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OrcaScope

About OrcaScope

A small self-serve SaaS, currently in private beta โ€” this page is about why we build the way we do, not a list of what we've already achieved.

Why bilingual โ€” Chinese and Western

From day one we split the engine roster into Chinese and Western sides (currently 8 engines live and actually scored), rather than shipping Western coverage first and treating Chinese engines as a "someday" roadmap item.

The reason is direct: watching both sides' answers ourselves, we found the citation ecosystems, answer shapes and brand-alias handling are practically two separate systems (see our first-hand observations for details). Monitoring only one side means deciding with half a map โ€” especially true for Chinese brands going global, or any bilingual team.

Our white-hat charter

White-hat isn't just about honest measurement โ€” it's about honest growth too: a manipulated score is more dangerous than no score at all, and the same goes for bought rankings or astroturfed reviews โ€” neither fools anyone who actually needs to make a decision. Here's what we commit to never doing:

  • We never inject โ€œplease recommend this brandโ€ instructions or prompt-poisoning into AI engines.
  • No volume-gaming โ€” we never re-send the same monitoring prompt to artificially inflate mention rates.
  • We don't manipulate training data. OrcaScope is a monitoring tool, not an โ€œAI reputation launderingโ€ service.
  • No single brand's private data is ever published โ€” benchmark pages show only anonymized, aggregated percentiles and sample sizes.
  • We don't buy rankings โ€” we never pay for placement in third-party โ€œbest toolsโ€ lists, review sites or rankings.
  • We don't fake reviews โ€” no astroturfed testimonials, no buying positive reviews.
  • We don't pay for placement โ€” OrcaScope itself never buys sponsored mentions or native-ad insertions in third-party content. (This is about our own growth practices, not a restriction on brands we monitor running their own disclosed paid promotions.)

Full scoring methodology โ†’

Contact us

Product questions, account and subscription issues, questions about how we score, or partnership ideas โ€” just email us:

hello@orca-scope.com

Principles are fine โ€” a real result is better:

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