AI is good at one thing: taking work off your plate. It's bad at one thing: replacing your judgment.
The difference between a business that uses AI well for SEO and one that gets buried is intention. One uses AI to do boring, repetitive work faster. The other uses AI to avoid thinking.
You need to be the first one.
What AI is Actually Good For (In SEO)
Keyword Research & Analysis
AI tools like Semrush and Ahrefs use AI to find keyword opportunities, analyze competition, and spot gaps. This takes hours of manual research and compresses it to 10 minutes. (For more on this, check out our guide on using ChatGPT for SEO content.)
The work: feeding AI your industry and letting it generate keyword clusters, search volume, intent analysis, and difficulty scores. We cover this in more detail in our post about AI tools for small business marketing.
The catch: You still need to understand your business and customers well enough to know which keywords actually matter.
Content Briefs & Outlines
Once you've picked a keyword, AI can build a content outline. It can analyze the top-ranking pages, identify what they cover, and suggest a structure for your content.
The work: Give AI a keyword, let it analyze SERPs, get back a detailed outline with headers, key points, and word count targets.
The catch: The outline should be a starting point, not the final plan. You'll need to adjust based on your specific angle and expertise.
First Drafts
AI can write a rough first draft of a blog post, email, or meta description. It's faster than staring at a blank page.
The work: Feed AI your outline, give it your brand guidelines, get back 1000+ words of decent content.
The catch: This is where most people go wrong. Turning an AI draft into your actual content takes more work than writing it from scratch. You'll rewrite 60% of it. If you don't, your content sounds like every other AI-written post out there.
Meta Descriptions & Title Tags
AI can generate 10 variations of a title tag or meta description in 30 seconds. You pick the best one, refine it.
The work: Give AI a keyword and page topic, get back 10 options, pick your favorite.
The catch: None. This is actually one of the few places where AI output is usable as-is.
Structured Data & Schema Markup
AI can generate JSON-LD schema code for FAQs, articles, products, and more. Saves you from manually writing code.
The work: Tell AI what type of content and what information to include, get back clean schema markup.
The catch: Always test it with Google's Structured Data Testing Tool. AI sometimes gets the syntax wrong.
Repurposing Content
Take one long blog post and AI breaks it into email sequences, social posts, short-form content, and more. Multiplies your output.
The work: Feed AI one piece of content, get back variations optimized for different platforms.
The catch: Platform tones are different. Email reads different from LinkedIn, which reads different from Instagram. AI does the boring work of breaking it apart, but you need to adjust the tone.
Useful resource: Google's guidelines on AI-generated content
Useful resource: Search Engine Journal on AI and SEO
What AI is Bad At (And Why)
Originality
AI is built on patterns from existing content. It doesn't have new ideas. If everyone uses AI to write about "top 10 email marketing tips," every post sounds the same. AI is the opposite of differentiated.
Brand Voice
Your voice is how you think, how you talk to customers, what you believe. That comes from you. AI can mimic a voice, but mimicking isn't the same as authentic.
Judgment
"Is this keyword worth going after?" "Should we cover this angle?" "Does this sentence fit our brand?" These need human judgment. AI can't know your business like you do.
Deep Expertise
AI regurgitates surface-level information. If you actually know something deeply, you know more than AI. That expertise is your competitive advantage.
Understanding Your Customer
AI doesn't know your customer's specific problems, objections, or language. You do. That's where real value comes from.
The Right Workflow
Here's how to use AI without killing your brand voice:
Step 1: Do the Strategic Work Yourself
- Decide what you're ranking for
- Understand your audience deeply
- Know your specific angle (why is your take different?)
- Define your brand voice in writing
This can't be delegated to AI.
Step 2: Use AI to Research & Outline
- Run keyword research
- Analyze top competitors
- Have AI suggest an outline
- Refine that outline with your unique perspective
Step 3: Write Your Own First Paragraph
Don't let AI write your intro. Your intro sets tone. It needs to be your voice from the start.
Use it to hook the reader, establish credibility, and explain why this post is different from the other 50 posts on the same topic.
Step 4: Use AI for Body Content (With Heavy Editing)
Have AI write the body sections. Then edit ruthlessly.
- Remove jargon
- Replace generic phrases with specific examples
- Add your opinions and hot takes
- Include stories from your actual experience
- Cut anything that sounds like it could be on any other website
Expect to rewrite 40-60%. If you're rewriting less, you're not doing it right.
Step 5: Write Your Own Conclusion & CTA
Your conclusion is your chance to land the message. AI conclusions are predictable ("In conclusion..."). Yours should be memorable.
Your CTA is how you ask for business. It needs your voice, your confidence, your specific ask.
Quality vs. Quantity Reality Check
There's a temptation: use AI to write 10 posts a week instead of 2 posts a week.
Don't.
The business that writes 2 genuinely good posts a month beats the business that publishes 10 AI-recycled posts a month. Google's algorithm is getting better at spotting generic AI content. Your readers can sense when something was written by a bot.
Aim for: Using AI to do 20% less work, not to do 500% more work.
AI Tools Worth Using for SEO
For research: Semrush, Ahrefs, SEMrush (AI-powered keyword briefs)
For outlines & brief: Ahrefs' AI assistant, Jasper, Writesonic
For first drafts: ChatGPT, Claude (more coherent), Jasper (SEO-focused)
For bulk content: Don't. These lead to burnout and mediocre sites.
For meta descriptions: Any AI tool works. They're simple enough.
One Honest Thing
Using AI well for SEO takes more effort than just writing everything yourself if you're naturally good at writing. AI is only a time-saver for the parts you hate doing (research, outlines, first drafts of repetitive content).
If you already write great content, AI helps you do more of it. If you don't, AI will just help you do more of the thing you're already bad at.
The tool isn't the limiting factor. Your thinking is.
AI should make you more productive, not more replaceable. Use it to eliminate drudgery so you can focus on the strategic work only you can do.
Want help figuring out where AI actually fits into your SEO strategy? We can show you what's working and where you're probably wasting time.
Questions about your own situation? Talk to us →
Twin Fin Studio does AI automations, SEO & web design. We're a partner to hospitality and local businesses in Lombok, Bali and Belgium.