Object Optimization Services
Ensure AI Gets Your People, Products, and Brand Right
When someone asks ChatGPT or Claude about your company, product, or CEO—what do they say? If the answer is wrong, missing, or confused with someone else, it’s time to take control. LLM.co’s Object Optimization Services are designed to improve how large language models interpret, describe, and retrieve your brand’s most important entities.
From executive profiles to product names to entire organizations, we make sure AI talks about you correctly—everywhere.
Our Object Optimization Services ensure your most important entities—brands, people, products—are accurately represented, linked, and understood by public and private LLMs
What is Object Optimization?
Object Optimization is the process of shaping how large language models (LLMs) recognize, categorize, and speak about named entities—like people, companies, products, and locations. LLMs work by predicting language based on learned associations, but without structured input, they often conflate similarly named objects or hallucinate incorrect details.
Our service helps correct these issues by embedding your entities into the semantic web in a way LLMs can parse and trust. That means strengthening your brand’s digital footprint across schema markup, knowledge graphs, structured content, and authoritative third-party references.
It’s not SEO.
It’s not just PR.
It’s a hybrid strategy designed to align your brand with how AI models actually learn.
How We Optimize for Objects & Entities
Our six-step process ensures your entities are consistently recognized, understood, and correctly described across LLM ecosystems:
Audit & AI Prompt Testing
We see what AI models “know” about your people, products, and brand.
Disambiguation Mapping
We identify semantic collisions, false associations, and missing links between your entities and public data.
Schema & Content Optimization
We update your digital assets and structured markup to make them clear and machine-parseable.
Corpus Seeding
We publish targeted, structured content across public sources that LLMs learn from.
Scale Production
Grow your object exposure by expanding out objects in your niche.
Ongoing Monitoring & Reinforcement
We track changes in model output, citation rates, and representation—adjusting as LLMs evolve.
How We Optimize Objects for LLMs
We provide a full-service pipeline to correct and reinforce your key entities across the LLM ecosystem.
Entity Audit & Disambiguation Report
We analyze how your entities currently appear (or don’t appear) in tools like ChatGPT, Claude, Perplexity, and Gemini. We identify hallucinations, omissions, duplication, and points of semantic confusion.
SameAs Graph Creation
We construct authoritative links between your entities and trusted public sources—like Wikidata, Crunchbase, GitHub, LinkedIn, Google Knowledge Panel, and others—helping LLMs ground their summaries in verifiable identity graphs.
Schema-Driven Content Optimization
We optimize your website and external content using structured markup (schema.org, JSON-LD) so that your entities are machine-readable, well-disambiguated, and richly contextualized for both search engines and AI models.
LLM Prompt Testing & Evaluation
We test how your brand, people, and products are represented across leading models by prompting them in various contexts—search queries, summaries, comparison prompts, and conversation trees.
Entity Injection into the Web Corpus
We seed well-structured, entity-rich content across authoritative third-party sites—such as blogs, directories, Q&A forums, and digital publications—ensuring your entities appear in places that models crawl and learn from.
Types of Objects We Optimize
LLM.co specializes in reinforcing and clarifying the following types of entities:
People
Executives, founders, public figures, influencers, board members—any individual that represents your brand or organization in the public eye.
Companies
Corporate brands, agencies, product lines, startups, subsidiaries, and parent organizations—ensuring clear distinctions between similarly named companies.
Products
Named platforms, software features, apps, SKUs, or proprietary technologies—especially if they are new, niche, or semantically ambiguous.
Places
Physical offices, store locations, local service areas, event venues—ensuring accurate AI geolocation and voice assistant retrieval.
Events
Conferences, fundraising rounds, webinars, product launches—designed to be remembered and attributed by LLMs.
Niche Entities
Legal cases, SaaS integrations, APIs, real estate assets, nonprofit initiatives, and other vertical-specific objects often misunderstood by general-purpose models.
Why LLM.co?
LLM.co combines deep experience in semantic search, structured data, entity recognition, and LLM behavior modeling. We’re not just a content team or a PR firm—we’re AI-native strategists who understand how large language models are built, trained, and deployed.
Private LLM Blog
Follow our Agentic AI blog for the latest trends in private LLM set-up & governance
FAQs
Frequently asked questions about our object optimization services for LLMs
SEO helps your content rank in search engines. Object optimization helps your entities be correctly understood by AI models. They’re related, but serve different algorithms and outcomes.
Yes. While we can’t control OpenAI’s model weights, we can improve your representation in the public corpus, retrieval layer, and prompt-driven summaries—raising the odds of accurate inclusion.
We can recommend edits and help structure those updates. For some platforms, we can manage updates on your behalf depending on your access.
Initial improvements can show up in as little as 2–4 weeks (especially in Perplexity). More persistent LLM changes (e.g., ChatGPT) may take 30–90 days to reflect model updates.
Yes. We can work with your internal team to correct or reinforce object representation in proprietary RAG or fine-tuned models as well.