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SMS and WhatsApp marketing platforms · November 2026 Edition

Respond.io vs WATI

Zero of fourteen models named Respond.io first on the direct prompt; zero named WATI. Respond.io was named by twelve of the fourteen models and WATI by fourteen and Respond.io carries 18 labels and WATI 28, so the shares are not directly comparable.

Respond.io

accepted challenger

Named in three categories this edition.

WATI

accepted challenger

Named in three categories this edition.

First-choice share5%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 20; printed, not drawn.
Labels1828A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Respond.io reading right to left. Rank and label count are printed, not drawn.Customer.io was named alongside these two in nine of the fourteen direct answers. Customer.io vs Respond.io · Customer.io vs WATI · Brevo vs Respond.io

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen 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 SMS and WhatsApp marketing platforms page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Respond.ioFirst choices, of fourteen modelsWATI
Direct00
Paraphrase32
Comparative10
Budget-constrained00
Scale-constrained00
Negative012 against WATI
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, Respond.io and WATI were named in the same answer thirty times, of the 41 answers naming Respond.io and the 72 naming WATI. In those answers WATI took the first choice one time and Respond.io three.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Respond.io and WATI stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Respond.io WATI first choice named as an alternative argued againstblank: not namedEach cell is one answer, Respond.io on the left and WATI on the right.

The direct prompt

The plain question, one answer per model, grouped by where Respond.io and WATI stood in it.

Neither was named

14 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Customer.io alternatives: ActiveCampaign, Heymarket, Salesmsg, SlickText, Vero
GPT-5.4 miniTwilio Programmable Messaging alternatives: Braze, SimpleTexting
Gemini 3.5 FlashSalesmsg alternatives: Customer.io, Mogli, Sakari, TextUs
Perplexity SonarCustomer.io alternatives: ActiveCampaign, SlickText
Grok 4.20Customer.io alternatives: ActiveCampaign, Braze, Iterable
Mistral SmallAttentive, Twilio Programmable Messaging alternatives: Insider
DeepSeek V4 FlashCustomer.io alternatives: ActiveCampaign, HubSpot Marketing Hub, Twilio Programmable Messaging
Llama 4 MaverickCustomer.io
Qwen 3.7 FlashHubSpot Marketing Hub alternatives: Customer.io, Marigold
Kimi K2Salesmsg alternatives: EZ Texting, SimpleTexting
GLM 4.7 FlashXVibes alternatives: SimpleTexting, SlickText, TrueDialog
MiniMax M2.5Customer.io, OneSignal alternatives: Brevo, Sinch, SlickText
GPT-6 LunaMogli, Sakari alternatives: HubSpot's native SMS add-on
Muse Glimmer 30BCustomer.io alternatives: Salesmsg

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
WATI leads by five points.
WATI7%#4 of 17
Respond.io2%#12 of 17
The full small business standing →
Mid-marketThe figures above
The order flips: Respond.io leads at mid-market.
Respond.io5%#6 of 20
WATI3%#8 of 20
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Respond.io0%#– of 14
WATI0%#14 of 14
The full enterprise standing →

What the models said about Respond.io

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

“### 1. Respond.io ... Best For: Conversational B2B sales, lead qualification, and team collaboration.” Gemini 3.5 Flash · paraphrase prompt · first choice
“For WhatsApp: folk CRM or Respond.io are excellent” Mistral Small · paraphrase prompt · first choice
“Ratings: Highly recommended for scalability.” Grok 4.20 · comparative prompt · first choice

What the models said about WATI

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

“WATI has limited AI agents, limited cross-channel coverage, and no built-in conversion attribution reporting” Claude Haiku 4.5 · negative prompt · soft negative
“the best text message and WhatsApp marketing tool for a mid-sized B2B company would be WATI” Llama 4 Maverick · paraphrase prompt · first choice
“Examples of reliable BSPs include WATI, Interakt, and Trengo.” Qwen 3.7 Flash · negative prompt · first choice
“Top Recommendation: Wati or Respond.io” GLM 4.7 FlashX · paraphrase prompt · first choice
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.