ChatGPT Becomes a Tutor, Edge Gets a Copilot, and Google Levels-Up IQ

• The Story: OpenAI’s new Study Mode turns ChatGPT into an interactive coach. It breaks problems into guided steps, prompts students with “Why?” and “What if?” questions, offers granular hints, and auto-bundles a recap and quiz, all live for Free, Plus, Pro, and Team users.

• The Bigger Picture: This pivots ChatGPT from “answer vending machine” to pedagogy platform, neutralising homework-ban critics and opening a lane against point-solution ed-tech apps. It’s also a data flywheel: every tutor session refines OpenAI’s chain-of-thought safety filters.

• The Insight: If you sell courses or training, your differentiator can’t be raw explanations anymore — ChatGPT now supplies those on tap. Win on meta-value: cohort community, applied projects, or proprietary assessments layered on top of the new tutor.

🛠️ Edge Copilot Mode Brings Agentic AI to Every Tab

• The Story: Microsoft has embedded Copilot Mode directly into Edge. The side-panel agent voice-searches open tabs, summarises multi-site research, and — once users grant history + credential access, it will soon complete bookings or errands. Free preview for Windows / macOS; paid tiers to follow.

• The Bigger Picture: After Perplexity’s Comet and Arc’s Dia, Edge adds Windows’ distribution firepower to the “agentic browser wars.” Search, task execution, and autofill automation now live one keystroke from URL.

• The Insight: Expect longer on-page sessions and fewer tab hops; attribution models will skew as in-browser agents perform micro-conversions (e.g., autofilling checkout) invisible to legacy analytics. Revise funnel tracking before your metrics misfire.

🧠 Gemini 2.5 “Deep Think” Debuts at $250/Month

• The Story: Google DeepMind released Gemini 2.5 Deep Think, touting “parallel thinking” that spawns multiple reasoning paths simultaneously. Benchmarks beat o3 and Grok 4, though it trails the IMO-gold internal build. Access sits behind the AI Ultra tier at $250/month.

• The Bigger Picture: Model access is being sliced like GPU SKUs — pay up for premium cognition. For Google, the pricing also de-risks R&D costs while seeding a high-margin enterprise lane.

• The Insight: Budget “model spend” the way you budget cloud credits. High-stakes verticals (quant, bio, law) will start gating tasks behind these tiered brains, so finance teams need a line item for IQ.

📈 AI Propels Google & Meta to Double-Digit Q2 Ad Growth

• The Story: Meta’s Q2 ad revenue jumped 21 % YoY to $47 B; YouTube Shorts climbed 13 % to $10 B. Both firms attribute gains to AI-led creative and targeting — Meta cites +5 % conversions on Instagram, +3 % on Facebook.

• The Bigger Picture: AI features have flipped from pilot to default. Campaigns without generative copy or adaptive targeting now benchmark below market averages, resetting what “good” performance looks like.

• The Insight: Creative fatigue will accelerate. Winning teams already schedule weekly AI-variant refreshes, treat feed health (schema, meta fields, product imagery) as critical infrastructure, and budget extra lift for Shorts/Reels inventory.

🔍 Google Ads “AI Max” Auto-Generates Intent-Driven Campaigns

• The Story: New “AI Max” campaigns crawl landing pages, auto-write ads, and bid to real-time intent. Early pilots report +27 % conversions at steady ROAS versus classic Search campaigns.

• The Bigger Picture: Keyword research is losing primacy; site structure, schema, and content freshness feed Google’s creative engine directly. SEO and SEM finally converge under one operational roof.

• The Insight: Growth teams should shift hours from keyword spreadsheets to feed management and on-page FAQ depth. Your landing page is now both ad creative and targeting signal—polish accordingly.

Birkenstock: Turning 250 Years of Heritage Into a Gen-Z Growth Engine

The Problem: 

Birkenstock’s sandals had global recognition yet carried baggage: “hippie nurse” clichés, siloed sub-labels, and an inward-looking culture that prized sales volume over brand equity.

As the company prepared for an NYSE listing, analysts warned its dated image and fragmented portfolio could dampen demand and depress valuation.

How They Moved: 

The board hired consultancy Vivaldi to dissect real-world demand.

Ethnographic “wardrobe safaris” and a 9-country survey produced four high-value tribes—Comfort Seekers, Independents, Acceptance Seekers, and Balancers—revealing that the brand’s growth ceiling wasn’t footwear design but emotional relevance.

Birkenstock condensed 17 sub-lines into one master brand under the promise of a “Genuine Spirit.” Every employee—from factory floor to flagship staff—went through narrative-retail boot camps to internalise that mantra.

How it Worked: 

Stores were re-merchandised by style archetype (“Urban Minimal,” “Heritage Classic,” “Street Utility”) rather than SKU code.

Pop-up “townhouse” experiences in New York and Berlin walked investors through 250 years of orthopedic craft before ending with a runway-style product reveal — cementing the idea that Birkenstock was both archive and avant-garde.

And online, a new media team ran perpetual thumbnail and row-order experiments; click-through on refreshed hero imagery jumped double-digits within eight weeks.

The Outcome:

The Insight: 

Heritage alone doesn’t convert new cohorts; it must be retold in the buyer’s language.

By marrying deep segmentation with live-story retail—and by letting data, not nostalgia, dictate product and thumbnail hierarchy — Birkenstock turned a centuries-old clog into a cross-generational fashion signal and unlocked a richer, higher-margin mix going into its IPO.

Findable.com

One dashboard to keep your content surfacing in ChatGPT, Gemini, Claude, Perplexity, and Google.

• What It Is:

  A SaaS SEO suite tuned for the age of LLM-first search, blending classic SERP analytics with real-time tracking of how—and whether—large language models cite your pages.

• Core Features:

  LLM gap analysis that spots missing topical clusters; live rank-tracking in AI answer boxes; EEAT/author-entity audits; AI-FAQ and schema generators; crawlability and site-speed scanner; Google Search Console & Bing Webmaster hooks; webhook alerts when a competitor replaces you in ChatGPT.

• Why It Beats DIY or Browser Plugins:

  Manual prompts and home-rolled scrapers can’t capture shifting AI answer panes across multiple models. Findable stitches traditional SEO metrics and LLM visibility into a single, always-on view—no copy-paste gymnastics.

• Who It’s For:

  SEO leads, content-ops teams, growth marketers, agencies pivoting to AI search, and product docs teams guarding dev-portal traffic.

• Use Case Snapshot:

  A fintech publisher used Findable’s EEAT audit to fix schema gaps on “zero-APR balance transfer” pages; within 30 days it secured ChatGPT’s top answer slot and lifted organic sign-ups 18 %.

• Pricing:

  Free monitor tier; Pro plans from $79 / month; enterprise API by quote.

1. Tim Cook to Staff: “Apple Has to Win in AI”

   In an all-hands memo, Cook called AI Apple’s top strategic priority, pushing teams to fast-track on-device models and consumer features that “leave no doubt” about Apple’s leadership.

2. Tesla & Samsung Sign $16.5 B AI6 Chip Pact
   Samsung Foundry will build Tesla’s next-gen AI6 silicon, shoring up supply for Full-Self-Driving and Dojo clusters.

3. Cloudflare Catches Perplexity Hiding Its Crawler
   Cloudflare logs show Perplexity spoofing user-agents to bypass “no-scrape” rules—raising fresh questions on AI data etiquette.

4. ChatGPT Surges to 700 M Weekly Actives
   Up from 500 M in March and 4× year-over-year—solidifying its lead as the world’s busiest consumer AI app.

Wish you had a ready-made vault of expert-grade AI prompts for every growth channel?

Drop this meta-prompt into ChatGPT and it will generate a copy-and-share library — one that mirrors the mental models of top-1 % marketers and scales across SEO, paid ads, brand strategy, product marketing, or any discipline you specify.

The Prompt:

How to use it:

Replace the bracketed discipline with your focus area — SEO, Paid Ads, Product Launch, Email Lifecycle, whatever.

Want a twist of Musk-level first-principle aggression or Ogilvy copycraft?
Append: “Apply the work style and problem-solving approach of [Famous Person] to this discipline.”

Expected Outcome: 

ChatGPT returns an organised table—tactic name, what it is, why it matters, one pro tip, and a copy-ready prompt—giving your team an instant, shareable playbook.

Instead of Googling “best GPT prompt for ad copy,” you’ll have a bespoke library sourced from top-tier mental models and packaged for immediate deployment across any channel.

✌🏻 That’s a wrap.

Keep building before the benchmarks harden — the edge accrues to those who optimise while the rules are still being written.