The intelligence engine behind your AI visibility
Not another SEO tool. A structured Knowledge Operating System, an explainable recommendation engine that tells you how confident it is (and refuses when it isn't), and a benchmark platform built on 850,000+ audited sites — with the science published in the open.
One platform
Everything that powers a SearchScore recommendation
Knowledge, reasoning, measurement and published science — one system, one source of truth.
Ask the Engine interactive
Describe a problem in plain English and get an explainable diagnosis → framework → action, with a real confidence score. If it isn't sure, it says so — it never fabricates certainty.
Try it live ◈Knowledge OS
A structured knowledge graph of 489 objects — domains, capabilities, frameworks, patterns and evidence — the versioned source of truth the engine reasons over.
Explore the graph 🧪SearchScore Labs open science
Every improvement is a public, pre-registered experiment. We publish the hypothesis and method before the result — and publish every outcome, including the ones that failed.
See the experiments 📊The Indices
Ten proprietary indices (AI Visibility, Citation Readiness, Technical Health and more) computed from the 850k-site corpus — every figure with a sample size and a confidence interval.
View the benchmarks ◇SAVI Report
The SearchScore AI Visibility Index — the quarterly reading on how visible the web is to AI answer engines. The average site scores just 34/100.
Read the report ❝Research
Reports and studies from the SearchScore Research Institute — transparent methodology, published corrections, and citable figures the industry references.
Browse researchNo black-box scores
Every score ships with its components and a plain-English why. A number without a reason is a number we don't publish.
Confidence you can trust
Recommendations carry a real, measured confidence — and the engine refuses rather than guess. A false refusal beats a confident wrong answer.
Proven, not asserted
Every release is judged against a frozen benchmark; no regression ships. We measure whether our advice worked, and feed it back in.
Outcome evidence
What the recommendations actually do
The engine records whether each recommendation moved a real site's visibility, and reports the measured success rate — with the sample size, and only once a recommendation clears 30 measured outcomes. Everything below is observed, not asserted.
The flywheel is measuring outcomes across live sites right now. Rates publish here as each recommendation clears its evidence bar — no number appears until it is earned.