Key Takeaways
- The “Average” Trap: AI is trained on the generic mishmash of the entire internet. To rank, you need “Information Gain”, unique value and personality that separates you from the robotic noise.
- Confidence Without Competence: LLMs are pattern machines, not truth-tellers. They can (and will) hallucinate facts confidently. If you don’t fact check, you risk damaging the trust you’ve built with your audience.
- Strategy Requires Context: AI doesn’t know your business goals, your margins, or your specific market struggles. It can list outdated best practices, but it can’t build a custom roadmap for now.
- The Human Advantage: You have lived experience; AI only has training data. Google’s E-E-A-T signals specifically reward the depth of knowledge that comes from actually doing the job, not just reading about it.
Why You Can’t Rely on AI For Your SEO
As a creative, we’re time poor. We’re juggling emails, client deadlines, and planning till the early morning. It’s a hustle to get your marketing in check, particularly your SEO. We’d all love a shortcut – and one comes to mind. AI.
So you open up ChatGPT, and you ask it for an “SEO strategy.” The problem: It gives you a generic list based on best practices 3 years ago. It didn’t give you a strategy. AI is just a tool. It can’t be your strategist. Especially when it’s untrained. It doesn’t know anything about your business, your clients, or your goals.
Why AI Lacks Business Context and Brand Voice
AI learns from training data, ingesting context from across the web at an ever-faster pace than we’ve ever seen before. Amazing, right? So why not trust it for your SEO strategy? Well, AI is trained on the average of the internet. With so many sources blended together, we get one big generic mishmash.
Creatives and those in the wedding industry are not generic. So show it in your brand identity. Your personality is your brand, AI doesn’t know you specialise in “moody elopement planning” in Tasmania. It just knows “wedding planning.”
Without adding new information (known as information gain) such as unique value propositions (UVPs), the result is generic copy that sounds like everyone else. And that’s bad for SEO.
Stuck on where to start for your SEO?
As a seasoned SEO who has helped multiple businesses rank on Google and generate organic leads, trust Digital Indie to guide you in the right direction. Go where checklists, guides, and AI advice can’t – a sustainable, holistic SEO strategy designed purely for YOUR business.
Let’s have a chatExperience Matters More Than Ever
The thing you have over ChatGPT, Gemini, or Claude is your own real world experience. Even to those new in the game, you’ve experienced more over your lifetime than AI could. Which is nothing. And until it becomes some sentient, living breathing creative – it won’t have the same experiences you do.
Experience, Expertise, Authoritativeness, Trust (E-E-A-T)
As part of Google’s rating signals, they’ve evaluated the web for EEAT since 2014 (E or Experiencebeing added in 2022) whenever it searches for a user query. EEAT is a critical part of both SEO and AI, valuing learned experiences from experts in their trades. It looks for websites who’ve built their authority through positive mentions and sentiment, quality links from other sources, and a depth of knowledge added in regular content updates.
Lastly, trust signals that show your reviews, testimonials, case studies, anything that adds user confidence. Search engines are getting better and better at spotting generic content that lacks insight from humans. Mostly, it’ll ignore it – but you don’t want to be the one on Google’s radar from repeated and extensive AI generated content. How to avoid this? Personal stories and expert opinions.
Understanding Search Intent and Emotional Nuance
Being in our industry, the clients we work with make decisions not just on impulse. They make decisions with their emotions. AI misses the subtle difference between “how to choose a birthstone engagement ring” and “jewellers Mermaid Beach”. That being that the customer has different search intent, informational for how to searches, and commercial for service or product + locations queries. It’s about understanding the user journey, and strategically capturing clients at each stage.
The “Hallucination” Risk and Ethical SEO
The inherent risk of using LLMs (Large Language Models, like ChatGPT and Gemini) without proper safeguards is its risk of hallucinations. AI hallucinations are essentially uneducated guesswork. LLMs are just a pattern recognition machine – but if you’re talking about something it has little experience about then it will act confident in linking these patterns. But it can lie.
The risk? Incorrect advice can hurt your trust with your customers. When producing any type of content, you should be focusing on factual accuracy, and your brand reputation.
The Winning Approach is a Human First Strategy
So what makes a good strategy? Don’t get me wrong, I can give this away but the truth is I don’t know your goals, fellow reader. Sure, you can ask me or even AI what your goals should be, but deep down it’s something you want to develop yourself.
Going through the gruntwork, testing different things, failing and succeeding is all part of achieving your goals. Based on your goals, a machine can’t properly prioritise your quick wins or strategise something of unique value for your clients through SEO.
AI is useless then right? No, but without the learned experience of doing SEO and going through it for clients, or a business – how are you able to measure what worked or not?
| Task | The Potential (With Good Prompting) | The Trap (Where It Fails) |
|---|---|---|
| Drafting Outlines | Great. If you feed it target/semantic keywords from a real tool and lock it to a Brand Voice (like a custom GPT). | Generic. Without those strict inputs, it creates “fluff.” |
| Analysing Data | Powerful. But only with reasoning models (Pro subscriptions required). Good for spotting trends, if you verify the data first. | Hallucinations. It can lie. You have to ask it to reference specific data points or it might makes things up. |
| Strategy | Sounding Board. Good for structuring your existing thoughts or acting as a critic. | The “Average” Trap. It’s trained on public internet advice, not expert agency strategies. It creates confirmation bias. |
| Keyword Research | Okay. If linked to a real keyword research tool (via a connector or integration known as an API) | Guesswork. It gets search intent wrong and struggles to map keywords accurately. The search volume data is pure assumption. |
| Internal Linking | Decent. With web search, it can compare articles and find logical connections. | Inconsistent. It’s still not 100%. It misses the subtle context a human sees. |
| Metadata | None. | Robotic. It forces CTAs where they don’t belong. It screams “AI-generated.” |
| Content Strategy | Okay. Better if you feed it real keyword data and supporting articles. | Intent Mismatch. It struggles to understand why someone is searching, just what they searched. |
| Website Audits | None. | Technical Failure. It chokes on JavaScript. It hallucinates errors and tells you what you want to hear (bias). |
AI can help speed up the boring stuff. Used as a sounding board, you can brainstorm quite effectively too. But to succeed in SEO, you define the strategy. You add the emotion, your brand identity, and how you solve the problems your customers face.
Hey, did you use AI to write this?
A bit. Only as an outline and some points. Not as a writer. If you want to know how to create a quality content outline with AI, I’ll be writing an upcoming article on AI and content creation. Stay tuned.
