CiteWorks Studio

Freedom Mortgage AI Market Strategy Report - Mortgage

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Freedom Mortgage had the lowest valid recommendation coverage in the benchmark at 14.8%, despite appearing in 30.5% of qualified AI responses.
  • The main issue is conversion: AI systems mention the brand often, but rarely turn those mentions into recommendations or top placements.
  • Google AI Overviews and Google AI Mode showed the strongest results, while ChatGPT and Perplexity exposed the biggest recommendation gaps.
  • With zero negative mentions and 94 neutral mentions, the clearest opportunity is improving the evidence and citation layer that supports recommendation decisions.

Answer Capsule

Freedom Mortgage holds the lowest valid recommendation coverage of all six tracked mortgage lenders in the September 2026 LLM Authority Index benchmark, at 14.8%. The brand appears in 30.5% of qualified AI responses but converts only a minority of those appearances into actual recommendations, the weakest presence-to-recommendation conversion rate in the category. Its top-three rate of 4.5% and rank-one rate of 0.8% confirm that the gap extends beyond coverage into placement. The clearest opportunity lies in converting the brand's existing neutral and positive mentions into valid recommendations across the AI surfaces where it already has a foothold.

Who This Report Is For

This report is for mortgage marketing, digital strategy, and growth leaders at Freedom Mortgage who need to understand how AI systems currently describe, mention, and recommend the lender during buyer discovery.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Freedom Mortgage

Category / market studied

Mortgage

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1

AI observations analyzed

642

Competitors tracked

6

Executive Summary

Freedom Mortgage recorded valid recommendation coverage of 14.8% in the September 2026 benchmark, the lowest of all six tracked mortgage lenders. The brand was recommended in 95 of 642 qualified observations, against a presence rate of 30.5% meaning it appeared in 196 observations but converted only a fraction of those appearances into a valid recommendation. This presence-to-coverage conversion rate trails every other tracked brand in the category.

The benchmark classified Freedom Mortgage as stable in September 2026, with coverage moving from 17.5% in July 2026 to 13.1% in August 2026, then up 1.7 points to 14.8% in September 2026. The net decline of 2.7 points since the July baseline sits within normal month-to-month variation, but the brand's position at the bottom of the category is not a monthly artifact. Freedom Mortgage has ranked sixth of six tracked lenders on coverage in all three measured months.

Sentiment is not the constraint. Freedom Mortgage recorded 102 positive mentions, 94 neutral mentions, and zero negative mentions in September 2026, producing a net sentiment score of 0.52. The brand is not being framed negatively by AI systems. The problem is that positive and neutral mentions are not converting into recommendations at a competitive rate.

The strongest platform signal is Google AI Mode, where Freedom Mortgage recorded its highest valid recommendation coverage at 16.3%, and Google AI Overviews, where coverage reached 20.4%. The weakest platform signal is Perplexity, where the brand recorded just 1.5% coverage, and ChatGPT, where coverage fell to 2.7%. These platform-level differences point to an inconsistent public evidence layer rather than a uniform brand perception problem.

The clearest gap is competitive displacement. Rocket Mortgage leads the category at 62.8% coverage, a 48.0-point gap over Freedom Mortgage. Veterans United Home Loans holds second at 42.2%, and even New American Funding, which posted the steepest decline in the category, sits above Freedom Mortgage at 17.0%. The evidence suggests Freedom Mortgage is present in AI responses but is not being selected when AI systems build their recommended lender shortlists.

What Freedom Mortgage Is Winning

Questions This Section Answers

  • Where does Freedom Mortgage show relative strength in AI recommendations despite its overall coverage position?
  • What does the brand's sentiment profile suggest about how AI systems frame it?

Freedom Mortgage recorded zero negative mentions across all 642 qualified observations in September 2026. The brand's net sentiment score of 0.52 is positive, and its framing quality is not dragging down its recommendation position. When AI systems mention Freedom Mortgage, they do so without cautionary or negative language.

Google AI Overviews is a meaningful pocket of relative strength. Freedom Mortgage recorded 20.4% valid recommendation coverage on that platform, its highest of any tracked surface, with a top-three rate of 8.4% and a rank-one rate of 1.8%. This suggests the brand has some source footprint that Google AI Overviews can retrieve and synthesize into recommendations.

Google AI Mode also shows a workable base, with 16.3% coverage and a presence rate of 35.9%. The brand's average recommended rank of 3.86 across all platforms indicates that when Freedom Mortgage is recommended, it tends to appear within the first four positions rather than being buried deep in a list.

These are narrow wins. The benchmark shows no platform where Freedom Mortgage holds recommendation strength comparable to the category leaders, and the brand's overall coverage position remains the weakest in the tracked set.

Where Freedom Mortgage Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • What is the core conversion gap limiting Freedom Mortgage's recommendation coverage?
  • Which AI platforms show the starkest visibility and placement gaps for the brand?

Freedom Mortgage's core problem is a conversion gap. The brand appears in 30.5% of qualified responses but is recommended in only 14.8%, meaning roughly half of its appearances do not convert into a valid recommendation. Every other tracked brand converts a higher share of its presence into recommendations.

The gap is visible in placement as well as coverage. Freedom Mortgage's top-three rate of 4.5% and rank-one rate of 0.8% are the lowest in the category. When the brand is recommended, it is rarely placed prominently. This compounds the coverage problem: Freedom Mortgage is both recommended less often and placed lower when it is recommended.

Platform-specific gaps are stark. On Perplexity, Freedom Mortgage recorded just 1.5% coverage and a presence rate of 7.6%, meaning the brand is nearly invisible on that surface. On ChatGPT, coverage fell to 2.7% despite a presence rate of 12.3%, a conversion gap of nearly 10 points. These two platforms alone represent a significant share of AI-led discovery traffic, and Freedom Mortgage is not competitive on either.

Competitive displacement is the underlying pattern. Rocket Mortgage appears in 95.2% of qualified responses and is recommended in 62.8%, while Veterans United Home Loans appears in 59.4% and is recommended in 42.2%. When AI systems name the category leaders, they leave limited room for challengers. Freedom Mortgage's 30.5% presence rate means it is not even entering the consideration set in most responses, and its weak conversion rate means it loses ground even when it does appear.

Biggest Opportunity

Questions This Section Answers

  • What is the clearest opportunity for Freedom Mortgage to improve its recommendation coverage?
  • What type of evidence layer problem does the benchmark data point to?

The clearest opportunity for Freedom Mortgage is converting its existing neutral mentions into valid recommendations. The brand recorded 94 neutral mentions in September 2026, nearly as many as its 102 positive mentions. Neutral mentions indicate that AI systems are aware of Freedom Mortgage and can describe it factually, but are not choosing it as a recommended lender. Closing even part of this neutral-to-recommendation gap would move the brand's coverage rate materially without requiring a wholesale expansion of presence.

This is a citation architecture and public evidence layer problem. The benchmark data suggests Freedom Mortgage is retrievable but not persuasive. AI systems can find the brand, but the sources they retrieve do not position it as a lender worth recommending. Strengthening the owned answer layer and the third-party evidence that AI systems cite when building lender shortlists would give those systems a reason to move Freedom Mortgage from a neutral mention into a valid recommendation.

Competitive Landscape

Questions This Section Answers

  • Where does Freedom Mortgage rank against the other tracked mortgage lenders on recommendation metrics?
  • How does the brand's placement performance compare with the category leaders?

Rocket Mortgage holds dominant recommendation-stage strength in the mortgage category, with Veterans United Home Loans as the strongest challenger. Freedom Mortgage sits at the bottom of the tracked set on valid recommendation coverage, behind even New American Funding, which posted the steepest decline in the category.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Freedom Mortgage

4.52%

0.78%

3.86

0.5204

New American Funding

5.14%

0.47%

4.19

0.8806

PennyMac

8.10%

1.40%

3.73

0.6797

loanDepot

9.81%

0.62%

4.29

0.7273

Veterans United Home Loans

29.44%

16.51%

2.50

0.7717

Rocket Mortgage

48.13%

28.35%

2.01

0.7119

Average recommended rank covers rank-eligible recommendations only.

The table shows Freedom Mortgage at the bottom of the tracked set on top-three rate and rank-one rate, with the lowest net sentiment score of any brand in the category. Its average recommended rank of 3.86 is competitive with the middle of the field, but that rank applies to a very small number of recommendations. The brand is not being displaced by a single competitor so much as it is being passed over across the entire tracked set.

Prompt Evidence

Questions This Section Answers

  • Which prompt-platform combinations produced Freedom Mortgage's strongest and weakest recommendation results?
  • What do the platform-level differences reveal about where the brand's conversion problem is worst?

Google AI Overviews / Best Mortgage Lenders & Top Home Loan Providers Prompt: "best mortgage lenders" Result: Freedom Mortgage appeared in 40.1% of responses on this platform and converted to a valid recommendation in 20.4%, its strongest platform performance.

ChatGPT / Best Mortgage Lenders & Top Home Loan Providers Prompt: "Which bank loan is best for a home loan?" Result: Freedom Mortgage appeared in 12.3% of responses but was recommended in only 2.7%, a conversion gap of nearly 10 points.

Perplexity / Best Mortgage Lenders & Top Home Loan Providers Prompt: "mortgage lenders" Result: Freedom Mortgage was nearly invisible, appearing in 7.6% of responses and receiving a valid recommendation in just 1.5%.

Google AI Mode / Best Mortgage Lenders & Top Home Loan Providers Prompt: "home interest rates" Result: Freedom Mortgage appeared in 35.9% of responses and was recommended in 16.3%, showing a workable base on this surface.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts, platforms, and evidence sources where Freedom Mortgage appears but is not recommended, with priority on the ChatGPT and Perplexity conversion gaps.

Phase 2: Recommendation Readiness Plan Identify which owned pages and third-party sources AI systems currently retrieve when they mention Freedom Mortgage, and determine why those sources do not support a recommendation.

Phase 3: Owned Answer Layer Buildout Develop lender comparison, program eligibility, and customer experience content that gives AI systems concrete, citable reasons to recommend Freedom Mortgage over competitors.

Phase 4: Citation / Authority Layer Development Strengthen the third-party evidence footprint across review platforms, industry publications, and comparison sites that AI systems use when constructing lender shortlists.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track presence, valid recommendation coverage, top-three placement, and rank-one frequency monthly to measure whether the conversion gap is closing.

Why This Matters

AI systems are increasingly the first stop for prospective borrowers asking which mortgage lender to use. Freedom Mortgage is being mentioned in roughly three of every ten qualified AI responses, but it is being recommended in fewer than one in six. That gap means the brand is visible enough to be considered but not persuasive enough to be chosen.

The next move is not broader visibility. Freedom Mortgage needs targeted correction of the prompt, page, and citation layers that determine whether AI systems move the brand from a neutral mention into a valid recommendation. Presence without recommendation is an incomplete strategy, and the September 2026 benchmark shows exactly where that incompleteness lives.

Core Metrics

Metric

Value

Mentions

196

Valid recommendations

95

Top 3 recommendation count

29

Rank #1 recommendation count

5

Average recommended rank

3.86

Positive mentions

102

Neutral mentions

94

Negative mentions

0

Raw mention presence rate

30.53%

Valid recommendation coverage

14.80%

Top 3 recommendation rate

4.52%

Rank #1 recommendation rate

0.78%

Net sentiment score

0.5204

Strongest cluster by recommendation behavior

Best Mortgage Lenders & Top Home Loan Providers

Strongest platform by recommendation behavior

Google AI Overviews

Sentiment Score

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

For Freedom Mortgage, this produces (102 × 1 + 94 × 0 + 0 × -1) / 196 = 0.5204.

This score matters because unclassified mention counts are misleading. Freedom Mortgage's 196 total mentions look respectable until they are separated into 102 positive, 94 neutral, and zero negative mentions. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, and a competitor-displaced mention are not equal, and counting all mentions as wins would hide the fact that Freedom Mortgage is being mentioned without being recommended. Classified sentiment is required before interpreting AI visibility, because the score reveals that the brand's problem is not negative framing but weak conversion of positive and neutral awareness into recommendations.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

9

2

7

0

0.2222

Present as context, not recommendation

Copilot

18

15

3

0

0.8333

Positive, but sample too small

Gemini

31

13

18

0

0.4194

Present as context, not recommendation

Google AI Mode

66

33

33

0

0.5000

Present, but not recommendation-led

Google AI Overviews

67

38

29

0

0.5672

Strongest public recommendation signal

Perplexity

5

1

4

0

0.2000

No meaningful public presence

Methodology

  1. This report is a benchmark-based analysis of Freedom Mortgage's AI market visibility and recommendation position, not a client implementation case study.
  2. The reporting window is September 2026, with comparative context drawn from the July 2026 baseline and August 2026 measurements.
  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 642 qualified observations after two qualification stages.
  5. The competitor universe includes six tracked mortgage lenders: Freedom Mortgage, loanDepot, New American Funding, PennyMac, Rocket Mortgage, and Veterans United Home Loans.
  6. All qualified observations fell into the Brand Recommendation buyer-intent class. No Pricing & Value or Multi-Brand Comparison observations survived qualification.
  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 qualified observation where the brand appears in the AI response, regardless of whether it is recommended.
  9. A valid recommendation is defined as a qualified observation where the brand receives an affirmative recommendation, distinct from a neutral reference or a mention without recommendation intent.
  10. Top-three rate measures the share of qualified observations where the brand appears in the first three recommended positions. Rank-one rate measures the share where the brand is the first recommendation.
  11. The public benchmark does not measure market share, sales attribution, organic-search ranking performance, social mention volume, or private channels. Metric movements indicate areas worth investigating, not causation.
  12. Platform-level percentages are based on each platform's observation count, which varies by surface. Small absolute counts on platforms like Perplexity and ChatGPT can produce visible percentage movements.

Get Your AI Visibility Audit

The public benchmark shows where Freedom Mortgage stands in AI-generated mortgage recommendations, but it does not explain why the brand is mentioned without being recommended. A company-level AI visibility audit maps the specific prompts, competitor displacement patterns, and evidence sources behind the September 2026 numbers, and traces each coverage movement to its underlying driver.

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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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