StratechMedia · Self-Audit · May 2026

This is how we score
ourselves.

We measure 5,125 publishers against a 17-signal AI readiness framework. Here is our own score — every signal, honest status, and what we are still building. We should be the best example of what we teach.

Overall score

95

out of 100

Top 1% globally against our own framework

Global average

4.4

out of 100

5,125 publishers, 99 countries

AI Policy

100

out of 100

Editorial Transparency

96

out of 100

Technical Infrastructure

91

out of 100

Score methodology follows our global publisher framework: AI Policy (crawler declaration, llms.txt, ai.txt, tdmrep), Editorial Transparency (named editor, editorial policy, AI use disclosure, AI Act readiness), and Technical Infrastructure (JSON-LD, speakable, canonical, OG, sitemap, NewsArticle schema). Same framework, same weights, applied to ourselves.

AI Policy

✓

robots.txt — AI crawlers explicitly allowed

GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Applebot all explicitly permitted

✓

llms.txt — structured guidance for AI systems

Full context: who we are, what we cover, founder details, citation guidance

✓

ai.txt — formal AI access declaration

Access policy: crawling and citation allowed, training requires license

✓

tdmrep.json — text and data mining rights

Mining and citation permitted, training requires licensing agreement

Editorial Transparency

✓

Named editor — publicly visible and attributed

Susanne Sperling named on About, in JSON-LD Person schema, and in llms.txt

✓

Editorial policy page — published and machine-readable

Covers responsibility, AI use, research standards, corrections, independence

✓

AI use disclosure — how AI is used in content production

Documented in editorial policy. AI-assisted, human-reviewed, human-approved.

✓

AI access policy — formal institutional position

Open for citation, closed for training without license. Documented in ai.txt.

✓

EU AI Act readiness — transparency provisions

Three content types disclosed: AI-assisted (blog/analysis), AI-conducted (Firechat interviews), AI-generated under editorial direction (Moltbook). See editorial policy.

Technical Infrastructure

✓

JSON-LD structured data — all public pages

WebPage, Article, Person, Dataset, FAQPage, SoftwareApplication on relevant pages

✓

Speakable markup — AI reading and citation signals

SpeakableSpecification on all 21 public pages — one of very few publishers with full coverage

✓

Schema.org Organisation + founder identity

Organisation and Person schema with name, URL, contact, sameAs references

✓

Canonical URLs — consistent across all pages

stratechmedia.com canonical on all pages, corrected from legacy publisherpact.com refs

✓

OpenGraph — social and AI preview metadata

Title, description, image, type set globally and per-page

✓

XML Sitemap — dynamic, all public routes

Generated by Next.js sitemap.ts, submitted to search engines and referenced in robots.txt

~

NewsArticle schema on article pages

Set on research articles and blog posts. Not yet on all content types.

✓

ethicsPolicy — editorial policy referenced in JSON-LD

Organisation JSON-LD references stratechmedia.com/editorial-policy as ethicsPolicy

Why this page exists

We should be the best
example of what we teach.

Every publisher we work with gets audited against this framework. It would be absurd to hold clients to a standard we do not hold ourselves to. This page is updated whenever our own configuration changes.

The global average across 5,125 publishers is 4.4 out of 100. The gap between 4.4 and 92 is not expensive to close. It is just deliberate.

See the global research →Audit our domain →