LetsGetChecked AI Market Strategy Report - At-Home STD Tests

Answer Capsule

LetsGetChecked holds the third position in the STD Tests category with a monthly AI Authority Value of $337.5K, appearing in 49.6% of all AI responses across six platforms. The brand shows consistent recommendation performance with a valid recommendation coverage of 10.9% and an average recommended rank of 2.08, but 73.6% of its AI mentions carry neutral framing that does not convert into recommendation credit. LetsGetChecked performs strongest in the pricing and cost cluster, where its AI Authority Value reaches $173.8K and valid recommendation coverage climbs to 14.8%. The clearest gap is on ChatGPT and Perplexity, where recommendation coverage drops below 6%, creating significant displacement risk on two of the category's highest-volume discovery platforms. The biggest opportunity is converting existing neutral visibility on these platforms into ranked recommendations by strengthening the citation architecture and entity signals that determine shortlist eligibility.

Who This Report Is For

This report is for marketing, brand, and growth leaders at LetsGetChecked who need to understand how AI platforms are recommending the brand versus competitors in the at-home STD testing category and where the clearest gaps in recommendation-stage visibility exist.

Report Card

• Report type: AI Company Market Strategy Report
• Target company: LetsGetChecked
• Category / market studied: STD Tests
• Reporting month: June 2026
• AI platforms tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity
• Public high-intent clusters: 3 (Best At-Home Health Tests, At-Home Health Test Comparisons, At-Home Health Test Pricing & Cost)
• AI observations analyzed: 1,336
• Competitors tracked: 10

Executive Summary

LetsGetChecked holds the third position in the STD Tests category with a monthly AI Authority Value of $337.5K, capturing 1.8% of the total $18.67M monthly AI opportunity. The brand appears in 49.6% of all AI responses across six platforms, making it one of the most visible brands in the category. However, its valid recommendation coverage of 10.9% reveals a significant and commercially meaningful gap between being mentioned and being recommended.

Across 663 total appearances in the dataset, the brand receives 167 positive mentions, 488 neutral mentions, and 8 negative mentions. The net sentiment score of 0.24 is healthy relative to category competitors but masks a structural issue: nearly three in four mentions carry neutral framing that does not earn recommendation credit. LetsGetChecked achieves a top-3 recommendation rate of 8.5% and a rank-1 rate of 3.2%, with an average recommended rank of 2.08 when a recommendation does occur.

The brand performs strongest in the At-Home Health Test Pricing and Cost cluster, where its AI Authority Value reaches $173.8K and valid recommendation coverage climbs to 14.8%. This cluster carries the highest commercial intent multiplier of 1.5 and suggests AI systems associate LetsGetChecked with decision-stage buyer intent more reliably than with earlier discovery or comparison stages. On Copilot and Google AI Mode, recommendation coverage exceeds 14%, and these represent the brand's clearest platform strengths.

Nurx leads the category with a monthly AI Authority Value of $2.80M, followed by Everlywell at $936.5K. Together these two brands capture approximately 20% of the total modeled opportunity, creating a concentrated competitive dynamic. LetsGetChecked holds a clear advantage over the remaining seven competitors in the tracked universe but faces meaningful displacement risk from both leaders, particularly on ChatGPT and Perplexity where recommendation coverage drops sharply. The primary strategic challenge is not visibility; the brand is already present across nearly half of all AI responses. The challenge is converting that presence into ranked recommendation positions on the platforms where buyers begin their search.

What LetsGetChecked Is Winning

Strongest performance in the pricing and cost cluster. LetsGetChecked achieves its highest AI Authority Value of $173.8K in the At-Home Health Test Pricing and Cost cluster, which carries the highest commercial intent multiplier in the tracked dataset. Valid recommendation coverage reaches 14.8% in this cluster, significantly above the brand's overall average of 10.9%. The brand also achieves its highest rank-1 rate of 5.7% in this cluster. This indicates that AI systems reliably surface LetsGetChecked when buyers are ready to purchase and actively comparing costs, which is the highest-value moment in the discovery funnel.

Consistent recommendation performance on Copilot and Google AI Mode. On Copilot, LetsGetChecked achieves valid recommendation coverage of 16.4% with a top-3 rate of 14.8%. On Google AI Mode, coverage reaches 14.1% with a top-3 rate of 10.6%. These are the brand's two strongest platform performances and suggest the citation architecture and entity signals supporting LetsGetChecked align well with how these platforms retrieve and rank responses to health-category prompts.

Healthy net sentiment score relative to category leaders. LetsGetChecked's net sentiment score of 0.24 is competitive with both Nurx (0.26) and Everlywell (0.23). When the brand does appear in AI responses, the framing is generally positive rather than neutral or cautionary. The low negative mention count of 8 across 663 appearances indicates that the brand is not carrying reputational risk in the current AI response layer, which is a meaningful advantage in a health category where trust signals are closely scrutinized.

Rank-1 presence when recommendations form in pricing prompts. In the pricing and cost cluster, LetsGetChecked's rank-1 rate of 5.7% means the brand is not only appearing in recommendation lists but frequently appearing first. This is a commercially significant signal, as rank-1 positions carry a disproportionate share of buyer attention in AI-generated shortlists.

Where LetsGetChecked Has the Clearest AI Visibility Gaps

Weak recommendation conversion on ChatGPT and Perplexity. On ChatGPT, LetsGetChecked's valid recommendation coverage drops to 5.9%, far below its Copilot performance of 16.4%. On Perplexity, coverage falls further to 2.7%. These are two of the highest-volume AI discovery platforms in the category. Nurx achieves 7.1% coverage on ChatGPT and 9.5% on Perplexity, and Everlywell outperforms LetsGetChecked on both. The brand has 24.7% raw visibility on ChatGPT and 17% on Perplexity, meaning it is present in responses but not being advanced into shortlist positions. This is a structural recommendation gap, not a visibility gap.

High neutral visibility without recommendation conversion across all platforms. LetsGetChecked's 488 neutral mentions represent 73.6% of all AI appearances. Neutral mentions contribute to an assist value metric but do not earn recommendation credit and do not drive shortlist eligibility. This concentration of neutral framing suppresses the brand's AI Authority Value below what its raw visibility would suggest. Converting even a modest share of neutral mentions into positive, recommendation-quality framing would materially increase the brand's modeled opportunity capture.

Visibility without recommendation on Gemini. On Gemini, LetsGetChecked appears in 65.5% of responses, the brand's highest platform visibility rate across all tracked platforms. However, valid recommendation coverage on Gemini reaches only 11.5%, and the sentiment score of 0.16 is the lowest across all six platforms. The 2 negative mentions on Gemini, while small in absolute terms, are concentrated and may indicate that the sources Gemini draws from when assembling responses include content that frames LetsGetChecked with caution rather than endorsement. The gap between visibility and recommendation on Gemini is the widest of any platform in the dataset.

Underperformance in the comparison cluster. In the At-Home Health Test Comparisons cluster, LetsGetChecked's AI Authority Value drops to $72.8K, compared to $173.8K in the pricing cluster. Nurx leads this cluster with $837.4K, and Everlywell holds $220.8K. When buyers are actively comparing options side by side, LetsGetChecked is not positioning as strongly as in cost-focused prompts. This suggests that the structured evidence available to AI systems for direct brand comparisons may favor Nurx and Everlywell over LetsGetChecked.

Below-average coverage in the consideration cluster relative to visibility. In the Best At-Home Health Tests cluster, LetsGetChecked appears in 50.8% of responses but achieves only 11.8% valid recommendation coverage. Everlywell achieves 15.9% recommendation coverage with 65% visibility in the same cluster. The gap between how often LetsGetChecked is mentioned in consideration-stage prompts and how often it is actually recommended indicates that the brand's discovery-stage content and citation signals may not be structured in a way that earns ranked positions.

Biggest Opportunity

Convert neutral visibility into ranked recommendations on ChatGPT and Perplexity. These two platforms represent a combined monthly AI opportunity that accounts for a significant portion of the total $18.67M category value, and LetsGetChecked's recommendation coverage on both is below 6%. The brand already has raw visibility on these platforms; ChatGPT shows 24.7% mention presence and Perplexity shows 17%. The gap is not about being seen. It is about the citation architecture, entity signals, and structured evidence that these platforms use to determine which brands advance from mention to recommendation. Improving the quality and specificity of public sources that describe LetsGetChecked's clinical credentials, pricing transparency, and service scope in formats that ChatGPT and Perplexity can retrieve and validate could move the brand from a contextual reference to a shortlist-eligible recommendation on the two platforms where buyer discovery most frequently begins.

Prompt Evidence

ChatGPT / Best At-Home Health Tests Prompt: "What are the best at-home STD tests?" Result: LetsGetChecked appeared in the response but was not consistently ranked in top recommendation positions. Nurx and Everlywell were surfaced as preferred options more frequently in this cluster.

Copilot / At-Home Health Test Pricing and Cost Prompt: "Which at-home STD test is the most affordable?" Result: LetsGetChecked received a ranked recommendation, appearing in the top three with pricing context included. This reflects the brand's strongest prompt cluster and highest valid recommendation coverage.

Perplexity / At-Home Health Test Comparisons Prompt: "Compare LetsGetChecked vs Nurx for STD testing" Result: LetsGetChecked appeared in the response but was not ranked as the preferred option. Nurx was surfaced with stronger recommendation framing, consistent with Nurx's category-leading position in the comparison cluster.

Gemini / Best At-Home Health Tests Prompt: "What is the best at-home health test kit?" Result: LetsGetChecked appeared with neutral framing, listed among options without a clear ranked recommendation position. This reflects the widest platform-level gap between visibility and recommendation in the dataset.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map LetsGetChecked's full prompt-level presence across all six platforms, identifying exactly which prompts produce neutral mentions versus ranked recommendations and where Nurx and Everlywell are displacing the brand at the moment of recommendation.

Phase 2: Recommendation Readiness Plan Analyze the citation sources that ChatGPT and Perplexity are using to form recommendations, identifying specific gaps in structured evidence, entity signals, and pricing information that prevent LetsGetChecked from advancing into ranked positions on these platforms.

Phase 3: Owned Answer Layer Buildout Develop targeted content and entity architecture for the comparison and discovery clusters, ensuring that LetsGetChecked's service descriptions, pricing structure, and clinical credentials are structured for AI retrievability in formats these platforms recognize.

Phase 4: Citation and Authority Layer Development Strengthen the public evidence layer by improving third-party validation signals, review content, and editorial citations that AI systems use to validate recommendation quality, with a specific focus on sources that feed Gemini and Perplexity responses.

Phase 5: Monthly AI Visibility and Recommendation Tracking Establish ongoing monitoring of LetsGetChecked's recommendation coverage, rank position, and sentiment framing across all six platforms, with primary focus on ChatGPT and Perplexity recovery and secondary focus on closing the visibility-to-recommendation gap on Gemini.

Why This Matters

AI platforms are becoming the first stop for health service discovery. When a buyer asks ChatGPT or Perplexity for the best at-home STD test, the response functions as a shortlist. LetsGetChecked is present in nearly half of all AI responses across six platforms, which represents a meaningful baseline. However, appearing in a response and being recommended as the right choice are not the same thing, and the commercial outcome depends on recommendation credit, not mention count.

The gap between 663 mentions and 146 valid recommendations is the central challenge this report surfaces. With 488 neutral mentions concentrated on platforms where the brand is underperforming on recommendation conversion, LetsGetChecked has significant untapped potential. The brands that close the gap between mention and recommendation will capture disproportionate share as AI-led discovery continues to shape how buyers find and evaluate health services. The next move is not about generating more visibility. It is about correcting the prompt, page, and citation layers that determine whether AI systems recommend the brand or simply acknowledge it.

Core Metrics

• Mentions: 663
• Valid recommendations: 146
• Top 3 recommendation count: 114
• Rank 1 recommendation count: 43
• Average recommended rank: 2.08
• Positive mentions: 167
• Neutral mentions: 488
• Negative mentions: 8
• Raw mention presence rate: 49.6%
• Valid recommendation coverage: 10.9%
• Top 3 recommendation rate: 8.5%
• Rank 1 recommendation rate: 3.2%
• Strongest cluster by recommendation behavior: At-Home Health Test Pricing and Cost
• Strongest platform by recommendation behavior: Copilot

Sentiment Score

Sentiment Score = (167 x 1 + 488 x 0 + 8 x -1) / 663 = 159 / 663 = 0.24

This score means that for every 100 mentions, LetsGetChecked receives approximately 24 more positive than negative framings. The score is healthy relative to category leaders but masks a structural issue: 73.6% of all mentions carry neutral framing. Neutral mentions are not the same as endorsements. A brand that appears in a list without a recommendation signal, a brand that is mentioned as a comparison anchor, and a brand that is actively recommended to a buyer are three different commercial outcomes. Counting all three as equivalent visibility overstates a brand's actual position in the AI recommendation layer. Classified sentiment scoring separates these categories and produces a more accurate picture of where a brand stands in AI-led discovery.

Sentiment by Platform

Methodology

1. This report is based on the LLM Authority Index benchmark for the STD Tests category, interpreted by CiteWorks Studio. The LLM Authority Index is the source of record for all AI recommendation metrics in this analysis.
2. The reporting month is June 2026.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity.
4. A total of 1,336 observations were analyzed across three public high-intent prompt clusters.
5. The competitor universe includes 10 brands: Everlywell, Health Testing Centers, Labcorp OnDemand, LetsGetChecked, myLAB Box, Nurx, PlushCare, Priority STD Testing, QuestDirect, and STDcheck.com.
6. Three public clusters were used: Best At-Home Health Tests (consideration stage), At-Home Health Test Comparisons (evaluation stage), and At-Home Health Test Pricing and Cost (decision stage). The full LLM Authority Index analysis covers additional clusters not included in this public report.
7. Stage 0 refers to the raw extraction of AI-generated responses before classification, sentiment scoring, or ranking analysis is applied.
8. A mention means the company appeared in an AI-generated response, regardless of sentiment, framing, or rank position.
9. A valid recommendation is a positive, shortlist-quality recommendation that earns recommendation credit in the LLM Authority Index scoring framework. Neutral references, comparison-anchor appearances, and cautionary mentions do not qualify as valid recommendations.
10. Modeled AI Authority Value is a benchmark estimate based on recommendation frequency, rank position, cluster intent multiplier, and modeled category value. It is not revenue, pipeline, or booked demand. It should be interpreted as a relative competitive index, not a financial projection.
11. Unique prompt count is not available in the public version of this dataset. Observation counts reflect total scored AI responses across the tracked cluster and platform combinations.
12. This is a point-in-time benchmark. AI outputs can vary across sessions, model updates, and retrieval conditions. Results reflect the scoring window for June 2026 and should not be extrapolated as permanent platform behavior.

See How AI Is Recommending Your Brand

The benchmark shows where LetsGetChecked stands relative to the category. A company-specific analysis goes further, showing exactly which prompts produce neutral mentions versus ranked recommendations, which sources are shaping AI answers on ChatGPT and Perplexity, where competitors are being recommended instead, and what changes to the citation and content layer would improve recommendation-stage visibility. Contact CiteWorks Studio to map LetsGetChecked's AI recommendation footprint in detail.