LLMOcheki opens recruitment of white-label partners, who can offer AI search work as SaaS under their own brand

Itera, Inc. (head office: Shinjuku-ku, Tokyo; Representative Director: Takayuki Muto) has opened recruitment for a partner programme around LLMOcheki, its tool for measuring and improving LLMO, aimed at advertising agencies, web production companies and SEO/MEO consultancies.

Three models are available: referral, resale and white label (OEM). Under white label, the admin screen can be offered under the partner’s own brand, so clients never see the name of the company that built it and the partner sells AI search work as its own SaaS. The admin screen is branded end to end, and there is no limit on sites or users. Measurement, improvement, article production and reporting results through GA4 come under a single contract, making it a product of your own without any development.

Background: the enquiries are arriving, with nowhere to send them

“We don’t come up in AI” is an enquiry arriving across every sector. In a survey we ran across thirty sectors and 897 queries, AI Overview appeared on 86.5% of them on average. Before anyone clicks a search result, AI answers are influencing decisions.

The companies being asked, however, have no way to take the work on. Win the business without being able to measure, and it flows to the specialists; build the capability yourself, and it means an investment in the millions of yen and more than six months.

AI search work is not a replacement for an existing service but an extension of one. You can begin by adding a single measure — exposure rate in AI search — to your monthly report.

What white label gives you

The admin screen under your own brand

An admin screen carrying your own logo and brand name can be given to clients. A custom domain is supported, so you can sell it as SaaS of your own making.

No limit on sites or users

The base fee does not change as clients are added, so you can propose without watching a ceiling.

Separation per client, with management in one place

Projects are divided by client and managed together on one screen. Data is kept completely separate per customer, and no access from one to another occurs. You can also give a client view-only access.

Reports under your own brand

PDF and CSV reports can be produced per client, ready to go into your own monthly review as they are.

Optional wholesale

The MCP integration can be wholesaled to tenants beneath you at ¥4,900 per month.

Three models

Referral, resale and white label (OEM). The terms of each are set out on the partner page.

Partners can concentrate on proposing and approving

Measurement runs automatically every day. The site audit judges 68 items automatically and generates the remediation steps. Articles are generated from outline through body text, diagrams, key visual and FAQ Schema, and can be published from there. Reports are simply exported.

An AI consultant feature that has read the measurement data proposes what to do next, so a proposal can be put together without prior LLMO expertise.

The tool also produces the three-part set used in a first proposal: keywords where an AI summary appears but the client is not cited, media the AI refers to often where the client does not appear, and the site audit score.

Statistical measurement is what makes a monthly report hold up

An AI’s answer differs every time. Report from a single result and you cannot explain to a client why the number moved the following month.

LLMOcheki puts the same question repeatedly and records the result as a rate with a 95% confidence interval (Wilson score). Movement inside the interval can be separated out as noise, movement outside it as a real change.

Our measurement method is published, so partners can use it as grounds when explaining to a client. For an agency, being accountable for the measurement is a precondition of having a product at all.

Our measurement method https://llmocheki.com/methodology

Adoption

As of early September 2026, LLMOcheki was in use at 180 brands. In our measurement data from July to September 2026, exposure rates rose by an average of 5.0 points, with the largest rise at 15.4 points.

Note: exposure rate is the proportion of answers across eight AI search engines in which a brand was mentioned, calculated by repeating the same prompt multiple times. Movement at projects with no record of work carried out includes natural variation.

Support in getting started

• Onboarding help with initial setup, free of charge
• Questions about operation and use, unlimited, at no extra cost, in Japanese
• Proposal document templates and talk scripts
• Accompaniment at first meetings
• Study sessions for partners

Terms

White label is ¥129,800 per month excluding tax on a monthly contract, with a setup fee of ¥100,000. On an annual contract it works out at ¥108,000 per month. The minimum term is six months.

Terms for referral partners and resellers are given during an individual consultation.

Setting up the environment takes three working days at the earliest, and roughly two weeks is the guide from first enquiry to going live.

Partner page https://llmocheki.com/agency

Comment from our Representative Director

“‘Are we showing up in AI?’ is a question already reaching the people on the ground. There simply are not enough companies able to take it on. Spend six months building, and the product will not be ready while the enquiries are still coming. So we decided it would be faster to hand over the admin screen itself.

We publish our measurement method because an agency that cannot explain it to a client has no product.”

About LLMOcheki

LLMOcheki is a Japanese-built tool for measuring and improving LLMO. It measures daily how a brand is mentioned and cited across eight AI search engines — ChatGPT, Gemini, Claude, Perplexity, Grok, Google AI Mode, AI Overview and Copilot — and carries the work through to improvement. It is planned, built and operated entirely in Japan.

LLMOcheki https://llmocheki.com/