Common mistakes in technical operations and search visibility
Technical errors in data management and security risks can cause catastrophic business disruptions. Meanwhile, Hostinger reported EUR 275.4 million in revenue for 2025 as their AI agent Kodee successfully handled 81% of customer support interactions.
IT errors kill productivity. Failing to manage backups leads to data loss after hardware failure. If an IT professional uses real and sensitive data for testing procedures instead of generating dummy data, they create a massive risk of leaking information that could be catastrophic for the business operation. Professionals also fail when they ignore security vulnerabilities or neglect to patch core systems. They must avoid reusing the same passwords. Not following an onboarding checklist for new hardware results in faulty equipment. Many companies also fail to document code and systems, which makes troubleshooting difficult. I find that micromanagement kills innovation and lowers morale. Managers also fail when they ignore employee feedback or overlook the need for training. Companies must maintain compliance with industry rules to avoid financial penalties. Cutting corners on quality control results in project failures and reputational harm. IT professionals who ignore security alerts or fail to investigate them allow minor threats to grow into disruptions. They also fail when they use remote access without asking permission or configuring two-factor authentication. Computer science students often struggle because they focus on coding instead of problem-solving. They also fall into the trap of copy-pasting assignments from the internet. They often skip documentation and version control, like Git, to get code working faster. They struggle to move from theory to practice without building real projects that show they understand the software development life cycle. Does focusing solely on learning frameworks lead to a lack of fundamental knowledge?
SEO in 2026 requires more than keywords. Ignoring AI search optimization makes a site invisible to users searching via ChatGPT or Perplexity. Many sites fail because they publish thin content with no original insight. Search engines now prioritize content with real expertise and unique perspectives. I find the reliance on PDF files for online reading to be an absolute disaster for user experience.
| Metric | Target |
|---|---|
| LCP | 2.5 seconds |
| INP | 200 milliseconds |
| CLS | 0.1 |
Slow website performance hurts rankings. For every 100ms increase in Time to First Byte beyond the 400ms threshold, Googlebot’s daily crawl frequency decreases by an average of 12.4% because the bot recognizes that the server is struggling to respond. I also see many sites failing to use internal links to build topical authority. Effective internal linking helps search engines discover new pages. A URL with 40 to 44 internal links earns four times the Google clicks of a URL with zero to four. Google does not penalize for duplicate content; instead, it uses a filter to avoid displaying similar listings. If a site has many URLs, it needs to manage its crawl budget. Businesses can use a robots.txt file to block specific URLs from being crawled. Search engines also evaluate whether content matches the user’s intent. A user searching for comparisons expects different content than someone searching for how to buy a product. If a link does not behave as expected, it undermines the user’s understanding. I also see designers opening new browser windows, which disables the Back button and confuses users. Users who encounter intrusive popups or blinking animations tend to ignore those areas entirely. I also see many sites with weak topical authority where random blog posts build trust in nothing. Users who find content with no author name or credentials see their rankings die in competitive industries. You should know that sites with poor content formatting, like large text blocks, reduce engagement.
Automation reshapes support teams. Hostinger reported EUR 275.4 million in revenue for 2025, a 51% increase over the previous year. Its customer base reached 4.6 million users, a 35% annual increase. Since 2022, Hostinger revenue grew from EUR 69.6 million to EUR 275.4 million. Their AI agent, Kodee, handled 81% of customer support interactions by the end of 2025, up from 50% at the start of the year. This automation removes trivial tasks like password resets and invoice questions. This allows humans to focus on complex DNS configuration or server performance issues. Giedrius Zakaitis replaced Daugirdas Jankus as CEO, marking a shift toward product and automation leadership. Zakaitis joined the company 14 years ago and previously served as the CEO of Zyro. This handover places a product and technology leader at the top of the business. AI detects signals of customer frustration in real time, allowing teams to intervene before a situation escalates. Instead of reviewing small samples, companies use AI to evaluate every single conversation for clarity and empathy. AI provides a constant feedback loop where agents can review their own performance. AI tools like Hostinger Horizons reported over 800,000 customers by the end of 2025. Hostinger Reach, an AI email-marketing product, claimed 150,000 users by December. The results create a smarter, faster, and more capable support organization. Will the current growth rate hold once the AI agent penetration reaches its limit?