NYU SPS · CMO Strategic Brief · May 2026

A first-year visibility blueprint for NYU SPS, built on Pathways.

Eight recommendations across the five pathways.

AI platforms analyzed: ChatGPT, Claude, Gemini, Perplexity
Prepared by: Erin Callihan
About this brief

A first-year blueprint of recommendations for elevating NYU SPS visibility in AI search. Intended as a starting point for conversation, not a finished plan.

Sources
  • Semrush — Brand Performance, Keyword Gap, Top Pages, and Backlinks reports for sps.nyu.edu (May 2026)
  • ChatGPT, Claude, Gemini, Perplexity — cross-platform AI visibility analyses run against a custom prompt, including a 15-query conversational search test
  • NYU SPS public materials — Dean and leadership communications, mission and history, leadership directory, sitemap
Note on the data sps.nyu.edu underwent a recent website relaunch. Page-level traffic and ranking data in this brief reflects a post-relaunch period and may include URL migration noise — interpret short-term page-level changes with that context. The AI visibility findings — citation share, sentiment, share of voice, and comparison queries — reflect longer-term patterns in AI training data and third-party content, and are largely independent of the relaunch.
The Diagnosis

Three numbers tell the story.

AI citation share
1.6%
sps.nyu.edu's share of citations in ChatGPT answers about professional studies. Wikipedia: 13%. Reddit: 3.8%. Third parties are deciding what AI says about SPS.
Positive sentiment
50%
12 points behind NYU overall (62%). Negative drivers — cost, "second-tier" framing, employer recognition — appear at the same frequency as positive ones.
Comparison queries
50+
Distinct ChatGPT queries that compare SPS to NYU, Columbia SPS, bootcamps, and online providers — questioning prestige, rigor, and ROI. Currently unaddressed on-site.
Open Questions

Six things this blueprint can't yet answer.

Question 01

Are these the right competitors?

AI's chosen competitive set — Columbia, Northwestern SPS, Harvard, Cornell — may not match how leadership benchmarks SPS. Confirming the actual frame would refine which programs and verticals warrant priority focus.
Question 02

One brand, or many?

Schack, Tisch, and CGA carry significant brand equity in their respective industries. Several recommendations assume unification under SPS — that may not align with intent. Worth confirming whether the goal is to elevate SPS as a single brand or to let divisions hold their own.
Question 03

What's already in motion?

Paid search, partnership outreach, lifecycle email, alumni engagement, and audience targeting work — none of it visible from outside the institution. Some recommendations may duplicate or complement what's already running.
Question 04

Pathways: internal or external?

Pathways is established as the school's internal organizing principle. Whether it's also intended to structure external marketing storytelling shapes how directly the recommendations should mirror its language.
Question 05

Which programs are FY27 priorities?

This blueprint treats programs roughly equally. In reality, a small number likely drive the majority of revenue and warrant focused investment. Knowing those priorities would resequence what ships first.
Question 06

What's been tried?

Marketing efforts that haven't worked are valuable institutional memory. Knowing what's already been attempted prevents repeat work and reveals where genuinely new approaches are needed.
Built on Pathways

Recommendations align to SPS Pathways.

Pathway 01

Access

Already in motionDoubled non-traditional enrollment. Working adults, transfers, military, first-gen, international.
Where to amplifyAudience-specific landing experiences and a positioning statement AI can quote — so prospects find SPS before they need convincing.
Pathway 02

Curriculum

Already in motionReal World courses, capstones, live client projects, Lab for Transformative Leadership, industry-responsive coursework.
Where to amplifyOne unified hub so the experiential model is recognizable as a single SPS signature — not nine fragmented divisional stories.
Pathway 03

Student Success

Already in motionMetrics-driven retention. CGA at the UN. Schack convening cross-sector leaders.
Where to amplifyExternalize the outcomes data already tracked internally — salary bands, promotion timelines, named employer partners — so AI has evidence to cite.
Pathway 04

Storytelling

Already in motiondeCLASSified series. Day in the Life videos. Schack content. Student moderators.
Where to amplifyRestructure for AI ingestion. Govern Wikipedia and Reddit. Stand up an AI Brand Health dashboard reporting to SLT quarterly.
Pathway 05

Culture

Already in motionCaring Culture Grants. Belonging, wellness, engagement.
Where to amplifyCarry the same care-and-belonging voice into how the marketing org operates — staff upskilling, AI literacy, workflows that respect faculty time. The team is the first audience.
The 30/60/90 — and what comes after

Eight moves, sequenced by pathway.

Pathway · Access

Make SPS findable before prospects need to be convinced.

01

Distill one repeatable SPS positioning statement. Deploy it everywhere.

First 60 days Narrative

"NYU's front door for working professionals and career changers." One sentence. Embedded in homepage hero, every program intro, media boilerplate, admissions counselor scripts, NYU central content, and Wikipedia. Until AI can't describe NYU's flexibility without naming SPS.

Why it works: AI currently absorbs SPS-specific strengths into the generic "New York University" entity. Explicit naming, infused at scale, is the fix.
02

Treat the international audience as primary, not auxiliary.

Days 90–180 Audience Design

In responses about NYU SPS, ChatGPT routinely advises international prospects to verify how the school is perceived in their home country before applying. That's a conversion killer for an audience that's nearly half the student body. Region-specific landing experiences with local alumni outcomes, employer logos, language-aware messaging, and local partnership credentials in priority markets.

Why it works: Without explicit local proof points, AI defaults to the "verify in your home country" caveat. Region-specific content with named alumni and employer logos directly counters that pattern.
Pathway · Curriculum

Unify the Real World story so it travels.

03

One Real World hub. Stop letting Northeastern own experiential.

Days 90–180 Brand Architecture

SPS already has Real World courses, capstones, live client projects, and the Lab for Transformative Leadership — fragmented across nine divisions. Northeastern owns "co-op." Drexel owns "signature." SPS owns nothing branded. Unify under one hub — NYU SPS Real World Studios — with shared design principles, employer logos, and storytelling templates so every program inherits the credibility.

From the analysis: "SPS's experiential model is a real differentiator, but it is fragmented and under-branded compared with competitors' iconic experiential formats."
Pathway · Student Success

Externalize the outcomes data the dean is already tracking.

04

Rebuild flagship program pages as decision tools, not brochures.

Days 60–120 Website + AI

Each priority program page restructured around six AI-readable elements: one-sentence promise · who it's for · time/format/cost above the fold · named employer partners + salary bands · one transformation story (pulled from the same studio model behind deCLASSified) · objection-answering FAQ. The MS Integrated Marketing Analytics page is already proving the template works (cited in 5 distinct AI responses).

Why it works: Program and subject exploration accounts for 47% of all prospect AI queries — the single largest topic category. Pages structured around the six elements above are the format both AI assistants and human prospects can actually parse.
Pathway · Storytelling

Make the work AI can already see — and govern the channels it cites.

05

Stand up an AI Brand Health dashboard. Monthly. As an OKR.

First 30 days AI Visibility

Most schools don't even know AI is a channel. SPS can be the first to treat it like one. Track share of voice, sentiment, citation share, and position rank against Columbia SPS, Northwestern SPS, NYU, and Harvard — refreshed monthly, reported to SLT quarterly. The same way paid media gets tracked, but for the channel that's eating search.

Why it works: No peer school currently tracks AI as a marketing channel. Being first establishes SPS as the methodology reference rather than a follower — and creates measurable accountability for moves that otherwise live in narrative.
06

Govern Wikipedia and Reddit. They're #1 and #2 in citation share.

Quick win Off-site

The Wikipedia entry's framing — "adjunct-heavy," "professional arm" — anchors how AI describes SPS everywhere. Within Wikipedia's editorial rules, a small governance investment to add neutrally-worded outcome data, flagship institute pages, ranked program citations, and notable alumni rebalances the description in 6–12 months. Reddit deserves a parallel listening + targeted-engagement plan.

Cost-to-impact: Among the highest in the brief. Almost no peer school is doing this systematically.
07

Scale the storytelling engine the dean has already built.

Year 1 build Content + AI

The dean's team is already producing deCLASSified, Day in the Life, and Schack content with student moderators. Career changes at 50. International students who built a life in NYC. Working professionals who took the leap. The narrative is there. Scaling it means structuring 30–50 transformation stories per year for both human and machine consumption — and feeding them into program pages, regional landing experiences, and the AI dashboard.

Why it works: Decision-stage queries (research + comparison intent) make up 56% of prospect AI queries. Transformation stories are the format these prospects are actively seeking — and the format AI extracts most reliably for grounding.
Pathway · Culture

The marketing team is the first audience.

08

Make the SMC team AI-native. Staff upskilling is the multiplier on every other move.

First 6 months Internal · Culture

The Caring Culture Grants extend belonging, wellness, and engagement across the school. The same posture has to apply inside the marketing organization. Stand up an AI-fluency program for the 19-person SMC team — workflow audits, governance, prompt libraries, faculty-time-respecting handoffs. Without this, every other move in this brief slows down by half. With it, the team ships faster than any peer school.

Why it works: Without team-level AI fluency, every recommendation in this brief slows down by half. With it, SPS ships faster than peer schools — most of which haven't started.
Part Two

Supporting evidence

Metrics: share of voice gap, citation imbalance, sentiment shortfall, and queries prospective students are asking ChatGPT.
Behavioral Test · Across All Four AI Platforms

15 conversational searches. SPS shows up reliably for 5.

Tested across ChatGPT, Claude, Gemini, and Perplexity — whether NYU SPS appears prominently when prospective, non-traditional, and international students search the way they actually search.

5
SPS appears prominently
6
Mixed or weak presence
4
SPS does not surface
✓ Strong
"Is NYU SPS a good school for sports management?"
Prospective
Tisch Institute and MS Sports Business surface clearly with the #1 online ranking.
✓ Strong
"What is NYU SPS known for?"
All audiences
Strong on real estate, hospitality, and sports — but Wikipedia-heavy framing.
✓ Strong
"How much does it cost to attend NYU SPS?"
All audiences
NYU.edu pages dominate; clear, current cost information.
✓ Strong
"Best master's in real estate in New York"
Prospective Grad
Schack Institute surfaces; Cornell Baker is the named competitor.
✓ Strong
"Best master's in hospitality in NYC"
Prospective Grad
Tisch Center of Hospitality surfaces well with industry context.
⚠ Mixed
"Student experience at NYU SPS"
Prospective
Niche reviews + Wall Street Oasis + RateMyProfessors surface — much of the framing is critical.
⚠ Weak
"How can I finish my bachelor's degree as a working adult in NYC?"
Non-traditional
DAUS surfaces only on direct query; competitors (MCNY, Molloy, CIIS) own this space.
⚠ Mixed
"Is NYU SPS worth it?"
Prospective
Quora, College Confidential, and Wall Street Oasis surface skeptical takes.
⚠ Weak
"Best schools for global affairs / international relations master's"
Prospective Grad
Center for Global Affairs underrepresented vs. Columbia SIPA, Georgetown, JHU SAIS.
⚠ Weak
"Best PR / integrated marketing master's programs"
Prospective Grad
MS in PR & Corporate Communication has won PRWeek, but doesn't dominate AI results.
⚠ Weak
"Schools with strong veteran / military programs in NYC"
Non-traditional
Yellow Ribbon participation exists but doesn't surface in comparative results.
✗ Not surfaced
"Best colleges for online programs in NY"
Non-traditional
UoPeople, Empire State, and Mercy dominate; SPS is absent from Niche rankings.
✗ Not surfaced
"Best schools for adult learners in NYC"
Non-traditional
New School, BMCC, LaGuardia, Manhattan U dominate; SPS missing from Niche rankings.
✗ Not surfaced
"Best universities in New York for international students"
International
NYU as a whole appears, but SPS specifically does not — despite 50%+ international enrollment.
✗ Not surfaced
"Best schools that accept transfer credits in NYC"
Non-traditional
DAUS' generous 80-credit transfer policy is buried — invisible to AI.
The pattern that emerges: SPS appears reliably when a search names a specific program — Schack, Tisch, sports, real estate, hospitality. It disappears for broader searches like "best online programs in NY" or "best schools for adult learners." Those are the searches non-traditional, international, and adult students actually run — the same students the Access pathway is built to reach.
Share of Voice in ChatGPT

SPS is fourth in the conversation it should be leading.

In AI answers about professional and continuing education, Columbia and the NYU parent brand absorb the visibility that should belong to SPS. NYU's strengths in flexibility and adult learners are credited generically to "NYU" — and SPS gets the leftovers.

Share of Voice by School

Percentage of mentions in ChatGPT responses about professional studies

The opportunity: When AI explains NYU's flexible, online, working-adult programs, it cites "New York University" generically — not SPS. Reframing SPS as "NYU's front door for working professionals" in central NYU and partner content forces precise attribution.

Average Position in AI Responses

Lower is better — position 1 means cited first

SPS lands at position 2.47 — credible but rarely first. Harvard (1.85) and Columbia (1.98) are top-cited. Position improves when SPS-owned pages are structured for AI to surface them as primary sources.
Who AI Cites When Talking About SPS

Wikipedia is shaping the SPS brand. So is Reddit.

When ChatGPT cites a source about professional studies, it pulls from Wikipedia 8x more often than from sps.nyu.edu. The Wikipedia entry leads with "adjunct-heavy" and "NYU's professional arm" — that framing then propagates to every AI response.

Top Cited Domains (ChatGPT, professional studies queries)

Total citations across all queries — May 2026

Two near-free wins hide in this data: (1) The MS Integrated Marketing Analytics page already gets cited 5 times — a model for how SPS pages should be structured. (2) Within Wikipedia's editorial rules, neutrally-worded updates to flagship institutes, outcomes, and notable alumni rebalance how SPS is described in 6–12 months. Almost no school is doing this.
Brand Sentiment

SPS's perception lags every NYU peer and most low-cost competitors.

Drexel Goodwin (88.9%), SNHU (90%), WGU (84.6%), and Washington University CAPS (85.7%) all outperform SPS on positive sentiment in AI answers. Cost and ROI doubts are the leading drag.

Positive Sentiment Comparison

Percentage of AI responses framing each school favorably

Closing the 12-point gap to NYU overall requires transparent program-level ROI storytelling — salary bands, named employer pipelines, and promotion timelines. The data shows AI defaults to "high cost, mid-tier" framing because it has nothing else to cite.
What Prospective Students Are Actually Asking AI

Half of all queries are program exploration. A third are about outcomes.

Prospects aren't asking "is SPS good?" — they're asking "which program fits my career?" and "will it actually get me hired?" The site has to answer both, structured for both human and machine readers.

Topic Distribution of ChatGPT Queries

What people search when researching professional studies

Program pages are the highest-leverage real estate. Each one needs to answer: who it's for, time-to-completion, named employer partners, salary band, transformation story, and full FAQ — structured for AI extraction.

Query Intent Distribution

Why people are asking — what they want from the answer

16% of queries are direct comparisons. SPS shows up in niche queries (real estate, sports, marketing, translation) but disappears in generic "best professional studies" lists. Codifying flagship verticals is the bridge.
Strategic Findings

Two findings that change priority and pacing.

FINDING 01

The competitive enemy isn't "everyone." It's Harvard Extension.

Of the keywords NYU is missing where Ivy peers rank — Harvard wins 38%. Cornell takes the certificate economy. Northwestern owns strategic marketing.

High-volume keywords Harvard owns at #1

Masters in Public Administration5,400/mo
Executive leadership program1,600/mo
Data science certificate programs720/mo
Data science certificate online590/mo
Certification in artificial intelligence590/mo
Why this matters: SPS has the product for every one of these — but not the search real estate. The competitive frame narrows from "professional studies broadly" to "Harvard Extension specifically" — a sharper, more defensible position.
FINDING 02

SPS already owns AI in earned media. It just doesn't claim it.

Five of the top 12 most-linked pages on sps.nyu.edu are AI-themed content. 100+ unique referring domains each.

The reframe: SPS doesn't have an AI visibility problem. It has an AI visibility underclaim problem. The earned authority exists — 500+ referring domains across AI-themed content. The school's positioning hasn't capitalized on it. This is a free competitive moat sitting unclaimed, and it plays directly into Pathway 04: Storytelling.
The Wikipedia mechanism, decoded
2020VINTAGE RANKINGS
All four AI platforms cite Wikipedia first because SPS pages don't carry the conversational/structured signals AI extracts cleanly. Wikipedia's SPS entry leads with "adjunct-heavy" and 5-year-old rankings. Fixing Wikipedia and adding FAQ schema to the top 10 pages is the cheapest, highest-ROI 90-day deliverable available.
AI CROSS-READ

Where ChatGPT, Claude, Gemini, and Perplexity all agreed.

Independently identified by all four AI platforms in May 2026.

Wikipedia is the dominant grounding source
All three flag Wikipedia as the top-cited link about SPS — and call out the "little known" / "easier to get into" framing it carries.
Only 3 programs are AI-visible
Hospitality (Tisch), Real Estate (Schack), and Sports Management (Preston Robert Tisch) dominate. Everything else is AI-invisible at the program level.
Reddit is shaping AI sentiment
All three cite Reddit threads ("NYU SPS a joke?", "NYU SPS do you recommend?"). This is the sentiment-lag mechanism in action.
CUNY SPS confusion is real
Searches for "SPS online programs" return CUNY SPS instead of (or alongside) NYU SPS. Disambiguation work needed.
Strategic Pathways is invisible to AI
The dean's framework isn't surfacing in AI answers because the language is institutional, not conversational. Same content, restructured, would change this.
Outcomes data exists, isn't surfacing
Wasserman 91% / 93% employment numbers. Tuition $2,785/credit. The data is on-site — but in formats AI can't extract cleanly.