Automatically Extract High-Demand Keywords for SEO Articles from Tens of Thousands of First-Party Data Points — New AXer Resource Launch

AiTRIGGER Inc. (Headquarters: Shinjuku-ku, Tokyo; hereinafter 'AiTRIGGER') will begin offering, starting July 2026, a new system within its marketing AX support service 'AXer' that automatically extracts keywords for SEO articles in order of demand from tens of thousands of first-party data accumulated by companies. This service targets businesses that possess large volumes of performance data but have not effectively leveraged it in content strategies. The system was initially developed and deployed for a transportation and tourism-related company (name withheld), aligning with the marketing AX philosophy of transforming dormant internal data into the foundation of content strategy.

Why We Developed a System to Determine Keywords from Data

During marketing support for a transportation and tourism company (name withheld), AiTRIGGER identified that keyword selection for SEO articles relied heavily on individual staff experience and generic keyword tools.

Each article topic required time-consuming research, and whether a keyword aligned with the company’s strengths was ultimately judged by intuition. For high-involvement products with long consideration periods, mass content production is essential, but the burden of ideation and weak differentiation had become major pain points in sustaining content initiatives.

To address this, AiTRIGGER built an aggregation API to normalize the company’s tens of thousands of quotation records, designing a system that assigns demand scores based on combinations of factors such as departure location, purpose of use, and vehicle type. After confirming its viability for internal operations, AiTRIGGER finalized a keyword strategy table for the first 100 articles and is now launching this as a new AXer resource for other companies facing similar challenges.

Placing Real Customer Demand at the Core of Content Strategy

AiTRIGGER’s approach is simple: keywords should be determined not by search volume from tools, but by actual demand received by the company. By placing first-party data at the core of content strategy, three key changes emerge:

① Keyword selection shifts from 'intuition' to 'demand ranking'

The aggregation API normalizes quotation data and compiles request volume distributions for each combination (e.g., departure location × purpose × vehicle type). By assigning demand scores, the system mechanically extracts over 300 keyword candidates with demand scores. This allows content teams to begin ideation from a list ranked by actual demand, reducing reliance on individual experience.

② Differentiation is established before writing begins

Each extracted keyword candidate is linked to proprietary first-party insights (e.g., vehicle type mix within the segment, destination trends, peak inquiry months). Having unique, company-specific data from the outset enables writers to craft content with built-in differentiation from the moment a topic is selected.

③ Sustainable content production without idea exhaustion

Keywords are systematically generated through data combinations, eliminating dependence on ad-hoc, individual creativity.

Projections indicate that even at a pace of 100 articles per month, the pool of viable topics will not be exhausted within a year, enabling continuous, scalable content production.

This system is not offered as a standalone SaaS tool. Instead, it is implemented as part of AXer’s suite of resources (people, tools, and know-how), customized to each company’s data infrastructure. Given the use of first-party data, data handling and security requirements are tailored to each client’s environment.

Transforming 'Dormant First-Party Data' into a Decision-Making Foundation

This is more than an improvement to keyword tools—it’s a proven design for transforming underutilized internal data into the foundation of strategic decisions. AXer is a marketing AX resource that designs, builds, and operates entire business workflows using people, tools, and expertise.

The workflow shifts from keyword discovery based on staff experience and generic tools to one where a company’s own customer data proactively suggests high-demand topics. Using the implementation in the chartered bus industry as a model, AiTRIGGER will progressively roll out this service to companies with large volumes of performance data. This is not a one-size-fits-all package but a customizable solution adapted to each company’s data and challenges. Consultations are welcome from the initial stages, including keyword organization and data audits.

AXer Service Page https://aitrigger.co.jp/service/axer/

AiTRIGGER Inc. Headquarters: 16F D Tower Nishi-Shinjuku, 6-11-3 Nishi-Shinjuku, Shinjuku-ku, Tokyo Business: Digital marketing support (performance advertising, in-house support), marketing resource provision (MRM), marketing AX services URL: https://aitrigger.co.jp/