GTM AI Index
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Print · September 2026 Edition

Lob vs PFL

Zero of twelve models named Lob first on the direct prompt; one named PFL. Lob was named by twelve of the twelve models and PFL by ten and Lob carries 48 labels and PFL 23, so the shares are not directly comparable.

Lob

criticized challenger

Named in one category this edition.

PFL

criticized challenger

Named in one category this edition.

First-choice share9%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate27%26%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 11; printed, not drawn.
Labels4823A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Lob reading right to left. Rank and label count are printed, not drawn.Postalytics was named alongside these two in ten of the twelve direct answers. Postalytics vs Lob · Postalytics vs PFL · Lob vs Stannp

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the print page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
LobFirst choices, of twelve modelsPFL
Direct011 against PFL
Paraphrase211 against Lob · 2 against PFL
Comparative50
Budget-constrained003 against Lob
Scale-constrained20
Negative009 against Lob · 3 against PFL
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, Lob and PFL were named in the same answer fifty-six times, of the 154 answers naming Lob and the 63 naming PFL. In those answers PFL took the first choice six times and Lob twenty-two.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Lob and PFL stood in it.
ModelDirectLOPFParaphraseLOPFComparativeLOPFBudget-constrainedLOPFScale-constrainedLOPFNegativeLOPF
Claude Haiku 4.5PFPFLO
GPT-5.4 miniPFLOLO
Gemini 3.5 FlashLOLOLOLOLO
Perplexity SonarLOPFLOPFLOLO
Grok 4.1 FastLOPFLOPFLOLOLOLO
Mistral SmallLOPFLOLO
DeepSeek V4 FlashLOPFLOPFLOPFLOLOPFLOPF
Llama 4 Maverick
Qwen 3.7 FlashLOLOPFLOPF
Kimi K2LOPFLOLOLOLOPFLOPF
GLM 4.7 FlashXLOLOLO
MiniMax M2.5LOLOLOLO
LO LobPF PFLLO first choiceLO named as an alternativeLO argued againstblank: not namedEach cell is one answer, Lob on the left and PFL on the right.

The direct prompt

The plain question, one answer per model, grouped by where Lob and PFL stood in it.

PFL first, Lob not the choice

1 of 12 modelsLob was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5PFL alternatives: PostGrid, Sendoso

Neither was the first choice, one was named

9 of 12 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniSendoso alternatives: PFL
Gemini 3.5 FlashPostalytics, Reachdesk alternatives: Alyce, Lob, Postal
Perplexity SonarPostalytics alternatives: DirectMail.io, Lob, Sendoso
Grok 4.1 FastPostalytics alternatives: Lob, PostGrid, Sendoso
Mistral SmallPostalytics alternatives: Lob, PostGrid, Sendoso
DeepSeek V4 FlashPostalytics alternatives: Lob, PFL, Reachdesk, Sendoso
Kimi K2Postalytics alternatives: Lob, PFL, Sendoso
GLM 4.7 FlashXPostalytics alternatives: Lob, PostGrid, Postal, Reachdesk
MiniMax M2.5Postalytics alternatives: Lob, Postal, Sendoso, Stannp

Neither was named

2 of 12 modelsThe answer made no first choice from these two in this category.
Llama 4 MaverickPostalytics alternatives: Magileads
Qwen 3.7 FlashPostalytics alternatives: Click2Mail, LetterStream, Sendoso

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Lob leads by ten points.
Lob10%#3 of 9
PFL0%#– of 9
The full small business standing →
Mid-marketThe figures above
Lob leads by four points.
Lob9%#2 of 11
PFL4%#7 of 11
The full mid-market standing →
Enterprise
Lob leads by twenty-one points.
Lob37%#1 of 9
PFL16%#2 of 9
The full enterprise standing →

What the models said about Lob

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Platforms to Avoid on a Tight Budget- Lob — Great API, but the $260–550/month platform fee” DeepSeek V4 Flash · budget prompt · hard negative
“SaaS "Subscription Traps" to Avoid on a Budget ... they are not ideal for tight budgets” Gemini 3.5 Flash · budget prompt · hard negative
“Steep Learning Curve: Complex API documentation and lack of guidance for non-developers” GLM 4.7 FlashX · negative prompt · hard negative
“Postalytics or Lob are strong starting points if you want CRM-connected marketing automation” Kimi K2 · scale prompt · first choice
“1. Lob - API-First Platform ... Lob - Complete REST API, webhook support, postal IQ routing” GLM 4.7 FlashX · comparative prompt · first choice
“Choose PostGrid or Lob if you want API-first, developer-controlled automation” Perplexity Sonar · comparative prompt · first choice

What the models said about PFL

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Takes significant time to launch campaigns... Pricing can be prohibitive for smaller teams” Kimi K2 · negative prompt · soft negative
“Primary Concerns: Operational Transparency & Speed ... "quote-only" pricing structures” Qwen 3.7 Flash · negative prompt · soft negative
“heavier setup and higher cost — generally more enterprise-oriented than "mid-sized."” DeepSeek V4 Flash · paraphrase prompt · soft negative
“PFL commands roughly 75% market share ... PFL suits mid-market and enterprise teams that prioritize print quality and deep, reliable integrations” Claude Haiku 4.5 · direct prompt · first choice
“Best Overall Recommendation: PFL” Claude Haiku 4.5 · paraphrase prompt · first choice
“Runner-up: PFL if you need more sophisticated B2B orchestration and multi-channel campaigns.” Mistral Small · paraphrase prompt · alternative
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.