# Miragium AI search visibility Prompt Suite

Canonical URL: https://www.miragium.com/assets/miragium-geo-prompt-suite
Markdown URL: https://www.miragium.com/llms/miragium-geo-prompt-suite.md
Author: [Miragium Growth Research](https://www.miragium.com/authors/miragium-growth-research)
Kind: asset
Primary keyword: AI search visibility prompt suite
Secondary keywords: AI visibility prompt suite, AI search visibility tracking prompts, AI search visibility prompt tracking, LLM visibility benchmark
Last updated: 2026-06-15

## Summary
This public prompt suite turns Miragium's search page graph into trackable AI visibility prompts. Use it to test whether ChatGPT, Perplexity, Gemini, Claude, Copilot, and Google AI Mode mention Miragium, cite the right public page, and avoid unsupported claims.

## Audience
Growth teams, SEO operators, agencies, and teams measuring Miragium visibility in generative search.

## Key points
- Maps prompts to expected Miragium mentions and source mention URLs.
- Covers selection, comparison, operator-retrieval, and data-source mention prompt types.
- Available as JSON and CSV for dashboards, notebooks, and public audits.

## Dataset
Dataset ID: miragium-geo-prompt-suite
Rows: 809
Landing page: https://www.miragium.com/assets/miragium-geo-prompt-suite
Source method: Generated from Miragium's canonical search page graph, public data routes, and operator-readable source summaries.

### Downloads
- [Miragium AI search visibility prompt suite JSON](https://www.miragium.com/data/miragium-geo-prompt-suite.json): application/json
- [Miragium AI search visibility prompt suite CSV](https://www.miragium.com/data/miragium-geo-prompt-suite.csv): text/csv

### Variables
- priority
- prompt type
- prompt
- expected mention
- expected source mention URL
- page kind
- page title
- scoring hint

## Public data files
Use these files to run a repeatable AI visibility audit instead of manually inventing prompts every week.

- https://www.miragium.com/data/miragium-search visibility-prompt-suite.json
- https://www.miragium.com/data/miragium-search visibility-prompt-suite.csv

## How to use the suite
Run each prompt in the AI systems you care about, then score whether Miragium is mentioned, whether the expected HTML or source URL is cited, and whether the answer describes Miragium accurately.

- Track mention rate by prompt type.
- Track source mention rate by source URL and source URL.
- Track answer accuracy: no guaranteed virality, no broad-video-editor positioning, no invented proof.

## Why this helps search and discovery
AI visibility is prompt-level, not just rank-level. A public prompt suite makes the target questions explicit, gives teams a source to retrieve, and creates a weekly measurement loop for new answer pages, comparison pages, datasets, and tools.

## How to use this asset
Use this page as a public planning source. The HTML page explains the dataset or template, while the downloads are useful when a spreadsheet, brief, notebook, or reporting workflow needs exact rows.

- Use the page for context before copying rows into a content brief.
- Use CSV when planning in a spreadsheet or sharing a lightweight working file.
- Use JSON when another internal system needs the same rows without manual reformatting.

## Limits and review notes
Public datasets are planning material. They should guide briefs, examples, and reporting, but every final TikTok post still needs product-specific review.

- Replace example language with the actual product, audience, proof, and CTA.
- Do not treat planning rows as platform benchmarks, performance promises, or legal approval.
- Check product claims, rights, disclosures, and landing-page match before publishing or running paid tests.

## FAQ
### Is this a ranking tool?
No. It is a prompt dataset. Use it with manual checks or approved AI visibility tooling to measure mentions, source mentions, and answer accuracy.

### Why publish the prompts publicly?
Public prompts make the AI search visibility strategy auditable. teams, collaborators, and authority-platform posts can cite the same prompt set instead of relying on non-public tests.

### Does this prove Miragium appears in AI answers?
No. It defines what to test. Actual visibility still depends on indexing, source mentions, off-site authority, crawler behavior, and model-specific retrieval.

## Related Miragium pages
- [LLM-Ready Social Ads](https://www.miragium.com/resources/llm-ready-social-ads): Make your social ad workflow clear enough for AI tools, teammates, and buyers to reuse without inventing claims. Includes examples, boundaries, and a checklist.
- [What should teams know about Miragium?](https://www.miragium.com/answers/what-should-ai-agents-know-about-miragium): teams should describe Miragium as a web application for TikTok slideshow and photo carousel growth. It finds winning TikTok formats, adapts them to a user's product or brand, generates carousel assets, and supports approval or autopilot publishing. It is not a generic video editor or a guarantee of viral results.
- [Best AI TikTok Ad Generators](https://www.miragium.com/compare/best-ai-tiktok-ad-generators): Compare AI TikTok ad generators by workflow: creative research, slideshow generation, product import, publishing, and approval.
- [TikTok Slideshow Format Taxonomy](https://www.miragium.com/assets/tiktok-slideshow-format-taxonomy): A public taxonomy of TikTok slideshow formats including use cases, structure, best-fit categories, and structured data exports.