AI Can Handle Your SEO Basics. Here's What It Can't Do.
Learn four tactics that go beyond what AI will tell you about SEO
AI has made the fundamentals of SEO more accessible than ever, and honestly, that’s a good thing. If you’re a business owner who’s been putting off fixing your title tags, cleaning up your meta descriptions, or improving your page speed, tools like ChatGPT and Claude can walk you through the basics in plain English. No jargon. No mystery. Just clear instructions you can follow.
That’s genuinely great. I mean it.
But here’s what I’ve seen after nearly three decades in this industry: knowing the basics and winning with them are two very different things. And in 2026, the basics alone won’t get you where you need to be.
As I wrote in a previous article, The Superpower Paradox: Why AI Means Working Harder on What Really Ranks, AI has handed everyone the same superpower. When every competitor has access to the same AI tools, using them isn’t an advantage anymore. It’s table stakes. The real opportunity is in what you do beyond the basics, and that’s where things get interesting (and, admittedly, more complex).
The DIY Trap: When “Good Enough” Isn’t
Let me be clear: I’m not here to scare you away from doing SEO yourself. If AI helps you get the essentials right, that’s a win. What concerns me is what I see regularly in my consulting work: business owners who used AI to handle their SEO, got the fundamentals mostly right, but missed the strategic layers that actually move the needle. Worse, some implemented AI suggestions incorrectly without realizing it, and didn’t catch the problem until their traffic had already dropped.
The tricky part? Even when AI gives you the right advice, the implementation still matters enormously. A 301 redirect is simple in concept. Implementing a redirect strategy across hundreds of pages without creating loops, chains, or orphaned content? That’s where experience earns its keep.
So think of this article as an honest look at what lies beyond the basics. These are four tactics (among many) that can meaningfully improve your visibility in both traditional and AI-powered search. Some of them you can start on your own. Others will show you exactly why this work has layers that AI alone can’t navigate.
1. Entity Optimization: Teaching AI Search Engines Who You Are
Most SEO guidance (including what AI will give you) focuses on keywords: what terms to target, where to put them, how often to use them. That’s important, but it misses a fundamental shift in how search engines (and AI systems) actually understand the web now.
Modern search engines don’t just match keywords. They build an understanding of entities, which are the people, businesses, places, and concepts that exist in the real world. Google has been doing this for years with its Knowledge Graph. AI search tools like ChatGPT, Perplexity, and Google’s AI Overviews take it even further, pulling together information from multiple sources to build a picture of who you are and what you’re known for.
Here’s why this matters for your business: if search engines can’t clearly identify your business as a distinct entity with specific expertise, you’re invisible in this new landscape. And if the information about you across the web is inconsistent, you’re actively confusing the systems that decide whether to recommend you.
What to focus on:
Structured data markup (sometimes called schema markup): This is code you add to your website that explicitly tells search engines what your business is, what you do, and how to categorize you. Organization schema, LocalBusiness schema, Person schema for key team members. Ask AI to help you generate the code, but make sure someone who understands the nuances reviews the implementation.
Tip: You can even take it to the next level (we do for many clients at StepForth) to create a knowledge graph from your own website that you can hand to Google and AI.Consistent identity across the web: Your business name, address, phone number, and description should be identical everywhere. Google Business Profile, LinkedIn, industry directories, your website. Inconsistencies confuse entity recognition.
Google Knowledge Panel: If you don’t have one, work toward earning it. If you do, make sure it’s accurate. This is essentially Google’s public statement of who you are as an entity. If you’d like to earn yourself a Google Knowledge Panel (a powerful benefit in AI results), contact me, I can direct you to obtain what is needed and then help you secure it.
The catch? AI tools can help you generate schema markup, but they won’t audit your entity presence across the web, identify inconsistencies, or build a strategy for strengthening your entity signals over time. That takes a systematic approach and experienced eyes.
2. Strategic Internal Linking Architecture (Not Just “Add More Links”)
If you ask AI for internal linking advice, you’ll get something like: “Link related pages together using descriptive anchor text.” That’s correct. It’s also like telling someone learning to cook that they should “combine ingredients and apply heat.”
Strategic internal linking is one of the most powerful (and most misunderstood) SEO tactics available. Done well, it tells search engines which pages are your most important, how your content topics relate to each other, and where your deepest expertise lives. Done poorly (or not at all), you end up with orphan pages that nobody finds, content that competes against itself (called keyword cannibalization), and authority that’s spread so thin it doesn’t help anything rank.
I’ll be honest: this is an area where I’ve invested significant effort developing a comprehensive process for my clients. It involves analyzing a business’s various customer personas, evaluating existing rankings, auditing all website content for overlap and cannibalization, and then building a topical SEO strategy that provides clear, prioritized guidance for implementation. I’ll be writing about this process in more detail in an upcoming article, but I can tell you this: I tried to have AI handle this process on its own, and it couldn’t come close. The analysis requires judgment calls, contextual understanding, and strategic thinking that current AI simply doesn’t have.
What you can start doing now:
Identify your core topics: What are the 5 to 10 subjects your business should be known for? Each one should have a comprehensive “hub” page with supporting content linking back to it.
Check for cannibalization: Search your own site (use “site:yourdomain.com keyword” in Google) and see if multiple pages compete for the same terms. If they do, evaluate their reason for existing individually; if they don’t have a good reason, that’s a problem AI likely won’t flag for you.
Audit your orphan pages: Pages with no internal links pointing to them are essentially hidden from search engines. Your site likely has more of these than you think.
This tactic is a perfect example of something that sounds straightforward but has enormous depth. The more content your site has, the more complex (and more valuable) a proper internal linking architecture becomes.
3. Earning Citations in AI Training and Retrieval Sources
Here’s a question most businesses aren’t asking yet: Where do AI search tools get their information about your industry?
When someone asks ChatGPT, Perplexity, or Google’s AI Overview a question your business should be answering, those systems pull from sources they trust. If your business (or your content) isn’t referenced in those sources, you’re not part of the conversation. Period.
This is the modern evolution of link building, but with an added dimension. Traditional link building focused on earning links to improve your PageRank (a measure of your site’s authority in Google’s eyes). AI citation building focuses on getting your business, your expertise, and your content mentioned in the places AI systems actually reference when generating answers.
Sources that AI systems tend to trust:
Well-established industry publications and trade journals
Reputable, well-maintained directories specific to your field
High-authority blogs and media outlets
Wikipedia and its references (if relevant to your field)
Government and educational (.gov, .edu) resources that mention your business
Professional association sites
What you can do:
Write guest articles for respected publications in your industry, not with a sales pitch, but with genuine insights from your experience
Make sure your business is listed in the directories that matter for your specific field (not generic, low-quality directories)
Contribute expert quotes to journalists (services like Help a Reporter Out, or HARO, can facilitate this)
If your business has original data or research, publish it. AI systems love citing primary sources
The challenge here is that this isn’t a one-time task. Building the kind of presence that AI systems reference requires sustained effort and a genuine reputation in your space. There’s no shortcut, and AI tools certainly can’t build this reputation for you.
4. Reverse-Engineering AI Search Results for Your Niche
This is my favourite tactic to share because it’s something you can start doing today, and it will immediately change how you think about your SEO strategy.
Here’s the exercise: Open ChatGPT, Perplexity, and Google (with AI Overviews enabled). Type in the questions your customers actually ask before they buy from you. Not your keywords. The real questions. “What should I look for in a [your product/service]?” or “How do I choose between [option A] and [option B]?” or “Is [common concern in your industry] something I should worry about?”
Now study the results carefully:
Who gets cited? Are your competitors showing up? Are industry publications you could contribute to showing up? Are you showing up?
What format do the answers take? Do AI systems prefer listicles, step-by-step guides, comparison tables, or narrative explanations for your type of queries?
What content patterns emerge? What topics keep appearing that you haven’t covered on your site?
What’s missing? Where are the AI answers incomplete, generic, or just plain wrong? Those gaps are your opportunity.
This kind of competitive intelligence is incredibly valuable, and it’s something most businesses (including many that hire SEO agencies) aren’t doing yet. It shows you exactly what AI systems consider authoritative in your space, and reveals where your content needs to improve.
A practical starting point: Create a spreadsheet. List 20 questions your customers commonly ask. Run them through ChatGPT, Perplexity, and Google. Track who gets cited, what format the answers use, and where your business is absent. That spreadsheet becomes a roadmap for your content strategy.
The thing is, doing this exercise once is useful. Doing it systematically over time, tracking changes, identifying trends, and adjusting your strategy accordingly? That’s where the real competitive advantage lives.
There’s More to This Story
These four tactics are a starting point, not the full picture. There are additional strategies (from technical optimizations like crawl budget management and log file analysis, to advanced content approaches like programmatic content and multi-format publishing) that can further separate your business from competitors. I may cover more of these in future articles, but you are always welcome to post your questions in the comments or book a free strategy call with me on StepForth.com.
But here’s the honest takeaway: the gap between “AI-assisted SEO basics” and “comprehensive, competitive SEO strategy” is wider than most people realize. That gap isn’t something to be afraid of. It’s something to be aware of, so you can make informed decisions about where to invest your time and resources.
Where Do You Go From Here?
If you’ve read this and feel confident tackling some of these tactics yourself, go for it. Start with Tactic 4 (reverse-engineering AI search results) because it costs nothing, takes about an hour, and will give you a clear picture of where you stand.
If you’ve read this and feel like there’s more complexity here than you want to navigate alone, that’s a perfectly reasonable conclusion too. This is what we do every day at StepForth Web Marketing. Whether you want strategic consulting to point you in the right direction or a team to handle the full scope of work, we’d love to hear from you. Sometimes a single conversation can save months of trial and error.
Either way, the worst thing you can do is assume AI has SEO handled. It’s a powerful starting point. But starting points, by definition, aren’t where the journey ends.




Point 4 is the one people will underestimate the most.
The “AI SEO basics” are easy, the hard part is building a repeatable way to observe what these systems reward and then close the gaps.
One thing that helped me make this more actionable is treating it like a monitoring loop, not a one-off experiment.
Run a fixed set of real customer questions weekly, capture (1) what got cited, (2) what sub-questions the model expanded into, and (3) what answer format it preferred.
That gives you a backlog that is way more concrete than “optimize for AI”.
I’ve actually shipped a feature in my SEO browser extension, Sprout SEO, a couple of weeks ago that surfaces these query fan-outs + cited sources for ChatGPT/Gemini outputs.
Mainly because doing this manually was such a pain and you don’t automatically need to start paying big bucks for tools if you can surface this information yourself.
It’s been useful to spot “oh, we’re missing a whole subtopic cluster” or “we keep losing citations to the same 3 domains”.