Information imbalance
Over 5,000 AI papers a month on arXiv, weekly vendor releases, overseas startup funding news. Less than 10% reaches Japanese readers.
AI Intel / About
How AI Intel
is built.
Methodology, sources, and differentiation — in one place.Media + funnel, together
Capture SEO inflow by industry while connecting each article to Business AI, AI App Development, and AX Support consulting. Long-form background lives here; the Intel home stays article- and CTA-first.
← Back to AI Intel01
Why Why we build it
Closing the gap between English-language AI volume and Japanese implementation.
Global AI progress happens in English. People on the front line in Japanese companies don't have time to translate it all the way to "how to apply this to our operations." AI Intel turns that gap into a business opportunity.
Translation loss
Machine translation loses industry terminology and implementation know-how. The distance to "how to use this in our industry" needs a human AX-implementation lens.
Asymmetric case studies
AI adoption in the US, EU, and China is rapidly accumulating real-world cases. No database re-frames these by size, industry, and budget for Japanese companies.
SEO opportunity
Long-tail keywords like "AI use cases × industry × overseas" are under-supplied. Building many case pages can dominate SERPs.
02
Sources Sources
Aggregating free primary sources on a 24-hour cycle.
- Research & papers
- arXiv (cs.AI / cs.CL / cs.LG), Hugging Face Papers, Stanford HAI, MIT CSAIL RSS / API
- Vendor official
- Blogs and release notes from Anthropic / OpenAI / Google DeepMind / Meta AI / Mistral / xAI
- Startups & funding
- TechCrunch, The Information, Stratechery, Crunchbase, a16z portfolio updates
- Case studies
- Vendor press releases, Customer.io case studies, Anthropic / OpenAI Customer Stories
- Regulation & policy
- EU AI Act updates, NIST, UK CMA, US FTC, METI AI strategy, Cabinet Office AI policy
- Community
- Hacker News (front + AI tag), r/MachineLearning, Latent Space, Lex Fridman public videos
- OSS trends
- GitHub Trending (AI category), Hugging Face Trending Models, Papers with Code
03
Structure Taxonomy
Re-framed by industry × use case × size — ready to apply.
A raw news timeline isn't usable in the field. We re-classify across three axes and expand into hub pages for SEO and navigation.
By industry
Healthcare / finance / legal / manufacturing / retail / real estate / logistics / education / public sector — per-industry pages with cases, regulation, and vendor moves.
By use case
Customer support / code generation / sales automation / hiring / accounting / marketing / knowledge management / R&D — cross-industry navigation for the same use case.
By company size
Startup / SMB (~100) / mid-market (~1,000) / enterprise — "show me cases feasible at my company's scale."
Failures & shutdowns
A contrarian angle: PoC stalls, ROI shortfalls, and regulatory shutdowns — earning practitioner trust and bookmarks.
04
Edge Edge
Every article ends with "how Japanese companies can apply it."
Many AI news sites already exist. AI Intel's edge is injecting ゼロビズAX's AX-implementation know-how — deployment path, cost ballpark, licensing, and operational design for Japan.
- ゼロビズAX View
- Attached to every article."If we brought this case to a Japanese SMB" — deployment path, ballpark cost, and caveats. A human layer strong for Google E-E-A-T.
- Size-based matrix
- Angles like "cases for ~50-employee companies" have thin competition. Directly targets SMB search intent.
- Failure slot
- Contrarian play in a success-saturated market — practitioner bookmarks.
- Weekly digest
- Newsletter and RSS — ultimately connecting to ゼロビズAX consulting / SaaS.
05
Roadmap Roadmap
Deeper and wider, in phases.
Article foundation
Auto-ingest from major sources + summaries + ゼロビズAX View. Pin down URL structure and SEO scaffolding.
Hub pages
Industry and use-case listing pages — stronger internal links and intent-based navigation.
SEO optimization
JSON-LD, sitemap, internal linking, Search Console monitoring.
Lead generation
Weekly newsletter, consultation CTAs, analytics — measurable media → consulting / SaaS funnel.
06
Get Involved Co-creation partners
Recruiting beta readers, builders, co-editors, and sponsors.
Engineers and operators who want auto-publishing, SEO/LLMO, or Intel-style media on their own stack — plus source suggestions, per-industry editorial partners, publishing/distribution partners, and sponsor slots.
Reach us at hello@zerobizax.com or /contact. Co-build on AI Intel home · Recruitment