As a St. Louis digital strategist, today, I would like to discuss why AI isn’t stealing your job and tell you why it’s actually promoting you.
If you work in SEO or digital strategy, you’ve probably had the same late-night thought: “Is Artificial Intelligence coming for my job?”
Short answer? No. Long answer? It’s coming for your old job, the one filled with tedious tasks, endless spreadsheets, and copy/paste drudgery. But it’s also opening up a new, more strategic role for you. One that’s faster, sharper, and a hell of a lot more fun, if you know how to use the tools.
We’re not talking about letting ChatGPT write your whole content calendar or trusting an AI to run your audits unsupervised. We’re talking about working with AI, like a turbocharged assistant that never sleeps, never complains, and actually follows instructions (mostly).
In this guide, I’ll break down exactly how to build an AI-augmented SEO workflow. We’ll cover everything from technical fixes and keyword clustering to internal linking, content production, and competitor analysis.
You’ll get:
The tools I actually use.
Real prompts that work.
Step-by-step tactics that save hours.
So no, AI isn’t replacing you. But it is replacing anyone who doesn’t adapt.
Let’s make sure that’s not you.
TL;DR: Why AI Isn’t Stealing Your Job
Area
What AI Does
What You Do
🔧 Tech SEO
Finds errors
Prioritize by impact
🔍 Keyword Research
Clusters keywords by intent
Align to biz goals
✍️ Content
Writes rough drafts
Inject brand, optimize, convert
🔗 Internal Linking
Suggests paths
Build UX flow & conversion logic
📈 Analytics
Summarizes data
Tell the story, plan next steps
⚔️ Competitor Research
Surfaces gaps & overlaps
Craft attack strategy
Automate The Boring Stuff: Technical SEO Made Easy
Let’s face it: technical SEO is essential… but it can also be a soul-sucking timesuck.
Crawling pages, checking for broken links, hunting for duplicate title tags, it’s necessary work, but it’s also prime territory for AI to step in and save your time (and sanity).
Export the report as a CSV or Excel file. Focus on things like:
404 errors
Redirect chains
Missing H1s or meta descriptions
Duplicate titles or content
Slow-loading pages
Feed it into ChatGPT (or a custom GPT you train for audits). Prompt it with something like:
Prompt Example: “Here’s a Screaming Frog crawl export. Can you identify the top technical SEO issues and prioritize them by severity and estimated impact on traffic?”
Let AI summarize it into an actionable checklist, no more skimming 2,000 rows manually.
Example In Action
Let’s say your site has:
213 pages missing meta descriptions
37 broken links
9 pages taking over 5 seconds to load
12 duplicate H1s
Ask ChatGPT to group these by impact. It might say:
High Priority: Broken internal links (affects crawl & UX)
Medium Priority: Slow load times on key product pages
Low Priority: Meta descriptions (still worth fixing, but lower urgency)
You now have a prioritized to-do list, and AI just saved you 2 hours of combing through spreadsheet hell.
Your Role: The Strategic Layer
AI can flag what’s broken. You decide what matters.
For example:
A 404 on a low-traffic blog post? Probably wait.
A redirect chain on a top-converting landing page? Fix ASAP.
Slow Core Web Vitals on a product category page? That’s revenue at risk.
You bring business context, SEO intuition, and prioritization. AI brings speed, accuracy, and endless patience.
Together? That’s a strategy machine.
Get Smarter, Faster Keyword Research
Let’s be honest, traditional keyword research can feel like scrolling through a digital junk drawer.
You fire up Semrush or Ahrefs, export a massive CSV file of keyword ideas, and then spend hours categorizing, filtering, and trying to make sense of it all.
Enter AI: your new keyword clustering assistant that doesn’t tap out halfway through.
How To Do It
Grab Your Raw Keywords
Use your favorite tool (Semrush, Ahrefs, Ubersuggest, etc.)
Export a list of 100–500 keywords related to your topic or product
Feed Them to ChatGPT (or a custom GPT agent trained on your SEO workflow)
Use This Prompt:
“Group the following keywords into content topic clusters. Label each group with an intent (TOFU, MOFU, BOFU), and suggest a pillar page title for each cluster. Also suggest potential blog titles for each group.”
Let AI do the heavy lifting
It will group related keywords into themes
Attach intent labels
Suggest pillar pages and supporting blog ideas
Example In Action
Let’s say you’re targeting keywords for a CBD skincare brand. You give ChatGPT 200 terms like:
“best cbd face cream”
“does cbd reduce wrinkles”
“how to use cbd serum”
“cbd skincare routine”
“buy cbd moisturizer online”
AI might cluster it like this:
Cluster
Intent
Suggested Pillar
Blog Ideas
CBD Anti-Aging
BOFU
“Best CBD Face Creams for Wrinkle Reduction”
“How CBD Helps with Fine Lines”, “CBD vs Retinol for Aging Skin”
CBD Skincare 101
TOFU
“Beginner’s Guide to CBD Skincare”
“What Is CBD Skincare?”, “How to Start a CBD Skincare Routine”
Product Research
MOFU
“How to Choose the Right CBD Moisturizer”
“5 Signs of Quality CBD Skincare”, “What to Look for on the Label”
Done. Organized. Intent-labeled. Ready to build a content cluster around.
Your Role: The SEO Strategist’s Eye
AI can group keywords, but you connect them to revenue.
For example:
You know which clusters align with real customer needs vs curiosity clicks.
You prioritize based on product launches, search volume, and seasonal spikes.
You tighten up clusters to match searcher journey and conversion path.
It’s not about letting AI choose your strategy, it’s about letting it scale your research so you can get to the good stuff faster.
Create Better Content, Faster
Content creation is where most SEOs either burn out or bottleneck.
Coming up with fresh ideas, building outlines, writing optimized posts, tweaking tone, injecting CTAs, it’s a grind. But with AI in your corner, you can go from idea to draft in minutes, not hours.
And no, we’re not talking about generic AI slop. We’re talking about content that’s structured, optimized, and ready for your final polish.
Target Audience: Marketing managers & digital strategists
Use ChatGPT to Generate Your Framework
Prompt: “Create an SEO-optimized blog outline on ‘How AI Is Changing SEO in 2025’. Use the keyword ‘AI SEO strategy’. Break it into H2s and include talking points.”
Ask AI to Draft Each Section
Prompt: “Using this outline, write a 1200-word blog post in an engaging, confident tone. Speak directly to digital marketers. Include metaphors, examples, and a call-to-action.”
Optimize with SEO Tools
Drop the draft into tools like:
SurferSEO (for NLP keyword use)
NeuronWriter (for semantic optimization)
Frase (for outline scoring + content gaps)
Example In Action
Let’s say you’re writing about zero-click search. You give AI this prompt:
“Write a 300-word section on why zero-click search is changing SEO. Make it conversational. Include a stat and a metaphor.”
AI returns:
“Remember when Google was just a directory, like the yellow pages? Now it’s more like a know-it-all friend who blurts out the answer before you even finish your question. Over 60% of Google searches now end without a click. That means your beautiful blog post might not even get a visit, it gets skimmed, summarized, and ghosted. So how do you fight back? You optimize for visibility, not just traffic: featured snippets, structured data, branded queries, and answer-first formatting.”
Boom. You’ve got a solid chunk of content, and you didn’t spend 45 minutes writing it from scratch.
Your Role: Human Polish + Strategic Intent
AI gets you 80% of the way. You do the final 20% that makes it worth reading:
Tweak the hook
Add expert quotes or case studies
Insert internal links
Adjust for brand voice and UX flow
Include a CTA that drives action, not just scrolls
Think of AI like your junior content assistant. You’re still the editor-in-chief, and the conversion architect.
Nail Internal Linking Without Spreadsheet Hell
Internal linking is one of the most underrated, high-impact SEO moves out there.
But let’s be real, it’s also one of the most tedious. Manually searching for anchor text opportunities, mapping link paths, and updating old content feels like doing SEO with a blindfold on… while juggling.
Luckily, AI thrives on structured chaos. And internal linking is pure structure.
How To Do It
Create a List of Key Pages
Group by:
Pillar pages
High-converting blog posts
Product/service pages
Include: URL, target keyword, short description
Feed That List into ChatGPT
Prompt: “Here’s a list of pages with their topics and target keywords. Suggest internal links between them. Make sure the anchors are relevant and varied.”
Let AI Do the Hard Work
It will map connections based on keyword/topic alignment
Recommend anchor text variations
Identify orphan pages that need inbound links
Optional Power Move: Use a Plugin
For WordPress: Link Whisper or Internal Link Juicer
These suggest in-line internal links as you write or edit posts
Pro Tip: Don’t always link from new → old. Reverse it. Update older content with links to newer, high-priority posts to distribute authority.
Internal linking done right doesn’t just improve SEO. It creates rabbit holes that keep people clicking, exploring, and converting.
People Also Ask (PAA): Why AI Isn’t Stealing Your Job
Q: What’s an AI-augmented SEO workflow?
A: An SEO process that uses AI tools like ChatGPT, SurferSEO, or custom GPTs to streamline tasks, without replacing the human strategist.
Q: Will AI replace SEO jobs?
A: Not the good ones. AI replaces tasks, not thinking. The best SEOs will use AI to do more, not less.
Q: How can I use ChatGPT for SEO?
A: Use it to analyze data, cluster keywords, draft content, find linking opportunities, and even summarize analytics reports.
Q: Is it safe to let AI write blog posts?
A: Yes,if you review, optimize, and humanize the final draft. Think of AI as your rough-draft machine.
Analyze Performance Like A Pro (Without Excel Overload)
Analytics used to mean downloading CSVs, opening up 14 browser tabs, and questioning your life choices somewhere between bounce rates and conversion funnels.
But now? You’ve got AI. It doesn’t get overwhelmed by data dumps. It lives for them.
How to Do It
Export Your Data
From GA4, Looker Studio, or Search Console
Grab metrics like:
Pageviews
Bounce rate
Time on page
Conversion data
Traffic source
Device breakdowns
Paste into ChatGPT (or upload via code interpreter)
Ask it to summarize trends, flag outliers, or find hidden insights
Use This Prompt:
“Here is 3 months of landing page data from GA4. Please summarize the top-performing pages, the biggest traffic drops, and any concerning bounce rates. Highlight anything unusual.”
Ask Follow-Up Questions
What content types are performing best?
Did mobile traffic dip?
Which blog posts are converting the most?
Example In Action
You feed ChatGPT a spreadsheet with:
25 blog posts
Traffic trends over 90 days
Bounce rates & session durations
AI might return:
Traffic to “/ai-seo-strategy” up 64%, likely due to new backlinks and increased demand post-algorithm update
Bounce rate on “/seo-tools-comparison” rose to 87%. Consider updating outdated tool references
“/zero-click-search-guide” ranks top 5 for 3 new keywords, add internal links to related posts
Boom. Instead of hours sorting through GA4’s chaotic interface, you’ve got clear takeaways in 5 minutes.
Your Role: Strategic Insight + Narrative
Data is just noise unless you give it meaning. That’s where you come in.
Correlate traffic drops to algo updates, UX changes, or content decay
Turn “X page is down” into “Here’s why, and what we’ll do”
Build client-facing decks that tell a story, not just show numbers
Pro Tip: Ask AI to draft the actual report summary for your client or CMO.
“Write a 2-paragraph summary of this performance report in confident, plain English. Mention wins, losses, and next steps.”
With AI, analytics becomes a strategic weapon, not a Friday afternoon chore.
Spy Like A Strategist: Competitor Analysis At Scale
Competitor analysis can feel like peeking over your neighbor’s fence. You know there’s valuable intel there, and you deserve to get it without endless manual research.
Thankfully, AI makes this process not only faster but also sharper. Instead of wrestling with dozens of spreadsheets, you can have the insights distilled into clear, actionable strategies.
How To Do It
Gather Competitor Data
Use tools like Semrush, Ahrefs, or Moz to export:
Top keywords
Backlink profiles
Traffic trends
Content performance
Consolidate Your Data
Assemble your findings in one place, either a CSV or a dashboard
Include competitor names, key metrics, and notable strategies
Feed It to ChatGPT
Prompt it to compare competitors on:
Content gaps
Keyword overlaps
Backlink quality
Use a prompt such as:
“Analyze these three competitors’ SEO strategies. What content gaps exist? Which keywords are low-competition wins, and where can we outrank them?”
Extract a SWOT-Like Breakdown
Let AI pinpoint each competitor’s strengths and weaknesses
Identify areas where you can differentiate your content and outrank them
Example In Action
Imagine you have data for:
Competitor A: Dominates blog content, has strong backlinks, but weak on local SEO
Competitor B: Excels with video content and mobile UX, yet struggles with on-page optimization
Competitor C: Ranking well for product-related keywords, but less effective at building long-tail content
AI might return:
Strengths:
Competitor A’s backlink profile offers insights for your link-building strategy.
Competitor B’s mobile optimization is a model for responsive design tweaks.
Weaknesses:
Competitor A’s lack of local targeting provides you the chance to capture nearby audiences.
Competitor C’s shortfall in long-tail content reveals a niche you can dominate.
Opportunities:
Focus on comprehensive content that bridges the gap between informative blog posts and localized content.
Leverage competitor C’s weaknesses in long-tail keywords to target untapped customer queries.
This clear snapshot lets you decide exactly where to double down your efforts.
Your Role: The Strategist’s Lens
AI processes the data, but you’re the one who:
Contextualizes: Connect competitor trends to your unique market situation
Decides: Determine which gaps are worth pursuing based on business priorities
Executes: Develop targeted campaigns to exploit these identified opportunities
Pro Tip: Use the insights as a conversation starter in your team meetings or client updates. Ask the AI to draft a brief executive summary:
“Write a 200-word summary comparing our top 3 competitors, highlighting key opportunities and threats in our market.”
This summary can help you focus your next steps, adjust your tactics, and keep your stakeholders informed.
Competitor analysis with AI transforms endless data rows into a strategic blueprint. You’re not just spying, you’re crafting a plan to outmaneuver the competition.
Final Thoughts: You’re Not Being Replaced: You’re Being Upgraded
The future of SEO isn’t man vs machine. It’s strategist + AI = unstoppable.
AI doesn’t have your instincts, your creativity, or your ability to read the room (or the Google algorithm tea leaves). But it can free you from the digital grunt work so you can double down on what matters: smart strategy, clean UX, and content that actually converts.
In this AI-powered era, you don’t need to fear irrelevance. You need to fear stagnation.
Key Takeaways: Why AI Isn’t Stealing Your Job
AI is your assistant, not your enemy. Let it handle the repetitive tasks so you can focus on strategy and storytelling.
Every part of the SEO workflow is ripe for integrating AI, from keyword research to internal linking and competitor analysis.
The real value still comes from you. AI can write, but you bring brand, nuance, and impact.
You’ll move faster, scale smarter, and stay ahead of competitors who are still stuck in 2022.
FAQ: Why AI Isn’t Stealing Your Job
What are the best tools to combine with ChatGPT for SEO?
Screaming Frog (tech audits), Semrush or Ahrefs (keyword + competitor data), SurferSEO or Frase (content optimization), Link Whisper (internal linking), GA4 (performance reporting).
How do I avoid creating AI-written content that feels robotic?
Give clear briefs, control the tone, and always add your human touch, personal stories, expert quotes, brand voice, etc.
Can AI really help with analytics and reporting?
Absolutely. AI can summarize trends, find anomalies, and generate plain-English reports your clients will actually understand.
What should I never fully automate with AI?
Final content approval, strategic decision-making, and client communication. Those still need a you.
Midwest Events Spotlight: Why Regional Conversations Around AI Matter
While AI is often discussed in global terms, some of the most exciting and practical conversations are happening right here in the Midwest. Case in point: Cincy AI Week—a multi-day event that brings together business leaders, digital strategists, and tech innovators from across the region to explore the real-world impact of artificial intelligence.
We were especially inspired by the focus on augmented intelligence—how tools like ChatGPT, AI-assisted research, and automation platforms are helping marketers and creators do more without replacing the human touch. That philosophy aligns perfectly with our belief at Matchbox Design Group: AI isn’t stealing your job—it’s promoting you.
As a St. Louis-based digital strategy agency, we’re always tuned into regional trend.
Contact Matchbox Design Group Today!
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James is a savvy digital marketing specialist with a Masters of Science in Internet Marketing. For the past fourteen years, he has been specializing in SEO, PPC & Marketing Strategy. He has a super sharp analytical mind and a finely tuned creative eye for marketing initiatives that optimize brands.
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