Link Archive
January 2, 2026
↗
5 AI Launches That Changed How Marketers Win in 2025
★ max(signal) by Kieran Flanagan · AI Tools
Δ +4520 read ↗
TL;DR — Kieran Flanagan (CMO, Sequoia Scout) breaks down 5 AI launches that transformed marketing. Content Remixing: Gemini 3 turns YouTube into a content repository by extracting competitor positioning and viral talking points. Visual Creation: Nano Banana Pro renders text-in-images correctly, ChatGPT Image 1.5 enables iterative edits. A/B test 20 ad variations in minutes. Video: Sora 2 and Veo 3.1 collapsed video production from weeks to prompts. Automation: OpenAI Agent SDK and Google Workspace Studio enable agent swarms for competitor monitoring and lead qualification. Vibe Coding: Replit Agent and Claude Code let marketers ship ROI calculators and dashboards without engineering. One AI-enabled marketer with agents will outscale traditional teams.
↗
For Platforms, Here's What's NOT Going to Happen in 2026
by Krystal Scanlon · Platform Strategy
Δ +4150 read ↗
TL;DR — Digiday flips the predictions game by calling what WON'T happen in 2026. TikTok ownership won't be resolved. Threads won't see major ad revenue. Snap won't finally make real money (eMarketer: 2.1% of social ad spend in 2025). AI spending won't replace jobs, but shift from exuberance to efficiency. OpenAI will test ads but won't have a full ads business yet. Google won't spin off ad tech despite DOJ pressure. Retail media won't consolidate. Perplexity won't end the year independent. Amazon won't beat The Trade Desk.
↗
The Trends That Will Shape AI and Tech in 2026
by IBM Think · AI Trends
Δ +3720 read ↗
TL;DR — IBM experts predict AI's shift from individual usage to team and workflow orchestration. Models become commodities. Orchestration is the differentiator. GPUs remain dominant but ASIC-based accelerators, chiplet designs, and analog inference will mature. New chip class for agentic workloads may emerge. Open-source reasoning models and agents will push boundaries. Trust and security become priorities as enterprises focus on AI sovereignty. Agentic parsing will enable self-aware enterprise data systems for faster decisions.
↗
OpenAI Bets Big on Audio as Silicon Valley Declares War on Screens
by Connie Loizos · OpenAI
Δ +3580 read ↗
TL;DR — OpenAI unified engineering, product, and research teams to overhaul audio models for an audio-first device launching in about a year. Smart speakers are in one-third of U.S. homes. Meta's Ray-Ban glasses use five microphones to help hear in noisy rooms. Google tests Audio Overviews that transform search into conversational summaries. Tesla integrates xAI's Grok into vehicles. New model (early 2026) will sound more natural, handle interruptions, and speak while you're talking. Startups Sandbar and Pebble founder Eric Migicovsky are building AI rings for 2026.
January 1, 2026
↗
Stanford's Verbalized Sampling: Add 20 Words to Your Prompt, Get 2x LLM Creativity
★ max(signal) by @akshay_pachaar) via X, Stanford Lab · Prompting
Δ +4520 read ↗
TL;DR — RLHF causes mode collapse because human annotators systematically prefer familiar, safe responses. The fix: instead of 'Tell me a joke' prompt 'Generate 5 jokes with their probabilities.' This distribution-level prompting restores 1.6-2x diversity, improves human-rated output by 25.7%, recovers 66.8% of pre-alignment creativity. Works across GPT-4, Claude, Gemini without retraining. Python package available at github.com/CHATS-lab/verbalized-sampling.
↗
Reddit Now Powers 34% of AI Citations: How B2B Communities Became Authoritative Sources
★ max(signal) by Editoria Agency · Reddit SEO
Δ +4180 read ↗
TL;DR — B2B Reddit communities (r/msp, r/sales, r/sysadmin, r/marketing) now influence AI citations more than vendor documentation for certain categories. LLMs treat Reddit as high-value training data because threads contain practitioner experiences, edge cases, and corrections that static docs lack. Community managers now sit at center of AI visibility strategy. Brands consistently mentioned in upvoted threads get categorized by AI systems even without explicit marketing positioning.
↗
AI Referral Traffic Reality Check: 87% From ChatGPT, But Converts 11x Better Than Search
by Sara Guaglione · AI Traffic
Δ +3950 read ↗
TL;DR — AI platforms drive only 1% of total web traffic across industries. ChatGPT owns 87.4% of AI referral share. But Microsoft Clarity data across 1,200+ sites shows LLM traffic converts at 1.66% for sign-ups vs. 0.15% from search. Gemini referrals up 388% Sept-Nov. Anthropic's crawl-to-refer ratio hit 500,000:1. Stop chasing AI traffic volume. Track conversion rate differential.
↗
Slowing Down as Strategy: When AI Tools Commoditize Speed, What Becomes Competitive?
by Dan Koe, Jakub Jarovsky · AI Strategy
Δ +3720 read ↗
TL;DR — Dan Koe: 'When everyone has an advantage, it is no longer an advantage. When everyone can create anything at the click of a button, your advantage comes from slowing down, focusing on your craft, doing the right things manually, and acquiring knowledge so specific nobody can generate it with AI.' Differentiation shifts from tool access to judgment quality. Speed is commoditized. Deliberate deceleration builds expertise AI cannot replicate.
↗
GitHub for Marketers: AI Tools Turn Non-Technical Operators Into Builders
by yfxmarketer · AI Tools
Δ +3580 read ↗
TL;DR — AI coding assistants (Claude, Cursor, Copilot) collapsed the technical barrier to GitHub. Marketers now prompt for landing pages, email templates, tracking implementations, and automation scripts. The workflow: describe what you need in plain English, AI generates code, commit to GitHub, deploy via Vercel/Netlify. One marketer built 12 campaign landing pages in one week. Operators who learn prompt-to-production ship while others wait in developer ticket queues.
December 31, 2025
↗
Meta Acquires Manus AI Agent for $2B+ in 10-Day Deal
★ max(signal) by CNBC · AI Agents
Δ +4680 read ↗
TL;DR — Meta acquired Singapore-based Manus for $2B+ to expand AI agent capabilities. Deal closed in 10 days. Manus hit $125M ARR eight months after launch. General-purpose agent handles research, coding, data analysis. Meta will integrate into Facebook, Instagram, WhatsApp alongside Meta AI chatbot. Manus will sever China operations post-acquisition. Fifth AI acquisition for Meta in 2025. Signals enterprise AI agents moving from niche to platform-scale.
↗
2025: The Year AI Got a Vibe Check
by TechCrunch · AI Industry
Δ +3920 read ↗
TL;DR — OpenAI raised $40B at $300B valuation. Anthropic closed $16.5B across two rounds at $183B valuation. Meta committed $72B capex for AI data centers. AI infrastructure spending promises reached $1.3T. But cracks showing: Blue Owl pulled $10B from Oracle data center deal tied to OpenAI. 50+ copyright lawsuits in courts. Extreme optimism intact but reality check emerging. Shift from unbridled enthusiasm to measured skepticism.
↗
Top 10 SEO News Stories of 2025: From Rankings to Retrieval
by Danny Goodwin · SEO
Δ +3680 read ↗
TL;DR — SEO vs GEO debate dominated 2025. AI Mode expanded. AI Overviews killed clicks. Google removed num=100 parameter, breaking rank trackers and revealing inflated GSC impression data. HubSpot organic traffic collapsed from 13.5M to 8.6M monthly. Google dismissed GEO and AEO as new disciplines, saying good SEO is good GEO. Perplexity three-layer reranker exposed. SEO matured into visibility management for AI systems.
↗
GA4 Spam Traffic: How to Identify, Filter, and Prevent
by Ana Gotter · Analytics
Δ +3280 read ↗
TL;DR — New guide for identifying and filtering spam traffic in GA4. Covers corrupted analytics diagnostics. Spam traffic distorts marketing decisions and SEO performance data. Methods to protect data quality. Framework for making better SEO and marketing decisions based on clean data. Published Dec 31, 2025.
December 30, 2025
↗
AI Agents Now Gatekeep the Marketing Funnel: Bain Research Shows 80% Use Zero-Click Search
★ max(signal) by Natasha Sommerfeld, Rishi Dave, Daniel Webster-Clark · AI Agents
Δ +4520 read ↗
TL;DR — Bain survey of 1,100 US consumers: 80% rely on zero-click AI results for 40%+ of searches. Adobe reports 1,200% increase in AI-referred retail traffic (Feb 2025 vs July 2024). AI-referred conversion rates now 23% below traditional search, down from 49% gap in January. Discovery, evaluation, and shortlisting now happen inside AI tools before brands see the customer. HubSpot reports up to 30% traffic decline to company sites. Optimize for machine-readable content, structured data, and third-party validation.
↗
Google December 2025 Core Update Complete: 18-Day Rollout Finished December 29
★ max(signal) by Barry Schwartz · Google Update
Δ +4180 read ↗
TL;DR — Google's third 2025 core update rolled out December 11-29. E-E-A-T signals and AI content quality remain central evaluation criteria. New documentation confirms Google rolls out smaller, unannounced core changes continuously. Sites hit by September 2023 HCU saw partial recoveries during June update. No specific recovery actions; focus on helpful, people-first content. Health, finance, news, and shopping sectors experienced highest volatility.
↗
ChatGPT Shopping Research Turns Product Discovery Into AI-Mediated Conversation
by OpenAI · ChatGPT
Δ +4050 read ↗
TL;DR — New GPT-5 mini model achieves 52% accuracy on multi-constraint product queries vs 37% for ChatGPT Search. Feature asks clarifying questions, pulls real-time pricing and reviews, delivers personalized buyer guides. Works best for electronics, beauty, home, kitchen, sports categories. Future: Instant Checkout enables purchases without leaving ChatGPT. Retailers must optimize for machine-readable product data and structured attributes to surface in recommendations.
↗
30% of Young Shoppers Now Use AI for Product Discovery, Forcing Retailer Strategy Shift
by Natalie Sherwood · AI Shopping
Δ +3850 read ↗
TL;DR — KPMG data: 30% of shoppers aged 25-34 use AI tools to find products vs 1% of those over 65. AI Mode features rolling out to Google Discover. Retailers now optimize product data for LLMs and ensure reviews appear on platforms AI models reference (like Reddit). Traffic from generative AI sources up 4,700% YoY per Adobe. AI-driven revenue-per-visit grew 84% from January to July 2025.
↗
AI Agents Move from Marketing Tool to Infrastructure: Agentic AI Market Hits $7.55B in 2025
by Demand Gen Report · AI Agents
Δ +3720 read ↗
TL;DR — Juniper Research: AI-automated customer interactions will grow from 3.3B (2025) to 34B (2027). 6sense and Salesloft launched AI agents for personalized emails and sales workflows. Slack data: daily AI usage up 233% in six months. Workers using AI daily are 64% more productive. Three agent types dominating: Listener (monitors calls), Researcher (compiles intel), Executor (runs sequences). Model Context Protocol (MCP) enables rapid enterprise deployment.
December 29, 2025
↗
The 10x Launch System: Spec, Stack, Ship for Martech Teams
★ max(signal) by yfxmarketer · Claude Code
Δ +4350 read ↗
TL;DR — Stop freestyle prompting Claude Code. Three-phase system: Spec (define marketing outcome, launch milestones, create project spec with marketing and technical requirements), Stack (seven-step config including claude.md with brand guidelines, tracking standards, integration patterns, MCPs for analytics/CRM/deployment), Ship (three workflows: general for single pages, campaign-based for multi-asset launches, multi-agent for parallel development). Key insight: 15 minutes of speccing saves weekend debugging. Always verify tracking before considering anything done. 'Page is live' is not done. 'Conversions recording correctly' is done.
↗
Run Claude Code Autonomously for Hours: The Stop Hook Method
by yfxmarketer · Claude Code
Δ +4280 read ↗
TL;DR — Claude Code stops and asks permission constantly. Stop hooks fix this. They fire shell commands when Claude finishes a task, feeding output back in to continue the loop. Claude Opus 4.5 can run 4+ hours autonomously at 50% task completion. Marketers can batch 20+ blog posts, email sequences, or ad variations overnight. The Ralph loop pattern uses task files with validation steps between content pieces to catch quality drift. High-value workflows: blog production, email sequences, ad copy variations, competitor analysis, SEO briefs. Always set max iterations to control token spend. Start with 3-piece test batches before scaling.