Blog

---

AI Search Optimization Simplified

Every day, more of us are turning to AI to search the web, and fewer people are reaching for traditional web search engines like Google or Bing when they want to find a product or service. Whether you're asking ChatGPT, Claude, Gemini, Llama, or Grok, using AI to find the best answer to your question is quickly becoming the new normal.

Yes, this is relatively new territory. We've spent three decades optimizing websites for traditional search engines, but buyer behavior is shifting, and businesses need to shift with it.

SEO isn't dead. But it's no longer enough on its own. Businesses now need to invest in what's broadly called AI Search Optimization — a field so new that it hasn't even settled on a name yet. You'll likely see it referred to as one of these labels:

• GEO or generative engine optimization
• AEO or answer engine optimization
• LLMO or large language engine optimization
• AIEO or AI engine optimization
• AISO or AI search optimization

What does all this alphabet soup actually mean? Are AEO, GEO, and the rest just different names for the same thing, or is there a real distinction worth caring about? Some "experts" will tell you that AEO gets you into AI-generated answers while GEO gets you listed among the sources — but we at Ellm think that's a distinction without a difference or just plain nonsense.

Here's what it really comes down to: when your prospective customers turn to AI to find a solution to their problem, can they find you? That's the whole game. Whether the AI cites you directly or surfaces you as a source, the goal is the same — visibility in the places where people are actually searching. That's why at Ellm, we keep it simple and call it all GEO.

Ellm makes it easy to track the queries and prompts your customers are using to find you, as well as to visualize exactly what's driving them to your site. From there, getting optimized takes all of 15 minutes, including signing up.

There are two ways Ellm does this: an HTML snippet you paste into your homepage, and an LLMs.txt file you drop into your web server's root directory. Together, these help generative engines understand what your business actually offers, so when someone searches for a solution you provide, your brand shows up.

This summer, Ellm is launching AI Ads: a platform that lets you create ads and place them directly inside Google AI Overviews, Gemini, and ChatGPT. We handle the performance monitoring too, so you always know what's working and where to increase future ad spend.

Try Ellm today. We offer a 14-day free trial of our Essential tier, and our Free Tier is free forever.

---

The playbook that built modern marketing — buy ads, rank on Google, get clicks, convert — is quietly breaking. Not a decade from now. Right now, inside the sessions your customers are opening on ChatGPT, Claude, Perplexity, and Google's AI Overviews.

We wrote a whitepaper about what's changing, why it's structural, and what brands need to do this quarter — not next year — to stay in the consideration set. You can download The GEO Imperative here. First, a taste of what's inside and why it matters now.

The numbers are no longer theoretical

Gartner projects a 25% decline in traditional search volume and more than 50% decline in organic traffic as users migrate to AI-powered discovery. Forty-eight percent of Google queries already trigger an AI Overview. ChatGPT alone crossed 400 million weekly active users. Enterprise customers we work with are reporting 25% to 80% drops in organic traffic as AI assistants absorb journeys that used to end in a Google click.

Here's the part that should sit uncomfortably with every CMO reading this: AI engines don't return ten blue links. They synthesize a single answer and cite three to five brands. There is no page two. If you aren't one of those three to five, you are — for that query, in that moment, to that customer — invisible.

The gap is already six-to-one, and it compounds

BrightEdge analyzed 500,000 queries and found a pattern that has become the single most important chart in our business. Brands that have optimized for AI engines appear in roughly 18% of AI responses. Brands that haven't appear in about 3%. Six-to-one.

That gap is not a snapshot. It is a flywheel. Large language models are trained and grounded on the content that earlier AI systems have already surfaced. Brands that enter the citation set early become more likely to be cited again — by the same engine, and by the next generation of engines that retrain on its outputs. Brands absent from AI answers decay in discoverability over time. Every month you wait, the cost of catching up goes up.

From discovery to transaction — the second shoe just dropped

For most of 2025, the conversation was about visibility. In 2026, it is about commerce. OpenAI and Stripe launched the Agentic Commerce Protocol (ACP). Google launched the Unified Commerce Protocol (UCP). Shopify is beta-testing AI search ads for its merchants. ChatGPT ads are expected to reach general availability this year.

Translation: AI is moving from a discovery layer to a transaction layer. Deloitte projects agentic commerce could drive up to $17.5 trillion in worldwide transactions by 2030. McKinsey projects $750 billion in U.S. revenue flowing through AI-powered search by 2028. The protocols that will govern how every agent-driven sale happens are being written in this calendar year. The brands that plug in first shape the standards. The brands that arrive late inherit them.

Why today's tools don't close the gap

We talk to marketing leaders every week who are trying to close this gap with the stack they already own. They can't, and the whitepaper explains why in detail. In short: SEO incumbents like Semrush and Moz were built for a world where engines rank — AI engines synthesize. Keyword-volume tools cannot tell you whether ChatGPT will cite you. A new wave of AI-visibility startups will tell you where you stand, but offer no path to fix it and no connection to ads or transactions. DIY in-house teams are staring at six-plus AI platforms, two emerging protocols, and expertise that barely exists yet. Most stall.

The new discovery stack: see it, fix it, sell it

The new playbook has three integrated layers, and each is necessary. See it — real-time measurement of how every major AI engine cites your brand, by query, by geography, by competitor. Fix it — platform-specific optimization that closes the citation gap, because what wins on Perplexity is not what wins on Google AI Overviews. Sell it — AI-search ads and agentic-commerce infrastructure that capture the revenue when an agent is ready to buy. Remove any one layer and the system breaks.

This is the loop Ellm was built to close. Brands deploy a single HTML snippet, and within a week they can see measurable lift in their Share of Model across ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews — benchmarked against named competitors, tied to attributable AI-search traffic.

Why now — and why we wrote this

We wrote The GEO Imperative because the category is forming right now, in real time, and most brands we talk to are still operating as though traditional SEO alone is enough. It isn't. The protocols are being written. The citation patterns are compounding. Enterprise marketers are already seeing the P&L effects. This is a window, not a standing invitation.

If you lead marketing, brand, growth, or e-commerce at a company that depends on being found — read the paper. It lays out the evidence, the framework, the competitive landscape, and the concrete steps that get you from "invisible in AI answers" to cited, benchmarked, and monetized across every major engine.

Download The GEO Imperative whitepaper →

The brands AI recommends will win. Make sure it's yours.