CiteWorks Studio

American Express AI Market Strategy Report - Certificates of Deposits

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • American Express appeared in 23 of 211 qualified certificate of deposit observations, but only 3 mentions converted into valid recommendations.
  • The brand had 1.42% recommendation coverage in September 2026, with no top-three placements and no rank-one recommendations.
  • Perplexity produced the only rank-eligible recommendation, while ChatGPT, Copilot, AI Mode, and AI Overviews showed presence without recommendation credit.
  • Sentiment was modestly positive with no negative mentions, suggesting the main issue is recommendation conversion rather than unfavorable brand framing.

Answer Capsule

American Express Co. holds minimal recommendation-stage visibility in AI-driven certificate of deposit discovery, with valid recommendation coverage of just 1.42% in September 2026. The brand appears in only 10.90% of qualified observations, and none of those appearances convert into top-three or rank-one recommendations. The clearest weakness is a near-total absence from the recommendation layer, while the clearest opportunity lies in converting its small base of positive mentions into rank-eligible recommendations across platforms where it already registers presence.

Who This Report Is For

This report is for deposit product leaders, brand strategy teams, and digital acquisition executives at American Express who need to understand how AI systems currently frame the brand in certificate of deposit discovery conversations.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

American Express Co.

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

American Express Co. holds a marginal position in AI-generated certificate of deposit recommendations. The September 2026 LLM Authority Index benchmark shows the company appearing in 23 of 211 qualified observations, a raw mention presence rate of 10.90%. Of those appearances, only 3 register as valid recommendations, producing coverage of 1.42%. The company records no top-three placements and no rank-one recommendations.

The sentiment picture is modestly positive. American Express Co. received 5 positive mentions and 18 neutral mentions, with zero negative framing, producing a net sentiment score of 0.2174. This indicates that when AI systems do reference the brand, the framing is constructive, but those references rarely rise to the level of an actual recommendation.

The strongest platform signal comes from Perplexity, where the company recorded its only rank-eligible recommendation with an average recommended rank of 4. The clearest platform gap is across the Google surfaces, where American Express Co. appears in AI Mode and AI Overviews but never converts presence into recommendation credit.

The benchmark data also reflects a tracking transition. American Express was tracked under its shortened name in July 2026 and shifted to American Express Co. in August 2026. The apparent coverage decline from 37.0% to 0.0% for the July-only label is an attribution shift tied to that naming change, not necessarily a loss of underlying market presence.

What American Express Is Winning

Questions This Section Answers

  • Where does American Express Co. currently show measurable strength in CD-related AI responses?
  • Which platform is most likely to give American Express Co. recommendation credit?

American Express Co. has few measurable wins in this dataset, and they are narrow.

The brand records zero negative mentions across all 211 qualified observations. Every reference to American Express Co. in AI-generated responses is either positive or neutral, which is a cleaner framing profile than several competitors that carry negative sentiment in this category.

The company also holds a positive net sentiment score of 0.2174. While the sample is small, the absence of negative framing means the public evidence layer does not currently contain cautionary or critical narratives that AI systems are surfacing.

Perplexity is the one platform where American Express Co. converts presence into recommendation credit. The brand recorded 1 valid recommendation on that surface with an average recommended rank of 4, suggesting that at least one high-intent prompt cluster produces a rank-eligible mention.

Where American Express Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does American Express Co. trail category leaders like Morgan Stanley and Bread Savings?
  • On which AI surfaces does the brand appear without earning any recommendation credit?

The dominant gap is recommendation conversion. American Express Co. appears in 23 observations but is recommended in only 3, a conversion rate that leaves the brand far behind the category leaders. Morgan Stanley converts 158 mentions into 69 valid recommendations, while Bread Savings converts 81 mentions into 63 valid recommendations. American Express Co. is present but not chosen.

The brand holds no top-three placements and no rank-one recommendations in September 2026. By comparison, Morgan Stanley records a 21.33% top-three rate and a 10.43% rank-one rate, while Bread Savings records 17.06% and 4.27% respectively. Even JPMorgan Chase & Co., with lower overall coverage, achieves a 7.58% top-three rate and a 4.74% rank-one rate.

Platform coverage is uneven. American Express Co. appears on all six tracked surfaces but holds valid recommendation coverage on only two: Gemini at 3.77% and Perplexity at 3.33%. On ChatGPT, Copilot, AI Mode, and AI Overviews, the brand registers presence but earns zero recommendation credit. The Google surfaces are the clearest gap, with AI Mode showing 1 mention and AI Overviews showing 5 mentions, none of which convert into recommendations.

Biggest Opportunity

Questions This Section Answers

  • What is the clearest path for American Express Co. to turn mentions into CD recommendations?

The clearest opportunity for American Express Co. is converting its existing positive mention base into rank-eligible recommendations on the platforms where it already has presence. The brand currently holds 23 mentions with zero negative framing, yet only 3 of those mentions become valid recommendations. The gap between positive framing and recommendation conversion suggests the issue is not how AI systems describe the brand, but whether the public evidence layer supports recommending it in certificate of deposit discovery prompts.

Perplexity is the proof point. It is the only platform where American Express Co. earns recommendation credit, which means at least one prompt context produces a rank-eligible outcome. Expanding the source footprint that supports CD-specific recommendations, particularly around rate competitiveness and product attributes, would give AI systems more retrievable material when forming shortlists.

Competitive Landscape

Questions This Section Answers

  • Where does American Express Co. rank against the 10 tracked CD competitors?
  • Which competitors hold the strongest top-three and rank-one recommendation rates?

Morgan Stanley and Bread Savings hold dominant recommendation-stage strength in this category, with American Express Co. positioned at the bottom of the tracked competitive set. The brand trails every tracked competitor in valid recommendation coverage.

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

JPMorgan Chase & Co.

7.58%

4.74%

1.76

0.25

Goldman Sachs Group

4.74%

2.37%

4

0.3306

Bank of America Corp.

4.27%

0.00%

2.85

0.1508

Citigroup Inc.

1.42%

0.00%

4.73

0.198

Wells Fargo & Co.

1.42%

0.00%

4.29

0.0792

Capital One Financial Corp.

0.47%

0.00%

7.38

0.1429

U.S. Bancorp

0.00%

0.00%

6.17

0.1356

American Express Co.

0.00%

0.00%

4

0.2174

Average recommended rank covers rank-eligible recommendations only.

American Express Co. sits at the bottom of the competitive table by top-three rate and rank-one rate. Its single rank-eligible recommendation places it at rank 4, which is mid-pack for average recommended rank, but the sample is too small to treat as a stable signal. The brand's sentiment score of 0.2174 is higher than several competitors with stronger recommendation positions, which reinforces that framing quality is not the constraint.

Prompt Evidence

Questions This Section Answers

  • Which CD-related prompts produce recommendation credit for American Express Co., and which do not?

Perplexity / Brand Recommendation Prompt: "Who is offering the highest CD rates right now?" Result: American Express Co. received its only rank-eligible recommendation on this surface, appearing at rank 4.

Gemini / Brand Recommendation Prompt: "What is the highest CD rate right now?" Result: The brand appeared in 10 observations with 2 positive mentions but earned no top-three or rank-one placement.

AI Overviews / Brand Recommendation Prompt: "Which bank currently has the best savings account?" Result: American Express Co. appeared in 5 observations, all neutral, with zero recommendation credit.

ChatGPT / Brand Recommendation Prompt: "What are the best high-yield savings right now?" Result: The brand appeared once in a neutral context with no recommendation outcome.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompt themes where American Express Co. appears but is not recommended, and identify which competitor displaces the brand in each context.

Phase 2: Recommendation Readiness Plan Build a CD-specific answer architecture that gives AI systems clear, retrievable material on rate competitiveness, term options, and product attributes.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly answers high-intent CD discovery prompts, with consistent entity naming and product-level detail.

Phase 4: Citation / Authority Layer Development Strengthen the third-party source footprint that AI systems can cite when forming CD recommendations, prioritizing sources that already rank for rate comparison queries.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track whether presence converts into recommendation credit over time, with particular attention to the Google surfaces where the brand currently holds zero conversion.

Why This Matters

Questions This Section Answers

  • Why does the gap between positive framing and recommendation conversion matter for American Express Co.?

AI-generated responses are becoming the first filter in certificate of deposit discovery. When a buyer asks which institutions offer competitive CD rates, the brands that appear in the recommendation layer shape the consideration set before the buyer ever visits a website. American Express Co. is currently present in that conversation but rarely chosen, which means the brand is visible without being actionable.

The gap between positive framing and recommendation conversion is the strategic issue. AI systems do not describe American Express Co. negatively, but they also do not shortlist it. Closing that gap requires targeted work on the prompt, page, and citation layers so the public evidence supports recommendation outcomes, not just neutral references.

Core Metrics

Metric

Value

Mentions

23

Valid recommendations

3

Top 3 recommendation count

0

Rank #1 recommendation count

0

Average recommended rank

4

Positive mentions

5

Neutral mentions

18

Negative mentions

0

Raw mention presence rate

10.90%

Valid recommendation coverage

1.42%

Top 3 recommendation rate

0.00%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.2174

Strongest cluster by recommendation behavior

Brand Recommendation

Strongest platform by recommendation behavior

Perplexity

Sentiment Score

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

For American Express Co., the calculation is (5 × 1 + 18 × 0 + 0 × -1) / 23, producing a net sentiment score of 0.2174.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI responses while being framed negatively or neutrally, and neither outcome supports recommendation conversion. 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 counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because the framing quality determines whether presence can convert into buyer action.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

1

0

1

0

0.00

Present as context, not recommendation

Copilot

3

2

1

0

0.6667

Positive, but sample too small

Gemini

10

2

8

0

0.20

Present, but not recommendation-led

Perplexity

3

1

2

0

0.3333

Positive, but sample too small

AI Mode

1

0

1

0

0.00

Present as context, not recommendation

AI Overviews

5

0

5

0

0.00

Present as context, not recommendation

Methodology

  1. This report is a company-level AI market strategy readout based on the LLM Authority Index AI Market Discovery Index for the Certificates of Deposits vertical, 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/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Mode, and 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. Brand-level percentages use 211 qualified observations as the public denominator.
  6. The competitor universe includes 10 tracked brands: Bread Savings, American Express Co., Bank of America Corp., Capital One Financial Corp., Citigroup Inc., Goldman Sachs Group, JPMorgan Chase & Co., Morgan Stanley, U.S. Bancorp, and Wells Fargo & Co.
  7. The public benchmark captured qualified observations in one buyer-intent cluster: Brand Recommendation. No qualified observations were recorded in Pricing & Value or Multi-Brand Comparison clusters.
  8. Stage 0 extraction retains the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and where exposed, citations or attributable evidence sources.
  9. A mention is any qualified observation where the brand appears in any form, regardless of framing or recommendation outcome.
  10. A valid recommendation is a qualified observation where the brand appears in a recommendation context with rank eligibility.
  11. The July-to-September series includes a brand re-identification event in August 2026, where American Express was replaced by American Express Co. as the tracked entity. The apparent coverage decline for the July-only label is an attribution shift, not necessarily a loss of market presence.
  12. Limitations: The qualified denominator is smaller than the raw collection universe, several movements come from small absolute counts, and the public benchmark does not measure market share, attributable sales, or causality from metric movement alone.

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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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