Why Freshness Matters in AI visibility – How to Update Content for GEO
Content freshness is back in the conversation because search is becoming more answer-driven. That has pushed a lot of teams toward a bad habit: changing a date, tweaking a paragraph, and calling a page “fresh.” It looks active from the outside. It does very little on the inside. The better way to think about content […]
Fan-Out Queries Explained: A Guide for AI Visibility
When prompting an LLM model, the AI typically performs so-called fan-out queries, which means that it independently performs and processes multiple searches about a topic at the same time. That matters for AI visibility because a brand can rank for the obvious query and still miss the sources an AI model actually checks. If you want more consistent mentions, it helps to think less about single-keyword rankings and more about branch coverage across the subtopics, comparisons, evidence types, and editorial sources an AI engine may consult.
5 Steps to Build a GEO Content Strategy From Scratch in 2026
Building a content strategy for generative engines – what we call GEO – is not the same as adapting your SEO playbook with a few AI tweaks. The build order is different. You start with entity authority and structured claims, not keyword clusters. You prioritize citation-worthy depth over traffic optimization. And you sequence content types […]
How much does an AI visibility agency cost in 2026?
Most AI visibility agencies – often called GEO agencies – charge between $2,500 and $15,000+ per month. The range is wide because agencies sell very different things under the same label. Some run optimized SEO with a GEO layer on top. Others build real-world authority through PR, earned media, and third-party validation. Where you land depends on your industry’s competitiveness, your existing authority, your internal team, and the service model you choose.
How GEO differs for ChatGPT, Gemini, and Claude (and what to do about it)
ChatGPT rewards citation-friendly pages and gives you clean referral tracking via UTM source. Gemini runs on the same Search fundamentals you already know, plus snippet eligibility and multimodal readiness. Claude is the pickiest — its dynamic filtering discards fluff before reasoning even starts, so only evidence-dense, technically precise content survives.
How AI recommends local businesses — a study of lawyers, accountants, and dentists
AI recommends a tiny fraction of local businesses, and which ones surface varies dramatically by city size, category, and query language — patterns our study across 6 cities, 3 engines, and 2 languages reveals in detail.
How to track and measure AI visibility in 2026: a complete guide
As of March 2026, tracking AI visibility requires a 4-layer measurement model: presence, citation, traffic, and business impact. Combined with a structured prompt library, first-party analytics, and the right tools for your budget, businesses can measure and monitor how, when, and in what context AI tools like ChatGPT mention their brands.
How to Evaluate an AI Visibility Provider Before Signing
Before signing with any AI visibility agency, ask for a documented case study with live links, proof of organic editorial placements on third-party sites, and a clear month-1 deliverable plan. If a provider guarantees ChatGPT recommendations, relies only on in-house content, or can’t show external validation – walk away.
How AI visibility and GEO are going to change in Q2 2026
If you’ve been tracking AI visibility for more than a few months, you probably noticed that AI models are substantially more volatile compared to traditional search rankings – and the next few months are likely going to bring this home more than ever before. Q1 of 2026 already gave us a preview of what’s coming. […]
How to get your B2B service firm recommended by AI
Getting your B2B service firm recommended by AI requires editorial presence in the sources AI actually reads – not directory listings on Clutch or DesignRush. Our study of 20 prompts across 5 service categories and 3 AI engines found that AI and search produce very different vendor shortlists, that the opportunity varies dramatically by category, and that most service firms are completely invisible to AI right now. The good news: in fragmented categories, a relatively small number of well-placed editorial mentions can shift your visibility significantly.