Deeper answers for professional SEO
Seven proprietary analysis systems you won't find in conventional stacks — plus the everyday toolkit, rebuilt on live data. One workflow, not five subscriptions.
Proprietary analysis built from our own SEO practice — you won't find these in conventional stacks.
- Query MapSemantic brief before you write
- Topical MapFull semantic map of your site
- Information GainWhat a page adds vs the live SERP
- Commercial AuditProduct pages vs the ranking top 5
- Link Quality suiteLink value in context · 30+ signals
- Text & Content AuditFour audits in one pass, any scale
- AI VisibilityPresence across 6 AI engines
The everyday stack — rebuilt on live data instead of quarterly database snapshots.
- Keyword research14 sources
- SERP-based clustering3 methods · one free
- Rank + AI tracking
- Live SERP analysis
- Site audit
Search changed. Most SEO software didn't.
Google in 2026 is not the search engine we optimized for in 2019. Content depth, information value, expertise signals, semantic relationships and intent all shape what ranks — and AI has created an entirely new layer of search visibility.
Yet much of the SEO stack still revolves around the same numbers: Domain Rating. Keyword Difficulty. Backlink counts. Generic scores. Useful data — but data alone doesn't explain why something is happening, or what to do about it. Algorithm was built to work at that layer.
Every analysis shows the signals and reasoning behind its result — while the models, thresholds and calibration that produce it stay proprietary. Transparent enough to understand the decision. Proprietary enough to protect the model.
How (and why) we built Algorithm
It started as an internal SEO system. As search evolved, the questions we needed to answer outgrew the tools we were paying for. Which links actually matter? What does a page genuinely add? Does this content demonstrate real expertise? Why is one page semantically stronger than another?
So we built the analysis ourselves — tested it on real projects, changed the models when results didn't make sense, and kept the pieces that survived. Three years of internal tooling became the product you're looking at.
What we built differently
Link Quality, beyond DR
Domain Rating describes a domain. It doesn't tell you whether a specific link is worth anything. We analyze the link in context: relevance, placement, surrounding links, anchor patterns, section deep-scan, PBN detection, historical signals. 30+ factors, one link-level assessment.
Text Audit: four audits, one pass
AI detection is one question out of many. We combine content quality, E-E-A-T signals, evidence, structure and semantic characteristics into a single report — instead of forcing you to run separate audits and reconcile them yourself.
Information Gain, paragraph by paragraph
Word count doesn't tell you whether an article contributes anything. We compare your content against the existing search landscape to show where you add information — and where you repeat what already ranks. Meaning-level analysis, per paragraph, with format fit and AI citability included.
Commercial pages, beyond content
Commercial rankings aren't won by articles. We audit what actually differs: SERP intent, feature parity with the ranking pages, schema depth and connectivity, machine-readability for AI shopping agents — and the differentiation slots nobody in the top occupies.
SERP-based clustering
Keywords with the same top-10 usually share intent. We cluster by real SERP overlap — so you know which queries one page can win, and where separate content is actually necessary.
AI visibility across 6 sources
ChatGPT, Perplexity, Claude, Gemini, Grok, Google AI Overviews. As AI search takes share, rankings alone no longer describe your visibility. We track both in one workflow.