ChatGPT Brings New Tools for Businesses

Your AI visibility went up 12% this month. Can you explain why?

Branded prompts can inflate the score. SE Visible by SE Ranking separates them, so you see how often AI mentions you when buyers don’t already know your name.

Prompts are auto-labeled by search intent and funnel stage, so you can start with decision-stage questions. See which topics competitors own in AI answers, ranked by the size of the gap.

Same engines on every plan. No engine add-ons. Unlimited seats, daily tracking, a Looker Studio connector, plus API and MCP for Claude or ChatGPT.

A visibility score isn’t a strategy. Find out what’s behind yours.

ChatGPT Brings New Tools for Businesses

UK Sovereign AI Fund Joins Fractile's $720M Round at $7B Valuation

London-based Fractile closed a Series C round at approximately $720 million, valuing the company at $7 billion — a 6× increase since May. Lightspeed and Redpoint led; Thrive Capital and the UK's new Sovereign AI Fund also participated. Fractile's technology places SRAM memory directly adjacent to compute on the chip, a different approach from Nvidia GPUs and one that is designed specifically for inference efficiency. The company has an initial $250 million chip supply agreement with Anthropic and targets first data center deployments in 2027.

AI Is Attempting a Formal Machine Proof of Signal's Encryption

The Beneficial AI Foundation and Lean FRO announced "Signal Shot" — a challenge to formally verify the Signal protocol using AI-assisted theorem proving in Lean. Cryspen and the Aeneas team are contributing tooling. The goal is a machine-checkable proof that Signal's end-to-end encryption is mathematically sound under its stated assumptions. The effort is distinct from earlier ETV Bharat reporting that described it as a completed proof; that reporting was premature. What exists is a structured challenge and a credible team — not yet a result.

New York's RAISE Act Takes Effect January 1 — What AI Companies Must Do

New York's Responsible AI Safety and Education (RAISE) Act goes into effect January 1, 2027. It applies to any frontier model developer deploying in New York whose training run exceeded 10²⁶ computational operations or cost more than $100 million. Required actions include annual safety reviews, independent third-party audits, 72-hour incident reporting, and a prohibition on deploying models posing "unreasonable risk of critical harm" (defined as death or serious injury to 100+ people.

AI NEWS HIGHLIGHT

• OpenAI "Compute Campuses" Rebrand — OpenAI is testing new terminology to distance its data center network from political opposition, reportedly preferring "AI compute campuses" over data center in communications.

• Azure AI Becomes Microsoft's Fastest-Growing Line — With Q1 FY2027 results in, Azure AI services are now the company's highest-growth product, cementing cloud AI as the enterprise default even as physical infrastructure faces headwinds.

• Apple and Alibaba's Qwen Partnership Goes Live — Apple's China AI launch marks the first time Siri has relied on a third-party model for core functionality in a major market.

• Blue Rose Research: AI Infrastructure Now Less Popular Than Nuclear Plants — New polling data released after the election shows AI data centers have become among the least-favored infrastructure types for Americans to live near.

• California Positioned to Drive AI Infrastructure Policy — With federal gridlock expected and state measures passing, political observers say California's regulatory framework will likely become the de facto national standard .

• 2028 Election Already Framed as AI Governance Referendum — Strategists on both sides of yesterday's results say the 2026 midterms were a preview: the 2028 presidential race is expected to feature AI regulation as a top-three campaign issue for the first time.

What AI Revenue Means for Your Team’s Budget

OpenAI's $70B annualized run rate and CoreWeave's $132.5B backlog aren't abstract Wall Street numbers — they represent what enterprises are actually committing to AI infrastructure and tooling. If your competitors are in that backlog, your budget assumptions from six months ago are almost certainly wrong. These prompts help you think through what the new economics mean for your planning cycle, vendor negotiations, and build-vs-buy decisions.

Ask your AI

1. Given that frontier AI model pricing dropped 20% in the past 30 days (Fable 5.2 at $8/$40 per million tokens vs. 5.1) and enterprise adoption is accelerating, audit our current AI spend: what are we paying per unit of useful output, what could we renegotiate or switch, and where are we locked into contracts that no longer reflect market rates?

2. CoreWeave's $132.5B backlog means hyperscalers and AI labs have committed to infrastructure at a scale that guarantees model availability and capacity for years — not months. How should that change our decision on whether to run models in-house, via API, or on dedicated cloud contracts? Lay out the tradeoffs for a company at our scale and stage.

3. New York's RAISE Act requires independent third-party audits and 72-hour incident reporting for frontier model deployments starting January 1, 2027. If we use frontier models in production, walk me through what a compliance readiness plan looks like: what documentation do we need, what counts as an "incident," and what does a third-party audit actually involve?

TOP TRENDING AI TOOLS

Enterprise & Productivity

• Claude Meetings — Anthropic's new video-call integration: joins meetings, listens in real-time, and converts discussions into structured action items, assigned owners, and follow-up tasks automatically.

• Helsing Clarity — Helsing's new defense AI analytics platform, positioned directly against Palantir's Maven Smart System for military intelligence and battlefield data processing.

Security & Code

• CrowdStrike Falcon Guardian — Agent kill-switch platform now in production, with Fiddler AI acquisition for behavior monitoring. The closest enterprise-grade perimeter for autonomous AI process control.

• Lean FRO + Signal Shot — Open formal-verification challenge targeting the Signal protocol with AI-assisted Lean proofs. For security engineers: the first credible attempt to machine-verify a production messaging protocol.

Infrastructure

• Fractile Inference Chips — SRAM-adjacent-to-compute architecture targeting inference efficiency at a fraction of GPU memory bandwidth requirements. First deployments 2027; $250M Anthropic supply agreement in place.

• Claude Fable 5.2 on AWS Bedrock / Google Vertex / Azure AI Foundry — All three clouds now carry Fable 5.2 at $8/$40 per million tokens. The lowest cost-per-performance-unit available on any major cloud as of this week.

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