Bank of America Corp. AI Visibility Market Strategy Report - Mortgage Refinance Lenders

Answer Capsule

Bank of America Corp. holds 35.5% valid recommendation coverage in the October 2026 LLM Authority Index benchmark for mortgage refinance lenders, ranking third of ten tracked brands. The bank has strong raw presence at 44.6% and a healthy net sentiment score of 0.8093, but converts that presence into top-three recommendations only 18.7% of the time and rank-one recommendations just 3.0% of the time. The clearest win is a 35.5-point coverage gain against the July 2026 baseline under its current tracked name. The clearest weakness is a wide gap between being mentioned and being chosen first. The biggest opportunity sits in converting its substantial neutral mention volume into recommendation-stage visibility.

Who This Report Is For

This report is for Bank of America Corp. marketing, brand, and digital strategy leaders who need to understand how AI systems recommend mortgage refinance lenders and where the bank stands in AI-led discovery.

Report Card

Executive Summary

Bank of America Corp. is visible in AI-generated mortgage refinance recommendations but is not yet a first-choice brand. The bank recorded 236 mentions across 529 qualified observations, a raw mention presence rate of 44.6%, yet it earned only 188 valid recommendations and appeared in the top three in 18.7% of observations. Its rank-one rate of 3.0% means it was the first or primary recommendation in just 16 of 529 qualified observations.

The presence-to-recommendation gap is the central finding. Bank of America Corp. appears in nearly half of all qualified AI responses about mortgage refinance, but it converts to a valid recommendation shortlist in roughly one-third of those appearances. The gap between raw presence and recommendation conversion is the clearest signal in the data.

Sentiment is not the problem. The bank's net sentiment score of 0.8093 reflects 191 positive mentions, 45 neutral mentions, and zero negative mentions. AI systems frame Bank of America Corp. positively when they mention it. The issue is placement, not perception.

The strongest platform signal comes from Perplexity, where Bank of America Corp. achieved a 33.9% top-three rate and a 15.25% rank-one rate, its best rank-one performance across all six platforms. Google AI Overviews also delivered solid coverage at 34.92% valid recommendation coverage with a 14.29% top-three rate. ChatGPT showed the highest single-platform coverage at 36.36% with a 25.76% top-three rate.

The weakest platform signal is Copilot, where the bank achieved only an 8.54% top-three rate despite a 34.15% presence rate. Gemini showed a similar pattern with a 18.29% top-three rate against a 47.56% presence rate. On both platforms, Bank of America Corp. is discussed frequently but rarely placed in the top three.

The clearest cluster gap is structural. All 529 qualified observations fell into the Brand Recommendation cluster. No observations were captured in Pricing and Value or Multi-Brand Comparison clusters, meaning the benchmark cannot yet measure how Bank of America Corp. performs when AI systems are asked about refinance rates, fees, or head-to-head lender comparisons.

What Bank of America Corp. Is Winning

Questions This Section Answers

• Where does Bank of America Corp. rank in the October 2026 mortgage refinance benchmark?
• Which platform gives the bank its strongest recommendation placement and rank-one finishes?
• What does the bank's net sentiment and zero negative mentions say about how AI systems frame it?

Bank of America Corp. holds the third position in the October 2026 benchmark with 35.5% valid recommendation coverage, behind Rocket Mortgage at 79.2% and loanDepot at 49.3%. The bank gained 35.5 points against the July 2026 baseline under its current tracked name and rose 7.6 points from September 2026, a gain that exceeded normal month-to-month variation.

The bank's net sentiment score of 0.8093 is the third-highest among tracked brands, behind Better.com at 0.9737 and New American Funding at 0.91. Zero negative mentions were recorded across 236 total mentions. AI systems frame Bank of America Corp. positively or neutrally in every observed instance.

Perplexity is the bank's strongest platform for recommendation placement. Bank of America Corp. achieved a 33.9% top-three rate and a 15.25% rank-one rate on Perplexity, with 9 first-place finishes out of 59 platform observations. This rank-one rate is the second-highest single-platform rank-one performance for the bank across all tracked surfaces.

Google AI Overviews delivered the bank's highest absolute recommendation volume. Bank of America Corp. earned 44 valid recommendations from 126 AI Overviews observations, a 34.92% coverage rate, with 18 top-three placements and 3 rank-one finishes.

The bank's 44.6% raw mention presence rate is the third-highest in the tracked set, behind Rocket Mortgage at 98.1% and loanDepot at 56.7%. Bank of America Corp. is consistently present in AI-generated mortgage refinance responses.

Where Bank of America Corp. Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How wide is the gap between Bank of America Corp.'s raw presence and its valid recommendation coverage?
• On which platforms is the bank mentioned frequently but placed in the top three least often?
• What do the 45 neutral mentions signal about unconverted visibility?

The primary gap is recommendation conversion. Bank of America Corp. appears in 44.6% of qualified observations but earns a valid recommendation in only 35.5% of them. This means roughly one in five appearances does not convert to a recommendation shortlist position. By comparison, Rocket Mortgage converts 98.1% presence into 79.2% coverage, and loanDepot converts 56.7% presence into 49.3% coverage.

The rank-one gap is more severe. Bank of America Corp. achieved a 3.0% rank-one rate, meaning it was the first recommendation in only 16 of 529 qualified observations. Rocket Mortgage achieved a 49.0% rank-one rate, and even United Wholesale Mortgage, which holds lower overall coverage at 18.3%, achieved a 4.5% rank-one rate. Bank of America Corp. is being recommended, but rarely as the primary option.

Platform-level displacement is most visible on Copilot and Gemini. On Copilot, Bank of America Corp. recorded a 34.15% presence rate but only an 8.54% top-three rate, a conversion gap of more than 25 percentage points. On Gemini, the bank recorded a 47.56% presence rate but only an 18.29% top-three rate. These platforms mention the bank frequently but place it in the top three far less often than the category leader.

The neutral mention volume is a diagnostic signal. Bank of America Corp. recorded 45 neutral mentions against 191 positive mentions. While the positive-to-neutral ratio is favorable, the 45 neutral mentions represent instances where AI systems referenced the bank without a clear recommendation signal. These neutral mentions are not counted as valid recommendations and represent unconverted visibility.

The absence of Pricing and Value and Multi-Brand Comparison clusters limits the benchmark's ability to measure how Bank of America Corp. performs when buyers ask about refinance rates or direct lender comparisons. These are high-intent prompt types where recommendation outcomes may differ from the Brand Recommendation cluster.

Biggest Opportunity

Questions This Section Answers

• How much could converting neutral mentions into top-three placements raise the bank's top-three rate?
• Why is Copilot the most acute platform-specific opportunity for Bank of America Corp.?
• Which prompt types offer the clearest path to influencing buyer shortlists?

The clearest opportunity for Bank of America Corp. is converting its substantial neutral mention volume and mid-tier presence into top-three recommendation placements, particularly on Copilot and Gemini where the presence-to-placement gap is widest.

Bank of America Corp. recorded 45 neutral mentions in October 2026. These are instances where AI systems referenced the bank without a clear positive recommendation signal. If even half of those neutral mentions converted to positive recommendations with top-three placement, the bank's top-three rate would rise from 18.7% to approximately 22.9%, moving it closer to loanDepot's 23.8% top-three rate.

The platform-specific opportunity is most acute on Copilot. Bank of America Corp. achieved a 34.15% presence rate on Copilot but only an 8.54% top-three rate. The bank is being discussed on Copilot but not recommended in the top three. Improving recommendation placement on Copilot represents a direct path to closing the gap with competitors who convert presence more efficiently.

The prompt-level opportunity sits in the Brand Recommendation cluster, where all qualified observations were captured. The bank's strongest prompt examples include queries about top mortgage lenders and best mortgage rates. These are high-intent prompts where top-three placement directly influences buyer shortlists.

Competitive Landscape

Questions This Section Answers

• Who leads the mortgage refinance category by top-three and rank-one recommendation rates?
• Where does Bank of America Corp. sit relative to Rocket Mortgage, loanDepot, and Better.com?
• What does the bank's average recommended rank say about where it typically lands when recommended?

Rocket Mortgage holds dominant recommendation power in the mortgage refinance category with a 69.94% top-three rate and a 48.96% rank-one rate. loanDepot is the strongest challenger at a 23.82% top-three rate. Bank of America Corp. sits third at an 18.71% top-three rate, just behind Better.com and ahead of United Wholesale Mortgage.

Average recommended rank covers rank-eligible recommendations only.

Bank of America Corp. ranks third by top-three rate, just behind Better.com and well ahead of United Wholesale Mortgage. The bank's rank-one rate of 3.02% is third-highest in the tracked set, behind Rocket Mortgage and United Wholesale Mortgage. Its average recommended rank of 3.59 places it mid-pack, suggesting that when the bank does earn a recommendation, it typically lands in the third or fourth position rather than first or second.

Prompt Evidence

ChatGPT / Brand Recommendation Prompt: "What are the top 5 mortgage lenders in the US?" Result: Bank of America Corp. appeared in the response with a top-three placement rate of 25.76% on ChatGPT, contributing to its 36.36% valid recommendation coverage on that platform.

Copilot / Brand Recommendation Prompt: "Who is the best mortgage lender right now?" Result: Bank of America Corp. was mentioned in 34.15% of Copilot observations but achieved only an 8.54% top-three rate, indicating presence without strong recommendation placement.

Perplexity / Brand Recommendation Prompt: "Who are the big 5 mortgage lenders?" Result: Bank of America Corp. achieved its strongest rank-one performance on Perplexity with a 15.25% rank-one rate and a 33.9% top-three rate, with 9 first-place finishes.

Google AI Overviews / Brand Recommendation Prompt: "Who is giving the best mortgage rates at the moment?" Result: Bank of America Corp. earned 44 valid recommendations from 126 AI Overviews observations, a 34.92% coverage rate, with 18 top-three placements.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map Bank of America Corp.'s prompt-level recommendation patterns across all six AI platforms, identifying which specific prompts drive top-three placements and which produce neutral mentions without recommendation conversion.

Phase 2: Recommendation Readiness Plan Prioritize the Copilot and Gemini platforms where the presence-to-placement gap is widest, and develop a plan to convert neutral mentions into top-three recommendation positions.

Phase 3: Owned Answer Layer Buildout Strengthen Bank of America Corp.'s owned content to provide AI systems with clearer, more structured recommendation signals for mortgage refinance queries, particularly for prompts about top lenders and best rates.

Phase 4: Citation and Authority Layer Development Expand the bank's presence in the review and comparison sites that AI systems cite most frequently for mortgage refinance recommendations, including bankrate.com, nerdwallet.com, and lendingtree.com.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Bank of America Corp.'s top-three rate, rank-one rate, and neutral mention volume month over month to measure whether recommendation conversion improves.

Why This Matters

Questions This Section Answers

• Why does a neutral mention fail to influence the buyer shortlist the way a top-three placement does?
• What layers of the AI recommendation system does Bank of America Corp. need to correct?
• What is the strategic risk of the gap between the bank's 44.6% presence rate and its 18.7% top-three rate?

AI systems are becoming a primary discovery channel for mortgage refinance buyers. When a buyer asks ChatGPT, Copilot, or Perplexity for the best mortgage lender, the response shapes their shortlist before they visit any lender website. Bank of America Corp. is present in nearly half of those responses, but it is rarely the first recommendation.

Presence alone does not win the buyer. A neutral mention that references the bank without recommending it does not influence the shortlist. A top-three placement does. The gap between Bank of America Corp.'s 44.6% presence rate and its 18.7% top-three rate represents buyers who saw the bank mentioned but did not see it recommended.

The next move is targeted correction of the prompt, page, and citation layers that shape AI recommendations. The bank needs clearer recommendation signals in the content AI systems retrieve, stronger presence in the comparison sites AI systems cite, and a platform-specific strategy for Copilot and Gemini where the placement gap is widest.

Core Metrics

Sentiment Score

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

For Bank of America Corp. in October 2026: (191 × 1 + 45 × 0 + 0 × -1) / 236 = 0.8093.

This score matters because unclassified mention counts are misleading. A brand with 236 mentions could appear strong on a raw volume basis, but if those mentions are neutral references rather than positive recommendations, the brand is not winning the buyer shortlist. Bank of America Corp.'s 45 neutral mentions represent 19.1% of its total mentions. These are instances where AI systems referenced the bank without a clear recommendation signal.

Share of voice is a diagnostic metric, not a business KPI. 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. Classified sentiment is required before interpreting AI visibility. Bank of America Corp.'s zero negative mentions and 80.9% positive mention share indicate that AI systems frame the bank favorably when they mention it. The opportunity is converting neutral mentions to positive recommendations.

Sentiment by Platform

Methodology

1. Report orientation: This is a benchmark-based analysis of Bank of America Corp.'s AI visibility and recommendation performance in the mortgage refinance lender category. It is not a client result and does not imply that CiteWorks Studio caused any benchmark outcome.
2. Reporting window: October 2026, with comparison to the July 2026 baseline and intermediate August and September 2026 measurements.
3. Platforms tracked: Six AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six registered at least one qualified observation in October 2026.
4. Observation count: The October 2026 benchmark began with 800 prompt-surface observations and 584 unique questions. After qualification, 529 observations were retained as the public denominator for all brand-level metrics.
5. Competitor universe: Ten brands were tracked: Bank of America Corp., Better.com, Chase Credit Journey, loanDepot, New American Funding, PennyMac, Rate, Rocket Mortgage, United Wholesale Mortgage, and Wells Fargo & Co.
6. Public clusters used: All 529 qualified observations fell into the Brand Recommendation cluster. No observations were captured in Pricing and Value or Multi-Brand Comparison clusters.
7. Stage 0 role: Stage 0 extraction retained the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
8. Definition of a mention: A mention is recorded when Bank of America Corp. appears in an AI response to a qualified prompt, regardless of whether the brand is recommended.
9. Definition of a valid recommendation: A valid recommendation is recorded when Bank of America Corp. appears in a recommendation shortlist with positive sentiment and a rank position of 1 through 10. Neutral, negative, or listed-only mentions are not counted as valid recommendations.
10. Ranking interpretation: Top-three rate measures how often the brand appears among the top three recommended options. Rank-one rate measures how often the brand is the first or primary recommendation. Average recommended rank covers rank-eligible recommendations only.
11. Entity-name note: Bank of America Corp. entered the tracked set under its current corporate name in September 2026. The July and August 2026 measurements tracked the lender under the name Bank of America, which recorded zero coverage in September and October 2026. The benchmark cannot distinguish whether this reflects a change in AI-generated naming conventions or a change in which entity names the benchmark tracked.
12. Limitations: This benchmark does not measure market share, sales attribution, organic-search ranking performance, social media mention volume, private or sponsored AI channels, or causality from a metric movement alone. The qualified observation set is the denominator for all brand-level percentages.

See How AI Is Recommending Your Brand

Bank of America Corp. holds strong presence in AI-generated mortgage refinance recommendations, but presence alone does not win the buyer shortlist. A company-level AI visibility audit maps the prompt, platform, competitor, and citation patterns that shape AI recommendations into a prioritized strategy for improving recommendation-stage visibility.