用 Zapier 兩分鐘3個Keywords找40頁資料,給 Gemini 引用寫 SEO 千字文

阿石OMP
1 Apr 202414:50

Summary

TLDRThe video script details a content creation process using Gemini 1.5 Pro, an AI tool with a 1 million token limit, currently available for free. The creator emphasizes the importance of thorough research, which is facilitated by Zapier for automated data collection. The video demonstrates writing an SEO article on Tesla's self-driving technology, comparing it with competitors like Waymo and others. The process involves creating an outline, writing sections iteratively, and ensuring references to the provided data. The script highlights the tool's strengths, such as its token capacity and free access, but also notes issues like occasional disobedience to commands, slow speed, and formatting inaccuracies. The creator suggests that for SEO articles, Claude 3 might be a better option due to its 200,000 token limit being sufficient for most needs. The video concludes with an invitation to a workshop on automating content creation processes to save time and improve efficiency in writing high-quality, helpful content.

Takeaways

  • 📝 The video demonstrates using Gemini 1.5 Pro, an AI with a 1 million token capacity, for writing SEO articles, emphasizing the importance of thorough research before writing.
  • 🌐 For local content, use the local language for research, but for global topics like health information, English is preferred due to its richer information resources.
  • 🔍 The presenter uses Zapier for automated data collection based on different keywords, which are then compiled into Google Docs for article framework creation.
  • 🚀 The article's subject is Tesla's Full Self-Driving (FSD) technology, and the process includes comparing Tesla with other autonomous driving companies like Waymo.
  • 📈 Gemini 1.5 Pro's large token capacity allows for extensive reference material, but the presenter found some issues with following instructions and formatting.
  • 🤖 The AI sometimes defaults to simplified Chinese characters and does not always follow the user's formatting requests, such as using Markdown or maintaining English for specific terms.
  • ⏱️ The AI's response time can be slow, with some outputs taking nearly four minutes to generate.
  • 🆓 Gemini 1.5 Pro is currently free to use, which is a significant advantage for content creators on a budget.
  • 📉 Despite its capabilities, the presenter suggests that Claude 3 might be more suitable for SEO article writing due to its sufficient token limit and better adherence to instructions.
  • 🔄 The process of manually collecting data and creating an article framework is time-consuming, but the presenter offers a workshop to teach automation of this process using Zapier.
  • ✍️ The presenter emphasizes the importance of writing high-quality, helpful content rather than producing content for the sake of quantity, aligning with Google's current algorithm preferences.

Q & A

  • What is the primary focus of the video script?

    -The video script primarily focuses on the process of writing SEO articles using an AI tool called Gemini 1.5 Pro, which has a token limit of 1 million, and the utilization of Zapier for automated data collection.

  • Why is Gemini 1.5 Pro currently free to use?

    -The script does not specify the exact reason why Gemini 1.5 Pro is free at the moment, but it implies that it might be a promotional offer or a trial period.

  • What is the significance of using a VPN for users from Hong Kong?

    -The use of a VPN for users from Hong Kong is significant because it may be required to access certain services or bypass regional restrictions that could prevent them from using Gemini 1.5 Pro.

  • Why is data collection considered the most time-consuming part of writing SEO articles?

    -Data collection is considered the most time-consuming part of writing SEO articles because it involves researching and gathering information from various sources, which is crucial for creating informative and relevant content.

  • How does the speaker use Zapier for data collection?

    -The speaker uses Zapier to automate the data collection process by setting up an automation that retrieves information from eight websites based on different keywords and compiles the data into Google Docs.

  • What is the purpose of using different keywords for data collection?

    -Using different keywords for data collection allows the speaker to gather a wide range of information from various sources, which can then be used to create a comprehensive and well-informed article.

  • Why does the speaker mention the importance of knowing the local regulations when writing about immigration?

    -The importance of knowing local regulations when writing about immigration is mentioned because it ensures that the content is relevant and accurate for the target audience, which in this case is assumed to be local readers.

  • What is the advantage of using English for data collection when the information is globally applicable?

    -The advantage of using English for data collection when the information is globally applicable is that English-language sources are often more abundant and can provide a broader range of information.

  • How does the speaker ensure that the AI tool, Gemini 1.5 Pro, uses the provided data for the article?

    -The speaker ensures that Gemini 1.5 Pro uses the provided data by instructing it to reference the given data in the article and to specify which website each piece of information is sourced from.

  • What is the issue the speaker encounters with Google Docs when it contains too much text?

    -The issue encountered with Google Docs when it contains too much text is that Zapier seems to experience errors, possibly due to a character limit in the Google Docs API.

  • Why does the speaker perform a 'needle in a haystack' test on Gemini 1.5 Pro?

    -The speaker performs a 'needle in a haystack' test to assess Gemini 1.5 Pro's ability to recall and find specific information within a large volume of text, which is crucial for ensuring the AI's reliability in handling extensive data.

  • What is the speaker's final recommendation for writing SEO articles?

    -The speaker's final recommendation for writing SEO articles is to use Claude 3, which has a 200,000 token limit, as it is deemed sufficient for the task and provides better adherence to instructions and faster response times compared to Gemini 1.5 Pro.

Outlines

00:00

🔍 Automating SEO Article Writing with Gemini 1.5 Pro

The speaker discusses their experience using Gemini 1.5 Pro, a tool with a 1 million token capacity, for writing SEO articles. They highlight the importance of data collection in the article writing process, which they automate using Zapier. The focus is on writing about Tesla's self-driving technology, and the process includes comparing Tesla with Waymo, another self-driving company. The speaker also tests Gemini's recall capabilities and addresses the issue of handling large amounts of text in Google Docs.

05:02

📝 Crafting an Article Outline and Ensuring Data Accuracy

The speaker outlines their approach to creating an article outline based on the collected data and instructs the AI to reference the provided material. They emphasize the need to ensure that the AI's writing is based on the latest data and not outdated internal knowledge. The article's focus is on the breakthroughs in Tesla's autopilot technology, and the speaker checks the AI's references for accuracy. They also discuss the challenges of writing in different languages and the importance of including various competitors in the article for a comprehensive comparison.

10:03

🚀 Writing the Article and Testing Gemini's Capabilities

The speaker proceeds to write the article, instructing the AI to write each chapter sequentially while avoiding conclusions due to the article's incomplete status. They mention the process of copying completed sections to Google Docs for safekeeping. The speaker also addresses issues with the AI's adherence to instructions, such as using English for specific technical terms and formatting the output in Markdown. They conclude with their thoughts on using Gemini 1.5 Pro for SEO article writing, comparing it with Claude 3, and suggest that while AI and automation tools are valuable, they should be used to enhance the quality of content rather than for content farming.

Mindmap

Keywords

💡SEO

SEO stands for Search Engine Optimization, which is the process of improving the visibility of a website or a piece of content on search engine results pages through optimization techniques. In the video, the creator discusses using AI to write SEO articles, emphasizing the importance of data collection and the creation of a structured article framework to ensure the content is optimized for search engines.

💡Gemini 1.5 Pro

Gemini 1.5 Pro is an AI tool mentioned in the video that is capable of handling up to 1 million tokens, which is significant for processing large amounts of text data. The video creator uses this tool to write an article about Tesla's self-driving technology, highlighting its capacity to manage extensive content and data collection.

💡VPN

A VPN, or Virtual Private Network, is a service that allows users to establish a secure and private connection over the internet. It is mentioned in the context of accessing certain tools or websites that might be restricted in certain regions, such as Hong Kong, where the use of a VPN is necessary to bypass such restrictions.

💡Zapier

Zapier is an online automation tool that connects various web applications to automate tasks without coding. In the video, the creator uses Zapier to automate the data collection process for writing an article, demonstrating how it can fetch information from different websites based on specific keywords, which is crucial for the research phase of content creation.

💡Tesla FSD (Full Self-Driving)

Tesla FSD refers to Tesla's Full Self-Driving technology, which is an autonomous driving system developed by Tesla. The video's main theme revolves around writing an article about this technology, comparing it with other companies' self-driving technologies, and discussing its advancements and competitive advantages.

💡End-to-end Neural Network

An end-to-end neural network is a type of artificial neural network where input is fed forward through the layers of the network only, and the output is computed without any manual feature engineering. In the context of the video, it is mentioned as the latest technology used by Tesla in their self-driving systems, emphasizing the cutting-edge nature of Tesla's approach.

💡Waymo

Waymo is a company that specializes in autonomous driving technology and is owned by Alphabet Inc. (Google's parent company). In the video, Waymo is used as a point of comparison to Tesla's self-driving technology, highlighting the competitive landscape in the autonomous vehicle industry.

💡Content Research

Content research is the process of gathering and analyzing information relevant to a particular topic to create informed and valuable content. The video demonstrates the importance of this step in the article writing process, showing how the creator uses various tools and methods to collect data that will be used to write an in-depth article about Tesla's technology.

💡Markdown

Markdown is a lightweight markup language used for formatting text. In the video, the creator instructs the AI to output the article in Markdown format, which allows for easy conversion to HTML and integration into a website, such as a WordPress blog, for publishing.

💡Token

In the context of AI and natural language processing, a token refers to a unit of text, such as a word or a punctuation mark, that is processed by the AI. The video mentions 'tokens' in relation to the AI's capacity to handle large amounts of text, with Gemini 1.5 Pro being able to process up to 1 million tokens, indicating its ability to manage extensive text data.

💡Helpful Content

Helpful content is a term used by Google to describe content that is useful, informative, and meets the needs of users. The video touches on the importance of creating high-quality, helpful content rather than merely focusing on keyword stuffing or producing large volumes of low-quality content for the sake of search engine rankings.

Highlights

The presenter used Claude for SEO article writing in the previous video and switched to Gemini 1.5 Pro with 1 million tokens for this session.

Gemini 1.5 Pro is currently free to use, but a VPN is required for users from Hong Kong.

For SEO article writing, data collection is the most time-consuming part, not the actual writing.

The presenter uses Zapier for automated data collection based on different keywords.

The example topic discussed is Tesla's autonomous driving technology.

The importance of using the appropriate language for data collection based on the target audience's location is emphasized.

Zapier is set up to return information from eight websites for each keyword entered.

The presenter encountered an issue with Google Docs when too much text is present, possibly due to API character limits.

Gemini 1.5 Pro's recall ability is tested by finding a hidden piece of information within a large text.

Google AI Studio is used to upload documents and connect with Google Drive for content research.

The presenter found that Gemini 1.5 Pro's recall ability is average but functional.

The article's outline is created with specific sections and references to the websites used for data collection.

The presenter checks the accuracy of the references provided by Gemini 1.5 Pro to ensure data integrity.

A significant issue occurred when a link opened did not record the previous data, requiring a restart of the process.

The presenter instructs Gemini 1.5 Pro to write the article in Traditional Chinese with specific technical terms in English.

The article's framework includes an introduction to Tesla Autopilot, its version 12 update, and a comparison with Waymo and other competitors.

The presenter asks Gemini 1.5 Pro to identify other competitors to Tesla, besides Waymo, for inclusion in the article.

Gemini 1.5 Pro lists additional competitors, and the presenter adjusts the article's framework accordingly.

The presenter emphasizes Tesla's unique advantages, such as vertical integration and not relying on LIDAR or high-precision maps.

The presenter prefers to write the article in sections rather than all at once for better content quality.

Gemini 1.5 Pro's performance is evaluated, noting its large token capacity, free usage, and some limitations in following instructions and speed.

The presenter suggests using Claude 3 for SEO article writing due to its sufficient token limit and better adherence to instructions.

The presenter highlights the importance of creating helpful content over content farming and invites viewers to a workshop for learning automated processes.

Transcripts

play00:00

在上次影片我試用了 Claude 來寫 SEO 文章

play00:04

今次就會試用有 100 萬 token 的 Gemini 1.5 Pro

play00:09

這一刻來說是免費使用的

play00:12

如果你是來自香港的朋友

play00:14

你需要用 VPN

play00:16

還有如果你見到它彈出來說有 Waiting List 的話

play00:20

你記得即時按進去留下那個 Email

play00:23

上次影片提過寫 SEO 文章最花時間其實不是寫那一刻

play00:27

是做資料蒐集那一刻

play00:30

所以這次影片你會見到我真實寫文章的流程

play00:34

第一個步驟就是配合自動化工具 Zapier 去做資料蒐集

play00:38

第二就是基於那個資料去寫文章的框架

play00:42

然後修改它的框架

play00:43

第三就是基於修改了的框架再逐一去寫

play00:47

第一個步驟就是配合自動化的流程去做內容的資料蒐集

play00:52

我這次的例子是會寫 Tesla 無人駕駛的技術

play00:57

如果你寫的內容是針對本地性的

play01:01

例如你寫移民

play01:03

移民的話你要知道本地的法規

play01:06

這個時候你就應該用回中文去做資料蒐集

play01:10

但是如果你寫的資訊是全球通用的

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舉個例子:健康資訊

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如西方人和東方人

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他們的健康資訊都一樣的話

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其實你可以用英文來做資料蒐集

play01:21

因為英文的資訊通常來說是比較豐富的

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在右上角這裡我就設定了一個 Zapier 的 Automation

play01:28

去做資料蒐集

play01:30

我每次輸入一個 Keyword 之後

play01:32

它就會回傳八個網站的資料

play01:35

放進Google Docs 裡面

play01:37

用這個工具的好處就是

play01:39

我可以分開輸入不同的 Keyword

play01:41

它就會根據不同的 Keyword

play01:43

去找不同網站的資訊回來

play01:45

我第一個要做資料蒐集的字詞就是

play01:48

Tesla FSD How it works

play01:51

FSD 即是 Full Self Driving

play01:54

即是全自動駕駛

play01:55

現在你看到

play01:56

大概用了五秒的時間

play01:58

它現在就找了八個網站的資訊

play02:00

總共是33頁

play02:03

但是單憑這一個字的資料是不夠的

play02:06

在這裡我再輸入另一個字

play02:08

就是 Tesla FSD 和 Waymo 的分別

play02:12

Waymo 是另外一家做自動駕駛的公司

play02:16

它後來被 Google 收購了

play02:18

Waymo 那輛自動駕駛的車

play02:19

其實現在在美國已經在運行中

play02:22

所以在這篇內容文章裡面

play02:24

我想有一部分是比較 Tesla 和 Waymo 這家公司

play02:29

所以你會發現寫一些有深度的文章

play02:31

前提是寫那個人

play02:34

即是你自己本身對這件事也有一定的知識

play02:37

現在你看到的資料已經去到四十頁

play02:41

Gemini 1.5 Pro 可以支援100萬的 token

play02:44

我就不擔心太多字

play02:45

我繼續放不同的關鍵字進去做資料蒐集

play02:49

我知道最新的 Tesla 無人駕駛技術

play02:52

是用了一個技術

play02:54

叫做 End-to-end Neural Network

play02:56

我還想把最新的資訊都放在這篇文章上

play02:59

所以我現在再增加一個 keyword

play03:01

就是 Tesla End-to-end Neural Network

play03:04

在這裡我發現了一個小問題

play03:06

就是當 Google Docs 裡面存在太多字的時候

play03:11

Zapier 看來是會有些 error

play03:13

我初步懷疑

play03:14

可能是 Google Docs API 那邊是有字數的上限

play03:18

但是不要緊

play03:19

最後的資料蒐集我就人手把資訊放進去

play03:22

在正式寫文章之前

play03:24

我先測試一下Gemini 回想的能力

play03:27

因為之前很多 LLM

play03:29

雖然可以給你提供很多文字

play03:31

但是你給它太多字它是會失憶的

play03:33

所以在這裡

play03:34

我做一個叫做大海撈針測試

play03:37

就是在這篇這麼多字的文章裡面

play03:39

中間藏了一個資訊

play03:41

在這裡

play03:42

我藏了一個資訊就是說

play03:44

Shek 的 Email 是 123Shekmail.com

play03:50

等一下我就會問它Shek 的 Email 是什麼

play03:53

看看它會不會找到這個資訊出來

play03:55

現在我就進入到 Google 的 AI Studio

play03:58

在左上角

play04:00

你可以上傳一個檔案

play04:01

或者直接在你的 Google Drive 拿檔案出來

play04:04

由於剛才我儲存 Content Research 的時候

play04:07

本身已經是 Google Docs 了

play04:09

所以我可以直接連結我的 Google Drive

play04:11

然後

play04:12

就找回我剛才 Research 的文件

play04:16

選取然後按 Insert

play04:18

左下角你會看到

play04:20

這個 Content Research 的文章

play04:22

是佔用了四萬六千多個 token

play04:25

在這裡我就測試一下它

play04:26

我現在就問它Shek 的 Email 是什麼

play04:29

就叫它在文件裡面找

play04:31

右下角你會看到那個時間在數

play04:34

你的感覺會是很久的

play04:36

是因為你用出 GPT 的時候

play04:38

它是會逐個字逐個字這樣登出來

play04:41

你會覺得它好像在做事情

play04:43

在 Gemini 裡面它沒有做到這個功能

play04:45

這個功能其實叫 Streaming

play04:46

它沒有 Streaming 這個功能

play04:48

所以你的感覺是會很久的

play04:50

我試了兩次才成功的

play04:52

第一次它不成功

play04:54

第二次我試一下在 Email 上下加一個 Enter

play04:57

就是分開這個文章的內容

play04:59

按 Enter 之後

play05:01

它就成功找到這個 Email

play05:04

所以暫時來說

play05:06

它的回上能力的表現

play05:08

算是中規中矩

play05:09

現在我就正式要去寫文章了

play05:12

在這裡我就跟它說

play05:13

我給你的 Content Research 是包含了來自不同網站的資料蒐集

play05:17

你需要引用我給你的資料去寫文章

play05:21

現在先看到一個 Outline

play05:24

裡面是要包含不同的章節

play05:25

以及每個章節

play05:26

是要註明你引用了哪一個網站

play05:30

因為我想確保它寫的資料是在引用我給它的資料

play05:34

而不是它內置的知識亂寫

play05:36

因為我相信它內置的知識是沒有最新

play05:39

Tesla 無人駕駛技術的資料的

play05:41

在這裡我要補充我的題目是什麼

play05:44

這篇文章的標題就是

play05:45

Tesla 自動駕駛技術的突破

play05:47

我發現不是感覺很久

play05:49

是真的很久

play05:51

在這裡它就寫了一個 Outline 出來

play05:53

但是可能我之前說得不清楚

play05:55

它就變成了半中半英

play05:57

之後我就要跟它說變回中文

play06:00

我首先檢查一下它提供的參考資料是否正確

play06:05

因為有機會它會亂寫

play06:07

我首先打開鏈接看看是否真的有這條鏈接

play06:10

是真的有這個網站

play06:11

我現在複製這條鏈接

play06:13

回到我那個資料蒐集的文章裡面

play06:16

然後按 Ctrl F 搜尋資料

play06:18

你會看到這條鏈接是真的存在在文章裡面

play06:21

但是在這裡發生了一個很大的問題

play06:24

大家千萬不要重蹈我的覆轍

play06:27

就是當你打開了這條鏈接之後

play06:29

它竟然不是開新頁面

play06:30

而當它開了這個頁面之後

play06:32

我按上一頁的時候

play06:34

剛才的資料是完全沒有了

play06:37

它是沒有自動記錄的

play06:39

所以我又要重新來過

play06:40

重新來過的時候我就說清楚了

play06:43

我是要繁體中文寫

play06:44

一些專有名詞

play06:46

例如 Tesla、End to end

play06:48

這些字眼就是保留用英文的

play06:51

接著看看它的文章框架如何

play06:54

Tesla Autopilot

play06:55

這個名詞用英文

play06:57

就是簡介 Tesla 是什麼功能

play06:58

第二就是 Version 12 的重大更新

play07:01

沒錯了

play07:01

因為 Version 12 它的技術是不同了

play07:03

它是用一個 End to End

play07:05

Neural Network 的技術

play07:07

說它有什麼優勢和挑戰

play07:10

第四章就是

play07:11

這是我需要的

play07:12

就是 Tesla 和 Waymo

play07:14

就是另一家公司

play07:15

它們有什麼分別

play07:17

其實整個文章大綱都大概滿意了

play07:20

但是我想看看

play07:22

除了 Waymo 之外

play07:24

還有沒有其他公司可以跟 Tesla 競爭

play07:27

而由於我自己也沒有認真看過

play07:29

Content Research 的內容

play07:30

所以在這裡我先問一問它

play07:32

就是除了 Waymo

play07:34

還有否其他競爭對手

play07:37

在我給你的資料中搜尋

play07:41

如果它在我給它的資料裡面

play07:43

找到 Waymo 以外的對手

play07:45

我就會叫它加進去這個文章裡面

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如果找不到就算了

play07:49

在這裡它列出了另外那五個

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當中有幾個我都聽過的

play07:53

例如 Mobileyes

play07:55

它是被 Intel 收購了

play07:57

在這裡看到有一點點問題的

play07:59

就是它有時候會出了簡體字

play08:01

在這裡我就會改了第四章的題目

play08:05

因為第四章原本是 Tesla 跟 Waymo 比較

play08:08

我就會叫它 Tesla 跟所有其他的競爭對手比較

play08:12

第四章改成 Tesla 跟所有競爭對手比較

play08:17

通常一篇好看的文章是有觀點的

play08:20

所以在這裡我加一些觀點進去

play08:22

面要特別提及 Tesla 最大優勢

play08:26

重新更新你的文章框架

play08:29

在這裡它就更新了第四章

play08:31

看一看內容

play08:33

方向正確了

play08:34

因為其他車廠是依賴光達

play08:37

以及一個高精地圖

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就是說大部分現在自動駕駛的的士

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他只可以在固定的路線走

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他離開了那條路線就不懂得自動駕駛了

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這就是跟 Tesla 最大的分別

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以及 Tesla 最大的優勢就是垂直整合

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他們由硬件軟件自己去設計和組裝

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所以穩定性是比較高的

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這都寫出我心目中的內容

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以及他也引用了一些相關的網址出來

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訂好了框架之後

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就可以叫他逐段寫

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之前我影片提過

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你可以叫他一次寫完

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但我發現

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你一次叫他寫完五個章節的內容

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整體來說文字是比較少的

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所以我傾向叫他逐章去寫

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現在在這裡我就給他指示

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現在基於更新的文章框架

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寫第一章

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使用繁體中文

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要引用我給你的內容

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保留細節

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名詞保留用英文

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在左下角這裡

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你是會看到現在用了多少 token

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至今輸入和輸出的 token

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現在大概是用了四萬八千

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而上限是一百萬

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就是說現在我只是用了他當中四至五%

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在這裡他就寫了第一章

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以及他引用了一些資料來源

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但是有一個做得不夠好的地方

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就是他寫了一個總結

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我接下來就試一下

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叫他寫第二章

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但是叫他不要給總結

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我改善一下我的Prompt

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現在我就跟他說

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基於文章框架寫第二章

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由於文章未完結

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不要做總結

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與此同時

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第一章完成了的部分

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我可以先 copy 到Google Docs 裡面

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先儲存著

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第二章也寫完了

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十分之搞笑

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他在尾端加了一個待續的字進去

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因為剛才我跟他說未完結

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不要做總結

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在這裡有一個專有名詞

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叫端對端學習

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中文是十分之難理解的

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當然你可以人手改

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但是你也可以提他

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就是端對端學習

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保留用英文

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然後就叫他

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基於文章框架的第三章開始去寫

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接下來就寫第四章

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第四章的內容是比較多的

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因為比較特斯拉和其他競爭對手的分別

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他寫出來的內容有提及到其他競爭對手的名稱

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但在內文裡面

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他沒有很仔細寫到他對手的技術

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可能是我給他的資料不夠

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所以之後我可以翻手

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再找資料

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再給他重寫這一部分

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在現在這個示範裡面

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我先完成最後的章節

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最後我做一個測試

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就是我叫他把剛才分開寫的五個章節的內容

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混合一次給我

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而且是需要用一個Markdown的格式

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Markdown的格式就是

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如果是十字前面就是兩個井

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如果是粗體字的話就給兩個星

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就是和大家平時在WhatsApp裡面做粗體字的格式是一樣的

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因為如果他出版到這個格式的話

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我就可以透過網上的一些免費工具

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很方便地轉去做一個HTML格式

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然後再複製到我的WordPress裡面

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現在已經運行了超過三分鐘

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還在錄製

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現在看看他出版出來的結果

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是一般的

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第一Markdown的格式他做得不好

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他當中有部分粗體字是做到的

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但是那個十字前面就沒有做到

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第二就是

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編文章總共有五張

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他寫到第四章就沒有了

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來到這裡很快分享一下我使用Geminal 1.5 Pro的感想

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他最大的好處就是有100萬Token

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所以你可以給很多參考資料去寫文章

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但是我相信很多人都用不著100萬Token這麼多

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第二個好處當然是這一刻來講是可以免費使用

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你看我寫這麼多字

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仍然是一元都沒給過

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那個不好處就是他不算很聽話

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感覺有點像7GBT的3.5

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間中會有簡體字

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我叫他端對端神經網絡是用英文

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但是他沒有聽我說

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我叫他給Markdown格式

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他做了一點點但是做不完等等的問題

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另外就是他的速度真的很慢

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剛才最後的Output

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是差不多接近用了四分鐘

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所以暫時來看

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我認為寫SEO文章的話

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是應該使用Claude 3

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Claude上限是有20萬Token

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我相信都絕對夠用

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如果大家還沒用過Claude的話

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可以看我上一條影片

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你會發現我寫SCO文章

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我不會100%全自動

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因為我想確保可以寫到有質素的東西

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所以他建立完框架之後我會修改他

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甚至乎他寫完內容出來之後

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我都會修改他

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其實寫SCO文章最花時間

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就是做資料蒐集的部分

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如果你都想學習我這個Zapier

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自動做資料蒐集的流程的話

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都歡迎參加我下一次在香港舉辦的工作坊

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我相信你學會了這個自動化的流程之後

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起碼最少會節省到你一半的時間

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例如你過去寫一篇SEO文章

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你可能要三個小時

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現在一個小時內我相信都可以完成

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用一個小時當然是一個保守的說法

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因為我不想over Promise

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以剛才的流程來說

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實際大概是用了20分鐘左右

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然後那篇文章我自己再花大概20分鐘的時間

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去修改再publish到我的workpress

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可能你會問

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連寫文章框架和內容的部分

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都可以自動寫嗎?

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其實是可以的

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但是這一刻來說我暫時不建議

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因為現在Google是主張helpful content

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我想大家真的寫一些有質素的文章

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而不是拿來做內容農場的

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當然你拿來做內容農場

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我也不會阻止你

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我相信AI配合自動化工具

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是未來一個十分重要的技能

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如果你也有興趣去學習的話

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歡迎參加我們下次在香港舉辦工作坊

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課程的連結就放在影片下面

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我們下次影片再見

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