What Is Generative Engine Optimization (GEO), and Who Can Do It For You?

By Abhiijay Vinayak, co-founder of Beamcite. Last updated August 31, 2026.

TL;DR

Generative engine optimization (GEO) is the practice of improving how clearly a business and its evidence can be retrieved, cited, or named in AI-generated answers. The term comes from a 2023 Princeton-led research paper that ran controlled experiments and found that several content changes improved visibility in its test environment. GEO is not a replacement for SEO; it is an additional authority, content, and measurement layer aimed at AI answers. You can run it yourself, hire an agency, use a monitoring platform, or use a managed implementation. Beamcite runs a managed 90-Day Visibility Plan for founder-led software companies without a capable in-house organic team. Scope can include research, authority architecture, human-reviewed content, publishing, measurement, and iteration, with exact output and commercial terms agreed on the founder call.

Quick navigation:

• Comparing the tools and services that do this? -> Best AI Visibility Tools and GEO Services in 2026
• Want to understand the managed option? -> Managed GEO Content With Human Review
• Want to try doing it yourself first? -> How to Get Your Business Cited and Recommended by AI
• Just want the definition? You are in the right place. Keep reading.

What generative engine optimization actually is

Generative engine optimization is the work of getting your content pulled into the answers that AI assistants generate, and getting your business named as a recommendation inside them. Where traditional search returns a list of links and lets the user pick, a generative engine reads multiple sources, synthesizes them, and speaks a single answer. GEO is how you make sure your page is one of the sources it reads and one of the names it speaks.

The term is not marketing jargon someone invented to sell a service. It comes from research. In November 2023, a team led by Pranjal Aggarwal at Princeton University, working with Georgia Tech, the Allen Institute for AI, and IIT Delhi, published a paper titled "GEO: Generative Engine Optimization" that named the field and ran the first controlled experiment on it (the Princeton GEO study). They tested content strategies across roughly 10,000 real queries in 25 domains and measured how often each change got content surfaced in AI answers. The headline result: the right structure raised a page's visibility in generative engines by up to 40%, and lower-ranked pages gained the most.

So GEO has a definition with evidence behind it. In practice, it is the work of improving the sources, structure, entity clarity, and third-party corroboration available to generative systems, then measuring mentions and citations directly. Beamcite offers that managed implementation to founder-led software companies without a capable in-house organic team.

Why GEO matters now

The reason GEO went from an academic paper to a line item in marketing budgets is that buyer behavior moved. ChatGPT reached roughly 900 million weekly active users by OpenAI's February 2026 count, more than double its February 2025 figure (TechCrunch). People are not only chatting with these tools, they are using them to decide what to buy and who to hire.

That shift is pulling clicks away from the open web. A Pew Research Center analysis of real browsing data found users clicked a traditional result on only 8% of searches that showed an AI summary, against 15% when no summary appeared, and just 1% clicked a link inside the summary itself. Bain & Company reports that about 60% of searches now end without the user visiting any website, a zero-click pattern it estimates is cutting organic web traffic by 15% to 25% (Bain & Company). Gartner went further and predicted traditional search volume would fall 25% by 2026 as AI agents absorb queries that used to start at a search box (Gartner).

Put those together and the conclusion is plain. When a buyer asks an assistant "what is the best tool for X" or "who can do Y for me," the answer it speaks is the new shelf position. A page-one ranking still has value, but it matters a little less every quarter if the buyer never scrolls a list. GEO is the work of being in the answer instead.

GEO vs SEO: what is actually different

GEO does not replace SEO. Google says its generative Search features use its core Search systems, while ChatGPT and Perplexity publish separate crawler controls. The shared foundation is a public, crawlable, useful page. The practical distinction is the surface and the evidence used to measure the result.

	Traditional SEO	Generative engine optimization (GEO)
The goal	A high rank in a list of links	Being cited and named inside an AI-generated answer
The win	The user clicks your result	The assistant speaks your business as the recommendation
Primary metric	Rankings, clicks, organic sessions	Citations and mentions in ChatGPT, Perplexity, Gemini
Example work	Crawlability, page relevance, internal links, and authority	Source-backed answers, entity clarity, third-party corroboration, and direct prompt-and-citation measurement
How a buyer finds you	Searches, scans the list, picks a link	Asks a question, hears a short answer with a few sources

The practical takeaway is that GEO is a measurement and authority layer around useful content, not a switch you flip instead of SEO. If you are deciding where direct-answer optimization fits, the AEO vs GEO vs SEO comparison separates the page purpose and measurement for each without pretending they are rival strategies.

What the work involves

The Princeton study is useful here because it tested specific content interventions in a controlled environment. Adding citations to credible sources, direct quotations, and relevant statistics improved visibility in those experiments, while keyword stuffing did not. The paper did not test schema markup or publishing cadence, so neither should be presented as one of its findings.

In practice, Beamcite uses the paper's tested interventions as content hypotheses and treats the rest of the workflow separately. Crawlability, supported schema that matches visible content, internal links, third-party corroboration, and continued publishing are operational practices to test, not outcomes established by that paper. No schema type or publishing cadence guarantees that an engine will select a page.

None of that is exotic, but it is real work, and it is ongoing. That is why most businesses end up asking the second half of the question in this post's title: who can actually do it.

Who can do GEO for you

There are four honest answers, and the right one depends on how much time, budget, and in-house skill you have.

Do it yourself. If you have the time and you write well, you can learn GEO and run it in-house. The levers are public, the research is free to read, and a single founder who understands their market can produce genuinely citable content. The catch is that it is a recurring job, not a one-time project, and it competes with everything else a small team has to do. The walk-through in how to get your business cited and recommended by AI is the place to start if this is your path.

Hire an SEO or content agency. A traditional agency can add GEO to a broader marketing engagement. This works if your priority is still large-scale Google SEO and you have the budget for a retainer. The risk worth naming is that many agencies are still built around Google rankings and human clicks, the exact metric the data above shows is shrinking, and treat AI visibility as an add-on rather than the core deliverable.

Buy a self-serve platform. AI-visibility platforms can track prompts, citations, competitors, crawler activity, and referrals. Profound now also includes configurable content Agents for research, writing, optimization, and publishing. Your team still has to configure, review, and operate the platform. The Profound platform and Beamcite managed implementation comparison shows where that owner-of-work distinction matters.

Use a managed implementation. A managed service owns an agreed scope across research, authority architecture, human-reviewed content, publishing, technical work, measurement, and iteration. This is the fit for a founder-led software company without a capable in-house organic team. The fuller breakdown is in the managed GEO guide.

Beamcite sits in that last category. Its agreed scope can include research, authority architecture, human-reviewed content, publishing, technical work, measurement, and iteration. A human editor reviews material Beamcite publishes, while exact output, reporting cadence, and commercial terms are set on the founder call. That review reduces avoidable factual and positioning errors, but it does not guarantee a ranking or citation.

How you know GEO is working

The most common objection to any GEO effort is fair: if the goal is being mentioned inside an AI answer, how do you even know it is happening? AI answers change run to run, and no single dashboard owns the truth. The honest method is to triangulate three independent signals.

The first is Google Search Console, used for Google indexing, queries, impressions, clicks, and page performance. The second is direct AI checks, running fixed buyer prompts across ChatGPT, Perplexity, and Gemini and saving whether the brand is named and which URLs are cited. The third is referral and onboarding attribution, which can show when a visit arrived from an AI surface or when a customer reports that an assistant recommended the brand. Keep each layer separate: ordinary Search Console impressions are not proof of an AI citation. Beamcite can connect these measurements inside an agreed plan, with exact reporting cadence scoped on the founder call.

Who should do your GEO?

• A founder with time and a knack for writing: do it yourself, and use the citation levers from the research as your checklist.
• A company whose priority is still classic Google SEO at scale: a traditional agency fits, as long as AI visibility is genuinely part of the brief.
• A team that already produces content and only needs measurement: an AI-visibility monitoring tool is enough.
• A founder-led software company without a capable in-house organic team: a managed implementation can own the agreed research, authority, content, publishing, measurement, and iteration scope.

The bottom line

Generative engine optimization is the work of improving the evidence and entity clarity available to AI systems, then measuring whether the business is mentioned or cited. It is an additional layer on top of useful, crawlable content rather than a replacement for SEO. Who owns the work comes down to your team's capability: your team, an agency, a monitoring platform, or a managed implementation.

If buyers are already asking AI which tool or vendor to use, establish a dated prompt baseline before deciding what to change. Founder-led software companies that want the implementation owned can talk to the founder about Beamcite's managed 90-Day Visibility Plan. Exact scope, reporting, and commercial terms are agreed on that call.

Why Beamcite

Beamcite runs a managed 90-Day Visibility Plan for founder-led software companies without a capable in-house organic team. Depending on the agreed scope, the work may include research, authority architecture, human-reviewed content, publishing, technical improvements, direct AI mention and citation checks, Search Console analysis, and iteration. Exact output, reporting cadence, and commercial terms are scoped on the founder call, and the plan does not promise rankings or citations.

FAQ

What is generative engine optimization in plain terms?

Generative engine optimization, or GEO, is the work of improving the sources and entity information available to AI systems, then measuring whether a business is mentioned or cited. The term comes from a 2023 Princeton-led research paper that defined the field and tested specific content interventions in a controlled environment.

Is GEO the same as SEO?

No, but some implementation work overlaps. SEO measures visibility and traffic from search engines. GEO measures mentions and cited sources in AI-generated answers. Shared crawlability or content work does not make Google performance a proxy for ChatGPT or Perplexity visibility.

Can I do GEO myself?

Yes, if you have the time and write well. The cited GEO paper supports testing credible citations, relevant statistics, direct quotations, and other content interventions from its experiment. Schema and publishing cadence were not tested in that paper. Treat crawlability, supported markup, internal links, authority work, and continued publishing as separate operational practices whose results must be measured.

Who can do GEO for me if I do not want to run it?

There are three outside options: a traditional SEO or content agency that adds GEO to a broader engagement, an AI-visibility monitoring platform that measures your presence but still needs an operator, or a managed implementation that owns an agreed scope across research, authority, content, publishing, measurement, and iteration. Beamcite sits in the managed category and uses human review on material it publishes.

How do you measure whether GEO is working?

Use Search Console for Google indexing and search performance. Separately, run fixed buyer prompts across ChatGPT, Perplexity, and Gemini and save brand mentions plus cited URLs. Add referral and onboarding attribution where available. Each signal answers a different question, and ordinary Search Console impressions are not proof that an AI assistant cited the page.

Does GEO replace SEO?

No. Google's generative Search features use Google's core Search systems, while ChatGPT and Perplexity publish separate crawler controls and select sources on their own surfaces. A page should be public and crawlable for each relevant system, but Google performance does not prove or determine visibility in ChatGPT or Perplexity.

Written by Abhiijay Vinayak, co-founder of Beamcite. Beamcite runs a managed 90-Day Visibility Plan for founder-led software companies without a capable in-house organic team. You can talk to the founder.