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GTM AI Index
Index › Products › Inbox Monster · October 2026 Edition
1 category · Ranked

Inbox Monster

11Judge labels
1First choices
0Negative labels
6 / 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
2% in Email deliverability for enterprise buyers
Rank 64 of 110 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 1 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In email deliverability · 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 Inbox Monster 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.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Email deliverability and testing toolsMarketing0%64 of 1100%1under 10 labels · led by GlockApps at 34%

Movement

This is the first edition on this tier, so no move can be computed for Inbox Monster yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Inbox Monster across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna01001
Muse Glimmer 30B00000

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
Direct1 labelNone
Paraphrase5 labelsNone
Comparative4 labels1not counted in share
Budget-constrained1 label1
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative11 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.

“consider Everest or Inbox Monster for a more comprehensive, ongoing program” GPT-6 Luna · Email deliverability · 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 Inbox Monster, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Inbox Monster was named but was not.
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ProductSame answerTook the first choice insteadHead to head
GlockApps7 of 111Not among the top eight
Validity Everest6 of 114Not among the top eight
Litmus6 of 111Not among the top eight
Email on Acid5 of 110Not among the top eight
Validity Engage4 of 112Not among the top eight
Google Postmaster Tools2 of 110Not among the top eight
Mailgun Optimize2 of 110Not among the top eight
Everest1 of 111Not among the top eight
Folderly1 of 110Not among the top eight
MailReach1 of 110Not among the top eight
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 Inbox Monster. 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 11 of the 11 answers that named Inbox Monster and are not a share of its labels.

Domains cited

inboxmonster.comYour site5
validity.com5
glockapps.com4
inboxarmy.com4
mailflowauthority.com4
guideflow.com3
litmus.com3
salesdorado.com3
suped.com3
besthunt.ai2

Thirty-one of the thirty-six domain citations in answers naming Inbox Monster came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

inboxmonster.com is not in Google's top ten for any of the category's searches. In the answers, Inbox Monster takes 0% of first choices and GlockApps takes 34%.
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In search

Google, US estimates
Position for “email deliverability tool”
–
not in the top ten
Position for “best email deliverability tool”
–
not in the top ten
Searches for its name, Google
720 a month (“inbox monster”)
AI search demand for its name, est.
4 a month
Organic visits to its site
about 730 a month
Searches its site ranks for
201 · 16 in the top three
Sites linking to it
646
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess
17 ads · 17 text · 7 shown in the last 30 days

First shown November 2023, as Project Bordeaux, Inc., verified. Ads started 2025-11 to 2026-10: 8 in the year, 9 before.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
0%
rank 64 of 110 in email deliverability
Segment leader
34%
GlockApps
First choices
1 across its categories
Named in
11 answers
Its own site cited
in 11 of the answers that named it

Search figures are US estimates from DataForSEO, read October 5, 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
Addresses on inboxmonster.com
166
subdomains included
Content
121
counted in the table below
Documentation
13
Product · Integration
0 · 0
KindPagesLast 90 days2025-11 to 2026-10LatestCategories named
Blog112202026-10-01CRM
Conference or event302026-04-30
Glossary or explainer302026-06-16
Case study1undated
Webinar or virtual event102026-06-10
Template or tool102026-06-24

Events in person

Last twelve months

As the event pages on inboxmonster.com state them, read October 5, 2026.

How it is countedHide how it is counted

Every page inboxmonster.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 October 5, 2026.

Follow Inbox Monster

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.

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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 Inbox Monster'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 Inbox Monster, 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 Inbox Monster by email, built from the raw record of the edition. It shows:

  • where Inbox Monster 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 Inbox Monster, 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.
The subscriber app

A verification link goes to your work email; an address at inboxmonster.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.