What Is GEO and Why PR Teams Need to Pay Attention
GEO stands for Generative Engine Optimization: making your brand more likely to appear in AI-generated answers. Here is why it matters for PR teams and how to start closing the gaps.
There is a new question every brand should be asking: when someone asks ChatGPT, Perplexity, or Claude about your category, does your brand come up?
If you do not know the answer, that is worth finding out. That is what GEO is about.
What GEO means
GEO stands for Generative Engine Optimization. It is the practice of making your brand more likely to be cited, mentioned, or recommended in AI-generated answers.
If SEO is about ranking in Google, GEO is about showing up in the answers people read from ChatGPT, Gemini, Claude, Perplexity, Exa, and Grok.
The two are related but not the same. A brand can rank well in Google and still be invisible in AI answers.
Why this matters now
AI search is not replacing Google overnight. But a growing share of research-stage queries now happen inside AI tools, not just Google.
When a potential buyer asks ChatGPT to recommend PR software, or asks Perplexity to compare media monitoring tools, the brands that get mentioned are the ones that win that moment.
If you are not in those answers, you are not in the consideration set for that buyer at that time.
How AI answers get built
Most AI systems pull from content that has been well-cited by credible sources: news coverage, blogs, comparison pages, reviews, and authoritative reference material.
That overlap matters for PR teams. Getting covered by publications that AI systems trust is one of the most direct ways to improve GEO. The other lever is appearing in the content those systems already reference, including comparison guides, industry how-tos, and category pages.
PR work is, in many ways, already the right activity for GEO. The difference is being intentional about where coverage lands.
What a GEO gap looks like in practice
A GEO gap is a query where a competitor gets cited and you do not.
Someone asks "what is the best PR software for agencies" and ChatGPT mentions Muck Rack, Cision, and Propel, but not your brand. That is a gap. A real buyer intent moment happened, and you were absent.
GEO tracking surfaces these gaps systematically: across multiple AI engines, across multiple query types, so you can see where you are invisible and prioritize where to build presence.
How GEO differs from SEO
SEO optimizes for search ranking algorithms. GEO optimizes for whether AI systems surface your brand when someone asks a relevant question.
The tactics overlap at the edges. Content quality, domain authority, and backlink signals all influence both. But GEO also depends heavily on whether your brand is mentioned in the sources that AI systems trust and whether your content directly answers the questions people are asking.
A keyword-stuffed page can rank in SEO and still be invisible in AI answers. A well-cited article in a credible trade publication might not rank highly in Google but could drive significant AI mention rate.
What PR teams should do about GEO
The strategy is cleaner than most people expect.
First, identify which queries you are losing. Which questions in your category produce answers that mention competitors but not you? That is where the gap is.
Second, trace what sources are being cited in those answers. Which outlets is the AI pulling from? Those are the publications to prioritize in your outreach.
Third, run targeted outreach to get your brand mentioned in those sources. This is standard PR work, aimed at a more specific target set.
Fourth, track whether new coverage starts to shift the answer pattern. Scan the same queries again in sixty or ninety days and see whether the responses have changed.
That is the same loop as traditional earned media, aimed at a different distribution surface.
Why tracking across multiple engines matters
Manual GEO research is possible but incomplete. You can ask ChatGPT the same question ten ways and look at what comes up.
The problem is that ChatGPT, Claude, Gemini, Perplexity, Exa, and Grok do not give identical answers. A brand can be visible in one and invisible in three others.
Tracking across all six engines simultaneously gives you a complete picture of where you stand and where the gaps are sharpest.
How RunPR handles GEO tracking
RunPR includes AI Visibility tracking built into the product. Standard scans run across ChatGPT, Perplexity, and Exa. Deep scans add Claude, Gemini, and Grok.
Each scan reports brand mention rate, citation rate, founder mention rate, competitors cited against you, and the specific queries where your brand was absent. Outreach drafts to cited sources are generated automatically and dropped into the same pitch queue your team already uses.
Studio and Agency plans scan multiple brands weekly. Agency plans include priority burst scanning every three days for top client brands.
It has productized GEO scanning across six engines, built into the same system that runs your outreach. If AI visibility is a client deliverable you need to measure and improve, see the features overview or run a free visibility audit.
What to do next
Start by knowing where you actually stand. Run a quick scan on your brand or a client brand, see which AI engines are mentioning you and which are not, and identify the competitor gaps.
From there, the path is familiar: get the right coverage, in the right places, in the sources that AI systems draw from. The workflow is PR. The surface is new.
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