LLM Visibility & Sentiment Analysis Across 50 High-Intent Queries
50 prospective-student queries were submitted to ChatGPT across five strategic dimensions: academic reputation, value & cost, student experience, career outcomes, and reputation risk. Each response was analyzed for framing, sentiment, competitive positioning, and brand narrative accuracy.
Calculated from sentiment, framing, and competitive positioning across all prompts
ChatGPT’s treatment of St. John’s University reveals a consistent brand narrative: capable but not elite, affordable-relative-to-peers but still questioned on value, and career-focused but lacking prestige signals. The AI acts as a cautious advisor, acknowledging genuine strengths while reflexively adding hedges. This “yes, but” framing is the defining challenge for St. John’s AI brand strategy.
Across all 50 prompts, ChatGPT follows a predictable pattern: acknowledge a St. John’s strength, then immediately position it below NYU, Columbia, or Fordham. This creates an asymmetric brand narrative where positives are conditional and negatives are presented as structural. Prospective students reading these responses receive a psychologically anchored “second choice” perception before ever visiting the campus.
ChatGPT’s academic narrative about St. John’s is bifurcated: specific programs receive genuinely strong characterizations (especially Risk Management, Pharmacy, and Business), while the university’s overall academic standing is consistently framed as “solid but not elite” — placing it in a tier comparable to mid-range Catholic and urban universities rather than New York’s flagship research institutions.
| Program / School | AI Sentiment Score | How ChatGPT Describes It | AI Visibility Status | Key Competitive Frame |
|---|---|---|---|---|
| Greenberg School of Risk Mgmt & Insurance | 4.5 / 5 | Center of Actuarial Excellence (Society of Actuaries); one of very few such programs in the U.S. Strong NYC industry ties. | Prominently Featured | Positioned as #1 nationally — no peer competition mentioned |
| Pharmacy / PharmD (College of Pharmacy) | 4.2 / 5 | Six-year PharmD highlighted as “signature offering.” NYC clinical placements praised. | Prominently Featured | No direct competitors mentioned; framed as standout |
| School of Law | 4.0 / 5 | Top 60–70 nationally, “respectable and regionally well-regarded in NYC.” Strong first-time bar passage rate. | Prominently Featured | Compared favorably within NY context; no elite-law comparison made |
| Tobin College of Business | 3.9 / 5 | AACSB accredited; finance, accounting, auditing cited. Internal Audit Education Partnership Center designation noted. | Prominently Featured | Implicitly compared to NYU Stern (unfavorably for prestige) |
| Library & Information Science (Online MS) | 3.8 / 5 | Top-ranked online library science program; ALA-accredited and rare on East Coast. | Partially Featured | Niche program — no competitor framing |
| Criminal Justice / Cybersecurity | 3.4 / 5 | Online master’s nationally ranked; cybersecurity tied to NYC agencies praised. | Partially Featured | Positioned as relevant to NYC employers — no prestige ranking |
| Overall University Academic Standing | 2.7 / 5 | “Solid, mid-tier private university… around the 150s nationally in U.S. News rankings.” | Underrepresented | Consistently compared to NYU, Columbia, Fordham — always placed below |
ChatGPT cites the US News ranking of “around the 150s” in virtually every academic reputation answer. This number acts as a brand anchor — it appears before any program-specific strengths are mentioned, priming the reader to perceive St. John’s as definitively mid-tier. The university’s social mobility ranking (#1 tier in some metrics), its specialized program rankings (#1 in actuarial), and its professional outcomes are mentioned after this anchor has already been set. The CMO should prioritize creating AI-indexed content that leads with program-specific rankings, not overall university rankings.
St. John’s is a “solid, mid-tier private university: respected, but not in the same academic tier as highly selective national research universities… roughly on par with stronger CUNY/SUNY campuses rather than with schools like NYU, Columbia, or Fordham.”
ChatGPT repeatedly cites St. John’s strong performance on social mobility and “Best Value” metrics — but frames these as consolation prizes rather than genuine achievements. For a large segment of prospective students (first-generation, lower-income, NYC residents), these attributes are primary decision drivers. The AI’s framing deprioritizes what may be St. John’s most compelling competitive differentiator for its actual target market.
The Value & Cost dimension is St. John’s most vulnerable AI narrative area (outside of active reputation crises). ChatGPT’s answers consistently lead with the $51,410 sticker price and position St. John’s as expensive-relative-to-value — without adequately communicating the net price reality, which is significantly lower for most students. This creates a damaging first impression in the consideration stage of enrollment.
The AI’s near-exclusive use of sticker price ($51,410) without surfacing the typical net price creates a perceived-cost problem. Most enrolled students pay substantially less. This framing disproportionately deters price-sensitive prospective students — precisely the demographic St. John’s social mobility mission serves.
ChatGPT consistently answers “Is St. John’s worth it?” with “yes, if you stay in New York City.” This geographic conditionality is a hidden strength — it positions St. John’s as the premium NYC-career-track choice for those who commit to the region. This narrative can be amplified into a strategic positioning asset.
“Starting in 2024–25, published undergraduate tuition is about $51,410 per year, before fees, housing, etc. Many students get substantial merit aid… if you’re interested in business, risk management/insurance, finance, accounting, or law, St. John’s is relatively strong. Planning to stay in NYC/Long Island? The name recognition and alumni network help more.”
Student Experience is a more nuanced dimension in AI outputs. ChatGPT acknowledges St. John’s real strengths — exceptional diversity, a vibrant Queens/NYC environment, and a values-driven Vincentian culture — while consistently surfacing the commuter school narrative as a social life limitation. The 71–75% off-campus rate is cited in nearly every relevant prompt as a defining characteristic.
The “commuter school” label that ChatGPT repeats is a narrative that can be directly challenged through AI-indexed content strategy. Many of the world’s most prestigious universities (LSE, Columbia, NYU) are effectively commuter-heavy urban institutions. The same off-campus rate that ChatGPT frames as a weakness can be reframed as: St. John’s students are embedded in New York City’s professional and cultural ecosystem from day one — building real-world networks while completing their degrees. This counter-narrative needs to be seeded into web content, press releases, and publications that ChatGPT pulls from.
St. John’s has “a large share of students [that] commute (the university notes that about 71% live off campus), so it’s not a classic ‘everyone stays all weekend’ residential bubble… Very New York, very commuter-heavy, and shaped by its Catholic/Vincentian mission.”
Career Outcomes is St. John’s strongest AI narrative dimension. ChatGPT cites specific placement data (90–91% employed or in grad school within 6 months), names recognizable employer partners, and frequently acknowledges the NYC location as a structural career advantage. This dimension should serve as the primary amplification target for the CMO’s AI content strategy.
| Career Prompt Topic | AI Score | Key AI Claims | Employers / Industries Cited |
|---|---|---|---|
| Overall Job Placement | 4.2/5 | 90–91% employed/in grad school within 6 months (Class of 2024). 88% in field-related roles. | University’s own career outcomes data cited with source links |
| Employer Recruitment | 4.0/5 | Wide range of employers cited across finance, gov, healthcare, law. Handshake system referenced. | Grant Thornton, EY, Protiviti, BDO USA, NYC government agencies |
| Finance & Business Careers | 4.1/5 | NYC proximity described as major advantage for finance recruiting. Insurance/risk alumni network strong. | Financial services, Big 4 adjacent firms, insurance sector (top) |
| Internship Access | 4.0/5 | NYC location described as “structural advantage” — direct access to internship ecosystem. | NYC-wide internship access; no specific firms named but framing is strongly positive |
| Alumni Network | 3.5/5 | Described as “large and familiar in NY area.” Strong in NYC; less useful outside Northeast. | NYC-centric; limited national footprint acknowledged |
| Salary Outcomes | 3.4/5 | Allied health, economics, and insurance grads show high median salaries. General salaries not cited. | Program-specific data cited; overall salary comparison to elite schools not favorable |
| Employer Perception of Degree | 3.3/5 | “Familiar, mainstream name in NYC — not a prestige signal, but not a red flag either.” | Neutral-to-positive for NYC; less recognized nationally |
| Job Market Competitiveness | 3.1/5 | Strong GPA, internships, faculty support overcome brand gap. Degree doesn’t confer automatic prestige. | Framed as: students must compensate through individual effort for brand gap |
The 90–91% placement rate is the single most powerful data point in St. John’s AI presence — and it’s being cited correctly by ChatGPT. The CMO should build an entire AI content strategy layer around career outcome specifics: named employers, salary data by program, internship conversion rates, and alumni success stories. This data, when published in structured, AI-indexable formats, will be absorbed into future ChatGPT responses and reshape the overall brand narrative from “solid but not elite” to “career-outcome leader.”
St. John’s grads “are generally well-received in the NYC area — the degree is familiar, respected, and backed by a sizable alumni network. Outside the Northeast, it carries less automatic recognition, but the quality of your internship experience and networking will matter more than the school name in most industries.”
The Reputation Risk dimension reveals the most urgent AI narrative challenges for St. John’s CMO. ChatGPT aggregates and amplifies negative signals from student reviews, news coverage, and social media — including a breaking 2026 crisis event (faculty union decertification) that is now surfacing in AI responses. This dimension requires immediate strategic attention.
ChatGPT now surfaces the February 2026 announcement that St. John’s will no longer recognize its faculty unions (AAUP chapter and Faculty Association) in response to criticism queries. AI frames this as contradicting Catholic social teaching on workers’ rights and potentially violating New York labor law. This is the fastest-growing negative signal in St. John’s AI presence and will shape prospective student and faculty recruitment perceptions for months.
ChatGPT consistently validates the perception that St. John’s tuition ($51,410 sticker) is high relative to academic outcomes and prestige. SUNY/CUNY alternatives are frequently offered as a rational alternative. This framing is deeply embedded in ChatGPT’s training data from student review sites and Reddit discussions, making it one of the most persistent AI reputation challenges.
Financial aid office, bursar, and registrar inefficiency complaints from student review platforms (Niche, Reddit, GradReports) are regularly cited by ChatGPT when asked about student complaints and regrets. These systemic service failures create disproportionate AI narrative damage because they appear on multiple indexed platforms.
The commuter-school framing is cited so frequently across multiple dimensions that it has become a definitional characteristic in AI responses. Students looking for traditional residential college experience are actively warned away. This is partly structural (71% off-campus rate is real) but the negative framing is not inevitable.
When asked why students transfer away, ChatGPT cites cost, academic fit, pharmacy tuition structure complexity, and feeling “not challenged enough” in some departments. These responses pull heavily from Reddit discussions and could influence yield rates for admitted students researching their options in ChatGPT.
ChatGPT explicitly warns prospective students that St. John’s brand carries less weight outside the New York/Northeast region. This creates a competitive disadvantage for out-of-state recruitment and for graduates seeking national or international career opportunities.
“In February 2026 the university announced it would no longer recognize its long-standing faculty unions… Faculty leaders and national AAUP figures have condemned this as a violation of Catholic social teaching on workers’ rights and, potentially, New York labor law.”
The February 2026 faculty union event is already appearing in ChatGPT responses to reputation queries. As more news articles, faculty statements, and AAUP communications are indexed, this signal will strengthen. Without a proactive counter-narrative (institutional response, faculty engagement updates, values statements), ChatGPT will continue to present this as a defining criticism of the university — appearing before prospective students, prospective faculty, and accreditation audiences who query the AI. The CMO must coordinate with legal/communications teams on AI-indexed response content within the next 30 days.
ChatGPT frequently frames St. John’s in comparison to other New York universities. The competitive landscape as presented by AI is generally unfavorable — St. John’s is placed below NYU, Fordham, and Columbia, but above CUNY schools academically while being priced closer to the private tier. This creates a difficult middle-ground positioning in AI narratives.
| Institution | AI Academic Standing | AI Value Positioning | AI Career Outcomes | AI Comparison to St. John’s |
|---|---|---|---|---|
| ⭐ St. John’s University | “Mid-tier, solid private” | “Expensive for the tier; good aid” | 90%+ placement; NYC-strong | — (Baseline) |
| NYU | “More prestigious / top-50” | “Even more expensive” | Elite network, global brand | St. John’s positioned below on prestige; above on value |
| Fordham University | “Similar Catholic mission; slightly more selective” | “Similar pricing” | Strong NYC network | Fordham often preferred for prestige at similar cost — highest direct threat |
| Columbia University | “Ivy League, elite” | “Much more expensive” | Elite global outcomes | Used as an “above” anchor to contextualize St. John’s tier |
| CUNY (City College, Baruch, etc.) | “Comparable academically to St. John’s in some areas” | “Significantly cheaper” | Strong NYC outcomes for price | Positioned as the value alternative — highest threat for price-sensitive prospects |
| SUNY schools | “Mid-tier public” | “Much cheaper” | Decent regional outcomes | Frequently offered as alternative when student questions value |
| Seton Hall University | “Similar Catholic private” | “Similar cost” | Similar metro outcomes | Rarely compared directly — lower AI visibility threat |
In queries where prospective students compare options, ChatGPT most frequently positions Fordham University as a peer institution with a slight prestige edge at comparable cost. Unlike the NYU or Columbia comparison (which is clearly an aspirational tier), the Fordham comparison is actionable — a student choosing between the two may default to Fordham based on AI framing alone. St. John’s program-specific strengths (Risk Management, PharmD, social mobility) are rarely surfaced in these competitive head-to-head answers.
Six data-driven recommendations to reshape St. John’s AI brand narrative, based on gap analysis across all 50 ChatGPT prompts.
The February 2026 faculty union event is already surfacing in ChatGPT responses. Publish an official institutional statement, a faculty engagement update, and a values-alignment page (Vincentian mission + labor relations) that ChatGPT can reference as a counter-narrative. Coordinate PR and legal teams on AI-visible messaging within 30 days before this narrative solidifies further.
Create dedicated, AI-indexable web pages that lead with actual net price data, average scholarship awards, and 100%-of-freshmen-receive-aid statistics. Structure this content as FAQ pages and press-release-style announcements. The sticker price narrative ($51,410) will not disappear — but it can be immediately contextualized if net price data is surfaced earlier in AI retrieval patterns.
Build a structured content library around program-specific rankings: “Best Insurance Program in the U.S.,” “Top PharmD Program in New York,” “#1 Actuarial Science Designation.” These superlatives, published in authoritative formats (press releases, rankings pages, program landing pages) will be cited by ChatGPT and override the generic “ranked ~150th nationally” anchor that currently dominates AI responses.
Develop and publish a counter-narrative positioning St. John’s urban experience as an asset: “St. John’s students enter New York City’s professional ecosystem on day one.” Create case studies, alumni profiles, and a dedicated “Life in NYC” content hub that emphasizes internship access, industry proximity, and professional network development — designed to be AI-indexed. Pitch this framing to education media for third-party citation.
Career Outcomes is the strongest AI dimension — lean into it aggressively. Publish an annual Career Outcomes Report with named employers, industry breakdowns, median salary by program, and student testimonials. Create an employer partner page listing recruiting companies. These pages, structured for search and AI indexing, will be cited in “Does St. John’s help students get jobs?” and related queries.
Fordham is the highest-risk direct competitor in AI comparisons. Build differentiation content that highlights where St. John’s wins decisively: Insurance/Risk Management (no Fordham equivalent), PharmD program (Fordham doesn’t offer), social mobility performance, and career placement data. Publish a “Why St. John’s” page that addresses the comparison head-on and can be indexed by AI when comparison queries are run.
To track progress on AI brand narrative improvement, the following measurement framework should be implemented quarterly using Manaferra’s proprietary AI visibility scoring methodology across the same 50 prompts.
| Dimension | Current AI Score | 90-Day Target | 12-Month Target | Key Indicator |
|---|---|---|---|---|
| Overall AI Brand Score | 3.1/5 | 3.4/5 | 3.8/5 | Reduction in “mid-tier” / “not elite” qualifier language |
| Academic Reputation | 3.1/5 | 3.5/5 | 4.0/5 | Program rankings cited before overall university ranking |
| Value & Cost | 2.9/5 | 3.3/5 | 3.7/5 | Net price cited alongside sticker price in AI responses |
| Student Experience | 3.2/5 | 3.5/5 | 3.9/5 | NYC career integration narrative replacing commuter narrative |
| Career Outcomes | 3.8/5 | 4.1/5 | 4.4/5 | Named employers and salary data appearing in AI responses |
| Reputation Risk | 2.2/5 | 2.8/5 | 3.4/5 | Institutional response cited; union narrative contextualized |
Join our free webinar with our CEO to understand how AI search works in higher education, what influences the answers students receive, how to evaluate your own visibility, and where to focus your efforts.