Methodology
How does Awesome.Digital analyze a website?
Awesome.Digital reads public website evidence, applies structured scoring, and uses an operator-reviewed diagnosis to turn the findings into a fix order.
Quick answer
Awesome.Digital combines crawl evidence, technical checks, content analysis, trust and profile signals, conversion-path review, and measurement readiness. The goal is not a longer report; it is a clearer first fix.
The analysis has three layers.
Crawl evidence
The scan inspects pages, metadata, schema, sitemap, robots policy, performance, links, and page-level text structure.
Signal scoring
Findings are organized across technical access, content structure, authority consensus, query coverage, and measurement readiness.
Operator diagnosis
An operator reviews the evidence to identify the real blocker and connect recommendations to a practical action plan.
Six fix lanes keep the diagnosis practical.
Technical Foundation
Your site can be live and still be hard for crawlers, buyers, and answer engines to trust.
Search and AI Discoverability
If engines cannot understand what you do and who you serve, buyers may never see you.
Content Authority
Thin pages rarely answer the real questions buyers ask before they contact a business.
Trust and Local Presence
People and AI systems look for proof before they recommend a business.
Conversion Path
Attention only matters when the next step is obvious, measurable, and easy to take.
Measurement Readiness
You cannot improve AI-era discovery if scans, leads, content, and fixes are not tied to outcomes.
What the methodology avoids
- No fake certainty when integrations or third-party data are missing.
- No generic template diagnosis when an operator has not reviewed the evidence.
- No score changes hidden inside narrative recommendations.
- No recommendation without a reason it matters to discovery, trust, conversion, or measurement.
Start with the live scan.
Run the free preview, save the private growth snapshot, and use the evidence to decide whether a review or diagnostic sprint is worth doing.