Brand Positioning Audits

What is Included in Your LLM Brand Positioning Audit

Public LLMs are rapidly becoming the front end of search, research, and business discovery. When a user asks ChatGPT or Claude, 'What does [Your Company] do?' or 'Is [Your CEO] credible?', the answer they receive becomes their new perception of your brand. If the response is wrong, vague, or framed with skepticism or bias, you're already losing trust without ever knowing it.

If your competitor is being positioned as a category leader and you're listed as an afterthought—or worse, omitted altogether—you may never get the chance to win that lead, investor, or partnership. Likewise, if your company or founder is being confused with someone else, misquoted, or framed with negative sentiment, it can have downstream effects on media narratives, recruiting, and investor due diligence.

Each audit from LLM.co provides deep, actionable insights into how large language models are portraying your brand—and what to do about it. Here's what's included in every engagement:

Entity Recognition Accuracy

We test whether your brand, product, or executive is correctly identified and distinguished from similarly named entities. If the model is confusing your founder with someone else, omitting your brand altogether, or merging your identity with another company, we'll catch it—and show you why it's happening.

Tone & Emotion Detection

Beyond raw facts, we assess how your brand feels in LLM outputs. Is the language skeptical, enthusiastic, formal, or dismissive? We use a combination of sentiment scoring and narrative analysis to decode the subtle emotional framing that influences user trust and perception.

Risk Flagging & Hallucination Detection

We identify factual inaccuracies, outdated claims, and hallucinated information that could harm your reputation or create confusion. Whether it's incorrect leadership info, phantom product features, or false claims about funding or geography, we flag all inconsistencies and rank them by severity.

Discovery

We begin with a short discovery call to understand your brand, business model, and strategic priorities. You'll share basic details about your company, known competitors, key executives, core products, and any areas of concern (such as prior misrepresentation or negative AI summaries). This step allows us to tailor the audit scope and ensure we test across the entities and narratives that matter most to your brand.

Model Output Analysis

Once the raw AI responses are collected, our team manually analyzes each output for factual accuracy, emotional tone, implicit bias, and framing. We cross-reference these outputs with your official messaging, bios, and brand assets to identify mismatches, hallucinations, omissions, or subtle shifts in how you're being positioned. We also identify trends across models—for example, whether one consistently under-represents your strengths or favors a competitor.

Remediation Support

If the audit reveals gaps, risks, or missed opportunities, we can support you with follow-up services to correct and reinforce your positioning. This includes structured content creation, corpus injection, synthetic anchor development, and knowledge graph optimization. We don't just diagnose—we help fix the problem, reshape perception, and ensure LLMs represent you the way they should.

Object Optimization

If your brand name, product, or leadership team is being confused with other entities—or if you're simply absent from AI responses—this service helps fix the root cause. We optimize how your brand and key people are recognized, disambiguated, and described across AI systems by aligning structured data, schema markup, and public reference sources. From resolving name collisions to correcting factual inaccuracies, object optimization ensures the AI gets your identity right, every time.

AI Executive Bio Rewrites

We rewrite and structure executive bios to match the formats and data signals LLMs use when summarizing individuals. These rewrites aren't just for your website—they're designed to be cited by AI, using consistent entity linking, tone, and semantic cues that reduce hallucination and disambiguate identities. Ideal for founders, CEOs, public figures, or investors whose digital profiles are either incorrect, missing, or poorly framed in model outputs.

Why LLM.co?

LLM.co is the first AI-native agency purpose-built for Large Language Model Optimization (LLMO). We understand how AI models perceive, summarize, and retrieve brand identity—and we've helped SaaS platforms, public companies, and high-growth startups take back control over how they're described.

Our team includes prompt engineers, semantic SEO experts, content strategists, and data analysts with deep understanding of how LLMs form narratives. We don't just audit your brand—we help you fix it, strengthen it, and make sure AI tells your story the way you want it told.

From One-Time Audit to Ongoing AI Share of Voice

A single audit captures a moment—but generative engines retrain, update retrieval indexes, and shift citation sources on a continuous basis. That means your brand's standing inside ChatGPT or Perplexity today may look meaningfully different in ninety days. Pairing an initial audit with prompt monitoring turns a static snapshot into a live share-of-voice benchmark: tracking how often your brand is cited versus competitors, across which model versions, and under what framing. This longitudinal view is what separates reactive reputation management from a proactive AI visibility strategy.

The core metric to track is AI share of voice—the percentage of relevant conversational queries in your category where your brand appears in the generated answer. Organizations that monitor this continuously can detect early drift in sentiment or citation frequency before it compounds into a structural positioning deficit. Combined with LLMO best practices, ongoing measurement closes the loop between the audit findings and the remediation work that follows.