Here's a confession that might get my CMO card revoked: I spent the better part of 2024 obsessing over individual keyword rankings like they were fantasy football scores. Every Monday morning, my team and I would huddle around dashboards, celebrating a climb from position 7 to position 4 on some long-tail query, completely missing the forest for the trees.
The trees, it turns out, were on fire.
The way buyers find answers has fundamentally shifted, and most of us are still measuring success with a ruler built for a different game. When someone asks an AI assistant about your category, your brand is either part of the answer or it isn't. And that answer isn't assembled from a single query anymore. It's stitched together from dozens of related searches happening simultaneously behind the scenes.
Semrush just dropped a framework they're calling Topical Gravity, and honestly, it's the first mental model I've seen that actually matches how search works in 2026. The core idea is deceptively simple: stop planning and measuring at the keyword level. Go one level up. Own topics.
The Query Fan-Out Problem Nobody's Talking About
Let me paint you a picture of what's actually happening when a potential buyer types a question into ChatGPT or triggers an AI Overview in Google.
According to Google's own documentation, AI Overviews use something called query fan-out. The system takes your single question, breaks it into subtopics, and runs multiple related searches to build one comprehensive response. OpenAI describes ChatGPT search in similar terms: a single request becomes multiple search queries, and the answer gets grounded in whatever sources those parallel searches retrieve.
Think about what that means for your carefully optimized landing page. You could be ranking beautifully for the exact query you're tracking, yet completely absent from the surrounding searches that actually feed the AI's answer. You're winning a battle that's no longer being fought.
It's like showing up to a basketball game with a tennis racket. Technically, you brought sports equipment.
Domain Authority Isn't the Whole Story Anymore
Here's where it gets interesting, and where a lot of conventional SEO wisdom starts to wobble.
The Semrush analysis of 50,000 brands found something that should make every marketing leader sit up straight: in nearly half of the topics they analyzed, the runner-up brands had stronger domains. Higher Authority Scores. More traffic. More branded searches. And they still lost.
What separated winners from losers wasn't overall site strength. It was topical authority.
This is the marketing equivalent of discovering that the biggest gym in town doesn't automatically win the most members. The specialized boutique fitness studio that owns "high-intensity interval training for busy professionals" beats the mega-gym that offers everything but dominates nothing.
The data also showed that AI platforms name brands they already associate with a topic. ChatGPT isn't doing fresh competitive analysis every time someone asks a question. It's drawing on existing associations, existing authority, existing topical gravity.
Building Your Topic Portfolio
So how do you actually operationalize this? The framework breaks down into four moves:
Define the topics your brand needs to own. Not keywords. Topics. These are the conceptual territories where you want to be the default answer. For a B2B SaaS company, this might be "enterprise data governance" or "AI-powered customer segmentation." The topic is the umbrella; the keywords are the rain.
Build authority across each topic systematically. This means creating content that covers the full landscape of questions within a topic, not just the high-volume head terms. The AI is looking for comprehensive coverage. It wants to see that you've thought about the subtopics, the edge cases, the "what about" questions that real buyers ask.
Measure your share of each topic against competitors. This is where most teams need to rewire their dashboards. Instead of tracking individual keyword positions, you're tracking topic ownership. What percentage of the AI-generated answers in your category include your brand? How does that compare to your top three competitors?
Expand into adjacent topics strategically. Once you've established gravity in one topic, you can extend into related territories. The authority you've built creates a foundation for expansion.
The Measurement Shift That Actually Matters
I've been in enough boardrooms to know that frameworks are lovely, but executives want to know what to actually measure. Here's the shift:
Old model: "We rank #3 for 'enterprise CRM software.'"
New model: "We appear in 47% of AI-generated answers about enterprise CRM, up from 31% last quarter. Our main competitor appears in 62%."
The second metric tells you something actionable. The first tells you about a single query that may or may not influence the actual answers buyers receive.
This doesn't mean keywords are dead. They're still the building blocks. But they're building blocks, not the building. You don't evaluate a house by counting bricks.
What This Means for Your 2027 Planning
If you're heading into budget season with a search strategy that's still organized around keyword lists and individual query rankings, you're planning for a game that's already changed.
The brands that will win the next two years are the ones building topical gravity now. They're identifying the five to seven topics that matter most to their buyers, creating comprehensive content ecosystems around each one, and measuring their share of AI-generated answers rather than their position on individual SERPs.
The good news? Most of your competitors are still counting bricks. The window to establish topical authority is open, but it won't stay open forever. AI platforms are forming their associations right now, deciding which brands belong in which conversations.
The question isn't whether you rank for a keyword. The question is whether you're part of the answer when a buyer asks about your space.
And if you're not sure, that's probably your answer.
