tlm viewer

A precise tool to audit TLm pages for SEO and performance signals, designed for content teams, SEO analysts, and product managers.

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About This Tool

The tlm viewer provides domain-focused analysis of TLm pages or data streams to quantify SEO, structure, and performance signals. It targets content teams, SEO analysts, and product managers who audit pages or datasets to diagnose TLm signals and support governance.
Conceptually, the tool fetches inputs, parses signals, and computes scores using transparent weighting; it highlights missing metadata, weak heading hierarchy, canonical inconsistencies, and rendering issues. It can surface actionable findings and export results for audits or governance reviews. The approach emphasizes reproducibility, scalability, and alignment with enterprise content standards, enabling cross-team collaboration and evidence-based optimization.
Unique value lies in explicit TLm signal modeling, consistent export formats, and a focus on governance and compliance across pages and data sources. Core features include input validation, basic SEO checks, performance proxies, and structured output suitable for dashboards and reports.

How to Use

  1. Provide inputs: enter target_url and optional data_source, depth, locale, and timeout.
  2. Configure optional settings: adjust depth, locale, and timeouts as needed.
  3. Run analysis: trigger computation to fetch and evaluate TLm signals.
  4. Review outputs: view scores, metadata, and detected issues.
  5. Export results: download JSON or CSV for audits or governance.
How to use tlm viewer

Frequently Asked Questions

Find Quick Answers

What does TLm stand for?
TLm refers to a domain-specific measurement set used by this tool to assess content governance, metadata quality, and data-driven signaling. The viewer analyzes TLm data sources and pages to produce reproducible signals across SEO, structure, and performance.
Which inputs are required?
A target_url is required. Other inputs such as data_source, depth, locale, and timeout_sec are optional with sensible defaults. The analysis can proceed with just the public URL and essential checks.
What outputs are provided?
The tool outputs a structured result set including seo_score, performance_score, metadata, detected issues, and an export-ready payload in JSON. It supports JSON and CSV exports for audits or governance reviews.
How are scores calculated?
Scores combine signals with a weighted model: SEO score = 0.45*content_signal + 0.25*technical_signal + 0.15*structure_signal + 0.15*external_signal. Each component aggregates specific checks such as metadata quality, rendering metrics, and schema presence.

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