Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 81 → 34 of 63
1 category · RankedLaunchDarkly
25Judge labels
0First choices
7Negative labels
12 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
0% in Experimentation for enterprise buyers
Rank 16 of 71 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 8 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small business25 of 69
0%5 labels
under the label threshold
Mid-market16 of 71
0%8 labels
under the label threshold
Enterprise59 of 63
0%12 labels
criticized challenger
In experimentation · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named LaunchDarkly for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Experimentation and personalization | Marketing | 0% | 16 of 71 | 0% | 8 | under 10 labels · led by VWO at 27% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, LaunchDarkly held within the floor in its one category: no change cleared 11 points.
Best category · Experimentation · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 19 → 16 of 68
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 13 → 49 of 53
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Experimentation | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 19 → 16 of 71 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated LaunchDarkly across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated LaunchDarkly across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 1 | 1 | 0 | 2 |
| Perplexity Sonar | 1 | 0 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 1 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative12 labels1not counted in share
Budget-constrained3 labelsNone
Scale-constrained4 labelsNone
Negative6 labelsNone
First choiceAlternativeMentionNegative25 labels in all, every segment counted; 0 of the 1 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Statsig and LaunchDarkly are strong when experimentation is tied to feature delivery” Perplexity Sonar · Experimentation · comparative prompt · first choice
“Choose LaunchDarkly / Statsig / GrowthBook if: you're more product-engineering oriented” GPT-5.4 mini · Experimentation · comparative prompt · alternative
“Product-led growth | LaunchDarkly, Split.io” Kimi K2 · Experimentation · negative prompt · alternative
“Best if engineering is leading the initiative.” Gemini 3.5 Flash · Experimentation · scale prompt · alternative
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
No model argued against it.
Named alongside
The products named in the same answers as LaunchDarkly, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and LaunchDarkly was named but was not.ShowHide
Named alongside
The products named in the same answers as LaunchDarkly, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and LaunchDarkly was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named LaunchDarkly. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 22 of the 25 answers that named LaunchDarkly and are not a share of its labels.
Domains cited
kameleoon.com15
growthbook.io13
statsig.com13
optimizely.com11
convert.com10
amplitude.com6
guideflow.com6
mida.so6
flagsmith.com5
learn.g2.com5
Ninety of the ninety domain citations in answers naming LaunchDarkly came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
launchdarkly.com is not in Google's top ten for any of the category's searches. In the answers, LaunchDarkly takes 0% of first choices and VWO takes 27%.ShowHide
Search and answers
launchdarkly.com is not in Google's top ten for any of the category's searches. In the answers, LaunchDarkly takes 0% of first choices and VWO takes 27%.
ShowHideIn search
Google, US estimatesPosition for “website experimentation and personalization platform”
–
not in the top ten
Position for “best website experimentation and personalization platform”
–
not in the top ten
- Searches for its name, Google
- 14,800 a month (“launchdarkly”)
- AI search demand for its name, est.
- 410 a month
- Organic visits to its site
- about 40,192 a month
- Searches its site ranks for
- 5,856 · 503 in the top three
- Sites linking to it
- 5,846
- Paid Google search
- 6 searches its ads show for, about 66 clicks and $66 a month (estimate)
In answers
This editionShare of first choices
0%
rank 16 of 71 in experimentation
Segment leader
27%
VWO
- First choices
- 0 across its categories
- Named in
- 25 answers
- Its own site cited
- in 22 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on launchdarkly.com
3,013
subdomains included
Content
1,417
counted in the table below
Documentation
993
Product · Integration
30 · 1
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 938 | 26 | 2026-09-23 | Product analytics | |
| Report or ebook | 223 | 0 | 2018-09-11 | Mobile apps | |
| Webinar or virtual event | 74 | 0 | 2023-07-27 | ||
| Conference or event | 66 | 0 | 2025-06-04 | ||
| Case study | 49 | 0 | 2016-05-19 | ||
| Comparison | 27 | 0 | 2026-05-30 | ||
| Glossary or explainer | 18 | 0 | 2024-08-07 | ||
| Podcast or video | 17 | 1 | 2026-08-06 | ||
| Template or tool | 4 | 0 | 2024-12-06 | ||
| News or press | 1 | undated |
Most recent
- 2026-09-23What the eu ai act means for ai governance blog
- 2026-09-21Mlops solutions for production machine learning blog
- 2026-09-16Why ai software factories wont always look like factories blog
- 2026-09-15Kubernetes observability blog
- 2026-09-15Machine learning model deployment blog
- 2026-09-15Mlops solutions blog
Events in person
Last twelve months
- October 28, 2026 to October 29, 2026LaunchDarkly at GitHub Universe 2026Fort Mason Center for Arts & Culture, San Francisco · attended
- October 19, 2026 to October 22, 2026LaunchDarkly at Gartner IT Symposium/XPOWalt Disney World Swan and Dolphin Resort, U.S. · exhibited
- September 22, 2026 to September 24, 2026LaunchDarkly at HumanX Amsterdam 2026RAI, Amsterdam · attended
- November 4, 2025From Code Tsunami to Controlled Innovation: Launching Software in the Age of AIEstrel Berlin Congress Center, Berlin, Germany · spoke
- November 3, 2025 to November 4, 2025LaunchDarkly at LeadDev Berlin 2025Estrel Berlin Congress Center, Berlin, Germany · exhibited
As the event pages on launchdarkly.com state them, read September 28, 2026.
How it is countedHide how it is counted
Every page launchdarkly.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Follow LaunchDarkly
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
launchdarkly-server-sdk is the company behind LaunchDarkly.ShowHide
The company
launchdarkly-server-sdk is the company behind LaunchDarkly.
ShowHideOn record
Wikidata- Website
- launchdarkly.com
- Headquarters
- United States, United States
- Founded
- 2014
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn · Crunchbase
In its own words
Stated by the vendor, not checked- Positioning
- The runtime control layer for AI development, de-risking releases, and enabling systems that heal and optimize themselves.
- For
- AI engineers, developers, DevOps & SRE, product managers, data scientists
- Price stated
- Pricing launchdarkly.com
- Starting price
- 0 launchdarkly.com/pricing
- Free plan or trial
- Free trial launchdarkly.com
- Certifications
- SOC2ISOHIPAASOC 2 Type IIISO 27001FedRAMP authorizedDPF
- Hosting
- EU Region Available
- Customers named
- Savage X FentyPokaDiorParamountHireologyAllyAlayaCareRelay Network
- Not stated on the pages read
- Integrations
What LaunchDarkly's own pages state, read September 28, 2026: launchdarkly.com, launchdarkly.com/pricing, launchdarkly.com/security, launchdarkly.com/solutions, launchdarkly.com/case-studies. A claimed page can correct any of them.
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when LaunchDarkly's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as LaunchDarkly, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for LaunchDarkly by email, built from the raw record of the edition. It shows:
- where LaunchDarkly is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name LaunchDarkly, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.