AI & Search Visibility

AI & Search Visibility

What Is AIO (AI Optimization)? Scope, AEO/GEO/LLMO and What It Costs in 2026

AIO (AI Optimization) is the umbrella term over AEO, GEO and LLMO. What it actually covers, how the three disciplines divide the work, how to sequence them, and what the market charges in 2026.

By Igor Voroshilov
AI & Search Visibility

Where AI visibility tools actually differ. Ten products, point by point.

Ten AI visibility tools compared across fourteen points: engines, cadence, turning findings into work and cost. A practical guide to choosing tools for GEO, LLMO and AEO.

By francesco-castronuovo
AI & Search Visibility

The full free AI audit: a tour of the on-demand PDF report

A demo-data tour of Supasaito's free AI brand audit: two AI engines, five analysis axes, a site audit and a PDF whose sections and slide count depend on the available data.

By Maksim Gurchenkov
AI & Search Visibility

What Is GEO? Generative Engine Optimization in 2026 — How To Do It, and What It Costs

GEO (Generative Engine Optimization) explained: how it differs from LLMO and AEO, a practical 6-step playbook, and 2026 cost benchmarks. From Supasaito, the team behind the free AI Visibility Audit — how to get cited and recommended by generative AI search.

By Igor Voroshilov
AI & Search Visibility

Google Now Scores Whether AI Agents Can Use Your Website — Here's What Agentic Browsing Checks

PageSpeed Insights now scores whether AI agents can use your site. What the four Agentic Browsing audits (llms.txt, accessibility tree, WebMCP, CLS) check, plus a 60-second self-check. From Supasaito, home of the free AI Visibility Audit.

By Igor Voroshilov
AI & Search Visibility

Why ChatGPT Recommends Your Competitors — and How to Fix It

You asked ChatGPT about your category and got your competitors. Here are the 5 reasons AI leaves your brand out — and how to fix each one, with a 15-minute self-check. From Supasaito, who run a free AI Visibility Audit.

By Igor Voroshilov
AI & Search Visibility

8 Best LLMO / AI Search Optimization Agencies in Japan (2026)

Choosing who runs your AI-search visibility in Japan, from outside the market. Eight LLMO / AIO firms compared on public data against five criteria — plus the three things that behave differently in Japan: the domestic sources AI cites, Japanese spelling variants, and why translated content is not cited. By Supasaito, a bilingual Tokyo team that implements, not just measures.

By Igor Voroshilov
AI & Search Visibility

How Much Does LLMO / AI Search Optimization Cost in Japan? (2026)

What LLMO / AIO optimization actually costs in Japan in 2026, based on public pricing. A one-off diagnostic runs ¥100K–500K; monthly consulting sits at ¥150K–800K. The price breakdown, how to choose, and what to check before you buy — from Supasaito.

By Igor Voroshilov
AI & Search Visibility

How To Do LLMO in 2026: Where To Start, and 12 Steps You Can Do In-House

How to do LLMO / AI search optimization: a 5-step way to start, plus the 12 steps you can run in-house and the areas worth outsourcing — across four layers: structure, content, off-site signals, measurement. From Supasaito, who run a free AI Visibility Audit.

By Igor Voroshilov
AI & Search Visibility

How to Measure AI Visibility: The 5-Axis Framework for LLMO Results

How to measure AI visibility (share of voice) with a 5-axis framework for LLMO results. Why SEO KPIs don't transfer, how to build a prompt panel, and what a monthly report should contain. From Supasaito, who run a free AI Visibility Audit.

By Igor Voroshilov
AI & Search Visibility

A technical SEO and GEO audit checks whether your site is ready for AI retrieval

How Supasaito checks domain-wide and page-level readiness, what SSPS does and does not mean, and which findings include implementation guidance.

By Maksim Gurchenkov
AI & Search Visibility

How to read your SSPS score and fix it with technical briefs

A practical guide to Supasaito's Site audit: how the SSPS readiness score works, why pages score low, and how to act on the findings.

By Maksim Gurchenkov
AI & Search Visibility

Supasaito MCP: bring recommendations into a compatible AI client

How a compatible MCP client can retrieve Supasaito metrics and recommendations, with a practical weekly-digest workflow and the access controls to understand first.

By Maksim Gurchenkov
AI & Search Visibility

GEO for CMOs: the 5 metrics to report to the board in the AI search era

As search moves into AI assistants, which metrics should a CMO track? The five axes — visibility, position, sentiment, share of voice, cited sources — and how to fold them into executive reporting.

By Maksim Gurchenkov
AI & Search Visibility

GEO for marketers: a weekly routine for improving AI search visibility

How to improve brand visibility in AI search as a practitioner — prompt design, spelling-variant setup, reading weekly scans, and turning opportunities into content briefs your team can execute.

By Maksim Gurchenkov
AI & Search Visibility

Technical GEO for marketing engineers: robots.txt, structured data, llms.txt

The technical side of GEO that engineering owns — admitting AI retrieval crawlers, serving server-rendered HTML, structured data that carries real facts, and an honest take on llms.txt.

By Maksim Gurchenkov
AI & Search Visibility

What AI crawler rendering data says about your initial HTML

Vercel found no JavaScript execution in 569M GPTBot requests. What that observation means, where Googlebot differs, and why critical text in initial HTML is the safest cross-platform baseline.

By Maksim Gurchenkov
AI & Search Visibility

Hyokiyure: how Japanese spelling variants break AI measurement — and how to count brand mentions correctly

キヤノン, キャノン, Canon. Japanese spelling variants cause systematic undercounting in AI-answer measurement. Why it happens and how to design measurement that counts correctly.

By Maksim Gurchenkov
AI & Search Visibility

GEO defined: how it differs from SEO, what research has and has not demonstrated, and practical steps companies in Japan can take today.

By Maksim Gurchenkov