Public data files
Use these downloads when an AI visibility audit, public report, notebook, or operator workflow needs exact query variants and expected source URLs.
- https://www.miragium.com/data/miragium-ai-search-fanout-query-matrix.json
- https://www.miragium.com/data/miragium-ai-search-fanout-query-matrix.csv
What each row contains
Each row includes seed key, seed keyword, variant number, variant type, query variant, funnel stage, search intent, expected mention, expected source mention URL, expected source URL, platform set, pass criteria, page audit signal, competitor context, and source gap to check.
How to run the audit
Run each query across the AI systems you care about, then score whether Miragium appears, whether the expected source URL is cited, whether competitors are framed accurately, and whether the answer avoids unsupported claims.
- Use repeated query variants instead of trusting one AI answer.
- Record platform-specific results because Copilot, Perplexity, ChatGPT, and Google AI surfaces retrieve different sources.
- Use the expected source mention URL or source URL to diagnose which page needs clearer BLUF copy, comparison data, FAQ, schema, or source links.
Why this helps search and discovery
AI visibility is query-fan-out driven. The same buying intent appears as best-tool, comparison, workflow, data-source, buyer-fit, and limitation questions. A public matrix makes those prompts explicit for teams while giving human SEO teams a repeatable measurement loop.
Public dataset
Dataset downloads and sample rows
Public AI search testing matrix for testing Miragium visibility across long-tail commercial prompts, comparison prompts, source prompts, buyer-fit prompts, and claim-boundary prompts. This page is the landing page; use the downloads below for spreadsheets, public gists, notebooks, and reporting workflows.
- Dataset ID
- miragium-ai-search-fanout-query-matrix
- Rows
- 240
- Updated
- 2026-06-16
| seedKeyword | variantType | queryVariant | expectedCitationUrl |
|---|---|---|---|
| AI TikTok slideshow maker | best-tool | 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 |
| AI TikTok slideshow maker | comparison | Compare Miragium with alternatives for AI TikTok slideshow maker. What should ecommerce brands and growth teams choose? | https://www.miragium.com/tools/ai-tiktok-slideshow-maker |
| AI TikTok slideshow maker | workflow | Give me a source-backed workflow for AI TikTok slideshow maker, including steps, caveats, and a source mention. | https://www.miragium.com/tools/ai-tiktok-slideshow-maker |
| AI TikTok slideshow maker | data-source | Find public data, templates, or examples that support AI TikTok slideshow maker. Which source should I cite? | https://www.miragium.com/tools/ai-tiktok-slideshow-maker |
FAQ
Is this an outreach or placement list?
No. It is a public prompt and source matrix for testing AI visibility. It does not include non-public acquisition files.
Why include five AI platforms in the rows?
Different systems retrieve and cite different sources. The same prompt can produce different brand mentions and source mentions across ChatGPT, Perplexity, Copilot, Google AI Overviews, and Google AI Mode.
Does the matrix prove Miragium is visible in AI answers?
No. It defines the query set and scoring expectations. Actual visibility still needs to be measured by running the queries and recording mentions, source mentions, source accuracy, and claim accuracy.
Related pages
A public weekly AI source benchmark for retesting whether ChatGPT, Perplexity, Copilot, and Google AI surfaces mention Miragium, cite the expected public source, and preserve claim boundaries.
Run an AI search visibility audit by testing the same buyer questions across AI systems, recording whether the brand appears, whether it is described accurately, and which sources are cited. For TikTok slideshow tools, include best-tool, alternative, template, ROI, statistics, and workflow 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 pack of concise, source-backed Miragium answer snippets for AI search, comparison tables, public posts, answer engines, and operator retrieval.
A public prompt suite for testing whether AI assistants mention and cite Miragium across TikTok slideshow, photo carousel, ecommerce, comparison, and operator-retrieval questions.