Why Semrush GEO Confuses Everyone
Here's a fun party trick: ask five SEO people to define GEO and watch them give you seven answers.
Part of the problem is that the acronym arrived before the playbook did. Another part is that every tool vendor rushed to slap "AI" on its dashboards in 2025.
So here's a clean definition.
Semrush generative engine optimization is the practice of using Semrush's AI Visibility Toolkit to measure and improve how your brand appears in answers from ChatGPT, Google AI Overviews, Gemini, and Perplexity. It covers where you show up, how often, which of your pages get cited, and where competitors are getting the spotlight instead of you.
The big mental shift is this.
Traditional SEO optimizes for ranking position, meaning where your blue link sits on a results page. GEO optimizes for being cited, recommended, or summarized inside a generated answer, where there might not be a "position three" at all.
Think of it like a restaurant guide versus a friend's recommendation.
SEO gets you listed in the guide. GEO gets you named when someone asks, "Where should I eat tonight?"
And no, GEO isn't just a rebrand of AI SEO, LLM SEO, or answer engine optimization.
Those terms overlap, sure. But GEO as Semrush frames it centers specifically on citation and mention data, not SERP position tracking with a new coat of paint.
Here's what we'll cover.
First, what Semrush actually tracks (and what its numbers really mean). Then a practical audit workflow, why page-one rankings don't guarantee AI citations, and how to turn your gaps into content worth publishing.
Grab a coffee. This one's meaty.
What Semrush Actually Tracks
A dashboard full of numbers is only useful if you know what each number is measuring.
Otherwise it's just very expensive confetti.
Semrush's AI Visibility Toolkit boils down to six core outputs. Learn these once and every report starts making sense:
- Prompts: The questions and conversational queries Semrush tracks across AI platforms. This is the GEO equivalent of a keyword list, except people type them like they're texting a smart friend.
- Mentions: Instances where your brand name appears in the generated answer text, whether or not a link is attached.
- Citations: Instances where an AI platform links to a URL as a source for its answer. These are the closest thing GEO has to a backlink-plus-ranking combo.
- Cited pages: The specific URLs on your site (or competitors' sites) that AI platforms pull from. This tells you which content is actually doing the heavy lifting.
- Monthly audience estimates: Semrush's modeled estimate of how many people see answers for the prompts you track. Treat it as a sizing signal, not a guaranteed audience count.
- Share of voice: Your slice of total brand mentions across a prompt set compared with competitors. If AI answers in your category were a group conversation, this is how much of the talking you're doing.
Mentions, Citations, and Recommendations
These three get lumped together constantly, and that's where bad strategy starts. They measure different kinds of trust, and they call for different fixes.
- A mention means the model knows your brand exists and considers it relevant. It's awareness, which is great, but it may not send any traffic.
- A citation means the platform used your page as evidence. This is about content quality, structure, and accessibility, and it can drive referral clicks.
- A recommendation means you're named as the answer to a "best X for Y" prompt. This is the commercial jackpot, and it's usually driven by third-party sources like reviews, comparison articles, and forums.
Quick check-in: if your brand gets mentioned a lot but cited rarely, your reputation is outpacing your content. If you're cited but never recommended, your content is useful but your off-site proof is thin.
Different problems. Different fixes.
The AI Visibility Score, Honestly
Everyone loves a single number.
The AI Visibility Score is that number, and it deserves some healthy skepticism.
- It's directional, not absolute. The score reflects your performance across the specific prompts and platforms being tracked. Change the prompt set and the score changes too.
- It's not domain authority for AI. You can't compare your score with a random site in another industry and draw meaningful conclusions. It's a benchmark against your own past and your direct competitors.
- Trends matter more than snapshots. A score moving steadily upward over three months tells you far more than any single reading.
Platforms the Toolkit Covers
As of 2026, Semrush monitors the platforms where most AI search behavior actually happens.
Coverage isn't identical everywhere, though.
- ChatGPT: Including its search-enabled answers, which cite live web sources.
- Google AI Overviews and AI Mode: Google's generated summaries at the top of results pages and its more conversational search experience.
- Gemini: Google's standalone assistant, which behaves differently from AI Overviews despite the shared parent company.
- Perplexity: The citation-heavy answer engine that tends to show its sources prominently.
- Geography and database caveats: Coverage varies by country and database, so check that your target markets are actually included before trusting the numbers.
Your Semrush GEO Audit Workflow
Most GEO audits fail for a boring reason: people start with the reports instead of the questions.
Then they drown in data and publish nothing.
This workflow has three phases.
Each one has an input, an action, an output, and a decision rule so you know what's worth chasing and what's just noise.
Build a Prompt Portfolio
Prompt research is where GEO starts to feel genuinely different from keyword research.
People don't type "CRM software small business" into ChatGPT. They type "I run a 6-person agency and spreadsheets are killing me, what CRM should I use?"
Spot Your Citation Gaps
A citation gap is a prompt where competitors get cited or mentioned and your brand is nowhere to be seen. It sounds like keyword gap analysis.
It isn't.
Why separate this from keyword gaps? Because you can outrank a competitor on Google and still lose the AI answer entirely.
Keyword gaps tell you where you're missing from results pages. Citation gaps tell you where you're missing from the conversation.
Map Competitor Source Networks
Here's the sneaky part.
AI platforms often recommend competitors because of what other sites say about them, not because of anything on the competitor's own domain.
Still with me?
Good, because this is where most brands discover their GEO problem is really a PR problem wearing a technical disguise.
Why Rankings Don't Equal Citations
This one stings.
You can sit pretty at position two on Google and ChatGPT will act like your page doesn't exist.
That's because AI platforms use retrieval-augmented generation, a process where the model fetches sources, picks the most useful passages, and writes an answer from them. Each platform has its own retrieval sources, freshness preferences, and citation logic.
Ranking is one input at best.
Meanwhile, a page sitting at position eight sometimes gets the citation. Why?
Because it answers the exact question more directly, with clearer structure or stronger supporting evidence. AI systems reward content extractability: passages that make sense on their own, state facts plainly, and back them up.
Google ranks pages. AI answers rank passages. A brilliant page with its key answer buried in paragraph nine is a page the model will happily skip.
Platform Quirks That Matter
Treating all AI platforms as one big blob is a classic early mistake. They behave more like cousins at a family dinner: related, but with very different opinions.
Google AI Overviews lean heavily on Google's own index, so traditional SEO health carries more weight there.
Perplexity shows citations prominently and often favors fresh, well-structured sources.
ChatGPT mixes model knowledge with live search results, which is why brand reputation and entity clarity (how consistently the web describes who you are and what you do) matter so much.
Gemini, despite sharing a parent company with AI Overviews, can produce noticeably different answers for the same prompt. So when your Semrush data shows strong visibility on one platform and silence on another, that's not a bug.
It's the system working as designed.
A Technical Checklist First
Before you rewrite a single paragraph, make sure the machines can actually read your site.
You'd be amazed how many "GEO problems" turn out to be a blocked crawler.
Start with crawlability and robots.txt rules. Check that you aren't accidentally blocking AI crawlers like OAI-SearchBot or PerplexityBot, and decide deliberately which bots you allow.
Then confirm indexability, since pages with stray noindex tags or messy canonicals won't make it into anyone's retrieval pool.
Next, test JavaScript rendering. Many AI crawlers handle client-side rendering poorly, so key content should be present in the raw HTML.
Round it out with page speed, solid internal linking that connects related topics, accurate structured data, and verified access for AI crawlers in your server logs.
Now, a word on gimmicks.
You'll hear plenty about llms.txt files and aggressive content chunking, where pages get sliced into tiny fragments "for the AI." Some platforms experiment with these ideas, but that's not the same as official guidance.
Translation: fix the fundamentals before buying into the hack of the month.
The boring stuff works.
The shiny stuff... sometimes works, sometimes gets quietly abandoned six months later.
Turning Gaps Into Real Content
Finding gaps is the easy part. Semrush will hand you hundreds of them.
The hard part is deciding which ones deserve your limited time, budget, and sanity.
Prioritize by Business Value
The biggest trap in AI search optimization is chasing the prompts with the largest estimated audience.
Big numbers feel good.
They rarely pay the bills on their own.
Score each gap on six factors instead: business value, topical relevance, AI search intent, difficulty, citation opportunity, and conversion potential. A prompt like "best inventory software for Shopify stores under 500 SKUs" might have a modest audience estimate but a buyer-ready reader on the other end.
Compare that with "what is inventory management."
Huge volume, sure. But the person asking is probably writing a school assignment, and the AI answer will likely cite Wikipedia anyway.
Pick your battles.
Key takeaway: a gap with clear commercial intent and a winnable citation beats a high-volume gap you'll never realistically own.
Validate Before Publishing Anything
Semrush data is a map, not the territory.
Before you commit resources, go check the terrain yourself.
Take five to ten representative prompts from your priority list and run them manually across ChatGPT, Google AI experiences, Gemini, and Perplexity. Note who gets mentioned, which sources get cited, and how the answer is structured.
Do this in a logged-out or fresh session where possible, since personalization can skew results.
Watch closely for factual errors about your brand.
Outdated pricing, discontinued features, wrong founding dates... AI platforms repeat these with total confidence. Flag every one and fix the underlying source (your own pages, review profiles, directory listings) before publishing new content on top of shaky ground.
Validation also catches false positives.
Sometimes a "gap" exists because the tracked prompt wording is unusual, and real-world variations already include you. Ten minutes of manual testing can save you a week of unnecessary writing.
Scale Without Losing Quality
Here's the tension.
You've got 80 validated gaps, and the temptation to bulk-generate 80 AI articles is very real.
Please don't.
Thin, mass-produced content is exactly what AI platforms learn to ignore.
The Rankspiral approach tackles this with three connected systems.
First, a topical authority map that groups gaps into clusters, so every new page strengthens a topic rather than floating alone. Second, a six-pass article production process, where each pass has one job: structure, drafting, fact-checking, extractability, internal linking, and editorial polish.
Third, deliberate internal linking that ties each new page to its cluster and to relevant commercial pages. This helps crawlers understand relationships between topics and helps human readers find the next logical step.
It works across business models.
Ecommerce stores can turn comparative gaps into buying guides that link to category pages. SaaS brands can turn problem-aware prompts into use-case content tied to feature pages. Affiliate sites can build genuinely tested comparison content that earns citations instead of just mimicking them.
And then measure what matters.
Citation counts are a leading indicator, not the finish line. Track branded search growth, qualified referral traffic from AI platforms, assisted conversions, and ultimately revenue.
If your share of voice climbs but none of those budge, something in the chain is broken.
Frequently Asked Questions
What is generative engine optimization in SEO?
Generative engine optimization is the practice of improving how often your brand is mentioned, cited, or recommended inside AI-generated answers. It applies to platforms like ChatGPT, Google AI Overviews, Gemini, and Perplexity. It sits alongside traditional SEO but measures success by citations and mentions rather than ranking positions.
How do I optimize my website for generative AI search?
Start by making sure AI crawlers can access, render, and index your pages, then write content that answers specific questions directly with clear structure and evidence. Build a prompt portfolio, find citation gaps against competitors, and earn mentions on the third-party sources AI platforms already trust. Validate everything manually before scaling.
What is the difference between SEO and GEO?
SEO optimizes for where your page ranks on a results page, while GEO optimizes for whether your brand gets cited or recommended inside a generated answer. They share foundations like crawlability and content quality.
But a page can rank well in SEO terms and still be ignored by AI platforms, so the two need separate measurement.
How do I track my brand in ChatGPT search results?
The most reliable way is a dedicated tracking tool like Semrush's AI Visibility Toolkit, which monitors brand mentions and citations across a defined set of prompts. Supplement it with manual spot checks in fresh sessions. Remember that ChatGPT answers vary by wording and session, so trends across many prompts matter more than any single result.
Does Semrush track AI Overviews and ChatGPT mentions?
Yes, Semrush tracks brand mentions and citations in Google AI Overviews, AI Mode, ChatGPT, Gemini, and Perplexity.
Coverage can vary by country and database, so confirm your target markets are supported. Data availability also depends on your plan and toolkit configuration.
How do I increase my AI visibility score?
You increase your AI visibility score by closing citation gaps on prompts that matter, improving content extractability, and earning mentions on sources AI platforms cite. Keep in mind the score is directional and tied to your tracked prompt set. Focus on steady upward trends against direct competitors, not on the number itself.
The One Thing to Do Tonight
You've read 3,000 words about GEO. Congratulations, you now know more than most people writing LinkedIn posts about it.
Now let's make it count.
Tonight (or tomorrow morning, we're not monsters), pull Semrush's citation gap report for your top three competitors. Scan it for one gap with clear business value: a prompt a real buyer would ask, where a competitor gets cited and you don't.
Pick that one.
Fix it this week.
And here's your decision rule for every gap that follows:
If a page ranks well but isn't cited, improve its clarity and evidence first. If no page exists, brief a new one. Only after both are handled should you even glance at gimmick-based tactics.
One gap closed beats fifty gaps admired.
Go win one.