Rankings Methodology
How we collect data, calculate metrics, and build the open brand visibility ranking in AI responses. Full process transparency.
Data Sources
We monitor responses from 8 leading AI providers and platforms. Each provider receives the same queries relevant to each industry niche.
Data Collection Process
Data collection is fully automated and runs regularly in several stages:
Sending Queries
For each niche, a set of search queries (prompts) is created that reflect typical user questions: informational, commercial, navigational, and transactional. Queries are sent to each of the 8 AI providers.
Response Analysis
Each AI response is analyzed for brand mentions: whether the brand is mentioned, its position in the list, and sentiment (positive, neutral, negative).
Metrics Aggregation
Data is aggregated over a rolling 30-day period. Key metrics are calculated for each brand and competitor: domain citation rate, average position, sentiment, and response coverage.
Ranking Formation
Based on aggregated metrics, a ranking is formed within each niche. Brands and competitors are ranked by mention rate, and position changes relative to the previous day are calculated.
Processed Response Example
Here's what an analyzed response looks like, using T-Bank as an example. From each such response, the system extracts data for calculating ranking metrics: brand mention (Mention Rate), position in the list (Average Position), and mention sentiment (Sentiment).
Claude's response card for the query "Which cashback card to choose?" — T-Bank mentioned at position #1 with a direct recommendation and GEO Score 97
Ranking Metrics
Each brand and competitor in the ranking is evaluated across five key metrics:
Domain Citation Rate
Percentage of all AI responses that include a direct link to the brand's website domain. Shows how often AI providers cite the brand as a source, not just mention it by name.
Response Coverage (Mention Rate)
Percentage of AI responses that mention the brand out of all queries in the niche. Shows how often AI providers recall the brand.
Average Position
Average position of the brand in the list of mentioned companies. A value of 1.0 means the brand is always mentioned first. Lower is better.
Sentiment
Distribution of brand mention sentiment: positive (brand is praised), neutral (simply mentioned), and negative (criticized). Displayed as a percentage of all mentions.
Ranking Calculation
Rankings are generated automatically based on collected data:
- For each niche, the top 20 companies with the most actual mentions during the period are selected
- Companies are ranked by Mention Rate (response coverage) — the more often AI mentions the brand, the higher the position
- Position changes relative to the previous calculation are tracked to monitor dynamics
- Data is recalculated regularly with a 30-day rolling window, which smooths out random fluctuations
Tracked Industries
Currently, the ranking covers 5 key industries in the Russian market:
Update Frequency
Rankings are updated on a regular basis:
- AI response monitoring is conducted regularly
- Rankings are recalculated on a regular basis
- Rankings are calculated using data from the last 30 days (rolling window)
- All metrics are updated automatically — no manual intervention required
Want to monitor your brand?
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