Training Example: SWI-Prolog – Review the Data, Give Your Score & Compare to the Real AI Evaluation

Industry Context — Common BS Fingerprints in Software, SaaS & Tech Products
Generic Claims: the all-in-one platform, trusted by thousands of companies, increase productivity by X percent, save hours every week…
Red Flags: AI claims without explaining what the AI does, customer logos without case study or testimonial evidence, no live product access or demo, SOC 2 claims without audit period or report availability…
Semantic Drift Patterns: homepage claims AI-powered but product is rules-based, claims enterprise-grade but pricing page shows startup tiers only, homepage shows Fortune 500 logos but case studies are small businesses, claims all-in-one but integration page shows critical missing pieces…
Proof Expectations: live product demo or free trial access, specific feature documentation with screenshots, verified customer logos with published case studies, third-party review scores on G2, Capterra, or TrustRadius…

SWI-Prolog

(https://swi-prolog.org) 📸 Data Snapshot: June 19, 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 SWI-Prolog (https://swi-prolog.org)
Title

SWI-Prolog

REPEATED_BODY (https://swi-prolog.org/pldoc/man/)
REPEATED_BODY_FOOTER (https://swi-prolog.org/openid/login/)
BODY SWI-Prolog downloads (https://swi-prolog.org/Download.html)
Title

SWI-Prolog downloads

H2 Available download channels
H2 Announcements and get the "latest" version
H2 Read more about
📝 The Narrative — clean text per page (Info Density · Semantic Coherence)
HOMEPAGE (https://swi-prolog.org) SWI-Prolog
[IMG: SWI-Prolog owl logo]
Robust, mature, free. Prolog for the real world.
HOME
DOWNLOAD
SWI-Prolog
Sources/building
Docker images
Add-ons
Browse GIT
[IMG: External]
DOCUMENTATION
Manual
Packages
FAQ
Command line
PlDoc
Bluffers▶
Prolog syntax
PceEmacs
HTML generation
License
Publications
Rev 7 Extensions
TUTORIALS
Beginner▶
Getting started
Learn Prolog Now!
[IMG: External]
Simply Logical
[IMG: External]
Debugger
Development tools
Advanced▶
Modules
[IMG: External]
Grammars (DCGs)
[IMG: External]
clp(fd)
[IMG: External]
Printing messages
[IMG: External]
PlDoc
[IMG: External]
Web applications▶
Web applications
[IMG: External]
Let's Encrypt!
[IMG: External]
Pengines
Semantic web▶
ClioPatria
[IMG: External]
RDF namespaces
Graphics▶
XPCE
GUI options
Machine learning▶
Probabilistic Logic Programming
[IMG: External]
External collections▶
Meta level tutorials
[IMG: External]
For packagers▶
Linux packages
COMMUNITY
Forum & mailing list
[IMG: External]
Blog
News
Report a bug
Submit a patch
Submit an add-on
Roadmap (on GitHub)
[IMG: External]
External links
Contributing
Code of Conduct
Contributors
SWI-Prolog items
COMMERCIAL
WIKI
Login
View changes
Sandbox
Wiki help
All tags

SWI-Prolog offers a comprehensive free Prolog environment.
Since its start in 1987, SWI-Prolog development has been driven
by the needs of real world applications. SWI-Prolog is widely
used in research and education as well as commercial applications.
Join over a million users who have downloaded SWI-Prolog.
more ...
Download SWI-Prolog
Get Started
Try SWI-Prolog online (SWISH)
? Run SWI-Tinker in your browser

StarSponsor
1632 chars
SUB-PAGE · THIN (https://swi-prolog.org/pldoc/man/)

                            
0 chars
SUB-PAGE · THIN (https://swi-prolog.org/openid/login/)

                            
0 chars
SUB-PAGE (https://swi-prolog.org/Download.html) SWI-Prolog downloads
[IMG: SWI-Prolog owl logo]
SWI-Prolog downloads
HOME
DOWNLOAD
SWI-Prolog
Sources/building
Docker images
Add-ons
Browse GIT
[IMG: External]
DOCUMENTATION
Manual
Packages
FAQ
Command line
PlDoc
Bluffers▶
Prolog syntax
PceEmacs
HTML generation
License
Publications
Rev 7 Extensions
TUTORIALS
Beginner▶
Getting started
Learn Prolog Now!
[IMG: External]
Simply Logical
[IMG: External]
Debugger
Development tools
Advanced▶
Modules
[IMG: External]
Grammars (DCGs)
[IMG: External]
clp(fd)
[IMG: External]
Printing messages
[IMG: External]
PlDoc
[IMG: External]
Web applications▶
Web applications
[IMG: External]
Let's Encrypt!
[IMG: External]
Pengines
Semantic web▶
ClioPatria
[IMG: External]
RDF namespaces
Graphics▶
XPCE
GUI options
Machine learning▶
Probabilistic Logic Programming
[IMG: External]
External collections▶
Meta level tutorials
[IMG: External]
For packagers▶
Linux packages
COMMUNITY
Forum & mailing list
[IMG: External]
Blog
News
Report a bug
Submit a patch
Submit an add-on
Roadmap (on GitHub)
[IMG: External]
External links
Contributing
Code of Conduct
Contributors
SWI-Prolog items
COMMERCIAL
WIKI
Login
Edit this page
View changes
Sandbox
Wiki help
All tags
Development release
[IMG: star.gif]
Stable release
Daily builds for Windows
Browse GIT repository
[H2] Available download channels
The development version is released roughly every two to four
weeks. It is typically robust, provides the latest features and
possible issues are resolved quickly. This is the recommended version
for most users.
The stable release is infrequently updated. After an update, the
stable version receives only critical patches that are extremely
unlikely to break source or binary compatibility. The stable versions
are intended for deploying systems or other use cases that require a
fully predictable installation.
The daily releases for Windows allow users of the Windows version
to get access to the latest features or bug fixes. Users of
other platforms that want or need to stay this close to the daily
development are requested to use the GIT sources.
The GIT repository
swipl-devel.git
provides up-to-date access to the sources. Using the GIT repository
is recommended if you want to stay up to date and expecially if you
plan to develop C/C++ resources for SWI-Prolog.
See the build instructions.
[H2] Announcements and get the "latest" version
New releases are announced on
Discourse.
Scripts that wish information on the latest version can run an HTTP
GET on
https://github.com/SWI-Prolog/download/devel/swipl-latest.tar.gz
(development channel) or
https://github.com/SWI-Prolog/download/stable/swipl-latest.tar.gz
(stable channel). These URLs reply with an HTTP redirect to the
latest release tar archives.
[H2] Read more about
Available SWI-Prolog versions
Information on Linux packages and building on Linux
2826 chars
🛡️ Trust Signals — reviews, proof links, trust-theatre flag (Trust & Proof)
0Review mentions (all pages)
0External proof links (all pages)
PageReviewsProof links
/ (home) 0 0
/pldoc/man/ 0 0
/openid/login/ 0 0
/Download.html 0 0
🔗 Identity & Technical Layer — schema JSON-LD: identity chains, entity gaps (Identity & Authority)
Homepage — no schema detected (entity gap)
/pldoc/man/ — no schema detected (entity gap)
/openid/login/ — no schema detected (entity gap)
/Download.html — 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
Software, SaaS & Tech Products
33.1 Avg BS

Based on 1129 businesses audited.

BS Detector

Software, SaaS & Tech Products BS: SWI-Prolog (swi-prolog.org)

https://swi-prolog.org 📍 Industry: Software, SaaS & Tech Products
9 BS / 100

SWI-Prolog is a rare example of a high-substance, zero-bullshit technical resource. Its low score is only slightly elevated by an antiquated technical SEO structure and a lack of structured identity data. It is a tool-first site that prioritizes utility for its million users over marketing conversion.

Info Density Power-words vs. Substance ratio.
1
3% BS
Semantic Coherence Homepage promise vs. Sub-page reality.
1
5% BS
Trust & Proof Verifiable evidence vs. Trust Theatre.
1
5% BS
Commodity Fingerprint Detection of industry clichés/templates.
1
7% BS
Identity & Authority Expert verifiability & Schema depth.
5
33% BS

Implement a clear H1 tag on the homepage that explicitly identifies the software and its primary utility. Add JSON-LD Organization schema to the homepage to formally link the project to its contributors and GitHub repository. Populate meta-descriptions for all pages to reflect the high-quality technical content found within. Create a dedicated section for commercial use cases with named entities to further substantiate the real world applications claim.

The site perfectly aligns with the software and tech development industry, specifically targeting a developer and research-oriented audience. The content is focused entirely on the Prolog programming language environment, offering source code, binaries, and extensive technical documentation.

“The score of 9 is driven primarily by the Identity and Authority pillar due to a lack of modern technical SEO elements (missing H1, no schema). All other pillars scored near zero because the site is purely functional and devoid of industry-standard marketing fluff or unsubstantiated claims. The absence of semantic drift and trust theatre makes it a benchmark for high-integrity technical communication.”

Verified Analysis Date: June 19, 2026 © 1EuroSEO Independent Evaluator — Non-Sponsored Result
Brand AI Reputation