Product Carbon Intelligence
pacemaker.aiManufacturing processes inevitably generate CO₂ emissions, and there is growing pressure from regulators, investors, and customers to reduce them, particularly within the product supply chain where most emissions occur. The solution’s carbon intelligence component uses machine learning and advanced AI algorithms to determine product-level carbon footprints and automatically generate detailed CO₂ balances, with models that are continuously refined over time. This scalable approach reduces reliance on external consultants and minimizes the internal effort required from company personnel.
The platform standardizes and consolidates input data from diverse source systems and supports structured sharing of results with relevant stakeholders, helping organizations focus on core operations while advancing supply chain decarbonization. The PCI delivers consistent, reliable CO₂ emissions accounting, and its automation and data integration capabilities replace manual data gathering and analysis, conserving time and resources. It is designed to handle assessments for millions of products, and its visual dashboards and actionable insights help users pinpoint major emission drivers, monitor progress, and communicate outcomes effectively.
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
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 Product Carbon Intelligence mention score POST /v3/content_analysis/summary { "keyword": "Product Carbon Intelligence", "type": "llm_mentions", "date_from": "2025-01-01" }
