Small business=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 2% in September 2026
Inside the floor by 11 pointsRank 10 → 8 of 30
3 categories · RankedLaunchDarkly
205Judge labels
43First choices
93Negative labels
14 / 14Models named it
3Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
63% in Feature flags for enterprise buyers
Rank 2 of 35 in the mid-market standingcriticized challenger
4 of 14 models made it the first choice on the direct prompt; 38% of its 64 labels there were negative.
What the models named instead of LaunchDarkly →By buyer segmentStrongest at enterprise.
Small business8 of 36
2%61 labels
criticized challenger
Mid-market2 of 35
19%64 labels
criticized challenger
Enterprise1 of 34
63%78 labels
criticized default
In feature flags · 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 |
|---|---|---|---|---|---|---|---|
| Feature flags | Developer platform | 19% | 2 of 35 | 38% | 64 | criticized challenger | ▼−11Since September 2026: 30% → 18%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked. |
| CI/CD platforms | Developer platform | 0% | 24 of 43 | 0% | 1 | under 10 labels · led by GitHub Actions at 68% | newNew since September 2026: not ranked then, 0% now. |
| Internal developer portals | Developer platform | 0% | 38 of 52 | 0% | 1 | under 10 labels · led by Port at 53% |
Movement
Since September 2026, LaunchDarkly moved past the floor in one of three categories: Feature flags, −11 points to 18%. It held within the floor in the other two.
Best category · Feature flags · by segment
Mid-market▼−11Since September 2026: 30% → 18%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked.
18%from 30% in September 2026
Cleared the floor by 0 pointsRank 1 → 2 of 33
Enterprise▲+3Since September 2026: 59% → 62%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
62%from 59% in September 2026
Inside the floor by 8 pointsRank 1 of 32, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Feature flags | 30% | 18% | ▼−11Since September 2026: 30% → 18%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked. | Moved past the floor | Rank 1 → 2 of 35 |
| CI/CD | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 24 of 43, unchanged |
| Developer portals | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 38 of 52, unchanged |
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 | 2 | 1 | 1 | 1 | 5 |
| GPT-5.4 mini | 2 | 1 | 3 | 0 | 6 |
| Gemini 3.5 Flash | 1 | 0 | 0 | 4 | 5 |
| Perplexity Sonar | 3 | 0 | 0 | 0 | 3 |
| Grok 4.20 | 1 | 1 | 1 | 2 | 5 |
| Mistral Small | 1 | 0 | 1 | 1 | 3 |
| DeepSeek V4 Flash | 1 | 1 | 0 | 3 | 5 |
| Llama 4 Maverick | 0 | 3 | 0 | 0 | 3 |
| Qwen 3.7 Flash | 1 | 2 | 1 | 2 | 6 |
| Kimi K2 | 2 | 0 | 0 | 4 | 6 |
| GLM 4.7 FlashX | 3 | 0 | 1 | 2 | 6 |
| MiniMax M2.5 | 2 | 0 | 1 | 2 | 5 |
| GPT-6 Luna | 2 | 0 | 1 | 1 | 4 |
| Muse Glimmer 30B | 1 | 1 | 0 | 2 | 4 |
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
Direct39 labels19
Paraphrase38 labels15
Comparative39 labels25not counted in share
Budget-constrained24 labels2
Scale-constrained29 labels7
Negative36 labelsNone
First choiceAlternativeMentionNegative205 labels in all, every segment counted; 43 of the 68 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.
“the best default choice is usually LaunchDarkly if your priority is mature feature management, governance, approvals, and enterprise-grade rollout controls” GPT-5.4 mini · Feature flags · direct prompt · first choice
“LaunchDarkly is the most full-featured of the bunch... Choose LaunchDarkly if you want the most mature all-in-one enterprise feature management platform.” GPT-5.4 mini · Feature flags · comparative prompt · first choice
“LaunchDarkly — The Enterprise Standard ... Considered the original market leader and the most feature-rich standalone flag platform.” DeepSeek V4 Flash · Feature flags · comparative prompt · first choice
“The Enterprise Standard: LaunchDarkly ... Best for: Large enterprise needs, deep governance, complex targeting, and massive scale.” Gemini 3.5 Flash · Feature flags · scale prompt · first choice
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.
“LaunchDarkly — Proceed with Eyes Wide Open ... Powerful but expensive and complex.” Kimi K2 · Feature flags · negative prompt · hard negative
“Avoid LaunchDarkly for mid-market unless you have enterprise budget” Kimi K2 · Feature flags · direct prompt · hard negative
“Avoid LaunchDarkly — it's enterprise-focused with opaque pricing” MiniMax M2.5 · Feature flags · budget prompt · hard negative
“Avoid: LaunchDarkly for limited budgets” Kimi K2 · Feature flags · budget prompt · hard negative
Named alongside
The products named in the same answers as LaunchDarkly, over the 205 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 205 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 187 of the 205 answers that named LaunchDarkly and are not a share of its labels.
Domains cited
flagsmith.com127
growthbook.io127
statsig.com84
harness.io70
guideflow.com69
getunleash.io66
launchdarkly.comYour site64
amplitude.com55
configcat.com55
guptadeepak.com55
708 of the 772 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 ranks first on Google for the category's searches. In the answers, LaunchDarkly takes 19% of first choices and Flagsmith takes 25%.ShowHide
Search and answers
launchdarkly.com ranks first on Google for the category's searches. In the answers, LaunchDarkly takes 19% of first choices and Flagsmith takes 25%.
ShowHideIn search
Google, US estimatesPosition for “feature flag platform”
1
Position for “feature flag platforms”
9
- 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
19%
rank 2 of 35 in feature flags
Segment leader
25%
Flagsmith
- First choices
- 43 across its categories
- Named in
- 205 answers
- Its own site cited
- in 187 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 | ||
| Report or ebook | 223 | 0 | 2018-09-11 | ||
| 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 is its own company.ShowHide
The company
LaunchDarkly is its own company.
ShowHideIn 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.
Badges
Wins only: a badge exists where LaunchDarkly is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.ShowHide
Badges
Wins only: a badge exists where LaunchDarkly is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHideLaunchDarkly is among the products AI models recommend first in Feature flags this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Wide · 320 × 104 Website, beside other badges
Square · 240 × 240 LinkedIn, slides
Compact · 200 × 56 Email signature, footer
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.