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Sales Engineering & Revenue Ops AI Copilots 2026: Gong, Clari, Breeze, Glossary Deep Comparison

北村 智宏Revenue Operations Architect
2026-04-2213分
Sales TechRevOpsGongClariHubSpot BreezeGlossary AI

In 2026, Sales AI Copilots Moved from "Assist" to "Co-Drive"

Through 2024, Sales AI amounted to "a tool that summarizes call recordings after the fact." From the second half of 2025, the primary arena shifted to "active co-driving" capabilities: real-time intervention during live deals, deal risk prediction, and personalization of outbound sequences. Gong Anywhere, Clari Copilot, HubSpot Breeze, and Glossary AI each embody a distinct approach, and as of Q1 2026, "at least one of these is mandatory" is the prevailing sentiment among US SaaS companies at the mid-market and above.

In Japan, estimated adoption remains below 10%, but uptake is accelerating at Japanese subsidiaries of foreign SaaS vendors, domestic SaaS leaders like SmartHR, freee, and Money Forward, and inside sales vendors like Bellface and Babel. This article compares the four products on features, accuracy, and Japanese-language capability using real data.

Gong Anywhere: A New Frontier in Real-Time Intervention

Gong has been the leader in call intelligence since the late 2010s, but "Gong Anywhere," released in Q3 2025, was the decisive evolution. Previously, post-call recording analysis was the core function. Anywhere integrates natively with Zoom, Google Meet, and Microsoft Teams, surfacing real-time suggestions in a side panel during active calls.

The technical core is a "conversation graph" that instantly tags customer speech into six categories — Intent, Objection, Budget, Authority, Need, and Timeline — and suggests the next optimal response to the sales rep. Objection detection breaks down into four subcategories — price, competition, timing, and decision-making process — and recommends response scripts each company has registered in the system.

Deal risk scoring operates across three dimensions — Engagement Score, Pipeline Health, and Call Sentiment — and retrains daily using the past two years of the company's closed deals as training data. In Q1 2026 published figures, risk evaluation accuracy (the rate at which deals that actually lost were predicted as "High Risk" in advance) stands at 78%, substantially above the 62% achieved by experienced sales managers relying on manual judgment.

Japanese-language support reached official GA in December 2025, with speech analysis accuracy now nearly on par with English. However, "honorific-level judgment" in inside sales — detecting misuse of humble versus respectful speech forms — remains a common weakness across US-origin products, giving domestic Japanese SaaS a relative advantage in this area.

Clari Copilot: Pipeline-Centric Philosophy

Clari positions itself as a "Revenue Platform." Where Gong centers on the call, Clari centers on the pipeline. Clari Copilot — the rebranded version of former Wingman in 2025 — offers call analysis that rivals Gong, but its true core is forecasting accuracy through bidirectional sync with Salesforce and HubSpot.

Deal risk scoring, called "Deal Score," feeds approximately 200 signals into the model: days stalled in stage, number of stakeholders engaged (multi-threading), email reply frequency, call count, and whether budget has been discussed. A standout feature is Competitor Mention Detection — it extracts the frequency of competitor name mentions in calls and emails and incorporates that as a predictor of loss risk.

A new Q1 2026 feature, "Groove integration," enables multi-channel outbound sequences — email, LinkedIn, phone — to be launched directly from Clari. This completes the loop: "pipeline forecast → risk detection → action execution" within a single platform.

Japanese-language support is slightly weaker than Gong's. Transcription accuracy is comparable, but the Deal Score model is optimized for US-style sales processes, and adaptation to uniquely Japanese business customs — ringi (multi-level internal approval), three-party meetings — remains immature.

HubSpot Breeze: The Mid-Market Play

HubSpot Breeze was announced at the end of 2024 as HubSpot's AI brand, rebuilt as an AI layer spanning all modules: Marketing Hub, Sales Hub, Service Hub, Content Hub, and Operations Hub. Strategically, it is HubSpot's answer to Salesforce Einstein.

The standout in Q1 2026 is "Breeze Intelligence," which natively ingests data from outside the HubSpot ecosystem — LinkedIn, corporate databases, news, SEC filings — and auto-enriches existing CRM records. This allows companies to consolidate data costs previously spread across ZoomInfo and Apollo into Breeze alone.

For outbound sequence personalization, "Breeze Agent" automatically drafts company-specific emails. Unlike legacy approaches that simply insert firmographic variables into a template, it generates the "why now" rationale for each company based on recent press releases, earnings announcements, and hiring trends.

Where Gong and Clari are high-cost enterprise products (around $1,500–$3,000 per seat per year), HubSpot Breeze is bundled with the CRM at roughly $600–$1,200 per seat per year — dramatically cheaper. Adoption among mid-market Japanese B2B SaaS companies is growing rapidly. Japanese-language support was revamped in Q4 2025, reaching a sufficient level of customization for Japanese subsidiaries.

Glossary AI: Built Specifically for Sales Engineering

Glossary AI is a startup founded in 2024 that positions itself as a copilot exclusively for Sales Engineers (SEs, presales). Unlike general sales AI, it is designed around responding to technical specifications, APIs, and security questionnaires (RFI/RFP).

The flagship feature is "RFP Autofill," which generates response drafts for 300–800-question technical questionnaires from customers by searching across a historical answer database, product documentation, SOC 2 reports, and penetration test results. Published case studies show that responses that previously took one SE three days to write are now completed in an average of two hours.

It is also strong in demo preparation support — it recommends which features to emphasize based on the customer's industry, use case, and past questions. Glossary AI is complementary rather than competitive with Gong and Clari, and in enterprise SaaS SE organizations, "Gong + Glossary" is becoming the standard combination in 2026.

Japanese-Language Capability Across All Four Products

Evaluating all four products against Japanese real-world data, transcription accuracy was at a level adequate for business use across the board (WER 5–8%). The differentiator is "naturalness of summaries" and "practical relevance of suggestions" — Gong Anywhere and HubSpot Breeze lead slightly here, while Clari and Glossary still tend to produce outputs pulled toward English-language patterns.

None of the products fully handles appropriate use of formal and humble speech registers in Japanese, and in outbound email generation in particular, expressions ill-suited to Japanese business norms appear consistently. Domestic Japanese SaaS products (Sales Marker, Magic Moment, etc.) retain a relative advantage in this area.

Implementation Roadmap for RevOps Organizations

For Japanese B2B SaaS in 2026, the practical implementation sequence is: first establish CRM infrastructure (Salesforce or HubSpot), then add call analysis (Gong or Clari), then improve forecasting accuracy (Clari or Breeze), and finally add Glossary for SE organizations. Deploying everything at once exceeds an organization's absorption capacity and produces the classic zero-ROI failure pattern.

In KGA engagement work, a phased approach — one product every six months, with quantitative ROI assessment at each stage — achieves the highest adoption rates. For a mid-sized company with a sales organization of 30–100 people, an annual budget in the range of ¥15M–¥50M is a realistic estimate.

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