AI SEO & GEO Optimization

Get your brand into the answers AI gives. We optimize your content and authority signals so ChatGPT, Perplexity, and Google AI recommend you — not your competitors.

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ChatGPT referral traffic

+688%

Perplexity referral traffic

+268%

Bing organic traffic

+726%

Citations

780+

What Is LLM Reputation Management

When someone asks ChatGPT “which brand should I trust,” the answer is shaped by citations, reviews, and third-party signals — not your website. LLM Reputation Management means auditing and actively building those signals so AI models present your brand accurately, positively, and confidently. We identify where your reputation breaks down inside LLMs, eliminate hallucinations, and replace them with authoritative narratives that AI trusts — and repeats.

What’s Included

LLM Brand Strategy

Citation Building Campaign

We place authoritative mentions of your brand on the sources LLMs actually train on and cite.

Wikipedia & Knowledge Graph Optimization

We build and optimize your brand’s structured presence so AI models have clean, trusted data to pull from.

Review & Sentiment Management

We monitor and shape the sentiment signals that influence how LLMs characterize your brand.

Third-party Mention Boost

We amplify your brand across forums, publications, and directories that feed LLM training data.

Crisis & Hallucination Fix

We identify and neutralize false, outdated, or damaging AI-generated claims about your brand.

Challenges We Solve

You have a great product but ChatGPT and Perplexity consistently name someone else when users ask for recommendations.

LLMs spread false information

AI models hallucinate outdated pricing, wrong founders, or damaging claims — and users believe it.

Your brand is invisible to AI

Your brand exists online but LLMs don’t cite, mention, or recommend you in any category.

Negative sentiment is baked in

A past PR issue or bad reviews have trained LLMs to associate your brand with risk or doubt.

Negative sentiment is baked in

AI models can’t confidently describe what you do because your Knowledge Graph and entity data are weak.

Post-crisis reputation damage

A reputation crisis left traces across the web that LLMs still reference — hurting trust and recommendations.

Testimonials

Vladyslav Nykytenkov

CEO @ Bulls Agency

Thanks to STIVE's efforts, the client saw an 80% increase in organic traffic, a 5.74x ROAS, and top 1-2 positions in LLM-generated answers for key industry queries. The team was well-organized, responsive, and proactive. Moreover, STIVE's expertise in GEO and LLM visibility was impressive.
Konstantin Skorosov

CCO @ Math Agency

We started working with the team three months ago, and the results surprised us. In the first month, we began showing up in AI-generated answers for a couple of our target queries. By month three, we were consistently ranking at the top in ChatGPT and Perplexity for the keywords that actually matter to us. The team is communicative, sets realistic expectations, and delivers. Worth every penny.
Gennadii Isaev

CEO @ Math Agency

STIVE's work significantly increased the client's brand citations across major AI models and helped the client become a top-3 recommendation for their primary services. The team was professional, communicative, and responsive throughout the engagement. Customers can expect a knowledgeable partner.
Nathalie Philippova

BDM Lead @ Why SEO Serious

STIVE delivered a comprehensive audit report, enabling the client to understand the end customer's AI visibility across search engines. The team was structured, punctual, and responsive. They provided practical recommendations to improve the customer's visibility based on their testing and budget.

Frequently Asked Questions

It’s the process of auditing and shaping how AI models like ChatGPT, Perplexity, and Gemini describe and recommend your brand — through citation building, sentiment management, and structured data optimization.
Yes. AI hallucinations usually happen when a model faces a data void or encounters conflicting, outdated information about your company across the web. We map out what the models are misrepresenting, identify the flawed source signals, and inject highly consistent, authoritative, and structured data across the platforms that AI models trust most. This grounds the LLM in accurate facts and significantly reduces or eliminates false claims.
Traditional ORM focuses on search engine results pages (SERPs), review platforms, and media coverage to suppress negative links. LLM Reputation Management (or GEO — Generative Engine Optimization) targets the training data, index sources, and retrieval mechanisms that AI models use to synthesize answers. Instead of trying to rank a link on the first page of Google, we ensure your brand is naturally integrated into the conversational responses generated by AI.
We monitor and optimize visibility across all major generative engines and LLMs, including OpenAI's ChatGPT, Google's Gemini, Perplexity AI, Anthropic's Claude, Microsoft Copilot, and Meta AI, as well as specialized enterprise search models. Our strategies target both static model weights and real-time retrieval networks.
While AI models update their core knowledge bases during major retraining cycles, many modern LLMs rely on real-time web retrieval (RAG — Retrieval-Augmented Generation) to answer current queries. Changes in real-time AI search engines like Perplexity or ChatGPT Plus can often be seen within a few weeks as we optimize your digital footprint, clean up structured data, and secure high-authority citations that these models actively crawl.
Not at all. In fact, newer or growing brands have a unique advantage: you have less digital "clutter" and historical inconsistencies to clean up. Starting early allows you to build a clean, highly optimized, and AI-friendly digital footprint from the ground up, ensuring that when LLMs map out your industry sector, your brand is positioned as a primary authority right from the start.