LLM Sentiment & Brand Positioning Audit Services
Your Brand Has an AI Reputation. Let’s Make Sure It’s Accurate.
ChatGPT, Claude, Gemini, and Perplexity aren’t just answering questions—they’re shaping public perception. Whether users are researching your brand, comparing solutions, or casually asking about your founder, the way LLMs describe you now defines your digital reputation. But is that description right? Is it positive? Is it even you?
At LLM.co, we offer Sentiment & Brand Positioning Audits to help companies understand exactly how AI models describe their brand, how they compare it to competitors, and what underlying tone, sentiment, and sources are driving those outputs. Then, we give you the strategy to take control.
Our LLM Sentiment & Brand Positioning Audits reveal how ChatGPT, Claude, Bard, and Perplexity describe your brand—tone, facts, competitors, and all.
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:
Multi-Model Sentiment & Summary Testing
We run a suite of proprietary prompts across the top public LLMs—ChatGPT (with browsing), Claude 3, Gemini 1.5, and Perplexity—to analyze how your brand is described in natural conversation. We evaluate the tone, factual accuracy, and overall sentiment of each response to determine whether you're being positioned positively, neutrally, or negatively by the model.
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.
Comparative Positioning Analysis
We analyze how the models describe your brand relative to competitors. Are you presented as a market leader, an emerging player, or a footnote? Do the models favor your competitor's features or highlight your differentiators? You'll get a clear look at how your positioning stacks up in the AI-powered comparison layer.
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.
Content Fragment Analysis
We investigate which public sources and citation patterns are driving what LLMs say about you. Are they referencing your official website, outdated media coverage, scraped directories, or random blog posts? Understanding which content is shaping your brand summaries gives you a roadmap to reclaim narrative control.
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.
Prompt Audit & LLM Optimization Services
If your current AI prompts aren’t delivering the results you need, our Prompt Audit & Optimization service is designed to help. Simply send us your existing prompts, and we’ll analyze them to identify structural weaknesses, inconsistencies, or missed opportunities. We then rewrite each prompt for improved clarity, tone, and performance—tailored to the specific LLMs you're using, whether that's GPT, Claude, or another platform.
Every LLM audit includes detailed before-and-after comparisons and annotated explanations of our changes, so you can understand what works and why. It’s the perfect solution for teams already leveraging AI but looking to take their output quality to the next level.
How It Works
Our LLM Sentiment & Brand Positioning Audit process is fast, secure, and fully human-reviewed. We combine technical prompt testing with deep brand analysis to give you actionable insights with minimal lift from your team. Here's what you can expect:
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.
Prompt Suite Execution
Next, we run a proprietary set of prompts across top public language models: ChatGPT (with browsing enabled), Claude 3, Gemini 1.5, and Perplexity. These prompts are designed to simulate real-world AI usage—questions a potential customer, journalist, investor, or job candidate might ask. We test how the models describe your brand, leadership, product, mission, and competitive positioning using both zero-shot and few-shot configurations.
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.
Sentiment & Positioning Report
You’ll receive a professionally designed PDF report that includes screenshots of all model outputs, summarized insights, comparative framing breakdowns, tone evaluations, and a clear scoring system. The report also includes direct citations from models and visual indicators showing which areas are most at risk or in need of correction. Every report includes actionable recommendations on how to improve or influence your AI brand presence going forward.
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.
Optional Add-Ons
For brands that want to act quickly on the findings of their audit, we offer a suite of services to correct, reinforce, and influence how large language models describe and retrieve your brand across the AI ecosystem:
Synthetic Anchor Creation
We strategically seed your brand across AI-visible content surfaces using carefully constructed semantic anchor phrases. These aren’t traditional backlinks—they’re structured, natural-language references that link your brand to related terms, technologies, and verticals. By embedding these anchors in authoritative third-party content, blog-style narratives, and wiki-style references, we help large language models build the right associations and cite you more consistently in conversational responses. This service is essential for improving brand retrieval and contextual presence in tools like ChatGPT, Claude, and Perplexity.
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.
Corpus Injection
Public LLMs like ChatGPT and Claude learn from the open web. If your voice isn’t part of that training data—or isn't strong enough to stand out—you won’t be cited. Corpus Injection solves this by creating and publishing structured, high-authority content across the public web. These assets are tuned for AI ingestion, using schema, structured formatting, and semantically rich phrasing that models favor. The result is improved visibility, inclusion, and positioning within AI-generated answers.
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.
Knowledge Graph Entity Linking
We strengthen your brand’s connection to machine-readable knowledge graphs like Wikidata, Crunchbase, Google’s Knowledge Panel, and other structured datasets that LLMs rely on to resolve identity and source attribution. This involves verifying and completing your entity metadata, adding SameAs links, and improving alignment between your public profiles and known sources. The result is stronger entity confidence across models—and less ambiguity in how you’re represented in AI-generated summaries.
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.
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FAQs
Frequently asked questions about our LLM Sentiment & Brand Positioning Audit Services
Yes. Every audit includes a detailed PDF with screenshots, summaries, comparative analysis, and actionable recommendations.
Absolutely. You tell us who your key competitors are, and we run head-to-head positioning and tone evaluations across the models.
Yes, especially if paired with one of our remediation services. The audit gives you the map—then we help you implement the fix if desired.
We recommend quarterly or biannually, especially after major model updates or brand changes (new product, leadership, funding, etc.).
We can test fine-tuned or private RAG systems too—just let us know during onboarding.