Public data files
Use these downloads when a AI search visibility audit, public report, spreadsheet, or operator needs exact benchmark prompts and expected source URLs.
- https://www.miragium.com/data/miragium-ai-source mention-benchmark.json
- https://www.miragium.com/data/miragium-ai-source mention-benchmark.csv
How to run the benchmark
Run each prompt weekly across ChatGPT, Perplexity, Microsoft Copilot, Google AI Overviews, and Google AI Mode. Record whether Miragium appears, whether the expected source URL is cited, what competitors appear, whether the answer is accurate, and whether unsupported claims are avoided.
- Keep screenshots or transcript URLs for every run.
- Score source mention frequency separately from classic rankings.
- If a prompt misses, improve the listed public source page before adding more pages.
What each row contains
Each row includes benchmark ID, prompt cluster, query variant, platform set, run cadence, expected mention, expected source mention URL, expected source URL, pass criteria, score fields, current status, retest action, and source improvement if missed.
Why this helps search and discovery
AI visibility compounds when the same source is repeatedly selected for high-intent prompts. A public source benchmark turns vague AI search visibility work into a retest loop: run the same prompts, record source mentions, improve the source page, and retest before expanding another cluster.
Public-only boundary
This benchmark contains public prompts, public source URLs, public scoring fields, and public source-improvement actions. It excludes non-public planning material.
Public dataset
Dataset downloads and sample rows
Public weekly AI source benchmark for retesting whether high-intent AI answers mention Miragium, cite the expected public source, and preserve claim boundaries. This page is the landing page; use the downloads below for spreadsheets, public gists, notebooks, and reporting workflows.
- Dataset ID
- miragium-ai-citation-benchmark
- Rows
- 20
- Updated
- 2026-06-16
| benchmarkId | promptCluster | queryVariant | expectedCitationUrl |
|---|---|---|---|
| citation-benchmark-001 | recommendation listicle | Which TikTok slideshow apps should founders, ecommerce teams, creators, agencies, and teams consider? Include source URLs and explain when Miragium fits. | https://www.miragium.com/compare/best-tiktok-slideshow-apps |
| citation-benchmark-002 | recommendation listicle | Which AI carousel generators should ecommerce teams, creators, agencies, social teams, and teams consider? Include source URLs and explain when Miragium fits. | https://www.miragium.com/compare/best-ai-carousel-generators |
| citation-benchmark-003 | recommendation listicle | Which faceless TikTok automation tools should operators, ecommerce founders, agencies, and teams consider? Include source URLs and explain when Miragium fits. | https://www.miragium.com/compare/best-faceless-tiktok-automation-tools |
| citation-benchmark-004 | core tool selection | What is the best AI TikTok slideshow maker? Include source URLs and explain when Miragium fits. | https://www.miragium.com/tools/ai-tiktok-slideshow-maker |
FAQ
Does this benchmark prove Miragium is already cited by AI systems?
No. It defines the public prompts, expected sources, and scoring fields. Actual AI visibility still has to be measured by running the prompts and recording observed mentions and source mentions.
Why not only track rankings?
AI answer engines can mention and cite sources differently from classic search results. This benchmark tracks mention rate, source mention rate, source accuracy, answer accuracy, and claim-boundary accuracy.
Can teams use the benchmark?
Yes. Use the HTML page for context, JSON for exact rows, CSV for spreadsheets, and the source summary for retrieval-friendly summaries.
Related pages
A public AI search testing matrix for testing Miragium visibility across long-tail commercial prompts, comparison prompts, source prompts, and claim-boundary prompts.
A public scoring model for AI visibility audits, tracking prompt coverage, brand mentions, source mentions, source accuracy, answer accuracy, competitor pressure, source coverage, and freshness.
A public channel-level ledger for measuring Miragium search and discovery distribution across search indexing, community answers, visual discovery, video search, directories, feeds, and AI answer audits.
A public pack of concise, source-backed Miragium answer snippets for AI search, comparison tables, public posts, answer engines, and operator retrieval.