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Marketing & Sales

LLM visibility and generative search

Ensure your brand is selected, cited, and trusted by AI-powered search engines and Large Language Models. We build strategies to boost brand authority and dominate visibility in AI-generated answers.

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LLM Visibility & generative search optimization – Thumbnail
LLM visibility and generative engine optimization

Stay visible in the age of AI-driven discovery

Search is shifting from links to answers.

With over 30% of U.S. search activity already happening in large language models, brands risk disappearing from customer journeys if they aren’t surfaced in AI-generated responses. OMMAX helps you build algorithmic brand equity, ensuring your company is not only mentioned but accurately represented when LLMs provide recommendations. We combine content architecture, structured data, and AI-friendly source strategies to maximize your share of voice in generative platforms like ChatGPT, Perplexity, and Google Gemini. In a winner-takes-all landscape where AI often cites only one or two brands per query, visibility is crucial for long-term success.

Our offering

Maximize your algorithmic brand equity in AI answers

01

LLM visibility analysis

Measure how often your brand is cited across generative platforms, track competitors, and uncover growth opportunities.

02

LLM readiness

Assess the readiness of your owned content concerning semantical, technical, and structural aspects.

03

Trust and reputation strategy

Identify relevant 3rd party platforms and create a strategy for owned and user-generated content leadership.

04

Multimodal content strategy

Understand content gaps and develop a comprehensive strategic omnichannel roadmap so LLMs can identify, verify, and cite you as an authoritative source in relevant queries.

05

Paid campaign and bidding infrastructure

Understand your brand’s readiness in AI-driven paid capabilities, with special focus on automation-ready structures and dynamic creative strategies.

06

Zero-click conversion design

Adapt your funnels to capture value even when users don’t visit your site, using AI-native placements and partnerships.

07

Omnichannel execution

Implement, test, and scale the digital measures to increase your algorithmic brand equity and boost LLM visibility.

Our impact

Creating lasting value through integrated expertise and proven service excellence

4,000+
Tech, Data and AI projects
90+
net promoter score
50+
countries covered
600+
international clients
Case study

Westwing: Harnessing AI for content creation and optimization

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How we harnessed AI for content creation and optimization

Westwing discovered untapped potential within their e-commerce category pages and sought to enrich them with high-quality content for improved SEO value and revenue. OMMAX built an AI-based MVP leveraging multiple data sources and Large Language Model technology to optimize pages with poor or missing content, streamlining content creation processes.

50%

efficiency increase in content creation

Opportunities

The window of opportunity is open now

01

The rules of customer activation and acquisition are being rewritten. First movers will profit heavily from the legacy they build now.

02

Whilst many companies still struggle to understand how to increase their algorithmic brand equity, first movers can build competitive moats.

03

Complexity is increasing significantly. Brands focusing on omni-channel orchestration will profit strongly in today's and future customer acquisition.

04

New tools and strategies emerge on a daily basis — having a clear roadmap and tech stack top of mind will be more crucial than ever

05

Investing in AI-backed LLM visibility can significantly increase marketing efficiency, as the right combination of data, tech, and AI enables moderate production costs.

06

Especially in paid customer acquisition, it is important to start training the algorithms for AI-friendly campaign types to boost sales.

Why OMMAX

Strategic foresight, proven execution

01

AI-first approach

We integrate LLM visibility strategies into broader digital transformation programs for maximum impact.

02

Proprietary frameworks

Our algorithmic brand equity model is built on deep research and real-world brand performance data.

03

Cross-industry success

Experience in sectors from retail to B2B services ensures strategies tailored to your market realities.

04

End-to-end delivery

From audit to measurement, we manage every step to secure and grow your AI-era presence.

The traditional customer journey is being completely reimagined as people increasingly turn to AI systems rather than search engines for guidance on everything from purchasing decisions to health advice. Are brands ready for this new paradigm? 

Dr. Stefan Sambol

Dr. Stefan Sambol
Founding Partner

Get in touch

Future-proof your brand visibility! Talk to our experts.

Dr. Stefan Sambol

Dr. Stefan Sambol

Founding Partner

Dr. Felix Marcinowski

Dr. Felix Marcinowski

Partner Digital GTM & AI

Tatjana Horch

Tatjana Horch

Director Digital Marketing

Frequently asked questions

Everything you need to know about LLM visibility & generative search engine optimization

With AI often citing only one or two brands per query, visibility drives disproportionate market share. Without it, you risk being absent from customer decision paths.

Algorithmic brand equity is your brand’s strength and authority as recognized by AI systems. It determines whether LLMs select and recommend you in their responses. 

We track your mention share-of-voice across major AI platforms, analyze citation contexts, and benchmark against competitors. 

Some improvements can be seen in days, but building sustained algorithmic brand equity is a long-term investment.

Yes. We adapt strategies to comply with industry-specific regulations while maintaining AI visibility. 

LLM visibility is the ability of your brand to appear, be cited, and be accurately represented in AI-generated search results and conversational answers from large language models.

Once we've identified where a brand's visibility and algorithmic equity fall short, OMMAX closes the gap through structured content, technical SEO, and ecosystem strategy. This means restructuring content so AI platforms can parse and cite it accurately, strengthening the technical signals that establish topical authority, and building the third-party presence and citations that AI systems draw on when forming an answer. Together, these interventions increase how often a brand is mentioned, correctly represented, and recommended across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews for commercially relevant queries.