Open Mortgage AI Visibility Market Strategy Report - Reverse Mortgage

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Open Mortgage had zero mentions and zero valid recommendations across 288 qualified observations.
  • The company showed no presence on ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, or AI Mode.
  • Competitors such as Guild Mortgage, Longbridge Financial, and Finance of America Reverse dominated the consideration-stage cluster.
  • The clearest path forward is building owned content and citations that match high-intent reverse mortgage queries.

Answer Capsule

Open Mortgage recorded 0.00% valid recommendation coverage in the October 2026 LLM Authority Index reverse mortgage benchmark, with zero mentions across all 288 qualified observations. The company holds no measurable presence in AI-generated recommendations for the category, placing it last among ten tracked brands. The clearest opportunity is establishing any baseline presence in the consideration-stage prompt cluster where competitors are actively being recommended. Without intervention, Open Mortgage remains absent from the buyer shortlist at the moment AI systems form recommendations.

Who This Report Is For

This report is for Open Mortgage's marketing, digital strategy, and executive leadership teams seeking to understand the company's current position in AI-generated recommendations for reverse mortgage queries and to identify the path toward recommendation-stage visibility.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Open Mortgage

Category / market studied

Reverse Mortgage

Reporting month

October 2026

AI platforms tracked

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

Public high-intent clusters

1

AI observations analyzed

288

Competitors tracked

9

Executive Summary

Open Mortgage recorded zero valid recommendations across all 288 qualified observations in the October 2026 reverse mortgage benchmark. The company appeared in no AI-generated responses, received no positive, neutral, or negative mentions, and registered 0.00% raw mention presence rate. This places Open Mortgage last among the ten tracked brands in the category.

The benchmark's single qualified cluster, Best Reverse Mortgage Lenders and Companies, captured all 288 observations. Within this consideration-stage cluster, competitors including Guild Mortgage, Longbridge Financial, and Finance of America Reverse accumulated substantial recommendation coverage while Open Mortgage remained entirely absent.

The company's position represents a complete visibility gap rather than a weak performance within an existing footprint. Open Mortgage does not appear in AI-generated recommendations for reverse mortgage queries at any measurable rate. The benchmark recorded no platform-level presence for Open Mortgage across ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, or AI Mode.

The category leader, Guild Mortgage, achieved 49.30% valid recommendation coverage with 142 valid recommendations. The second and third positions, held by Longbridge Financial at 43.75% and Finance of America Reverse at 43.40%, demonstrate that meaningful recommendation share is achievable within this prompt cluster. Open Mortgage's absence from this distribution indicates the company is not currently part of the consideration set AI systems surface to buyers.

The benchmark's citation analysis shows that two tracked brands' own domains appeared among the top ten cited sources, with guildmortgage.com and financeofamerica.com each accounting for 2.10% of citations. This pattern suggests that owned content and domain authority may contribute to recommendation visibility, though the benchmark does not establish direct causation.

Open Mortgage's path forward requires establishing foundational presence in the prompt and citation layers that AI systems draw upon when generating reverse mortgage recommendations. The company's current absence from all tracked platforms indicates a need to build the public evidence layer that supports AI retrievability and recommendation inclusion.

What Open Mortgage Is Winning

The October 2026 benchmark data does not identify measurable wins for Open Mortgage in AI recommendation visibility. The company recorded zero mentions, zero valid recommendations, and zero presence across all six tracked AI platforms.

This section is included for completeness, but the evidence does not support identifying a strongest cluster, platform, or prompt type for Open Mortgage. The company's position in the benchmark is one of complete absence rather than differentiated performance within an existing visibility footprint.

Where Open Mortgage Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How complete is Open Mortgage's absence across the six tracked AI platforms?
  • Which competitors achieved at least minimal recommendation inclusion while Open Mortgage received none?

Open Mortgage's most significant gap is total absence from AI-generated recommendations in the reverse mortgage category. The company recorded 0.00% valid recommendation coverage, 0.00% raw mention presence rate, and zero recommendations across all 288 qualified observations.

The gap is comprehensive across platforms. ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode all returned zero mentions of Open Mortgage in the October 2026 collection. This is not a platform-specific weakness but a category-wide absence.

The gap is also absolute within the qualified cluster. The Best Reverse Mortgage Lenders and Companies cluster captured all 288 observations, and Open Mortgage did not appear in any of them. Competitors with similar or smaller overall market presence, including HighTechLending at 1.39% coverage and Liberty Reverse Mortgage at 3.12% coverage, achieved at least minimal recommendation inclusion. Open Mortgage did not.

The competitive displacement pattern is stark. When AI systems generate reverse mortgage recommendations, Open Mortgage is not part of the consideration set. Guild Mortgage, Longbridge Financial, Finance of America Reverse, Fairway Independent Mortgage, Mutual of Omaha Mortgage, All Reverse Mortgage, Liberty Reverse Mortgage, American Advisors Group, and HighTechLending all received at least some recommendation credit. Open Mortgage received none.

Biggest Opportunity

Questions This Section Answers

  • Which prompt cluster offers Open Mortgage the clearest path to recommendation inclusion?
  • What public evidence layer does Open Mortgage need to build for AI systems to retrieve and cite it?
  • Which citation sources dominate the reverse mortgage information environment Open Mortgage is currently absent from?

Open Mortgage's clearest opportunity is establishing baseline presence in the consideration-stage prompt cluster where competitors are actively being recommended. The Best Reverse Mortgage Lenders and Companies cluster represents the primary discovery pathway for buyers seeking reverse mortgage providers, and Open Mortgage currently has no visibility within it.

The path from absence to recommendation requires building the public evidence layer that AI systems draw upon when generating responses. This includes owned content that directly addresses the prompts in this cluster, such as queries about the best reverse mortgage companies, top reverse mortgage lenders, and how reverse mortgages work. It also includes citation-worthy content that consumer finance publishers and comparison sites may reference when discussing reverse mortgage providers.

The benchmark's citation data shows that financial news and consumer finance comparison sites dominate the sources AI systems cite, with cnbc.com, bankrate.com, money.com, nerdwallet.com, and finance.yahoo.com among the most-cited domains. Open Mortgage's absence from both the recommendation layer and the citation layer suggests the company is not currently part of the information environment AI systems synthesize when answering reverse mortgage queries.

Competitive Landscape

Questions This Section Answers

  • How do the top reverse mortgage brands compare on top-three rate, rank-one rate, and average recommended rank?
  • How does Open Mortgage's position differ from HighTechLending, the other brand with zero top-three placements?

Guild Mortgage holds the strongest recommendation-stage position in the October 2026 reverse mortgage benchmark, with Longbridge Financial and Finance of America Reverse close behind. Open Mortgage sits outside the recommendation distribution entirely, with no measurable presence at any recommendation tier.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Finance of America Reverse

43.40%

34.72%

1.24

0.8077

Longbridge Financial

42.01%

7.99%

2.016

0.8235

Mutual of Omaha Mortgage

27.78%

2.08%

2.9479

0.8772

Guild Mortgage

14.58%

3.82%

4.0458

0.843

Fairway Independent Mortgage

7.29%

0.69%

4.0825

0.8718

All Reverse Mortgage

5.21%

1.39%

3.4839

0.541

Liberty Reverse Mortgage

1.74%

0.00%

3.3333

0.8182

American Advisors Group (AAG)

1.74%

0.35%

3

0.1786

HighTechLending

0.00%

0.00%

7

1.0

Open Mortgage

0.00%

0.00%

N/A

0.00

Average recommended rank covers rank-eligible recommendations only.

Open Mortgage's position at the bottom of the table reflects its complete absence from the recommendation distribution. The company recorded no top-three placements, no rank-one placements, and no rank-eligible recommendations. Unlike HighTechLending, which achieved a 7.0 average recommended rank despite zero top-three placements, Open Mortgage has no rank data because it received no valid recommendations.

Prompt Evidence

[ChatGPT] / [Best Reverse Mortgage Lenders and Companies] Prompt: "best reverse mortgage company" Result: Open Mortgage was not mentioned in the response; competitors including Guild Mortgage and Longbridge Financial received recommendations.

[Google AI Overviews] / [Best Reverse Mortgage Lenders and Companies] Prompt: "reverse mortgage lenders" Result: Open Mortgage did not appear; Finance of America Reverse and Longbridge Financial were prominently recommended.

[Perplexity] / [Best Reverse Mortgage Lenders and Companies] Prompt: "what is a reverse mortgage" Result: Open Mortgage was absent from the response; the answer referenced general reverse mortgage information without naming Open Mortgage among providers.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Establish a baseline measurement of Open Mortgage's current visibility across all tracked AI platforms and identify which specific prompts and clusters represent the highest-priority entry points for recommendation inclusion.

Phase 2: Recommendation Readiness Plan Map the gap between Open Mortgage's current public evidence layer and the content patterns that appear to support recommendation inclusion for competitors in the category.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly addresses the high-intent prompts in the Best Reverse Mortgage Lenders and Companies cluster, creating retrievable answers that AI systems can synthesize when generating recommendations.

Phase 4: Citation and Authority Layer Development Build the external citation footprint that supports AI retrievability, targeting the consumer finance comparison sites and financial publishers that AI systems most frequently cite in reverse mortgage responses.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor Open Mortgage's progress toward recommendation inclusion with monthly measurement against the benchmark's established metrics and competitor set.

Why This Matters

AI presence alone is not sufficient for recommendation-stage visibility. Open Mortgage's current position demonstrates the inverse: complete absence from AI-generated recommendations means the company is not part of the buyer shortlist when AI systems form recommendations for reverse mortgage queries.

The next move requires targeted correction across the prompt, page, and citation layers. Open Mortgage needs owned content that addresses the specific queries in the consideration-stage cluster, external citations that establish the company as a referenceable source, and a public evidence layer that AI systems can retrieve and synthesize when generating recommendations. Without these foundational elements, the company remains invisible at the moment buyers are forming their consideration sets.

Core Metrics

Metric

Value

Mentions

0

Valid recommendations

0

Top 3 recommendation count

0

Rank #1 recommendation count

0

Average recommended rank

N/A

Positive mentions

0

Neutral mentions

0

Negative mentions

0

Raw mention presence rate

0.00%

Valid recommendation coverage

0.00%

Top 3 recommendation rate

0.00%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.00

Strongest cluster by recommendation behavior

None (no recommendations recorded)

Strongest platform by recommendation behavior

None (no platform presence recorded)

Sentiment Score

Questions This Section Answers

  • Why does Open Mortgage's 0.00 sentiment score reflect absence rather than neutral standing?
  • Why are unclassified mention counts misleading for measuring brand visibility in this benchmark?

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

Open Mortgage recorded zero mentions across all 288 qualified observations in the October 2026 benchmark. With no positive, neutral, or negative mentions, the sentiment score is 0.00.

This score reflects absence rather than neutrality. A sentiment score of 0.00 for a company with zero mentions is fundamentally different from a sentiment score of 0.00 for a company with equal positive and negative mentions. In Open Mortgage's case, the score indicates the company was not part of any AI-generated response in the benchmark.

Unclassified mention counts are misleading because they treat all appearances as equivalent. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal in commercial value. Counting all mentions as wins is bad measurement. For Open Mortgage, the absence of any mentions means there is no framing to evaluate and no recommendation signal to interpret.

Sentiment by Platform

Questions This Section Answers

  • Did Open Mortgage register any mentions, positive or negative, on any of the six tracked AI platforms?
  • What does the platform-level readout show about Open Mortgage's public presence in this measurement period?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Copilot

0

0

0

0

N/A

No public presence in this packet

Gemini

0

0

0

0

N/A

No public presence in this packet

Perplexity

0

0

0

0

N/A

No public presence in this packet

AI Overviews

0

0

0

0

N/A

No public presence in this packet

AI Mode

0

0

0

0

N/A

No public presence in this packet

Methodology

  1. Report orientation: This is a benchmark-based AI Visibility Company Market Strategy Report for Open Mortgage within the reverse mortgage category, derived from the October 2026 LLM Authority Index AI Visibility Market Discovery benchmark.
  2. Reporting window: The October 2026 measurement period, with comparison to the July 2026 baseline where available.
  3. Platforms tracked: Six AI and search surface families were included: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. Observation count: The October 2026 benchmark began with 757 prompt-surface observations and produced 288 qualified observations after relevance and qualification stages.
  5. Competitor universe: Ten brands were tracked in the reverse mortgage category: All Reverse Mortgage, American Advisors Group (AAG), Fairway Independent Mortgage, Finance of America Reverse, Guild Mortgage, HighTechLending, Liberty Reverse Mortgage, Longbridge Financial, Mutual of Omaha Mortgage, and Open Mortgage.
  6. Public clusters used: The benchmark's single qualified cluster was Best Reverse Mortgage Lenders and Companies, a consideration-stage cluster capturing 288 observations. Two additional clusters, Reverse Mortgage Lender Comparisons and Reverse Mortgage Rates and Costs, were defined but recorded no qualified observations in this measurement period.
  7. Stage 0 role: Stage 0 extraction identified and qualified prompt-surface observations for inclusion in the public benchmark, separating relevant observations from irrelevant ones and establishing the qualified denominator used for all brand-level metrics.
  8. Definition of a mention: A mention occurs when a brand name appears in an AI-generated response to a qualified prompt, regardless of whether the brand is recommended.
  9. Definition of a valid recommendation: A valid recommendation occurs when a brand is explicitly recommended or shortlisted in an AI-generated response, with positive sentiment and rank-eligible placement.
  10. Ranking interpretation: Top-three rate reflects the share of qualified observations where a brand appears in the first three recommended positions. Rank-one rate reflects the share where a brand is the first recommendation. Average recommended rank covers rank-eligible recommendations only.
  11. Limitations: The benchmark measures brand recommendation discovery only and does not capture pricing, value, or multi-brand comparison queries in the current public series. Source presence is evidence about the information environment and is not automatically proof of causation. Open Mortgage's zero-mention status means no platform-level or cluster-level performance can be characterized beyond absence.
  12. Data note: All brand-level percentages are calculated within the 288 qualified observations for October 2026, not the 757 raw prompt-surface observations collected.

See How AI Is Recommending Your Brand

Open Mortgage's absence from AI-generated recommendations represents a measurable gap in the buyer discovery journey. Understanding where competitors are being recommended, which prompts drive recommendation inclusion, and what citation patterns support visibility is the first step toward closing that gap. A company-level AI visibility audit maps the prompt, platform, competitor, and source patterns that determine whether a brand appears in AI-generated recommendations for reverse mortgage queries.

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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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