// methodology

How we run our AI Search methodology.

This is the process behind the numbers and the work we do to help your brand show up in AI answers, not just how we score it. We begin by establishing your entity foundation, then build first-party authority through Topic Ownership. Next, we align third-party and social signals to support it, and work toward Total Graph Authority, which helps your brand stay visible through repeated AI evaluations. Throughout the process, we use measurement as our scoreboard.

METHODOLOGY / OPEN_SPECv1.0
VERSION1.0 · May 2026
ASSISTANTS4 core — ChatGPT · Gemini · Perplexity · AIO (+6 on request)
KPIS4 · reported monthly
CADENCEweekly
PROMPT_SET20–50 named
ACCESSpublished openly

the method we use to measure citation, gets cited.

// the_process

The process we run, end to end.

01

Benchmark

We begin by running a benchmark audit and setting up a specific prompt set. This helps us see exactly where your brand stands with the assistants your customers use, before making any changes.

02

SEO foundation

We address the technical basics that every search engine looks at first, like crawl access, indexation, site health, and page performance. Since AI assistants and Google rely on these same fundamentals, this is where your visibility begins.

03

Entity foundation

We help models understand your brand by using structured data and building a clear entity and knowledge-graph presence. This way, assistants know who you are and what you're known for.

04

First-party authority

We grow your authority using our Topic Ownership Strategy, covering all key topics and questions. This ensures your brand appears and stays consistent, no matter how a model finds the answer.

05

Third-party validation

We secure outside signals that support your brand, like trusted links, citations, and mentions. Models trust brands that the rest of the web recognizes and supports.

06

Social utility

We boost your social signals, presence, community, and proof, showing that your brand is real, used, and recommended by real people.

07

Total Graph Authority

We work to align your first-party, third-party, and social signals, so they all support your brand in the same way. This helps your brand stand out, even as AI answers change.

08

Measurement loop

We track everything along the way, including citation share, sentiment, mention frequency, and AI-attributed traffic. Every result helps us improve the next cycle.

// the_goal

Everything leads to Total Graph Authority.

Total Graph Authority is when a brand's own content, outside validation, and social signals all describe it in the same way. This position stays strong even when AI answers the same question repeatedly, since it cannot be faked by just one lucky page.

Our entire process is designed to achieve this. You can find the framework and our approach to building a brand's authority on the AI Search page and in our Total Graph Authority write-up.

// first_party_engine

How we create our first-party foundation.

We control our owned authority directly by using our Topic Ownership Strategy. This approach uses a hub-and-spoke system to cover a whole query space, rather than spreading out thin pages focused on single keywords.

Each page has a clear purpose: to inspire, educate, or convert. No matter how a model finds its answer, your brand appears and stays consistent. You can find the full method, including the hub-and-spoke structure and the three content groups, on the Topic Ownership Strategy page.

// the_scoreboard

Measurement shows us the results, but it is not the same as having a strategy.

Each month, we track four key metrics: mention frequency, citation share, sentiment, and AI-attributed traffic. We measure these across ChatGPT, Gemini, Perplexity, and Google AI Overviews. Our method is published openly so buyers can review its rigor before making a decision.

These results show us if our work is helping a brand move toward Total Graph Authority. Each report helps guide the next steps. You can find the full specifications, prompt sets, formulas, and clear limitations on our measurement page.

// faq

Questions, answered

What is your methodology?+
It's how we measure and win AI search visibility: the prompts we track, the assistants we cover, and what we capture each month, published openly rather than kept behind a login.
Why publish your methodology?+
Because the method that measures citation should be able to get cited. Transparency builds trust, and we'd rather be held to our method than hide it.
How do you decide which prompts to track?+
We map the questions your buyers actually ask across the funnel, then track how each assistant answers them for you and your competitors.
// start_here

Find out how this process works for your brand.

Ask for an AI visibility audit, and we'll compare your brand and three competitors across the main AI assistants. We'll show you where the process begins, provide a 15-page report, and walk you through it in 30 minutes. There's no sales pitch, just the results.