If you want to write a blog with AI, the safe approach is not to paste a top-ranking article into an AI tool and ask it to “rewrite it differently.” That may produce a textually new document whose information, examples and value remain unchanged.
By the end of this article, you will have a process for turning a source topic into an outline with an original contribution. I will use the topic of choosing a blog name as an example, but you can apply the process to most how-to or explanatory articles. The intended output is a table of questions, sources, examples, differentiators and a verification checklist—not evidence that you have hands-on experience with every tool or topic.
Original value does not come from changing the wording
Consulting other blogs is a normal research step. You can examine how they define the problem, explain terms, organize headings or cite sources. However, your article makes a genuine contribution only when readers receive something useful that the source does not provide or does not explain sufficiently.
| Approach | What it actually does | Should it count as original value? |
|---|---|---|
| Change the title and replace words with synonyms | Keep the original article’s questions, conclusions, examples and order of explanation | No |
| Combine ideas from multiple sources | Create an easier-to-read summary without new analysis or application | Not enough |
| Add project-specific examples, conditions of applicability and a way to verify them | Help readers take action or make a decision in a specific situation | Potentially |
| Cross-check sources, then identify limitations, exceptions or alternatives | Help readers understand when the advice no longer applies | Potentially |
Google recommends that content creators focus on original information, helpful analysis and added value rather than merely copying or rewriting another source. Using AI does not automatically make content a violation, but producing large numbers of low-value pages or pages created primarily to manipulate rankings may conflict with its spam policies (according to Google Search Central).
A six-step process for turning a source topic into your own outline
1. Define one question and an observable outcome
Do not start with the request “write an article about blog names.” That topic is too broad. Reframe it as a question with a specific outcome:
What criteria should beginners use to choose a blog name that is memorable, fits the topic and will not limit future growth?
The article’s outcome could be a criteria table, a process for checking candidate names and a conditional decision. You are not promising that a name definitely has trademark protection, an available domain name or an audience; those points require separate checks.
2. Read multiple sources to map the questions, not copy an outline
When consulting other blogs, record the questions they answer instead of copying each heading. For the topic of choosing a blog name, your notes could begin as follows:
| Question identified | What needs further checking | Opportunity to create original value |
|---|---|---|
| Should a blog name be short or memorable? | Does “short” always mean memorable? | Offer a test for reading, writing and repeating the name aloud |
| Should it contain a keyword? | Could the keyword make the name too generic or difficult to expand? | Compare a directly descriptive name with a brand name |
| Do you need to check the domain name? | Does an available domain prove that you have the right to use the name? | Separate the technical check from the trademark check |
| Should the name be based on the topic or the audience? | Who needs to understand the name immediately? | Use a one-sentence blog description to assess its fit |
At this stage, you are only building a research map. Do not turn every idea into a conclusion. A source article may present personal experience, whereas your article should clearly distinguish practical recommendations from information that must be verified.
3. Find the gap readers genuinely need you to fill
A useful gap does not have to involve a completely new topic. It may be the part that beginners most often do not know how to act on next.
For example, many articles may say “choose a memorable name,” but beginners still do not know how to test one. You can add a process:
- Write down the candidate name without looking at the screen.
- Read it aloud once.
- Ask someone else to rewrite it after listening.
- Check whether the name accurately suggests the topic and target audience.
- Check whether the name is available for use on relevant services before deciding.
This is a practical checking method, not a guarantee that the name will succeed. If you use SaibABC Blog as an example, it is only a proposed illustrative project name; do not treat it as evidence that the name has been registered, has an available address, or has undergone a trademark-rights check.
If you need to review how to define the topic, audience, and proposed name before writing, you can see Blogger vs. Blogspot: Which One Fits Your Website? the relevant section of the roadmap.
4. Cross-check sources before asking AI to draw conclusions
AI can help you group your notes, but it should not be the sole arbiter of factual claims. Divide the information into three categories:
- Stable information: concepts or principles that change little, such as the need for a blog name to fit the content goals.
- Changeable information: service rules, availability for registration, platform interfaces, pricing, or policies.
- Experience and opinion: editorial suggestions, assessments of memorability, or stylistic choices.
For the second category, consult official documentation or the service provider’s website when you are preparing to publish. For the third, label it as a “practical suggestion” rather than presenting it as a mandatory rule.
Google also advises content creators to assess external sources carefully, compare SEO advice with official documentation, and not trust ranking guarantees from third-party tools or services (according to Google Search Central).
5. Use AI for the right tasks: grouping ideas, outlining, and finding gaps
AI is most useful when you provide context, the target audience, your documented data, and the constraints it must follow. Ask AI to analyze the material or pose questions before asking it to write a complete article.
AI prompt template for finding gaps:
Bạn là biên tập viên hỗ trợ một blog dành cho người mới xây dựng website.
Chủ đề: chọn tên blog.
Độc giả: người mới, chưa biết nhiều về thương hiệu hoặc SEO.
Mục tiêu bài: giúp họ lập danh sách tên dự kiến và kiểm tra từng tên trước khi quyết định.
Dưới đây là các ghi chú tôi đã tổng hợp:
[ DÁN GHI CHÚ CỦA BẠN ]
Hãy:
1. Nhóm các ý trùng nhau.
2. Chỉ ra câu hỏi người mới vẫn chưa được trả lời.
3. Tách dữ kiện cần kiểm chứng khỏi gợi ý biên tập.
4. Đề xuất một dàn ý gồm vấn đề, điều kiện, hành động, cách kiểm tra và giới hạn.
5. Không tự tạo số liệu, trải nghiệm, nguồn hoặc kết luận pháp lý.
6. Đánh dấu [CẦN KIỂM CHỨNG] tại mọi thông tin có thể thay đổi.After receiving the result, you must review it and revise the outline using real data. AI cannot know for certain which names you have checked, which services you have used, or what status the SaibABC Blog project has reached. Clear prompts and iterative refinement often make the result more suitable, but they do not replace the writer’s verification step (according to help.openai.com).
6. Rewrite the outline based on your own decisions
The final outline should not be merely a list of ideas suggested by AI. For the topic of choosing a blog name, an outline with original value could include:
- Choose a name based on the content goals and target audience.
- Distinguish between a directly descriptive name and a brand-oriented name.
- Check how easy the name is to read, hear, and reproduce in writing.
- Check whether it can accommodate future expansion as the topic develops.
- Check the domain and other relevant rights before making a final decision.
- State the limitations clearly: technical availability does not guarantee an audience, rankings, or the right to use every variation.
The original contribution comes from deciding on the structure, selecting examples, stating conditions, and designing the checking method. AI can help identify unclear sentences, but it should not be credited as the author or used to create experiences that never occurred.
Complete example: from the topic “choosing a blog name” to an outline
Suppose you want to write for beginners preparing a Blogger blog and building a website. A preliminary outline such as “What is a blog name, and how do you choose a good one?” is not enough to begin.
You could turn it into the following outline:
| Section | Required content | Evidence or verification output |
|---|---|---|
| Problem | Beginners choose names based on inspiration but do not yet know how to assess suitability | A one-sentence description of the audience and the blog’s intended outcome |
| Criteria | Easy to read, easy to remember, relevant to the topic, and capable of accommodating expansion | A qualitative scoring sheet for reviewing each name |
| Example | Compare an overly broad name, an overly narrow name, and a balanced name | Three hypothetical names, clearly identified as illustrations only |
| Checks | Read it, hear it, write it down, check domain availability, and verify related information | A checklist for one specific name |
| Limitations | Technical availability does not mean you have the right to use the name or that it will succeed | A warning line before the final decision |
This is different from taking someone else’s article and asking AI to replace all the wording. The outline adds a checking process, concrete outputs, and limitations that readers can act on.
Verification checklist before writing and publishing
Before writing the full draft
- Have I defined a sufficiently narrow central question?
- What will readers be able to do or decide after reading the article?
- Have I read multiple sources to identify questions rather than copying their headings verbatim?
- Does each important conclusion have a clear source, example or rationale?
- Which parts are facts, which are experience, and which are my recommendations?
- Am I using any unverified names, figures, experiences or results?
Before publishing
- Does the title accurately reflect what the article delivers?
- Does the article add examples, conditions of application, ways to verify information or original analysis?
- Do the source links lead to the correct materials and remain relevant to what I have written?
- Has AI left behind any statements that sound certain but lack evidence?
- Have I clearly stated the assumptions and limitations of the example?
- If readers follow the instructions, will they know the inputs, actions and expected results?
- Am I using AI to create many near-identical articles solely to cover more keywords?
Google emphasizes that AI-generated content should focus on accuracy, quality and relevance, and should provide context about how it was created when readers need to know. Therefore, treat AI as a process-support tool, not as evidence of your expertise or experience (according to Google Search Central).
Common mistakes and how to fix them
| Mistake | Sign | How to fix it |
|---|---|---|
| Changing only the synonyms | The two articles have the same conclusions, examples and order of explanation | Add unanswered questions, original examples or ways to verify the information |
| Handing the entire article over to AI | The draft reads smoothly but contains generic information or has unclear sources | Provide sourced notes, ask AI to flag points that need verification, and edit the draft yourself |
| Confusing availability with the right to use something | Treating an available name or address as automatically safe to use | Separate technical checks from checks of trademarks, rights and scalability |
| Adding fictional experience to the article | Writing “I tried it” when you have not actually done so | Use “can be checked,” “illustrative example” or perform the actual check before describing it |
| Adding many sources without analyzing them | The article contains many links, but readers still do not know what to do | After each group of sources, state the applicable conclusion and its limiting conditions |
Exercise: Create an original outline for your blog
Choose a topic you want to write about and complete the following worksheet:
- Central question: What does the reader need to accomplish?
- Outcome: What product will they have or what decision will they be able to make after reading the article?
- Three reference sources: What part does each source address?
- The gap: What do beginners still not know how to do, where to verify information or which mistakes to avoid?
- Original contribution: What example, decision table, process, evidence or limitation will you add?
- AI’s role: Will AI group ideas, create an outline, ask questions or flag unclear sentences?
- Points to verify: Which facts must be checked against official documentation before publication?
Do not mark the task complete just because AI has produced a long draft. Mark it complete when you can identify the article’s question, sources, original contribution, verification method and limitations.
Next step
Once the outline passes the checklist, write the draft in this order: problem, conditions, actions, examples, verification method and limitations. Only then ask AI to flag unclear points or suggest missing questions. This helps you retain control over the content and prevents smooth prose from concealing factual errors.
Within the scope of this article, you have completed only the content-preparation stage. The article does not explain how to move articles between blogs or extract content from another Blogspot site; those are separate issues involving backups, usage rights and post-migration checks. For SaibABC Blog, all names, addresses and results mentioned in the example must continue to be labeled as illustrative until real data is available.
Reference source
- Creating Helpful, Reliable, People-First Content — Google Search Central
- Google Search’s Guidance on Using Generative AI Content on Your Website — Google Search Central
- Google Search’s guidance on third-party SEO tools, services, and advice — Google Search Central
- Prompt engineering best practices for ChatGPT — OpenAI Help Center
