AI Agent Attribution Monitoring Services
Track. Measure. Influence. Know When (and If) AI Mentions You.
AI agents are now the front door to discovery. Tools like ChatGPT, Claude, Gemini, and Perplexity are answering product comparisons, recommending services, and summarizing company info—often without telling you what they’re saying or why they’re leaving you out.
At LLM.co, we offer AI Agent Attribution Monitoring to help your brand understand when and how it’s being cited—or overlooked—by public-facing large language models. If you're not being mentioned, you're missing out on traffic, credibility, and mindshare in the new age of AI-powered decision-making.
Our Attribution Monitoring service tells you where your brand appears, how it’s cited (or not), and what LLMs are saying about you in comparison, recommendation, and discovery queries.
What We Deliver
We provide a comprehensive, cross-model analysis of how your brand is performing in the world of AI attribution. Our audits are human-reviewed, data-rich, and built to give you a full picture of your LLM presence—along with guidance for improving it.
LLM Citation Tracking Logs
We prompt top AI models—including ChatGPT (with browsing), Claude, Gemini, and Perplexity—with natural language queries that simulate how real users interact with these tools. We test for brand-specific mentions, category inclusions, product references, and executive bios. Every output is logged with context, timestamped, and cataloged into a structured dataset that shows when and where you're being cited.
Mention Frequency Analysis
We quantify your brand’s inclusion rate across all test prompts and compare it directly to competitors. You’ll know how often you're being mentioned in head-to-head comparisons, tool recommendations, “best of” lists, or informational summaries. This frequency data helps establish benchmarks and shows whether your visibility is rising or falling across AI platforms.
Source Attribution Mapping
Not all mentions are created equal. We trace which sources LLMs are citing—whether it’s your official website, third-party directories, media coverage, or user-generated content. If your brand is being paraphrased without attribution, or if the model is hallucinating a citation entirely, we flag that. You’ll know exactly where the AI is getting its understanding of your brand—and whether it's grounded in accurate, trustworthy sources.
Bias & Omission Detection
We analyze outputs for patterns of omission, favoritism, or skewed representation. Are you being consistently skipped in comparison queries where you should appear? Are competitors overrepresented in certain tools? Are tone or summaries subtly negative or dismissive? Our team flags these issues and ties them to potential causes—such as weak entity linking, lack of schema, or insufficient content visibility.
Opportunity Gap Reports
We identify high-intent prompts where your brand should be included but isn’t—and explain why. Whether the issue is data sparsity, weak structured markup, or a missing presence in public datasets like Wikidata or Crunchbase, we’ll map the path from “invisible” to “included” so you can take corrective action.
Attribution Change Alerts
As AI models are updated weekly or monthly, brand representation can shift. Our optional change monitoring tracks updates over time and notifies you when your brand starts appearing (or disappears) from key queries—especially after a product launch, PR campaign, or major model release.
What is AI Attribution Monitoring?
AI Agent Attribution Monitoring is the process of tracking whether your brand, product, or people are being cited, paraphrased, or omitted in AI-generated content—particularly in response to discovery-oriented or comparison-based prompts.
With traditional SEO, you can measure clicks, impressions, and rankings. But with LLMs, there are no dashboards—only answers and conversational SEO. And if your brand isn’t showing up in those answers, you’re invisible.
We help bridge that gap by running structured prompt suites across major LLMs and capturing exactly how your brand is represented (or not), who is being cited instead, and what sources the model is drawing from. Then, we give you the strategy to improve it.
Use Cases for AI Agent Attribution Monitoring
AI-generated content is becoming the default lens through which audiences research, compare, and validate brands. If you're not tracking how you're being cited—or whether you're being cited at all—you’re already behind. Here’s who benefits most from Attribution Monitoring:
SaaS Platforms
If you're a software provider, there's a good chance your potential customers are using ChatGPT, Claude, or Perplexity to research alternatives, make comparisons, or get tool recommendations. Whether they're asking “best project management tools for startups” or “alternatives to [competitor]”, your presence (or absence) in those responses directly impacts discoverability and sales. Attribution Monitoring shows you whether your brand is appearing in these AI-generated shortlists—and how you're being positioned when you are.
E-Commerce Brands
From “best gifts for dads under $100” to “eco-friendly kitchen essentials,” buyers are increasingly turning to AI agents for shopping recommendations. If your products aren’t showing up in these guides—or if competitors dominate the narrative—you’re missing sales opportunities in a channel that’s growing fast. Our monitoring reveals how often your product SKUs, collections, or brand name appear in AI-curated buyer queries, so you can correct omissions and insert your products into the digital shelf space of the future.
Marketing Agencies & PR Firms
PR and digital strategy are no longer just about media hits and Google rankings. Clients now need visibility in AI-generated content to protect and grow their brand reputation. Attribution Monitoring gives agencies a new layer of intelligence—letting them track brand mentions across LLMs, flag omissions or hallucinations, and provide tangible attribution reports as part of campaign reporting. It's also a powerful way to validate the long-term value of media placements and press coverage that influence LLM citations.
Founders & Executives
In the era of AI-driven research, investors, journalists, partners, and recruits are asking LLMs for fast bios and summaries of the people behind the companies. But if your name is being confused with someone else, framed poorly, or not mentioned at all, that narrative gap can hurt credibility and trust. Our attribution monitoring helps founders, CEOs, and executives understand how often they appear in AI outputs, what tone is used, and which facts are being surfaced—so they can correct errors and manage their digital identity across AI tools.
Content & SEO Teams
You’ve spent time and budget building high-authority content—but are LLMs actually citing or referencing it? Are your pillar pages being paraphrased without attribution? Are competitors being favored despite your stronger material? Attribution Monitoring gives your content and SEO services real data on how your materials are being used—or ignored—by generative models. We highlight which content fragments are influencing AI summaries, helping you optimize both for humans and machines going forward.
Optional Add-Ons
After you’ve uncovered how (or if) AI models are mentioning and citing your brand, the next step is to actively shape what they say, how often they say it, and where they pull it from. These services are designed to improve your citation rate, clarify brand representation, and boost long-term visibility inside AI-generated answers.
Sentiment & Brand Positioning Audit
Knowing whether you're mentioned is only half the equation—you also need to know how you're being framed. This audit dives deeper into the emotional tone, brand voice, and competitive positioning models apply to your company. Are LLMs describing you as a market leader, a niche alternative, or a footnote? Is the tone enthusiastic, neutral, or skeptical? Our analysis uncovers those nuances across ChatGPT, Claude, Gemini, and Perplexity and provides side-by-side outputs, emotional scoring, and framing breakdowns. You’ll learn how your brand is emotionally perceived by AI—and how to shift that perception in your favor.
Synthetic Anchor Creation
Even if your brand appears in a few AI outputs today, visibility is fragile—and often incomplete. Our Synthetic Anchor Creation service plants semantically rich references across web pages, blog posts, directories, and other AI-readable content surfaces. These anchors associate your brand with key topics, products, and industry terms using natural, machine-friendly language. This increases the likelihood that LLMs will retrieve and cite you when generating summaries, comparisons, or recommendations—especially for queries that don’t mention your brand directly.
Schema & Structured Data Optimization
Both public and private large language models rely heavily on structured data to resolve ambiguity, extract facts, and confirm entity identity. We audit and optimize your schema markup—everything from Organization, Product, and Person to advanced sameAs, knowsAbout, and FAQ schemas—to ensure your site is machine-readable, crawlable, and semantically clear. This significantly improves the chances of your brand being accurately cited, especially in AI-generated overviews or source-attribution lists that draw from structured metadata.
Knowledge Graph Linking
LLMs use public knowledge graphs to cross-check facts and reinforce entity understanding. If your company, founder, or product isn’t properly represented in sources like Wikidata, Crunchbase, or LinkedIn’s data graph, you’re likely to be missed—or misrepresented—in AI-generated answers. We help you establish or strengthen these knowledge graph entries, link them correctly via sameAs relationships, and ensure they are up-to-date with trusted data. This serves as a foundation for disambiguation and increases your visibility across the AI stack.
Corpus Injection
Most LLMs rely on publicly accessible, crawlable web data for training or retrieval. If your brand's best content lives behind a login, in PDFs, or scattered across disconnected platforms, it won't make it into the corpus—and you won't be cited. Our Corpus Injection service solves that by producing and publishing authoritative, structured, and crawlable content in high-trust environments. These include reference-style blog posts, press features, Q&A-style narratives, and wiki-like profiles—each optimized for ingestion by ChatGPT, Claude, Perplexity, and future retrieval-based models. It’s the most reliable way to “teach” AI what you want it to say about you.
Why LLM.co?
LLM.co is the first agency purpose-built for brand visibility in the age of AI. Our team blends expertise in prompt engineering, LLM behavior modeling, semantic SEO, structured data, and digital reputation strategy. We don’t just tell you whether the AI is talking about you—we tell you why, how to fix it, and how to scale it.
We have worked with category leaders, emerging startups, and investor-backed companies to audit and reshape their AI visibility. Whether you’re building brand equity, defending positioning, or looking for an edge in a competitive category, we help you own your AI presence—one prompt at a time.
Private LLM Blog
Follow our Agentic AI blog for the latest trends in private LLM set-up & governance
Yes. We customize prompts around your market, competitors, and product categories to simulate real-world discovery paths.
We track both. Our team tags indirect mentions, semantic paraphrases, and “ghost” appearances where your brand is referenced but not cited by name.
Most clients start with a one-time audit, followed by monthly or quarterly monitoring to track shifts as models update.
Absolutely. Our team doesn’t just analyze results—we help implement changes that increase your AI visibility and influence future attribution.
SEO tracks your rankings in Google. We track your mentions, summaries, and citations in AI agents—the next evolution of digital discovery.