Seattle, Washington Aug 30, 2025 (Issuewire.com) - LLM today announced LLMO Services (Large Language Model Optimization) designed to make brands easier for public LLMs to discover, verify, and cite.
The offering focuses on entity clarity, citable evidence, and machine-readable structure so organizations can win Answer Share and increase Citation Rate in AI-driven responses. LLMO is about earned visibilitywe strengthen the signals public LLMs already trust, like clear entities, credible evidence, and structured answersso when people ask real questions, models can confidently cite our clients, said Samuel Edwards, Chief Marketing Officer at LLM.co.
Public LLMs are quickly becoming the webs primary answer engines, yet many brands remain invisible or misrepresented in model outputs. Traditional SEO services alone do not address entity disambiguation, third-party corroboration, or claim-level anchorsthe exact signals models prefer. The company's LLM SEO Services close this gap with an ethical, evaluation-first framework that fortifies the sources and structures models already use. We take a long-term, ethical approach, noted Nate Nead, LLM.cos Chief Executive Officer. Instead of chasing hacks, we make our clients public facts, sources, and structure unambiguously betterimprovements that persist as models evolve.
What the LLMO service does
LLM.cos framework improves seven core areas that influence public LLM visibility:
Entity Graph & Identity Hygiene to establish canonical org/person/product profiles, resolve name collisions, build a robust SameAs graph to authoritative profiles (Wikidata, GitHub, Crunchbase, LinkedIn), and normalize key facts (founding year, HQ, leadership).
Evidence & Citations Program to produce citable assets (case studies, research notes, lightweight datasets) and secure neutral, third-party corroboration on reputable outlets (.gov, .edu, standards bodies, respected media/directories) with claim-level anchors and permalinks.
LLM-Readable Structure that converts key pages to answer-first formats (definitions, Q&A, comparisons) with stable anchors and transparent criteria so models can lift accurate, self-contained explanations.
Schema & Technical Signals including JSON-LD (Organization, Product, FAQPage, HowTo, Article, Review), tuned robots/sitemaps for reputable AI crawlers (e.g., GPTBot, PerplexityBot), canonicalization, and stable section IDs.
Knowledge Source Coverage prioritizing editorial directories and industry bodies (not pay-to-play lists), hardening newsrooms and public docs (versioned URLs, changelogs), and enriching code surfaces (e.g., GitHub READMEs, release notes).
Reputation Consistency to eliminate profile conflicts and stale facts across the web and promote balanced, neutral descriptions that models are more likely to trust and cite.
Measurement to track Answer Share, Citation Rate, accuracy (hallucination incidence), and freshness (time-to-adoption) by model with a curated prompt bank and monthly evals. When your brand shows up as the named, linked source inside answer engines, it influences discovery, consideration, and pipeline, added Timothy Carter, Chief Revenue Officer. Our program gives teams a repeatable way to grow Answer Shareand prove it with model-specific evaluations.
How LLM.co's LLMO Services Differ
Rather than gaming outputs, LLM.co strengthens durable signalsentities, evidence, schema, and technical clarityso improvements are portable across vendors and ship behind evaluation gates. This model-agnostic approach is designed to be resilient as public LLMs update their training data, ranking heuristics, and safety layers.
Who Can Benefit
Growth-stage and enterprise teams in SaaS, fintech, legal, healthcare, cybersecurity, and developer tools seeking more brand mentions, accurate facts, and trustworthy citations in public LLM answersespecially for evaluative and comparison-style prompts.
Getting Started
Engagements begin with a Week-1 Visibility Audit covering entity, source, content, and technical signalsplus a baseline of Answer Share and Citation Rate across major modelsfollowed by 3045 day sprints that deliver quick wins and durable authority building. LLMO Services are available immediately at LLM.co.
Results
Anonymized pilot metrics are available upon request, including documented gains in Answer Share, Citation Rate, and time-to-adoption for updated facts.
About LLM.co
LLM.co helps organizations succeed in the age of answer engines with services spanning LLM optimization, governance, and evaluation. The company focuses on durable, ethical signal building that improves how public odels discover, interpret, and cite brands.
Source :LLM.co
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