CiteWorks Studio

How AI Search Is Recommending Homeowners Protection: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • American Home Shield led September 2026 recommendation coverage at 86.9% and stayed stable across the quarter.
  • Cinch Home Services posted the strongest current-month gain, rising to 57.9% with broader top-three inclusion.
  • AFC Home Warranty also improved, climbing to 41.0% through steady gains in presence and shortlist placement.
  • Liberty Home Guard and 2-10 Home Buyers Warranty both declined, with losses tied more to reduced top-three placement and presence than rank-one changes.

Executive Summary

American Home Shield holds the category lead at 86.9% valid recommendation coverage in September 2026, remaining stable against a near-perfect presence rate of 99.0%. The gap to the next brand, Liberty Home Guard at 76.0%, stands at 10.9 points, a gap that has widened over the quarter as Liberty Home Guard declined from its 81.0% baseline in July 2026 while American Home Shield held a stable course throughout: 87.2% in July, 85.7% in August, and 86.9% in September.

The category's strongest upward mover was Cinch Home Services, which rose 5.8 points from 52.1% in July 2026 to 57.9% in September 2026. This advance was concentrated in the current month, with a 6.2 point rise from August 2026 (51.7%) that exceeded normal month-to-month variation. The sharpest decliner was 2-10 Home Buyers Warranty, down 5.3 points from 22.5% to 17.2% over the same period, a significant decline that continued a two-month downward streak.

The broader market shows mixed movement, with AFC Home Warranty also posting a significant rise (up 6.1 points from 34.9% to 41.0%) while Liberty Home Guard declined a significant 5.0 points from 81.0% to 76.0% since July 2026.

Research scope: 800 prompts run across the tracked AI/search surfaces in both July and September 2026. July 2026 surfaced 389 unique questions, 800 brand or competitor mentions, 798 relevant prompts, 2 irrelevant prompts, and 631 qualified benchmark observations. September 2026 surfaced 391 unique questions, 800 brand or competitor mentions, 799 relevant prompts, 1 irrelevant prompt, and 717 qualified benchmark observations, across all six canonical AI surface families.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Sep 2026

0%25%50%75%100%Jul 2026Aug 2026Sep 2026
  • American Home Shield86.9%
  • Liberty Home Guard76.0%
  • Cinch Home Services57.9%
  • Choice Home Warranty43.8%
  • First American Home Warranty41.1%
  • AFC Home Warranty41.0%
  • Old Republic Home Protection20.6%
  • 2-10 Home Buyers Warranty17.2%
  • American Residential Warranty3.2%
  • HomeServe1.5%

Key Findings

Signal

September 2026 finding

Category leader

American Home Shield leads at 86.9% valid recommendation coverage, with a 10.9 point gap to second place

Largest riser

Cinch Home Services rose 5.8 points since July 2026 to 57.9%, with a significant 6.2 point rise in the current month

Second riser

AFC Home Warranty gained 6.1 points since July 2026 to reach 41.0% coverage

Largest decliner

2-10 Home Buyers Warranty fell 5.3 points to 17.2%, a significant two-month decline

Second decliner

Liberty Home Guard dropped 5.0 points to 76.0%, a significant decline since July 2026

Category state

Mixed: two significant risers and two significant decliners among tracked brands

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

Research stage

Jul 2026

Sep 2026

What it represents

Source prompt-surface observations collected

800

800

Total prompts run across the AI/search surface universe

Unique questions

389

391

Distinct questions after de-duplication

Brand / competitor mentions

800

800

Prompts that mentioned a tracked brand or competitor

Relevant prompts

798

799

Prompts relevant to the benchmark scope

Irrelevant prompts

2

1

Prompts that fell outside the benchmark scope

Qualified benchmark observations

631

717

Public denominator after qualification stages

Qualified surface breadth

6

6

Canonical AI surface families with qualified observations

Note on intermediate month: August 2026 qualified 659 observations from 418 unique questions, before the September run rose to 717.

Benchmark-Level Metrics

Metric

Jul 2026

Sep 2026

Change

Qualified observations

631

717

Up 86

Companies tracked

10

10

No change

Recommendation-shaped answer share

47.5%

43.9%

Down 3.6 points

Valid recommendation shortlist share

88.1%

88.0%

Down 0.1 points

Category leader by coverage

American Home Shield

American Home Shield

No change

AI Recommendation Trend

A Stable Leader With a Tightening Chase Pack

American Home Shield has held the leadership position across all three months with no significant movement, while the middle of the category has become more fluid with two brands rising and two falling.

Brand

Jul 2026

Sep 2026

Movement

Sep 2026 rank

American Home Shield

87.2%

86.9%

Down 0.3 points

1st

Liberty Home Guard

81.0%

76.0%

Down 5.0 points

2nd

Cinch Home Services

52.1%

57.9%

Up 5.8 points

3rd

Choice Home Warranty

46.8%

43.8%

Down 3.0 points

4th

First American Home Warranty

41.7%

41.1%

Down 0.6 points

5th

AFC Home Warranty

34.9%

41.0%

Up 6.1 points

6th

Old Republic Home Protection

22.4%

20.6%

Down 1.8 points

7th

2-10 Home Buyers Warranty

22.5%

17.2%

Down 5.3 points

8th

American Residential Warranty

4.9%

3.2%

Down 1.7 points

9th

HomeServe

2.7%

1.5%

Down 1.2 points

10th

Several brands exceeded normal month-to-month variation in September 2026. Cinch Home Services and AFC Home Warranty both posted significant gains, while 2-10 Home Buyers Warranty and Liberty Home Guard recorded significant declines. These moves were not the product of a single category-wide shift but reflected distinct movements concentrated in different segments of the market.

What Changed This Month

Cinch Home Services

Cinch Home Services rose from 52.1% in July 2026 to 57.9% in September 2026, a 5.8 point gain that registered as significant. The sharper story is the current month: coverage moved up 6.2 points from August 2026 (51.7%), a single-month jump that also exceeded the significance threshold.

The rise was supported by underlying metrics. Raw mention presence climbed 6.6 points from 57.7% to 64.3%, while top-three recommendation placement rose 8.8 points, from 28.4% to 37.2%. Rank-one placement moved slightly downward by 1.1 points to 4.6%, a modest shift by comparison, indicating the gain came from broader shortlist inclusion rather than from capturing the top spot.

The pattern here is one of deepening visibility across the recommendation set rather than seizing the top position. The distinction between presence, coverage, and top placement matters for interpreting this gain. Highest-priority diagnostic: which prompt categories drove the top-three gains, and which competitor lost placement when Cinch appeared higher.

AFC Home Warranty

AFC Home Warranty gained 6.1 points from 34.9% in July 2026 to 41.0% in September 2026, a significant rise that continued a two-month upward streak. The August increase of 3.3 points to 38.2% was followed by a further 2.8 point rise in September, a steadier climb than Cinch's single-month surge.

Raw mention presence rose 8.2 points, from 38.5% to 46.7%, and top-three placement advanced 5.4 points, from 12.2% to 17.6%. Rank-one placement rose 0.7 points to 4.7%, a smaller move by comparison.

AFC's growth pattern resembles Cinch's in that it is visible across presence and top-three metrics, while rank-one capture lags. The brand is becoming a more consistent part of the recommendation conversation rather than seizing the top position. Highest-priority diagnostic: which surfaces and question types account for the 8.2 point presence gain, and whether the pattern is driven by new sources citing AFC.

Liberty Home Guard

Liberty Home Guard declined from 81.0% in July 2026 to 76.0% in September 2026, a 5.0 point drop that registered as significant. This downward movement spanned both months, with August down 3.2 points and September down another 1.8 points.

The most consequential supporting move was in top-three recommendation placement, which fell 7.2 points, from 61.2% to 54.0%. Raw mention presence declined 3.2 points, from 90.5% to 87.3%, a smaller move by comparison, and rank-one placement slipped 1.4 points to 13.2%.

Liberty Home Guard remains firmly in second place at 76.0%, a full 18.1 points ahead of Cinch Home Services in third. But the erosion appears concentrated in how often the brand appears in the upper tier of recommendations, rather than in overall presence. The brand is still mentioned in most answers but is less often placed in the top three. Highest-priority diagnostic: whether the top-three loss tracks specific competitor gains, particularly Cinch and AFC, and which prompts show Liberty falling from the top tier.

2-10 Home Buyers Warranty

2-10 Home Buyers Warranty fell from 22.5% in July 2026 to 17.2% in September 2026, a 5.3 point decline that was significant. The brand's top-three placements fell to 37 in September 2026, down from 44 in July 2026.

Raw mention presence fell 5.1 points, from 26.3% to 21.2%, indicating the brand is surfacing in fewer answers overall. Top-three placement declined 1.8 points to 5.2%, and rank-one placement eased 0.2 points to 0.7%, both smaller moves by comparison. The September valid recommendation count was only 123, down from 142 in July.

The category observation here is a widening gap between 2-10 Home Buyers Warranty and the brands above it. The gap to AFC Home Warranty widened from 12.4 points in July to 23.8 points in September, and the gap to Cinch Home Services grew from 29.6 to 40.7 points over the same period. Highest-priority diagnostic: which prompt segments drove the presence loss, and whether the decline is tied to how AI systems describe or rank the brand relative to AFC and Cinch.

Buyer-Intent Interpretation

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Which brand AI systems recommend outright

Who gets named as the default answer

Pricing & Value

How AI frames cost, coverage value, and trade-offs

Who owns the value conversation

Multi-Brand Comparison

Head-to-head and side-by-side brand assessments

Who wins when brands are compared directly

All 717 qualified observations in September 2026 fell into the Brand Recommendation cluster, matching the pattern seen in July and August, when no observations were recorded in the Pricing & Value or Multi-Brand Comparison clusters. The public benchmark therefore answers which brands AI systems recommend outright, but it cannot yet speak to how AI frames pricing, value, or head-to-head comparisons among tracked brands. Those commercial questions remain open for company-level analysis.

Brand Opportunity Summary

Brand

Sep 2026 coverage

Current signal

Highest-priority diagnostic

2-10 Home Buyers Warranty

17.2%

Significant decline, presence down 5.1 points

Which prompts drove the presence loss

AFC Home Warranty

41.0%

Significant rise, presence up 8.2 points

Which new sources or surfaces cite AFC

American Home Shield

86.9%

Stable leader, rank-one up 7.5 points

What sustains the rank-one advantage

American Residential Warranty

3.2%

Low coverage, 23 valid recommendations

Which niche prompts surface the brand

Choice Home Warranty

43.8%

Stable coverage, rank-one down 3.5 points

Why rank-one capture is eroding

Cinch Home Services

57.9%

Significant single-month rise

Which prompts drove the top-three gain

First American Home Warranty

41.1%

Stable coverage, top-three up 4.9 points

Whether top-three gains convert to rank-one

HomeServe

1.5%

Declining presence, 11 valid recommendations

Which prompts still mention HomeServe

Liberty Home Guard

76.0%

Significant decline, top-three down 7.2 points

Which competitors take top-three slots

Old Republic Home Protection

20.6%

Stable, flat vs prior month

What keeps the brand out of the top three

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations covering query, surface, recommendation outcome, rank, sentiment, and citations where exposed. Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the LLM Authority Index AI Market Discovery research program.

Report-Specific Interpretation Notes

  • Small-count movement warrants caution; brands with fewer than 50 valid recommendations, such as HomeServe and American Residential Warranty, can shift on a handful of prompt-level changes.
  • The qualified denominator (717 in September 2026) differs from the raw collection universe (800 prompts); percentages reflect the qualified set only.
  • Directional analysis identifies movement worth investigating, but month-over-month change does not by itself establish cause.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

The aggregate percentages in this report point to questions that require a deeper look. Which high-intent prompts is a brand winning and which is it losing? When Cinch Home Services gains a top-three placement, which competitor loses that slot? What attributes do AI systems associate with Liberty Home Guard as its top-three placement declines? Which external sources are shaping the answers that drive these movements?

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It moves beyond the category view to the brand-level detail that explains why the numbers moved.

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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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