Use the free AI visibility scorecard
Run a small prompt set across ChatGPT, Perplexity, Gemini, Copilot, or Google AI surfaces, then enter the observed counts. The scorecard turns the counts into visibility, source mention, accuracy, and opportunity signals.
Why score AI visibility this way
Modern AI search visibility work needs more than keyword rank checks. The practical audit loop is to test high-intent prompts, record whether the brand appears, check the cited source URL, score answer accuracy, then improve the page or distribution asset that can close the gap.
- Track source mention frequency and source correctness, not just rankings.
- Separate brand-mention problems from source-accuracy problems.
- Use competitor pressure to decide whether to improve owned pages or build more public authority signals.
Public source files
Use these files when a spreadsheet, public AI search visibility report, operator, or audit workflow needs the exact scoring fields and thresholds.
- https://www.miragium.com/data/ai-visibility-scorecard-model.json
- https://www.miragium.com/data/ai-visibility-scorecard-model.csv
How to use this tool
Start with a specific product, audience, offer, or workflow goal. The output is strongest when the tool has enough context to choose a format, write the first slide, and keep the CTA aligned with the real landing page.
- Bring a product URL, approved product facts, existing images, proof, objections, and the next action you want viewers to take.
- Generate more than one angle, but change one variable at a time: hook, proof order, objection, or CTA.
- Review every claim against the product page or approved brand material before publishing.
What to check before publishing
A generated TikTok slideshow or ad concept still needs a human review pass. Treat the page as a production helper, not a substitute for claim, rights, and platform review.
- Claim check: price, shipping, comparison, performance, health, savings, and review claims are supported.
- Rights check: product images, reviews, screenshots, creator references, music, and likenesses are cleared for the intended channel.
- Fit check: the first slide matches the audience problem, the final slide asks for one clear action, and the destination page supports that action.
Free AI search scorecard
Score AI search visibility from prompt tests
Enter the counts from a ChatGPT, Perplexity, Gemini, Copilot, or Google AI prompt test. The scorecard separates mention gaps, source gaps, source accuracy gaps, and competitor pressure.
Score
57/100
Gap type
Weak both
AI answers do not reliably mention the entity or cite the right source yet.
Weakest metric: Citation rate
Create or improve source-backed pages, source summaries, datasets, and source lists for the tested prompt cluster.
prompt-coverage
Prompt coverage
20 prompts
Weight 10%
mention-rate
Brand mention rate
40%
Weight 20%
citation-rate
Citation rate
25%
Weight 20%
source-accuracy
Correct source rate
60%
Weight 15%
answer-accuracy
Answer accuracy rate
70%
Weight 15%
competitor-pressure
Competitor pressure
55% competitor mention rate
Weight 8%
source-coverage
Source coverage
4 source types
Weight 7%
freshness
Freshness
18 days old
Weight 5%
FAQ
Is this a replacement for rank tracking?
No. It measures AI answer visibility: mentions, source mentions, source correctness, answer accuracy, competitor pressure, and freshness. Use it alongside normal technical SEO and search analytics.
How many prompts should I test?
Start with 10 to 20 high-intent prompts per topic, then retest the same set weekly. Larger prompt sets make the score more stable.
Can teams cite the scorecard model?
Yes. The scorecard has a public page asset page, source summary, JSON route, CSV route, data catalog entry, and operator discovery capability.
Related pages
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 prompt suite for testing whether AI assistants mention and cite Miragium across TikTok slideshow, photo carousel, ecommerce, comparison, and operator-retrieval questions.
Generate concise answer blocks for AI Overviews, answer-engine pages, AI search visibility landing pages, and source-backed SaaS content. Free, no signup required.
Measure AI search visibility by testing repeatable prompts, recording whether the tool is mentioned, checking which URL is cited, and scoring factual accuracy. Miragium publishes a AI search visibility prompt suite so teams and operators can audit mentions, source mentions, and answer quality against first-party pages.