Take control of what AI says about you

Suparanku is an AI Representation Management platform that shows you how AI describes your brand — and helps you improve it. AI learns about your company from your website and tells it to your customers; what it says is now part of your brand.

ChatGPT Claude Gemini AI Overviews
Free audit

AI Brand Audit Report

AI Visibility · GEO · AEO · LLMO analysis

Your visibility, ranking & sentiment across popular AI
Competitor comparison & cited sources, plus improvement actions
Download a ready-to-share PDF report
Free AI Brand Audit Book a consultation

Take control of what AI says about you

Suparanku is an AI Representation Management platform that shows you how AI describes your brand — and helps you improve it. AI learns about your company from your website and tells it to your customers; what it says is now part of your brand.

ChatGPT Claude Gemini AI Overviews
Free audit

AI Brand Audit Report

AI Visibility · GEO · AEO · LLMO analysis

Your visibility, ranking & sentiment across popular AI
Competitor comparison & cited sources, plus improvement actions
Download a ready-to-share PDF report
Free AI Brand Audit Book a consultation
How Suparanku works
CLIENTS
Prospects
Decision-makers
Partners
⋯
Question Answer

AI models

= the new middlemen

ChatGPTClaudeGeminiOverviews ⋯ other LLMs
Suparanku
Analyzes what AI says and which sources it cites — then shows what to fix and how.
Research Context Advice
SOURCES
Your site
Competitor sites
PR / news / media
⋯

Recommendation: what to fix & how

Fixes for your site & articles, where to publish, and format.

A new first point of contact

The buying decision now starts in the chat window

Before anyone ever lands on your site, AI has already answered the question "which one should I pick?" — with you on the shortlist, or without you. That conversation happens thousands of times a month and never shows up in your analytics.

37.0% of people in Japan already use AI for search — over 50% among those aged 20–29※1
~60% of searches end without a click through to any website※2
94% of B2B buyers use AI when choosing a vendor※3

※1 CyberAgent GEO Lab., wave 3 (March 2026, n=9,278)
※2 Bain & Company (2025)
※3 Forrester (Jan 2026)

Your business is nowhere in this answer. The customer sees only competitors — while AI either doesn't mention your brand or cites outdated information.

The buyer never reaches your site — GA4 records neither the visit nor this conversation.

The invisible funnel

Three layers of AI influence.
Your analytics sees only one

Every AI conversation about your category passes through three layers. Ordinary tools measure only the last one — and the thinnest.

Mention

Your brand name appears in the AI answer. Even without a click, you're already on the shortlist — this is where markets are won today.

Citation

AI cites your domain as a source — shaping what the answer says about you in your own words, not someone else's.

Traffic

The user finally reaches your site. The only layer visible in web analytics at all — and the narrowest one.

Suparanku continuously measures the two invisible layers — mentions and citations — and combines them with your web analytics, bringing all three funnel layers together in one place.

In site analytics you see only traffic — mentions and citations in AI answers stay invisible.

A new discipline

This calls for management, not a one-off report

What is AI Representation Management?

It’s a system that continuously measures and improves how AI assistants — ChatGPT, Claude, Gemini, AI Overviews — talk about your business.

It runs as a closed loop: every week Suparanku measures where you stand in AI, prepares improvements and measures again. Week after week.

AIO (AI Optimization) is the umbrella term for the AI-optimization tactics applied at the steps of the loop: GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), LLMO (Large Language Model Optimization).

The target keeps moving

Models update, competitors publish new content — AI answers and the sources they cite shift from week to week.※

A snapshot ages fast

A one-off audit or report goes stale within weeks: "set it and forget it" doesn’t work.

The loop compounds

Every week, the fixes feed the next measurement — improvements add up.

※ The volatility of AI answers and cited sources is documented in 2025–2026 industry research: a significant share of citations changes between weekly measurements. Drift in LLM behavior across model versions: Chen, Zaharia, Zou (Stanford / UC Berkeley), Harvard Data Science Review, 2024.

GEO · LLMO · AEO are AI-optimization tactics (AIO),

Suparanku manages
this loop for you

Product

A week inside Suparanku

A closed loop: first Suparanku understands your site and brand (context), then measures AI answers, proposes improvements, helps you publish and tracks the impact. The next scan is the re-measurement itself: there’s no separate step — the loop simply runs again. Your team doesn’t have to drive it by hand.

  1. Study your site & brand

    site ✓who you arewhat you sellspelling variants

    We read your site the way AI crawlers do and build a brand profile: who you are, what you sell and to whom, spelling variants (表記ゆれ). This is what AI sees.

  2. Measure AI answers

    ChatGPT Claude Gemini AI Overviews by plan
    VisibilityPositionSentimentCompetitorsSources

    Real prompts go out to the AI engines (the number depends on your plan). Each answer is broken down along 5 axes — shown up close below.

  3. Prepare recommendations

    High priority + brief
    market + expertise + audit

    AI pulls together current market knowledge, our expertise and the audit findings into concrete steps — to do yourself or hand off to AI agents.

  4. Create content

    draft blog + note

    We prepare the fixes and content from the recommendations — by your team or by AI agents — and publish them.

  5. Track the impact

    Visibility5862 Site SRPS7278 /blog/webflow-sf?sr=42

    We track everything we can: published URLs, your site’s technical signals, business context and analytics. The impact shows up in the very next scan.

Screens and figures are illustrative — not real data.

Site audit

Your site through the eyes of AI crawlers

Getting talked about is only half the job; the other half is being readable and citable. Suparanku checks every page the way AI engines do, and turns every gap into a fix-it task.

AI-readability checks across the whole domain

Crawlability, AI-bot access, structured data, canonical, hreflang, freshness — checked on every page.

Readiness scores: SRPS · SRPS+ · PERF

SRPS (Suparanku Page Score) —
a proprietary 0–100 score developed by Suparanku: how ready a single page is for AI to read and cite it.
SRPS+ (Suparanku Page Score+) —
a separate, stricter score from the deep audit: beyond technical readability, it judges the page’s semantic and content readiness — how completely and unambiguously its content answers the questions AI asks about your topic.
PERF (Performance) —
a speed score based on Lighthouse Core Web Vitals; added in the deep audit.

Fix-it briefs, not just red flags

Every issue comes with the exact robots, JSON-LD or meta change — ready for your team or an AI agent.

The tactics our briefs prioritize — quotations, statistics, named sources — delivered up to a 40% lift in visibility within generative answers in an academic benchmark.※

※ Aggarwal et al., "GEO: Generative Engine Optimization", KDD 2024 (Princeton et al.). Benchmark results; the effect depends on the topic and the source’s starting position.

Check your site free →

LLM answer analysis

We ask more than once — and dissect every answer

AI answers aren’t deterministic: the same question can give different answers from one moment to the next. So per scan, Suparanku takes several samples per prompt and averages them — the more there are, the more accurate the data. Each answer is dissected: whether you’re mentioned, how you’re talked about, who else is in the answer and where the sources come from.

Not once, but several samples

AI answers aren’t deterministic. Per scan we take several samples of the same prompt and average them — switch between them to see the spread. The more samples (the number depends on your plan), the more reliable the signal.

Visibility and sentiment

Whether you’re mentioned or not — and exactly how: positive wording is highlighted in green, negative in red. A phrase-by-phrase read, not an averaged "seems fine".

Competitors and position

Who else made it into the answer — competitors marked in orange — and where you rank, with the first mention flagged.

Answer sources

Which domains AI draws its answer about you from: your own content, independent platforms, or outdated and third-party material — broken down for every scan.

Language and local context

Built for the language and quirks of every market

AI talks about brands differently in every language: English-first tools miss mentions, misread tone and don’t know the local platforms. Suparanku works across 9 locales and, from day one, accounts for each market’s spelling, politeness and sources — the foundation every other number is built on. Below is the Japanese market as an example.

Spelling-variant matching (表記ゆれ)

Japanese brands are written many ways. Morphological analysis catches mentions that English-language tools miss.

Keigo-aware sentiment

Sentiment detection accounts for keigo and indirect expressions — where simple models get Japanese wrong.

Local infrastructure

Data in the Tokyo region, qualified invoices (インボイス), Japanese-language support. Operated by Apurichoumi Inc., Tokyo.

Recommendations and concrete actions

A scan ends not with a diagnosis, but with a plan

Every gap from the audit and every lost prompt becomes a brief: what to do, why, and what impact to expect. A draft is already attached. Do it with your own team — or connect your own AI agent over MCP and hand the loop to it.

Screens and figures are illustrative — not real data.

What to do, why, and what it delivers

Every brief is grounded in scan data: which prompt you’re losing, who AI cites instead of you, and which change will intercept that. Briefs are sorted by expected impact.

The draft is already inside

From the brief, Suparanku prepares a draft in your brand’s voice — an article, a comparison page or a markup fix. Your team just edits and publishes.

Or hand the loop to your AI agent — MCP

Suparanku also works as an MCP server: connect your own agent — Claude, ChatGPT or an in-house one. It reads metrics, scans and briefs, and on paid plans — executes briefs and publishes fixes. AI Representation Management can itself be handed to AI.

Impact tied to a specific change

A published URL comes under tracking: the next scan shows whether visibility, position and citations changed after that specific publication.

Who it’s for

Who is Suparanku for?

For agencies

Digital, SEO and PR agencies,
freelancers and marketing consultants

Launch the service your clients are already asking for

Clients come asking "why aren’t we in ChatGPT’s answers?". Suparanku is a ready-made engine for a GEO · AEO · LLMO service: measurements, a work plan and reports for each client’s brand. The expertise and the client relationship stay yours.

  • A new line on your price list — an AI-visibility service
  • All clients in one workspace, reports as PDF
  • Ready-made drafts speed up content production

For marketing teams

In-house marketing
and brand managers

Keep AI’s answers about your brand under your control

Buyers ask AI about your category every day. Suparanku shows what the engines answer about you, and every week gives you a short plan — what to fix so you’re in those answers.

  • See how each engine describes you
  • A weekly plan instead of "improve your content"
  • With your own team or your own AI agent — no vendor needed

Pricing

Pricing

Every plan includes 5-axis analysis and recommendations. Paid plans track changes with automatic weekly scans.

Free

Start with a free AI brand audit

¥0

  • One-time AI brand audit (single scan — results stay viewable)
  • 1 brand · 5 topics · 15 prompts
  • ChatGPT + Google AI Overviews (3 samples per scan)
  • Track up to 3 competitors
  • SEO/GEO/AIO (AI Optimization) site audit up to 1,000 pages crawled
  • Deep page audit: homepage only
  • View results & recommendations (read-only)
Free AI Brand Audit

No credit card required

Starter

For SMBs starting AI search monitoring

¥29,800/mo

  • 1 brand · 10 topics
  • 50 prompts per brand
  • Pick 3 of: ChatGPT, Claude, Gemini, Google AI Overviews
  • Automatic weekly scans (3 samples per scan)
  • Track up to 5 competitors
  • 50 manual refreshes / month
  • 30 content briefs / month
  • SEO/GEO/AIO (AI Optimization) site audit up to 1,000 pages crawled
  • Deep page audits: 100 / month
  • Team: up to 30 seats (invite read-only viewers)
  • MCP access (read + write) — connect external AI agents
Choose Starter

Self-serve — start and cancel anytime

Popular

Business

For mid-market teams that need deeper analysis

¥148,000/mo

  • 2 brands · 20 topics
  • 150 prompts per brand
  • All 4 engines: ChatGPT, Claude, Gemini, Google AI Overviews
  • Automatic weekly scans (3 samples per scan)
  • Track up to 30 competitors
  • 150 manual refreshes / month
  • 100 content briefs / month
  • SEO/GEO/AIO (AI Optimization) site audit up to 10,000 pages crawled
  • Deep page audits: 1,000 / month
  • Team roles: owner, admin, member, viewer (up to 30 seats)
  • AI source auto-categorization
  • MCP access (read + write) — connect external AI agents
Contact sales

Enterprise

For large organizations

Custom

  • SEO/GEO/AIO (AI Optimization) site audit, custom page coverage — find & fix what blocks AI from citing your site
  • Deep page audits: custom
  • Custom brands, topics and prompts
  • Custom selection of all available AI engines: ChatGPT, Claude, Gemini, Google AI Overviews
  • Custom samples and scan cadence
  • Full team roles + dedicated support
  • MCP access (read + write) — connect external AI agents
Contact sales
Plan comparison
Starter Business Enterprise
Monthly price ¥29,800 ¥148,000 Custom
Scan frequency Weekly Weekly Custom
Brands 1 2 Custom
Topics per brand 10 20 Custom
Prompts per brand 50 150 Custom
Competitors tracked per brand 5 30 Custom
Manual refreshes 50 / month 150 / month Custom
AI engines Pick 3 of: ChatGPT, Claude, Gemini, AI Overviews All 4 engines Custom
Samples per scan 3 3 Custom
Content briefs 30 / month 100 / month Custom
Site audit page coverage Up to 1,000 pages Up to 10,000 pages Custom
Deep page audits 100 / month 1,000 / month Custom
Team Up to 30 seats (viewers) Up to 30 seats · full roles Custom + dedicated support
AI source auto-categorization — ✓ ✓
AI agent access (MCP) ✓ read + write ✓ read + write ✓ read + write

※ Prices shown are the total — no separate Japanese consumption tax is added.

※ Annual contracts are billed as 10 months (2 months free).

※ Qualified invoice (インボイス) supported.

Updates

News & blog

News

  • The full free AI audit is open to everyone: a 34+ slide report
  • Introducing AI Representation Management: the category Suparanku is built for
  • Site audit is live: score how ready your site is for AI search

Blog

FAQ

Frequently asked questions

What is AI Representation Management?

A system for continuously measuring and improving how AI assistants talk about your business — a closed loop from business context to measurement, recommendations, published content, tracked URLs and re-measurement.

How is this different from GEO, LLMO and AEO?

GEO, LLMO and AEO are names for the tactics that help AI find and cite you. AI Representation Management is the system that runs those tactics as a loop: measure → recommend → execute → re-check. Suparanku covers all three.

How is this different from an AI-search consulting firm’s services?

Traditional support is usually built around monthly reports and meeting decks. Suparanku, as a system, gives you weekly automatic scans plus prioritized recommendations and content briefs. It pairs well with outside support — agencies and consultants are welcome users too.

How often does measurement happen?

Weekly automatic scans plus manual refreshes depending on your plan. Each scan collects several samples to smooth out the spread in answers.

Do I need a credit card to start?

No. Your first AI brand audit is free and full-depth: AI engine scans, a site audit and recommendations, delivered to your inbox as a 34+ slide PDF report. Billing starts only when you subscribe.

Where is my data stored?

In local infrastructure in the Tokyo region, with row-level tenant isolation. Qualified invoices (インボイス) are supported.

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