Solutions

TotalEnergies transforms its SEO content management

Total Energies was looking to optimize the updating of its web content, a costly and time- consuming manual process that was affecting its SEO and audience. Draft&Goal proposed a solution based on Al agents to automate this process. This enabled TotalEnergies to simplify content updates, significantly increase efficiency and maintain optimal SEO performance, while freeing up resources for higher value-added tasks.

Context

TotalEnergies manually managed the update of thousands of web pages, leading to high costs and long processing times. Each revision required approximately 4 hours of work, limiting the team’s capacity to only 2 articles per day. This inefficient process negatively impacted the company’s responsiveness and SEO, resulting in a loss of audience and organic traffic.

To address these challenges, TotalEnergies turned to Draft&Goal to automate these updates and free their teams from repetitive tasks. The primary goal was to optimize content workflows while significantly reducing operational costs.

Results

By integrating Draft&Goal’s solution, TotalEnergies was able to:

  • Reduce update time per article from 4 hours to 20 minutes.
  • Increase daily capacity to 24 articles, a 1,200% productivity boost.
  • Lower annual review costs from $312,000 to $26,520, achieving a 92% reduction in expenses.

With this automation, TotalEnergies now maintains real-time content updates, enhancing SEO performance and boosting organic traffic.

Facilitates the processing

Our features

Automate complex tasks with no-code workflows, smart agents, and flexible integrations.

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Campaign Highlights

See how our solution transformed TotalEnergies’ content management

Number of articles updated per day with the automated solution, compared to just 2 before.
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Total volume of articles managed annually with Draft&Goal.
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(hours).Time reduced per article update, enabling greater efficiency.
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Percent. Boost in daily content updates, increasing from 2 to 24 articles per day through automation.
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