🔍 Google Penalty & Complex Adaptive Systems

There is not a single metric which can trigger a Google penalty to a website.

🤖 Machine learning technology took Google Search from a simple to a complex adaptive system.

🌐 A complex adaptive system consists of a network with hierarchies and inter-connected components.

✨ The whole system shows emergent behavior which means the patterns would be raised by the collective behavior of components.

🧠 The signals of each individual component will be based on semantics to influence the behavior and adaptation of the agents in a meaningful way.

⚙️ It makes the system complex and adaptive where simple “if and else” statements have no impact.

• ❌ “If there is a keyword used in the title tag of a web page, the relevance score will be increased X Percent.”
• ❌ “If this keyword has used too much on the page, increase the spam score Y percent.”

🎭 It results in the search engines to behave with uncertainty, and make them hybrid.

🔀 Google as a hybrid search engine works with lots of parallel conditions, features, and abilities.

⚠️ Two or three simple metrics can’t impact the decision of Google to rank or de-rank a source.

📊 There must be harmony within metrics related to the brand entity to convey signals about the website.

📌 The harmony should be in:

• 🌟 Reputation
• 🛡️ Trust signal
• 🔍 Contextual vectors
• 🎨 Web Design
• 🧱 Code structure
• ⚡ Website speed and UX
• 🧬 Every byte, pixel, and letter on the website

📡 All of them are in the complex adaptive system to trigger the final decision about a source.

🚫 This is the reason for the penalty, so do this to recover from it.

✅ These x number of metrics about a brand entity should be improved in a harmony to improve the overall quality of the website.