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Nivk.com

AI-powered SEO and Generative Engine Optimization (GEO) agency and platform. Two practices: e-commerce brands, where the work is on being cited when a shopper asks what to buy; and B2B companies, where the work is on being named when a buyer asks an assistant who to shortlist. We work on visibility in ChatGPT, Google AI Overview, Perplexity, Claude, and traditional search through content generation, keyword research, technical SEO, internal linking, and GEO automation.

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Authority
48 reach 0 · trust 8 · quality 25 · freshness 15
Tier
listed
llms.txt
https://nivk.com/llms.txt
llms-full.txt
https://nivk.com/llms-full.txt
Sections
19
Links
96
Size
13319 bytes
Registered
2025-05-11
Country
United States Hosting inference
Hosting country
United States Hosting inference
Country evidence
No published address evidence collected yet
Categories
Ecommerce · Marketing
For agents
Transactional: buying or booking an agent could carry out
First seen
2026-10-24T03:07:16.204Z
Last checked
2026-10-24T03:07:16.641Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-24T03:07:16.208Z. Cached copy · Source on nivk.com

# Nivk.com

> AI-powered SEO and Generative Engine Optimization (GEO) agency and platform. Two practices: e-commerce brands, where the work is on being cited when a shopper asks what to buy; and B2B companies, where the work is on being named when a buyer asks an assistant who to shortlist. We work on visibility in ChatGPT, Google AI Overview, Perplexity, Claude, and traditional search through content generation, keyword research, technical SEO, internal linking, and GEO automation.

Last updated: 2026-06-05. Canonical URL: <https://nivk.com/llms.txt>

## Core identity

- Preferred name: Nivk.com
- Legal name: Nivk GmbH
- Office: Wolfsweg 19, 74321 Bietigheim-Bissingen, Germany (Nivk.com headquarters)
- Canonical domain: <https://nivk.com>
- Entity type: Company
- Industry: AI SEO Tools, Generative Engine Optimization (GEO), E-commerce Marketing, B2B Demand Generation
- Audiences served: e-commerce brands (any platform) and B2B companies (software, manufacturing, professional services)

## Public profiles

- [X (Twitter)](https://x.com/nivk)
- [LinkedIn](https://www.linkedin.com/company/nivk/)
- [Instagram](https://www.instagram.com/nivk_com/)
- [TikTok](https://www.tiktok.com/@nivk_com)
- [Facebook](https://www.facebook.com/nivk)
- [Public profiles index (plain URL list)](https://nivk.com/public-profiles.txt)

## Description

Nivk.com is a Generative Engine Optimization (GEO) agency and platform. It runs two practices against the same underlying question: why does an AI assistant name one company and not another.

E-commerce practice. Nivk.com helps e-commerce brands on any platform get cited when a shopper asks ChatGPT, Google AI Mode, Perplexity or Claude what to buy. The work covers product and collection content, structured data, technical SEO, internal linking, and GEO automation. Deep Shopify experience, but not Shopify-only.

B2B practice. Nivk.com helps B2B companies get named when a buyer asks an assistant which vendors to shortlist. This is a different mechanism and is treated as one: for B2B queries assistants assemble a shortlist largely from third-party sources (review platforms, directories, comparison articles, documentation, community discussion) rather than from the vendor's own homepage. The work starts with a measured census of the prompts a client's buyers actually use, across four assistants, recording which vendors are named and which sources each answer cites.

Tagline: Get named in the answer.

Value proposition: Better rankings, more qualified demand, less time wasted. Strategy and implementation for visibility inside AI-generated answers.

## Primary pages

- [Homepage (apex)](https://nivk.com/), same English content as `/eng`; apex is canonical
- [Homepage (English locale)](https://nivk.com/eng/)
- [Blog](https://nivk.com/eng/blog/)
- [Journal: editorial GEO articles for Shopify](https://nivk.com/journal/)
- [Journal map for AI crawlers (llms.txt)](https://nivk.com/journal/llms.txt): every article + its clean Markdown
…

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