u/Marin-Popov

I'm sharing this here as it relates to the transparency of automated decisions affecting digital rights in the EU.

On 15 August 2026, a new EU policy proposal was submitted: The Ranking Restriction Information Right (RRIR).

The proposal asks whether, when an automated system materially restricts the visibility of a website or information source, the affected website owner should be informed that the restriction occurred and given a general category of the reason.

The proposal does not seek disclosure of proprietary algorithms, ranking signals, thresholds or anti-spam mechanisms.

Submitted to: European Commission, European Parliament (PETI and IMCO), Coimisiún na Meán (Ireland), and CNMC (Spain).

Submitted by: Marin Popov

Read the full proposal: https://1euroseo.com/wp-content/uploads/2026/08/The-Ranking-Restriction-Information-Right-Version-1.0-15-August-2026.pdf

Sometimes we need just a little push - a look at a business from a perspective we haven't considered to be able to get again on track.

I already have in place the Intelligence Engine of the Business Strategy, so I decided to give a piece of its insights for free. That was the idea behind the Business Fortune Cookies.

There is no magic involved. The randomness is actually quite simple: instead of deciding which part of a business should be analysed, I let AI choose one.

But the analysis itself is not random. It follows the same structural hierarchy as my full audits:

Business Knowledge
↓
Evidence Engineering
↓
AI Reasoning
↓
Business Intelligence

 

1. The Business Diagnostic Atlas (Knowledge)

The engine is built on the Business Diagnostic Atlas. This is a strategic knowledge base containing 14 distinct diagnostic categories and hundreds of specific business problems. Each category represents a different perspective - from Brand Positioning to Competitive Moats. The Atlas contains the patterns and contradictions the engine is trained to identify.

Here in the Business Diagnostic Atlas Knowledge Index you can see for FREE all problematic patterns that can ruin your business:

https://1euroseo.com/business-diagnostic-atlas/knowledge-index/

2. From Information to Evidence

The system doesn't just "read" your website. It performs Evidence Engineering. It collects the information communicated by your digital presence and transforms it into a structured set of evidence. The goal is to strip away the marketing claims and identify the actual strategic signals and friction points in the business.

3. Reasoning vs. Opinion

Most AI tools just ask for an opinion. This system does not. The Intelligence Engine takes the engineered evidence, applies the relevant business knowledge from the Atlas, and reasons over that combination. It is a logic-driven diagnosis rather than a generic summary.

If curious, the 1 Euro SEO Intelligence Engine logic is explained here:

https://1euroseo.com/the-1-euro-seo-intelligence-engine/

4. The "Fortune" is the Choice, not the Result

The only random part of the Fortune Cookie is the selection of the perspective.

You enter a domain, and the AI takes a quick look at the business to randomly select one of the 14 diagnostic perspectives. Once that choice is made, the randomness ends. The system then runs the full diagnostic logic for that specific slice.

If the system selects Brand Positioning, you get a specific audit that includes:

• The Score for that category.
• Comparison benchmarks with other businesses.
• Strategic Diagnosis of the underlying friction.
• Recommendations and potential business impact.

Why I made it random

When we analyse our own businesses, we usually decide what we want to look at. We bring our own assumptions and suspected problems to the table. We ask the questions we already have the answers to.

Sometimes it is useful to let something else choose the question.

You get one perspective. One piece of the Intelligence Engine. One free audit. And you may discover a problem you weren't actually looking for.

The Business Fortune Cookies are here:
https://1euroseo.com/fortunes/

 

The Intelligence Engine behind it:
https://1euroseo.com/the-1-euro-seo-intelligence-engine/

The Business Diagnostic Atlas Knowledge Index:

https://1euroseo.com/business-diagnostic-atlas/knowledge-index/

Can AI tell you what a business actually is — rather than simply repeating what the business says it is?

·        Every company has a value proposition.

·        Every company describes its services.

·        Every company tells you why you should trust it.

But when you strip away the company's own claims and look at its web presence as evidence, the picture can be quite different.

So, I built the Business BS Detector.

You can put in any business website and get an independent AI assessment of how that business presents itself — including its value proposition, positioning, differentiation, strategic weaknesses and the kind of friction its messaging may create for potential customers.

Use cases:

You're considering hiring an agency.
You're considering buying a service.
You're comparing competitors.
You want to understand a company before you trust its claims.

Run the company through the detector and see what comes back.

It is free and without signup because I want to help people make better decisions.

The system is part of the larger 1 Euro SEO Intelligence Engine, which I've been building to turn business and web information into something AI can evaluate systematically rather than just generate generic summaries.

Some of the results are surprisingly uncomfortable — including when the business being analysed is my own.

The tool is here:

https://1euroseo.com/bs-indicator/

Try it on a business you know well, or one you're thinking of using, and see what the AI finds.

Additional/technical information:
It’s a multi-layered system because AI alone is often too "nice" or generic. Here is the logic:

1.      First is the Deterministic Layer (I also built a Chrome Extension based only on it):

https://1euroseo.com/bs-indicator-chrome-extension/. It doesn't use AI. It uses only code to scan for "BS markers" like the ratio of power-words to technical nouns and whether trust statements are actually linked to proof.

2.      Forensic Logic (includes 5 Pillars): The AI engine evaluates:

• Information Density: Concrete nouns vs. vague adjectives.
• Trust Theatre: Verifying if social proof is linked or just "staged."
• Identity & Authority: Checking Schema/Structured data for verifiable entities.
• Semantic Coherence: Does the homepage promise match the deep service pages?
• Commodity Fingerprint: Identifying generic clichés and template-heavy copy.

 

The "Behind the Curtain" Logic:

If you want to see the specific logic and the data used in each audit, u can do so on https://understandbusinesslikeai.com/. It shows the raw information the system uses to interpret business signals. You can try scoring by yourself using it and compare to the AI opinion.

The goal is to move toward "Forensic AI" that evaluates evidence rather than just "Generative AI" that repeats marketing claims.