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Index › Marketing › Paid ads › Google Ads vs Smartly
Search and social advertising platforms · October 2026 Edition

Google Ads vs Smartly

One of fourteen models named Google Ads first on the direct prompt; zero named Smartly. Google Ads was named by thirteen of the fourteen models and Smartly by twelve and Google Ads carries 30 labels and Smartly 20, so the shares are not directly comparable.

Google Ads

accepted challenger

By Google, Mountain View, California, United States, founded 1998. Named in ten categories this edition.

Smartly

accepted challenger

Named in three categories this edition.

First-choice share13%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%15%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#7A position in a field of 14; printed, not drawn.
Labels3020A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Google Ads reading right to left. Rank and label count are printed, not drawn.Google Ads vs Adzooma · Google Ads vs Optmyzr · Google Ads vs Skai

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 search and social advertising 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.
Google AdsFirst choices, of fourteen modelsSmartly
Direct10
Paraphrase301 against Smartly
Comparative50
Budget-constrained301 against Smartly
Scale-constrained01
Negative103 against Google Ads · 1 against Smartly
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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Google Ads and Smartly stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
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
Google Ads Smartly first choice named as an alternative argued againstblank: not namedEach cell is one answer, Google Ads on the left and Smartly on the right.

The direct prompt

The plain question, one answer per model, grouped by where Google Ads and Smartly stood in it.

Google Ads first, Smartly not the choice

1 of 14 modelsSmartly was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Directive, Google Ads alternatives: AdRoll ABM, Disruptive Advertising, HawkSEM, LinkedIn Campaign Manager, Optmyzr

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniGoogle Marketing Platform with Search Ads 360 alternatives: Optmyzr, Smartly
DeepSeek V4 FlashHubSpot Advertising alternatives: 6sense, Skai, Smartly, Wask
Qwen 3.7 FlashAdRoll ABM, Terminus alternatives: Google Ads, HubSpot Ads, LinkedIn Campaign Manager, Microsoft Advertising, Revealbot

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashMetadata.io alternatives: HubSpot Ads, Influ2, Optmyzr
Perplexity SonarHubSpot Marketing Hub alternatives: AdRoll, Optmyzr
Grok 4.1 FastSkai alternatives: Adzooma, Marin Software, Optmyzr, Revealbot
Mistral SmallMetadata.io alternatives: 6sense, AdRoll, WebFX
Llama 4 MaverickAdRoll alternatives: 6sense, Madgicx, WebFX
Kimi K2Metadata.io alternatives: AdRoll ABM
GLM 4.7 FlashXHubSpot Marketing Hub alternatives: AdRoll ABM, Skai
MiniMax M2.5Skai alternatives: 6sense, HubSpot's Ad Management Tools
GPT-6 LunaMetadata.io alternatives: Optmyzr
Muse Glimmer 30BMarin Software alternatives: 6sense, Ryze AI, Semrush Advertising Toolkit

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
Google Ads leads by fifteen points.
Google Ads15%#1 of 16
Smartly0%#14 of 16
The full small business standing →
Mid-marketThe figures above
Google Ads leads by twelve points.
Google Ads13%#1 of 14
Smartly2%#7 of 14
The full mid-market standing →
Enterprise
The order flips: Smartly leads at enterprise.
Smartly4%#4 of 9
Google Ads0%#9 of 9
The full enterprise standing →

What the models said about Google Ads

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

“Trustpilot shows significant dissatisfaction around misleading promotional credits, billing discrepancies, unexpected deductions, and unhelpful support.” DeepSeek V4 Flash · negative prompt · soft negative
“Verdict: Essential but challenging; consider using a third-party management tool” GLM 4.7 FlashX · negative prompt · soft negative
“the native platforms like Google Ads and Meta Ads Manager ... are often the best starting point—they're completely free to use” Grok 4.1 Fast · budget prompt · first choice
“For PPC, Google Ads (particularly for branded and intent-based campaigns) is often considered the best overall solution.” Mistral Small · paraphrase prompt · first choice

What the models said about Smartly

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

“Smartly.io: Social-first (Meta/TikTok/LinkedIn) with AI creative; scales to search. Ideal for visual/brand campaigns.” Grok 4.1 Fast · scale 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.