graph integration
3

AI-Ready Content Engineering

We produce and restructure long-form, expert-authored content with the entity density, FAQ schema, and semantic richness that LLMs preferentially cite in their responses. This includes comprehensive coverage of every question a buyer might ask an AI assistant in your category.

AI-optimised content calendar + schema-marked articles + FAQ coverage map
4

AI Citation Growth

We seed your brand citations across authoritative industry publications, digital PR campaigns, and high-authority platforms — growing the volume and quality of external mentions that AI assistants use to determine which brands to recommend.

Monthly citation placement reports + digital PR campaign + share-of-voice benchmarks
5

Continuous Optimisation

AI search evolves every week. We run continuous LLM monitoring across all platforms, deliver monthly share-of-AI-voice reports, and adapt your strategy in response to platform changes and performance data — so your visibility compounds over time rather than stagnating.

Weekly monitoring dashboard + monthly SOV report + quarterly strategy review
Core Principles

What makes the framework work

Four design principles that differentiate the AI Visibility Framework™ from retrofitted SEO approaches.

Principle

Entity-First, Not Keyword-First

AI assistants think in entities, not keywords. Every stage of the framework prioritises building a clear, authoritative brand entity before optimising content or building citations.

Principle

Platform-Specific Tactics, Unified Strategy

Each AI platform weights signals differently. The framework includes platform-specific tactics for ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews — unified under one strategy.

Principle

Measured at Every Stage

Share of AI Voice is tracked before, during, and after each stage. Decisions are driven by data from live LLM monitoring — not estimated or inferred from proxy metrics.

Principle

Built to Compound

Each stage makes the next stage more effective. Entity authority increases content citation probability. Content depth increases citation quality. Citations increase authority. The loop compounds.

Framework FAQ

Questions about the Framework

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Free Tool — No Signup Required

See Where You Stand — Free

Run Stage 1 at no cost. We'll audit your brand across all five AI platforms and deliver a full report with your current citation rate, competitive gaps, and a prioritised action plan.

Free. Instant. No signup required.

We onboard max 8 new SaaS clients per month — limited spots available

Start the Framework with a free AI Visibility Audit.

Stage 1 is on us. We'll run your brand through a full LLM testing matrix, benchmark you against your top three competitors, and deliver a prioritised action plan — within 48 hours, at zero cost.

No commitment required Delivered within 48 hours Covers all 5 AI platforms