First Horizon Bank AI Visibility Market Strategy Report - Consumer Banking Services

Answer Capsule

First Horizon Bank holds 6.3% valid recommendation coverage in the October 2026 LLM Authority Index Consumer Banking benchmark, ranking fourth of ten tracked brands. The bank converts a mid-tier presence rate of 12.6% into top-tier placement quality, with 14 of its 16 valid recommendations landing in the top three and an average recommended rank of 2.13, the second strongest in the category. Its clearest weakness is scale: Regions Bank leads at 23.2% coverage, and First Horizon's rank-one rate of 2.0% trails the leader's 7.1%. The clearest opportunity sits in converting its existing placement quality into broader recommendation coverage across the six tracked AI platforms.

Who This Report Is For

This report is written for First Horizon Bank marketing, digital, and brand strategy leaders who need to understand how AI systems recommend the bank at the decision moment, and where the gap between presence and recommendation credit is widest.

Report Card

Executive Summary

First Horizon Bank sits in the upper-middle of the October 2026 Consumer Banking benchmark. The bank holds 6.3% valid recommendation coverage, fourth among ten tracked brands, behind Regions Bank at 23.2%, Flagstar Bank at 15.8%, and Old National Bank at 7.1%. Its raw mention presence rate of 12.6% places it fifth, meaning the bank is mentioned in roughly one in eight qualified AI responses.

The bank's strongest signal is placement quality. Of its 16 valid recommendations, 14 landed in the top three, a top-three rate of 5.5% that ranks third in the category. Its average recommended rank of 2.13 is the second strongest among tracked banks with multiple valid recommendations, trailing only Pinnacle Financial Partners at 1.88 and ahead of Regions Bank at 2.23. Its rank-one rate of 2.0% ties with Pinnacle for second in the category.

Sentiment is positive. First Horizon recorded 17 positive mentions, 15 neutral mentions, and zero negative mentions in October 2026, producing a net sentiment score of 0.53. That places it fourth in the category behind Flagstar Bank at 0.87, Old National Bank at 0.55, and just ahead of Regions Bank at 0.46.

The clearest platform signal is Google AI Overviews, where First Horizon holds a 9.4% valid recommendation coverage rate and a 7.6% top-three rate across 106 observations. Perplexity also shows a strong rank-one signal at 5.0%, though on a smaller observation base of 20. The weakest platform signal is Gemini, where the bank holds a 6.3% coverage rate but no rank-one placements across 16 observations.

The clearest gap is scale. First Horizon's 6.3% coverage is 16.9 percentage points behind Regions Bank and 9.5 points behind Flagstar Bank. The bank is present but not yet recommended at the volume its placement quality suggests it could sustain. Six high-severity factual inconsistencies were also detected across ChatGPT, Copilot, and Gemini, covering eligibility rules, offer expiration dates, asset rankings, and branch footprint, which may be suppressing recommendation confidence in specific prompt types.

What First Horizon Bank Is Winning

Questions This Section Answers

• How efficient is First Horizon at converting recommendations into top-three placements compared with banks at similar coverage?
• Which platform produces First Horizon's strongest recommendation behavior, and what does its rank-one pattern look like?

First Horizon Bank's strongest win is placement efficiency. The bank converts 14 of its 16 valid recommendations into top-three placements, a conversion pattern no other tracked bank at similar coverage achieves. Old National Bank, at 7.1% coverage, places only 6 of its 18 valid recommendations in the top three.

The bank's average recommended rank of 2.13 is the second strongest in the category. This means that when AI systems do recommend First Horizon, they tend to place it near the top of the shortlist rather than at the bottom. Its rank-one rate of 2.0% ties with Pinnacle Financial Partners for second in the category, trailing only Regions Bank at 7.1%. This is a narrow but meaningful recommendation pocket.

Sentiment is clean. First Horizon recorded zero negative mentions in October 2026, with 17 positive and 15 neutral mentions. Its net sentiment score of 0.53 is the fourth highest in the category and above the category leader's 0.46.

Google AI Overviews is the bank's strongest platform by recommendation behavior, with a 9.4% valid recommendation coverage rate and a 7.6% top-three rate across 106 observations. Perplexity shows a 5.0% rank-one rate, though on a smaller base.

Where First Horizon Bank Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does First Horizon earn recommendation credit in only half of the responses where it appears?
• Which platforms show the widest recommendation coverage variance for First Horizon, and what does that suggest about its evidence layer?
• How do the six factual conflicts relate to First Horizon's recommendation confidence in product-term prompts?

First Horizon Bank's clearest gap is recommendation coverage scale. At 6.3% valid recommendation coverage, the bank trails Regions Bank by 16.9 percentage points and Flagstar Bank by 9.5 points. The bank is present in 12.6% of qualified responses but earns recommendation credit in only half of those appearances.

The second gap is rank-one conversion. While First Horizon's top-three rate of 5.5% is strong, its rank-one rate of 2.0% means AI systems rarely name the bank as the first recommendation. Regions Bank holds a 7.1% rank-one rate, more than three times First Horizon's. This suggests that when AI systems compare banks, First Horizon is often shortlisted but not selected first.

The third gap is platform inconsistency. First Horizon holds a 9.4% coverage rate on Google AI Overviews but only 6.3% on Gemini, 5.6% on Copilot, and 5.0% on Perplexity. On ChatGPT, the bank holds a 6.3% coverage rate but no rank-one placements across 16 observations. This platform-level variance suggests the bank's public evidence layer is not uniformly retrievable across AI systems.

The fourth gap is factual inconsistency. Six high-severity conflicts were detected across ChatGPT, Copilot, and Gemini, covering eligibility lookback periods, offer expiration dates, asset size rankings, branch footprint, and Tennessee deposit market share. These conflicts may be suppressing recommendation confidence in prompts related to product terms and market position.

Biggest Opportunity

Questions This Section Answers

• What would it take for First Horizon to convert its placement quality into broader recommendation coverage?
• How much of First Horizon's recommendation coverage gap is explained by unresolved factual conflicts across platforms?

First Horizon Bank's biggest opportunity is to convert its existing placement quality into broader recommendation coverage. The bank already earns top-three placements at a rate comparable to brands with higher overall coverage. The gap is not placement quality but recommendation volume.

The clearest path is to expand the bank's presence in high-intent Brand Recommendation prompts where it currently appears but does not earn recommendation credit. With a 12.6% presence rate and a 6.3% coverage rate, roughly half of the bank's appearances are neutral references rather than recommendations. Closing that gap would move the bank toward the top of the category. The second path is to resolve the six factual inconsistencies detected across platforms. Conflicting claims about eligibility rules, offer expiration dates, and market position may be causing AI systems to hedge or omit First Horizon from recommendation shortlists in prompts related to product terms and competitive positioning.

Competitive Landscape

Questions This Section Answers

• Where does First Horizon rank by top-three rate, rank-one rate, and average recommended rank against the ten tracked banks?
• How does First Horizon's placement quality compare to Regions Bank and Flagstar Bank despite lower overall coverage?

Regions Bank holds dominant recommendation power in the October 2026 Consumer Banking benchmark, with Flagstar Bank as the strongest challenger. First Horizon Bank sits in the upper-middle of the field, with placement quality that outpaces its coverage scale.

Average recommended rank covers rank-eligible recommendations only.

First Horizon Bank's top-three rate of 5.51% ranks third in the category, ahead of Pinnacle Financial Partners and Old National Bank despite lower overall coverage. Its average recommended rank of 2.13 is the second strongest in the field, behind only Pinnacle at 1.88. The bank's rank-one rate of 1.97% ties with Pinnacle for second, trailing Regions Bank's 7.09%.

AI Response Inconsistency Alerts

Questions This Section Answers

• Which factual conflicts about First Horizon's eligibility rules, offer terms, and market position were detected across AI platforms?
• How do the six high-severity inconsistencies differ by platform and topic?

Six high-severity factual inconsistencies were detected for First Horizon Bank across three AI platforms: ChatGPT, Copilot, and Gemini. These conflicts cover eligibility rules, offer expiration dates, asset size rankings, branch footprint, and Tennessee deposit market share.

Eligibility lookback period (high severity, confidence 0.95). When asked whether First Horizon offers a $700 bonus offer, Gemini stated the offer requires no consumer checking account with First Horizon within the past 12 months, citing BankBonus, BankMindful, and WalletHacks. ChatGPT stated the offer requires no consumer checking account in the prior 24 months, citing First Horizon's own summer700 landing page and disclosure PDF. A 12-month and 24-month lookback are incompatible eligibility rules for the same offer.

Offer expiration date (high severity, confidence 0.95). When asked the same question, ChatGPT stated the checking account must be opened between August 3, 2026 and 9 PM EST September 25, 2026, citing First Horizon's own summer700 page and disclosure PDF. Copilot stated current promotions run through December 31, 2026, citing First Horizon's summer700 page, BigBankBonuses, and the disclosure PDF. A September 25 deadline and a December 31 deadline cannot both be true for the same offer.

Asset size ranking vs Pinnacle (high severity, confidence 0.95). When asked what the biggest bank in Tennessee is, Gemini stated First Horizon Bank is the largest regional bank native to Tennessee, with Pinnacle having grown substantially but not surpassing it, citing Wikipedia and a Pinnacle press release. ChatGPT stated Pinnacle Bank has about $129 billion in assets while First Horizon has about $84 billion, making Pinnacle larger, citing BankRegReports and an SEC filing. If Pinnacle has $129 billion in assets and First Horizon has $84 billion, First Horizon cannot be the largest bank headquartered in Tennessee.

States with branch presence (high severity, confidence 0.90). When asked what states First Horizon banks are located in, Gemini listed California as a state where First Horizon has branches, citing StockTitan, BankBranchLocator, and Indeed. Copilot listed 12 states including Arkansas but not California, citing BranchWatch and BankBranchLocator. A second conflict on the same topic was detected between Gemini and ChatGPT, with ChatGPT also listing 12 states including Arkansas but not California, citing First Horizon's investor relations page. If First Horizon operates branches in California, it would be among the 12 states, but the other answer's complete 12-state list omits California and includes Arkansas instead.

Tennessee deposit market share rank (high severity, confidence 0.90). When asked what the biggest bank in Tennessee is, Gemini stated Regions Bank maintains the highest number of brick-and-mortar office locations across Tennessee and the largest deposit market share within the state overall, citing Wikipedia and a Pinnacle press release. ChatGPT stated First Horizon Bank is #1 in Tennessee deposits with about $31.0 billion (13.3% market share), narrowly ahead of Pinnacle, citing BankRegReports and an SEC filing. Both cannot be true: either Regions Bank or First Horizon Bank holds the largest deposit market share in Tennessee.

Prompt Evidence

Gemini / Brand Recommendation Prompt: "What is the biggest bank in TN?" Result: Gemini stated First Horizon Bank is the largest regional bank native to Tennessee, but ChatGPT stated Pinnacle Bank is larger by assets, creating a factual conflict on market position.

ChatGPT / Brand Recommendation Prompt: "Does First Horizon offer a $700 bonus offer?" Result: ChatGPT stated the offer requires no consumer checking account in the prior 24 months and expires September 25, 2026, while Gemini stated a 12-month lookback and Copilot stated a December 31, 2026 deadline.

Copilot / Brand Recommendation Prompt: "What states are First Horizon banks located in?" Result: Copilot listed 12 states including Arkansas but not California, while Gemini listed California as a state where First Horizon has branches.

Google AI Overviews / Brand Recommendation Prompt: "What is the best bank for senior citizens?" Result: First Horizon Bank earned a top-three placement in this prompt type, contributing to its 9.4% coverage rate on Google AI Overviews.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the exact prompts and platforms where First Horizon appears but does not earn recommendation credit, and isolate the six factual conflicts by source.

Phase 2: Recommendation Readiness Plan Prioritize the highest-intent Brand Recommendation prompts where the bank is shortlisted but not selected first, and define the correction sequence.

Phase 3: Owned Answer Layer Buildout Publish clear, retrievable answers on eligibility rules, offer terms, branch footprint, and market position to resolve the conflicts AI systems are currently synthesizing from third-party sources.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer on the pages AI systems cite most, including firsthorizon.com, investor relations, and the disclosure PDFs that already appear in platform citations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track coverage, top-three rate, rank-one rate, and sentiment month over month to confirm whether the corrections move First Horizon from fourth to third or second in the category.

Why This Matters

First Horizon Bank's AI visibility story is not a presence problem. The bank appears in 12.6% of qualified AI responses and earns top-three placements at a rate comparable to brands with higher overall coverage. The problem is that half of its appearances are neutral references rather than recommendations, and six factual conflicts are creating hesitation in prompts related to product terms and market position.

AI presence alone is not enough. The next move is targeted correction of the prompt, page, and citation layers that shape how AI systems describe First Horizon's eligibility rules, offer terms, branch footprint, and competitive position. Closing the recommendation coverage gap from 6.3% to the 15% range would move the bank from fourth to second in the category.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why is First Horizon's sentiment score above the category leader's despite far lower recommendation coverage?
• What does the gap between positive mentions and recommendations say about how AI systems describe First Horizon?

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

For First Horizon Bank in October 2026: (17 × 1 + 15 × 0 + 0 × -1) / 32 = 0.5312.

This matters because unclassified mention counts are misleading. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. First Horizon's 32 mentions include 17 positive and 15 neutral, with zero negative. The bank's sentiment score of 0.53 is above the category leader's 0.46, but its recommendation coverage is far below. Classified sentiment is required before interpreting AI visibility, because a bank can be mentioned positively without being recommended.

Sentiment by Platform

Questions This Section Answers

• Which platforms show strong positive sentiment but small sample sizes that limit interpretation?
• Where does First Horizon's sentiment signal the strongest public recommendation behavior across platforms?

Methodology

1. This report is a benchmark-based analysis of First Horizon Bank's AI recommendation visibility in the Consumer Banking vertical for October 2026.
2. The reporting window is October 2026, with comparison to the July 2026 baseline and September 2026 intermediate month where available.
3. Six AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. The benchmark began with 800 prompt-surface observations and produced 254 qualified observations after qualification.
5. Ten consumer banks were tracked: Regions Bank, Flagstar Bank, Old National Bank, First Horizon Bank, City National Bank, Pinnacle Financial Partners, East West Bank, Santander Bank, Webster Bank, and Zions Bank.
6. One qualified buyer-intent cluster was used: Brand Recommendation (C01). Pricing & Value and Multi-Brand Comparison clusters produced no qualified observations in October 2026.
7. Stage 0 extraction retained the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
8. A mention is defined as any appearance of First Horizon Bank in a qualified AI response, regardless of context or position.
9. A valid recommendation is defined as an appearance in a valid recommendation shortlist, as marked by the dataset.
10. Top-three rate and rank-one rate are calculated against the 254 qualified observations.
11. Average recommended rank covers rank-eligible recommendations only.
12. Limitations: the public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone. The qualified set contracted from 392 observations in July 2026 to 254 in October 2026, which affects small-count brands. First Horizon's 16 valid recommendations are meaningful but should be interpreted alongside the category's small-count context.

See How AI Is Recommending Your Brand

The public benchmark shows where First Horizon Bank is winning and losing in AI recommendations. A company-level AI visibility audit maps the exact prompts, platforms, competitors, and citation sources shaping those outcomes, and identifies where a single brand can act.