Training Example: Yahoo / AltaVista – Review the Data, Give Your Score & Compare to the Real AI Evaluation

Industry Context — Common BS Fingerprints in Media, News & Publishing
Generic Claims: trusted news source, unbiased reporting, the truth, delivered, journalism that matters…
Red Flags: no named editorial staff, sponsored content without clear labelling, no corrections or complaints policy, ownership and funding not disclosed…
Semantic Drift Patterns: claims editorial independence but content is sponsored, claims fact-checked but no corrections policy visible, homepage says investigative but content is aggregated wire stories, claims community voice but no local reporting staff…
Proof Expectations: named journalists and editorial staff, published editorial standards and ethics code, corrections and complaints policy, ownership and funding transparency…

Yahoo / AltaVista

(https://altavista.com) 📸 Data Snapshot: May 29, 2026

Analyze the raw signals below. How would a machine score this business’s credibility?

Here are the exact signals captured from up to six pages of the site — the same raw inputs the evaluation engine analyzed. They are grouped by signal type so you can weigh each the way the machine does.

🏗️ Semantic Structure — heading hierarchy & page identity (Info Density · Commodity Fingerprint)
HOMEPAGE Yahoo Search – Web Search (https://altavista.com)
Title

Yahoo Search – Web Search

Meta

The search engine that helps you find exactly what you

H3 Hello!
H3 Trending Now
📝 The Narrative — clean text per page (Info Density · Semantic Coherence)
HOMEPAGE · THIN (https://altavista.com) Yahoo Search – Web Search
YahooSettings60° F Manchester
[H3] Hello!
[H3] Trending Now
1 Donald Trump 2 Blue Origin 3 Claude Lemieux Suicide 4 Alabama Softball 5 Martina McBride 6 Dallas Apartment Explosion 7 Los Angeles Dodgers 8 Cecilia Vega 9 Belmont Stakes 10 Mitchell Robinson SettingsReport a concernHelpPrivacyTermsPrivacy & Cookie SettingsAdvertiseAbout adsAbout this page
359 chars
🛡️ Trust Signals — reviews, proof links, trust-theatre flag (Trust & Proof)
34Review mentions (all pages)
0External proof links (all pages)
PageReviewsProof links
/ (home) 34 0
🔗 Identity & Technical Layer — schema JSON-LD: identity chains, entity gaps (Identity & Authority)
Homepage — no schema detected (entity gap)

Your Diagnosis

Before revealing the machine’s verdict, predict the BS score for each signal. Higher = more BS (more fluff, less verifiable substance). Drag each slider, then submit to compare your judgment against the engine.

Information Density 0 / 30
Read the Narrative & headings: do hard facts (prices, dates, numbers) outweigh fluff power-words?
Semantic Coherence 0 / 20
Compare the homepage promise against the sub-page reality. Do they hold the same line?
Trust & Proof 0 / 20
Weigh review mentions against actual external proof links. Claims without verification = theatre.
Commodity Fingerprint 0 / 15
Check headings & narrative against the industry clichés in the setup above.
Identity & Authority 0 / 15
Inspect the schema: is there real Organization/Person identity with sameAs links, or gaps?
Your predicted BS score 0 / 100
💡 Stuck? Reveal the heuristic lens — how the deterministic page-auditor reads each signal (no AI, pure pattern rules)

These are the structural rules a local, deterministic auditor applies — the same lens you can use to judge each signal. They describe what to look for, not this company’s result.

Information Density

Classify each sentence as substantive or hollow. Grounding markers — numbers, currencies, dates, technical units, named entities — outweigh marketing adjectives. When fluff sits right next to hard evidence, the fluff is forgiven.

Semantic Alignment

Pull the main entities out of the H1, then check whether they actually recur through the body. A page that announces one thing and then talks about another drifts. Headings with no real sentences underneath read as pseudo-substance.

Trust & Proof

Count trust words (review, testimonial, rating, verified) against real outbound proof links (Google, Trustpilot, Clutch, G2, Yelp). Lots of trust language with zero verification links is trust theatre. Unlinked logo galleries count against it.

Commodity Fingerprint

Look at how much sentence length varies. Natural writing varies its rhythm; templated or mass-produced copy is statistically uniform. Very low variation reads as commodity content — unless unique named entities break the pattern.

Identity & Authority

Inspect the JSON-LD. Is there an Organization or Person schema, and does it carry sameAs links to real external profiles (LinkedIn, socials)? Missing schema or no identity declaration signals an anonymous entity.

Want to apply this lens yourself? The free BS Indicator Chrome extension runs these heuristic checks live on any page. Bear in mind it is a single-page, deterministic tool — it relies only on pattern rules for the page in front of it and does not perform the cross-page semantic correlation this audit uses, so its readout is a starting lens, not the full verdict.

B
BS Level
Media, News & Publishing
33.8 Avg BS

Based on 798 businesses audited.

BS Detector

Media, News & Publishing BS: Yahoo / AltaVista (altavista.com)

https://altavista.com 📍 Industry: Media, News & Publishing
74 BS / 100

The site is a legacy brand shell performing search engine theatre with no actual editorial substance or journalistic authority. It fails to meet the basic transparency requirements for a Media and Publishing entity, functioning instead as a high-drift navigational relic. It is the digital equivalent of a hollowed-out newsstand displaying a ‘Trusted’ sign without any actual newspapers for sale.

Info Density Power-words vs. Substance ratio.
20
67% BS
Semantic Coherence Homepage promise vs. Sub-page reality.
15
75% BS
Trust & Proof Verifiable evidence vs. Trust Theatre.
12
60% BS
Commodity Fingerprint Detection of industry clichés/templates.
12
80% BS
Identity & Authority Expert verifiability & Schema depth.
15
100% BS

Immediately implement an H1 heading that defines the specific editorial mission or search capability of the page to reduce fluff. Integrate Organization and Person schema to link the brand to verifiable entities and named editorial contributors. Add a dedicated Editorial Standards or Ethics Policy page to move beyond the generic commodity fingerprint of an aggregator. Replace the unverified review count with links to third-party transparency reports or a published corrections policy.

The site identifies as a web search portal, which is a significant mismatch for the Media, News and Publishing industry patterns provided. While it lists trending news topics, it lacks the editorial infrastructure, journalistic naming, or ethical disclosures typical of a news organization.

“The score is primarily driven by the Information Density pillar (20/30), reflecting a lack of original substance. Identity and Authority gaps (15/15) also maximize the score due to missing schema and named expertise. The Semantic Coherence score (15/20) captures the drift between the domain's legacy and its current skeletal search-portal state.”

Verified Analysis Date: May 29, 2026 © 1EuroSEO Independent Evaluator — Non-Sponsored Result