Hey, it’s Marc.
Salesforce’s Agentforce adoption has clearly showed how enterprises are reacting to AI agents. AI agent usage is up 233% in six months, and 8,000+ orgs are live on Agentforce. Companies like 1-800Accountant resolved 70% of admin chats autonomously, while Grupo Globo saw +22% subscriber retention.
But, not just Salesforce has an eye on Enterprise AI automation.
Over 250,000 companies can now plug HubSpot directly into ChatGPT, letting users query their CRM in natural language — no BI dashboard required. OpenAI now connects to tools like HubSpot, Slack, and Google Drive and offers deeper workflow integrations than Microsoft in many cases.
The takeaway: Enterprises aren't just testing AI anymore, they’re embedding it.
This week:
Salesforce launches Agentforce 3
Google launches open-source, AI coding tool
Spotlight: Generative Engine Optimization
Top AI vendors
Top Agent signals this week:
Salesforce launches Agentforce 3
Manus AI automates tasks by transforming user prompts into recurring workflows. Link
HCLTech helps companies run AI agents across teams. Link
Rubrik is acquiring Predibase to let enterprises build and deploy AI agents using fine-tuned open models on platforms like Bedrock and Google Agentspace. Link
👉 Get your brand in front of 30,000+ decision-makers — book your ad spot now.
Top Boardroom Reads This Week
The AI Land Grab: Meta’s $14B Scale Deal with Strings Attached (51)
Your Brain on ChatGPT (MIT)
Agentic Misalignment: How LLMs could be insider threats (Anthropic)
AI Training Load Fluctuations at Gigawatt-scale – Risk of Power Grid Blackout? (Semianalysis)
Google ups its Game for AI Developers with Gemini CLI (Reset to Zero)
Building AI Agents with llama.cpp (KD Nuggets)
Power Moves
Gemini Just Put a Super Agent in Your Terminal
Google launched Gemini CLI, a free, open-source tool that puts its most advanced AI (Gemini 2.5 Pro) directly into developers' terminals—with no limits for individual users: 60 model calls per minute, 1,000 per day. It also ships with a 1M token context window, Google Search grounding, and integrations with Code Assist and VS Code.
So what? It is an AI agent that can code, debug, search, and automate from the terminal. Vibe coding is no more a trend; big giants are also betting on it. [RELEASE]
Salesforce Fixes the Biggest AI Agent Problem
Salesforce just launched Agentforce 3, a major upgrade solving the #1 enterprise blocker to AI agent scaling: observability. The new Command Center gives execs real-time visibility into agent behavior, performance, and errors across tools like Slack, Datadog, and Splunk.
So what? Salesforce is building an agentic moat. AgentExchange now lists 100+ prebuilt actions and MCP integrations, making it easier for enterprises to skip dev time and accelerate time-to-value. Heroku and WRITER are enabling deeper vertical use cases in content, dev, and ops. Salesforce is positioning itself as the command layer for enterprise automation. [RELEASE]
Spotlight: Generative Engine Optimization
Your customers aren't Googling anymore. They're asking ChatGPT, Claude, and Perplexity. And if your brand isn't showing up in those AI responses, you're invisible.
The shift is massive: 40% of Gen Z now uses AI chatbots for search instead of traditional search engines, while most companies are still optimizing for Google's 2010 playbook.
What's Really Happening
Traditional SEO is dying a slow death. Keywords and backlinks matter less when AI decides what information to surface. Instead, AI models scan the entire internet and synthesize answers in real-time.
Enter Generative Engine Optimization (GEO) — the art of making AI love your content.
SEO was about ranking #1 on Google. GEO is about being the source AI quotes when answering questions about your industry.
Key start-ups: Brandlight, Profound and others below:
By the data: Princeton researchers tested GEO strategies across 10,000 queries. The results were staggering:
40% boost in AI citation rates for optimized content
Quotations and statistics drove the biggest gains
Keyword stuffing (the old SEO trick) actually hurt performance
How Companies Are Winning
1. They're reverse-engineering AI responses Lululemon discovered they appear in only 24% of relevant AI conversations — despite being a market leader. They're now tracking sentiment across AI platforms like they once tracked Google rankings.
2. They're creating "AI-first" content
Comparison articles (32% of all AI citations)
Stat-heavy industry reports
Expert quotes and case studies
FAQ-style explainers
3. They're gaming the training data AI models heavily cite Reddit, LinkedIn, and industry publications. Smart brands are planting authoritative content in these channels months before competitors catch on.
The Moat Effect
Early movers are building unbreachable advantages. Once your content becomes the authoritative source AI models cite, competitors face an uphill battle. It's like owning the first page of Google — but across every AI platform simultaneously.
The network effect compounds: More AI citations → Higher perceived authority → More human traffic → More content to optimize → More AI citations.
More on GEO:
GEO: Generative Engine Optimization (Princeton)
How Generative Engine Optimization (GEO) Rewrites the Rules of Search (a16z)
How to Rank Your Website on ChatGPT (Neil Patel)
Top AI Vendors This Week
👉 We’re tracking 1000s of AI and blockchain vendors so you find the right vendors, partners, and bet on the right tech. Sign up for early access.
More from 51:
That’s all for today.
Thanks,
Marc & Team
We help top AI and blockchain companies drive awareness, institutional credibility, and deal flow. We’re not a marketing agency. We are native industry veterans and operators with 10+ years in the space.