Two months ago, I helped a friend review his site group. The article volume was not small, with dozens of articles published daily, and Baidu indexing was normal, but the click-through rate was ridiculously low. The ranking wasn't bad—appearing on pages seven or eight or even at the tail end of the first page—but users just wouldn't click. He was puzzled himself: the content wasn't bad, the titles were written, so why wasn't anyone coming in?

This problem is actually quite common. Many people running site groups focus all their attention on quantity and indexing, neglecting the most direct funnel: click-through rate. No matter how good your ranking is, if the title and summary don't grab people, it's like writing for nothing. Today, I'll take one of his pet sites as an example and use the seo123 system to walk through the entire process of optimizing click-through rate—not just talking concepts, but actual operations.

Step 1: Use AI to batch generate articles, first solve the 'whether there is content' problem

His pet site had about twelve categories, requiring at least eight updates per day. Previously, relying on manual writing was not only costly but also made it difficult to maintain consistent style and keyword density. I directly selected 'batch generation' in the backend and filled in the category keyword matrix, such as long-tail keywords like 'reasons for cat vomiting' and 'dog food buying guide.'

Here's a detail: when many people use AI batch article generation, they write their prompts too broadly. I suggest you must add a phrase in the prompt like 'the title should include specific numbers or solutions,' for example, '5 common causes of cat vomiting and how to handle them.' This title structure naturally has more click appeal than 'What to do about cat vomiting.' This system has dozens of built-in title templates that you can directly apply, saving you from adjusting the wording each time.

As an AI content generation tool, is the quality of its output sufficient? My judgment is: for informational content like pets, lifestyle, and tools, it's perfectly fine. The articles are logically coherent, and key information has no major flaws. But if you are doing in-depth industry analysis or medical content, it's best to add a round of manual review.

Step 2: Use the multi-site management backend to adjust titles and summaries one by one

Once the articles are generated, the next step is the key. Looking at a single article, the title might seem okay, but when lined up together, you can see the problem: in the list view of the multi-site management tool, you can see pending articles from a dozen sites at once. At that time, I found his title 'Dog nail trimming tips' was too dry, so I changed it to 'Trim your dog's nails yourself? 3 bloodless tips,' and the click tendency was completely different.

This step cannot be fully automated; it requires human judgment. But the convenience of the SEO automation tool is that it integrates editing, modifying, previewing, and scheduled publishing all on the same page, without having to switch back and forth between backends. I spent about forty minutes changing the article titles and meta descriptions for the twelve sites that day. After making changes, I simply checked them in the list and prepared for the next step.

Step 3: One-click distribution and tracking feedback

After editing, just publish. The most effortless part here is one-click content distribution. You don't need to log into WordPress or other CMS separately for each site; just select the site group in the seo123 backend, click a button, and the articles are delivered. My friend used to manually publish, spending at least an hour a day on this task. Now, coming in once a week for quality checks and title optimization is enough.

Two to three weeks after publishing, we looked back at the data changes. The most significant click-through rate improvements were for articles with titles that added numbers and specific scenarios, such as 'How to stop cats from scratching the sofa' changed to 'Can the sofa still be saved? 4 ways to make cats give up scratching the sofa,' which more than doubled the click-through rate. However, some titles actually decreased after modification—for example, 'Dog food brand recommendations' changed to 'Stop buying XX brand dog food,' a rather negative title that didn't appeal to users. The lesson is that you have to test; you can't blindly apply formulas.

The boundaries of this process and who it's suitable for

Frankly speaking, this operation is not a panacea. If your site content requires legal basis, medical endorsement, or very time-sensitive news, AI batch-generated content may need more effort in fact-checking. The advantage of seo123 lies in 'click-through rate optimization at scale,' rather than producing single viral articles.

Who is suitable for this approach? My judgment is: people who have more than five sites and a daily content update volume of over ten articles. You don't need every article to be a masterpiece, but you do need every article to have someone click on it. For such users, combining AI batch article generation with manual title fine-tuning is the most cost-effective approach. If the content volume is small or the number of sites is few, there's no need to use such a tool; manual writing is more flexible.

Back to the original problem. When there is plenty of content but low click-through rates, often it's not that the content is bad, but that the titles are doing useless work. List them out, revise them, publish, watch the feedback, and then adjust again. Go through this cycle for three months, and only then will the site's traffic entry points see substantive changes.