Search Isn't Dead, But Your Customers Have Stopped Clicking Links
This learn article explains GEO (Generative Engine Optimization) as earning brand mentions and citations inside AI-generated answers, compares ten GEO monitoring and optimization tools, and argues that SEO and GEO should be run in parallel.
A few days ago, a friend of mine who runs B2B software showed me his traffic report.
Halved.
A competitor didn't steal it. A platform didn't penalize him. Users simply stopped coming to his website. They just ask ChatGPT: "Which project management software is best?" The AI writes an answer and recommends three brands. The user reads it and closes the chat.
Gone.
My friend's brand wasn't one of the three.

First, Understand One Thing: What Is GEO?
What is GEO? Generative Engine Optimization.
With old-school SEO, you served the search crawler, and the goal was to get your page onto the first screen of results. With GEO, you're serving the model that writes the answers for users. Whether it mentions you when it writes those answers, whether it cites you — that's the new battlefield.
Y Combinator has an estimate: traditional search volume has already dropped by a quarter as of 2026, and is projected to be cut in half by 2028, with the difference swallowed entirely by generative engines like ChatGPT.
Think about what that means.
It means the playbook of the past decade — build a good website and wait for search traffic — is sitting on shifting ground. Brands that adapt early will get cited by AI again and again; brands that wait will slowly vanish from the answers. And users will never even know you're gone. That's the cruelest part.
So what do you do? Get tools. Measure first, then act. I've sorted through the ten worth a look on the market right now. Let's go through them one by one.
Ten Tools, Each Covering One Piece
AthenaHQ. The founders are engineers out of Google Search and DeepMind, and what they've built is a health check-up for your brand across ChatGPT, Perplexity, Claude, and Gemini: how users discover you on each AI, how the models describe you, which queries you perform strongly on and which you don't. The report doesn't just tell you what's happening — it tells you what to change. The Growth plan runs $900 a month, with one month free on annual billing. A good fit for teams that want to act, not just stare at dashboards.
Goodie AI. It's been ranked the number-one GEO tool. It monitors AI visibility, tracks brand mentions, and serves up content optimization suggestions — all in one product. The interface is clear, and the recommendations are concrete enough to turn into actual content changes. The downside: the full-featured version isn't cheap. For brands just getting started, it works well as a first stop.
Semrush. A veteran SEO vendor whose GEO features came later. The advantage is obvious: if your team already uses Semrush, traditional SEO and AI visibility live on one platform, and you don't have to stitch reports together. The trade-off is that its GEO layer runs one notch shallower than the specialist tools. If you're already on it, don't rush to switch.
Scrunch AI. It chews on one tough problem: making the content you've already published readable to AI. It analyzes how "legible" your content is to AI and suggests ways to raise your odds of getting cited. But brace yourself — acting on those suggestions usually means heavily reworking, or even rewriting, a pile of old content.
Peec AI. Tracks brand performance across models, pinpoints where AI citations come from, and runs recurring benchmark comparisons against competitors you choose, monitored cycle after cycle. The analysis runs deep. But the entry price is €120 a month — small companies can move along. It's built for large organizations running complex content strategies.
Rankscale. Watches Perplexity, ChatGPT, and Google's AI Overviews; site audits, content optimization, citation and brand-sentiment monitoring, competitor analysis — the whole set. A team serious about investing in AI search will put it to serious use. Of course, full-featured also means expensive.
Otterly. Automation is its calling card: brand mentions and links tracked automatically, broken down by country, with citations, ranking positions, and sentiment all monitored, and weekly reports delivered on autopilot. There's a free tier, and paid features start at $29 a month. If you want to save headcount, look here.
Knowatoa. Focused on rank tracking in AI search, tilted toward sales and lead-generation queries: when the model puts your competitors on top, you see it. It also does something few other tools do — analyze how the model "describes" your brand. There's a free trial, and paid plans start at $49 a month. Narrow in scope, but narrow in a way that earns its keep.
Geordy.ai. Where other tools handle "reporting," this one handles "doing" — automatically rewriting your content into forms AI can read and cite, auto-generating the right files, and automatically handling AI-first indexing. It saves labor, and it's fast. But its methodology and pricing are publicly vague; ask a few more questions before you sign.
KAI Footprint. Covers ChatGPT, Perplexity, and Google AI — plus DeepSeek. It analyzes how models describe your brand, throws in a community and a weekly newsletter, and the paid version adds custom reports starting at $99 a month, with a free tier to test the waters first. For teams building GEO capability from zero, its supporting content can save you some detours.
Ten tools, and not one of them does everything. The strong monitors don't do rewriting; the strong rewriters don't do competitor benchmarking. Figure out which piece you're missing first.
Three Glances Further Down the Road
Tools alone aren't enough — the direction has to be right. Three things are happening.
Multimodality. AI no longer understands the world through text alone; it reads images, audio, and video too. Adding structured markup to media, making visual content recognizable to AI, transcribing audio — these used to be bonus points. They're gradually becoming the passing grade.
Real-time data. RAG (retrieval-augmented generation) has changed how AI pulls information, and the weight of content freshness keeps rising. Updating regularly, plugging in real-time data sources, keeping content current — the old publish-once-and-forget model won't cut it anymore.
Entities. What you're optimizing is shifting from "keywords" to "entities": who you are, who you're connected to, what your attributes are. Plug into knowledge graphs, add structured data, spell it out plainly. What models recognize is no longer a pile of keywords — it's entities.
So Do You Still Do SEO?
Yes.
Traditional SEO still governs website traffic, domain authority, long-tail keywords, and conversions — none of which GEO replaces. GEO covers the other end: your brand's presence inside AI answers, your authority on the topics you care about, and reaching the AI-first crowd.

Put plainly, you need both hands. One hand grabs search rankings; the other grabs your seat at the table inside AI answers. Keep only one hand, and there will always be a battlefield you can't see.
Back to my friend. He eventually picked a tool and started measuring how often his brand got cited across the major models. The first month's numbers were ugly.
But at least now, the ugliness was visible.
Invisible blindness is far scarier than visible falling behind. Those are his words, verbatim. I think he put it well.