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Foundational public methodology for the first open public ranking of brand visibility in AI search results (ChatGPT, Perplexity, Gemini, Claude). This release establishes the framework — no rankings have been computed or published yet. First scan cycle: late May 2026 (private validation). First public ranking publication target: August 2026, after 3 validation cycles. Includes: - methodology.json: machine-readable formulas, weights, policies - README.md: human-readable overview + open/closed boundary - CHANGELOG.md: versioning policy + v1.0.0 release notes - taxonomy.md: tier system + 11 PL pilot categories - LICENSE: MIT - .gitignore: closed operational data (exact prompts, anti-gaming thresholds) - prompts/README.md: 6-stage prompt curation process - prompts/example-swiece-sojowe-pl.md: illustrative framework for first category Strategic principles: - Algorithm-first, no advisory board - Open methodology + closed exact prompts (Goodhart's Law defense) - No retroactive changes (FIDE 2024 lesson) - No pay-to-play, hard rule (Moody's / Forbes 30 Under 30 lessons) - Subjective opinion disclaimer (Gartner v. NetScout 2020 First Amendment shield) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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1.8 KiB
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40 lines
1.8 KiB
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MIT License
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Copyright (c) 2026 LMW Commerce / Jacek Kubas
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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---
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Note on Citee Index data:
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While this methodology is MIT-licensed and freely usable, the Citee Index
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itself (the published rankings, raw query logs, and brand-level scores) is
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provided under a separate data license described at
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https://citee.ai/data-license. The methodology being open does not imply
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that derived datasets from Citee scans are public domain.
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Disclaimer regarding scoring:
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Citee Index scores represent expressions of opinion based on observed AI
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model outputs at specific points in time. They are not factual claims about
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the relative quality, popularity, or merit of any brand. The methodology is
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a framework for converting observed AI outputs into a comparable index;
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reasonable people could construct alternative methodologies that produce
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different rankings.
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