Audit Engine.200+ deterministic checks. Four tracks. One unified benchmark.

See your site exactly as AI search crawlers, answer engines, and autonomous agents do. Benchmarq runs 200+ rule-based tests across GEO, AIO, AEO, and CORE to isolate technical blockers and rank fixes by impact—built on Enso DX's Discovery & Authority Engine (DAE) with 20+ years of digital architecture expertise.

Synopsis
Core function
Executes rule-based checks against your website, applies weighted scoring models, and outputs prioritized remediation lists.
Built on
The DAE (Discovery & Authority Engine), a standardized API framework for AI search readiness diagnostics.
Built by
Enso DX, digital experience architects with 20+ years of enterprise engineering expertise. Learn about Enso DX.
Diagnostic scope
200+ tests evaluating DOM structure, JSON-LD schema graphs, crawler access rules, semantic hierarchy, and AI discovery protocols. Browse the checks catalog.
Four tracks
GEO (Generative Engine Optimization), AIO (AI Index Optimization), AEO (Answer Engine Optimization), and CORE (Technical health).
Scoring model
Track scores are weighted and combined into a composite 0–100 AI readiness score, with every deduction tied to a specific fix.
100% Deterministic
Core tests use deterministic rules—not generative AI guesswork. The exact same website produces the exact same score, ensuring score movements reflect real code changes.
Release cycle
Test rules receive weekly tuning, with major score versions published quarterly.
Scan speed
Standard audits evaluate 200+ tests in under 2 minutes.
Zero installation
Tests run against publicly accessible URLs and sitemaps. No code agents or server access required.

The architecture behind the audit

The Discovery & Authority Engine (DAE) provides a rigorous, standardized testing framework to evaluate websites against modern AI consumption standards.

Deterministic & reproducible

Every test is governed by clear programmatic criteria. Because the engine avoids non-deterministic LLM evaluation in core tests, a score improvement is always proof of a real technical fix.

One engine across all interfaces

Whether you run audits in the web workspace, trigger scans via MCP in your IDE, or consume JSON feeds in CI/CD, you get identical scoring data from the same core engine.

Grounded in 20+ years of engineering

Built by Enso DX, the DAE framework reflects decades of enterprise CMS architecture, search engineering, and large-scale digital experience deployments.

Read the Enso DX story→

The four core tracks (plus specialized add-ons)

Each track evaluates a distinct phase of how AI systems discover, parse, quote, and act on web content. Test deductions are weighted by severity so critical blockers surface first.

Audit report section detailing CORE technical health and crawler access tests
Audit report section showing AIO discoverability and AI search indexing scores
Audit report section showing AEO content structure and answer extraction scores
Audit report section detailing GEO authority signals and citation readiness tests
Add-on audit report analyzing autonomous agent authentication and workflow execution
Add-on audit report evaluating product schema, cart discovery, and agentic checkout

How the engine processes a domain

From raw URL ingestion to structured diagnostic breakdown in four automated steps.

The diagnostic pipeline

  1. Crawl: The engine fetches your target URLs and sitemaps with headers simulating modern AI search and agent user agents.
  2. Execute: 200+ checks inspect the DOM, header directives, structured data graphs, and discovery protocols.
  3. Score: Test outcomes are calculated using weighted models, rolling into 4 track scores and the composite 0–100 score.
  4. Prioritize: Deductions are compiled into an actionable fix list ranked by potential visibility gain.

Guaranteed consistency

  • Identical test rules applied across every scan.
  • Every score deduction maps directly to an inspectable test failure.
  • Continuous rule refinement to match evolving AI crawler standards.

Consume audit results your way

The engine outputs structured diagnostics that adapt to your preferred tools and workflows.

In the Benchmarq workspace

Manage domains, inspect track breakdowns, follow release trends, and benchmark competitors side by side.

Explore the workspace→

In your IDE via Benchmarq MCP

Query track scores and failed checks directly inside Cursor or VS Code while editing your frontend templates.

Explore Benchmarq MCP→

As structured reports

Export clean JSON schemas for automation or share interactive HTML reports with non-technical stakeholders.

Explore report formats→

Want to see the complete mathematical scoring model? Read about transparent scoring.

Questions.

Direct answers about the Benchmarq audit engine.

What is the Discovery & Authority Engine (DAE)?

The DAE is the standardized API framework created by Enso DX that powers Benchmarq. It defines, executes, and weights deterministic tests against web architectures to generate reproducible readiness scores.

How is the score calculated?

Each track is scored individually from weighted tests against established standards and best practices. The four track scores combine into a single AI readiness score from 0 to 100, with every deduction tied to a specific, fixable issue.

Does the engine use AI?

The core tests are deterministic rules, so the same site gets the same result. The audit does not use AI to score your site.

How long does a scan take?

A standard scan takes less than 2 minutes. The audit engine scans your domain and generates a prioritized report when it finishes.

Can I see every test?

Yes. The checks reference lists each test with what it measures and how to fix it. Browse the checks.

Run the audit engine on your domain

Enter any public website to execute 200+ rule-based checks across GEO, AIO, AEO, and CORE in under 2 minutes. Free plan includes 4 pages a month.