CiteWorks Studio

CrossCountry Mortgage AI Market Strategy Report - VA Loans Lenders

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • CrossCountry Mortgage increased valid recommendation coverage from 13.3% in August to 16.0% in September 2026, moving ahead of New American Funding.
  • The brand appears in 27.1% of qualified observations but converts only 16.0% into valid recommendation shortlists, showing a clear mention-to-recommendation gap.
  • Perplexity is the strongest platform for CrossCountry Mortgage, while ChatGPT and Copilot show the weakest recommendation coverage.
  • Top-three placement remains the main weakness, with a 6.95% top-three rate and just 1.8% rank-one placement versus much stronger results from Rocket Mortgage and Veterans United Home Loans.

Answer Capsule

CrossCountry Mortgage is a mid-tier challenger in AI-generated VA loan recommendations, holding 16.0% valid recommendation coverage in September 2026, up from 13.3% in August 2026. The brand is visible but under-recommended relative to its mention presence, appearing in 27.1% of qualified observations but converting only 16.0% into valid recommendation shortlists. Its clearest win is a 2.7-point coverage gain that moved it ahead of New American Funding, while its clearest weakness is a rank-one rate of just 1.8% across 676 qualified observations. The biggest opportunity lies in converting its broad mention presence into top-three placements, where it currently captures only 6.95% of observations compared with Rocket Mortgage's 45.7%.

Who This Report Is For

This report is written for CrossCountry Mortgage's marketing, brand strategy, and digital leadership teams, as well as category analysts tracking how AI systems shape lender discovery in the VA loans market.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

CrossCountry Mortgage

Category / market studied

VA Loans Lenders

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1

AI observations analyzed

676

Competitors tracked

9

Executive Summary

Questions This Section Answers

  • How large is the gap between CrossCountry Mortgage's AI mention presence and its valid recommendation coverage?
  • Which competitors did CrossCountry Mortgage move ahead of, and what drove that shift?
  • Where does CrossCountry Mortgage stand on rank-one recommendations compared with Rocket Mortgage and Veterans United?

CrossCountry Mortgage occupies a visible but under-recommended position in AI-generated VA loan recommendations. The brand appeared in 183 of 676 qualified observations in September 2026, a raw mention presence rate of 27.1%, yet it converted only 108 of those observations into valid recommendation shortlists, a coverage rate of 16.0%. This gap between presence and recommendation conversion defines the brand's current AI visibility challenge.

The benchmark shows CrossCountry Mortgage improved its valid recommendation coverage from 13.3% in August 2026 to 16.0% in September 2026, a gain of 2.7 points that remained within normal month-to-month variation. This improvement moved the brand ahead of New American Funding, which declined significantly during the same period. The shift in relative position reflects New American Funding's 5.9-point drop more than outsized gains by CrossCountry Mortgage, but the brand now leads that competitor by 3.4 points where it trailed by 5.2 points in August.

Sentiment framing for CrossCountry Mortgage is positive but lower than most competitors. The brand recorded 128 positive mentions, 55 neutral mentions, and zero negative mentions, producing a net sentiment score of 0.6995. This places it below the category average and well below brands like Movement Mortgage (0.875) and New American Funding (0.867), suggesting that while AI systems do not frame CrossCountry Mortgage negatively, they also do not describe it with the same enthusiasm as some competitors.

The strongest platform signal for CrossCountry Mortgage is Perplexity, where the brand achieved a 35.82% valid recommendation coverage rate and a 52.24% positive visibility rate. Gemini also showed relatively strong performance with a 21.98% coverage rate. However, the brand's performance on ChatGPT was notably weaker, with only 6.17% coverage despite ChatGPT representing the second-largest platform opportunity by observation volume.

The clearest gap appears in rank-one recommendations. CrossCountry Mortgage achieved first-position placement in only 12 of 676 observations, a rank-one rate of 1.8%. By comparison, Rocket Mortgage captured rank-one placement in 24.0% of observations and Veterans United Home Loans in 16.0%. This placement gap means that even when CrossCountry Mortgage enters the recommendation shortlist, it rarely leads it.

The brand's top-three recommendation rate of 6.95% represents the most immediate opportunity for improvement. While CrossCountry Mortgage appears in valid recommendation shortlists at a 16.0% rate, it reaches the top three in only 6.95% of observations, indicating that AI systems frequently place it in lower positions within longer recommendation lists.

What CrossCountry Mortgage Is Winning

Questions This Section Answers

  • How did CrossCountry Mortgage's position relative to New American Funding change between August and September 2026?
  • Which AI platform produces the strongest recommendation coverage for CrossCountry Mortgage?
  • What does CrossCountry Mortgage's zero-negative-mention profile indicate about how AI systems frame the brand?

CrossCountry Mortgage's clearest win in September 2026 is its coverage improvement relative to New American Funding. The brand moved from trailing New American Funding by 5.2 points in August to leading by 3.4 points in September, a relative position shift of 8.6 points. While this shift primarily reflects New American Funding's decline, CrossCountry Mortgage's own 2.7-point coverage gain contributed to the change.

The brand's strongest platform performance came on Perplexity, where it achieved a 35.82% valid recommendation coverage rate and appeared in 62.69% of observations. This coverage rate exceeds the brand's overall performance and suggests that Perplexity's retrieval patterns favor CrossCountry Mortgage's public evidence layer more than other platforms do.

CrossCountry Mortgage also maintains a clean sentiment profile with zero negative mentions across 676 qualified observations. While its net sentiment score of 0.6995 is lower than several competitors, the absence of negative framing means AI systems do not actively discourage consideration of the brand.

The brand achieved 12 rank-one recommendations in September 2026, up from its August performance, indicating some improvement in first-position placement. These rank-one placements represent the highest-value recommendation outcomes and suggest that when CrossCountry Mortgage does lead a recommendation, it does so on prompts where its evidence layer is strongest.

Where CrossCountry Mortgage Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does CrossCountry Mortgage convert so few of its AI mentions into top-three recommendations?
  • Which platforms show the weakest valid recommendation coverage for CrossCountry Mortgage?
  • How does CrossCountry Mortgage's rank-one rate compare with the category leaders?

CrossCountry Mortgage's most significant gap is the disconnect between its mention presence and its recommendation conversion. The brand appeared in 27.1% of qualified observations but converted only 16.0% into valid recommendation shortlists. This 11.1-point gap between presence and recommendation indicates that AI systems frequently mention CrossCountry Mortgage as context, comparison, or background without including it in the actionable recommendation set.

The rank-one placement gap is more severe. CrossCountry Mortgage achieved first-position recommendations in only 1.8% of observations, compared with Rocket Mortgage's 24.0% and Veterans United Home Loans' 16.0%. Even Navy Federal Credit Union, which has a lower top-three rate than its coverage would suggest, achieved rank-one placement in 6.2% of observations. This means that when buyers ask AI systems for a single best VA lender recommendation, CrossCountry Mortgage is rarely the answer.

The brand's top-three recommendation rate of 6.95% reveals that even when CrossCountry Mortgage enters the recommendation set, it typically appears in positions four through ten rather than in the top three. This placement pattern matters commercially because AI systems often present only three to five options in their primary recommendation, with additional options relegated to secondary lists or omitted entirely.

ChatGPT represents a specific platform gap. CrossCountry Mortgage achieved only 6.17% valid recommendation coverage on ChatGPT despite the platform representing 114,255 in total monthly AI opportunity value, the second-largest platform opportunity after Google AI Mode. The brand's ChatGPT coverage rate is less than one-third of its Perplexity coverage rate, suggesting that ChatGPT's retrieval and synthesis patterns do not favor CrossCountry Mortgage's current evidence layer.

The brand also shows weakness on Copilot, where it achieved only 11.36% valid recommendation coverage. While Copilot represents a smaller total opportunity, the platform's integration into Microsoft's enterprise ecosystem means it may reach business buyers and relocation professionals who influence VA loan decisions.

Biggest Opportunity

Questions This Section Answers

  • What would converting CrossCountry Mortgage's mention presence into top-three placements require?
  • Which evidence layer does CrossCountry Mortgage need to strengthen to improve recommendations on ChatGPT, Copilot, and Google AI surfaces?

CrossCountry Mortgage's biggest opportunity is converting its existing mention presence into top-three recommendation placements. The brand already appears in 27.1% of qualified observations, meaning AI systems have sufficient awareness of CrossCountry Mortgage to include it in responses. The gap is not visibility but recommendation conversion and placement.

This opportunity is concentrated in the Brand Recommendation cluster, which represents 100% of qualified observations in the current benchmark. Within this cluster, prompts asking for the best VA lenders, top mortgage lenders, or recommended VA loan providers represent the highest-value targets. CrossCountry Mortgage's current top-three rate of 6.95% on these prompts suggests substantial room for improvement.

The path to improvement involves strengthening the public evidence layer that AI systems retrieve when forming recommendations. This includes ensuring that CrossCountry Mortgage's VA loan expertise, customer outcomes, and competitive differentiators are clearly articulated in sources that AI systems cite. The brand's relatively strong Perplexity performance suggests that some platforms already find sufficient evidence to recommend CrossCountry Mortgage; the opportunity is extending that evidence pattern to ChatGPT, Copilot, and Google AI surfaces.

Competitive Landscape

Questions This Section Answers

  • Where does CrossCountry Mortgage rank among the ten tracked brands on top-three and rank-one rates?
  • How does CrossCountry Mortgage's average recommended rank compare with competitors like loanDepot and Freedom Mortgage?
  • Why is CrossCountry Mortgage's sentiment score among the lowest in the competitive set despite having zero negative mentions?

Rocket Mortgage holds dominant recommendation power in the VA loans category, with Veterans United Home Loans and Navy Federal Credit Union forming a clear second tier. CrossCountry Mortgage sits in the middle of the competitive set, ahead of New American Funding, Freedom Mortgage, and Rate but well behind the category leaders.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Rocket Mortgage

45.71%

23.96%

2.23

0.8103

Navy Federal Credit Union

30.62%

6.21%

3.04

0.8411

Veterans United Home Loans

27.66%

15.98%

2.51

0.8005

loanDepot

7.40%

0.59%

4.10

0.7603

CrossCountry Mortgage

6.95%

1.78%

3.38

0.6995

Freedom Mortgage

2.96%

0.44%

4.19

0.6214

New American Funding

2.66%

0.15%

4.28

0.8673

Rate

1.33%

0.15%

3.96

0.7959

Fairway Independent Mortgage

0.89%

0.15%

5.25

0.6538

Movement Mortgage

0.59%

0.00%

4.46

0.8750

Average recommended rank covers rank-eligible recommendations only.

CrossCountry Mortgage ranks fifth in top-three rate and fifth in rank-one rate among the ten tracked brands. Its average recommended rank of 3.38 is better than loanDepot, Freedom Mortgage, and New American Funding, indicating that when the brand does receive rank credit, it tends to place higher than those competitors. However, its sentiment score of 0.6995 is the second-lowest in the competitive set, ahead of only Freedom Mortgage.

Prompt Evidence

Questions This Section Answers

  • On which prompt-platform combinations does CrossCountry Mortgage receive a valid recommendation versus a neutral mention?
  • What does the ChatGPT result for "Who are the top mortgage lenders?" reveal about CrossCountry Mortgage's placement outside the primary recommendation set?

ChatGPT / Brand Recommendation Prompt: "Who are the top mortgage lenders?" Result: CrossCountry Mortgage appeared in the response but was not included in the primary recommendation set, receiving neutral framing as a comparison option.

Perplexity / Brand Recommendation Prompt: "best VA lender" Result: CrossCountry Mortgage achieved a valid recommendation with positive framing, appearing in the recommendation shortlist on a platform where the brand shows its strongest coverage.

Google AI Mode / Brand Recommendation Prompt: "va mortgage rates" Result: CrossCountry Mortgage was mentioned in the response but placed outside the top three recommendations, consistent with the brand's 6.95% top-three rate on this platform.

Copilot / Brand Recommendation Prompt: "mortgage loan companies" Result: CrossCountry Mortgage received a valid recommendation but with neutral framing, reflecting the brand's lower sentiment profile on this platform.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map exactly which prompts CrossCountry Mortgage wins, loses, and appears in without recommendation credit across all six tracked platforms, establishing a baseline for improvement.

Phase 2: Recommendation Readiness Plan Identify the specific evidence gaps that prevent AI systems from converting CrossCountry Mortgage mentions into top-three recommendations, prioritizing ChatGPT and Copilot where the brand underperforms.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly addresses the high-intent prompts where CrossCountry Mortgage currently appears but is not recommended, ensuring the brand's VA loan expertise is clearly articulated for AI retrieval.

Phase 4: Citation / Authority Layer Development Strengthen the third-party sources that AI systems cite when forming VA lender recommendations, focusing on the source types that appear most frequently in competitor recommendation contexts.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor CrossCountry Mortgage's coverage, top-three rate, and rank-one rate monthly to measure progress and identify emerging competitive threats or platform shifts.

Why This Matters

AI presence alone does not drive buyer consideration. CrossCountry Mortgage appears in more than a quarter of AI responses about VA lenders, but it converts that visibility into actionable recommendations at a rate well below the category leaders. For buyers who ask AI systems for lender recommendations, CrossCountry Mortgage is frequently mentioned but rarely chosen.

The next move is targeted correction of the prompt, page, and citation layers that determine whether AI systems recommend CrossCountry Mortgage or merely reference it. The brand's relatively strong Perplexity performance demonstrates that some platforms already find sufficient evidence to recommend CrossCountry Mortgage; extending that evidence pattern to ChatGPT, Copilot, and Google AI surfaces represents the clearest path to improving recommendation outcomes.

Core Metrics

Metric

Value

Mentions

183

Valid recommendations

108

Top 3 recommendation count

47

Rank #1 recommendation count

12

Average recommended rank

3.38

Positive mentions

128

Neutral mentions

55

Negative mentions

0

Raw mention presence rate

27.07%

Valid recommendation coverage

15.98%

Top 3 recommendation rate

6.95%

Rank #1 recommendation rate

1.78%

Net sentiment score

0.6995

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

CrossCountry Mortgage's sentiment score for September 2026 is 0.6995, calculated from 128 positive mentions, 55 neutral mentions, and zero negative mentions across 183 total mentions.

This score matters because unclassified mention counts are misleading. A brand that appears frequently in AI responses but receives neutral or cautionary framing is not in the same position as a brand that receives enthusiastic recommendations. 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 outcomes.

Counting all mentions as wins is bad measurement. CrossCountry Mortgage's 183 mentions include 55 neutral references where the brand appeared as context, comparison, or background rather than as a recommended option. These neutral mentions do not carry the same commercial weight as positive recommendations. Classified sentiment is required before interpreting AI visibility, and CrossCountry Mortgage's relatively low sentiment score suggests that even when the brand is mentioned, AI systems do not describe it with the same enthusiasm as they do several competitors.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

14

7

7

0

0.5000

Present, but not recommendation-led

Copilot

27

14

13

0

0.5185

Present as context, not recommendation

Gemini

24

20

4

0

0.8333

Strongest public recommendation signal

Perplexity

42

35

7

0

0.8333

Strongest public recommendation signal

Google AI Overviews

46

29

17

0

0.6304

Present, but not recommendation-led

Google AI Mode

30

23

7

0

0.7667

Positive, but sample too small

Methodology

  1. This report analyzes CrossCountry Mortgage's AI recommendation performance within the VA Loans Lenders category for September 2026, using data from the LLM Authority Index AI Market Discovery benchmark.
  2. The reporting window covers September 2026, with month-over-month comparisons to August 2026 where available.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The benchmark collected 800 prompt-surface observations in September 2026, of which 676 qualified for inclusion in the public analysis set after relevance and qualification filtering.
  5. The competitor universe includes ten tracked brands: CrossCountry Mortgage, Fairway Independent Mortgage, Freedom Mortgage, loanDepot, Movement Mortgage, Navy Federal Credit Union, New American Funding, Rate, Rocket Mortgage, and Veterans United Home Loans.
  6. The public benchmark currently contains qualified observations in one buyer-intent cluster: Brand Recommendation. The Pricing & Value and Multi-Brand Comparison clusters registered zero qualified observations in both August and September 2026.
  7. Stage 0 extraction captured prompt-level observations including the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
  8. A mention is defined as any appearance of CrossCountry Mortgage in an AI response, regardless of whether the brand was recommended.
  9. A valid recommendation is defined as an observation where CrossCountry Mortgage appeared in a recommendation shortlist with positive or neutral framing and received rank credit between positions one and ten.
  10. Brand-level percentages use the 676 qualified observations as the public denominator, not the raw collection of 800 prompt-surface observations.
  11. Unique question count for September 2026 was 542 after de-duplication. The public version does not expose the exact prompt count per cluster.
  12. Month-over-month movement identifies changes worth investigating; it does not by itself establish causation. The benchmark cannot determine why CrossCountry Mortgage's coverage improved or why competitors' positions shifted.

See Where AI Is Recommending Your Brand

The public benchmark shows where CrossCountry Mortgage stands in AI-generated VA loan recommendations. A company-level AI visibility audit maps the specific prompts, platforms, and competitor patterns that determine whether your brand is mentioned, recommended, or overlooked. Request an AI visibility audit to see exactly how AI systems describe CrossCountry Mortgage and what would change their recommendations.

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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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