LetsGetChecked AI Market Strategy Report - STD Tests

Answer Capsule

LetsGetChecked holds the third-strongest recommendation position in the STD Tests category, with 18.47% valid recommendation coverage in September 2026, behind myLAB Box at 21.66% and Everlywell at 20.70%. The brand is visible but under-recommended relative to its raw presence: it appears in 66.24% of qualified observations but converts only 18.47% into valid recommendation credit. Its clearest win is stable raw presence and a rank-one rate of 2.55%; its clearest weakness is a 16.3-point coverage decline since July 2026 and a rank-one rate far below the category leader. The clearest opportunity is closing the shortlist-conversion gap on high-intent home-testing prompts where the brand is already discussed but not selected.

Who This Report Is For

This report is for LetsGetChecked marketing, growth, and brand leaders, and for category strategists tracking how AI and search surfaces recommend at-home and lab-based STD testing services.

Report Card

Executive Summary

LetsGetChecked is visible but under-recommended in the STD Tests category. In September 2026 the brand appeared in 66.24% of qualified observations, yet earned valid recommendation credit in only 18.47% of them. That gap between raw mention presence and recommendation conversion is the defining feature of its position.

The brand ranks third by valid recommendation coverage at 18.47%, behind myLAB Box at 21.66% and Everlywell at 20.70%. It holds 58 valid recommendations and 39 top-three placements, with 8 rank-one placements. Its net sentiment score is 0.3702, with 77 positive mentions, 131 neutral mentions, and zero negative mentions across 208 present observations.

The strongest cluster for LetsGetChecked is C01, Best STD Tests and Top STI Testing Services, the only cluster with qualified observations in the September 2026 series. The brand's coverage, top-three rate, and rank-one rate all derive from this single consideration-stage cluster. The C02 comparison cluster and the C03 pricing cluster produced zero qualified observations in the public series, so the benchmark cannot yet show how the brand performs when buyers compare providers or weigh cost.

The strongest platform signal for LetsGetChecked is Google AI Overviews, where the brand holds 23.88% valid recommendation coverage and 16 valid recommendations, followed by Google AI Mode at 15.66% coverage and 13 valid recommendations. The clearest platform gap is Copilot, where the brand holds 17.54% coverage but zero rank-one placements, and Perplexity, where coverage falls to 5.88% with a single valid recommendation.

The clearest cluster gap is the absence of pricing and comparison coverage. The benchmark's own reporting notes that no pricing or comparison observations qualified in any of the three tracked months, leaving cost and head-to-head signals as a persistent blind spot for the entire category, LetsGetChecked included.

The most important movement in the series is decline. LetsGetChecked's valid recommendation coverage fell 16.3 points from 34.8% in July 2026 to 18.5% in September 2026, a decline the benchmark classifies as beyond normal month-to-month variation. Its valid recommendation count fell to 58 from 84 in August 2026. Raw presence, by contrast, held broadly steady, easing from 67.6% to 66.2%. The brand is still being discussed; it is simply being shortlisted less often.

What LetsGetChecked Is Winning

Questions This Section Answers

• Where does LetsGetChecked hold a measurable AI recommendation advantage in the STD Tests category?
• How does LetsGetChecked's sentiment profile compare with other tracked STD testing brands?

LetsGetChecked's clearest win is presence stability. Raw mention presence held at 66.24% in September 2026, essentially flat against July 2026, while several competitors lost both presence and recommendation credit. The brand remains a default reference point in AI-generated answers about STD testing.

Its second win is sentiment quality. Across 208 present observations, LetsGetChecked recorded 77 positive mentions, 131 neutral mentions, and zero negative mentions, producing a net sentiment score of 0.3702. No tracked brand in the category recorded a negative mention in September 2026, but LetsGetChecked's positive share of 24.52% is the third-highest in the tracked set.

Its third win is Google AI Overviews performance. On that surface the brand holds 23.88% valid recommendation coverage with 16 valid recommendations, the second-highest coverage figure among tracked brands on that platform. This is a narrow but meaningful recommendation pocket.

Its fourth win is rank-one retention on Google AI Mode. The brand holds a 4.82% rank-one rate on AI Mode with 4 first-position placements, and a 2.99% rank-one rate on AI Overviews with 2 first-position placements. These are small counts, but they show the brand still wins first position on some high-visibility surfaces.

These wins are real but modest. LetsGetChecked does not hold a dominant position in any cluster or on any platform, and its overall trajectory across the three-month series is downward.

Where LetsGetChecked Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Where does LetsGetChecked lose shortlist inclusion despite being mentioned in AI answers?
• Which platforms and clusters expose the biggest recommendation gaps for LetsGetChecked?

The clearest gap is shortlist conversion. LetsGetChecked appears in 66.24% of qualified observations but earns valid recommendation credit in only 18.47%. That means roughly three of every four times the brand is mentioned, it is not included in a valid recommendation shortlist. myLAB Box converts 63.69% presence into 21.66% coverage, and Everlywell converts 74.84% presence into 20.70% coverage. LetsGetChecked's conversion ratio is the weakest of the three leading brands.

The second gap is rank-one displacement. LetsGetChecked holds a 2.55% rank-one rate with 8 first-position placements, against myLAB Box at 8.92% with 28 placements and Everlywell at 5.73% with 18 placements. The brand is roughly one-third as likely as the category leader to be named first. Its average recommended rank of 2.33 is also the weakest of the top three, behind myLAB Box at 1.95 and Everlywell at 2.11.

The third gap is platform concentration. On Perplexity, LetsGetChecked holds 5.88% coverage with a single valid recommendation and zero rank-one placements. On Copilot, the brand holds 17.54% coverage but zero rank-one placements. On Gemini, coverage falls to 11.59% with one rank-one placement. The brand's recommendation strength is concentrated on Google surfaces, leaving it exposed if buyer behavior shifts toward conversational assistants.

The fourth gap is the missing comparison and pricing clusters. The benchmark produced zero qualified observations in the C02 comparison cluster and the C03 pricing cluster in September 2026, matching July and August. LetsGetChecked cannot be evaluated on head-to-head or cost-driven prompts, and neither can its competitors. This is a category-wide measurement gap rather than a brand-specific failure, but it means the brand's true position on decision-stage prompts is unknown.

The fifth gap is the decline itself. Coverage fell 16.3 points across the series and 9.4 points in September alone. The benchmark notes that LetsGetChecked's raw presence held steady while recommendation credit fell sharply, describing this as a visibility-versus-recommendation divergence. Whatever is driving the loss of shortlist inclusion is not a loss of brand awareness in AI answers.

Biggest Opportunity

The single biggest opportunity for LetsGetChecked is closing the shortlist-conversion gap on the consideration-stage prompts where the brand is already mentioned. The brand is present in two of every three qualified observations but recommended in fewer than one in five. That gap is the largest addressable distance between current position and category leadership.

The prompt evidence points to a specific pocket: home STD testing, at-home STI testing, and symptom-driven queries such as herpes testing, chlamydia testing, and discharge-related questions. These are the prompts where the brand already appears and where the category leader is winning recommendation credit. Converting existing mentions into shortlist inclusion on these prompts is a narrower and more achievable goal than building new presence from zero.

Competitive Landscape

Questions This Section Answers

• How does LetsGetChecked's top-three and rank-one performance compare with myLAB Box and Everlywell?
• Which STD testing brands hold the strongest recommendation positions in September 2026?

myLAB Box and Everlywell hold the strongest recommendation-stage positions in the STD Tests category, with LetsGetChecked close behind on coverage but materially weaker on rank-one placement. The table below shows the September 2026 standings across the tracked competitor set.

Average recommended rank covers rank-eligible recommendations only.

LetsGetChecked ranks third on top-three rate and third on rank-one rate. Its top-three rate of 12.42% sits 4.14 points behind myLAB Box and 2.55 points behind Everlywell, while its rank-one rate of 2.55% is less than a third of the category leader's. The numbers show a brand that is consistently shortlisted but rarely named first.

Prompt Evidence

Questions This Section Answers

• On which platforms and prompts does LetsGetChecked perform strongest or weakest?
• What do the tracked STD testing prompts reveal about LetsGetChecked's first-position recommendation strength?

Google AI Mode / Best STD Tests and Top STI Testing Services Prompt: "Is there a rapid STD home test?" Result: LetsGetChecked holds 15.66% valid recommendation coverage on AI Mode, with 13 valid recommendations and 4 rank-one placements, making this the brand's strongest surface for first-position recommendations.

Perplexity / Best STD Tests and Top STI Testing Services Prompt: "home std test" Result: LetsGetChecked holds 5.88% coverage on Perplexity with a single valid recommendation and zero rank-one placements, the weakest platform result among the tracked surfaces.

Copilot / Best STD Tests and Top STI Testing Services Prompt: "Which online doctors are legit?" Result: LetsGetChecked holds 17.54% coverage on Copilot with 10 valid recommendations but zero rank-one placements, indicating shortlist inclusion without first-position strength.

Gemini / Best STD Tests and Top STI Testing Services Prompt: "How do I check if I have STD at home?" Result: LetsGetChecked holds 11.59% coverage on Gemini with 8 valid recommendations and 1 rank-one placement, a mid-tier result against myLAB Box at 8.70% and Everlywell at 11.59% on the same surface.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map every prompt where LetsGetChecked is mentioned but not shortlisted, and identify which competitor gains the recommendation when the brand falls out of a shortlist.

Phase 2: Recommendation Readiness Plan Prioritize the home-testing and symptom-driven prompt clusters where the brand already has presence, and define the shortlist-conversion targets for each.

Phase 3: Owned Answer Layer Buildout Strengthen the pages and content assets that answer the specific prompts where LetsGetChecked is discussed but not selected, focusing on the comparison and selection language AI systems use when forming shortlists.

Phase 4: Citation and Authority Layer Development Build the public evidence layer that supports recommendation credit, including source types that AI systems appear to retrieve when naming top options in the STD testing category.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track coverage, top-three rate, rank-one rate, and sentiment month over month, with particular attention to whether the shortlist-conversion gap narrows on Google surfaces and whether Perplexity and Copilot coverage improves.

Why This Matters

LetsGetChecked is already in the conversation. AI systems mention the brand in two of every three qualified observations about STD testing. But mention is not recommendation, and the brand converts fewer than one in five mentions into shortlist inclusion. In a category where buyers increasingly ask an AI assistant which test to choose, that conversion gap is the difference between being considered and being chosen.

The next move is not more visibility. It is targeted correction of the prompt, page, and citation layers that determine whether an existing mention becomes a recommendation. The benchmark shows where the brand stands. The work ahead is closing the distance between presence and selection.

Core Metrics

Sentiment Score

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

For LetsGetChecked in September 2026: (77 × 1 + 131 × 0 + 0 × -1) / 208 = 0.3702.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI answers without ever being recommended, and a raw mention total treats a neutral reference, a positive recommendation, and a cautionary mention as equal. They are not equal. Share of voice is a diagnostic metric, not a business KPI. What matters is whether the mention carries recommendation weight.

Counting all mentions as wins is bad measurement. A brand listed as a comparison anchor, mentioned as context, or referenced without endorsement is not being recommended. Classified sentiment is required before interpreting AI visibility, because it separates the mentions that carry commercial weight from the ones that simply fill space in an answer.

Sentiment by Platform

Questions This Section Answers

• Which AI platforms produce the strongest recommendation signal for LetsGetChecked?
• Where is LetsGetChecked present in STD testing answers without carrying recommendation weight?

Methodology

1. This report is a benchmark-based analysis of LetsGetChecked's position in the STD Tests category, drawing on the LLM Authority Index AI Market Discovery Index for September 2026 and the associated metrics aggregation dataset.
2. The reporting window covers September 2026, with comparison points from July 2026 (baseline) and August 2026.
3. Six AI and search surfaces were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
4. The September 2026 run began with 800 prompt-surface observations and produced 314 qualified observations after relevance and qualification filtering.
5. Ten brands were tracked in the competitor universe: LetsGetChecked, myLAB Box, Everlywell, Nurx, Labcorp OnDemand, STDcheck.com, PlushCare, QuestDirect, Priority STD Testing, and Health Testing Centers.
6. Three public high-intent clusters were defined: C01, Best STD Tests and Top STI Testing Services; C02, STD Test Comparisons and Service Alternatives; and C03, STD Test Pricing, Cost and Affordability.
7. Only C01 produced qualified observations in September 2026. C02 and C03 produced zero qualified observations in July, August, and September, so the public series measures the consideration-stage cluster only.
8. A mention is counted when a tracked brand appears in a qualified observation in any context, regardless of whether it is recommended.
9. A valid recommendation is counted when a brand appears in a valid recommendation shortlist within a qualified observation, as marked by the dataset.
10. Top-three rate and rank-one rate are calculated against the 314 qualified observations, not the 800 raw prompts.
11. Average recommended rank covers rank-eligible recommendations only. Brands with no rank-eligible recommendations are shown as N/A.
12. The benchmark notes that August 2026 data contained recording errors for PlushCare and STDcheck.com that caused both brands to register 0.0% coverage that month. September rebounds for those brands should be read against that data-quality issue rather than as a clean month-over-month signal.

See Where AI Is Recommending Your Brand

The public benchmark shows where LetsGetChecked stands in the STD Tests category. A company-level AI visibility audit shows why, mapping the specific prompts, competitors, surfaces, and evidence sources behind each recommendation outcome. If you want to see where AI systems are recommending your brand and where they are recommending someone else, start with a company-level readout.