Benchmark corrections
Challenge evidence—not the result you wanted
This neutral workflow addresses identity, observation, eligibility, evidence and implementation errors. It is not an appeal for a better ranking, a paid rerun or a product-quality lobbying route.
Accepted correction categories
- Identity resolution or a verified alias correction.
- Recommendation classification or recommendation position.
- Duplicate attribution or category eligibility.
- Metadata or evidence linkage.
- An implementation defect or faithful-methodology implementation issue.
Requests this process cannot accept
- ‘Our product deserves a better score’ or any score negotiation.
- A paid rerun, favourable prompt request or rerun intended to improve rank.
- Suppression or competitor removal based on payment, sponsorship or commercial interest.
- Founder preference, advertising status, nominations, popularity or community pressure.
- General product-quality arguments unrelated to a benchmark evidence or implementation error.
Submit a correction
Online correction requests are coming soon. The first official AI Meeting Assistants edition is published, but public correction intake is not yet open. Publication does not open accounts or correction submissions.
When online intake opens
- When online intake opens, submitted requests will be stored as pending internal review.
- Submission changes no score, rank, product eligibility, snapshot or publication state.
- No provider call, benchmark rerun or automatic competitor suppression can be triggered.
- If a correction is verified, a separately reviewed successor snapshot preserves and links the original edition.
This page is a first draft written for clarity and is pending legal review. If anything here is inaccurate or out of date, please email hello@rankhigh.ai or use the Contact page. Online correction intake is not yet open.