INDEX
/
AI_RESEARCH
/
KOMO
v2026.9
PROVED: 0xpricing checked 2026-09-15
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archive:data/tools
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LATENCY: Performance 82/100
Focus modes
Credit system
FREEMIUM PRICING
Verified Audit
Komo
/ CASUAL AI SEARCH USERS
business
Komo
•
verified
Verified Research Audit
Ad-free AI search with focus modes and daily free credits
Composite Index Rating
CLASS: B-TIER
81.3/100
Rank #29 in Research & Retrieval
trending_up
Snapshot 2026-09-15
30d Velocity
Benchmark Confidence:
v2-5dim rubric
Recorded features:
4 recorded features
Primary Engine:
Deep research
Citation Precision
link
80.0%
Answer grounding against retrieved sources (5-dim quality).
check_circle
80.0% rubric quality
Research Automation
hub
76/100
Depth of autonomous multi-source investigation capabilities.
Avg Depth: 4 recorded features
Runtime Performance
speed
82/100
Runtime performance & latency dimension (v2-5dim rubric).
bolt
Rubric v2-5dim
Onboarding Usability
format_image_left
86.0%
Workflow ergonomics from the v2-5dim rubric.
verified
Usability dimension
Recorded Score Vectors
Archive snapshots refreshed on each data update cycle.
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Output Quality & Reliability
80.0%
correctness and consistency of primary task output.
v2-5dim
shuffle
Feature Depth & Integrations
76.0%
breadth of integrations, APIs, and advanced capabilities.
v2-5dim
fact_check
Onboarding & Usability
86.0%
onboarding friction, UI clarity, and workflow ergonomics.
v2-5dim
attachment
Runtime Performance & Latency
82.0%
latency, throughput, and stability under load.
v2-5dim
psychology
Price-to-Value Efficiency
84.0%
capability delivered per pricing tier dollar.
v2-5dim
30-Day Evaluation Quality & Consistency Index
Precision
Baseline
Day -30 (baseline audit)
Day -15 (audit refresh)
Today (81.3 Composite)
Engine Architecture
Technical primitives powering the Komo pipeline.
01
Focus modes
Search, chat, deep-research and people-search modes.
Source: Komo · 2026-09-15
02
Credit system
Daily credits meter model usage.
Source: Komo · 2026-09-15
03
Deep research
Multi-step research runs on paid.
Source: Komo · 2026-09-15
04
History
Search history retention.
Source: Komo · 2026-09-15
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Head-to-Head Comparison
Direct Peer Evaluation Matrix
Updated: Per-audit refresh
| Engine / Platform | AiRecMark Score | Retrieval Paradigm | Deep Research Mode | Model Agility | Hallucination Delta | Pricing / Seat |
|---|---|---|---|---|---|---|
|
K
Komo
Target
|
● 81.3 | Ad-free AI search with focus modes and daily | check_circle Agentic research mode | Komo | -—% vs raw LLM | Free forever (daily credits) |
|
C
Claude
|
96.1 | Adaptive Reasoning Engine | check_circle Guided research mode | Managed models | -—% vs raw LLM | — |
|
P
Perplexity
|
93.6 | Multi-Turn Source Grounding | remove Guided research mode | Managed models | -—% vs raw LLM | $20/mo Pro |
|
C
ChatGPT
|
90.9 | General Reasoning | check_circle Guided research mode | Managed models | -—% vs raw LLM | $20/mo |
|
G
Gemini
|
88.5 | Users embedded in Google's ecosystem who wan | remove Guided research mode | Managed models | -—% vs raw LLM | $19.99/mo |
Metrics aggregated from published archive fields.
Five-dimension rubric v2 (25/20/15/20/20 weighting).
Financial & Token Econometrics
Subscription & API Tiers
Verified plan specifications and monthly throughput allowances.
Standard Consumer
Free
$0
forever
- check Focus modes
- check Credit system
- check Deep research
- close Paid-tier prices not verifiable from official pages
- close Credit metering adds friction
Best Value for Technical Teams
Engineering Tier
Pro
Custom
/ mo
- check Focus modes
- check Credit system
- check Deep research
Sovereign Deployment
Enterprise
Custom
SLA terms
- check SSO / SAML & audit controls
- check Dedicated support channel
- check Custom quota & SLA
- close Paid-tier prices not verifiable from official pages
- close Credit metering adds friction
verified_user
AiRecMark Lead Analyst Assessment
"Komo stands out for daily free credits with sign-in. Ad-free AI search with focus modes and daily free credits anchors its proposition, and AiRecMark's five-dimension audit lands it at 81.3/100 — a pragmatic default for casual AI Search Users."
EVALUATION SIGN-OFF:
SIGNER: AiRecMark Editorial · 2026-09-15 (AIRECMARK-DAO)
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Empirical Advantages
warning
Documented Technical Trade-offs
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Pricing Source Verification
sha256: 2026-09-15