GTM AI Index

Index › Products › Typesense · October 2026 Edition

1 category · Named, not ranked

Typesense

15Judge labels

1First choices

0Negative labels

7 / 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

7 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Typesense was named 7 times in Ecommerce search, where Algolia led with 25%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business9 of 86

under the label threshold

Mid-market21 of 74

under the label threshold

Enterprise40 of 88

under the label threshold

In ecommerce search · 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 Typesense 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
Ecommerce search and merchandising	Marketing	0%	21 of 74	0%	7	under 10 labels · led by Algolia at 25%

Movement

This is the first edition on this tier, so no move can be computed for Typesense 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 Typesense 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	0	0	0
Perplexity Sonar	2	0	2
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	1	1
Kimi K2	1	2	3
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

Paraphrase2 labels1

Comparative2 labelsNone

Budget-constrained6 labelsNone

Scale-constrained1 labelNone

Negative4 labelsNone

First choiceAlternativeMentionNegative15 labels in all, every segment counted; 1 of the 1 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.

“Open-source search like Meilisearch, Typesense, or Elasticsearch can be cheaper on software cost” Perplexity Sonar · Ecommerce search · budget prompt · alternative

“Open‑source, self‑hosted: free... Best for: Teams with internal expertise who can host and maintain the stack.” GLM 4.7 FlashX · Ecommerce search · budget prompt · alternative

“self-hosted Meilisearch, Typesense, or Elasticsearch if you have engineering capacity” Perplexity Sonar · Ecommerce search · negative prompt · alternative

“Open-source, predictable cost | Developer teams wanting control” Kimi K2 · Ecommerce search · negative 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 Typesense, over the 15 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Typesense was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Algolia14 of 154Not among the top eight

Meilisearch12 of 150Not among the top eight

Klevu11 of 152Not among the top eight

Bloomreach Discovery8 of 151Not among the top eight

Searchanise7 of 153Not among the top eight

Elasticsearch7 of 150Not among the top eight

Nosto7 of 150Not among the top eight

Doofinder6 of 153Not among the top eight

Searchspring5 of 151Not among the top eight

Constructor5 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 Typesense. 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 14 of the 15 answers that named Typesense and are not a share of its labels.

Domains cited

aiproductivity.ai10

guideflow.com8

netguru.com8

clerk.io7

cs-cart.com7

ringly.io7

algolia.com6

g2.com6

gitnux.org6

searchanise.io6

Seventy-one of the seventy-one domain citations in answers naming Typesense came from somebody else's page.

Pages cited

aiproductivity.ai/blog/best-ecommerce-search-tools10

guideflow.com/blog/best-ecommerce-search-software8

netguru.com/blog/ecommerce-search-solutions-product-discovery8

cs-cart.com/blog/best-ecommerce-search-engines7

gitnux.org/best/ecommerce-merchandising-software6

clerk.io/blog/choosing-search-engine-in-20265

ringly.io/blog/searchspring-alternatives5

zoovu.com/blog/best-ecommerce-search-engine5

Pages are listed as the models cited them.

Follow Typesense

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.

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

where Typesense 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 Typesense, 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.