CiteWorks Studio

Select Auto Protect AI Market Strategy Report - Auto Warranty

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • Select Auto Protect appeared in just 1 of 679 qualified AI observations, for a raw mention presence rate of 0.15%.
  • The brand recorded zero valid recommendations, zero top-three placements, and zero rank-one placements across six tracked platforms.
  • Its only appearance was a positive Perplexity mention, but it did not convert into recommendation-stage visibility.
  • The main gap is a lack of retrievable public evidence, including owned content and third-party citations that AI systems can reference.

Answer Capsule

Select Auto Protect holds virtually no presence in AI-generated auto warranty recommendations as of September 2026, appearing in only 0.15% of qualified observations across six AI platforms. The brand recorded zero valid recommendations, zero top-three placements, and zero rank-one placements, placing it in the bottom tier alongside AutoProtect USA and Concord Auto Protect. Its single mention carried positive framing, but that isolated reference did not convert into any recommendation-stage visibility. The clearest opportunity lies in building a foundational public evidence layer that gives AI systems retrievable, citable material before any recommendation conversion can occur.

Who This Report Is For

This report is for marketing, growth, and executive teams at Select Auto Protect responsible for understanding why the brand is absent from AI-generated auto warranty recommendations and what it would take to become a visible option in AI-led discovery.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Select Auto Protect

Category / market studied

Auto Warranty

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1

AI observations analyzed

679

Competitors tracked

12

Executive Summary

Select Auto Protect is effectively invisible in AI-generated auto warranty recommendations. The September 2026 benchmark shows the brand present in just 1 of 679 qualified observations, a raw mention presence rate of 0.15%. That single mention was positive, but it produced no valid recommendation, no top-three placement, and no rank-one placement. The brand holds zero recommendation coverage across every tracked platform.

The category context makes this absence more significant. AI systems are now producing recommendation-shaped answers in 33.3% of qualified observations, up from 12.7% in May 2026, and valid recommendation shortlists appear in 83.2% of observations. Buyers asking AI systems which auto warranty provider to choose are receiving structured recommendations, and Select Auto Protect is not part of that conversation.

The strongest cluster for the category is Best Extended Car Warranty & Top Auto Protection Plans, which captured all 679 qualified observations in September 2026. Select Auto Protect has no presence in this cluster. The brand also has no presence in the pricing and value or multi-brand comparison clusters, which recorded zero qualified observations in this public series.

The clearest platform signal is the single positive mention on Perplexity, the only surface where the brand surfaced at all. The clearest gap is the absence of any valid recommendation coverage across ChatGPT, Copilot, Gemini, AI Overviews, and AI Mode, where the brand did not appear even once.

What Select Auto Protect Is Winning

Select Auto Protect has one narrow but meaningful signal in the September 2026 data. The brand's single mention on Perplexity carried positive framing, giving it a net sentiment score of 1.0 among its mentions. This indicates that when the brand does surface, it is not being framed negatively or as a cautionary example.

That is the extent of the positive evidence. The brand has no valid recommendations, no top-three placements, no rank-one placements, and no presence on five of the six tracked platforms. The positive mention is a starting point, not a competitive position.

Where Select Auto Protect Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Which platforms show the clearest visibility gaps for Select Auto Protect?
  • How does Select Auto Protect's recommendation coverage compare with competitors like Endurance and CarShield?

Select Auto Protect's most significant gap is total absence from recommendation-shaped answers. The brand appeared in 1 of 679 qualified observations, and that appearance did not convert into a recommendation. Every other tracked brand with any meaningful presence outperformed Select Auto Protect on valid recommendation coverage.

The competitive displacement is stark. Endurance leads the category with 84.0% valid recommendation coverage and appears first in 77.8% of observations. CarShield holds 75.0% coverage with a 63.5% top-three rate. CARCHEX holds 73.2% coverage. Even mid-tier brands like Olive at 45.7% and American Dream Auto Protect at 20.5% have established recommendation presence. Select Auto Protect sits at 0.0% alongside AutoProtect USA and Concord Auto Protect, brands with no presence in any qualified response.

The platform gap is equally clear. Select Auto Protect has no presence on ChatGPT, Copilot, Gemini, AI Overviews, or AI Mode. The single Perplexity mention does not constitute a platform strategy. The brand is absent from the surfaces where buyers are most likely to receive auto warranty recommendations.

Biggest Opportunity

Questions This Section Answers

  • What should Select Auto Protect build first to become visible in AI-generated auto warranty recommendations?

The clearest opportunity for Select Auto Protect is building a foundational public evidence layer that gives AI systems retrievable, citable material about the brand. The brand cannot be recommended if AI systems have nothing to retrieve and synthesize. This means developing owned content that answers high-intent questions about coverage options, plan structures, and provider comparisons, then supporting that content with external citations and references that AI systems can draw upon.

The category's recommendation-shaped answer share has grown from 12.7% to 33.3% since May 2026, and valid recommendation shortlists now appear in 83.2% of observations. AI systems are actively constructing provider shortlists, and they are doing so from the public evidence available to them. Select Auto Protect currently provides no such evidence.

Competitive Landscape

Questions This Section Answers

  • Which auto warranty providers hold the strongest recommendation-stage positions?
  • Where does Select Auto Protect sit relative to the rest of the tracked competitive set?

Endurance, CarShield, and CARCHEX hold the recommendation-stage strength in the auto warranty category, with Endurance leading at 84.0% valid recommendation coverage. Select Auto Protect sits at the bottom of the tracked competitive set with no recommendation presence.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Endurance

80.85%

77.76%

1.07

0.9499

CarShield

63.48%

0.00%

2.48

0.8788

CARCHEX

52.72%

0.59%

3.12

0.9146

Olive

15.91%

1.18%

3.63

0.9731

Omega Auto Care

6.19%

0.00%

3.99

0.8995

American Dream Auto Protect

6.04%

0.00%

4.13

0.9321

Toco Warranty

2.80%

0.15%

4.14

0.9726

Protect My Car

0.29%

0.00%

4.50

0.7500

everything breaks

0.15%

0.00%

6.00

0.9412

Select Auto Protect

0.00%

0.00%

1.0000

AutoProtect USA

0.00%

0.00%

0.0000

Concord Auto Protect

0.00%

0.00%

0.0000

Average recommended rank covers rank-eligible recommendations only.

The table shows Select Auto Protect in a cluster of brands with no recommendation presence. Its sentiment score of 1.0 reflects a single positive mention, not a meaningful pattern. The brands above it have converted presence into recommendation coverage, while Select Auto Protect has not yet established the presence needed to convert.

Prompt Evidence

Perplexity / Best Extended Car Warranty & Top Auto Protection Plans Prompt: "best extended car warranty" Result: Select Auto Protect received its only mention of the entire benchmark, a positive reference that did not lead to a valid recommendation.

ChatGPT / Best Extended Car Warranty & Top Auto Protection Plans Prompt: "Who is the best warranty provider?" Result: Select Auto Protect did not appear in any response, with recommendation coverage going to Endurance, CarShield, and CARCHEX.

Gemini / Best Extended Car Warranty & Top Auto Protection Plans Prompt: "best car warranty" Result: Select Auto Protect was absent from all 87 qualified observations on this platform, with no mention and no recommendation.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts where Select Auto Protect is absent and identify which competitors capture those recommendation slots.

Phase 2: Recommendation Readiness Plan Define the coverage, plan structure, and trust attributes that AI systems would need to reference before recommending the brand.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly answers high-intent questions about auto warranty coverage, plan options, and provider selection.

Phase 4: Citation / Authority Layer Development Build the external citation and reference footprint that gives AI systems retrievable, citable sources about Select Auto Protect.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track monthly changes in mention presence, valid recommendation coverage, and placement to measure progress from the zero baseline.

Why This Matters

Questions This Section Answers

  • Why is Select Auto Protect missing from the auto warranty shortlists AI systems now construct?

AI systems are now constructing auto warranty provider shortlists in 83.2% of qualified observations, and buyers are receiving those recommendations at the decision moment. Select Auto Protect is not part of those shortlists because AI systems have no public evidence layer to retrieve about the brand.

Presence alone would not be enough. The brand needs to move from zero mentions to meaningful recommendation coverage, which requires the prompt, page, and citation layers to work together. The next move is building the evidence foundation that makes Select Auto Protect a retrievable, referenceable option in AI-generated auto warranty recommendations.

Core Metrics

Metric

Value

Mentions

1

Valid recommendations

0

Top 3 recommendation count

0

Rank #1 recommendation count

0

Average recommended rank

N/A

Positive mentions

1

Neutral mentions

0

Negative mentions

0

Raw mention presence rate

0.15%

Valid recommendation coverage

0.00%

Top 3 recommendation rate

0.00%

Rank #1 recommendation rate

0.00%

Net sentiment score

1.0000

Strongest cluster by recommendation behavior

None

Strongest platform by recommendation behavior

Perplexity

Sentiment Score

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

For Select Auto Protect, the calculation is (1 × 1 + 0 × 0 + 0 × -1) / 1 = 1.0. This score reflects a single positive mention and should not be interpreted as a meaningful sentiment pattern.

Classified sentiment 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, and for Select Auto Protect, the sample size is too small to support any strategic conclusion.

Sentiment by Platform

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

1

1

0

0

1.0000

Positive, but sample too small

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. This report analyzes Select Auto Protect's AI visibility and recommendation performance within the Auto Warranty vertical using the LLM Authority Index AI Market Discovery benchmark for September 2026.
  2. The reporting window covers September 2026, with the May 2026 baseline used for movement analysis where applicable.
  3. Six canonical AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The benchmark began with 800 source prompt-surface observations, of which 780 were relevant and 20 were irrelevant, producing 679 qualified observations after removing 101 reserved observations.
  5. The competitor universe includes 12 tracked brands: American Dream Auto Protect, AutoProtect USA, CARCHEX, CarShield, Concord Auto Protect, Endurance, everything breaks, Olive, Omega Auto Care, Protect My Car, Select Auto Protect, and Toco Warranty.
  6. All 679 qualified observations in September 2026 fell into the Brand Recommendation cluster. No qualified observations were recorded in the Pricing & Value or Multi-Brand Comparison clusters.
  7. Stage 0 extraction captured prompt-level observations including the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
  8. A mention is defined as any qualified observation where the brand appears at all, regardless of framing or recommendation status.
  9. A valid recommendation is defined as a recommendation-shaped answer that includes a valid, actionable recommendation for the brand.
  10. Brand-level percentages use the 679 qualified observations as the public denominator, not the 800 raw prompt-surface observations.
  11. Limitations: The public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone. Small-count brands like Select Auto Protect require extreme caution in interpreting percentage movements. The May 2026 baseline used a different collection funnel than subsequent months.

Get Your AI Visibility Audit

The public benchmark shows that Select Auto Protect holds no recommendation presence in AI-generated auto warranty answers. A company-level AI visibility audit can identify which prompts, competitors, and evidence sources would need to shift for the brand to become a visible, recommendable option in AI-led discovery.

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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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