Geometric mean of LBA, Authority and TOM. Penalises any single weak metric.
What the model believes about SkinCeuticals without web search.
Frequency × prominence across organic category prompts.
Measures what GPT-5 believes about SkinCeuticals from training alone, before any web search. We probe the model 5 times across 5 different angles and score 5 sub-signals.
High overlap with brand prompts shows SkinCeuticals is firmly in the model's "anti-aging serum" category.
Unprompted recall on 15 high-volume discovery prompts, run 5 times each in pure recall mode (no web). Brands that surface here are baked into the model's training, not borrowed from live search.
| Discovery prompt | Volume | Appeared | Positions (5 runs) |
|---|---|---|---|
| What are the best anti-aging serums? | 5,400 | 5/5 | 1, 1, 1, 1, 1 |
| Which anti-aging serum brands are most recommended? | 0 | 5/5 | 1, 1, 1, 1, 1 |
| What are the top anti-aging serum brands? | 0 | 5/5 | 1, 1, 1, 1, 1 |
| What is the best anti-aging serum for wrinkles? | 0 | 5/5 | 1, 1, 1, 2, 1 |
| Which anti-aging serums work the best? | 5,400 | 5/5 | 1, 3, 1, 1, 1 |
| What are popular anti-aging serum options? | 0 | 5/5 | 1, 1, 4, 1, 1 |
| What anti-aging serums do dermatologists recommend? | 10 | 5/5 | 2, 1, 4, 1, 1 |
| Which anti-aging serum brands are worth trying? | 0 | 5/5 | 1, 1, 1, 1, 1 |
| What are the most effective anti-aging serums? | 0 | 5/5 | 1, 1, 1, 1, 1 |
| What are the best anti-aging serums for mature skin? | 0 | 5/5 | 1, 1, 1, 1, 2 |
| What anti-aging serums have the best reviews? | 0 | 5/5 | 1, 1, 1, 1, 1 |
| Which anti-aging serums are highest rated? | 0 | 5/5 | 1, 1, 1, 1, 1 |
| What are the best anti-aging serums for fine lines? | 0 | 5/5 | 1, 1, 1, 1, 1 |
| What are the best anti-aging serums for firming skin? | 0 | 5/5 | 1, 1, 1, 1, 1 |
| Which anti-aging serum brands should I look at first? | 0 | 5/5 | 1, 1, 1, 1, 1 |
This report focuses on Dermocosmetic Anti-Aging Serums because that is where SkinCeuticals scores highest. The model also evaluates it against the industries below, with their own prompts and competitor sets. Click any industry for its full leaderboard.
Generated automatically from gaps and weaknesses in the analysis above, ranked by potential impact on the AI Visibility Score.
You score 76 on recall but only 20 on retrieval (gap of +55.9). Training-data authority is outpacing your current web footprint. Publish fresh, well-cited content to keep search-augmented responses including your brand.
Close the fragility gapYour LBA is strong. Focus on maintaining authoritative coverage and ensuring new product launches get independent reviews within 12 months of release.
Maintain current LBACore TOM is strong. Watch for specific differentiators (slogans, signature products) that appear in only some iterations. Push those into training-data-crawled headlines.
Maintain / refine TOMOther brands in the Dermocosmetic Anti-Aging Serums industry, ranked by overall AI Visibility Score.
Every score on this page is reproducible. Below is exactly what we ran and how we computed each number.
(LBA × Authority × TOM)^(1/3). Geometric mean is used so that any single weak metric pulls the overall score down, rather than being masked by strength elsewhere.
quality × meta × stability × share × recognition × 100. Each sub-signal is on a 0-1 scale. Read the full LBA methodology →
Analysis run on April 23, 2026 at 2:23 AM
Click a prompt to expand its responses. 210 total responses across 72 prompts.