BS Identity and Score for Feeld

AI-powered evaluation using the Model Context Optimization BS Detection Framework, based solely on publicly available website content.

B
BS Level
Social Networks, Communities & Forums
47.9 Avg BS

Based on 118 businesses audited.

BS Detector

Social Networks, Communities & Forums BS: Feeld (feeld.co)

https://feeld.co 📍 Industry: Social Networks, Communities & Forums
26 BS / 100

Feeld delivers a high-substance experience by replacing generic marketing fluff with specific community identifiers and sourced growth metrics. It successfully avoids the ‘Trust Theatre’ trap by citing third-party data providers, though it suffers from minor technical identity gaps and messy heading structures.

Info Density Power-words vs. Substance ratio.
7
23% BS
Semantic Coherence Homepage promise vs. Sub-page reality.
5
25% BS
Trust & Proof Verifiable evidence vs. Trust Theatre.
2
10% BS
Commodity Fingerprint Detection of industry clichés/templates.
3
20% BS
Identity & Authority Expert verifiability & Schema depth.
9
60% BS

1. Implement Organization and SoftwareApplication JSON-LD schema to bridge the technical authority gap. 2. Repair fragmented H2 headings on the homepage; currently, words like ‘of’ and ‘for the’ are tagged as headings, which dilutes structural logic. 3. Add a ‘Team’ or ‘About Us’ section that names actual leadership to provide a human anchor to the 14M-user claim. 4. Explicitly link to the referenced Sensor Tower report to provide a direct proof path for the growth claims.

Info Density Power-words vs. Substance ratio.
7 Impact Weight: 30 / 100
23% BS

Information density is high due to the presence of specific, verifiable data points. While some headings are fragmented (e.g., H2 ‘for the’, ‘your’), the body substance ratio is high, featuring a specific list of 10+ user profiles with ages and locations (Mateo, 34, London; Bubbles, 26, Toronto) and a sourced claim of ’14M+’ users attributed to Sensor Tower. The ‘Experiences’ page provides concrete data for IRL events, including specific venues like ‘Multi Story, London’ and ‘Elysian Theater, Los Angeles’ with precise dates.

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Semantic Coherence Homepage promise vs. Sub-page reality.
5 Impact Weight: 20 / 100
25% BS

There is virtually zero semantic drift between the homepage signal and sub-page substance. The H1 ‘A dating app’ and hero claim of connecting ‘open-minded people’ are directly supported by the tag cloud (Kink, ENM, Roleplay) and the dedicated ‘Experiences’ sub-page which lists actual queer and sex-positive events. The Terms of Use accurately reflect the dating app functionality and community expectations set on the homepage.

Transition from a collection of strings to a machine verifiable identity. Generate your Clinical SEO Strategy to establish a robust Knowledge Graph Topology and eliminate semantic black holes.

Trust & Proof Verifiable evidence vs. Trust Theatre.
2 Impact Weight: 20 / 100
10% BS

Trust theatre is minimal because the site avoids generic ‘Customer Testimonials’ in favor of raw profile data and sourced metrics. The review_count of 41 on the homepage is low, but the core claim of ’14M+’ users is backed by a ‘Sources’ footnote citing Sensor Tower (February 2026). This external verification path significantly reduces the BS score compared to sites that claim ‘millions’ without attribution.

Proof density is high for a consumer app. Verifiable evidence includes the Sensor Tower user count citation, a list of real-world event dates (May 26, June 2, July 5, 2026), and a clear disclosure of what to expect at socials (Music, loud conversations, audio sensitivity). This outweighs the vague marketing assertions like ‘genuine connection’ found in the H2s.

For a concrete demonstration of how the methodology exposes structural, semantic, and commercial gaps in a real hospitality brand, review a full executive level diagnostic applied to a coastal 4 star resort. View the Connemara Coast Hotel Executive SEO Strategy to see how positioning drift, UX friction, and experience SEO failures are surfaced in practice.

Commodity Fingerprint Detection of industry clichés/templates.
3 Impact Weight: 15 / 100
20% BS

The site avoids most industry cliches by using highly specific community jargon (e.g., ‘ENM’, ‘GGG’, ‘Cuddling’, ‘Being a brat’) that differentiates it from generic dating competitors. While it uses some standard templates like ‘Get The App’ and ‘Privacy Policy’, the value proposition is unique and cannot be copy-pasted onto a mainstream competitor like Tinder or Bumble without significant friction.

Identity & Authority Expert verifiability & Schema depth.
9 Impact Weight: 15 / 100
60% BS

The primary authority gap is technical; the site has null schema_json across all analyzed pages, failing to use structured data to define its Organization or SoftwareApplication status. Furthermore, while the community is well-defined, there is zero named leadership or ‘Person’ schema, creating a disconnect between the ‘Community’ claim and the corporate entity running it. The heading hierarchy is also technically messy, with multiple single-word H2 tags that serve design rather than structure.

There is a strong connection between performance claims and evidence. The site claims to ‘Take it offline’, and the Experiences page lists six specific upcoming and past events with venue names and times. The performance claim of being a ‘judgement-free place’ is supported by a granular safety policy and active consent guidelines detailed on the IRL events page.

Social Networks, Communities & Forums BS: Feeld (feeld.co)

BS: 26/ 100

The site fits the Social Networks and Communities category perfectly, specifically focusing on a niche dating and social graph for ‘open-minded’ individuals. The content proves this through specific community terminology like ENM, Kink, and non-monogamy, which are central to their community guidelines.

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“The score of 26 reflects a 'Low BS' profile. Points were primarily earned in the Identity and Authority pillar due to the total lack of schema and technical heading errors. The site performed exceptionally well in Trust and Proof and Information Density, where specific names, dates, and sourced numbers replaced standard industry fluff.”

Verified Analysis Date: May 26, 2026 © 1EuroSEO Independent Evaluator — Non-Sponsored Result
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