A working reference for anyone building or buying AI in Europe: the news sources worth your time, the analysis that actually holds up, an EU regulatory calendar with verified dates only, and the toolbox we use to measure and build AI visibility — the discipline behind our AI Visibility service. Curated by CogniLedger — the same list we use ourselves.
Ten sources, three layers: primary vendor announcements, industry coverage, and filters that save you the rest.
Model releases, safety research, MCP ecosystem announcements — first-hand.
Product and model announcements from the largest consumer AI vendor.
Gemini releases and research; the second model family we deploy in production.
The EU-native frontier lab — essential reading for European vendor-selection decisions.
Fast, broad coverage of funding, launches, and policy moves.
Consumer-angle AI coverage; good early signal on product shifts.
The fastest way to skim what happened in AI yesterday.
Research and policy digest by an Anthropic co-founder; unusually good on governance.
The most reliable hands-on evaluations of new models and tools, including MCP.
The AI engineering angle — how practitioners actually ship with these models.
Reports and data sources that survive contact with reality — the ones we cite in client work.
The most-cited annual snapshot of AI capability, cost, and adoption data.
Benaich's independent industry review — dense, opinionated, well-sourced.
Rigorous data on compute trends, training costs, and model capabilities.
Deep technical analysis of open vs closed models — beyond the hype cycle.
Enterprise adoption numbers your board has probably already read — know them too.
The economics of AI infrastructure — why models cost what they cost.
Where we track the EU AI Act, GDPR intersections, and the standards that will define conformity. This is the desk we run for our own products.
The best free full-text explorer of the Act, with an implementation timeline.
The Commission's own implementation-support hub — timeline, FAQs, guidance.
Primary source for guidelines, codes of practice, and Omnibus developments.
The single best digest of AI Act implementation news.
Where AI meets GDPR — opinions and guidance on AI and personal data.
Privacy-profession coverage of AI governance; home of the AIGP certification.
Maps CEN-CENELEC draft standards to specific AI Act articles — invaluable.
The committee writing the harmonised standards that will define AI Act conformity.
Confirmed dates only, each with a source. No rumors, no "expected Q4". Verified against official EU sources on the date shown above.
Dates reflect the Digital Omnibus on AI as politically agreed (May 2026) and approved by Parliament and Council (June 2026); final wording subject to publication in the Official Journal.
We don't maintain a rumor list — it would be stale in a week. Instead, the live trackers we check.
Independent benchmarks, pricing, and speed comparisons across every major model — our first stop for vendor selection.
Crowd-sourced head-to-head model rankings; the fastest signal on whether a new release actually moved the needle.
Where open-weight releases land first.
AI Visibility is what we practice and sell: making a company discoverable, accurate, and authoritative when AI assistants answer questions about it. This desk collects the tools we use — free checkers to see where you stand today, monitoring platforms for the long game, and the open standards the whole discipline is built on. Start with the free checks.
Free one-time snapshot of how ChatGPT, Perplexity, and Gemini describe your brand — sentiment, share of voice, and gaps. The fastest honest answer to "are we visible?"
Free, platform-native data on how your pages are cited in Microsoft's AI experiences — insider numbers, not third-party estimates.
Free technical audit: can AI crawlers actually reach, render, and trust your site? Checks crawl access, structure, and authority signals.
EU-built AI search monitoring across ChatGPT, Claude, Gemini, Perplexity, and AI Overviews; accessible entry pricing for SMBs.
Berlin-based tracker with strong multilingual coverage — relevant if your customers ask AI assistants in more than one language.
The enterprise/agency end of the market: deep competitive benchmarking and white-label reporting.
AI visibility tracking bolted onto the SEO suite many teams already run — the lowest-friction option if you're a Semrush shop.
The open standard for describing your site to AI models — robots.txt's younger sibling. We ship one for every AI Visibility client (and run one ourselves).
Structured data remains the backbone of machine-readable trust — for AI answer engines as much as for Google.
The 2024 research paper that defined Generative Engine Optimization and measured which content changes actually move AI citations.
A living, curated map of the entire GEO/AEO ecosystem — tools, research, and case studies.
Know the bots reading your site: user agents, IP ranges, and how to allow or restrict them deliberately.
The canonical index of public MCP servers — including ours. Registration here is how assistants find you.
The protocol spec and changelog; the layer where a company stops being a web page and becomes a source AI assistants can query directly.
This is the stack behind our AI Visibility service — we ran every step on our own products first. See the service →