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Published method

Public Data Integration cited-page visibility

Ranks privacy-safe canonical citation pages in the complete public prompt benchmark without additional provider calls.

1-parent-b4a6a950f640995f

Version

Aug 14, 2026

Published

1

Board

data-integration-platforms-page-visibility

Method ID

Sources

Where the facts come from

Provider Count

3

Provider Matrix Version

64232fd32583

Ranking rule

How the order is produced

unique cited-answer coverage descending; engine breadth descending; prompt breadth descending; median answer-level page position ascending; mean page position ascending; canonical URL ascending

Refresh

When the method reruns

  • The prompt boards are re-run in rotation, about one category a day, so each board refreshes every few weeks and shows the date of its snapshot.

Boards

Boards using this version

Every published board built with this method. Each opens on its latest snapshot.
BoardPrimary measureRowsConfidenceSnapshotBoard versionRefreshBoard
Most-cited pages in Data Integration answerspublic-prompt-page-answer-coverage161100%Sep 22, 20261-parent-b4a6a950f640995fRotating scheduleOpen the board: Most-cited pages in Data Integration answers

Versioned contract

Complete measurement ledger

These fields are stored with the methodology version. A changed contract must publish a new version before comparable movement can resume.

Scope

data-integration-platforms

Cohort

Not specified.

Semantics

This measures structured-citation sourcing visibility. A citation is not a recommendation, endorsement, authority score, quality judgment, correctness judgment, or consumer-app share.

Limitations

  • The board covers one fixed Data Integration prompt category, not every topic or AI answer surface.
  • Query-specific resources collapse to their query-free page path to maintain the public privacy boundary.
  • Citation position is adapter-normalized structured-citation ordering, not prose sentiment.

Prompt Count

16

Rank Formula

unique cited-answer coverage descending; engine breadth descending; prompt breadth descending; median answer-level page position ascending; mean page position ascending; canonical URL ascending

Corpus Version

data-integration-platforms-2026-07-27

Privacy Policy

Query Strings Published

No

Full Provider Answers Published

No

Provider Citation Titles Published

No

Full Provider Answers Stored In Public Index

No

Provider Count

3

Evidence Policy

Source Evidence

canonical page URL, URL-derived hostname, position, provider artifact hashes, and aggregate artifact hash

Provider Calls For This Board

0

Benchmark Version

4-data-integration-platforms-2026-07-27-models-64232fd32583

Canonicalization

  • Start only from upstream-validated absolute HTTP(S) citations.
  • Derive the hostname from the URL; ignore provider domain labels.
  • Remove fragments and normalize default HTTP(S) ports upstream.
  • Remove the complete query string at the public page boundary.
  • Deduplicate each resulting page within one prompt/provider answer and keep its best positive 1-based position.

Metric Denominators

Mean Position

position sum divided by exact answer-page occurrence count

Engine Breadth

3 providers

Prompt Breadth

16 prompts

Answer Coverage

48 successful prompt/provider answers

Median Position

middle answer-page position after sorting; even samples use the two central positions' midpoint

Provider Matrix Version

64232fd32583

Page Methodology Version

1-parent-b4a6a950f640995f

Required Successful Answers

48

See how often AI names you.

Enter your website. In about two minutes, Rank.ai asks ChatGPT, Claude and Gemini 12 questions your customers ask and grades how often they name you.

  • Your grade out of 100How often AI names you, cites your site, and how high it ranks you.
  • Who gets namedEvery competitor in the answers, most named first.
  • The pages AI readsThe sources behind each answer.
  • Three fixesWhat to fix first, with a brief for the first article.