CiteWorks Studio

Old Republic Home Protection AI Market Strategy Report - Home Warranties

Mark HuntleyBy Mark HuntleyFounder and CEO
4 minutes read

On this report

Key Takeaways

  • Old Republic appears in 11.5% of AI responses but converts that visibility into valid recommendations in only 7.3% of observations.
  • The brand’s strongest platform signal is Google AI Overviews, where recommendation coverage reaches 15.5%.
  • ChatGPT shows the clearest gap, with Old Republic mentioned in 10.7% of responses but recommended in only 5.8%.
  • Zero negative mentions and a 0.784 sentiment score suggest the main issue is shortlist conversion, especially in comparison and pricing queries.

Answer Capsule

Old Republic Home Protection has a moderate presence in AI-generated home warranty responses but earns recommendation credit in only 7.3% of observations, revealing a significant gap between visibility and shortlist power. The brand appears in 11.5% of all AI responses across six platforms but converts that presence into valid recommendations at a rate well below the category leaders. Old Republic's strongest signal is on Google AI Overviews, where it achieves its highest recommendation coverage at 15.5%, and on Gemini, where it earns a perfect rank-one rate in a small sample. The clearest opportunity is converting its positive sentiment and narrow recommendation pockets into broader shortlist inclusion across all buyer stages.

Who This Report Is For

This report is for marketing, digital strategy, and competitive intelligence leaders at Old Republic Home Protection who need to understand how AI platforms are shaping buyer shortlists in the home warranty category and where the brand stands relative to competitors.

Report Card

  • Report type: AI Company Market Strategy Report
  • Target company: Old Republic Home Protection
  • Category / market studied: Home Warranties
  • Reporting month: June 2026
  • AI platforms tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity
  • Public high-intent clusters: 3 (Discovery & Evaluation, Comparison & Alternatives, Pricing & Cost Research)
  • AI observations analyzed: 1,335
  • Competitors tracked: 10

Executive Summary

Old Republic Home Protection appears in 11.5% of all AI responses across six platforms but earns a valid recommendation in only 7.3% of observations. This gap between presence and recommendation power is the defining characteristic of the brand's current AI visibility profile. The brand has 120 positive mentions, 33 neutral mentions, and zero negative mentions, giving it a net sentiment score of 0.784, which is among the stronger sentiment profiles in the category.

The strongest cluster for Old Republic is Home Warranty Discovery and Evaluation, where it achieves a 6.3% recommendation coverage rate and an average rank of 2.59 when recommended. The weakest cluster is Home Warranty Pricing and Cost Research, where recommendation coverage drops to 5.7%. The strongest platform signal is on Google AI Overviews, where Old Republic achieves a 15.5% recommendation coverage rate and a 3.3% rank-one rate. The clearest platform gap is on ChatGPT, where the brand appears in 10.7% of responses but earns recommendations in only 5.8% of observations.

The modeled monthly AI authority value for Old Republic Home Protection is $848,736, representing 2.2% of the total category opportunity of $39 million. This places the brand eighth out of ten tracked companies in captured recommendation value.

What Old Republic Home Protection Is Winning

Old Republic Home Protection has a clean sentiment profile with zero negative mentions across all 1,335 observations. This is a meaningful advantage in a category where several competitors carry negative framing risk. The net sentiment score of 0.784 indicates that when the brand is discussed in AI-accessible sources, the framing is predominantly positive.

On Gemini, Old Republic achieves a perfect recommendation record in a small but notable sample. The brand appears in 6 observations on Gemini, all of which are positive, and all 6 earn rank-one placement with an average rank of 1.0. This suggests that on this platform, the sources AI systems retrieve about Old Republic are strongly favorable.

On Google AI Overviews, Old Republic achieves its strongest platform-level performance with a 15.5% recommendation coverage rate and a 3.3% rank-one rate. The average rank of 2.70 on this platform indicates that when the brand is recommended, it tends to appear in the top three positions.

The brand also shows a higher rank-one rate than several competitors with greater overall presence. Old Republic's overall rank-one rate of 1.7% is higher than Select Home Warranty at 0.5% and comparable to 2-10 Home Buyers Warranty at 0.8%, despite lower raw mention presence than both.

Where Old Republic Home Protection Has the Clearest AI Visibility Gaps

The most significant gap is the conversion of presence into recommendation credit. Old Republic appears in 11.5% of all AI responses but earns a valid recommendation in only 7.3% of observations. This means that in roughly 4% of responses, the brand is visible to the buyer but not advanced as a shortlist option. While this gap is smaller than some competitors, it still represents missed commercial opportunity.

The comparison cluster is the weakest area in relative terms. In Home Warranty Comparison and Alternatives, Old Republic appears in 12.4% of responses but earns recommendations in only 9.5% of observations. The average rank of 3.02 in this cluster means that when the brand is recommended, it is often placed third or lower, reducing its visibility to buyers scanning the top of the shortlist.

On ChatGPT, the gap is most pronounced. Old Republic appears in 10.7% of responses on this platform but earns recommendations in only 5.8% of observations. The average rank of 3.23 on ChatGPT indicates that even when recommended, the brand is not appearing in the top positions.

American Home Shield, the category leader, appears in 68.2% of responses and earns recommendations in 48.7% of observations. Liberty Home Guard appears in 63.4% of responses and earns recommendations in 48.6% of observations. Old Republic's 7.3% recommendation coverage places it well behind these leaders and behind mid-tier competitors including First American Home Warranty at 24.3% and Choice Home Warranty at 19.3%.

Biggest Opportunity

The clearest path from reference to recommendation for Old Republic Home Protection is strengthening its citation architecture in the comparison and pricing clusters. The brand has positive sentiment and a clean framing profile, which is a strong foundation. The evidence suggests that AI systems can find Old Republic but do not have enough retrievable, positively framed source material to consistently advance it as a shortlist candidate, particularly when buyers are comparing providers or researching costs.

Improving the density of comparison content, editorial reviews, and pricing-related coverage that positions Old Republic as a recommended option could convert its existing positive sentiment into higher recommendation coverage. The pricing cluster carries the highest commercial intent multiplier at 1.5, making it the most valuable cluster to address first.

Prompt Evidence

Google AI Overviews / Discovery and Evaluation Prompt: "What are the best home warranty companies?" Result: Old Republic Home Protection appeared in the response but was not consistently recommended in the top three positions.

Gemini / Discovery and Evaluation Prompt: "Compare home warranty providers" Result: Old Republic Home Protection received a rank-one recommendation in a small number of observations, suggesting strong positive framing on this platform.

ChatGPT / Comparison and Alternatives Prompt: "Which home warranty company should I choose?" Result: Old Republic Home Protection was mentioned but rarely earned recommendation credit, indicating presence without shortlist inclusion.

Google AI Mode / Pricing and Cost Research Prompt: "How much does a home warranty cost?" Result: Old Republic Home Protection appeared in responses but with limited recommendation coverage in this high-intent cluster.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Old Republic's full recommendation footprint across all 10 buyer intent clusters to identify the specific prompts and platforms where the brand is present but not recommended.

Phase 2: Recommendation Readiness Plan Identify the citation sources that are shaping AI answers about Old Republic and determine which source types are missing or underweight compared to competitors earning higher recommendation credit.

Phase 3: Owned Answer Layer Buildout Develop owned content that positions Old Republic as a recommended option in comparison, pricing, and evaluation prompts, giving AI systems more retrievable and positively framed material.

Phase 4: Citation and Authority Layer Development Strengthen the public evidence layer through editorial coverage, review site presence, and comparison content that frames Old Republic consistently and favorably across the buyer journey.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track changes in recommendation coverage, rank position, and sentiment across platforms and clusters to measure progress and adjust strategy each month.

Why This Matters

Old Republic Home Protection has a clean reputation in AI-accessible sources, with zero negative mentions and a net sentiment score of 0.784. But in the home warranty category, positive sentiment alone does not earn shortlist placement. The brands that win recommendation credit are those with dense, retrievable, and positively framed source material across all buyer stages.

The modeled monthly AI opportunity value for the home warranty category is $39 million. Old Republic's current captured share is 2.2%. The gap between being mentioned and being recommended is the difference between being visible to buyers and being chosen by them. For a brand with Old Republic's positive framing, the next move is converting that sentiment into recommendation-stage visibility across the platforms and clusters where buyers are making decisions.

Core Metrics

  • Mentions: 153
  • Valid recommendations: 98
  • Top 3 recommendation count: 59
  • Rank #1 recommendation count: 22
  • Average recommended rank: 2.88
  • Positive mentions: 120
  • Neutral mentions: 33
  • Negative mentions: 0
  • Raw mention presence rate: 11.5%
  • Valid recommendation coverage: 7.3%
  • Top 3 recommendation rate: 4.4%
  • Rank #1 recommendation rate: 1.7%
  • Strongest cluster by recommendation behavior: Discovery and Evaluation (6.3% coverage)
  • Strongest platform by recommendation behavior: Google AI Overviews (15.5% coverage)

Sentiment Score

Sentiment Score = (120 positive x 1 + 33 neutral x 0 + 0 negative x -1) / 153 total mentions = 0.784

This score means that 78.4% of Old Republic's mentions in AI responses carry positive framing, with the remainder being neutral references. There are no negative mentions in the dataset. This is a strong sentiment profile that places Old Republic among the better-framed brands in the category.

Why this matters: Unclassified mention counts are misleading because they treat a cautionary mention and a positive recommendation as equivalent signals. 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 data points. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility in any commercially meaningful way.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

24

21

3

0

0.875

Present, but not recommendation-led

Copilot

40

30

10

0

0.750

Moderate presence, mixed recommendation conversion

Gemini

6

6

0

0

1.000

Strongest public recommendation signal

Google AI Mode

31

15

16

0

0.484

Present as context, not recommendation

Google AI Overviews

36

36

0

0

1.000

Strongest platform for recommendation coverage

Perplexity

16

12

4

0

0.750

Positive, but sample too small to draw firm conclusions

Methodology

  1. Market studied: Home warranties, including providers of residential home warranty plans, service contracts, and home protection plans in the United States.
  2. Brands tracked: American Home Shield, Liberty Home Guard, Cinch Home Services, First American Home Warranty, Choice Home Warranty, Select Home Warranty, 2-10 Home Buyers Warranty, Old Republic Home Protection, AFC Home Club, and ARW Home. This universe covers the largest national providers but is not a full market census.
  3. Data collection window: June 2026, with data generated on June 16, 2026.
  4. AI platforms tested: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity.
  5. Observation count: 1,335 total observations analyzed across all platforms and clusters. Individual prompt count was not available in the public version of this dataset.
  6. Prompt categories: Three public high-intent clusters were analyzed for this report: Best Home Warranty Discovery and Evaluation (consideration stage), Home Warranty Comparison and Alternatives (evaluation stage), and Home Warranty Pricing and Cost Research (decision stage). The full benchmark includes 10 clusters.
  7. Definition of a mention: A mention is recorded when the company appeared in an AI-generated response, regardless of sentiment, rank, or whether the company was advanced as a recommended option.
  8. Definition of a valid recommendation: A valid recommendation is a positive, shortlist-quality recommendation or ranked recommendation that earns recommendation credit in the dataset. Visibility and recommendation credit are treated as separate and non-interchangeable metrics throughout this report.
  9. Scoring and ranking metrics: This report uses valid recommendation coverage, top-three rate, rank-one rate, average rank, net sentiment score, modeled monthly AI authority value, and captured share of category AI opportunity. Modeled values are estimates based on commercial intent multipliers, buyer stage weights, and platform weights. They are not revenue figures.
  10. Limitations: This is a point-in-time benchmark. AI outputs change as models update and source content evolves. Modeled values are estimates, not revenue. This report covers 3 of 10 clusters included in the full benchmark. It is not a complete audit or a full market census. Company name normalization has been applied throughout. No taxonomy conflicts or entity naming conflicts were identified in the available data.

See How AI Is Recommending Your Brand

The benchmark shows where the home warranty category stands in June 2026. For Old Republic Home Protection, the more precise question is where your brand appears across all 10 clusters, which prompts are advancing competitors instead, which sources are shaping AI answers about your company, and what changes to the citation and content layer would move the brand from reference to recommendation. CiteWorks Studio provides an AI Visibility Audit that maps your full recommendation footprint, identifies competitor displacement patterns, and identifies the specific source and content gaps that are limiting shortlist inclusion.

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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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