Kalicube Pro
The only platform tracking brands across the entire Algorithmic Trinity
Knowledge Graphs tell AI who you are. Large Language Models decide whether to trust you. Search Engines determine if you get recommended. Kalicube Pro is the first platform built to optimize all three simultaneously.
Dataset Growth
| Date | Total Data Points | HTML Data | Milestone |
|---|---|---|---|
| Jul 2023 | 3.1 Billion | — | Brand SERP + KG data foundation |
| Jan 2024 | 3.5 Billion | — | Expanded entity coverage |
| Jul 2024 | 4.2 Billion | — | AI citation tracking begins |
| Jan 2025 | 6.5 Billion | 0.3B | HTML content analysis added |
| Jul 2025 | 9.4 Billion | 1.5B | Deep content extraction |
| Oct 2025 | 15 Billion | 5.5B | 1,500 datapoints per page |
| Jan 2026 | 25 Billion | 10B | Current • 700%+ growth in 2.5 years |
The Kalicube Process™
The Kalicube Process is the systematic methodology for optimizing brand presence across the Algorithmic Trinity. It measures three dimensions that map directly to the customer journey:
| Technical | Business | Funnel Stage | AI Question | Goal |
|---|---|---|---|---|
|
U
|
Friend | BOFU • Decision | Does AI know WHO you are? | Entity recognition, accurate representation |
|
C
|
Recommender | MOFU • Consideration | Does AI TRUST you? | Third-party validation, authority signals |
|
D
|
Advocate | TOFU • Discovery | Does AI RECOMMEND you? | Spontaneous advocacy, proactive suggestions |
Foundation first. You can't be recommended (D) if AI doesn't trust you (C). AI can't trust you if it doesn't know who you are (U).
Top-down. Prospects discover you (TOFU), evaluate you (MOFU), then search your name to decide (BOFU).
Claim, Frame, Prove
The content methodology that teaches algorithms at every funnel stageKalicube Pro treats AI optimization as education rather than manipulation. The CFP protocol structures content differently for each stage of the funnel:
Pattern: Claim → Prove
Purpose: Establish WHO you are so AI states facts, not hedges
Pattern: Claim → Frame → Prove (all required)
Purpose: Win "best X" and comparison queries
Pattern: Claim → Frame → Prove + Introduction Tools
Purpose: Enable AI to recommend you unprompted
Aggressive proof beats aggressive framing. AI systems hedge claims that lack evidence chains but state well-supported conclusions as fact. The pattern: Evidence → Evidence → Evidence → THEREFORE [Bold Conclusion]
Independent Validation
What Kalicube Pro Delivers
See what the Algorithmic Trinity believes about your brand
25 billion data points. 71 million brands. The only platform tracking Knowledge Graphs, LLMs, and Search together.
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