Every category where a model named Searchanise 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	12%	3 of 74	0%	9	under 10 labels · led by Algolia at 25%

Movement

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

Direct2 labelsNone

Paraphrase8 labels1

Comparative9 labels3not counted in share

Budget-constrained17 labels10

Scale-constrained0 labelsNone

Negative6 labels2not counted in share

First choiceAlternativeMentionNegative42 labels in all, every segment counted; 11 of the 16 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.

“1) Searchanise – a Shopify‑first search & merchandising app with a free plan (up to 25 products) and paid plans from $19/month.” GLM 4.7 FlashX · Ecommerce search · budget prompt · first choice

“Best For: Absolute best overall value, especially for stores with tight budgets and well-defined catalog sizes.” Gemini 3.5 Flash · Ecommerce search · budget prompt · first choice

“Doofinder and Searchanise are the top recommendations for small businesses on a tight budget” Mistral Small · Ecommerce search · budget prompt · first choice

“the best practical choice is usually Searchanise or a similar low-cost app-native search tool” Perplexity Sonar · Ecommerce search · budget 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 Searchanise, over the 42 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Searchanise was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Algolia35 of 424Not among the top eight

Doofinder33 of 4214Not among the top eight

Klevu21 of 422Not among the top eight

Bloomreach Discovery14 of 420Not among the top eight

Fast Simon13 of 421Not among the top eight

Searchspring13 of 421Not among the top eight

Clerk.io11 of 420Not among the top eight

Shopify Search & Discovery9 of 423Not among the top eight

Typesense7 of 421Not among the top eight

Constructor7 of 420Not 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 Searchanise. 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 42 of the 42 answers that named Searchanise and are not a share of its labels.

Domains cited

guideflow.com33

clerk.io22

ringly.io19

alhena.ai17

learn.g2.com16

zoovu.com16

netguru.com15

theretailexec.com15

doofinder.com14

g2.com14

181 of the 181 domain citations in answers naming Searchanise came from somebody else's page.

Pages cited

guideflow.com/blog/best-ecommerce-search-software33

alhena.ai/blog/best-ecommerce-search-engine17

netguru.com/blog/ecommerce-search-solutions-product-discovery15

ringly.io/blog/searchspring-alternatives15

theretailexec.com/tools/best-ecommerce-search-software15

zoovu.com/blog/best-ecommerce-search-engine15

learn.g2.com/best-e-merchandising-software14

marketmaze.me/p/tools-ecommerce-site-search14

Pages are listed as the models cited them.

Search and answers

searchanise.io is not in Google's top ten for any of the category's searches. In the answers, Searchanise takes 12% of first choices and Algolia takes 25%.

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In search

Google, US estimates

Position for “best ecommerce search and merchandising platform”

–

not in the top ten

Searches for its name, Google: 210 a month (“searchanise”)
AI search demand for its name, est.: 3 a month
Organic visits to its site: about 625 a month
Searches its site ranks for: 457 · 6 in the top three
Sites linking to it: 932
Paid Google search: No ads found in the estimate; that does not mean it runs none

Ads on Google

None found in Google's ad transparency records for the US

In answers

This edition

Share of first choices

12%

rank 3 of 74 in ecommerce search

Segment leader

25%

Algolia

First choices: 11 across its categories
Named in: 42 answers
Its own site cited: in 42 of the answers that named it

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

What it publishes

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Addresses on searchanise.io

787

subdomains included

Content

205

counted in the table below

Documentation

436

Product · Integration

15 · 0

Kind	Pages	Last 90 days	Latest	Categories named
Blog	174	17	2026-10-02	SEO, Ecommerce
Case study	20	1	2026-07-29
Comparison	7	1	2026-07-22
Glossary or explainer	3	0	2021-03-17
Report or ebook	1	0	2020-10-21

Most recent

2026-10-02Drawer layout filters magento woocommerce blog
2026-10-01Voice search bigcommerce blog
2026-09-16Wix search results page blog
2026-09-10Searchanise product reviews release blog
2026-08-19Expanding globally shopify markets blog
2026-08-18Bfcm prep timeline blog

How it is countedHide how it is counted

Every page searchanise.io exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read October 5, 2026.

Follow Searchanise

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

where Searchanise 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 Searchanise, 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.

Badges

Wins only: a badge exists where Searchanise is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.

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Searchanise is among the products AI models recommend first in Ecommerce search and merchandising this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.

Wide · 320 × 104 Website, beside other badges

Show the code

<a href="https://gtm-ai-index.com/marketing/ecommerce-search-and-merchandising/"><img src="https://gtm-ai-index.com/badges/2026-10/searchanise--ecommerce-search-and-merchandising-wide.svg" alt="Among AI models' top three in Ecommerce search and merchandising, October 2026 Edition, GTM AI Recommendation Index" width="320" height="104"></a>

Copy the code as it is. The link is part of the badge: it points at the Ecommerce search and merchandising standing, where the claim can be checked.

Square · 240 × 240 LinkedIn, slides

Show the code

<a href="https://gtm-ai-index.com/marketing/ecommerce-search-and-merchandising/"><img src="https://gtm-ai-index.com/badges/2026-10/searchanise--ecommerce-search-and-merchandising-square.svg" alt="Among AI models' top three in Ecommerce search and merchandising, October 2026 Edition, GTM AI Recommendation Index" width="240" height="240"></a>

Copy the code as it is. The link is part of the badge: it points at the Ecommerce search and merchandising standing, where the claim can be checked.

Compact · 200 × 56 Email signature, footer

Show the code

<a href="https://gtm-ai-index.com/marketing/ecommerce-search-and-merchandising/"><img src="https://gtm-ai-index.com/badges/2026-10/searchanise--ecommerce-search-and-merchandising-compact.svg" alt="Among AI models' top three in Ecommerce search and merchandising, October 2026 Edition, GTM AI Recommendation Index" width="200" height="56"></a>

Copy the code as it is. The link is part of the badge: it points at the Ecommerce search and merchandising standing, where the claim can be checked.

Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.