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 13 of 53, unchanged
3 categories · RankedRocketReach
35Judge labels
0First choices
8Negative labels
12 / 14Models named it
3Categories
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 Enrichment for small business buyers
Rank 11 of 52 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 12% of its 8 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small business15 of 55
0%4 labels
under the label threshold
Mid-market11 of 52
0%8 labels
under the label threshold
Enterprise41 of 45
0%2 labels
under the label threshold
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 RocketReach 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 | 0% | 11 of 52 | 12% | 8 | under 10 labels · led by Apollo.io at 73% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data enrichment | GTM data and infrastructure | 0% | 43 of 50 | 50% | 6 | under 10 labels · led by Apollo.io at 73% | =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 | 0% | 59 of 60 | 100% | 1 | under 10 labels · led by Apollo.io at 27% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, RocketReach held within the floor in all three categories: no change cleared 11 points.
Best category · Sales intel · 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 18 → 11 of 50
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 42 → 37 of 41
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Sales intel | 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 18 → 11 of 52 |
| Enrichment | 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 51 → 43 of 50 |
| Intent data | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 59 of 60, 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 RocketReach 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 RocketReach 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 | 1 | 1 |
| GPT-5.4 mini | 0 | 0 | 1 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 3 | 0 | 0 | 3 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 1 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 1 | 2 | 3 |
| Kimi K2 | 0 | 1 | 0 | 1 | 2 |
| GLM 4.7 FlashX | 0 | 2 | 0 | 0 | 2 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 1 | 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
Direct2 labelsNone
Paraphrase2 labelsNone
Comparative11 labelsNone
Budget-constrained9 labelsNone
Scale-constrained2 labelsNone
Negative9 labelsNone
First choiceAlternativeMentionNegative35 labels in all, every segment counted; 0 of the 0 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.
“RocketReach, which offers email and phone lookup with tiered/public pricing” Llama 4 Maverick · Sales intel · budget prompt · alternative
“Alternative 3: RocketReach – Best for Individual Rep Lookup” GLM 4.7 FlashX · Sales intel · budget prompt · alternative
“Cheap for email/phone lookups, broad coverage | Basic intel” Grok 4.20 · Sales intel · budget prompt · alternative
“Affordable lookups, Chrome extension. | Less all-in-one” Grok 4.20 · Enrichment · budget 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.
“reviews are mixed regarding reliability. Common complaints include finding the correct person but providing the wrong email domain” Qwen 3.7 Flash · Enrichment · negative prompt · soft negative
“shares recurring pain points—stale data, opaque predictive models, steep learning curves, and pricing that explodes” Qwen 3.7 Flash · Intent data · negative prompt · soft negative
“Large contact databases—for example, Apollo, ZoomInfo, Lusha, Seamless.AI, or RocketReach” GPT-6 Luna · Enrichment · negative prompt · soft negative
“Some users have reported declining personal email accuracy since early 2025.” Claude Haiku 4.5 · Enrichment · negative prompt · soft negative
Named alongside
The products named in the same answers as RocketReach, over the 35 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and RocketReach was named but was not.ShowHide
Named alongside
The products named in the same answers as RocketReach, over the 35 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and RocketReach 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 RocketReach. 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 32 of the 35 answers that named RocketReach and are not a share of its labels.
Domains cited
pipeline.zoominfo.com25
apollo.io18
cleanlist.ai18
demandbase.com17
amplemarket.com14
salesmotion.io14
clay.com13
salesgenie.com10
getdatabees.com9
lusha.com9
147 of the 147 domain citations in answers naming RocketReach came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
rocketreach.co is not in Google's top ten for any of the category's searches. In the answers, RocketReach takes 0% of first choices and Apollo.io takes 73%.ShowHide
Search and answers
rocketreach.co is not in Google's top ten for any of the category's searches. In the answers, RocketReach takes 0% 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
- 49,500 a month (“rocketreach”)
- AI search demand for its name, est.
- 381 a month
- Organic visits to its site
- about 3,971,305 a month
- Searches its site ranks for
- 1,131,140 · 21,917 in the top three
- Sites linking to it
- 14,737
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
0%
rank 11 of 52 in sales intel
Segment leader
73%
Apollo.io
- First choices
- 0 across its categories
- Named in
- 35 answers
- Its own site cited
- in 32 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 rocketreach.co
214
subdomains included
Content
162
counted in the table below
Documentation
29
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-11 to 2026-10 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 139 | 12 | 2026-10-01 | Enrichment, Email verification | |
| Comparison | 14 | 4 | 2026-09-03 | ||
| Case study | 7 | 1 | 2026-09-14 | ||
| Conference or event | 1 | undated | |||
| Glossary or explainer | 1 | 0 | 2026-03-30 |
Most recent
- 2026-10-01Rocketreach gong enrich partnership blog
- 2026-09-28Rocketreach mcp blog
- 2026-09-22How integrated contact data makes prospecting more efficient blog
- 2026-09-16Products 2 blog
- 2026-09-14Incy tech case study
- 2026-09-03Rocketreach vs zoominfo which sales intelligence platform is right for your team comparison
How it is countedHide how it is counted
Every page rocketreach.co 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 October 5, 2026.
Follow RocketReach
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.
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 RocketReach'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 RocketReach, 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 RocketReach by email, built from the raw record of the edition. It shows:
- where RocketReach 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 RocketReach, 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.