ChatGPT has made content creation faster than ever. Ideas, drafts, outlines, even full articles can appear in seconds.
But creating content quickly very rarely means that same content will perform well for SEO.
Many businesses are publishing AI-generated content that looks polished but fails to rank, convert, or build trust. Not because ChatGPT is “bad at writing”, but because it’s being used without strategy, direction, or judgement.
ChatGPT doesn’t replace thinking. It amplifies you and your team to deliver great quality work efficiently. Treat it as a tool, not a team member.
Why AI-generated content often underperforms
Large language models (LLMs) are trained on existing information.
When they’re used without strong direction, they tend to reproduce the most common patterns found across the web. The result is content that looks polished but adds little new value.
From an SEO perspective, this is a problem.
Google doesn’t need to detect that content was written by AI to devalue it.
It evaluates the outcome, not the method.
Content that closely mirrors what already exists, even with light rewrites or keyword tweaks, is treated as regurgitated and unoriginal. Over time, this kind of content struggles to maintain visibility because it fails to demonstrate differentiation, usefulness, or authority.
Common issues include:
- content written without a clear purpose or audience
- vague messaging designed to appeal to everyone, which appeals to no one
- predictable structures that repeat what competitors already say
- pages that briefly rank due to topical relevance, then decline as Google reassesses quality
This directly impacts EEAT. AI-generated content often lacks:
- lived experience
- original insight or opinion
- evidence of subject-matter expertise
- clear accountability through authorship
Even when AI output is manually edited, small cosmetic changes don’t fix the core issue.
If the underlying content doesn’t introduce new perspectives, practical insight, or unique framing, Google has little reason to prioritise it over similar pages.
Search engines and users are both effective at spotting low-value content.
Engagement drops, bounce rates increase, and rankings erode. AI doesn’t automatically improve content quality. It simply accelerates whatever strategy is already in place – good or bad.
Used without intent, originality, and expertise, AI speeds up mediocrity.
Used with strong direction and human insight, it can amplify genuinely valuable content.
1. Using ChatGPT without a clear goal or intent
One of the most common mistakes is prompting ChatGPT to “write a blog about X” without defining why the content exists.
“Write a blog about CRM software.”
This produces generic content that explains what CRMs are, lists features, and offers no clear direction.
“Write a blog aimed at operations managers comparing CRM tools for small sales teams, with a focus on reducing admin time.”
ChatGPT performs far better when it understands the audience, intent, and outcome. Without that, content becomes vague and unfocused.
2. Letting ChatGPT decide the structure
ChatGPT defaults to familiar, templated structures. These aren’t wrong, but they’re rarely differentiated.
Creates multiple blogs with the same flow:
- introduction
- definition
- benefits
- conclusion
Before committing ChatGPT to write the content, ask it to define the structure and then provide feedback and tweaks. Human-led structure leads to clearer narratives and stronger outcomes.
3. Publishing content without human editing
AI content often looks finished before it actually is.
Common tells include:
- repetitive phrasing
- overuse of qualifiers (“it’s important to note that…”)
- long explanations that say very little
- overuse of the em dash
- ending the article with “in conclusion”
Always edit for clarity, brevity, and tone. Remove repetition. Tighten sentences. Add personality and judgement. AI drafts should never be the final version.
4. Creating content without original insight or experience
ChatGPT is excellent at summarising existing information. It is not a substitute for first-hand experience, which is something the search engines NEED before ranking content.
Content that repeats what “everyone already knows” adds no reason to trust or engage.
Example: A blog titled “Best marketing strategies in 2026” that lists SEO, social media, and email marketing with no context or insight. There’s 1,000+ of these articles already from reputable brands such as SEMrush, Hubspot and more.
Layer in real-world perspective. Add examples, opinions, trade-offs, or lessons learned. AI should support expertise, not replace it altogether.
5. Ignoring search intent and funnel stage
AI content often mixes informational and commercial intent without realising it.
A blog targeting “CRM software pricing” that spends most of the article explaining what a CRM is.
This frustrates users who are already evaluating options and want pricing clarity. They know why they need it and what it’s going to be used for, they want to understand the cost/ benefits.
To fix this, define intent upfront. Is the reader researching, comparing, or buying? Tailor your content marketing to cover depth, tone, and CTAs accordingly.
6. Over-optimising or under-optimising for SEO
ChatGPT can misinterpret SEO when prompts lack context or constraints. Without clear direction, it often swings between two extremes that both hurt performance.
On one end, content becomes over-optimised.
The same keyword is repeated unnaturally across headings and paragraphs in an attempt to “signal relevance”. This leads to awkward phrasing, poor readability, and content that feels manufactured rather than genuinely helpful.
Search engines don’t need heavy repetition to understand a topic, and users disengage quickly when copy feels forced.
On the other end, content becomes under-optimised.
In an effort to “sound natural”, keywords are avoided entirely, resulting in vague language that lacks topical clarity.
When core terms and related concepts are missing, search engines struggle to confidently understand what the page is about, even if the writing itself reads smoothly.
The fix is balance. Use AI to assist with natural language and flow, but define SEO strategy manually.
Identify primary and supporting terms upfront and ensure they appear naturally where they add clarity and context.
7. Failing to fact-check and update information
ChatGPT can confidently present outdated or incorrect information, and this is a known limitation rather than a rare edge case.
Studies evaluating AI-generated references have found that large language models can fabricate or misattribute sources roughly 30–40% of the time, particularly when prompts lack clear constraints or verified inputs. (https://www.factored.ai/engineering-blog/llm-hallucination-evaluation)
For SEO, this directly undermines EEAT.
Google prioritises content that demonstrates accuracy, credibility, and trustworthiness.
Pages that include outdated statistics, references to discontinued tools, or unverifiable claims are more likely to lose trust with both users and search engines, even if the writing itself is polished.
Facts need to be verified, data updated, and real citations added where appropriate. This step is essential for maintaining credibility, protecting rankings, and avoiding low-value content signals.
8. Forgetting the user experience
AI-generated content often prioritises completeness over usability. The result is content that technically covers a topic but is difficult to read, scan, or act on.
Common issues include long blocks of uninterrupted text, unclear takeaways, and a lack of visual hierarchy.
When users struggle to find answers quickly, engagement drops (based on RankBrain SEO signals).
For SEO, this matters because poor user experience often leads to shorter dwell time, higher bounce rates, and weaker satisfaction signals.
The fix is to optimize for readability. Use shorter paragraphs, clear section headers, and explicit conclusions or summaries.
Content should be easy to skim and understand at a glance, not something users have to work through line by line.
9.Don’t use single prompts, have a conversation
Treating ChatGPT as a one-shot generator leads to generic output because the model hasn’t been given enough context, direction, or feedback to improve the work.
Better results come from using ChatGPT the way you would a real copywriter.
Start with a brief, review the output, then refine it through follow-up instructions, edits, and clarifications.
Each iteration improves tone, relevance, and accuracy.
Using voice input can also speed this up, allowing you to brief ideas, examples, or feedback naturally rather than trying to perfect a single written prompt.
Iterative prompting turns ChatGPT from a content generator into a collaborator, producing work that is clearer, more aligned, and more useful over time.
How to avoid these mistakes and use ChatGPT properly
In summary,. he difference between AI content that performs and AI content that fades comes down to how much strategy, judgement, and iteration you apply around it.
You want your AI generated content to perform well? Do this:
- Define the goal, audience, and search intent before prompting
- Control the structure yourself instead of relying on default AI formats
- Edit aggressively for clarity, originality, and tone
- Add real-world insight, experience, and perspective AI cannot provide
- Balance SEO deliberately, using keywords to clarify topics, not force them
- Fact-check everything and replace invented or outdated references
- Optimise content for readability and scanning, not just completeness
- Use iterative prompts and feedback instead of one-off commands
Or if you’re struggling for time, reach out to us and see how we can help 10x your website’s performance and create A* content for your brand.