This paper shares the entire process of using the n8n to build an ai workflow to optimize the seo strategy, allowing ai to play a “military division” first to develop a strategy, then produce high-quality content, and eventually achieve the goal of enhancing google traffic and liquidity on the website。
Yesterday's gemini cli went online, an ai programming tool that could be used almost unlimitedly and free of charge by gemini 2. 5pro, and it's hard to keep people moving。
So when i went to install it, i found out it was still a toy。
Not even a toy, i made it a website, ran for 20 minutes, didn't even start the project, stuck it in the creation of the folder -- creation of the project -- blundering -- deleting the re-emerging cycle, let alone comparing it to cursor。
So if you're too busy to catch gemini cli, it doesn't matter. You can just read the figure below and get information。
I stepped on it for you. Let's be honest about what to do. I continue to share n8n of practical dry goods。
Two times before the book:
This issue continues to share the use of n8n as a seo, after all, getting traffic from google is almost the end of most of the offshore websites/tools
At the beginning of the year, i made an ai programming tool for a navigation website, and i was going to go up there and pick up google ads and make dollars:
Https://www. Aicoding. Help/cn
This is still the operational context for further optimization of the web site
01 from completion to results
In the previous article, we had made it through a n8n workflow, from submitting websites, automaps to ai generation presentations, which were eventually stored in supabThe entire process of the base database. Functionally, the automated workflow did free my hands and a series of operational clouds。
However, the task is not to “finish” but to “result”。
This “outcome”, for a website that wants to make money on google ads, is the seo effect. I checked the previous ai-generated content and found that although there was, it was not of high quality. It simply gives a simple description of the website function, and it is difficult to get a good ranking in google searches。
At first, i was thinking about the old seo optimization strategy: in the title, mThere's a lot of keywords in the description, a lot of emphasis in the text, and a little extra chain
After a run-off, it became apparent that the skill-level optimization was too superficial. Even if the keyword density went up a little bit, google would not look good because the page content itself was so simple, the user had to come in with no taste and the rate of jump must be high。
So i changed my mind, and i couldn't pursue this ubiquitous optimization. In-depth excavation of content must be targeted and tailored to specific thematic characteristics。
I need to combine marketing thinking, starting with results, thinking backwards: what is the location of this site? Who is its target user? What are the key words they're searching for? What did my competitor say? What else do you have to say about hot traffic
To put it simply, i need to get ai to be my "master" and give me a custom version of the seo content policy guide。
Along those lines, my new needs are clear。
02 demand dismantling
I need to re-engineer the work stream before creating content, and add a "seo generation strategy" to that。
The whole process is broken down like this:
Enter a tool/theme (e. G. Cursor)
The original process was a description of a website, so this is also the starting point for a new process。
2. Generating the seo content strategy guide
Let ai play the role of seo expert, analyse the subject and output a strategy report containing:
First step: decomposition and preliminary analysis (deco)I don't know what you're talking about
At the heart of this step is a thorough understanding of the tools or websites that we want to promote:
1.** functional analysis**: what does this tool solve
2.** user value**: why should users use it
3.** use scenario**: under what circumstances
4.** competitive advantages**: what are the characteristics of the same product
Step 2: target audience and search intent analysis (audience & search intent analysis)
This is the most critical step to make clear:
** who will search for this keyword? **
- developer? Product manager? Entrepreneur
- a rookie or an experienced user
- business users or individual users
**what's their search intentions
-info search: what is it
- navigational search: trying to find a specific website
- trade-type search: want to use or buy
- business research: to compare choice
Step #3: keyword research & mapping here is a full-blown excavation of keywords:
** core keyword**
- the name of the tool itself
- main functional terms
** functional/issue-oriented keywords (problem/feature keywords)**
- "how..."
- "best..."
- "free..."
**long-tail keywords**
- specific use of scene description
- comparative keywords
**lsi/ semantics-related terms (semantic keywords)**
- the relevant technology
- the name of the relevant tool
Step four: competor analysis & coI don't know what you're talking about
Find content gap (co){\chffffff}{\ch00ff00} and opportunities for differentiation. Thinking: our goal is not to write another one, but to write the ultimate guide. The best and most comprehensive resources that users can find under this topic。
Competing analysis table
Step five: develop a content strategy and outlineI don't know
Based on the preceding analysis, specific content creation strategies are developed。
3. Generate specific articles based on the strategy guide
The policy guide that was generated as a first step was given to another ai as a context to perform as a content writer and produce quality, seo-friendly articles。
4. (optional) de-ai processing
A lot of practice has shown that google is not anti-ai, but anti-negative content, so this is not necessarily an ai taste。
But if you want to go to the second level of insurance against the ai content test, you can go one more step and let ai do it in a more natural, more human language style。
Update to database
Here you go back to the original process: optimize the final generation title, mEta description, article body, etc. Updated to supabA base database。
Get the process straight and open the door
03 n8 n works
It's a modified workflow, the core of which is to split a simple ai node into two series of ai agent nodes。
