Molly McClure, Award-winning Marketing Executive & Fractional CMO, DrugScreens.com
Marketing never fails to adapt fresh acronyms into strategy decks. Think of SEO, CRO, ABM, and AEO. Now, make room for GEO.
Generative engine optimization rapidly turns into a major talking point across the marketing industry as companies figure out ways to get featured inside answers provided by Perplexity, Gemini, ChatGPT, and additional AI-driven discovery platforms. This shift is undeniable, and marketers clearly must grasp how artificial intelligence alters search and discovery.
I simply hope we manage not to spoil it.
The GEO Gold Rush Has Begun
You can practically spot the traditional marketing apparatus revving up. Conferences, KPIs, optimization tools, consultants, and fresh dashboards emerge. Somewhere out there, someone is undoubtedly updating their LinkedIn title to read “GEO Thought Leader.”
While fresh technology introduces valid opportunities, it simultaneously sparks an urge to concentrate on mechanical details prior to grasping the broader strategic shift. GEO serves as a prime illustration.
Marketers understandably pose the question, “How can we get ChatGPT to reference our brand?” While fair, I believe a superior question exists: How do we become the sort of source that merits a mention?
That minor shift in phrasing generates an entirely distinct marketing strategy.
Authority Is Harder to Automate
Conventional search offered marketers a reasonably straightforward objective: rank. AI-generated answers complicate this dynamic. A clean list of ten blue links might be absent altogether. Artificial intelligence systems can synthesize data from numerous sources to deliver an answer before a user ever visits your website.
Although the technology sounds exceptionally novel, the components required to secure visibility remain remarkably familiar: expertise, accuracy, valuable information, original perspectives, third-party endorsement, credible citations, robust backlinks, and a reputation extending far beyond your personal About Us page.
Technology shifts rapidly. Trust stays persistently challenging to automate.
We’re Using AI to Find the Story Before We Write It
This is precisely where artificial intelligence grows significantly more compelling, in my view.
Through my role as Fractional CMO of DrugScreens.com, we recently developed a real-time news initiative focused on drug screening utilizing Claude. Drug testing represents an unusually fascinating category for such an experiment because developments unfold state by state. Workplace-testing regulations change, legislation shifts, new substances surface, and regulatory guidance alters. An issue brewing in Oklahoma can differ entirely from one arising in Florida or Maryland.
Trying to monitor all 50 states manually is achievable. It also resembles an ideal method for squandering an entire afternoon while developing intense opinions regarding browser tabs.
Consequently, we employ artificial intelligence to assist in tracking the landscape. The project alerts us to potential drug-screening developments across individual states. Following that, human labor takes over. We investigate what transpired, validate the details, assess whether the matter holds relevance for our audience, and decide if we truly have anything useful to contribute.
That distinction matters. Artificial intelligence isn’t thrilling simply because it can churn out another article. It excites us because it helps us spot something earlier.
The World Can Become Your Content Calendar
For years, content marketing frequently commenced with the schedule: What material are we posting next week? Which keyword have we failed to cover? What content are we publishing on Thursday?
Nothing fuels groundbreaking thought leadership quite like realizing it is Tuesday and the content calendar features a blank square.
Artificial intelligence presents marketers with a chance to reverse this workflow. Rather than starting with the obligation to generate content, begin with the necessity to understand what is shifting. Track customer inquiries, research, legislation, fresh terminology, and rising problems. Observe industry developments, and then evaluate whether your organization holds valuable insights to contribute.
Abruptly, the world turns into your content calendar.
This represents a far more compelling application of artificial intelligence than merely boosting output volume. You aren’t producing material simply because the calendar dictates another article is due. You generate it because an event occurred and your audience could benefit from assistance in comprehending it.
GEO Should Be an Outcome, Not an Island
This explains my skepticism toward treating GEO as a completely isolated marketing discipline. Certainly, track AI visibility. Comprehend where your brand surfaces. Monitor the questions customers ask, along with citations and mentions. However, avoid confusing measurement with strategy.
If GEO becomes detached from PR, SEO, content, brand reputation, and subject-matter expertise, marketers risk optimizing the final mile while neglecting the very factors that made the brand worth uncovering initially.
A backlink carries more weight when a third party links to you because your information proved genuinely valuable. A citation holds greater significance when you produce material worth referencing. Furthermore, a brand mention grows increasingly defensible when expertise exists across the broader digital ecosystem rather than solely on pages crafted internally by the company.
You can proclaim your authority across the internet indefinitely. It grows considerably more persuasive when the internet validates your claims.
Use AI to Become More Informed, Not Just More Prolific
This may well be the greater opportunity concealed beneath GEO. While artificial intelligence has vastly expanded our production capacity, it can similarly expand our capacity for learning. Those two concepts are distinct.
Marketing departments can leverage AI to track massive quantities of data, spot shifts, recognize patterns, and surface developments that humans might otherwise overlook. The competitive advantage doesn’t require generating 50 articles instead of five. Instead, it might lie in identifying which five are genuinely worth producing.
Ultimately, human judgment remains essential. Someone must evaluate whether the information is credible, whether the development holds significance, whether the company possesses the expertise to contribute, and whether anyone will actually care.
Perhaps the smartest GEO strategy avoids obsessing over methods to make machines notice us. Instead, it involves utilizing those machines to help us become more knowledgeable, useful, and credible to people, and subsequently providing AI with something worth finding.
GEO may be new. Earning citations is not.
