Index › Products › Google Lighthouse · October 2026 Edition

Google · 1 category · Named, not ranked

Google Lighthouse

15Judge labels

2First choices

1Negative labels

6 / 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

4 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Google Lighthouse was named 4 times in Website governance, where Siteimprove led with 25%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business20 of 78

under the label threshold

Mid-market8 of 98

under the label threshold

Enterprise61 of 84

under the label threshold

In website governance · 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 Google Lighthouse 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
Website governance and accessibility	Marketing	3%	8 of 98	0%	4	under 10 labels · led by Siteimprove at 25%

Movement

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

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Model	First choice	Alternative	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	1	1
Perplexity Sonar	0	0	0
Grok 4.1 Fast	1	1	2
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
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	0	0

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

Direct0 labelsNone

Paraphrase3 labelsNone

Comparative1 labelNone

Budget-constrained7 labels2

Scale-constrained0 labelsNone

Negative4 labels1not counted in share

First choiceAlternativeMentionNegative15 labels in all, every segment counted; 2 of the 3 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.

“free or low-cost tools like WAVE (by WebAIM) or Google's Lighthouse are excellent starting points” Grok 4.1 Fast · Website governance · budget prompt · first choice

“Start with free tools - WAVE, Lighthouse, WCAGsafe” GLM 4.7 FlashX · Website governance · budget prompt · first choice

“Use auditing tools like Google Lighthouse, WAVE, axe DevTools, or Microsoft Accessibility Insights (free, no overlays).” Grok 4.1 Fast · Website governance · negative prompt · alternative

“Lighthouse runs on the Axe core and allows you to audit pages in seconds” Gemini 3.5 Flash · Website governance · 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 Google Lighthouse, over the 15 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google Lighthouse was named but was not.

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ProductSame answerTook the first choice insteadHead to head

accessiBe13 of 151Not among the top eight

UserWay12 of 153Not among the top eight

axe DevTools12 of 150Not among the top eight

Siteimprove11 of 152Not among the top eight

Wave10 of 151Not among the top eight

Silktide8 of 150Not among the top eight

AudioEye7 of 150Not among the top eight

Pa11y5 of 151Not among the top eight

EqualWeb5 of 150Not among the top eight

Monsido5 of 150Not 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 Google Lighthouse. 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 15 of the 15 answers that named Google Lighthouse and are not a share of its labels.

Domains cited

g2.com11

accessibilitychecker.org10

us.fitgap.com8

silktide.com7

testparty.ai7

accessibe.com6

webtonic.io6

accessibilitychecker.com5

audioeye.com5

accessible.org4

Sixty-nine of the sixty-nine domain citations in answers naming Google Lighthouse came from somebody else's page.

Pages cited

accessibilitychecker.org/blog/best-accessibility-testing-tools7

webtonic.io/blog/best-website-accessibility-ada-tools6

g2.com/categories/Digital-accessibility-platforms/small-business5

accessibilitychecker.com/news/best-siteimprove-alternatives4

accessibilitychecker.org/blog/siteimprove-alternatives4

silktide.com/blog/best-free-web-accessibility-toolbars4

silktide.com/blog/best-web-governance-platforms4

testparty.ai/blog/ada-compliance-tools-websites-ecommerce4

Pages are listed as the models cited them.

Names read as Google Lighthouse

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

Google's Lighthouse 1

Follow Google Lighthouse

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

Google is the company behind Google Lighthouse.

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On record

Wikidata

Website: google.com
Headquarters: Mountain View, California, United States
Founded: 1998
Ownership: Part of Alphabet Inc.
Also from Google: Adometry, Attribution 360, BigQuery, Firebase, Google ADH, Google Ad Manager, Google AdMob, Google AdSense and 81 more

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

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 Google Lighthouse'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 Google Lighthouse, 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 Google Lighthouse by email, built from the raw record of the edition. It shows:

where Google Lighthouse 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 Google Lighthouse, 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.