Our Technology & Tools
We build and use proprietary systems to support smarter SEO strategy, analysis, and decision-making. These tools don’t replace expertise; they help surface priorities faster, reduce noise, and focus attention on what actually matters.
Alongside our internal systems, we also work with industry-leading SEO and analytics platforms to ensure decisions are grounded in reliable data, accurate measurement, and current market signals.
Why We Build Our Own Tools
Most SEO tools generate large volumes of data with very little direction. Metrics are easy to produce; clarity is not.
We build our own systems to connect signals, interpret quality, and translate raw information into clear, prioritized actions. The goal isn’t more data—it’s better decisions.
These tools exist to support strategy: helping us understand what search results reward, where risk exists, and what should be addressed first.
Our proprietary systems are designed to complement—not replace—established tools by adding interpretation, context, and judgment where off-the-shelf platforms fall short.
Proprietary Systems We Use
The systems below are internal tools developed to support our consulting work and inform strategic decision-making.
SERP Interpretation & Competitive Content Analysis
We use a custom SERP analysis system to understand how search results are shaped for a given query—not just which pages rank, but why.
By analyzing real ranking pages (globally or by location), this system identifies shared themes, structural patterns, tone, and gaps competitors leave unaddressed.
What this analysis evaluates:
Common topics and coverage across ranking pages
Missing information and unmet user needs
Patterns in structure, tone, and depth
Opportunities to create more complete, helpful content
How it’s used:
This analysis informs strategy, content planning, and prioritization before execution begins.
E-E-A-T & Content Quality Analysis
We’ve developed an internal E-E-A-T evaluation framework to assess content across Experience, Expertise, Authoritativeness, and Trustworthiness.
Rather than producing a single abstract score, this system combines structured analysis with qualitative review to explain why a page performs the way it does and what should be improved first.
This system evaluates:
Experience and real-world evidence
Expertise signals and depth
Authority indicators and validation
Trust signals, citations, and clarity
Overall content quality, effort, and writing standards
How it’s used:
This analysis supports audits, consulting engagements, and projects where credibility, quality, and trust directly influence performance.
Industry-Leading Platforms We Also Use
In addition to our proprietary systems, we work with established SEO, analytics, and research platforms to support data accuracy, validation, and performance tracking. These tools help inform baseline metrics, competitive context, and ongoing measurement.
Our internal systems build on top of this data by adding interpretation, prioritization, and strategic context—bridging the gap between raw metrics and real decisions.
What This Means in Practice
Faster clarity during audits and reviews
Clearer prioritization of SEO and content decisions
Less noise and fewer distractions from low-impact metrics
Decisions grounded in evidence rather than assumptions
This allows SEO work to stay focused, deliberate, and aligned with how modern search and AI discovery systems evaluate content.

