loanDepot AI Market Strategy Report - Mortgage Refinance Lenders

Answer Capsule

loanDepot holds the second-strongest recommendation position in the Mortgage Refinance Lenders category, with valid recommendation coverage of 36.5% in September 2026. The brand trails category leader Rocket Mortgage by 27.2 points but widened its gap over third-place Bank of America Corp. by 8.6 points. loanDepot's clearest win is its August-to-September presence gain of 8.2 points, which exceeded normal month-to-month variation. Its clearest weakness is a rank-one rate of just 1.75%, meaning the brand is frequently shortlisted but rarely named as the first or primary option. The clearest opportunity is converting its strong mention presence into higher top-three and first-position placement across high-intent refinance prompts.

Who This Report Is For

This report is for mortgage lending executives, growth teams, and digital strategy leaders at loanDepot who need to understand how AI systems are recommending mortgage refinance lenders and where the brand stands in AI-generated buyer shortlists.

Report Card

Executive Summary

loanDepot holds the second-strongest recommendation position in the Mortgage Refinance Lenders category, with valid recommendation coverage of 36.5% in September 2026. The brand trails category leader Rocket Mortgage by 27.2 points, a gap that narrowed from the 37.3-point difference recorded in July 2026. loanDepot recorded 320 mentions across 570 qualified observations, with 217 positive mentions, 102 neutral mentions, and 1 negative mention, producing a net sentiment score of 0.675.

The strongest cluster for loanDepot is the Brand Recommendation cluster, which captures direct asks for lender suggestions in mortgage refinance discovery. All 570 qualified observations in September 2026 fell into this cluster, and loanDepot's valid recommendation coverage of 36.5% was driven entirely by performance within it. The brand's presence rate of 56.1% shows that loanDepot appears in more than half of all qualified responses, but its top-three rate of 13.33% reveals a meaningful gap between being mentioned and being prominently recommended.

The strongest platform signal for loanDepot is Copilot, where the brand achieved 66.67% valid recommendation coverage, its highest of any tracked platform. ChatGPT also performed well, with 43.84% valid recommendation coverage and a rank-one rate of 8.22%, the brand's strongest first-position performance anywhere. The clearest platform gap is Perplexity, where loanDepot recorded only 11.67% valid recommendation coverage and no top-three placements, suggesting the brand is present but not surfaced as a leading option on that surface.

The most consequential movement in September 2026 was the reconfiguration of tracked entity names across the benchmark, which saw Chase, Bank of America, and Wells Fargo fall to zero coverage under their prior names while new entity variants entered the tracked set. loanDepot was not affected by this reconfiguration, making its 8.2-point August-to-September gain a genuine upward movement rather than a measurement artifact.

What loanDepot Is Winning

Questions This Section Answers

• What is loanDepot's strongest evidence-backed competitive position?
• Which platform shows the strongest recommendation performance for loanDepot?

loanDepot's strongest evidence-backed win is its position as the clear second recommendation in the category. With valid recommendation coverage of 36.5%, loanDepot leads third-place Bank of America Corp. by 8.6 points and holds a 9.3-point advantage over Better.com in fourth place. This is not a narrow lead; it represents a durable second-tier position behind Rocket Mortgage.

The brand's August-to-September presence gain of 8.2 points exceeded normal month-to-month variation, making it the sharpest upward movement among brands tracked across the full series. Presence rose from 43.7% in July 2026 to 56.1% in September 2026, a gain of 12.4 points, with the brand appearing in 320 of 570 qualified observations. This suggests AI systems are increasingly retrieving and naming loanDepot in mortgage refinance responses.

loanDepot also shows strength on Copilot, where it achieved 66.67% valid recommendation coverage and a top-three rate of 25.64%. This platform-level performance indicates that loanDepot's recommendation story is particularly strong on Microsoft's AI surface, where it appears to be surfaced as a leading option in a substantial share of responses.

Where loanDepot Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How large is the gap between loanDepot's presence rate and its top-three recommendation rate?
• Why does Perplexity represent a platform-specific visibility gap for loanDepot?

loanDepot's most significant gap is the distance between its presence rate and its recommendation placement. The brand appears in 56.1% of qualified observations but is recommended in the top three only 13.33% of the time. This means loanDepot is frequently mentioned in AI responses without being elevated into the shortlist positions that most influence buyer choice. Rocket Mortgage, by contrast, converts its 98.25% presence rate into a 44.21% top-three rate, showing a far stronger relationship between visibility and recommendation.

The rank-one gap is even more pronounced. loanDepot recorded a rank-one rate of just 1.75%, with only 10 first-place finishes across 570 observations. Rocket Mortgage holds a 30.53% rank-one rate, meaning the category leader is named first in nearly one of every three responses while loanDepot is named first in fewer than one in fifty. Similar coverage can hide very different first-position rates, and this is the clearest example in the category.

Perplexity represents a platform-specific gap. loanDepot achieved only 11.67% valid recommendation coverage on Perplexity, with no top-three placements and no rank-one finishes. The brand's presence rate of 25% on that platform shows it is being mentioned, but it is not being converted into recommendation placement. This pattern suggests loanDepot's public evidence layer is retrievable on Perplexity but is not strong enough to earn shortlist positions there.

Biggest Opportunity

Questions This Section Answers

• What is the clearest opportunity for loanDepot to strengthen its AI recommendations?
• What distinguishes the gap between presence and recommendation for loanDepot?

loanDepot's clearest opportunity is converting its strong mention presence into higher top-three and rank-one placement on direct brand recommendation prompts. The brand is already present in more than half of all qualified responses, which means AI systems recognize loanDepot as a relevant lender in mortgage refinance discovery. The gap between presence and recommendation is not a visibility problem; it is a framing and authority problem.

The path forward is to strengthen the sources and narratives that position loanDepot as a first-choice or top-three option rather than a contextual mention. loanDepot's strongest platform performance on Copilot, where it achieves 66.67% valid recommendation coverage, suggests the brand already has the raw material to earn recommendation placement. Extending that pattern across ChatGPT, Gemini, AI Mode, and AI Overviews would narrow the gap with Rocket Mortgage and widen the lead over the chasing pack.

Competitive Landscape

Questions This Section Answers

• Where does loanDepot rank among tracked mortgage refinance lenders on placement metrics?
• How does loanDepot's average recommended rank compare with Rocket Mortgage's?

Rocket Mortgage holds dominant recommendation-stage strength in the Mortgage Refinance Lenders category, with loanDepot established as the strongest challenger. The remaining tracked brands trail by substantial margins, with Bank of America Corp. and Better.com forming a distant middle tier.

Average recommended rank covers rank-eligible recommendations only.

loanDepot's position is clear from the table: it holds second place on every placement metric but trails Rocket Mortgage by a wide margin on top-three and rank-one rates. The brand's average recommended rank of 3.70 shows that when loanDepot is recommended, it tends to appear in the third or fourth position rather than at the top of the shortlist.

Prompt Evidence

Questions This Section Answers

• Which platform prompt produced loanDepot's strongest recommendation coverage?
• How did loanDepot perform on Perplexity's direct brand recommendation prompt?

ChatGPT / Brand Recommendation Prompt: "Who is the best lender for mortgages?" Result: loanDepot was recommended with a top-three placement, showing strength on direct recommendation prompts within ChatGPT.

Copilot / Brand Recommendation Prompt: "Which bank loan is best for a home loan?" Result: loanDepot achieved 66.67% valid recommendation coverage on Copilot, its strongest platform performance, indicating frequent shortlist inclusion.

Perplexity / Brand Recommendation Prompt: "best mortgage lenders" Result: loanDepot was mentioned but not placed in the top three, showing a presence-without-recommendation pattern on this platform.

Gemini / Brand Recommendation Prompt: "mortgage refinancing" Result: loanDepot recorded 34.52% valid recommendation coverage on Gemini, with a top-three rate of 11.90%, showing moderate recommendation strength.

What CiteWorks Studio Would Do Next

Questions This Section Answers

• What phases would CiteWorks Studio run to improve loanDepot's AI recommendation visibility?
• Which platform receives emphasis in the planned evidence-layer development?

Phase 1: AI Market Discovery Audit Map which high-intent refinance prompts currently place loanDepot in the top three, which place it lower, and which competitor takes the recommendation when loanDepot is displaced.

Phase 2: Recommendation Readiness Plan Identify the framing attributes AI systems associate with loanDepot versus Rocket Mortgage, and build the evidence layer needed to support first-position claims.

Phase 3: Owned Answer Layer Buildout Develop owned content that answers the specific refinance questions where loanDepot is mentioned but not recommended, giving AI systems clearer material to cite.

Phase 4: Citation / Authority Layer Development Strengthen the backlink-supported evidence layer that AI systems appear to retrieve when forming mortgage refinance recommendations, with emphasis on Perplexity and other weak platforms.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track loanDepot's presence, top-three rate, and rank-one rate monthly to measure whether the gap with Rocket Mortgage is narrowing and whether platform-level weaknesses are improving.

Why This Matters

AI-generated recommendations are becoming the buyer shortlist for mortgage refinance discovery. When a borrower asks an AI system which lender to use, the brands named first and within the top three capture the decision moment. loanDepot is present in these responses more than half the time, but it is rarely the first name a buyer sees.

Presence alone is not enough. The brands that win the recommendation moment are those that AI systems consistently place at the top of the shortlist, and that requires a coordinated effort across the prompt, page, and citation layers. For loanDepot, the next move is converting its strong mention base into first-position recommendation strength.

Core Metrics

Sentiment Score

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

For loanDepot, this calculation is (217 × 1 + 102 × 0 + 1 × -1) / 320, producing a net sentiment score of 0.675.

This score matters because unclassified mention counts are misleading. A brand can appear in hundreds of responses and still be framed negatively or neutrally, which carries different commercial weight than a positive recommendation. Share of voice is a diagnostic metric, not a business KPI; it tells you where a brand appears, not whether the appearance helps. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates mentions that build preference from mentions that merely build awareness.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of loanDepot's AI recommendation visibility in the Mortgage Refinance Lenders category, produced from the LLM Authority Index AI Market Discovery Index and supporting metrics aggregation. It is not a client implementation case study.
2. The reporting window is September 2026, with July 2026 and August 2026 referenced as baseline and intermediate comparison months.
3. Six AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
4. The September 2026 run began with 800 prompt-surface observations, of which 571 were unique questions and 800 mentioned a tracked brand or competitor. After qualification, 570 observations formed the public denominator.
5. Ten brands were tracked in the competitor universe: 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. All qualified observations in September 2026 fell into the Brand Recommendation buyer-intent cluster. No qualified observations were captured for Pricing & Value or Multi-Brand Comparison clusters.
7. Stage 0 extraction retained the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed for each observation.
8. A mention is defined as any appearance of a tracked brand within an AI response, regardless of whether the brand is recommended.
9. A valid recommendation is defined as an appearance where the brand is explicitly recommended or shortlisted as an option, distinct from a neutral or contextual mention.
10. The tracked brand list changed in September 2026, with Bank of America Corp., Chase Credit Journey, and Wells Fargo & Co. replacing prior entity names. loanDepot was tracked under the same name across the full series.
11. Month-over-month movement identifies changes worth investigating; it does not establish cause. The benchmark cannot distinguish whether entity-name changes reflect shifts in AI naming conventions or changes in which names were tracked.
12. Limitations: the public benchmark measures only the sampled prompt set, does not capture every possible AI response, and does not measure market share, sales attribution, or organic-search ranking performance. Source presence is evidence about the information environment, not proof that a source caused a recommendation.

See How AI Is Recommending Your Brand

The public benchmark shows where loanDepot stands in AI-generated mortgage refinance recommendations, but the aggregate percentages hide the questions that matter most. A company-level AI visibility audit maps which high-intent prompts loanDepot wins, which competitor takes the recommendation when loanDepot loses ground, and which external sources shape those answers. That analysis turns benchmark data into a prioritized visibility strategy.