Our Methodology

How we make B2B brands discoverable on organic search channels

A four-phase framework for ranking in traditional search and getting recommended by AI, built on primary research and testing.

What sets us apart

Informed by real testing and research

Every recommendation comes from sandboxed LLM testing, not guesswork. Our co-founder Ben spent years as an AI researcher at Stanford before building the systems we use to test content against live AI.

Clients benefit from a data advantage

Our Knowledge Graph tracks winning patterns across 100,000s of clicks per month. You benefit from formats, topics, and approaches we already know work in your category.

AI-powered, human managed

We use AI to accelerate research, testing, and production. But strategy, quality control, and client relationships are handled by humans who understand your business.

The 4D method: How to win organic search

A step-by-step breakdown of how we engineer organic visibility.

Diagnose

See exactly where buyers find you — and where they don't

Using proprietary technology we've built, we audit where you appear across ChatGPT, Claude, Perplexity, and Google AI Overviews. We analyze your topical authority to understand what topics you're positioned to rank for, run a technical and on-page SEO audit (the foundation still matters), and check consistency across third-party surfaces like social profiles, directories, and documentation.

Why this matters

You can't fix what you can't see. Most companies are invisible in modern search and don't know it.

Search visibility index
Your Brand
Competitor
SERP
Partial
Visible
ChatGPT
Invisible
Visible
Claude
Invisible
Visible
Perplexity
Partial
Visible
AI Overviews
Invisible
Visible

Design

Content and off-page planning informed by LLM testing, prioritized by impact

We map topic and product clusters to your capabilities, use cases, and the questions buyers are actually asking. We build entity maps covering your products, categories, integrations, and alternatives. Our four citation runbooks provide playbooks for each surface: your own pages, third-party mentions, competitor comparisons, and review sites. Everything prioritized by impact, difficulty, and business fit.

Why this matters

Random acts of marketing waste resources and SEO got a bad rep for driving minimal impact. Our work stays within your realm of relevancy and close to the money.

Citation Engine Model
12
Your pages
High
8
Third-party mentions
High
5
Competitor comparisons
Medium
3
Review sites
Medium

28 opportunities identified

Sorted by impact

Deploy

Produce citation-worthy content, calibrated against live AI

Every piece is structured using our CITABLE framework for how LLMs retrieve and cite. We test drafts in our sandbox before publishing and run continuous refresh cycles to squeeze more citations from pages that are already working.

Why this matters

Publishing without testing is guesswork. Calibrating against live AI means you ship content with a higher probability of getting cited.

CITABLE Framework
Testing draft against live AI...
Entity recognition
Pass
Intent alignment
Pass
Source grounding
Pass
Structure optimization
Optimize
Freshness signals
Pass

4/5 checks passed

Ready to publish

Deepen

Stack authority and identify outlier formats

We build off-page authority through the signals AI models trust: systematic Reddit presence, original studies with quotable statistics, and PR focused on citation-worthy placements. Original research creates a flywheel where citations build authority and authority drives more citations. Our Knowledge Graph tracks what formats are working so we know where to double down.

Why this matters

Flywheels compound. Our knowledge graph captures what's working across all clients, making every future piece smarter, faster, and more likely to convert.

AI Demand Loop

120

Citations

+32%

MoM Growth

4

Channels

Outlier to double down

Review compilations+89%
31 citationsHighest conversion

Other channels

Reddit +23%PR +12%Review sites +5%

Results that speak for themselves

Real outcomes from B2B SaaS companies using the 4D method.

$30m+ ARR SaaS

575 to 3,500+ AI-referred trials in 7 weeks

Read case study

$10m+ ARR SaaS

5 paying customers in month one

Series B SaaS

600% increase in citations

Built on proprietary technology

Our internal tools give clients visibility and testing capabilities that agencies using off-the-shelf solutions simply cannot match.

See where you appear across ChatGPT, Claude, Perplexity, and AI Overviews

AI Visibility Auditor

ChatGPT

Visible

Claude

Missing

Perplexity

Partial

AI Overview

Visible

Real-time visibility across all AI surfaces

Frequently Asked Questions

How is this different from a traditional SEO agency?

We do both SEO and AEO. Traditional agencies optimize for rankings alone. We optimize for rankings and AI recommendations — different surfaces require different signals and strategy. SEO is the foundation, AEO is the new layer.

How quickly will we see results?

Initial citation movement in 2-4 weeks. Meaningful share-of-voice gains in 6-8 weeks. Compounding effects over 3-6 months as your entity authority builds and content accumulates in training data.

How do you measure AI-driven results?

Full funnel. We track citation frequency and share-of-voice at the top, AI-referred traffic in the middle, and trials, pipeline, and revenue at the bottom. Our dashboards connect visibility to business impact.

What's the minimum commitment?

30-day rolling agreements. No long-term contracts required.

AI researchers and growth marketers working as your team.

We've built systems using LLMs. We've grown B2B companies to $20M+ ARR. Now we bring both skill sets to make your brand the answer AI gives when buyers ask questions about your category.

Liam DunneBen Moore
Liam & Ben
AI Research + Growth

Ready to get started?

See how AI currently talks about your brand with a free visibility audit

Speak with team

No commitment. 30-minute call.