CiteWorks Studio

How AI Search Is Recommending Mortgage: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
8 minutes read

Key Takeaways

  • Rocket Mortgage remained the recommendation leader at 61.6%, but its 11.1-point drop was the largest single-brand movement in August 2026.
  • All six tracked mortgage lenders lost coverage in August, pointing to a category-wide pullback rather than isolated gains by competitors.
  • New American Funding’s decline was driven mainly by weaker mention presence, while Freedom Mortgage saw the opposite pattern: more visibility but lower recommendation conversion.
  • The qualified benchmark fell from 678 to 625 observations, and all surviving observations were in the Brand Recommendation cluster, leaving pricing and lender comparison questions unanswered.

Executive Summary

The mortgage category recorded broad movement in the August 2026 benchmark. Rocket Mortgage remains the clear coverage leader, but its lead narrowed: after 72.7% valid recommendation coverage in July 2026 (493 of 678 qualified observations), it fell to 61.6% in August 2026 (385 of 625 qualified observations). That 11.1-point drop is the largest single-brand movement of the month, yet Rocket Mortgage still holds a 19.5-point lead over second-place Veterans United Home Loans.

New American Funding recorded the steepest relative decline of the month, dropping 7.8 points from 28.8% coverage in July 2026 to 21.0% in August 2026, driven largely by weaker raw presence, which fell 7.4 points from 30.8% to 23.4%. Freedom Mortgage also posted a coverage decline of 4.4 points to 13.1%, its lowest level in the tracked series.

The remaining three brands were stable. Veterans United Home Loans, PennyMac, and loanDepot all moved within normal month-to-month variation, though each drifted lower. The category-level picture is one of general retreat: all six tracked brands lost coverage share in August 2026, with Rocket Mortgage, New American Funding, and Freedom Mortgage accounting for the movement large enough to stand out from normal variation.

Each monthly run begins with 800 prompt-surface observations (510 unique questions in July 2026, 563 in August 2026) across the benchmark's defined AI/search surface universe. Of those, all 800 mentioned a tracked brand or competitor; 768 were relevant and 32 were irrelevant in July 2026, versus 764 relevant and 36 irrelevant in August 2026. The public metrics use the 678 July 2026 observations and 625 August 2026 observations that survive both qualification stages.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Aug 2026

  • Rocket Mortgage-11.1% · beyond normal variation
    Jul 202672.7%
    Aug 202661.6%
  • Veterans United Home Loans-4.8%
    Jul 202646.9%
    Aug 202642.1%
  • PennyMac-2.7%
    Jul 202629.3%
    Aug 202626.6%
  • loanDepot-0.6%
    Jul 202626.7%
    Aug 202626.1%
  • New American Funding-7.8% · beyond normal variation
    Jul 202628.8%
    Aug 202621.0%
  • Freedom Mortgage-4.4% · beyond normal variation
    Jul 202617.5%
    Aug 202613.1%

Key Findings

Signal

August 2026 finding

Coverage leader

Rocket Mortgage leads at 61.6%, down 11.1 points from 72.7% in July 2026

Largest gap

Rocket Mortgage leads Veterans United Home Loans by 19.5 points

Largest riser

None; all tracked brands lost coverage, with no significant risers

Largest decliner

New American Funding down 7.8 points to 21.0% from 28.8%

Significant decliners

Freedom Mortgage, New American Funding, and Rocket Mortgage all moved beyond normal variation

Surface breadth

6 of 6 AI surface families covered in both months

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

Research stage

July 2026

August 2026

What it represents

Source prompt-surface observations collected

800

800

Total prompts run across the surface universe

Unique questions

510

563

Distinct question formulations

Brand / competitor mentions

800

800

Prompts naming at least one tracked brand or competitor

Relevant prompts

768

764

On-topic and answerable

Irrelevant prompts

32

36

Filtered out as off-topic

Qualified benchmark observations

678

625

Survives both qualification stages; public denominator

Qualified surface breadth

6

6

AI surface families with at least one qualified observation

The following category-wide metrics summarize how the qualified benchmark shifted between the two months.

Benchmark-Level Metrics

Metric

July 2026

August 2026

Change

Qualified observations

678

625

Down 53

Companies tracked

6

6

No change

Recommendation-shaped answer share

50.1%

43.8%

Down 6.3 points

Valid recommendation shortlist share

73.9%

64.8%

Down 9.1 points

Category leader by coverage

Rocket Mortgage (72.7%)

Rocket Mortgage (61.6%)

Lead narrowed

AI Recommendation Trend

The category leader held its position but lost ground this month, and the distance between the leader and the pursuit narrowed rather than widened.

Coverage by Brand

Brand

July 2026

August 2026

Movement

August 2026 rank

Rocket Mortgage

72.7%

61.6%

Down 11.1 points

1st

Veterans United Home Loans

46.9%

42.1%

Down 4.8 points

2nd

PennyMac

29.3%

26.6%

Down 2.7 points

3rd

loanDepot

26.7%

26.1%

Down 0.6 points

4th

New American Funding

28.8%

21.0%

Down 7.8 points

5th

Freedom Mortgage

17.5%

13.1%

Down 4.4 points

6th

No brand overtook another this month. Rocket Mortgage, New American Funding, and Freedom Mortgage moved by more than normal month-to-month variation, while Veterans United Home Loans, PennyMac, and loanDepot moved within it, and no brand posted an increase.

What Changed This Month

Freedom Mortgage: Presence up, coverage down

Freedom Mortgage's coverage fell 4.4 points from 17.5% in July 2026 to 13.1% in August 2026, its lowest level in the tracked series. Its valid recommendation count dropped from 119 to 82 observations. At the same time, raw mention presence rose 5.8 points from 26.8% to 32.6%, while its top-three rate moved from 3.8% to 4.5% and its rank-one rate moved from 1.3% to 1.4%. The brand became more visible while being recommended less often.

Rocket Mortgage records 61.6% valid recommendation coverage in August 2026, while Freedom Mortgage stands at 13.1%. The more important issue is what that gap means for Freedom Mortgage's recommendation position: recommendation coverage is the only commercially readable signal in this vertical at present, yet Freedom Mortgage's higher mention presence did not translate into valid recommendation shortlists. The current benchmark does not establish why that gap exists, making the mechanism behind it the clearest area requiring attention.

Highest-priority diagnostic: What changed in how Freedom Mortgage is described in AI answers, and why did higher mention presence not convert into recommendation coverage?

Rocket Mortgage: Leadership intact, lead narrowed

Rocket Mortgage's valid recommendation coverage fell 11.1 points from 72.7% in July 2026 to 61.6% in August 2026, the largest single-brand movement of the month. It remained the category leader by a wide margin.

The decline was driven by a broad retreat rather than a single placement collapse. Its raw mention presence fell 2.5 points from 97.9% to 95.4%, a small drop. Its top-three recommendation rate slipped from 51.6% to 49.9%, and its rank-one rate from 31.1% to 29.9%.

The distinction worth noticing: Rocket Mortgage remains visible in nearly every qualified response, yet the share of responses where it was actually recommended dropped sharply. The data suggests a change in how often visibility converts into a recommendation rather than a decline in overall visibility; the benchmark cannot establish why that shift occurred.

Highest-priority diagnostic: Which prompts drove the 53-observation drop in qualified volume, and which competitor took the recommendation in the responses where Rocket Mortgage lost the top spot?

New American Funding: Steepest relative decline

New American Funding's coverage fell 7.8 points from 28.8% in July 2026 to 21.0% in August 2026, the sharpest proportionate retreat among all tracked brands.

The decline was rooted in weaker presence. Raw mention presence fell 7.4 points from 30.8% to 23.4%. Its top-three rate held roughly steady (6.9% to 6.6%), meaning that when the brand did appear, it was recommended at about the same rate.

The distinction: this was a presence problem, not a recommendation problem. The brand lost coverage because it was mentioned less often, not because it was recommended less favorably when it did appear.

Highest-priority diagnostic: Which questions, surfaces, or competitor contexts drove the 7.4-point presence decline, and which evidence sources ceased to be surfaced?

The stable tier: Veterans United Home Loans, PennyMac, loanDepot

Veterans United Home Loans fell 4.8 points from 46.9% to 42.1%, within normal month-to-month variation. Its presence held nearly steady (58.1% to 57.1%), its top-three rate was essentially flat (29.1% to 29.0%), and its rank-one rate slipped from 18.6% to 16.5%. The brand's recommendation counts fell from 318 to 263 but remained well ahead of the mid-tier.

PennyMac fell 2.7 points from 29.3% to 26.6%, within normal variation. Its top-three rate actually improved from 9.6% to 11.2%, and rank-one from 2.4% to 3.4%, suggesting its coverage decline came alongside a smaller qualified pool rather than weaker placement.

loanDepot was the most stable brand of the month, falling just 0.6 points from 26.7% to 26.1%. Its top-three rate slipped from 11.7% to 9.4%, but rank-one held at 1.6%, and presence rose 1.9 points to 38.2%.

Highest-priority diagnostic: For each stable brand, check whether the decline tracks the smaller qualified denominator or a genuine shift in recommendation pattern, and which surfaces changed the most.

Buyer-Intent Interpretation

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Direct recommendation of a specific lender

Which lender does the AI surface as the answer across discovery and consideration prompts?

Pricing & Value

Cost, rates, fees, and value comparisons

What pricing or fee attributes are associated with each lender?

Multi-Brand Comparison

Head-to-head comparisons between lenders

How does the AI position lenders against each other in comparison prompts?

In both July 2026 and August 2026, all qualified observations fell into the Brand Recommendation class. No Pricing & Value or Multi-Brand Comparison observations survived qualification in either month, meaning the public benchmark cannot yet answer questions about how AI systems characterize mortgage costs, rate competitiveness, or head-to-head lender trade-offs.

The practical implication: recommendation coverage is the only commercially readable signal in this vertical at present. A lender winning on coverage is winning the discovery and consideration conversation, but that tells readers nothing about how AI would represent their pricing or comparative positioning. Those questions require a separate, company-level investigation.

Brand Opportunity Summary

Brand

August 2026 coverage

Current signal

Highest-priority diagnostic

Rocket Mortgage

61.6%

Leader, but down 11.1 points with a shrinking qualified pool

Which competing lender takes the top recommendation when Rocket Mortgage loses it?

Veterans United Home Loans

42.1%

Stable, holding second with flat top-three rate

Which prompts sustain its strong second-place position?

PennyMac

26.6%

Stable, with improving top-three and rank-one rates

Can improved placement convert into coverage gains once the pool stabilizes?

loanDepot

26.1%

Most stable brand, flat coverage

Why did top-three rate slip while presence rose?

New American Funding

21.0%

Notable decliner, presence-driven drop

Which surfaces or evidence sources stopped surfacing the brand?

Freedom Mortgage

13.1%

Notable decliner, presence up but coverage down

Why does higher mention presence not translate into recommendations?

The benchmark identifies where attention is warranted based on recommendation coverage movement; a company-level analysis is needed to explain why those movements occurred.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations capturing the query, the AI surface, the recommendation outcome, the rank, sentiment, and citations where exposed. Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns to identify the specific drivers behind coverage changes. Source presence in a response is not automatically treated as proof of causation.

About This Benchmark

This report is part of the CiteWorks Studio AI Industry Market Discovery research program.

Report-Specific Interpretation Notes

  • Three brands posted coverage declines large enough to stand out from normal variation in August 2026, while no brand posted a comparable gain. The current month's qualified pool of 625 observations was smaller than July 2026's 678, which compresses absolute counts and makes month-over-month percentage movements carry more weight than they would with a larger denominator.
  • Movement identifies changes worth investigating; it does not establish cause. A coverage decline can stem from prompt mix, surface behavior, evidence sources, or a combination, none of which the public benchmark can isolate.
  • Small absolute counts matter: Freedom Mortgage's 82 valid recommendations and New American Funding's 131 are based on a qualified set of 625, so single digits of movement in count translate into visible percentage changes.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

The aggregate coverage percentage tells you which lenders AI systems recommend, but not why. Beneath the August 2026 numbers sit unanswered questions: which high-intent prompts are being won, which competitor takes the recommendation when a brand loses, what attributes AI systems associate with each lender, and which external sources shape those outputs.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. That analysis can distinguish a presence problem from a recommendation problem, and can trace each movement to the underlying driver.

Request an AI visibility audit

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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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