How to Create an SEO Content Strategy (Follow Analyze AI’s Framework)

In this article, you’ll learn the exact framework we use to create our SEO content strategy at Analyze AI, and how to extend it for AI search so your work earns visibility in ChatGPT, Perplexity, Gemini, and Google’s AI Overviews alongside traditional Google.

1. Find topics with search traffic potential

The first job is finding topics your buyers actually search for. Without that, no amount of writing skill will save the strategy.

The fastest path is to start with three or four broad seed keywords related to your niche, expand them into a list of variations, and filter that list to keywords with real traffic potential.

For an SEO and AI visibility brand like ours, those seeds might be seo, keyword, content, ai search. For a coffee equipment shop, the seeds would be coffee, espresso, grinder, brew.

Drop those seeds into a keyword research tool and look at the matching terms.

You can use any keyword research tool you trust here. We’ve put together a list of 9 keyword research tools we recommend, and if you want a free starting point, our Keyword Generator and SERP Checker will get you most of the way there.

The number that matters most is traffic potential, not search volume. Traffic potential estimates the total monthly traffic to the top-ranking page for a keyword. Pages tend to rank for dozens of related keywords, so traffic potential is a more honest predictor of what you’ll get if you reach the top.

A second, faster path is to lift topics from competitors who already rank. Open their domain in a site explorer tool, look at their top pages, and note which pages drive the most non-branded traffic.

If a competitor with a similar size and audience ranks for a keyword and gets meaningful traffic from it, that keyword is likely worth your time. Our guide to SEO competitor analysis walks through this end to end.

Find the prompts your buyers ask AI

Search traffic potential is half the picture today. The other half is AI search demand. According to SparkToro, more than 20% of Americans are now heavy users of AI tools, and nearly 40% use them at least monthly.

Buyers don’t type queries into ChatGPT the same way they type them into Google. They ask longer, more specific, more conversational questions. “Best AI visibility tool for a small B2B SaaS team in 2026” is a typical AI prompt. “AI visibility tools” is a typical Google query.

You need both lists. The Google list comes from the keyword research above. The AI prompt list comes from talking to customers, reviewing sales call transcripts, and using a prompt discovery tool.

Inside Analyze AI’s Prompt Discovery feature, you can run an ad hoc search on any prompt and see which brands AI models cite in the answer. You can also surface prompts buyers in your category are likely asking, organized by funnel stage.

When you find a prompt where competitors get cited and you don’t, that prompt is now a topic in your strategy. We cover the full workflow in our guide to AI keyword research.

2. Check their business value

A keyword’s business value, or business potential, is how easy it will be to mention your product naturally while covering the topic. This is where many content strategies quietly fail. Teams chase volume, ignore intent, and end up with traffic that never converts.

Here is the scoring sheet we use.

Prioritize 3s and 2s. Touch the 1s only when the topic also brings strategic backlinks or authority. Skip 0s.

This is subjective and that’s fine. A 3 for a coffee subscription company looks nothing like a 3 for an SEO tool. The exercise forces you to be honest about whether traffic from a topic will move the business or just decorate the dashboard.

3. Analyze ranking potential

A keyword can have great traffic potential and great business value and still be a poor target for your team this quarter. Some keywords are simply too hard to rank for given your current resources.

We define ranking potential as the realistic chance of landing in the top three Google results, or earning citations in AI answers, with the resources you actually have.

We assess that across four signals.

Backlinks

Google has confirmed that backlinks remain one of its top ranking factors. The more high-quality backlinks the current top-ranking pages have, the harder it will be to displace them.

Run your target keyword through our Keyword Difficulty Checker to get a quick read. Then open the SERP overview and look at the linking domains for each page.

If the average top-three page has 80 linking domains and yours has 8, that’s a real gap. You can still target the keyword, but you’ll need a serious link strategy alongside the content. We cover building backlinks in our link building tools post.

Authority

Authority is contested. Google says it doesn’t directly score sites for authority. Many SEOs disagree, and the disagreement matters less than the practical question. Are the top pages on this SERP coming from sites significantly stronger than yours?

Our Website Authority Checker gives you a quick read on a domain’s strength. If every page on the SERP is from a domain ten times stronger than yours, the keyword is not impossible, but it’s a longer game.

Search intent

Search intent is what the searcher actually wants. Google has spent two decades figuring this out, so the SERP is your most reliable answer. Look at the top ten results and read them through three lenses.

• Content type. Blog posts, landing pages, product pages, videos, or tools.

• Content format. Listicles, how-to guides, comparison posts, or definitions.

• Content angle. The dominant promise. Speed, simplicity, depth, or originality.

If the SERP is full of free tools and you don’t have a tool to build, you can’t win that keyword with a blog post. You either build the tool, or pick a different keyword.

Quality

The fourth signal is harder to score and more important than the other three. If the top page is a 10,000-word guide that took six months to research, and your plan is a 1,500-word post written in two days, you’re not competing on quality.

Wirecutter ranks first for best air purifier because they tested 47 air purifiers. To beat them, you either test 50, do something genuinely different (test air purifiers in real homes for six months, for example), or pick a different keyword. There’s no shortcut.

After scoring all four signals, give the keyword a single ranking potential score from 1 to 3. Combine it with the business potential score. The 3-3 keywords are your priority list.

Now factor in AI ranking potential

Search ranking is no longer the only ranking that matters. A page can rank #1 on Google and still be invisible in ChatGPT.

To estimate AI ranking potential for a topic, run the prompt in a few AI engines and look at three things.

• Who gets cited. The pages and domains AI models reach for in your category.

• What format they prefer. Blogs, product pages, third-party reviews, or comparison sites.

• What gaps exist. Topics where competitors get cited and no obvious authority owns the answer.

Analyze AI’s Sources dashboard breaks this down across all the prompts in your tracked set. You see which domains AI models cite most often, what content types they prefer, and where the surface area is. If AI keeps citing G2 and Reddit threads in your category, your strategy needs to include those surfaces, not just your blog. We dig into this further in our research on how to rank on ChatGPT and how to rank on Perplexity.

4. Create high-quality, search-focused content

Once you have a list of keywords that pass all three filters (traffic potential, business potential, ranking potential), you start writing. Two phrases matter here. Search-focused and high-quality.

Search-focused means the content matches the search intent for the target keyword. You already analyzed intent in step 3. Now you build to it. If the top results are listicles, write a listicle. If they’re step-by-step tutorials, write a tutorial. Fighting the SERP is a losing strategy unless you have a unique angle that makes a fight worthwhile.

High-quality is harder to define. We use a simple test we call REACH.

• Real. Authentic and original. Brings a perspective the SERP doesn’t already have.

• Experienced. Written or reviewed by someone with hands-on knowledge of the topic.

• Accurate. Claims backed by sources. Opinions clearly marked as opinions.

• Clear. Plain language, no filler, illustrations where they help.

• Helpful. Solves the problem someone landed on the page to solve.

If you can’t honestly check off all five, the post will struggle.

This is also where the AI search dimension changes the work. AI models pull citations from pages they consider trustworthy and that contain clear, factual, well-structured passages. The same things that make a post genuinely useful to a human reader also make it more likely to be cited by an AI engine. Concrete numbers, clear definitions, scannable lists, and direct quotes from named experts all help.

In our research on 83,670 AI citations across ChatGPT, Claude, and Perplexity, we found that Claude favors blog content (43.8% of its citations), while ChatGPT and Perplexity lean heavily toward product pages (60.1% and 54.3%). Knowing which engine matters most to your category should shape the content type you produce.

If you want help moving from keyword to draft, our AI Content Writer builds research briefs, outlines, and drafts directly from the prompts and competitor URLs in your tracked set. It’s built around the workflow above, not the other way around.

5. Build off-site presence so AI engines cite you

This is the step missing from most content strategy guides, and the one that matters most for AI search. You can publish the strongest post on the internet and stay invisible in ChatGPT if no one else mentions you.

Across our 83,670-citation analysis, only 17% of AI citations went to brand websites. The other 83% went to third-party sources. Review sites. Reddit threads. YouTube. Industry publications. Wikipedia.

So your content strategy has to include earning placements outside your own domain.

• Get listed on G2, Capterra, and the review sites that rank for your category.

• Be present in Reddit and Quora threads buyers actually read. This isn’t spam. It’s showing up where the conversation already happens.

• Get cited in roundups, comparison posts, and “best of” lists on independent publications.

• Build a YouTube presence if your category has any visual or how-to dimension.

• Update your Wikipedia entry if your brand is large enough to have one. ChatGPT cites Wikipedia for 12.1% of its citations, so a clean entry is unusually high leverage.

Inside Analyze AI’s Competitor Intelligence, you can see which brands AI engines treat as competitors of yours, even ones you don’t track yet. Track the new ones, study where they get cited, and target the same surfaces. Most teams discover three or four competitor brands eating their AI visibility that they had no idea existed.

We cover this off-site playbook in detail in how to get mentioned in AI search.

6. Maintain high-quality content for both Google and AI

We don’t publish a post and forget it. The post almost never ranks on the first try. Even the ones that do rarely stay there. Search intent shifts. New competitors publish. Information goes stale. AI models reweight their citations as new sources appear.

There are two questions to ask every quarter for every important post.

1. Does it still match search intent? Google the keyword. If the SERP has shifted from listicles to tools, your listicle is no longer the right format.

2. Is the information still accurate and complete? Pricing, statistics, product features, and best practices all decay.

Our Content Optimizer flags pages losing organic traffic and shows you the gap between your content and the pages currently winning the SERP. It then suggests the specific edits, additions, and structural changes most likely to win back the position.

For AI visibility, the same maintenance loop applies. If a tracked prompt used to mention you and now doesn’t, the underlying content needs an update. Either the AI engine has reweighted toward a competitor or your post no longer answers the question well enough.

AI Traffic Analytics tells you which of your pages actually drive AI search visitors. The pages that do are the pages worth doubling down on. They are templates for your next ten posts, proof of what works in your category, and the maintenance priority when traffic dips.

How the framework looks in practice

Here is the full loop on one page.

Final thoughts

The framework is not complicated. Find topics that have traffic potential, business potential, and ranking potential. Create content that matches search intent and meets the REACH bar. Build off-site presence so AI engines have something to cite. Maintain everything you publish.

The discipline is what’s hard. Most teams skip step 2, get steps 3 and 4 half right, and never invest in step 5. That’s why most blogs underperform.

We don’t believe SEO is dead. We believe AI search is a second organic channel that runs on the same fundamentals. Clear, original, useful content, in places people and machines trust. Build a strategy that serves both, and you compound.

If you want to see how Analyze AI helps you do this in one place, start tracking your visibility across ChatGPT, Perplexity, Gemini, and Google AI Overviews.