Karl Parks
karlparks.appKarl Parks is a predictive street parking application for San Francisco that utilizes machine learning to forecast availability at metered blocks. By analyzing over 206 million historical parking sessions, the platform generates block-by-block occupancy heatmaps and hourly trends to help drivers locate open spots efficiently. The service provides users with actionable data on meter counts, enforcement schedules, and optimal parking times across the city.
LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.
Normalized 0–100 · last 8 weeks
DataForSEO API
Get LLM mention data of any company via DataForSEO API
Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.
How to get LLM mention data →// Fetch Karl Parks mentions POST v3/ai_optimization/llm_mentions/search_mentions/live [ { "target": [ { "domain": "karlparks.app", "search_filter": "include", "search_scope": ["sources"] } ], "order_by": ["ai_search_volume,desc"] } ]
