BUT! Football Club
Media / Football

ButFootballClub.fr × Uclic: End-to-end AI pipeline increases production from 5 to 50 articles/day with −80% cost

End-to-end AI pipeline where journalists are reviewers, not writers: 4.66M organic clicks, average position 3.9, 6.9% CTR.

Key figures

What BUT! Football Club achieved

+200%

Organic Clicks / day

+150%

Impressions / day

6.9%

Average CTR

3.9

Average Google Position

01 · Context

The challenge

Before the AI process, ButFootballClub.fr operated on the classic football media model: a team of freelancers, manual production, a high marginal cost per article, and an editorial window that closed as soon as a transfer or rumor broke. It was impossible to cover all fronts (transfers, scouting, live updates, player data) with the same workforce.

On December 10, 2025, we deployed an end-to-end AI pipeline. Not an automated blog without review: a custom application where journalists remain decision-makers on publication, but where production, player data, internal linking, and photo sourcing are industrialized.

Before
  • Freelance team (costly)
  • Slow production: 3–5 articles / day
  • Uneven quality, no enriched data
  • Manual internal linking = almost non-existent
  • Total human dependence
After, since Dec 10, 2025
  • Automated end-to-end AI pipeline
  • Production: 30–50 articles / day
  • Enriched data for every player cited
  • Automatic internal linking
  • Journalists for review only
02 · Objective

Objective

  • Industrialize editorial production without degrading quality or being exposed to penalties for unregulated AI content.
  • Reduce dependence on freelancers while keeping journalists for editorial review and factual oversight.
  • Broaden coverage on long-tail football topics (players, transfers, scouting, data) without cost inflation.
03 · The Uclic approach

The Uclic approach, Custom-built App

Custom-built application where journalists review articles. AI scrapes news, aggregates player data, generates internal links, finds photos from image banks, then prompts the LLM for the final article.

  1. 01

    Football news scraping

    Continuous monitoring of football sources (rumors, transfers, conferences, rankings). Real-time detection of high-potential editorial angles.

  2. 02

    Player data aggregation

    Automatic enrichment: player profile, current club, season statistics, market value, transfer history, retrieved from structured sources.

  3. 03

    Automatic internal linking

    Automatic generation of internal links to existing player / club / transfer pages at the time of writing, plus backlink injection into older articles.

  4. 04

    Image bank photo

    Automatic selection of an image consistent with the article via a licensed image bank, without human intervention.

  5. 05

    AI prompt generation

    Drafting by LLM, constrained by aggregated data (step 2), planned internal linking (step 3), and an editorial template calibrated by article category.

  6. 06

    Journalist review

    The journalist receives the article in the internal app. They validate / amend / reject. They decide if the article goes to publication, not the AI.

  7. 07

    Automatic publication

    Once validated, the article is pushed for publication on the site with its metadata, image, internal links, and SEO schema. No additional manual action.

04 · Results

Results

The deployment of the AI process on December 10, 2025, triggered a clear break in the Search Console curve: an immediate and sustained explosion of organic traffic, without bumps or setbacks in the following weeks.

Search Console ButFootballClub.fr: 4.66M clicks, 67.6M impressions, 6.9% CTR, average position 3.9 over 12 months
Search Console: Last 12 months. The break on Dec 10, 2025, is clearly visible.
  • 4.66M organic clicks and 67.6M impressions accumulated over 12 months in Search Console.
  • Average CTR of 6.9%, more than double the average for the football media sector.
  • Average position 3.9 across all queries, meaning within the top 5 for the bulk of long-tail searches.
  • Production multiplied by 10 while reducing the marginal writing cost by 80%, and without breaking the human review chain.
Last step

You do not need more channels.
You need someone flying the plane.

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