GTM AI Index

Index › Products › Hawksearch · October 2026 Edition

1 category · Named, not ranked

Hawksearch

18Judge labels

8First choices

2Negative labels

9 / 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

8 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Hawksearch was named 8 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 business11 of 86

under the label threshold

Mid-market6 of 74

under the label threshold

Enterprise5 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 Hawksearch 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	8%	6 of 74	0%	8	under 10 labels · led by Algolia at 25%

Movement

This is the first edition on this tier, so no move can be computed for Hawksearch 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 Hawksearch 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	Mention	Labels
Claude Haiku 4.5	1	0	0	1
GPT-5.4 mini	1	0	0	1
Gemini 3.5 Flash	2	0	0	2
Perplexity Sonar	0	0	0	0
Grok 4.1 Fast	0	0	0	0
Mistral Small	0	1	0	1
DeepSeek V4 Flash	0	0	0	0
Llama 4 Maverick	0	1	0	1
Qwen 3.7 Flash	0	0	0	0
Kimi K2	0	0	0	0
GLM 4.7 FlashX	0	0	0	0
MiniMax M2.5	0	0	1	1
GPT-6 Luna	0	1	0	1
Muse Glimmer 30B	0	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

Direct13 labels6

Paraphrase3 labels2

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative2 labelsNone

First choiceAlternativeMentionNegative18 labels in all, every segment counted; 8 of the 8 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.

“HawkSearch: Best for Deep Technical, Industrial, & Distributor Catalogs ... If you sell highly complex parts, tools, or industrial equipment ... HawkSearch is your best bet” Gemini 3.5 Flash · Ecommerce search · paraphrase prompt · first choice

“If you are a distributor or manufacturer with thousands of complex catalog parts: Go with HawkSearch.” Gemini 3.5 Flash · Ecommerce search · direct prompt · first choice

“the strongest default choice is usually Hawksearch” GPT-5.4 mini · Ecommerce search · direct prompt · first choice

“1. HawkSearch (Top recommendation)” Claude Haiku 4.5 · Ecommerce search · paraphrase prompt · first choice

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 Hawksearch, over the 18 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Hawksearch was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Algolia10 of 181Not among the top eight

Klevu8 of 182Not among the top eight

Bloomreach Discovery5 of 181Not among the top eight

Coveo5 of 180Not among the top eight

Searchspring4 of 181Not among the top eight

Nosto4 of 180Not among the top eight

Clerk.io3 of 181Not among the top eight

Constructor.io3 of 181Not among the top eight

Athos Commerce3 of 180Not among the top eight

Salesforce Commerce for B2B3 of 180Not 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 Hawksearch. 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 18 of the 18 answers that named Hawksearch and are not a share of its labels.

Domains cited

guideflow.com11

learn.g2.com11

clerk.io7

g2.com7

ringly.io6

zoovu.com6

constructor.com5

netguru.com5

algolia.com4

bcloud.ai4

Sixty-six of the sixty-six domain citations in answers naming Hawksearch came from somebody else's page.

Pages cited

learn.g2.com/best-e-merchandising-software10

guideflow.com/blog/best-e-merchandising-software9

guideflow.com/blog/best-ecommerce-search-software6

zoovu.com/blog/best-ecommerce-search-engine6

constructor.com/blog/ecommerce-search-product-discovery-solutions5

netguru.com/blog/ecommerce-search-solutions-product-discovery5

ringly.io/blog/attraqt-alternatives5

clerk.io/blog/best-product-discovery-tools-ecommerce-20264

Pages are listed as the models cited them.

Names read as Hawksearch

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

HawkSearch 3HawkSearch (by Bridgeline) 1

Follow Hawksearch

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

where Hawksearch 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 Hawksearch, 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.