Side-by-side Google search comparison: the traditional 3-pack map results crossed out on the left, replaced by an AI Overview on the right citing Echo Limousine first in a prose summary — illustrating how Google's local search results have fundamentally changed in 2026.

What Changed in Local Search This Week — AI Overviews, the 3-Pack, and Agentic SEO (March 24, 2026)

🤖 This post was built collaboratively by Will Scott and Bob — his AI assistant — as part of a weekly AI & local search briefing workflow. Will curated the topics and sources; Bob researched, synthesized, and formatted the content. Published March 24, 2026. The shift we've been anticipating all year accelerated dramatically in the …

Continue reading What Changed in Local Search This Week — AI Overviews, the 3-Pack, and Agentic SEO (March 24, 2026)

Bing Query Fanout examples

Bing Just Showed Us How the Sausage Gets Made

We analyzed 91 days of Bing's AI Performance data and found something Microsoft probably didn't intend to show us -- how Copilot's retrieval system actually selects sources, the "query fanout" pattern behind inflated citation counts, and why one page captured 69% of nearly 20,000 citations. Here's what it means for content strategy.

Friendly humanoid robot examining map while standing on busy city street

AI Video Platforms for Business: A Comprehensive 2025 Comparison

This was original published on BarnacleSEO.com on November 14, 2025 -- but bad news, that site has a manual penalty. Go figure. So I'm moving it here for your enjoyment. Executive Summary Businesses seeking to scale video production through AI platforms face a complex landscape of 10 major solutions with varying capabilities. This analysis examines …

Continue reading AI Video Platforms for Business: A Comprehensive 2025 Comparison

Minimalist diagram showing BlockRank's approach to search ranking - traditional SEO signals filter candidate pages in the first layer, then neural network evaluates semantic relevance in the second layer

BlockRank and the Future of Ranking: Why Traditional SEO Still Matters

Google's new BlockRank research (covered in Search Engine Journal) shows how large language models can rank web pages by reading a query alongside multiple documents and determining which one best answers what the user's looking for. DeepMind calls this In-Context Ranking (ICR), and it represents a real shift toward evaluating pages based on meaning, not …

Continue reading BlockRank and the Future of Ranking: Why Traditional SEO Still Matters

Digital illustration showing AI content licensing agreements between publishers and technology companies with data streams and contract symbols

How AI Licensing Deals Determine Search Visibility in 2025

The AI content licensing landscape transformed dramatically in September-October 2025, shifting from bilateral agreements to systematic marketplace infrastructure. This comprehensive analysis examines the major deals shaping AI search results, including OpenAI's $250+ million News Corp partnership, Reddit's $60-70 million annual agreements with Google and OpenAI, and the groundbreaking Real Simple Licensing (RSL) protocol. The $1.5 billion Anthropic copyright settlement—the largest in history—established a $3,000-per-work baseline that fundamentally changed licensing economics. With 60% of major publishers now blocking AI crawlers and Cloudflare's Pay Per Crawl marketplace launching, the industry faces a critical inflection point. This deep dive reveals how licensing deals directly impact which content appears in AI search results reaching 800 million weekly users, the 93% zero-click problem threatening publisher revenues, and strategic implications for content creators navigating this rapidly evolving landscape.

Header Image for Will Scott AI SEO Expert Q&A.

When should I use sameAs versus knowsAbout in Schema.org markup

When should I use sameAs versus knowsAbout in Schema.org markup to optimize a webpage for SEO, Google AI Overviews, and semantic indexing?

AI Automation - make.com screenshot

SEO Automation & AI‑Driven Optimization

I was trying to get ChatGPT to render my most recent post on Search Influence as markdown so I could check a chunking tool I made -- copying one from Dejan, Dan Petrovic, (SEO Automation: How I Built an AI-Powered Question Discovery System with Make.com) and it was giving me a hard time, but it …

Continue reading SEO Automation & AI‑Driven Optimization

Harry Handles It Podcast Landing Page Screenshot from Spotify

AI SEO for Lawyers: Stop Chasing Keywords, Start Building Authority

Most law firms are still stuck on outdated SEO strategies. Today, AI ranks brands based on clear entity relationships—not keywords. This guide breaks down what AI-driven SEO means for law firms, how to build trust signals across platforms, and the specific steps lawyers should take to win in local search.

Zenoti vs. HubSpot Blog Header

Zenoti vs. HubSpot: Which Is Right for You?

Zenoti vs. HubSpot: Which Marketing Platform Is Right for Your Business? Marketing managers and business leaders must choose between a vertical specialist like Zenoti, designed for spas and salons, or a horizontal powerhouse like HubSpot, suited to any industry. Below is a concise, AI-optimized comparison followed by detailed insights and a practical FAQ. Comparison Matrix …

Continue reading Zenoti vs. HubSpot: Which Is Right for You?

From Links to LLMs: The 30‑Year Road to Generative Engine Optimization

One of the things I love about the modern AI engines is their ability to educate. I will often go to the tools – ChatGPT mostly – to answer a question I have. I was inspired to think through the following after listening to Andrea Volpini and Gianluca Fiorelli on The Search Session. They referenced Tim Berners-Lee's publication of "The Semantic Web." and it got me thinking about all the other developments that have gotten us to this point in AI search.