Airise shows you:
✓ Your category median
✓ Your percentile rank
✓ Gap to category leaders
✓ Signals driving the difference
Free diagnostic + category benchmark:
https://t.co/wBL37INzQx
#ARI#AISearch#B2B#CategoryStrategy
ARI Scores aren't one-size-fits-all.
We analyzed 500+ brands across 20 categories.
The benchmarks vary dramatically.
Thread: Category benchmarks for AI Recommendation Intelligence 🧵
The insight:
A "good" ARI Score depends on your category.
67 is strong for SaaS.
31 might be excellent for Legal.
Most brands compare themselves to the wrong benchmark.
The recommendation IS the decision.
67% pick the first AI option. 89% never verify.
Intent → Recommendation → Action.
No research phase. No comparison shopping.
Optimize for selection, not discovery.
#AIRecommendationIntelligence#B2BMarketing#B2B#AI#Marketing
Your brand ranks #1 on Google.
But GPT-4 has never heard of you.
AI runs on 3 layers:
• Parametric memory
• RAG
• Context window
SEO fixes Layer 2.
But Layer 1 decides if AI even knows you exist.
That’s the $74B blind spot.
#AI#LLM#RAG#SEO#ARI
Search isn’t dying.
It’s collapsing into recommendations.
LLMs don’t return 10 links.
They return 3–5 answers.
Same brands. Every time.
If you’re not in that set, you’re invisible.
We built this to measure it:
https://t.co/IINSsD41Nh
#AI#LLM#AEO#GEO#Search
AI just recommended three different CRMs to the same buyer.
ChatGPT: Salesforce
Claude: HubSpot
Gemini: Pipedrive
Same prompt.
73% of brands show 40+ point variance between AI models.
You're not optimizing for one algorithm.
You're optimizing for five different knowledge graphs.
Most teams think “more data = smarter AI.”
I make the opposite case: context beats volume.
When LLMs are grounded in your company’s own signals—not just the internet—they deliver accurate, explainable decisions at scale.
A thread on Context Engineering and why it changes enterprise intelligence (in partnership with @elastic). Let’s dig in…
#ElasticPartner
$20 startups are real, but the tuition is paid in 3am debugging sessions when Claude hallucinates your auth flow.
You don't skip the learning curve; you just pay it in technical debt instead of tuition.
#ai#claude#AICoding#StartupLife
@boxmining Great stack!!
Once you start building more complex systems (CRMs, agentic AI), Claude Max becomes necessary.
The deeper reasoning models (Opus) burn through tokens fast, especially with multi-step logic and long context.
Anthropic CEO:
“50% of all entry-level Lawyers, Consultants, and Finance Professionals will be completely wiped out within the next 1–5 years."
grad students and junior hires are cooked.
You can now enable Claude to use your computer to complete tasks.
It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk.
Research preview in Claude Cowork and Claude Code, macOS only.
OpenClaw 2026.3.22 🦞
🏪 ClawHub plugin marketplace
🤖 MiniMax M2.7, GPT-5.4-mini/nano + per-agent reasoning
💬 /btw side questions
🏖️ OpenShell + SSH sandboxes
🌐 Exa, Tavily, Firecrawl search
This release is so big it needs its own table of contents. https://t.co/XvRbXEduGC
@bidhanxcode Both win on distribution.
The real game is discovery.
Whoever controls what gets surfaced… wins.
Same shift in AI.
If you’re not recommended, you don’t exist.
ARI is about measuring that.