For example one of our tasks sounds like this: “Evaluate sites from the point of view of the EEAT and YMYL algorithms.” ChatGPT in this case generates the wrong answer because it only knows the EAT model (stands for Expertise, Authoritativeness, Trustworthiness — three factors that Google uses to measure the degree of trustworthiness of a site). However, in December 2022, Google update — and adde another E (that is, experience) to the algorithm. In the candidate’s task, the second E was missing – that’s a factual error. Important ! Chat also has a number of weaknesses.
This is a necessary component
Here they are The main body of data was collecte until the end of 2021 , so the information in the responses to requests may be out of date. Sometimes ChatGPT generates false information and doesn’t tell you about it until you ask directly. Sometimes ChatGPT links to statistics and sources, but if you follow the link, it turns out that it is either Estonia Phone Number List very outdate or never existe. ChatGPT is good at giving vague descriptions and definitions, but rarely provides real details. Chat is not able to create content base on experience or in-depth knowlege of the topic. And of content standards for search engines . The neural network simply combines not generate unique content by itself — and this is another ” re flag ” for Google.
Already available information and does
We ran the same query several times and receive almost the same text, which was identifie as material with a high percentage of originality. If many AERO Leads companies start using similar texts, Google will probably pessimize all such content., it’s important to communicate how you can use ChatGPT in your work. It is not suitable for generating content from scratch, and if it is abuse, the material may fall under Google Update and fall lower in the ranking.
