# Genesys (@Genesys) on x

- id: koinon:creator:x_genesys
- url: https://koinonlink.com/kol/x/Genesys
- schema_version: 1.4

## Identity
- platform: x
- handle: Genesys
- platform_url: https://twitter.com/Genesys
- website: http://www.genesys.com
- entity_type: creator
- person_id: koinon:person:linkedin_genesys

## Reach
- followers: 32180
- following: 1176
- posts_total: 29761
- posts_observed: 5
- posts_per_day: 4.631
- account_age_days: 6427
- verified: false
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00003
- best_post_interactions: 1
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- 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: software
- subcategory: martech
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: AI-Powered Experience Orchestration, Customer loyalty trends, Genesys events like Xperience26, Enterprise CX stories and innovations
- bio: Genesys delivers AI-Powered Experience Orchestration at enterprise scale while building what’s next in AI.

## Audience (inferred)
- status: present
- description: Enterprise CX and IT decision-makers at large organizations evaluating AI-powered customer experience platforms
- roles: cx
- seniority: decision_maker
- pain_points: Rising bar for customer experience quality, Using loyalty to drive revenue and retention, Scaling AI orchestration across enterprise operations, Keeping up with major industry events and product announcements
- posts_analysed: 4
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 41
- authenticity_basis: engagement_observed
- credibility_score: 76
- 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
- [x_genesys#03ffc099] POV: Your calendar says "August Free Friday." 🏖️ Your plans say something else. #OneGenesys https://t.co/7k3BMk7LnF (https://twitter.com/Genesys/status/2067948062329168099)
- [x_genesys#9652f83d] Customer loyalty is changing how businesses compete. It's influencing buying decisions, driving revenue, & shaping long-term growth. Hear why customer-first organizations are pulling ahead. Register to join our next Executive Perspectives: https://t.co/ESAp5RUnMg https://t.co
- [x_genesys#84ea5722] If Vegas isn't on your route, we've got the next best exit. Join the #Xperience26 live broadcast for the keynotes, big announcements and conversations driving the future of CX. Reserve your seat: https://t.co/qmqsrE03K6 https://t.co/j8BdKif9bb
- [x_genesys#39b754b4] The bar for customer experience is constantly rising. Discover the Genesys story in the AI & Data Cloud episode of “Threads of Connectivity” from Nicely Done Productions, now on https://t.co/SxZKmvXNXl. 🎥 https://t.co/5JVYWtYVhx https

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

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=78, 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=78, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=119, 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=0.5, freshness_days=78, 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=119, 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=119, method=platform_profile

## Freshness
- profile_checked_days_ago: 119
- content_analysed_days_ago: 78
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 11
- 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=x_genesys
- Request removal: https://koinonlink.com/claim?k=x_genesys
- Terms: https://koinonlink.com/for-ai