CiteWorks Studio

Old Republic Home Protection AI Market Strategy Report - Homeowners Protection

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • Old Republic Home Protection appeared in 22.73% of qualified observations but reached a top-three recommendation rate of only 8.09%.
  • The brand’s sentiment profile was exceptionally strong, with 159 positive mentions, 4 neutral mentions, and no negative mentions.
  • Perplexity was its strongest platform, delivering 39.36% valid recommendation coverage and a 17.02% top-three rate.
  • The biggest gap was on Gemini, where the brand appeared in just 3.23% of observations, limiting overall recommendation visibility.

Answer Capsule

Old Republic Home Protection holds a modest but stable position in AI-generated home warranty recommendations within the Homeowners Protection category, with valid recommendation coverage of 20.64% in September 2026. The brand appears in 22.73% of qualified observations but converts that presence into a top-three placement only 8.09% of the time, indicating visibility without strong recommendation positioning. Its clearest strength is an exceptionally positive framing profile, with a net sentiment score of 0.9755 and no negative mentions recorded. The clearest opportunity lies in converting its positive reference base into higher recommendation placement, particularly against competitors like Cinch Home Services and AFC Home Warranty that are capturing more top-tier slots.

Who This Report Is For

This report is for marketing, growth, and strategy leaders at home warranty and homeowners protection providers evaluating how AI-generated recommendations are shaping provider selection in the category.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Old Republic Home Protection

Category / market studied

Homeowners Protection

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1

AI observations analyzed

717

Competitors tracked

10

Executive Summary

Old Republic Home Protection holds a visible but under-recommended position in the Homeowners Protection benchmark. The brand appears in 22.73% of qualified observations, yet converts that presence into valid recommendations only 20.64% of the time. This conversion gap signals that the brand is frequently mentioned without being placed on the buyer shortlist.

The benchmark shows Old Republic Home Protection recorded 163 total mentions in September 2026, with 159 positive mentions, 4 neutral mentions, and zero negative mentions. This positive framing profile is among the strongest in the category, but it has not translated into competitive recommendation placement. The brand's top-three rate of 8.09% and rank-one rate of 1.67% place it in the lower tier of the tracked competitor set.

The strongest cluster for Old Republic Home Protection is the Brand Recommendation cluster, which captures all 717 qualified observations in the current public series. The brand's weakest signal is its inability to secure top-tier placement, with an average recommended rank of 3.85 when it does appear in rank-eligible positions.

Across platforms, Old Republic Home Protection shows its strongest recommendation behavior on Perplexity, where it achieves a 39.36% valid recommendation coverage and a 17.02% top-three rate. The clearest platform gap is on Gemini, where the brand appears in only 3.23% of observations and achieves minimal recommendation coverage.

What Old Republic Home Protection Is Winning

Old Republic Home Protection's clearest evidence-backed win is its sentiment profile. The brand recorded a net sentiment score of 0.9755 across 163 mentions, with 159 positive mentions and zero negative mentions. This is the strongest sentiment position among brands with meaningful presence in the category, indicating that when AI systems reference the brand, they frame it favorably.

The brand also shows a meaningful pocket of strength on Perplexity. On that platform, Old Republic Home Protection achieves a 39.36% valid recommendation coverage rate and a 17.02% top-three rate, both well above its overall benchmark figures. This suggests the brand has a platform-specific recommendation foothold that could be expanded.

Old Republic Home Protection also maintains a stable coverage trajectory. The brand moved from 22.4% valid recommendation coverage in July 2026 to 20.6% in September 2026, a modest decline of 1.8 points that is less severe than several competitors experienced over the same period.

Where Old Republic Home Protection Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does Old Republic Home Protection appear in AI answers more often than it is placed in recommendation shortlists?
  • Which competitors are displacing Old Republic Home Protection from top-tier placement?
  • Where is Old Republic Home Protection's platform-specific absence most damaging?

The most significant gap for Old Republic Home Protection is the conversion of presence into recommendation placement. The brand appears in 22.73% of qualified observations but achieves a top-three rate of only 8.09%. This means the brand is frequently mentioned as context or as a secondary option, but rarely positioned as a leading recommendation.

Competitor displacement is most visible against Cinch Home Services and AFC Home Warranty. Cinch Home Services reached 57.9% valid recommendation coverage in September 2026 with a 37.24% top-three rate, while AFC Home Warranty reached 41.0% coverage with a 17.57% top-three rate. Both brands have converted rising presence into meaningful shortlist placement, while Old Republic Home Protection has not achieved comparable conversion.

The platform gap is clearest on Gemini. Old Republic Home Protection appears in only 3.23% of Gemini observations and achieves a 3.23% valid recommendation coverage rate, compared to category leader American Home Shield, which appears in 100% of Gemini observations with 94.62% coverage. This near-absence on a major AI surface limits the brand's overall recommendation footprint.

Biggest Opportunity

The clearest opportunity for Old Republic Home Protection is converting its exceptionally positive framing into higher recommendation placement within the Brand Recommendation cluster. The brand already earns favorable treatment when mentioned, with a net sentiment score of 0.9755 and no negative framing. The gap is not in how the brand is described, but in how often it is positioned as a top-tier choice.

The path forward is to strengthen the signals that lead AI systems to place the brand higher in recommendation shortlists. This means building the public evidence layer that supports specific recommendation claims, such as coverage options, service quality, and value comparisons, so that AI systems have the source material to position Old Republic Home Protection alongside or ahead of competitors like Cinch Home Services and AFC Home Warranty.

Competitive Landscape

Questions This Section Answers

  • Where does Old Republic Home Protection rank among tracked home warranty competitors by top-three recommendation rate?
  • How does Old Republic Home Protection's recommendation placement compare with its sentiment strength?

American Home Shield holds dominant recommendation-stage strength in the Homeowners Protection category, with Liberty Home Guard in second position. Old Republic Home Protection sits in the lower tier of the tracked competitor set, ahead of only 2-10 Home Buyers Warranty, American Residential Warranty, and HomeServe in valid recommendation coverage.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

American Home Shield

84.80%

59.00%

1.40

0.9169

Liberty Home Guard

53.97%

13.25%

2.76

0.9249

Cinch Home Services

37.24%

4.60%

3.07

0.9501

Choice Home Warranty

22.87%

1.26%

3.40

0.8436

First American Home Warranty

18.97%

1.67%

3.57

0.8663

AFC Home Warranty

17.57%

4.74%

3.49

0.9254

Old Republic Home Protection

8.09%

1.67%

3.85

0.9755

2-10 Home Buyers Warranty

5.16%

0.70%

4.19

0.8355

American Residential Warranty

0.98%

0.14%

4.57

1.0000

HomeServe

0.00%

0.00%

5.70

0.9286

Average recommended rank covers rank-eligible recommendations only.

The table shows Old Republic Home Protection positioned ninth of ten brands by top-three rate, despite holding the second-strongest sentiment score in the category. The brand's positive framing is not translating into the recommendation placement achieved by brands with comparable or weaker sentiment profiles.

Prompt Evidence

Questions This Section Answers

  • How does Old Republic Home Protection's recommendation coverage differ across AI platforms for the Brand Recommendation prompt?

Perplexity / Brand Recommendation Prompt: "What is the best home warranty provider?" Result: Old Republic Home Protection appears in 46.81% of Perplexity observations and achieves its strongest platform-level recommendation coverage at 39.36%.

Gemini / Brand Recommendation Prompt: "Which is the highest rated home warranty company?" Result: Old Republic Home Protection appears in only 3.23% of Gemini observations, a near-absence that limits exposure on this surface.

ChatGPT / Brand Recommendation Prompt: "What company is the best home warranty company?" Result: Old Republic Home Protection appears in 26.74% of ChatGPT observations with a 23.26% valid recommendation coverage rate, showing moderate presence on this platform.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts where Old Republic Home Protection is mentioned but not recommended, identifying which competitor gains placement when the brand is displaced.

Phase 2: Recommendation Readiness Plan Build the answer architecture that gives AI systems clear, citable reasons to position Old Republic Home Protection higher in recommendation shortlists.

Phase 3: Owned Answer Layer Buildout Develop owned content that addresses coverage options, service quality, and value comparisons in language aligned with high-intent buyer prompts.

Phase 4: Citation / Authority Layer Development Strengthen the external source footprint that AI systems can retrieve and synthesize when forming home warranty recommendations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track whether improvements in the evidence layer convert into higher top-three and rank-one placement across platforms.

Why This Matters

AI-generated recommendations are becoming the default starting point for homeowners evaluating protection plans. When a buyer asks which home warranty company to choose, the brands that appear in the top three of that answer capture the consideration set, while brands mentioned only as context are less likely to enter the shortlist.

Old Republic Home Protection has a positive framing foundation that most competitors lack, but positive mentions without recommendation placement do not move buyer choice. The next move is targeted correction of the prompt, page, and citation layers so that the brand's favorable treatment converts into the top-tier positioning that drives selection.

Core Metrics

Metric

Value

Mentions

163

Valid recommendations

148

Top 3 recommendation count

58

Rank #1 recommendation count

12

Average recommended rank

3.85

Positive mentions

159

Neutral mentions

4

Negative mentions

0

Raw mention presence rate

22.73%

Valid recommendation coverage

20.64%

Top 3 recommendation rate

8.09%

Rank #1 recommendation rate

1.67%

Net sentiment score

0.9755

Strongest cluster by recommendation behavior

Brand Recommendation

Strongest platform by recommendation behavior

Perplexity

Sentiment Score

Questions This Section Answers

  • How is the net sentiment score calculated for Old Republic Home Protection?
  • Why is classified sentiment necessary before interpreting AI visibility?

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

For Old Republic Home Protection, this calculation is (159 × 1 + 4 × 0 + 0 × -1) / 163, producing a net sentiment score of 0.9755.

This matters because unclassified mention counts are misleading. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because a brand can appear frequently yet be framed in ways that do not drive selection.

Sentiment by Platform

Questions This Section Answers

  • Which platforms frame Old Republic Home Protection as a recommendation rather than background context?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

23

22

1

0

0.9565

Present as recommendation, not leader

Copilot

22

22

0

0

1.0000

Positive, but sample too small

Gemini

3

3

0

0

1.0000

No meaningful public presence

Google AI Mode

37

34

3

0

0.9189

Present as context, not recommendation

Google AI Overviews

34

34

0

0

1.0000

Positive, but limited placement

Perplexity

44

44

0

0

1.0000

Strongest public recommendation signal

Methodology

  1. This report is based on the LLM Authority Index AI Market Discovery Index for the Homeowners Protection vertical, covering the September 2026 measurement period.
  2. The benchmark tracked 800 source prompt-surface observations in September 2026, producing 717 qualified benchmark observations after qualification stages.
  3. Six canonical AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews.
  4. The analysis includes 717 qualified observations and 391 unique questions across the tracked surfaces.
  5. The competitor universe includes 10 tracked brands: American Home Shield, Liberty Home Guard, Cinch Home Services, Choice Home Warranty, First American Home Warranty, AFC Home Warranty, Old Republic Home Protection, 2-10 Home Buyers Warranty, American Residential Warranty, and HomeServe.
  6. The public benchmark currently measures the Brand Recommendation cluster, which captures all 717 qualified observations. No qualified observations were recorded in the Pricing & Value or Multi-Brand Comparison clusters.
  7. Stage 0 extraction captured prompt-level observations including query, surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
  8. A mention is defined as any qualified observation in which the brand appears by name, regardless of recommendation status.
  9. A valid recommendation is defined as a qualified observation in which the brand appears in a genuine recommendation shortlist, distinct from a neutral reference or comparison-anchor mention.
  10. Limitations: The public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, or causality from metric movement alone. Brands with fewer than 50 valid recommendations can shift on a handful of prompt-level changes.
  11. Source presence is evidence about the information environment and is not automatically proof that a source caused a recommendation outcome.

See How AI Is Recommending Your Brand

The benchmark shows where Old Republic Home Protection stands in AI-generated home warranty recommendations, but category-level percentages only reveal part of the picture. A company-level AI visibility audit maps the specific prompts, competitor displacements, and evidence sources that explain why the brand is mentioned favorably yet recommended infrequently.

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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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