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HEROZ
HEROZ is an AI company providing AI solutions across various industries, originating from Shogi AI development.
Market Data Board
1.8M monthly avgRead the market signal first
Traffic and channel data use SimilarWeb methodology; keyword metrics come from DataForSEO; ranking and revenue signals come from Toolify. Evidence snapshot 2026-07-01.Estimated monthly traffic (directional, not audited revenue).
Primary market category.
Non-brand search share indicates how much task-led discovery may exist.
Channel mix share of visits
Top countries traffic share
Competitor traffic three-month visits
Keyword Evidence
5 keywordsTask-keyword opportunity table
Score is Shipsite's opportunity score, blending the metrics on the left. Auditable inputs are Volume, KD, CPC, allintitle and KGR.| Keyword | Volume | KD | CPC | KGR | Score |
|---|---|---|---|---|---|
| ai consulting | 8.1K | 25 | $33.13 | — | 79.1 |
| machine learning consulting | 880 | 0 | $43.08 | — | 39.8 |
| demand forecasting ai | 50 | 6 | $61.05 | — | 43.1 |
| decision optimization | 40 | 5 | $11.13 | — | 41.1 |
| ai solution company | 390 | 61 | $20.82 | — | 27.3 |
KGR is shown once allintitle sampling lands for a keyword; Volume, KD and CPC are already auditable.
Product Evidence
0 capturesProduct and pricing captures
Only the product's own public pages are shown here.No public product screenshots passed the current evidence gate.
Strategy Frameworks
Business canvases and strategic analysis
Nine grounded views derived from the measured product, traffic, keyword and market evidence: Business Model Canvas, Value Proposition Canvas, SWOT, 3C, 4P, PEST, Porter's five forces, the customer empathy map and the customer journey map — opened by the insight brief.One-line positioning
HEROZ is a Japanese AI company that turns Shogi-AI-derived evaluation, prediction, and optimization tech into cross-industry enterprise decision solutions.
Target user
End users are enterprise business teams; the buyer is an enterprise decision-maker; the job is solving prediction/optimization problems.
Category role
Positioned in the enterprise AI consulting/custom-solution category, with distinctive credibility from competitive Shogi-AI technology.
THE VERDICTHEROZ has converted its competitive Shogi-AI asset into a credible domestic enterprise-AI-consulting brand, but pricing opacity and near-total Japan concentration cap it as a niche prestige consultancy rather than a scalable platform business.
Non-obvious insights
- Direct plus organic search make up 93.3% of traffic with near-zero paid channels — not a marketing choice, but a structural consequence of selling unpriced custom projects that can't run a CTA ad.
- The 'ai consulting' keyword has 8,100 monthly volume at MEDIUM competition, yet with 98.32% of traffic locked to Japan, HEROZ captures almost none of this English-language market.
- The Shogi-adjacent studiok-i.net draws 4.26M visits, more than double HEROZ's own 1.8M, suggesting HEROZ underleverages its game-community narrative asset relative to its enterprise-consulting audience.
Mechanisms worth studying
- Proves a single distinctive technical-heritage story (competitive game AI) can substitute for a full marketing funnel in a domestic market, winning majority organic-plus-direct traffic without paid spend.
- Disproves the idea that a globally legible narrative (Shogi/Chess/Go) alone drives international scale — without localized go-to-market, international traffic stays negligible.
01 · Business Model Canvas
Business Model Canvas
- Stripe listed as payment infrastructure, though its role in a project-billing business is unclear.
- Unknown: no evidence of named industry or technology partners.
- Unknown: no evidence of investors or strategic capital partners.
- Payment infra is listed as Stripe, but core revenue is project-quoted consulting, likely settled via offline invoicing rather than standard Stripe checkout.
- Ongoing R&D on evaluation-function and prediction/optimization models.
- Custom project delivery and solution adaptation for clients across different industries.
- Enterprise relationship-building centered on the Japanese market, with direct-traffic-heavy acquisition.
- With paid and social channels near zero, marketing activity relies on Japanese media reputation from its Shogi-AI story rather than paid demand generation.
- Without standard pricing, project-based consulting requires a sales/scoping function (RFP response, custom proposals) rather than self-serve billing operations.
- Evaluation function, prediction, optimization, and decision-making capabilities derived from Shogi/Chess/Go AI research.
- No published standard price; pricing is custom per project, making cost comparison difficult.
- The competitive Shogi-AI track record may boost client confidence in technical rigor.
- Custom consulting engagements carry longer cycles and implementation risk, with no case-study data to mitigate that risk.
- The innovation narrative is game-AI technology transfer, yet the evidenced competitor traffic is from Shogi platforms, not AI-consulting rivals.
- A relationship-driven enterprise B2B sales model, with no evidence of self-serve signup.
- Unknown: no evidence of a support or customer-success team structure.
- Unknown: no evidence of repeat engagements or long-term contract renewal data.
- Trust is built on the public competitive Shogi-AI reputation, but no client case studies are evidenced.
- Apply prediction, optimization, and decision-making AI to specific industry problems such as demand forecasting.
- No standard pricing; the buyer procures through project-based consulting engagements, with no self-serve entry.
- Primarily Japanese enterprises (98.32% of traffic), more likely reached via direct outreach or referral than casual browsing.
- Pain is lacking top-tier AI decision-optimization expertise; gain is access to competition-grade evaluation-function technology.
- Unknown: no specific project pricing or ROI data evidenced.
- Proprietary evaluation-function technology from competitive Shogi/Chess/Go AI R&D.
- Strong brand credibility in the Japanese market (98.32% of traffic), tied to its game-AI reputation.
- Unknown: no evidence of team size, funding, or corporate structure.
- Ranked 111 on Toolify with 1.8M monthly visits, 98.32% from Japan — a nationally recognized Japanese AI-research brand rather than a global SaaS brand.
- Needs a bench of scarce game-AI-research consulting talent to staff custom projects — a specialized-skill capacity constraint rather than a compute one.
- Direct is 71.21% and Organic Search 22.09%, with almost no paid channel — acquisition relies on brand recognition and inbound enterprise inquiries.
- Direct traffic at 71.21% suggests brand/referral-driven consideration rather than open-market search shopping.
- No standard checkout; deals are quote-based, and the listed Stripe payment infra doesn't clearly fit a project-billing model.
- Likely delivered via custom project implementation rather than self-serve software delivery.
- Unknown: no evidence of a post-sale service channel.
- Significant R&D investment in evaluation-function, ML, and DL technology.
- Variable custom-implementation delivery cost that differs per client project.
- Operational cost of client relationship management and project management.
- The relationship-driven enterprise sales cycle likely carries higher CAC than self-serve SaaS.
- As project-based consulting, scaling cost is billable engineering hours and headcount, not metered API infrastructure cost.
- Custom project-quoted fees for AI consulting engagements, with no standardized price list.
- [N/A] Not applicable: the project-based model shows no evidence of a tiered subscription expansion path.
- The prediction/optimization technology may be licensed to industry clients, though no specific deal is evidenced.
- Its evaluation-function tech could be packaged as a licensable standalone engine/API, but no such productized licensing is evidenced.
02 · Value Proposition Canvas
Value Proposition Canvas
Product side · Value Map
- Custom AI consulting engagements applying evaluation, prediction, and optimization capabilities to client-specific problems.
- The en-service informational page showcases the cross-industry applicability of its game-AI-derived tech as a pre-sales trust-building asset.
- The competition-proven pedigree relieves buyer skepticism about an unproven AI vendor's technical depth.
- Custom project scoping relieves the pain of a rigid subscription tier failing to fit a bespoke forecasting or optimization problem.
- The service page's cross-industry framing creates the gain of buyers seeing a direct analogy from game-AI mechanics to their own industry problem.
- The Shogi-AI competitive heritage creates the gain of enhanced internal/board credibility for whoever champions the AI initiative.
Customer side · Customer Profile
- Apply proven game-AI decision-optimization techniques to a specific enterprise forecasting or optimization problem without building an in-house research team.
- Gain internal credibility for an AI initiative by partnering with a nationally recognized, competition-proven AI brand.
- No published pricing forces every deal through a slow custom negotiation process.
- Near-zero evidence of results outside Japan makes it hard for an international buyer to trust its applicability.
- Gains access to a rare, competition-tested evaluation-function AI approach distinct from generic ML consultancies.
- Gains the brand halo of associating with a nationally prestigious AI research pedigree.
03 · SWOT
SWOT Matrix
- Holds a competition-grade evaluation function derived from Shogi/Chess/Backgammon/Go AI research — a hard-to-replicate technical asset.
- 93.3% of traffic comes from Direct plus organic search without paid spend, indicating strong unaided brand pull in its home market.
- Occupies a distinctive niche — game-AI-heritage decision optimization — that the evidenced adjacent domains, none of them consulting rivals, leave largely uncontested.
- No published standard pricing limits self-serve discoverability and slows buyer evaluation.
- Traffic is heavily concentrated in Japan (98.32%), with minimal evidenced international presence (US 0.81%).
- Organic Social is only 1.76% of traffic, suggesting limited broader digital brand-building activity.
- 'AI consulting' gets 8,100 monthly searches, and with Organic Search already at 22.09%, there's room to grow further.
- Low-competition, high-CPC terms like 'demand forecasting ai' offer inexpensive positioning opportunities.
- Near-zero US and South Korea traffic leaves room to expand internationally by leveraging the tech reputation.
- MEDIUM competition on terms like 'ai consulting' signals a broad, well-contested general AI-consulting market.
- Traffic-adjacent domains like studiok-i.net are actually Shogi platforms, not confirmed AI-consulting competitors.
- Direct traffic at 71.21% creates risk if the referral/reputation pipeline weakens, given weak channel diversification.
04 · 3C / 05 · 4P
3C Analysis & 4P Mix
- Has an in-house evaluation-function/ML research team with a competitive-game-AI track record — a differentiated R&D capability versus generic consultancies.
- Project-quoted revenue with no published price list means unit economics are opaque, with margin depending entirely on deal-by-deal scoping and negotiation.
- Near-total Japan traffic concentration (98.32%) gives it a defensible home-market position but structurally caps its addressable market versus globally distributed AI-consulting rivals.
- Apply prediction, optimization, and decision-making AI to specific industry problems such as demand forecasting.
- Pain is lacking top-tier AI decision-optimization expertise; gain is access to competition-grade evaluation-function technology.
- Unknown: no specific project pricing or ROI data evidenced.
- Unknown: no same-job AI decision-optimization consulting competitor is evidenced.
- Unknown: no same-budget substitute (e.g., another AI-consulting boutique) is evidenced.
- studiok-i.net, lishogi.org, and 81dojo.com are traffic-adjacent Shogi platforms, not confirmed competitors.
- The core offering is AI consulting centered on evaluation function, prediction, optimization, and decision-making capabilities.
- The offering is bundled with the Shogi/Chess/Backgammon/Go AI heritage story, used as a pre-sales credibility feature rather than a separate SKU.
- No standard published price exists; every engagement is a custom quote, unlike the tiered SaaS pricing common in the AI-consulting category.
- Price discovery requires direct sales contact via the en-service page rather than a self-serve calculator.
- Distribution is almost entirely Direct (71.21%), consistent with a relationship-driven B2B sales motion rather than channel partners.
- Organic search (22.09%) is the only digital discovery channel with meaningful share, with essentially no presence on social platforms (1.76%).
- Organic Search is already 22.09% of traffic, and high 'ai consulting' search volume confirms this channel works.
- No public pricing plus Direct-dominant traffic suggests promotion relies on reputation/referral rather than paid acquisition.
06 · PEST
PEST Macro Environment
- Japan's comparatively light-touch AI governance lets HEROZ sell decision-support AI to domestic enterprises with fewer regulatory hurdles than EU-facing peers.
- Japanese government promotion of enterprise DX subsidies could be a political tailwind funding client budgets for HEROZ's consulting engagements.
- The 'ai consulting' keyword shows strong economic demand (CPC $33.13, 8,100 monthly volume), yet HEROZ's traffic remains 98.32% confined to Japan.
- Project-based revenue swings with Japanese corporate DX capex cycles, lacking the revenue-smoothing effect of subscription SaaS.
- Shogi carries strong cultural prestige in Japan, giving HEROZ's AI narrative a social credibility with domestic enterprise buyers that a generic AI-consulting brand lacks.
- Measurable search volume for terms like 'demand forecasting ai' reflects rising social acceptance of AI-assisted business decision-making.
- Generic LLM-based AI consulting tools are commoditizing the category, pressuring HEROZ to differentiate specifically via its game-AI-derived evaluation-function tech.
- Its game-tree-search/reinforcement-learning technology lineage risks appearing dated as generative/LLM approaches dominate the AI narrative.
07 · Five Forces
Porter's Five Forces
Entry into generic AI consulting is low-barrier, but replicating HEROZ's specific Shogi-AI research pedigree and prestige is high-barrier, protecting its niche positioning.
No evidence shows dependency on third-party foundation-model suppliers; its core evaluation-function tech appears self-built, keeping supplier power low.
With no published pricing, enterprise buyers negotiate project scope and cost case by case, giving them significant bargaining leverage.
The 8,100-volume 'ai consulting' keyword market shows generic AI/ML consulting firms are a ready substitute for buyers who don't specifically need game-AI-derived optimization.
The closest evidenced adjacent domains (studiok-i.net, lishogi.org, 81dojo.com) are Shogi platforms, not consulting rivals, leaving rivalry within its literal niche largely unmeasured.
08 · Empathy Map
Customer Empathy Map
Primary personaA strategy or operations executive at a traditional Japanese enterprise (e.g., manufacturing or retail) piloting AI for demand forecasting or optimization, wary of generic overseas AI vendors.
- "We need an AI solution that can handle demand forecasting.".
- "Can we use AI for decision optimization to improve our operational efficiency?".
- Believes HEROZ's Shogi-AI competition pedigree is more credible than an unproven consulting shop.
- Uncertain how to budget for the project without a published price range, complicating internal approval.
- Visits HEROZ's service page directly or via organic search rather than clicking comparison ads.
- Requests a custom quote consultation since no self-serve pricing exists, starting with a sales conversation before technical evaluation.
- Feels cautious optimism about applying competition-proven AI techniques to a real business problem.
- Feels some frustration at the opacity of custom-quote negotiations compared to a transparent SaaS price list.
09 · Journey Map
Customer Journey Map
Discover01
Evaluate02
Onboard03
Retain04
Advocate05
Emotion curve (inferred)
Key behavior
Discovers HEROZ mostly via Direct or organic search (93.3% combined) rather than social ads, likely stemming from media coverage of its Shogi-AI story.
Reads the en-service page's claim that Shogi/Chess/Backgammon/Go-derived AI applies across industries, to gauge fit for their specific forecasting or optimization problem.
Initiates a custom-scoped project engagement (no self-serve signup), requiring a sales/scoping conversation before any technical work starts.
Works through project-delivery milestones with HEROZ, judging results against forecasting/optimization KPIs, since there's no subscription renewal touchpoint.
If the project succeeds, refers HEROZ within Japanese industry networks, contributing to its 4.49% referral traffic share rather than public reviews.
Friction / drop-off
With US traffic at just 0.81% and South Korea 0.16%, non-Japanese buyers almost never discover HEROZ organically.
The abstract 'evaluation function/prediction/optimization' pitch lacks concrete case studies or ROI figures to benchmark against the well-established ai-consulting category (8,100 vol.).
With no standard price list or self-serve path, every prospect must go through a bespoke sales cycle, slowing time-to-start versus a subscription competitor.
Project-based engagements have a natural endpoint with no recurring subscription hook, risking the relationship lapsing after delivery unless a new project is scoped.
With 98.32% traffic concentrated in Japan and no case studies evidenced, satisfied-client advocacy has little visible path to convert into cross-border demand.
Product lever
The media-worthy Shogi-AI competition heritage narrative is the organic lever driving its 22.09% search share without paid spend.
The cross-industry framing of evaluation function/prediction/optimization lets prospects map their own problem onto proven game-AI mechanics.
The sales-led scoping conversation, with no self-serve option, lets HEROZ precisely tailor engagements — a lever suited to high-value but slow-close deals.
Milestone-based project delivery ties continued engagement to demonstrated forecasting/optimization results rather than a renewal date.
Dense Japanese industry-network referrals (4.49% referral share) substitute for a formal customer-advocacy program in generating new leads.
EVIDENCE BOUNDARIESUnknown project pricing or typical deal size, making the sales cycle length impossible to estimate.; Unknown case studies, named clients, or served industries, so the claimed cross-industry reach can't be verified.; Unknown team size, funding status, or corporate structure (e.g., public company status).; Unknown same-job AI-consulting competitors; only Shogi-related traffic-adjacent domains are evidenced.
Sources & Method
Evidence boundaries
Official website: https://heroz.jpOfficial pricing: https://heroz.co.jp/en-service
Ranking and revenue signals come from Toolify; traffic, channels and country distribution use SimilarWeb methodology; keyword Volume, KD and CPC come from DataForSEO. This is a research snapshot, not investment advice.
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