CiteWorks Studio

Citigroup Inc. AI Market Strategy Report - Certificates of Deposits

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Citigroup was mentioned in 47.87% of qualified AI observations but converted only 5.21% into valid recommendations, showing a large gap between visibility and selection.
  • The bank recorded zero rank-one placements and a 1.42% top-three rate across six tracked AI surfaces, limiting decision-stage visibility.
  • Gemini was Citigroup’s strongest platform, delivering 7.55% valid recommendation coverage, while ChatGPT showed neutral presence without recommendation traction.
  • The main opportunity is to turn 81 neutral mentions into recommendation-ready coverage through clearer CD product content, comparisons, and stronger citation support.

Answer Capsule

Citigroup Inc. holds a 47.87% raw mention presence rate in AI-generated certificate of deposit recommendations for September 2026, yet converts only 5.21% of qualified observations into valid recommendations. The bank appears frequently in AI responses but is rarely selected as a recommended option, placing it ninth among ten tracked brands for recommendation-stage visibility. Its strongest platform signal comes from Gemini, where it reaches 7.55% valid recommendation coverage, while it records zero rank-one placements across all tracked AI surfaces. The clearest opportunity lies in converting its substantial neutral mention base into positive recommendation contexts through targeted citation and content development.

Who This Report Is For

This report is for Citigroup Inc. marketing, digital strategy, and deposit product leadership teams responsible for AI search visibility and competitive positioning in certificate of deposit discovery.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Citigroup Inc.

Category / market studied

Certificates of Deposits

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Mode, AI Overviews)

Public high-intent clusters

1

AI observations analyzed

211

Competitors tracked

10

Executive Summary

Citigroup Inc. demonstrates a persistent gap between visibility and recommendation conversion in AI-driven certificate of deposit discovery. The September 2026 LLM Authority Index benchmark shows Citigroup appearing in 101 of 211 qualified observations, a 47.87% raw mention presence rate, but converting only 11 of those appearances into valid recommendations, a 5.21% coverage rate. This pattern indicates the bank is present in AI responses without being positioned as a recommended choice.

The sentiment profile is predominantly neutral. Citigroup recorded 81 neutral mentions, 20 positive mentions, and zero negative mentions across the qualified observation set. Its net sentiment score of 0.198 reflects a largely neutral framing that does not translate into recommendation-stage strength. The bank's strongest cluster is the single qualified public cluster, Best CD Rates & Top Certificate of Deposit Accounts, which captured all 211 qualified observations in September 2026.

Gemini is Citigroup's strongest platform signal, with 7.55% valid recommendation coverage and a 3.50 average recommended rank. ChatGPT and Copilot show minimal recommendation activity, while AI Mode and AI Overviews produce limited but measurable coverage. Perplexity delivers 6.67% valid recommendation coverage, suggesting some cross-platform consistency in how the bank is referenced.

The clearest platform gap is the absence of rank-one placements across all six tracked surfaces. Citigroup's top-three rate of 1.42% and rank-one rate of 0.00% indicate that even when the bank is recommended, it appears lower in the ranking order. This pattern is consistent with a brand that AI systems acknowledge but do not prioritize for certificate of deposit selection.

What Citigroup Inc. Is Winning

Citigroup's primary measurable strength is the absence of negative framing. The bank recorded zero negative mentions across all 211 qualified observations in September 2026, a distinction shared with only a few competitors in the tracked set. This clean sentiment baseline provides a foundation for building more positive recommendation contexts without needing to repair negative associations.

The bank also shows meaningful presence on Gemini, where it reaches 7.55% valid recommendation coverage with a 3.50 average recommended rank. This is Citigroup's strongest platform performance and suggests that Gemini's answer patterns are more receptive to including the bank as a recommended option than other surfaces.

Citigroup's raw mention presence of 47.87% demonstrates that AI systems consistently recognize the bank as a relevant entity in certificate of deposit conversations. This recognition is not recommendation strength, but it does mean the bank is part of the consideration set that AI systems draw from when constructing answers.

Where Citigroup Inc. Has the Clearest AI Visibility Gaps

The dominant gap is the conversion of presence into recommendation. Citigroup appears in nearly half of all qualified observations but is recommended in only 5.21% of them. This means the bank is being mentioned as context, comparison material, or general reference rather than as a suggested option for certificate of deposit buyers.

The absence of rank-one placements is the most concrete competitive weakness. Morgan Stanley leads the category with a 10.43% rank-one rate, and JPMorgan Chase & Co. achieves 4.74%, while Citigroup records 0.00%. Even Bread Savings, which trails Morgan Stanley in overall coverage, reaches a 4.27% rank-one rate. Citigroup is not being positioned as a first-choice option on any tracked AI surface.

Citigroup's top-three rate of 1.42% places it near the bottom of the tracked set, ahead of only Capital One Financial Corp., U.S. Bancorp, and American Express Co. The bank's average recommended rank of 4.73 when it does receive recommendation credit indicates placement in the middle of answer lists rather than at decision-critical positions.

The competitive displacement is clear when compared to category leaders. Morgan Stanley holds 32.70% valid recommendation coverage, Bread Savings holds 29.86%, and Goldman Sachs Group holds 12.32%. Citigroup's 5.21% places it in the lower tier alongside Wells Fargo & Co. at 3.32% and U.S. Bancorp at 2.84%, despite the bank's substantially higher raw presence than those competitors.

Biggest Opportunity

The clearest opportunity for Citigroup is converting its substantial neutral mention base into positive recommendation contexts. The bank recorded 81 neutral mentions in September 2026, the highest neutral count among all tracked brands. These neutral appearances represent moments where AI systems reference Citigroup without framing it as a recommended option. If even a portion of these neutral mentions shifted toward positive recommendation framing, the bank's valid recommendation coverage would rise meaningfully.

This conversion requires attention to the citation and content layer that AI systems draw from when constructing certificate of deposit answers. The public evidence layer appears to support Citigroup's inclusion as a recognized financial institution but does not currently support its selection as a recommended certificate of deposit provider. Building content that positions Citigroup's CD products, rates, and terms in comparison-ready formats would give AI systems the source material needed to recommend the bank rather than merely mention it.

Competitive Landscape

Morgan Stanley and Bread Savings hold dominant recommendation-stage strength in the certificates of deposit category, with Citigroup Inc. positioned in the lower tier despite substantial raw presence. The following table shows how each tracked brand performs on recommendation placement metrics.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Morgan Stanley

21.33%

10.43%

3.01

0.557

Bread Savings

17.06%

4.27%

3.52

0.8889

Goldman Sachs Group

4.74%

2.37%

4.00

0.3306

JPMorgan Chase & Co.

7.58%

4.74%

1.76

0.25

Bank of America Corp.

4.27%

0.00%

2.85

0.1508

Citigroup Inc.

1.42%

0.00%

4.73

0.198

Capital One Financial Corp.

0.47%

0.00%

7.38

0.1429

Wells Fargo & Co.

1.42%

0.00%

4.29

0.0792

U.S. Bancorp

0.00%

0.00%

6.17

0.1356

American Express Co.

0.00%

0.00%

4.00

0.2174

Average recommended rank covers rank-eligible recommendations only.

Citigroup's 1.42% top-three rate and 0.00% rank-one rate place it in the lower tier of the competitive set, below JPMorgan Chase & Co. and Bank of America Corp. despite comparable or higher raw presence. The bank's 4.73 average recommended rank indicates that when it does receive recommendation credit, it appears lower in answer lists than competitors with stronger recommendation profiles.

Prompt Evidence

Gemini / Best CD Rates & Top Certificate of Deposit Accounts Prompt: "Who is offering the highest CD rates right now?" Result: Citigroup appeared in the response but was not positioned among the top recommended options, consistent with its 7.55% Gemini recommendation coverage.

ChatGPT / Best CD Rates & Top Certificate of Deposit Accounts Prompt: "What CD has the highest interest rate?" Result: Citigroup received a neutral mention without recommendation credit, reflecting the platform's 0.00% valid recommendation coverage for the bank.

Perplexity / Best CD Rates & Top Certificate of Deposit Accounts Prompt: "Which bank currently has the best savings account?" Result: Citigroup appeared in a limited recommendation context with a 6.67% coverage rate, but recorded no rank-one or top-three placements.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompt themes within certificate of deposit discovery where Citigroup receives neutral mentions versus recommendation credit to identify the highest-leverage conversion points.

Phase 2: Recommendation Readiness Plan Develop a structured approach to positioning Citigroup's CD products in formats that AI systems can retrieve and synthesize into recommendation contexts.

Phase 3: Owned Answer Layer Buildout Create owned content that directly answers high-intent certificate of deposit questions with Citigroup as a recommended option, including rate comparisons and product term details.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer that supports Citigroup's CD offerings across third-party financial sites, comparison platforms, and authoritative banking content.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor Citigroup's valid recommendation coverage, top-three rate, and rank-one rate across all six tracked AI surfaces to measure conversion progress.

Why This Matters

AI-generated recommendations are becoming the decision moment for certificate of deposit buyers. When a buyer asks which bank offers the best CD rates, the brands that appear as recommended options capture consideration, while brands that appear only as neutral mentions remain invisible to the actual selection process. Citigroup's high presence without recommendation conversion means the bank is being seen but not chosen.

The next move is targeted correction of the prompt, page, and citation layers that determine whether AI systems recommend Citigroup or merely reference it. Presence alone is not enough in AI-led discovery. The brands that win will be those that convert visibility into recommendation-stage positioning.

Core Metrics

Metric

Value

Mentions

101

Valid recommendations

11

Top 3 recommendation count

3

Rank #1 recommendation count

0

Average recommended rank

4.73

Positive mentions

20

Neutral mentions

81

Negative mentions

0

Raw mention presence rate

47.87%

Valid recommendation coverage

5.21%

Top 3 recommendation rate

1.42%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.198

Strongest cluster by recommendation behavior

Best CD Rates & Top Certificate of Deposit Accounts

Strongest platform by recommendation behavior

Gemini

Sentiment Score

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

For Citigroup Inc. in September 2026: (20 × 1 + 81 × 0 + 0 × -1) / 101 = 0.198.

This score matters because unclassified mention counts are misleading. Citigroup's 101 total mentions would suggest strong AI visibility, but the sentiment classification reveals that 80.2% of those mentions are neutral references rather than positive recommendations. 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 in their commercial impact. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because the difference between being mentioned and being recommended is the difference between being visible and being chosen.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Gemini

32

10

22

0

0.3125

Strongest public recommendation signal

ChatGPT

8

1

7

0

0.125

Present as context, not recommendation

Copilot

8

2

6

0

0.25

Present, but not recommendation-led

Perplexity

13

2

11

0

0.1538

Present as context, not recommendation

AI Mode

11

1

10

0

0.0909

Present, but not recommendation-led

AI Overviews

29

4

25

0

0.1379

Present as context, not recommendation

Methodology

  1. This report is a benchmark-based analysis of Citigroup Inc.'s AI visibility and recommendation positioning in the certificates of deposit category, derived 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 comparative reference to July 2026 and August 2026 where the public benchmark provides historical context.
  3. Six AI and search surface families 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 deposit vertical.
  5. The qualified benchmark denominator is 211 observations, which is smaller than the raw collection universe. Brand-level percentages are calculated only within the qualified set.
  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 captured qualified observations in one buyer-intent cluster: Best CD Rates & Top Certificate of Deposit Accounts. No qualified observations were recorded in 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 an appearance where the brand is explicitly recommended or shortlisted as an option, distinct from a neutral reference or comparison anchor.
  10. The benchmark records changes between percentage rates as percentage points. Movement between months identifies changes worth investigating but does not by itself establish causation.
  11. The July-to-September series includes a brand re-identification event in August 2026, where Capital One and American Express were replaced by Capital One Financial Corp. and American Express Co. as tracked entities. This affects historical comparison for those brands only.
  12. Limitations: The public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, or social mention volume. Several brand-level movements come from small absolute counts and should be read alongside their underlying counts rather than as stable rates. 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 Citigroup Inc. wins and loses in AI-generated certificate of deposit recommendations, but aggregate percentages hide the questions that matter most for competitive position. A company-level AI visibility audit maps the underlying prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy that turns the benchmark's signal into an actionable diagnosis.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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