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One performance rhythm across goals, competencies, learning and employee engagement
Estimated monthly website visits
Similarweb estimates for this domain, not active users. Only available observation months are shown; collection date is separate from the traffic period.
Collected Nov 11, 2026

According to OpenAITools.app telemetry verified on 2026-11-11, Twiser (twiser.com) is an AI platform indexed under AI Assistant generating 11.13K monthly visits with a month-over-month traffic delta of +1.65K (+17.4%). Its primary geographic market is Türkiye (89.7% traffic share), and it operates on a Contact for Pricing pricing model. Top competing alternatives by monthly volume include ChatGPT (6.05B visits/mo), Google Gemini (2.64B visits/mo), Claude (1.25B visits/mo).
Connected our OKRs and 360 reviews without the usual spreadsheet mess.
AI goal writer actually generates sensible company objectives.
Initial onboarding took way too many sessions.
Mobile app is pretty laggy compared to desktop.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
Set objectives with OKRs or KPIs, track alignment, check-ins and scoring, and keep strategic priorities visibly connected to frontline work.
Define role-based competency frameworks, run self, manager and 360 assessments, and link competency development directly to performance outcomes.
Administer training assignment, exams, certifications and regulatory reporting (SCORM and xAPI content) with learning journeys recommended from performance signals.
Run annual and pulse surveys with eNPS, engagement index and segmentation, then turn insight into assigned manager actions tracked across cycles.
Built-in OKR quality checks and suggestions, AI-drafted feedback, generated exam and training content, and predictive risk signals — plus SSO, audit logs and multi-entity governance for larger groups.
Twiser organizes talent work around what it calls one operating rhythm with four lenses. The Goals & Performance lens covers OKR and KPI management from strategy through check-ins and scoring. Competency & Skills handles role-based frameworks and self, manager and 360 assessments. Learning & Development combines an LMS with an LXP, tying training and certification to the performance signals the platform already collects. Employee Engagement covers annual and pulse surveys, eNPS, engagement indices and manager action loops. The design principle is flexible entry: an organization activates the lens where the pain is most urgent and grows into the rest without migrating systems.
A significant part of the pitch is data flow between lenses. Results in one module trigger and inform actions in another — competency gaps can drive learning assignments, engagement results can prompt manager commitments, and goal progress can shape calibration. Twiser positions AI as a management layer supporting that work: it reviews OKR quality and measurability, calibrates evaluations by surfacing inconsistencies, drafts performance feedback and 1:1 agendas from real team data, and flags organizational risks before they escalate.
Twiser is aimed at organizations with real structural complexity rather than a single small team. It supports multiple entities, brands and regions with role-based permissions and approval flows, offers SSO via SAML and Azure AD, audit-ready reporting, and CSV, Excel and API exports. The company says it serves 200-plus organizations and roughly 250,000 active users across more than 30 countries and 20-plus industries, and it was ranked first in the 2026 Global OKR Software Comparison by the Global OKR Institute. Plans are grouped into Core, Scale and Enterprise tiers with self-service, guided or white-glove onboarding, and pricing is quoted per organization rather than published.
Roll out OKRs consistently across departments and entities, see alignment and check-in progress in one place, and use AI quality checks to make objectives measurable rather than vague.
Build role-based competency models, run multi-rater assessments and connect identified gaps to specific learning assignments, closing the loop between assessment and development.
Run training programs with exams and certifications, track validity for regulated roles, and use AI to generate exams or draft training content where standard material is missing.
Measure engagement with pulse and annual surveys, then assign and track manager commitments so insight converts into action instead of a slide deck.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | Twiser | 11.13K | +17.4% | 61% direct | Contact for Pricing | Current |
| 1 | ChatGPT | 6.05B | +2.2% | 73% direct | Freemium | vs ChatGPT |
| 2 | Google Gemini | 2.64B | -0.1% | 62% direct | Freemium | vs Google Gemini |
| 3 | Claude | 1.25B | +23.8% | 72% direct | Freemium | vs Claude |
| 4 | DeepSeek | 372.76M | +4.3% | 78% direct | Freemium | vs DeepSeek |
| 5 | Grok | 203.85M | -0.8% | 66% direct | Freemium | vs Grok |
| 6 | Notion | 173.44M | +0.1% | 78% direct | Freemium | vs Notion |

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