# David G Quaid (SEO) (@DavidGQuaid) on x

- id: koinon:creator:x_davidgquaid
- url: https://koinonlink.com/kol/x/DavidGQuaid
- schema_version: 1.4

## Identity
- platform: x
- handle: DavidGQuaid
- platform_url: https://twitter.com/DavidGQuaid
- website: https://linktr.ee/davidquaid
- country: Ireland
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 7048
- following: 2397
- posts_total: 36045
- posts_observed: 8
- posts_per_day: 7.705
- account_age_days: 4678
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00014
- 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: 0.92
- category_source: derived_from_recent_content
- topics: Page-level SEO, Link equity and link quality, Technical SEO for enterprise sites, B2B SaaS SEO, Link relevance and context, SEO modeling and data interpretation
- bio: ChatGPT, Google. Cybersecurity, AI, B2B, Tech, SaaS, FinTech. Current: @primaryposition, Previous SEO at Kemp ($250m), IntSights ($325m).

## Audience (inferred)
- status: present
- description: SEO practitioners and B2B SaaS marketers focused on technical SEO and link quality, especially those managing enterprise-level SEO at scale
- roles: seo_geo
- seniority: practitioner
- pain_points: Struggling to accurately assess link value due to outdated site-level SEO models, Confused about how to evaluate link relevance and authority when targeting specific pages, Frustrated by inconsistent or unclear signals from backlink sources, Overwhelmed by the complexity of page-level link equity distribution in large-scale SEO campaigns
- posts_analysed: 9
- 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: 54
- authenticity_basis: engagement_observed
- credibility_score: 69
- flagged_for_review: false
- koinon_bd_grade: B — 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_davidgquaid#95fceece] @Blogteq1 @kirstycarrot By who's definition are you calling a link "spam" ? (https://twitter.com/DavidGQuaid/status/2069058227866628340)
- [x_davidgquaid#e6639cf9] Link Equity passed = Link Equity / Relevance -85%
- [x_davidgquaid#7eaf2b9d] You're still looking at sites as a whole - its a page level system.  You need to change your model:
- [x_davidgquaid#1b69ee53] A casino site or a casino page?
- [x_davidgquaid#abeb2255] What page is it linking to?
- [x_davidgquaid#5db7a38e] What traffic does it have?
- [x_davidgquaid#ed70362d] How is it linking?
- [x_davidgquaid#439a4f6a] A casino in Reno could link to a dentist location page in Reno -

## 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=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=79, 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=79, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=117, 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=79, 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=117, 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=117, method=platform_profile

## Freshness
- profile_checked_days_ago: 117
- content_analysed_days_ago: 79
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 13
- 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_davidgquaid
- Request removal: https://koinonlink.com/claim?k=x_davidgquaid
- Terms: https://koinonlink.com/for-ai