Search and social advertising platforms
Asked as “paid search and social ads management platform”, and as “PPC and paid social campaign management tool”, on behalf of a mid-market B2B software company. 58 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
01The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
01
02
03
04
05
06
07
08
09
10
11
12
13Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Google Ads10%
Google Ads10%02Optmyzr9%
Optmyzr9%03LinkedIn Campaign Manager9%
LinkedIn Campaign Manager9%04Adzooma9%
Adzooma9%05Meta Ads5%
Meta Ads5%06Marin Software5%
Marin Software5%07Skai3%
Skai3%08WordStream3%
WordStream3%09Smartly2%
Smartly2%10Opteo2%
Opteo2%11AdEspresso2%
AdEspresso2%12Adalysis0%
Adalysis0%13Madgicx0%
Madgicx0%02What they warned about
A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Marin Software22%
6 of 27 labels negative · 5 of 6 models · 4 hard negative
“Marin Software officially approved a plan of dissolution and liquidation in April 2025**. Avoid any remaining sales pitches” Gemini 3.5 Flash, negative prompt
WordStream29%
5 of 17 labels negative · 4 of 6 models · 4 hard negative
“WordStream (LocaliQ) — Approach with Extreme Caution ... Deceptive pricing, massive cost escalation, terrible support post-acquisition” Kimi K2, negative prompt
AdEspresso33%
6 of 18 labels negative · 4 of 6 models · 3 hard negative
“Frequent reports of unauthorized charges post-trial (e.g., $49 despite cancellation), poor/no customer support response, bugs/campaign errors, and a dated interface.” Grok 4.1 Fast, negative prompt
Madgicx27%
4 of 15 labels negative · 4 of 6 models · 2 hard negative
“Severe billing issues like auto-charging full annual fees ... Reddit calls it a "scam."” Grok 4.1 Fast, negative prompt
03What they cite
Citations exist only for the models that return a source list: four of the six in this edition.
Sites the answers cite
22 of 72 answers in this category came back with a source list, from 4 of 6 models: citations where the model returns them, or the search results it consulted. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 228 links across 128 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 2 models searched through a gateway that returned no source list on this edition.
7 answers · 11 citations · 3 models
7 answers · 11 citations · 2 models
vendor site · Clicks Geek6 answers · 15 citations · 2 models
6 answers · 9 citations · 2 models
5 answers · 6 citations · 2 models
4 answers · 6 citations · 2 models
3 answers · 3 citations · 1 model
vendor site · Wask3 answers · 3 citations · 1 model
vendor site · Cometly3 answers · 3 citations · 2 models
vendor site · Guideflow3 answers · 3 citations · 2 models
3 answers · 3 citations · 1 model
vendor site · Madgicx3 answers · 3 citations · 2 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
4 answers · 1 model
4 answers · 2 models
3 answers · 1 model
3 answers · 1 model
3 answers · 1 model
3 answers · 1 model
3 answers · 2 models
3 answers · 1 model
3 answers · 1 model
3 answers · 1 model
04How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ModelDirect“What is the best paid search and social ads management platform for a mid-market B2B company?”Paraphrase“Which PPC and paid social campaign management tool would you recommend to a mid-sized B2B company?”Comparative“What are the top paid search and social ads management platforms and how do they differ?”Budget-constrained“What is the best paid search and social ads management platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a paid search and social ads management platform. What should we look at?”Negative“Which paid search and social ads management platforms should I avoid or be cautious about?”
Claude Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
05The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Zero rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
Category-scoped readings
HubSpot read as HubSpot Ads
LinkedIn read as LinkedIn Campaign Manager
Unresolved, counted raw
AdCreative.ai / Pencil
AdScale
AdStage
AdsGo
American Digital Agency
Blobr.io
Blogclicker.com
Brainlabs
BuyerBridge
CHEQ
Clearbit Connect
Disruptive
FeedHive
HawkSEM
Hootsuite Ads Manager / AdEspresso
HubSpot Ads Software
HubSpot Ads Tool
Ignite Visibility
LinkedIn Campaign Mgr
Madience
Marcel Digital
Meta
Meta (Facebook)
Meta (Facebook/Instagram Ads)
Meta/YouTube
Microsoft/Bing Ads
NP Digital
NinjaCat
PPC Ad Lab
PPC Spy Bot
Perion One
Pinterest Ads Manager
PromoNavi
Semrush / SpyFu
Snapchat Ads Manager
SuperAds.ai
The Brief
Tinuiti
X (Twitter) Ads
Discontinued, still offered
No shut-down product was recommended here.