# Raph | Try Pletor.ai (@raph.guilhem) on tiktok

- id: koinon:creator:tiktok_raph.guilhem
- url: https://koinonlink.com/kol/tiktok/raph.guilhem
- schema_version: 1.3

## Identity
- platform: tiktok
- handle: raph.guilhem
- platform_url: https://www.tiktok.com/@raph.guilhem
- website: pletor.ai
- country: France
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 3505
- following: 112
- posts_observed: 2
- verified: false
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: ecommerce
- subcategory: ecom_ads
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: Claude workflows for ad creative generation, AI UGC and video ad production, Infinite ads factory / scaling creatives, ROAS optimization through AI, Fashion and product campaign replication with AI

## Audience (inferred)
- status: present
- description: Marketing practitioners and growth teams focused on AI-powered ad creative production, especially those running performance campaigns on social platforms
- roles: ads
- seniority: practitioner
- pain_points: Struggling to produce high-volume, high-performing ad creatives without large budgets or video teams, Getting inconsistent or generic outputs when using AI tools for marketing, Difficulty scaling UGC-style or fashion/product video ads efficiently, Pressure to improve ROAS while keeping creative production costs low
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.7
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 38
- authenticity_basis: profile_shape_only
- credibility_score: 38
- flagged_for_review: false
- koinon_bd_grade: C — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [tiktok_raph.guilhem#af911308] This is insane 😭 Comment « Claude » #pletormcp #claude #ai (https://www.tiktok.com/@raph.guilhem)
- [tiktok_raph.guilhem#c4a8268d] original sound - need._to
- [tiktok_raph.guilhem#b955bfa6] It is a becoming a big trend on TikTok now! Click here: pletormcp
- [tiktok_raph.guilhem#d23f849b] Check out Raph | Try Pletor.ai’s video! #TikTok >
- [tiktok_raph.guilhem#c034c70b] How to build an infinite ads factory with Claude Code? #pletor #claude
- [tiktok_raph.guilhem#1f4183c0] Everything In Its Right Place
- [tiktok_raph.guilhem#3fe45d92] This loop mode feature is actually insane 🤯 I just generated a full fashion catalog in one click. One influencer → every outfit in the collection → perfectly consistent visuals. Here’s how it works: You create your influencer once, upload your entire catalog, and Pletor’s loop m

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=10, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=10, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=10, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=9, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=0, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=9, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=9, method=platform_profile

## Freshness
- profile_checked_days_ago: 9
- content_analysed_days_ago: 0
- audience_updated_days_ago: 10

## AI retrieval
- indexing_requests: 1
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=tiktok_raph.guilhem
- Request removal: https://koinonlink.com/claim?k=tiktok_raph.guilhem
- Terms: https://koinonlink.com/for-ai