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 58 → 22 of 72
1 category · Named, not rankedLater Influence
19Judge labels
1First choices
2Negative labels
10 / 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.
Standing
7 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Later Influence was named 7 times in Influencer, where Favikon led with 23%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business22 of 77
0%7 labels
under the label threshold
Mid-market20 of 72
0%7 labels
under the label threshold
Enterprise11 of 61
2%5 labels
under the label threshold
In influencer · 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 Later Influence 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 |
|---|---|---|---|---|---|---|---|
| Influencer platforms | Marketing | 0% | 20 of 72 | 0% | 7 | under 10 labels · led by Favikon at 23% | =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, Later Influence held within the floor in its one category: no change cleared 11 points.
Best category · Influencer · 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 22 → 20 of 71
Enterprise=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 8 → 9 of 59
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Influencer | 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 22 → 20 of 72 |
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 Later Influence 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 Later Influence 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 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 1 | 0 | 1 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 2 | 0 | 2 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 0 | 0 | 1 |
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
Comparative10 labels1not counted in share
Budget-constrained2 labels1
Scale-constrained1 labelNone
Negative2 labelsNone
First choiceAlternativeMentionNegative19 labels in all, every segment counted; 1 of the 2 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.
“Later Influence merged creator marketing with market research capabilities, with a 10 million creator network” Claude Haiku 4.5 · Influencer · paraphrase prompt · alternative
“Best if you want simpler, campaign-focused execution: Later Influence or GRIN” GPT-5.4 mini · Influencer · direct prompt · alternative
“Later Influence and Aspire for affiliate-driven campaigns” Muse Glimmer 30B · Influencer · comparative 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 Later Influence, over the 19 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Later Influence was named but was not.ShowHide
Named alongside
The products named in the same answers as Later Influence, over the 19 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Later Influence 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 Later Influence. 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 19 of the 19 answers that named Later Influence and are not a share of its labels.
Domains cited
dashsocial.com12
guideflow.com9
learn.g2.com9
shopify.com9
g2.com8
influenceflow.io7
later.comYour site6
toptal.com6
archive.com5
influee.co5
Seventy of the seventy-six domain citations in answers naming Later Influence came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
later.com is not in Google's top ten for any of the category's searches. In the answers, Later Influence takes 0% of first choices and Favikon takes 23%.ShowHide
Search and answers
later.com is not in Google's top ten for any of the category's searches. In the answers, Later Influence takes 0% of first choices and Favikon takes 23%.
ShowHideIn search
Google, US estimatesPosition for “influencer marketing platform”
–
not in the top ten
Position for “best influencer marketing platform”
–
not in the top ten
- Organic visits to its site
- about 549,193 a month
- Searches its site ranks for
- 44,026 · 3,613 in the top three
- Sites linking to it
- 33,038
- 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 20 of 72 in influencer
Segment leader
23%
Favikon
- First choices
- 1 across its categories
- Named in
- 19 answers
- Its own site cited
- in 19 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 later.com
1,834
subdomains included
Content
1,208
counted in the table below
Documentation
0
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 855 | 70 | 2026-09-24 | Social media, Influencer | |
| Podcast or video | 157 | 0 | 2024-05-01 | SEO, Social media | |
| Case study | 62 | 0 | 2024-11-15 | ||
| Report or ebook | 52 | 0 | 2025-09-17 | Influencer | |
| Comparison | 31 | 0 | 2026-02-10 | ||
| Webinar or virtual event | 23 | undated | |||
| Glossary or explainer | 9 | 0 | 2026-06-19 | ||
| Conference or event | 7 | undated | |||
| Template or tool | 6 | 0 | 2026-04-17 | ||
| News or press | 6 | 0 | 2021-09-17 |
Most recent
- 2026-09-24The data behind youtubes full funnel advantage and what to do with it blog
- 2026-09-18New research how to win ai search with creators blog
- 2026-09-14New york fashion week lessons what modern brand marketing needs next blog
- 2026-09-01How to earn your first 100 with affiliate links on later blog
- 2026-09-01Later desktop dashboard blog
- 2026-09-01How to link with later blog
Events in person
Upcoming
- November 17, 2026Later Creator LiveSecond, NYC · hosts
Last twelve months
- October 6, 2026Made You Look Tour The NYC EditLudlow House · hosted
As the event pages on later.com state them, read September 28, 2026.
How it is countedHide how it is counted
Every page later.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. Of its titles that name a category, most name social media (10); 9 name the category the models place it in. 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 Later Influence
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
Later Influence is its own company.ShowHide
The company
Later Influence is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- AI-Powered Influencer Marketing Platform
- For
- For enterprise brands
- Price stated
- The Later partner program is free to join. later.com/partners
- Free plan or trial
- The Later partner program is free to join. later.com/partners
- Customers named
- El Pollo LocoAt HomeCrumblTapatioHabit Burger & GrillFive BelowAmerican GirlAmerican Greetings
- Not stated on the pages read
- Starting price, integrations, certifications, hosting
What Later Influence's own pages state, read October 5, 2026: later.com/influencer-marketing-platform, later.com, later.com/pricing, later.com/case-studies, later.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 Later Influence'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 Later Influence, 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 Later Influence by email, built from the raw record of the edition. It shows:
- where Later Influence 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 Later Influence, 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.