A/B Smartly vs Kagi
Compare research AI Tools
A/B Smartly
Enterprise experimentation platform with a sequential testing engine event based pricing and flexible deployment so product teams run faster trustworthy A B tests share insights broadly and keep governance strong across web mobile and backend.
Kagi
Kagi is a paid private search engine with no ads that offers fast results customization and an integrated assistant with multiple models plus lenses and privacy technologies like Privacy Pass.
Feature Tags Comparison
Only in A/B Smartly
Shared
Only in Kagi
Key Features
A/B Smartly
- • Sequential testing engine: stop earlier without inflating error rates so winners ship faster and inconclusive tests end decisively saving time and traffic
- • Warehouse native workflows: route events to your lake or house so analysts reuse metrics segments and joins with lineage and reproducibility across teams
- • SDKs across stacks: integrate once into web mobile and backend so feature flags exposures and metrics remain consistent across platforms and services
- • Source control friendly: treat experiments as code with reviewable configs CI checks and templates that prevent errors before traffic hits production
- • Collaboration and notes: attach hypotheses screenshots and decisions to each test so outcomes are searchable and shareable in postmortems and planning
- • Event based pricing: avoid per seat or per test limits grow programs with predictable unit economics and fewer internal license battles
Kagi
- • Ad free results with ranking you control via lenses site boosts and filters for faster trustworthy research
- • Assistant with many models selectable per thread for mixed tasks and budget control
- • Privacy Pass and onion access for anonymous requests where supported
- • Starter plan with 300 searches for light users and unlimited on Professional
- • Family and Team plans with central billing and allowances
- • No billing for months with zero use through fair pricing credits
Use Cases
A/B Smartly
- → Feature rollout gates: validate impact behind flags then graduate safely once primary metrics clear with acceptable side effects across segments
- → Checkout funnel fixes: trial copy layout and sequencing while monitoring revenue and refunds to avoid profitable but risky changes
- → Search relevance tuning: compare ranking tweaks with guardrails for speed stability and engagement beyond a single click proxy
- → Performance tradeoffs: measure latency shifts alongside conversion so teams understand when speed investments or regressions are acceptable
- → Paywall and pricing tests: explore presentation and eligibility while keeping fairness guardrails and refund tracking visible to finance
- → Notification systems: iterate cadence and targeting while measuring retention spam complaints and app store optics over weeks
Kagi
- → Academic research where forum or paper lenses speed discovery without sifting ads
- → Competitive analysis where site boosts prioritize trusted sources and docs
- → Daily browsing for professionals who want privacy speed and clean SERPs
- → Developers who need fast documentation searches across ecosystems
- → Writers who gather sources without ad clutter and trackable links
- → Students who need predictable costs and a distraction free engine
Perfect For
A/B Smartly
growth leaders, data scientists, product managers, experimentation engineers, analysts and SRE partners at companies with strong telemetry security and compliance expectations
Kagi
researchers developers writers analysts privacy conscious users and teams who want fast ad free search strong source control and an integrated assistant
Capabilities
A/B Smartly
Kagi
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