CiteWorks Studio

American Advisors Group (AAG) AI Market Strategy Report - Reverse Mortgage

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • AAG recorded 3.19% valid recommendation coverage across 313 qualified reverse mortgage observations, ranking eighth out of 10 tracked brands.
  • The brand appeared in 7.03% of observations but converted fewer than half of those mentions into valid recommendations, showing a clear mention-to-recommendation gap.
  • AAG had no rank-one recommendations and only a 0.96% top-three rate, limiting its presence in buyer shortlists.
  • AI Mode was AAG's strongest platform for recommendations, while Gemini showed only neutral visibility and Copilot included the brand's only negative mentions.

Answer Capsule

American Advisors Group (AAG) holds minimal recommendation power in the September 2026 reverse mortgage category, with valid recommendation coverage of 3.19% across 313 qualified observations. The brand appears in AI-generated responses but is rarely selected for a buyer shortlist, and it holds no rank-one recommendation positions. AAG's clearest weakness is its near-total absence from top-three placements at 0.96%, while its clearest opportunity lies in converting its existing 7.03% raw mention presence into valid recommendations. The benchmark shows AAG is visible as context but not chosen as a recommendation.

Who This Report Is For

This report is for AAG leadership, marketing strategists, and competitive intelligence teams evaluating how the brand appears in AI-led discovery for reverse mortgage queries. It is also relevant for partners and stakeholders assessing category positioning as buyer research shifts toward AI-generated recommendations.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

American Advisors Group (AAG)

Category / market studied

Reverse 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

313

Competitors tracked

10

Executive Summary

American Advisors Group (AAG) holds valid recommendation coverage of 3.19% in the September 2026 reverse mortgage benchmark, placing the brand eighth among ten tracked competitors. The category leader, Guild Mortgage, holds 43.5% coverage, a gap of roughly 40 percentage points. This is not a marginal difference. It represents a structural absence from the recommendation set that AI systems surface for high-intent reverse mortgage queries.

The benchmark recorded 22 mentions of AAG across 313 qualified observations, producing a raw mention presence rate of 7.03%. Of those mentions, 11 were classified as positive, 9 as neutral, and 2 as negative. The net sentiment score of 0.4091 is the lowest among all tracked brands with meaningful presence, indicating that when AAG does appear, the framing is weaker than competitors.

AAG's valid recommendation count was 10, meaning fewer than half of its mentions converted into a valid recommendation. The brand's top-three rate of 0.96% and rank-one rate of 0.00% confirm that AAG is almost never placed in a shortlist position, let alone the first recommendation. The average recommended rank of 4.5556, when the brand does receive rank credit, places it well outside the positions that drive buyer consideration.

The strongest platform signal for AAG is AI Mode, where the brand recorded 4 valid recommendations and a positive sentiment score of 1.0. The weakest platform is Gemini, where AAG received zero positive mentions and only neutral visibility at a 0.0 sentiment score. Copilot recorded 2 negative mentions for AAG, the only negative sentiment recorded for the brand across any platform.

The benchmark classifies all 313 qualified observations into a single buyer-intent cluster, Best Reverse Mortgage Lenders & Companies. This means the current public series measures which brands AI systems recommend for reverse mortgage queries but does not yet capture pricing, value, or multi-brand comparison prompts. AAG's performance in those prompt types remains unmeasured in this benchmark.

The clearest gap for AAG is the distance between presence and recommendation. The brand appears in 7.03% of qualified observations but receives a valid recommendation in only 3.19%. Competitors like Longbridge Financial convert 47.0% presence into 38.7% coverage, and Finance of America Reverse converts 50.8% presence into 39.6% coverage. AAG's conversion rate from mention to recommendation is substantially lower.

What American Advisors Group (AAG) Is Winning

Questions This Section Answers

  • What is AAG's strongest position in the September 2026 reverse mortgage benchmark?
  • Where does AAG actually receive valid recommendations or shortlist placements?
  • Which platform is AAG's strongest by recommendation behavior?

AAG's most defensible position is its positive sentiment ratio. Of the 22 mentions recorded, 11 were positive and only 2 were negative, producing a net sentiment score of 0.4091. While this score is the lowest among brands with meaningful presence, it remains positive, indicating that AI systems do not frame AAG negatively when the brand appears.

The brand recorded 10 valid recommendations in September 2026, placing it eighth in the category. This is a narrow but real recommendation pocket. AAG is not absent from AI-generated recommendations entirely. It appears in a small number of responses as a valid option.

AAG's strongest platform by recommendation behavior is AI Mode, where it recorded 4 valid recommendations and a sentiment score of 1.0. This suggests that AI Mode surfaces AAG more readily than other platforms in the benchmark.

The brand also recorded 3 top-three placements, producing a top-three rate of 0.96%. While this is a small count, it indicates that AAG can appear in shortlist positions, even if rarely.

Where American Advisors Group (AAG) Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why is AAG's rank-one rate of 0.00% the most significant gap for reverse mortgage recommendations?
  • How does AAG's top-three rate compare to mid-tier competitors like Longbridge Financial and Mutual of Omaha Mortgage?
  • What do AAG's Gemini and Copilot weaknesses reveal about its recommendation visibility?

The most significant gap for AAG is its rank-one rate of 0.00%. Across 313 qualified observations, AAG was never the first recommendation. Finance of America Reverse holds a rank-one rate of 33.23%, and even Liberty Reverse Mortgage, which recorded no rank-one positions, maintains a higher top-three rate at 1.60%.

AAG's top-three rate of 0.96% places it near the bottom of the category, ahead of only HighTechLending and Open Mortgage. Longbridge Financial holds a top-three rate of 36.10%, and Mutual of Omaha Mortgage holds 26.52%. The gap between AAG and the mid-tier brands is substantial.

The brand's presence on Gemini is a clear weakness. AAG recorded zero positive mentions on Gemini and only neutral visibility, with a sentiment score of 0.0. This means that when Gemini surfaces AAG, it does so as context rather than as a recommendation. Competitors like Longbridge Financial recorded a 32.4% top-three rate on Gemini, and Finance of America Reverse recorded a 32.4% rank-one rate on the same platform.

Copilot recorded 2 negative mentions for AAG, the only negative sentiment recorded for the brand across any platform. The brand's net sentiment on Copilot was 0.1667, the lowest platform-level sentiment score for AAG. This suggests that Copilot may surface cautionary or comparative context when AAG appears.

AAG's average recommended rank of 4.5556 places it outside the top three positions that typically drive buyer consideration. Even when the brand receives a valid recommendation, it is rarely placed in a position that would influence a buyer shortlist.

Biggest Opportunity

Questions This Section Answers

  • How can AAG convert its 7.03% raw mention presence into valid recommendations for reverse mortgage queries?
  • Which platforms should AAG prioritize to improve its mention-to-recommendation conversion rate?
  • What public evidence layer does AAG need to strengthen to shift from context to shortlist on AI platforms?

AAG's clearest path from reference to recommendation lies in converting its existing 7.03% raw mention presence into valid recommendations. The brand already appears in AI-generated responses. The gap is that those appearances do not convert into shortlist positions. The benchmark shows that AAG's mention-to-recommendation conversion rate is 45.5%, compared to Longbridge Financial's 82.3% and Finance of America Reverse's 78.0%.

The highest-priority opportunity is to strengthen the public evidence layer that AI systems retrieve when forming recommendations. AAG's presence on Gemini and Copilot is weak, and its rank-one rate is zero. Building citation architecture that supports recommendation-stage visibility on those platforms could shift the brand from context to shortlist.

Competitive Landscape

Questions This Section Answers

  • Where does AAG rank among the ten tracked reverse mortgage brands?
  • How do AAG's top-three and rank-one rates compare to the category leaders?
  • What does the competitive table show about AAG's position relative to other lenders?

Guild Mortgage leads the September 2026 reverse mortgage category in valid recommendation coverage at 43.5%, followed by Finance of America Reverse at 39.6% and Longbridge Financial at 38.7%. American Advisors Group (AAG) holds 3.19% coverage, placing it eighth among ten tracked brands.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Finance of America Reverse

39.62%

33.23%

1.1935

0.7987

Longbridge Financial

36.10%

2.24%

2.2857

0.8435

Mutual of Omaha Mortgage

26.52%

2.56%

2.82

0.8443

Fairway Independent Mortgage

7.99%

0.64%

4.0706

0.8636

Guild Mortgage

7.35%

1.28%

4.5769

0.838

All Reverse Mortgage

5.43%

2.24%

3.4

0.4932

Liberty Reverse Mortgage

1.60%

0.00%

4

0.9231

American Advisors Group (AAG)

0.96%

0.00%

4.5556

0.4091

Open Mortgage

0.32%

0.00%

3

1.0

HighTechLending

0.00%

0.00%

4.6667

1.0

Average recommended rank covers rank-eligible recommendations only.

AAG's position in the table reflects its minimal top-three presence and complete absence from rank-one positions. The brand's sentiment score of 0.4091 is the lowest among all tracked brands, indicating weaker framing quality when AAG does appear.

Prompt Evidence

AI Mode / Best Reverse Mortgage Lenders & Companies Prompt: "What are the top 10 mortgage companies?" Result: AAG received a valid recommendation but was placed outside the top three positions, contributing to its average recommended rank of 4.5556.

Gemini / Best Reverse Mortgage Lenders & Companies Prompt: "reverse mortgage lenders" Result: AAG appeared only as neutral context with no positive visibility or valid recommendation credit on this platform.

Copilot / Best Reverse Mortgage Lenders & Companies Prompt: "best reverse mortgage company" Result: AAG received a negative mention on Copilot, the only negative sentiment recorded for the brand across any platform.

ChatGPT / Best Reverse Mortgage Lenders & Companies Prompt: "reverse mortgage companies" Result: AAG received a valid recommendation with a rank position that contributed to its overall coverage of 3.19%.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map every prompt where AAG appears, where competitors appear instead, and where the brand is absent entirely across all six tracked platforms.

Phase 2: Recommendation Readiness Plan Identify the specific gaps between AAG's mention presence and recommendation conversion, prioritizing platforms like Gemini and Copilot where the brand is weakest.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly addresses the high-intent prompts where AAG is currently visible but not recommended, strengthening the brand's position in AI-generated responses.

Phase 4: Citation / Authority Layer Development Build the public evidence layer that AI systems retrieve when forming recommendations, focusing on sources that support shortlist eligibility for reverse mortgage queries.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track AAG's progress against the benchmark, measuring whether presence converts to recommendation and whether rank-one positions begin to appear.

Why This Matters

AI-generated recommendations are becoming the first stop for buyers researching reverse mortgage options. When a buyer asks an AI system for the best reverse mortgage lenders, the brands that appear in the shortlist shape the consideration set before any direct research begins. AAG's current position means the brand is largely absent from that shortlist.

Presence alone is not enough. AAG appears in 7.03% of qualified observations but receives a valid recommendation in only 3.19%. The brand is visible as context but not chosen as an option. Correcting this requires targeted work on the prompt, page, and citation layers that AI systems use to form recommendations. The next move is not broader visibility. It is recommendation conversion.

Core Metrics

Metric

Value

Mentions

22

Valid recommendations

10

Top 3 recommendation count

3

Rank #1 recommendation count

0

Average recommended rank

4.5556

Positive mentions

11

Neutral mentions

9

Negative mentions

2

Raw mention presence rate

7.03%

Valid recommendation coverage

3.19%

Top 3 recommendation rate

0.96%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.4091

Strongest cluster by recommendation behavior

Best Reverse Mortgage Lenders & Companies

Strongest platform by recommendation behavior

AI Mode

Sentiment Score

Questions This Section Answers

  • Why does AAG's net sentiment score of 0.4091 matter more than its total mention count?
  • How do neutral and negative mentions affect AAG's AI visibility quality?

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

For American Advisors Group (AAG) in September 2026: (11 × 1 + 9 × 0 + 2 × -1) / 22 = 9 / 22 = 0.4091

This score matters because unclassified mention counts are misleading. A brand that appears frequently but is framed negatively or neutrally is not in the same position as a brand that appears less often but is consistently recommended. 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.

Counting all mentions as wins is bad measurement. AAG's 22 mentions include 9 neutral references and 2 negative mentions. Only 11 mentions were positive. Classified sentiment is required before interpreting AI visibility. AAG's net sentiment score of 0.4091 is the lowest among all tracked brands with meaningful presence, indicating that the brand's framing quality in AI-generated responses is weaker than competitors.

Sentiment by Platform

Questions This Section Answers

  • Which platforms show AAG with only neutral or negative sentiment?
  • Where does AAG show the strongest public recommendation signal with a perfect sentiment score?
  • What does AAG's sentiment profile on Copilot and Gemini indicate for its brand framing?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

1

1

0

0

1.0

Positive, but sample too small

Copilot

6

3

1

2

0.1667

Negative framing present

Gemini

6

0

6

0

0.0

Present as context, not recommendation

Perplexity

2

2

0

0

1.0

Positive, but sample too small

AI Overviews

3

1

2

0

0.3333

Present as context, not recommendation

AI Mode

4

4

0

0

1.0

Strongest public recommendation signal

Methodology

  1. This report is a benchmark-based analysis of American Advisors Group (AAG) within the reverse mortgage category, using data from the LLM Authority Index AI Market Discovery Index for September 2026.
  2. The reporting window is September 2026, with comparison data from July 2026 and August 2026 where available.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The benchmark analyzed 313 qualified observations from a raw collection of 771 prompt-surface observations and 484 unique questions.
  5. The competitor universe includes ten tracked brands: 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. One public high-intent cluster was used: Best Reverse Mortgage Lenders & Companies.
  7. Stage 0 extraction retained the query, AI or search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
  8. A mention is defined as any appearance of the brand in a qualified observation, regardless of whether the brand is recommended.
  9. A valid recommendation is defined as a positive recommendation with a rank position of 1 through 10, as marked by the dataset.
  10. The average recommended rank covers rank-eligible recommendations only. AAG's average rank of 4.5556 is based on 9 rank-eligible recommendations.
  11. The benchmark does not measure market share, sales attribution, organic-search ranking, social mention volume, private or sponsored channels, or causality from metric movement alone.
  12. Small-count movements for AAG should be read with absolute counts in mind. The brand's 10 valid recommendations and 22 total mentions represent a small base.

See Where Your Brand Stands in AI Recommendations

The public benchmark shows where American Advisors Group (AAG) appears in AI-generated recommendations for reverse mortgage queries. A company-level AI visibility audit maps the specific prompts, platforms, and competitor displacements that explain why the brand is visible but under-recommended. Understanding where recommendations are formed is the first step toward building a shortlist presence that converts.

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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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