Why we’re writing this
This newsletter is written by people who sit at the intersection of education and technology. The cofounders of this publication are also founders of an EdTech platform. Over the past four-plus years, we have been working inside the higher education and student mobility space, not as observers, but as builders. We track admissions trends, policy shifts, and institutional strategy because our product depends on getting those calls right.
Building an EdTech platform meant learning, early and often, how families in high-outbound markets actually discover and evaluate college counselors. We watched the shift happen in real time, from Google to WhatsApp groups to YouTube to, increasingly, direct queries into AI platforms. That experience is what made this issue unavoidable to write.
When we started seeing parents - sophisticated, high-income, Ivy-focused families, arriving at counselor conversations with shortlists generated by ChatGPT, we understood immediately what was happening and what it meant. This is a structural change in how professional services get discovered, evaluated, and chosen.
We are not writing this as commentators. We are writing it as people who have spent four years at the intersection of technology, admissions, and international student mobility, and who recognized this shift before most of the industry had a name for it. That is the only reason this issue exists. And it is why we are confident the analysis holds.
A quick note before we dive in: We are opening up a small number of spots for higher education consultancies and IEC practices who want hands-on support with exactly what this issue covers.
If you find yourself wondering how this specifically impacts your website, your content, or your overall digital presence, we offer a focused engagement designed to answer exactly that. We start with a clear audit of your current visibility, identify key gaps, and develop a practical plan to help you show up where families are increasingly searching today.
We’re intentionally keeping this offering limited. The work is tailored, and we want to ensure it’s genuinely useful, not generic.
If you run a counseling practice or work in higher ed consulting and would like to explore whether this is a fit, simply reply to this email and we can continue the conversation.
In today’s issue (free analysis):
The changing search behavior and the numbers that should change how you think about client acquisition
What Generative Engine Optimization actually is, and how it differs from the SEO you’re already doing
Why IECs are both especially vulnerable to this shift, and especially positioned to win it
The specific queries families are typing into ChatGPT and Perplexity that determine whether your name comes up
The paid sections of this issue include:
How AI engines actually evaluate your practice and the four dimensions that determine whether you get cited or ignored
The exact content moves that drive AI citation for IECs
The third-party presence strategy, where the real leverage is, and why most IECs are leaving it entirely uncovered
Platform-by-platform tactics for ChatGPT, Perplexity, and Google AI Overviews
How to measure whether your GEO investment is working, including a quarterly audit checklist you can run yourself
We ran a 'Research Lab' on how AI is changing college discovery. Some firms appear in queries on LLMs like Claude, Gemini, and ChatGPT. Some don’t. We developed a data-driven report on how to fix that.
Somewhere right now, a parent is typing a question into ChatGPT: “What’s the best college counselor for admission to Ivy League schools?” They are not Googling it. They are not scrolling through a directory. They are asking an AI LLM, and they expect an answer.
The AI gives them one. Maybe three names. Maybe a firm. Maybe a description of what to look for. If your name, your practice, your expertise is not embedded in the content that AI has learned to trust and cite, you are not in that conversation. You do not exist to that parent.
This is not a future problem. It is happening right now, at scale, and the window for getting ahead of it is closing faster than most IECs realize.
This issue is about Generative Engine Optimization - GEO - what it is, why it matters for independent educational consultants more than almost any other professional service category, specifically within higher ed, and what it means that your competitors have not figured it out yet.
We asked AI to find us a college counselor
To understand what your prospective clients are actually experiencing, we ran the query ourselves.
We typed the following into ChatGPT: “I’m looking for the best independent college counselors or college counseling firms in the United States for a high school sophomore. The student is from a high-income family and will be applying to college in approximately three years. The goal is admission to a top university, with a secondary goal of identifying merit scholarship opportunities even at high income levels. Please recommend specific counselors or firms known for results at top tier institutions, explain what differentiates the best from the average, and how do I assess whether a counselor is genuinely worth the fee.”
The response was immediate, confident, and detailed.
ChatGPT did not say “here are some directories where you can search.” It did not say “it depends on your location.” It delivered a curated, tiered breakdown. Top Tier / Elite “High-Conviction” Firms, Strong Mid-High Tier, Boutique / Ultra-Premium (Often Referral-Only), with named firms, named counselors, descriptions of each firm’s methodology, and guidance on how to evaluate them like an insider.
IvyWise. Top Tier Admissions. Crimson Education. The Ivy Coach. Solomon Admissions Consulting. Command Education.
It recommended asking IvyWise specifically for a Premier Counselor. It named individual counselors by first name. It explained that Solomon publishes independently verified outcomes and that students who use them are statistically more likely to gain admission to Ivy-level schools. It described Crimson as operating “almost like a consulting firm for your profile.” It categorized boutique firms that charge $50,000–$200,000 and described them as acting like a “family office for admissions.” Then, and this is the part that should stop every IEC reading this, it said: "This is not a generic list. These are chosen based on fit for long-term strategy and elite outcomes."
The AI did not hedge. It did not caveat with “results may vary.” It presented a confident, authoritative shortlist as though it had done the research that the parent no longer needed to do.
And for the firms that appeared on that list, the client acquisition conversation was effectively over before it started. The parent wasn’t browsing. They weren’t comparing. They had a recommendation from a source they trusted, structured in a way that made the next step obvious: call IvyWise, ask for a Premier Counselor.
For the thousands of legitimate, excellent IECs who did not appear on that list, many of whom have better outcomes, more personalized service, and deeper expertise in specific niches, the conversation never began. They were invisible not because they were less qualified, but because the AI had no structured basis to cite them.
This is the problem. It is also the opportunity. Because the firms that dominate that response are not there by accident, and the signals that put them there are learnable, replicable and, for a niche specialist, often easier to establish than you think.
Changing search behavior
Let’s start with the numbers, because they are genuinely striking.
According to a 2025 Capgemini study, 58% of users have already replaced traditional search engines with AI-driven tools for product and service discovery. Not supplemented, replaced. Additional research found that 63% of websites now report traffic arriving from AI search platforms. And AI-referred sessions jumped 527% year-over-year in the first five months of 2025, according to Previsible’s 2025 AI Traffic Report.
ChatGPT now processes 2.5 billion prompts per day. Perplexity AI, still the lesser-known of the two major platforms but growing fast, has surpassed 780 million monthly queries. Google’s AI Overviews, which delivers synthesized AI answers at the very top of search results before any links appear, now reaches more than 200 countries.
The Higher Education Marketing research firm found that nearly two-thirds of prospective students now use AI tools at some stage of their college research process, with usage highest during early discovery and comparison phases, the exact moment when families are deciding whether they need a counselor, and if so, who.
Pew Research confirmed in January 2025 that the share of US teenagers using ChatGPT for schoolwork doubled from 2023 to 2024. These are your future clients. These are also the students whose parents are already using these tools today.
Gartner projects that by 2028, up to 25% of all searches will have moved to generative engines. That forecast is almost certainly conservative. The shift is not linear. Platform loyalty is forming now as users are choosing their preferred AI the way they once chose between Google and Bing, and the habits being established today will define how this cohort researches services for a decade.
Here is the part that should get your attention: most IECs have not started thinking about this yet. The SEO industry has been scrambling to adapt for eighteen months. Higher education institutions have dedicated entire conferences to it. GEO conferences, dedicated specifically to understanding visibility in AI-generated responses, which have sold out twice in the past year (Austin in June 2025, San Francisco in December 2025). Universities like Harvard are already being actively managed for AI visibility by marketing firms. Independent college counselors, by and large, are still optimizing for Google.
What is GEO?
Generative Engine Optimization is the practice of structuring and positioning your content so that AI platforms like ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, understand, trust, and cite you when answering questions your prospective clients are asking. It is different from SEO in ways that matter.
Traditional SEO is about ranking. You build a website, you optimize it for keyword terms, you earn backlinks, and you compete for a position on a list of ten blue links. The user then decides whether to click. Your job is to be visible enough to get the click.
GEO is about being the answer. When a parent asks an AI tool a question, the AI does not return ten links and invite the user to decide. It synthesizes information from multiple sources and delivers a single, confident response, often without requiring the user to visit any website at all. The AI has already done the research. It is presenting conclusions.
If your content is part of what the AI learned to trust, if your expertise is embedded in the sources the AI cites, the directories it references, the authoritative third-party descriptions of what good college counseling looks like, you get mentioned. If it is not, someone else does.
The Princeton University research group that coined the term GEO, publishing through the ACM SIGKDD conference in 2024, confirmed something important: AI engines do not simply cite the most popular or most-visited websites. They strongly favor earned media, authoritative third-party sources that describe, reference, or validate your expertise, over brand-owned content. This is the opposite of what many practitioners assume. A well-written website is necessary but not sufficient. What the AI trusts is what others have said about you. This has specific implications for IECs that we will get into in the paid section.
How this impacts your practice?
The IEC profession sits at an interesting intersection here. On one hand, IECs are highly search-dependent. Almost all client acquisition happens through referral networks and online discovery. Parents who don’t have a referral, particularly in international markets, in cities where the IEC network is less dense, or at earlier stages of the college planning journey, turn to search. If that search is increasingly happening through AI rather than Google, and your visibility has not been built for AI, your discovery rate is quietly declining even if your Google rankings look fine.
On the other hand, IECs are highly differentiated in ways that AI rewards. You have niche expertise: specific geographic markets, specific admission contexts (QuestBridge, military academies, UK and Canadian admissions, arts conservatories, athletes). You have track records. You have client outcomes that can be described, documented, and positioned. You have professional credentials, including IECA membership, HECA, NACAC, which AI platforms recognize as markers of credibility. These are exactly the signals that GEO rewards.
The question is whether those signals are currently structured in a way that AI can find, interpret, and surface in response to the queries your prospective clients are asking. For most IECs, the answer is no, not because they lack the substance, but because they have never had to think about it this way before.
The queries that are changing your business
Here is a sampling of the kinds of questions families are now typing into ChatGPT and Perplexity that directly determine whether your name comes up:
“Best independent college counselors for international students applying to US universities”
“Who are the top IECs specializing in arts college admissions?”
“What should I look for in a private college counselor for Ivy League applications?”
“Recommended college consultants in [city] with experience in engineering programs”
“Is hiring a private college counselor worth it?”
“How do I find a certified independent educational consultant?”
These are not hypothetical queries. They are the natural-language expressions of the exact questions your Google Analytics has been capturing in keyword form for years, just without the constraint of four-word keyword formatting. AI search has freed users to ask questions the way they actually think.
The AI answers them by drawing on everything it has indexed: your website content, third-party directories, news articles, reviews, professional association listings, parent forum discussions, LinkedIn profiles, published articles, and any media coverage your name has appeared in. It weighs all of that for authority, recency, and relevance — and then it generates an answer.
The practices that are showing up in those answers right now are not necessarily the best IECs. They are the IECs whose digital presence happens to map onto how AI evaluates authority. That is a correctable gap. But it requires understanding what AI is actually looking for.
The first-mover window is open right now
Here is the competitive dynamic you need to understand: GEO rewards early movers with compounding advantages.
When AI systems learn to trust a source, that trust compounds. Being cited once increases the probability of being cited again. Being cited across multiple platforms and for multiple related queries builds what researchers call “entity authority”, the AI’s confidence that a particular name or brand is a legitimate, reliable answer to a category of questions. Once that authority is established, it is hard for later entrants to displace.
The businesses implementing GEO now are, according to Frase.io’s 2025 analysis, “capturing citation share while competition remains relatively low.” In most industries, GEO is already competitive. Marketing agencies, SaaS companies, law firms, financial advisors, they have been in this race for a year. In independent college counseling, the race has barely started.
The IEC who establishes AI visibility in their niche, arts admissions, international student counseling, first-generation applicants, specific geographic markets, in the next twelve months will hold a structural advantage that is extremely difficult for a competitor to overcome later. The IEC who waits another year to think about this is likely to find the conversation already dominated by whoever moved first.
Understanding why this matters is one thing. Knowing exactly what to do about it, the specific content moves, structural changes, third-party positioning plays, and platform-by-platform tactics that actually drive AI citation, is another.
That’s what the paid section covers. Subscribers get the full playbook: what to build, what to fix, what to publish, and how to measure whether it’s working. If you’re reading on a free subscription, the ‘what to do’ is what you’re missing out on.
