Morgan Stanley AI Market Strategy Report - Certificates of Deposits

Answer Capsule

Morgan Stanley has become the clear recommendation-stage leader in AI-driven certificate of deposit discovery, with valid recommendation coverage of 32.7% in September 2026, up from 3.0% in July 2026. The firm now leads the category in top-three placement at 21.3% and rank-one placement at 10.4%, a decisive shift from single-digit visibility to explicit recommendation power. Its strongest signal comes from Google AI Mode, where it holds 58.7% valid recommendation coverage and a 19.6% rank-one rate. The clearest remaining weakness is the absence of qualified observations in pricing and comparison prompt clusters, which leaves rate competitiveness and head-to-head positioning unmeasured. The biggest opportunity is converting its broad presence into sustained first-choice status across more high-intent certificates of deposit discovery prompts.

Who This Report Is For

This report is for deposit product leaders, digital strategy teams, and competitive intelligence functions at financial institutions tracking how AI systems shape certificate of deposit selection and buyer shortlists.

Report Card

Executive Summary

Morgan Stanley holds the strongest recommendation position in the certificates of deposits category, with 32.7% valid recommendation coverage in September 2026. The benchmark shows the firm moved from 3.0% coverage in July 2026 to 27.5% in August and 32.7% in September, a cumulative gain of 29.7 points that the LLM Authority Index marks as beyond normal variation. This is not merely a visibility story: Morgan Stanley converted presence into placement, with 69 valid recommendations out of 211 qualified observations.

The firm's raw mention presence rate reached 74.9% in September, meaning it appears in some form across three-quarters of qualified observations. Positive mentions totaled 88, neutral mentions 70, and negative mentions 0, producing a net sentiment score of 0.557. The strongest cluster is the brand recommendation space captured by the Best CD Rates and Top Certificate of Deposit Accounts prompt set, which accounts for all 211 qualified observations in the public benchmark.

Morgan Stanley's strongest platform signal comes from Google AI Mode, where it achieved 58.7% valid recommendation coverage and a 19.6% rank-one rate across 46 observations. Google AI Overviews also contributed meaningfully at 22.2% coverage. The clearest platform gap is Copilot, where Morgan Stanley holds 90.9% raw presence but only 9.1% valid recommendation coverage, indicating the firm is frequently mentioned but rarely selected as a recommended option on that surface.

The public benchmark currently captures only the brand recommendation buyer-intent class. No qualified observations exist for pricing and value or multi-brand comparison prompts, which means the data cannot yet show how AI systems characterize Morgan Stanley's rate competitiveness or how the firm performs in explicit head-to-head comparisons.

What Morgan Stanley Is Winning

Morgan Stanley leads the category in valid recommendation coverage at 32.7%, ahead of Bread Savings at 29.9% and Goldman Sachs Group at 12.3%. This is the strongest evidence-backed win in the September benchmark.

The firm also leads in recommendation placement quality. Its top-three rate of 21.3% and rank-one rate of 10.4% both exceed every tracked competitor. Morgan Stanley recorded 45 top-three placements and 22 rank-one placements out of 211 qualified observations, meaning it is the single first-choice recommendation in roughly one of every ten qualified CD discovery answers.

Google AI Mode is a clear platform strength. Morgan Stanley achieved 58.7% valid recommendation coverage there, with 27 valid recommendations from 46 observations and a rank-one rate of 19.6%. This surface alone accounts for the largest share of the firm's recommendation activity in the tracked platform set.

The firm carries no negative framing in the September data. All 158 mentions classified as either positive or neutral, with zero negative mentions recorded.

Where Morgan Stanley Has the Clearest AI Visibility Gaps

Questions This Section Answers

• On which platforms does Morgan Stanley show high presence but low recommendation conversion?
• Which buyer-intent clusters remain unmeasured in the current benchmark?
• What gap in the competitive landscape does Morgan Stanley's visibility data reveal versus Bread Savings?

Morgan Stanley's presence-to-recommendation conversion is inconsistent across platforms. On Copilot, the firm appears in 90.9% of observations but is recommended in only 9.1%, with no top-three or rank-one placements. This is the clearest example of visibility without recommendation conversion in the dataset.

ChatGPT shows a similar pattern at a smaller scale. Morgan Stanley holds 70.6% raw presence but only 23.5% valid recommendation coverage, and while its rank-one rate of 17.6% is strong, the overall recommendation count is just 4 from 17 observations.

The public benchmark contains no qualified observations in the pricing and value or multi-brand comparison clusters. Morgan Stanley's rate competitiveness, term positioning, and performance in explicit side-by-side comparisons are therefore unmeasured in this dataset. Competitors such as Bread Savings, which pairs 29.9% coverage with a 0.889 net sentiment score, may be winning the qualitative framing battle even where Morgan Stanley wins placement.

Perplexity presents a moderate gap. Morgan Stanley holds 66.7% presence but only 20.0% valid recommendation coverage, with no rank-one placements recorded on that surface.

Biggest Opportunity

Questions This Section Answers

• What is the clearest strategic opportunity for Morgan Stanley in AI-driven CD discovery?

The clearest opportunity is converting Morgan Stanley's high-presence, low-conversion platform signals into recommendation-stage wins, particularly on Copilot and Perplexity. The firm already demonstrates that it can achieve rank-one status at scale on Google AI Mode and ChatGPT. Replicating that placement quality on surfaces where it is frequently mentioned but rarely selected would extend its leadership beyond the surfaces where it currently dominates.

Competitive Landscape

Questions This Section Answers

• Which two brands form the leading cluster in recommendation-stage strength?
• Where does Morgan Stanley's qualitative framing trail a close competitor despite leading in placement?

Morgan Stanley and Bread Savings form a two-brand leading cluster in recommendation-stage strength, with Morgan Stanley holding the top position at 32.7% coverage and Bread Savings close behind at 29.9%. The remaining tracked brands sit below 13% coverage, creating a wide gap between the leaders and the rest of the field.

Average recommended rank covers rank-eligible recommendations only.

Morgan Stanley leads the category in top-three and rank-one placement, but Bread Savings holds a materially stronger net sentiment score of 0.889 compared with Morgan Stanley's 0.557. JPMorgan Chase & Co. posts the strongest average recommended rank at 1.76, indicating that when it is recommended, it tends to appear near the top of the list, though its overall coverage is limited.

Prompt Evidence

Google AI Mode / Best CD Rates & Top Certificate of Deposit Accounts Prompt: "Who is offering the highest CD rates right now?" Result: Morgan Stanley appeared as a valid recommendation in 58.7% of qualified observations on this surface, with a rank-one rate of 19.6%.

ChatGPT / Best CD Rates & Top Certificate of Deposit Accounts Prompt: "What is the highest CD rate right now?" Result: Morgan Stanley achieved a 23.5% valid recommendation coverage rate with a 17.6% rank-one rate, indicating strong placement when recommended.

Copilot / Best CD Rates & Top Certificate of Deposit Accounts Prompt: "Which bank is giving the highest CD rate today?" Result: Morgan Stanley appeared in 90.9% of observations but was recommended in only 9.1%, showing presence without recommendation conversion.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompt themes within CD discovery that drive Morgan Stanley's rank-one placements and identify which surfaces contribute most to first-choice status.

Phase 2: Recommendation Readiness Plan Diagnose why Copilot and Perplexity show high presence but low recommendation conversion, and identify the answer patterns that lead those surfaces to mention rather than select Morgan Stanley.

Phase 3: Owned Answer Layer Buildout Develop owned content that answers rate, term, and accessibility questions directly, giving AI systems clearer material to cite when forming CD recommendations.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer that supports Morgan Stanley's recommended placements, focusing on sources that AI systems appear to retrieve when answering high-intent CD prompts.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track monthly changes in coverage, placement, and sentiment across platforms to measure whether recommendation-stage gains hold or shift toward competitors.

Why This Matters

AI systems are now forming the buyer shortlist for certificate of deposit discovery, and Morgan Stanley has moved from the edge of that shortlist to its center in three months. Presence alone no longer distinguishes brands in this category; the benchmark shows multiple institutions with high mention rates that rarely convert into actual recommendations.

The next stage of competition will be defined by which brands hold first-choice status across the full range of CD prompts, including pricing and comparison questions that the current public benchmark does not yet measure. Morgan Stanley's leadership is real but concentrated, and defending it will require closing the gap between being mentioned and being selected on every surface where CD buyers ask for recommendations.

Core Metrics

Sentiment Score

Sentiment Score = (positive mentions x 1 + neutral mentions x 0 + negative mentions x -1) / total mentions

For Morgan Stanley, this calculation is (88 x 1 + 70 x 0 + 0 x -1) / 158, producing a net sentiment score of 0.557.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI responses while being framed negatively or neutrally, and counting all mentions as wins would overstate its position. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal, and treating them as such produces bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates brands that are recommended from brands that are merely named.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Morgan Stanley's AI recommendation visibility in the certificates of deposits category, drawn from the LLM Authority Index AI Market Discovery Index and supporting metrics aggregation. It is not a client implementation case study.
2. The reporting window is September 2026, with July and August 2026 referenced for movement context.
3. Six AI and search surfaces were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews.
4. The benchmark collected 800 prompt-surface observations in September 2026, of which 658 were unique questions and 251 were relevant to the certificates of deposits vertical.
5. The qualified benchmark set contains 211 observations, which serves as the public denominator for all brand-level percentages.
6. The competitor universe includes 10 tracked brands: Morgan Stanley, Bread Savings, Goldman Sachs Group, JPMorgan Chase & Co., Bank of America Corp., Citigroup Inc., Capital One Financial Corp., Wells Fargo & Co., U.S. Bancorp, and American Express Co.
7. The public benchmark captures one buyer-intent cluster: Best CD Rates & Top Certificate of Deposit Accounts, classified under brand recommendation intent. No qualified observations exist for pricing and value or multi-brand comparison clusters.
8. A mention is defined as any appearance of a tracked brand within a qualified observation, regardless of framing or recommendation context.
9. A valid recommendation is defined as a positive mention in which the brand is explicitly recommended or shortlisted, with rank-eligible recommendations limited to those appearing in positions 1 through 10.
10. The July-to-September series includes a brand re-identification event in August 2026, when Capital One and American Express were replaced by Capital One Financial Corp. and American Express Co. as tracked entities. This affects those brands' movement interpretation but does not affect Morgan Stanley's metrics.
11. Morgan Stanley's movement from July to September exceeded normal month-to-month variation, while most other category movements fell within expected ranges.
12. Limitations: the public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, or causality from metric movement alone. Several competitor movements come from small absolute counts and should be read alongside their underlying counts. Source presence in AI responses is evidence about the information environment, not proof that a source caused a recommendation.

Get Your AI Visibility Audit

The public benchmark shows where Morgan Stanley wins and loses in AI-driven CD discovery, but the aggregate percentages do not reveal which high-intent prompts drive rank-one placement, which competitors lose share when Morgan Stanley gains it, or which external sources shape AI answers. A company-level AI visibility audit maps those underlying patterns into a prioritized strategy for converting presence into sustained recommendation power.