AI Offers Faster Way to Diagnose Website Migration Problems
Ever felt that heart-stopping moment after a website migration, desperately trying to figure out what went wrong and *where*? It’s a common headache, but Ludwig Makhyan offers a really interesting approach to speed up the detective work.
Leveraging AI for Data Analysis
Essentially, Makhyan suggests leveraging AI, specifically tools like ChatGPT, to quickly sift through the mountains of data involved in a site move. Think about comparing your old website crawl data with the new one, checking server logs, or looking at Google Search Console information before and after the switch. Normally, this takes ages for a human to do properly.
Makhyan’s method involves feeding this pre- and post-migration data into ChatGPT with specific instructions. You can ask it to compare lists of URLs to spot missing pages or bad redirects (like those pesky 404 errors or redirect loops). You can have it check if important things like page titles, meta descriptions, or heading tags changed unexpectedly. It can even help analyze shifts in page content itself.
A Consultant’s Perspective
From my perspective as a consultant, this is a clever use of AI to handle the grunt work. Migrations are incredibly stressful, and anything that helps identify critical issues faster is a huge win. It means less downtime, less lost traffic, and fewer sleepless nights.
While AI won’t catch *everything* and you still need smart human oversight, using it as Makhyan describes could drastically cut down the time spent pinpointing problems that could sink your rankings. It turns a potentially week-long investigation into something much more manageable.
Learning the Specific Techniques
But how exactly do you prompt the AI for these specific tasks? What data formats work best?
For the nitty-gritty details and the exact prompts Makhyan recommends, you really should dive into his full explanation. Find out precisely how to use AI to spot website migration problems by reading Ludwig Makhyan’s guide on Search Engine Journal.