Consumer Banking Alabama: AI Visibility Market Discovery Index

Benchmark Summary

Regions Bank leads the Consumer Banking benchmark in October 2026 with valid recommendation coverage of 41.2%, ahead of United Bank at 6.4%, a gap of 34.8 percentage points. No brand recorded a significant coverage increase or decline this month; the category moved within normal month-to-month variation.

The largest single-month movement in raw presence belonged to Hancock Whitney, whose presence rate rose to 9.7% in October 2026 from 6.9% in September 2026, while its valid recommendation coverage stayed essentially flat, at 1.3% in October 2026 from 1.0% in September 2026. Bryant Bank recorded the largest single-month presence decline, falling to 2.2% in October 2026 from 3.6% in September 2026, with valid recommendation coverage moving to 1.9% from 3.3% over the same period. Regions Bank, the category leader, held its position with valid recommendation coverage of 41.2% in October 2026, up from 40.5% in September 2026.

The benchmark began with 795 prompt-surface observations in October 2026 (798 in September 2026) and produced 311 qualified observations after qualification (304 in September 2026).

Current Benchmark at a Glance

Qualified surface breadth counts the number of canonical AI surface families with at least one qualified observation in the month: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. Keyword-level platform variants are rolled into their parent families.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Consumer Banking Alabama

Research Scope and Qualification

Questions This Section Answers

• How does the raw collection narrow down to the 311 qualified benchmark observations?
• What do the qualified observations represent compared with the raw prompt-surface observations?

The public benchmark is narrower than the raw collection universe by design. The table below shows how the collection narrows at each stage.

Brand-level percentages use the qualified observations as the public denominator, not the raw collection. For full detail, see AI Visibility Market Discovery Methodology.

Current Brand Standings

Questions This Section Answers

• Which consumer banks lead the October 2026 standings, and by how much?
• How do presence rate, valid recommendation coverage, top-three rate, and rank-one rate differ across the tracked brands?

This table is the primary current-month benchmark view for October 2026.

How to Read the Standings

• Presence rate: the share of qualified observations in which the brand was mentioned at all.
• Valid recommendation coverage: the share of qualified observations in which the brand appeared in a valid recommendation shortlist.
• Top-three rate: the share of qualified observations in which the brand was recommended in a top-three position.
• Rank-one rate: the share of qualified observations in which the brand was the first recommendation.
• Net sentiment: the balance of positive and negative mentions, expressed as a score from -1 to 1.

For formulas and denominator rules, see AI Visibility Market Discovery Metric Definitions.

Recommendation Coverage Movement

Questions This Section Answers

• Which consumer bank recorded the largest recommendation coverage gain, and is it a trend?
• Where did recommendation coverage decline, and how large was the change?
• What drove Regions Bank's continued lead in recommendation coverage?

Movement is measured from the baseline month (September 2026) to the current month (October 2026).

No brand moved beyond normal month-to-month variation in valid recommendation coverage this month. Four brands edged up, one edged down, and two held at zero in both months. Absolute counts are small for several brands: Bryant Bank's coverage reflects only 6 shortlist appearances in October 2026 versus 10 in September 2026, and River Bank & Trust's reflects only 2 versus 1.

Largest Increase: United Bank

United Bank recorded the largest coverage gain in the series, moving to 6.4% in October 2026 from 5.6% in September 2026, an increase of 0.8 percentage points. The change is within normal month-to-month variation and is not yet a trend. In absolute terms, valid recommendation appearances rose from 17 in September 2026 to 20 in October 2026, and the brand's rank-one rate moved to 1.6% in October 2026 from 1.0% in September 2026.

Largest Decline: Bryant Bank

Bryant Bank recorded the largest coverage decline in the series, moving to 1.9% in October 2026 from 3.3% in September 2026, a decrease of 1.4 percentage points. The change is within normal month-to-month variation. In absolute terms, valid recommendation appearances fell from 10 in September 2026 to 6 in October 2026. The brand's top-three rate also fell, to 0.6% in October 2026 from 3.0% in September 2026, reflecting 2 top-three appearances versus 9.

Category Leader: Regions Bank

Regions Bank remains the category leader in October 2026 with valid recommendation coverage of 41.2%, up from 40.5% in September 2026. The brand's rank-one rate rose to 14.1% in October 2026 from 8.9% in September 2026, its strongest first-position performance in the two-month series record. In absolute terms, rank-one appearances rose from 27 in September 2026 to 44 in October 2026.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. The leading brands in October 2026 are shown below with their baseline comparison.

Close coverage can still hide different first-position rates: United Bank and Bryant Bank sit within a few points of each other on coverage terms in October 2026, yet United Bank appears first in 1.6% of qualified observations while Bryant Bank does not appear first at all.

Buyer-Intent Distribution

Questions This Section Answers

• Which buyer-intent classes produced qualified observations in the consumer banking benchmark?
• Why do pricing and multi-brand comparison classes show zero qualified observations?

All qualified observations in both months fell into the Brand Recommendation class.

The current public series measures the Brand Recommendation class of discovery and does not yet contain qualified observations in the empty classes.

Historical Measurement Record

This is an evergreen benchmark URL. New measurements are added to the same report.

Evidence and Source Layer

Questions This Section Answers

• What does the source layer capture about AI recommendations for consumer banks?
• Does citing a source prove it caused the recommendation?

The benchmark is built from prompt-level observations that retain the query, the AI/search surface, the answer, the brand outcomes, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.

Scope Boundaries

• Does not measure market share.
• Does not measure attributable sales or revenue.
• Does not capture every possible AI response.
• Does not measure organic-search ranking.
• Does not measure social mention volume.
• Does not cover private or sponsored channels.
• Does not establish causality from a metric movement alone.

Top 10 Cited Domains

Questions This Section Answers

• Which domains were cited most often across AI platform responses?
• How concentrated are citations among the top domains versus the broader set?
• Which tracked banks' own domains appear in the top ten cited sources?

Across all AI platform responses in this measurement period, 5,855 citations were observed pointing to 1,534 unique domains.

Citations are broadly distributed: the top domain accounts for 8.2% of citations and the ten listed domains together account for roughly 28.8%, leaving the large majority spread across more than 1,500 other domains. Two tracked brands' own domains appear in the top ten, regions.com at rank two and hancockwhitney.com at rank four, with bankwithunited.com at rank ten. Search engines, review and comparison sites, and user-generated platforms are all present, and no single source type dominates the list.

About This Benchmark

The LLM Authority Index AI Visibility Market Discovery Index measures how brands appear, are recommended, and are positioned across major AI and search surfaces in a given vertical. Each monthly measurement applies the same qualification and scoring rules so that month-over-month movement reflects change in the information environment rather than change in method.

• AI Visibility Market Discovery Methodology
• AI Visibility Market Discovery Metric Definitions
• AI Visibility Market Discovery Research Standards
• Modeled AI Visibility Authority Value

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