Index › Products › Meta Ad Library · October 2026 Edition

Meta · 1 category · Named, not ranked

Meta Ad Library

14Judge labels

2First choices

1Negative labels

8 / 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.

Standing

5 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Meta Ad Library was named 5 times in Competitive intel, where Kompyte led with 38%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business8 of 85

under the label threshold

Mid-market17 of 86

under the label threshold

Enterprisenot named

No model named it for this buyer.

In competitive intel · 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 Meta Ad Library 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
Competitive intelligence tools	Marketing	0%	17 of 86	0%	5	under 10 labels · led by Kompyte at 38%

Movement

This is the first edition on this tier, so no move can be computed for Meta Ad Library 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 Meta Ad Library across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	1	0	1
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	1	0	1
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	1	0	1
Kimi K2	0	0	0
GLM 4.7 FlashX	1	0	1
MiniMax M2.5	0	0	0
GPT-6 Luna	0	0	0
Muse Glimmer 30B	0	1	1

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

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained9 labels2

Scale-constrained1 labelNone

Negative3 labelsNone

First choiceAlternativeMentionNegative14 labels in all, every segment counted; 2 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.

“Bookmark the Meta Ad Library and your competitors' G2 profiles” Gemini 3.5 Flash · Competitive intel · budget prompt · alternative

“Legally free access to live competitor ad creatives across platforms” Qwen 3.7 Flash · Competitive intel · budget prompt · alternative

“Combine free tools (Google Alerts, Meta Ad Library, Visualping)” DeepSeek V4 Flash · Competitive intel · budget prompt · alternative

“Meta Ad Library + Google Ads Transparency for ad intelligence” GLM 4.7 FlashX · Competitive intel · budget 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 Meta Ad Library, over the 14 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Meta Ad Library was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Google Alerts14 of 141Not among the top eight

Visualping13 of 141Not among the top eight

SpyFu11 of 141Not among the top eight

Semrush10 of 140Not among the top eight

Kompyte9 of 144Not among the top eight

Crayon8 of 140Not among the top eight

Klue8 of 140Not among the top eight

Owler7 of 140Not among the top eight

Ahrefs6 of 140Not among the top eight

AlphaSense5 of 140Not 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 Meta Ad Library. 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 13 of the 14 answers that named Meta Ad Library and are not a share of its labels.

Domains cited

linkeddit.com8

miniloop.ai8

improvado.io7

pipeline.zoominfo.com7

prospeo.io7

visualping.io7

blog.hootsuite.com6

contify.com6

marketintelligencetools.com6

divbyzero.com5

Sixty-seven of the sixty-seven domain citations in answers naming Meta Ad Library came from somebody else's page.

Pages cited

linkeddit.com/blog/competitive-intelligence-software-for-small-businesses8

miniloop.ai/blog/competitive-intelligence-tools8

improvado.io/blog/32-best-competitive-intelligence-companies7

visualping.io/blog/top-free-competitive-intelligence-tools7

pipeline.zoominfo.com/sales/competitive-intelligence-software6

blog.hootsuite.com/competitive-intelligence-software5

contify.com/resources/blog/best-competitive-intelligence-tools5

divbyzero.com/blog/best-competitive-intelligence-tools5

Pages are listed as the models cited them.

Names read as Meta Ad Library

What the judge wrote, as written, with how often. The vendor table decides that these count as Meta Ad Library; a claim can dispute any of them.

Meta Ad Library + Google Ads Transparency Center 1Meta's Ad Library 1

Follow Meta Ad Library

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.

The company

Meta Platforms is the company behind Meta Ad Library.

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On record

Wikidata

Website: meta.com
Headquarters: Menlo Park, United States
Founded: 2004
Employees: about 58,604 (2020)
Ownership: Public, META on Nasdaq
Also from Meta: Meta (Facebook) Ads, Meta (Facebook/Instagram) Video Ads, Meta AI, Meta Ads, Meta Advanced Analytics, Meta Advantage+, Meta Advantage+ App Campaigns, Meta Attribution and 11 more

Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn · Crunchbase

Is this your product?

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 Meta Ad Library'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 Meta Ad Library, 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 Meta Ad Library by email, built from the raw record of the edition. It shows:

where Meta Ad Library 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 Meta Ad Library, 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.