Blog

The AEO measurement blind spot: measuring yourself with your own queries proves nothing. Why you need user-centric question spaces and statistically significant observations, backed by 3,419 experiment data points.

Why Sighted publishes its methodology openly. Learning from Google Analytics and PageRank: the 'publish standards to create markets' approach, and our three-layer IP strategy.

Sighted's systematic 5-phase methodology for AI Visibility optimization: Measure, Diagnose, Optimize, Monitor, Iterate. Actions, outputs, and timelines for each phase.

Analysis of 4,365 citation URLs across 440 domains from GPR experiments. Six structural patterns common to AI-cited content, backed by quantitative data.

Complete record of Sighted's 120-day AI Visibility improvement on our own domain. Timeline of interventions mapped to measured outcomes. What worked and what didn't.

AI Visibility benchmarks across 10 industries in Japan. First-ever publication of industry-specific Mention Rate, Citation Rate, and Response Share baselines.

Defining Question Space and comparing Query-First vs URL-First measurement paradigms. How reverse-engineering AI's cognitive structure reveals your true AI Visibility.

Precise definitions, formulas, interpretation guidelines, and common misreadings for the five core AI Visibility metrics: Mention Rate, Citation Rate, Response Share, Placements, and AEO Score.

AI Visibility measures how much a brand is recognized, mentioned, and cited within AI-generated answers. Learn the four measurement dimensions (Mentions, Citations, Response Share, Placements) and how to start improving.

We asked 109 questions to AI search engines and analyzed 439 responses. 4,365 citation URLs across 440 domains revealed 5 conditions that determine whether AI recommends your site.

A systematic comparison of AEO (Answer Engine Optimization) and SEO (Search Engine Optimization) covering goals, metrics, and tactics. Learn how to combine both strategies to maximize visibility in the AI search era of 2026.

To get your content accurately cited by AI, you need to explicitly define entities and relationships before schema implementation. This advanced guide covers ontology design, Schema.org mapping, and impact on Sighted scores.

Following an SEO audit of our site (SEO Health Score: 68/100), we addressed the Critical and High priority issues. This article documents the improvements made.

Day 7 results: 2 Citations (2/14) and 5 Mentions (5/14), recovering from 0 Citations on Day 6. The official landing page was cited as the first source for a pricing query.

Recorded a mobile performance score of 67 on PageSpeed Insights. To address the root cause of LCP 7.6s -- a 3,100ms element render delay -- we reduced HeroSection initial animations, enabled Next.js Image optimization, and changed the GTM loading strategy.

On Day 5, the official site was cited in an AI response for the first time, for the query "AEO tools." Mentions also increased from 3 to 5.

How to use the AEO monitoring tool Sighted to see how ChatGPT and Perplexity mention and cite your brand, from measurement to optimization.

Day 4 results show 0 Citations and 3 Mentions. The root cause: the official site lacks citation-worthy articles for each target query, so a practical guide article became the top priority.

Day 3 results show 0 Citations and 3 Mentions. A query where AI correctly recognized the brand on Day 2 reverted to brand confusion, and we began preparing for backlink acquisition.

Re-measurement 1 day after adding glossary and FAQ entries. Mentions dropped from 4 to 3, but accurate brand recognition was confirmed for one query. Structured data implementation also completed.

We publicly share the AEO monitoring results for Sighted's own landing page. Starting from 0% Citations and 29% Mentions, we analyze the challenges and outline our action plan.

Your brand is mentioned in AI responses but never cited with a link. This guide diagnoses the situation across 4 patterns and provides actionable improvement strategies.

AEO (Answer Engine Optimization) explained through the Library & Librarian metaphor. A 4-phase practical guide based on 3,400+ observations for getting recommended by AI search engines.

Design principles for corporate websites optimized for LLMs, AI search, and AEO, with implementation examples from our own corporate site.