Small business▲+6Since September 2026: 2% → 9%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
9%from 2% in September 2026
Inside the floor by 5 pointsRank 2 of 53, unchanged
5 categories · RankedLusha
340Judge labels
13First choices
53Negative labels
14 / 14Models named it
5Categories
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
8% in Sales intel for small business buyers
Rank 3 of 52 in the mid-market standingaccepted challenger
1 of 14 models made it the first choice on the direct prompt; 13% of its 52 labels there were negative.
What the models named instead of Lusha →By buyer segmentRead the same way at every buyer size.
Small business2 of 55
8%62 labels
accepted challenger
Mid-market3 of 52
4%52 labels
accepted challenger
Enterprise39 of 45
0%37 labels
criticized challenger
In sales intel · 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 Lusha 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 |
|---|---|---|---|---|---|---|---|
| Sales intelligence and contact data | Sales | 4% | 3 of 52 | 13% | 52 | accepted challenger | ▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data enrichment | GTM data and infrastructure | 2% | 6 of 50 | 16% | 45 | accepted challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Account-based marketing platforms | Marketing | 2% | 8 of 71 | 0% | 4 | under 10 labels · led by AdRoll ABM at 53% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| B2B intent data providers | Sales | 2% | 10 of 60 | 8% | 12 | accepted challenger | =heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Market intelligence platforms | GTM data and infrastructure | 0% | 107 of 172 | 0% | 1 | under 10 labels · led by Apollo.io at 17% |
Movement
Since September 2026, Lusha held within the floor in all five categories: no change cleared 11 points.
Best category · Sales intel · by segment
Mid-market▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
5%from 0% in September 2026
Inside the floor by 6 pointsRank 5 → 3 of 50
Enterprise▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 6 → 35 of 41
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Sales intel | 0% | 5% | ▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 5 → 3 of 52 |
| Enrichment | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 11 → 6 of 50 |
| Intent data | 2% | 2% | =heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 10 of 60, unchanged |
| ABM | 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 48 → 8 of 71 |
| Market intelligence | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 107 of 172, 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 Lusha 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 Lusha 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 | 3 | 2 | 2 | 9 |
| GPT-5.4 mini | 0 | 6 | 0 | 1 | 7 |
| Gemini 3.5 Flash | 0 | 3 | 9 | 2 | 14 |
| Perplexity Sonar | 0 | 4 | 2 | 0 | 6 |
| Grok 4.1 Fast | 2 | 5 | 6 | 1 | 14 |
| Mistral Small | 0 | 4 | 2 | 1 | 7 |
| DeepSeek V4 Flash | 0 | 7 | 2 | 0 | 9 |
| Llama 4 Maverick | 0 | 3 | 3 | 1 | 7 |
| Qwen 3.7 Flash | 0 | 4 | 4 | 1 | 9 |
| Kimi K2 | 1 | 4 | 1 | 0 | 6 |
| GLM 4.7 FlashX | 0 | 5 | 1 | 3 | 9 |
| MiniMax M2.5 | 0 | 4 | 0 | 0 | 4 |
| GPT-6 Luna | 0 | 1 | 2 | 2 | 5 |
| Muse Glimmer 30B | 1 | 2 | 4 | 1 | 8 |
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
Direct64 labels1
Paraphrase49 labels6
Comparative69 labels3not counted in share
Budget-constrained61 labels3
Scale-constrained35 labels3
Negative62 labels2not counted in share
First choiceAlternativeMentionNegative340 labels in all, every segment counted; 13 of the 18 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.
“Start with Lusha free/ $37/mo for verified contacts + buying signals + enrichment.” Muse Glimmer 30B · ABM · budget prompt · first choice
“Safer bets from reviews: Tools like Lusha (98% email accuracy, free tier)” Grok 4.1 Fast · Enrichment · negative prompt · first choice
“For most SMB and mid-market teams, Lusha is the strongest overall pick” Claude Haiku 4.5 · Sales intel · paraphrase prompt · first choice
“Apollo.io or Lusha are the right entry points. Both offer free tiers” Claude Haiku 4.5 · Enrichment · budget 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.
“Low email accuracy: Independent checks suggest only about 68% email return at roughly 82% accuracy, which is below industry standards.” Mistral Small · Enrichment · negative prompt · hard negative
“Tools that have faced regulatory actions (e.g., Lusha's Italy fine) should be avoided in sensitive jurisdictions.” GLM 4.7 FlashX · Enrichment · negative prompt · hard negative
“The credit model can feel like a trap... Users report accuracy has declined, particularly for phone numbers” Claude Haiku 4.5 · Sales intel · negative prompt · hard negative
“Some users report issues with outdated contact information and relatively high pricing for infrequent use.” Claude Haiku 4.5 · Enrichment · negative prompt · soft negative
Named alongside
The products named in the same answers as Lusha, over the 340 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Lusha was named but was not.ShowHide
Named alongside
The products named in the same answers as Lusha, over the 340 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Lusha 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 Lusha. 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 322 of the 340 answers that named Lusha and are not a share of its labels.
Domains cited
pipeline.zoominfo.com193
lusha.comYour site139
demandbase.com135
apollo.io113
salesmotion.io113
amplemarket.com100
cleanlist.ai74
cognism.com63
rb2b.com62
g2.com56
909 of the 1,048 domain citations in answers naming Lusha came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
lusha.com is not in Google's top ten for any of the category's searches. In the answers, Lusha takes 4% of first choices and Apollo.io takes 73%.ShowHide
Search and answers
lusha.com is not in Google's top ten for any of the category's searches. In the answers, Lusha takes 4% of first choices and Apollo.io takes 73%.
ShowHideIn search
Google, US estimatesPosition for “b2b contact data and sales intelligence platform”
–
not in the top ten
Position for “best b2b contact data and sales intelligence platform”
–
not in the top ten
- Searches for its name, Google
- 12,100 a month (“lusha”)
- AI search demand for its name, est.
- 893 a month
- Organic visits to its site
- about 52,570 a month
- Searches its site ranks for
- 19,433 · 533 in the top three
- Sites linking to it
- 8,133
- Paid Google search
- 2 searches its ads show for, about 3 clicks and $11 a month (estimate)
In answers
This editionShare of first choices
4%
rank 3 of 52 in sales intel
Segment leader
73%
Apollo.io
- First choices
- 13 across its categories
- Named in
- 340 answers
- Its own site cited
- in 322 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 lusha.com
1,963
subdomains included
Content
837
counted in the table below
Documentation
409
Product · Integration
5 · 32
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 576 | 10 | 2026-09-17 | ||
| Glossary or explainer | 142 | 0 | 2026-06-28 | ||
| Comparison | 45 | 1 | 2026-09-17 | ||
| Case study | 34 | 0 | 2026-03-31 | ||
| Webinar or virtual event | 26 | 0 | 2026-06-18 | ||
| Template or tool | 6 | 0 | 2026-03-29 | ||
| Report or ebook | 4 | undated | |||
| Conference or event | 2 | 0 | 2026-05-28 | ||
| Podcast or video | 1 | undated | |||
| News or press | 1 | 0 | 2023-06-27 |
Most recent
- 2026-09-17Privacy first b2b data vendors compared blog
- 2026-09-17Global coverage vs local depth b2b databases comparison
- 2026-09-17How to choose a b2b data api for lead enrichment blog
- 2026-09-16How to find direct dials blog
- 2026-09-16How to refresh stale crm data blog
- 2026-09-16What to use to enrich crm records blog
How it is countedHide how it is counted
Every page lusha.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.
Names read as Lusha
What the judge wrote, as written, with how often. The vendor table decides that these count as Lusha; a claim can dispute any of them.
Lusha + Apollo Integration 1Lusha/Apollo 1
Follow Lusha
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
Lusha Systems is the company behind Lusha.ShowHide
The company
Lusha Systems is the company behind Lusha.
ShowHideOn record
Wikidata- Website
- lusha.com
- Headquarters
- Boston, United States
- Founded
- 2016
- Employees
- about 400 (2026)
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 B2B data and intelligence layer for GTM teams and AI agents
- For
- GTM teams and AI agents
- Price stated
- The free plan needs no credit card. Limits are on the pricing page. lusha.com
- Starting price
- 0 lusha.com/pricing
- Free plan or trial
- Start for free lusha.com
- Integrations claimed
- 40 lusha.com/partners
- Certifications
- Accredited ISO 27701ISO/IEC 42001SOC 2 Type IIISO 27001ISO 27701ISO 31700ISO 42001TRUSTe seal
- Customers named
- WalkMeZestyOracle NetSuitexGrowthInsight GlobalNextgenCartoSuxeed
- Not stated on the pages read
- Hosting
What Lusha's own pages state, read September 28, 2026: lusha.com, lusha.com/pricing, lusha.com/platform-overview, lusha.com/customers, lusha.com/partners. 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 Lusha'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 Lusha, 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 Lusha by email, built from the raw record of the edition. It shows:
- where Lusha 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 Lusha, 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 Lusha 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 Lusha is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHideLusha is among the products AI models recommend first in Sales intelligence and contact data 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.