Industry

LLM Reputation Management

Your reputation inside AI isn't managed by you — yet. We audit and rebuild the signals that shape what AI says, so the answer users get is accurate and consistent.

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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 isn't pulled from your website. It's assembled from citations, reviews, forum threads, and third-party signals scattered across the web — most of which you've never thought to manage.

LLM Reputation Management is the work of auditing those signals and deliberately building better ones. We find where your reputation breaks down inside AI models, fix what's false, and replace weak or damaging narratives with authoritative ones that AI trusts and repeats. If you've ever seen a competitor described more favorably than you by an AI that clearly doesn't know the full picture — this is how you fix that.

What’s Included

LLM Brand Strategy

We map how AI models currently position your brand and define exactly what they should be saying instead. Every signal we build from that point has a clear strategic purpose.

Citation Building Campaign

We place authoritative mentions of your brand on the sources LLMs actually train on and cite — publications, databases, and industry platforms that carry real weight with AI models.

Wikipedia & Knowledge Graph Optimization

We build and clean up your brand's structured presence so AI models have accurate, verified data to pull from. Weak or missing entity data is one of the most common reasons brands get misrepresented by AI.

Review & Sentiment Management

We monitor the sentiment signals across review platforms and shape them over time — turning a mixed or negative signal pattern into one that consistently tells AI your brand is worth recommending.

Third-party Mention Boost

We grow your brand's footprint across forums, publications, and directories that feed LLM training data. The more credible places your brand appears, the more confidently AI references it.

Crisis & Hallucination Fix

We track down the specific false, outdated, or damaging claims AI generates about your brand and build corrective signals in the sources those models trust. Not a patch — a proper fix.

Challenges We Solve

AI describes your brand inaccurately

Wrong pricing, wrong founders, wrong market position. AI models fill gaps with whatever they find — and what they find isn't always right. Users believe it anyway.

Competitors get recommended, you don't

You have a stronger product but AI keeps naming the same few brands. The difference usually isn't product quality — it's the signal layer those brands have built and you haven't.

Your brand is invisible to AI

You exist online, but LLMs don't cite, mention, or recommend you in any category. To AI, a brand with weak signals and a brand that doesn't exist look about the same.

Negative sentiment is baked in

A past PR issue or a wave of bad reviews trained LLMs to associate your brand with doubt. That bias doesn't fade on its own — it has to be actively replaced.

AI can't accurately describe what you do

Models struggle to explain your product clearly because your Knowledge Graph and entity data are incomplete. The result is vague, generic descriptions that don't convert.

Post-crisis damage is still showing up

The crisis is over but AI is still referencing it. Old articles, archived threads, and cached signals keep feeding models the version of your brand you've worked hard to move past.

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 rebuilding the signals — citations, mentions, sentiment, entity data — that determine how AI models describe and recommend your brand. Think of it as PR, but for the layer of the internet that AI actually reads.
Traditional ORM targets what humans see in Google results. LLM Reputation Management targets what AI models learn from — Knowledge Graphs, Wikipedia, authoritative publications, forum sentiment. Different sources, different logic, different work.
Yes. We identify the specific false claims models generate about your brand and build corrective signals in the sources those models weight most heavily. It takes time, but it works.
We work on the signal layer that feeds all major LLMs — ChatGPT, Perplexity, Claude, Google Gemini, and others. They train on largely overlapping sources, so fixing the signal layer affects them all.
Most clients see measurable shifts in AI responses within 2 to 3 months. Reputation signals build on each other — the earlier you start, the more durable the position you build.
No. Smaller and niche brands often see faster results because the AI signal layer in their category is less competitive. Getting in early means less to displace and more room to own the narrative.