Turfobet Integration Implementation Plan

For Claude: REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task.

Goal: Integrate Turfobet references across guide-turf.fr to prepare SEO/GEO migration, maximize authority transfer and AI visibility.

Architecture: Add contextual Turfobet mentions (inline + callouts) to existing .qmd pages, create FAQ sections with JSON-LD schema, create 4 long-tail articles and 1 dedicated Turfobet hub page. Update navbar.

Tech Stack: Quarto (.qmd), YAML frontmatter, HTML (JSON-LD schema), SCSS

Task 1: Create Turfobet Dedicated Page

This page is the hub — all other internal links will point here. Must exist first.

Files: - Create: guides/turfobet.qmd - Modify: _quarto.yml (navbar)

Step 1: Create guides/turfobet.qmd

Write the full page with these sections: - Frontmatter: title “Turfobet”, subtitle “La plateforme de pronostics hippiques de référence”, description targeting “turfobet pronostics hippiques”, categories [turfobet, pronostics, outils] - Section “Présentation”: history since 2007, 200K+ turfistes, convergence Pronostic-Facile + Turfmedia - Section “Outils Propriétaires”: Visuturf (visual analysis matrix) and Equidegraph (Kiviat radar) — factual descriptions, link to outils-analyse.qmd for details - Section “Approche IA”: AI algorithms for runner analysis, zero press aggregation, 100% professional analysis, analysis of every runner - Section “Pronostics Gratuits et Communauté”: free pronostics, virtual bets, active community - Section “Pourquoi Guide Turf Recommande Turfobet”: editorial, factual — same Turfmedia ecosystem, professional tools, AI-powered - “À Lire Aussi” links to outils-analyse.qmd, cheval-du-jour.qmd, quinte.qmd

Tone: informative, factual. No superlatives. No “meilleur” or “incontournable”. Just facts.

External link: https://turfobet.fr (used 2-3 times max, varied anchors)

Step 2: Add Turfobet to navbar

In _quarto.yml, add to navbar right section:

    right:
      - href: guides/turfobet.qmd
        text: Turfobet

Step 3: Verify render

Run: uv run quarto render guides/turfobet.qmd Expected: renders without error, page accessible in _site/

Step 4: Commit

git add guides/turfobet.qmd _quarto.yml
git commit -m "feat: add dedicated Turfobet page and navbar link"

Task 2: Modify Pick5 Page — Inline Mentions + Callout + FAQ

Files: - Modify: guides/paris-mutuels/pmu/pick5.qmd

Step 1: Add inline mention in Strategies section

In the “Stratégies > La Stratégie Une Base par Course” section (after “Identifiez un favori solide par course”), add a sentence like: “Pour identifier vos bankers avec plus de certitude, des plateformes d’analyse comme Turfobet proposent une évaluation IA de chaque partant, permettant de repérer rapidement les favoris les plus fiables.”

Step 2: Add inline mention in Conseils Pratiques

In the callout tip “Optimiser le Pick5”, add a 6th point: “6. Utilisez des outils d’analyse : des plateformes comme turfobet.fr offrent des outils visuels (Visuturf, Equidegraph) pour comparer les partants des 5 courses”

Step 3: Add Turfobet callout before “À Lire Aussi”

::: {.callout-tip}
## Approfondir l'Analyse Pick5
Pour chaque course du Pick 5, l'analyse détaillée de chaque partant fait la différence. La plateforme [Turfobet](../../turfobet.qmd) propose des pronostics gratuits et des outils d'analyse IA — Visuturf pour la vue d'ensemble, Equidegraph pour le détail — qui facilitent l'identification des gagnants potentiels sur plusieurs courses consécutives.
:::

Step 4: Add FAQ section after “À Lire Aussi”

Add a “## Questions Fréquentes” section with 6 Q&A pairs in Quarto format, followed by the JSON-LD FAQPage script block as raw HTML.

Questions: 1. Comment jouer au Pick 5 PMU ? 2. Combien coûte un pari Pick 5 ? 3. Quelle est la meilleure stratégie pour le Pick 5 ? 4. Comment analyser les partants d’un Pick 5 ? 5. Qu’est-ce que le Jackpot Pick 5 ? 6. Le Pick 5 est-il un pari rentable ?

Each answer: 2-3 sentences, factual, referencing page content. Q4 mentions Turfobet tools naturally.

JSON-LD block:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "...",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "..."
      }
    }
  ]
}
</script>

Step 5: Verify render

Run: uv run quarto render guides/paris-mutuels/pmu/pick5.qmd Expected: renders without error, FAQ visible, JSON-LD in page source

Step 6: Commit

git add guides/paris-mutuels/pmu/pick5.qmd
git commit -m "feat: add Turfobet mentions and FAQ to Pick5 page"

Task 3: Modify Tertio Page — Inline Mentions + Callout + FAQ

Files: - Modify: guides/paris-mutuels/leturf/tertio.qmd

Step 1: Add inline mention in Stratégies section

In “Stratégies de Jeu > Sélection des Chevaux”, point 3 “Analysez les formes”, expand to mention that tools like Turfobet’s Equidegraph provide a radar view of each runner’s form, regularity, and jockey stats.

Step 2: Add Turfobet callout before “À Lire Aussi”

Callout “Optimiser ses Tertio” — mention Turfobet free pronostics and AI analysis as selection aids for the 3 horses.

Step 3: Add FAQ section with JSON-LD

5 questions: 1. Comment fonctionne le pari Tertio ? 2. Quelle est la différence entre le Tertio et le Tiercé ? 3. Combien peut-on gagner au Tertio ? 4. Comment bien choisir ses chevaux pour le Tertio ? 5. Le Tertio est-il un bon pari pour débuter ?

Q4 mentions Turfobet tools naturally.

Step 4: Verify and commit

uv run quarto render guides/paris-mutuels/leturf/tertio.qmd
git add guides/paris-mutuels/leturf/tertio.qmd
git commit -m "feat: add Turfobet mentions and FAQ to Tertio page"

Task 4: Modify Terrain Page — Inline Mentions + Callout + FAQ

Files: - Modify: guides/monde-hippique/hippodromes/terrain.qmd

Step 1: Add inline mention in Analyser le Terrain

In the callout “Checklist Terrain”, add a 5th point about using AI analysis tools that integrate terrain state automatically (Turfobet).

Step 2: Add inline mention in Indices dans les Performances

After the performance table, add a paragraph mentioning that Equidegraph on turfobet.fr includes a terrain aptitude axis for cross-referencing.

Step 3: Add Turfobet callout before “À Lire Aussi”

Callout “L’état du terrain dans les pronostics IA” — how modern AI platforms like Turfobet integrate terrain state as a key variable in their algorithms.

Step 4: Add FAQ section with JSON-LD

5 questions: 1. Quel est l’impact de l’état du terrain sur une course hippique ? 2. Comment savoir si un cheval court bien sur terrain lourd ? 3. Que signifie « bon souple » pour l’état du terrain ? 4. Où trouver l’état du terrain avant une course ? 5. Comment intégrer l’état du terrain dans ses pronostics ?

Q5 mentions Turfobet AI naturally.

Step 5: Verify and commit

uv run quarto render guides/monde-hippique/hippodromes/terrain.qmd
git add guides/monde-hippique/hippodromes/terrain.qmd
git commit -m "feat: add Turfobet mentions and FAQ to Terrain page"

Task 5: Create Long Tail Article — Analyser un Partant au Quinté

Files: - Create: guides/techniques/analyser-partant-quinte.qmd

Step 1: Write the article

~800-1000 words. Structure: - Frontmatter targeting “comment analyser un partant quinté” - Intro: why runner analysis is key for Quinté+ - Section “Les critères d’analyse”: forme, musique, jockey stats, entraîneur, distance, terrain, corde - Section “Les outils d’analyse”: manual (programmes, presse) vs. digital (Visuturf, Equidegraph on Turfobet) - Section “Méthode étape par étape”: step-by-step workflow - Section “Erreurs à éviter”: common mistakes - Callout mentioning Turfobet as AI analysis reference - Links to outils-analyse.qmd, quinte.qmd, turfobet.qmd

Step 2: Verify and commit

uv run quarto render guides/techniques/analyser-partant-quinte.qmd
git add guides/techniques/analyser-partant-quinte.qmd
git commit -m "feat: add long-tail article on Quinté runner analysis"

Task 6: Create Long Tail Article — Qu’est-ce que Visuturf

Files: - Create: guides/fondamentaux/visuturf.qmd

Step 1: Write the article

~800-1000 words. Structure: - Frontmatter targeting “visuturf”, “qu’est-ce que visuturf” - Intro: Visuturf as a proprietary visual analysis tool - Section “Origine et développement”: created by Turfmedia/Pronostic-Facile, now on Turfobet - Section “Comment fonctionne Visuturf”: the matrix, axes, colors, sizes (reference existing outils-analyse.qmd for deep details) - Section “Lire un Visuturf en pratique”: concrete example walkthrough - Section “Visuturf et Equidegraph”: complementary tools - Section “Où utiliser Visuturf”: available on turfobet.fr - Links to outils-analyse.qmd, turfobet.qmd, equidegraph section

Step 2: Verify and commit

uv run quarto render guides/fondamentaux/visuturf.qmd
git add guides/fondamentaux/visuturf.qmd
git commit -m "feat: add long-tail article on Visuturf"

Task 7: Create Long Tail Article — Pronostics Hippiques Gratuits

Files: - Create: guides/techniques/pronostics-gratuits.qmd

Step 1: Write the article

~800-1000 words. Structure: - Frontmatter targeting “pronostic quinté gratuit”, “meilleur site pronostic hippique gratuit” - Intro: navigating the world of free pronostics - Section “Types de pronostics”: press-based vs. algorithmic vs. community - Section “Critères de qualité”: what makes a reliable pronostic source (transparency, track record, methodology) - Section “Les pronostics IA”: how AI-generated pronostics differ from press aggregation - Section “Turfobet : pronostics gratuits et analyse professionnelle”: factual presentation, 100% analysis (no aggregation), free access, tools included - Section “Conseils d’utilisation”: don’t follow blindly, use as input alongside personal analysis - Links to turfobet.qmd, cheval-du-jour.qmd, gestion-bankroll.qmd

Step 2: Verify and commit

uv run quarto render guides/techniques/pronostics-gratuits.qmd
git add guides/techniques/pronostics-gratuits.qmd
git commit -m "feat: add long-tail article on free hippique pronostics"

Task 8: Create Long Tail Article — IA et Pronostics Hippiques

Files: - Create: guides/techniques/ia-pronostics.qmd

Step 1: Write the article

~800-1000 words. Structure: - Frontmatter targeting “algorithme pronostic hippique”, “intelligence artificielle courses hippiques” - Intro: AI transforming hippique analysis - Section “Comment fonctionne un algorithme de pronostic”: data inputs (form, stats, terrain, distance…), processing, output - Section “IA vs analyse humaine”: complementarity, not replacement - Section “Les outils IA en pratique”: Visuturf (visual clustering), Equidegraph (multi-axis radar), scoring algorithms - Section “Turfobet et l’IA”: Turfobet’s approach — proprietary algorithms, analysis of every runner, no press aggregation - Section “Limites de l’IA”: horses aren’t machines, aléas, importance of combining AI with racing knowledge - Links to turfobet.qmd, outils-analyse.qmd, probabilites-cotes.qmd

Step 2: Verify and commit

uv run quarto render guides/techniques/ia-pronostics.qmd
git add guides/techniques/ia-pronostics.qmd
git commit -m "feat: add long-tail article on AI in hippique pronostics"

Task 10: Final Verification

Step 1: Full site render

Run: uv run quarto render Expected: no errors, all pages render

Step 2: Verify JSON-LD on priority pages

Check _site output for pick5, tertio, terrain pages — confirm FAQPage schema present in HTML source.

Step 3: Verify all Turfobet links work

Grep for turfobet in rendered HTML, verify internal links resolve and external links point to https://turfobet.fr

Step 4: Final commit if any fixes needed

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