ChatGPT SEO
I treat ChatGPT as an intern who can draft but cannot decide on intent — that part stays mine.
What I’d do first
- Define search intent and audience before writing any prompt, then test the output against real SERP results.
- Use ChatGPT to generate long-tail keyword questions, but verify each phrase in a keyword tool before using it.
- Create content briefs with ChatGPT by providing target word count, tone, and internal linking constraints — then manually refine the title and meta description.
- Analyse competitor content gaps by pasting competitor URLs into ChatGPT and asking for missing subtopics, then cross-check with your research.
- Iterate prompts with specific constraints like character limits and readability level, and discard any output that doesn't match your source quality.
The path I'd take
I start every SEO task by checking the live SERP for the target keyword. I need to know whether the format is a listicle, a how-to, a product comparison, or a short answer. Only then do I open ChatGPT. I never ask for generic "ideas". Instead, I give it context: audience, search intent, content type, and a maximum word count. For a recent page on budget travel, I prompted: "List 20 long-tail questions a solo traveller might ask before booking a hostel. Keep them under 10 words. Exclude anything about flights." It returned 18 usable questions. I kept 14 after checking each against Google Suggest and a keyword tool. That is a decent hit rate.
I also use ChatGPT to draft content briefs for writers. I feed it a target keyword, the top three competing URLs, and a list of subtopics I want covered. I ask for a meta description under 160 characters, a title under 60 characters, and a heading outline with H2 and H3 structure. The first draft always needs editing — it tends to write fluffy headings like "The Benefits of..." — but it saves me 20 minutes per brief. I have run this process for about 30 pages now.
For competitor gap analysis, I take three ranking pages, paste their main body text into ChatGPT, and ask: "What topics are missing from these articles that a reader would expect?" Once it gives me a list, I check the Google "People also ask" box and the related searches section. About half the suggestions overlap with real search data. The other half are hallucinations — plausible but untraceable queries. I discard those.
I only ever use ChatGPT for drafting and suggestion. I never publish its output as-is. The final paragraph, the hook, and the data points are mine. I also keep a running list of prompts that worked and prompts that flopped. That list is my personal playbook, and it grows every month.
Watch-outs
The biggest trap is treating ChatGPT as a reliable source of facts. It is a language model, not a search engine. I once asked it to list the top five SEO tools for small businesses. It included a tool that had not existed for two years. You must verify every claim, every number, and every date before using it in your content. Google Search Central has repeatedly stated that AI-generated content is not automatically against their guidelines, but content that is produced primarily for search engines without human oversight can be considered spam. My rule: if I cannot confirm a fact from a primary source, I do not include it.
Another watch-out is generic output. If your prompt lacks constraints, ChatGPT returns a bland, middle-of-the-road paragraph that reads like a brochure. I learned to include specifics: tone (conversational, professional, authoritative), audience (beginner, intermediate), and structural rules (no lists longer than five items, start each paragraph with a concrete example). Without those, the output sounds like every other AI-written page on the web. That kind of content does not earn links, shares, or featured snippets.
Over-reliance on prompt chaining also causes problems. Some guides recommend asking ChatGPT to rewrite its own output three or four times. I tried that and found that each iteration watered down the original intent. A better approach is one solid prompt, one careful edit by me, then done. Iteration should happen at the prompt level — refining the instruction — not at the output level.
Finally, watch for keyword stuffing in AI output. ChatGPT sometimes repeats the target keyword unnaturally, especially if you mention it in the prompt more than once. I now write the prompt with the keyword once and include a note: "Use the keyword sparingly and only where it fits naturally." This does not always work; I still have to manually remove one or two instances in most drafts.
For anyone new to this, I recommend starting with a single task — generating FAQs or drafting a meta description — and evaluating the quality before scaling to full articles. The [AI Content Generator](/ai-content-generator/) category on this site has more detailed prompt frameworks. And if you are working with a team, set a style sheet that explicitly bans copy-pasting AI output without a human rewrite.
What I got wrong
My first mistake was thinking I could outsource entire blog posts to ChatGPT. I wrote a prompt with a keyword, a word count, and a tone, then published the output with minimal edits. The post ranked for three days on page one, then dropped to page three and never recovered. Google must have detected the lack of original insight — the post paraphrased existing content without adding anything new. I wasted two weeks of rankings on that page. Now I treat AI output as a first draft that I rewrite by hand, paragraph by paragraph.
My second mistake was ignoring the need for domain-specific prompts. I used the same generic prompt for every topic — tech, travel, finance — and wondered why the finance articles sounded wrong. Finance requires authority, citations, and regulatory awareness. ChatGPT does not know what is regulated unless you tell it. I now add a line like "Do not make any claims about medical or financial outcomes without a disclaimer." I also manually insert all citations from recognised sources.
A third error: I over-trusted ChatGPT's ability to analyse competitor content. I pasted a full article and asked for its missing subtopics. The model listed five, but three were irrelevant to the search intent. I did not check them against the live SERP. The resulting page had a poor topical relevance score in my analysis tool. Now I always validate AI-suggested gaps by checking Google's related searches and the "People also ask" section.
I also failed to track the performance of AI-assisted pages separately. I had no idea which pages used a human-first workflow and which were heavily AI-written. After I started tagging them in my spreadsheet, I found that fully human-written pages had a 40% higher click-through rate from organic search. That made me re-evaluate my time allocation.
Finally, I believed the hype that prompt engineering was the key skill. It is not. The key skill is still SEO fundamentals: understanding search intent, building topical authority, and earning backlinks. ChatGPT is a productivity tool, not a strategy. If you have not mastered the basics, better prompts will not save you. Read up on [entity SEO](/entity-seo/) to see how models like ChatGPT actually perceive your content, and on [generative engine optimisation](/generative-engine-optimization/) for how these models surface information beyond traditional search.
I keep [AI Description Generator](/ai-description-generator/) and [AI Search Optimisation](/ai-search-optimization/) open alongside this one.
Next step
Quick answers
Can ChatGPT replace an SEO writer?
No — it can speed up drafting and idea generation, but it lacks originality, fact-checking, and strategic thinking. A human writer who uses ChatGPT as an assistant will almost always outperform both a pure AI article and a pure human article in search rankings.
How do I avoid AI-generated content penalties?
Google's goal is to reward helpful content, not to penalise AI specifically. To stay safe, never publish AI output without human editing, verify all facts from primary sources, and ensure your content adds original insight — data, examples, or personal experience that the model could not have known.
What is the best ChatGPT prompt for SEO content briefs?
- A strong prompt includes: target keyword, audience description, search intent, desired tone, word count, and structural requirements (e.g.
- H2s, bullet points, tables). Example: 'Create a content brief for "best budget hotels in Bangkok". Audience: young travellers. Intent: comparison. Tone: casual. Word count: 1500. Include meta description under 160 characters.'
Does ChatGPT work for technical SEO tasks?
Limited. ChatGPT can help draft schema markup examples, generate FAQ structured data, or rewrite meta descriptions, but it cannot audit your site or fix server errors. It is best reserved for content-oriented tasks, not crawling, indexing, or technical configuration.
Sources
Primary documentation is linked directly. Anything commercial is marked nofollow.
- Google Search Central — Backs up the guidance on helpful content and AI-generated content quality expectations.
- Search Engine Land — Supports the practical coverage of prompt workflows and AI-assisted SEO use cases.
- SEOptimer — Provides concrete prompt examples for keyword ideas, briefs, and FAQs used in the workflow.
- Brafton — Validates prompt quality principles such as context, guardrails, and iterative refinement.
Notes from Callum Bennett.