LLM Optimization shapes how ChatGPT, Gemini, Claude, and Perplexity represent your brand. Not just citations — the accuracy, authority, and sentiment with which AI models describe everything you do.
LLM Optimization is the umbrella discipline that covers everything from how AI models rank and cite your business, to how accurately they describe your brand, products, expertise, and authority when generating any type of content about your category.
Being named and recommended when users ask AI for product or service recommendations in your category. This is GEO — a subset of LLM Optimization.
Ensuring AI models describe your business correctly — what you do, who you serve, your differentiators, your pricing, and your authority signals. Incorrect AI descriptions cost you trust.
Shaping whether AI discusses your brand positively, neutrally, or not at all — and how it positions you relative to competitors in the same AI-generated context.
Influencing what future model versions "know" about your brand through the sources they'll be trained on — authoritative web content, press coverage, and structured data.
Each model has a different training data mix, real-time retrieval method, and citation behaviour. A complete LLM Optimization strategy targets all of them — because your customers use all of them.
Ask ChatGPT about your business today. It's either not mentioning you, mentioning you inaccurately, or describing you in a way you'd never approve. LLM Optimization fixes all three.
For most Indian businesses, AI models simply don't mention them. No citation, no recommendation, no mention — even when you're the obvious answer to the question being asked.
LLMs sometimes generate plausible-sounding but wrong information about brands — wrong services, wrong locations, wrong pricing, wrong specialisations. Customers believe it.
Your competitor has done the work. When your category gets mentioned in AI outputs, their name appears — not yours. Every AI conversation that happens without you is a lost opportunity.
We build the signals that make AI models see you, describe you accurately, and recommend you — across ChatGPT, Gemini, Claude, Perplexity, and Copilot simultaneously.
LLM Optimization is not a single tactic — it's a layered system of signals, content, citations, and structures that together shape how AI models perceive and represent your brand.
100+ prompts tested across ChatGPT, Gemini, Claude, Perplexity, and Copilot — measuring citation rate, accuracy, sentiment, and competitor comparison. The most comprehensive AI brand diagnosis available in India.
FoundationBuilding the Experience, Expertise, Authoritativeness, and Trust signals that AI models evaluate — author credentialling, case study documentation, award and certification markup, and reviewer authority signals.
AuthorityFull structured data deployment — Organization, LocalBusiness, Service, Product, FAQ, HowTo, Review, Person, and Event schemas — giving AI models machine-readable facts about every dimension of your business.
TechnicalWriting content in formats AI models prefer to cite — comprehensive definitions, direct question-answer structures, clearly attributed factual claims, and concise summaries that LLMs pull verbatim into their responses.
ContentCreating a consistent, cross-platform entity — Google Knowledge Panel, Wikipedia and Wikidata presence, Crunchbase, LinkedIn company profile optimization, and structured NAP consistency — so AI models have one authoritative source of truth for your brand.
Entity SEOGetting your brand mentioned and described in the sources that AI training datasets and real-time retrieval systems most heavily weight — industry publications, academic-adjacent content, press releases, and authoritative third-party directories.
Training SignalsBuilding reviews, ratings, and testimonials across Google, G2, Clutch, TrustPilot, and industry-specific platforms that LLMs index when evaluating brand trustworthiness — and structuring them with markup that AI models can parse.
Trust SignalsWhen AI models are saying inaccurate things about your brand, we run targeted correction campaigns — publishing authoritative contradicting content in trusted sources to shift what AI retrieves and generates about you.
Brand RepairMonthly reports showing your AI brand presence across every major LLM — citation frequency, accuracy score, sentiment analysis, competitor benchmark, and downstream indicators like branded search volume and Perplexity referral traffic.
ReportingUnlike traditional SEO, LLM signals are not keyword-dependent. They're authority-based — reflecting how well AI models can verify and validate your brand as a reliable source.
Every LLM Optimization engagement begins with a thorough audit — so we know exactly what the models are saying about you today, and can prove how that changes month by month.
100+ prompts across 5 major LLMs — documenting citation rate, accuracy, sentiment, positioning vs competitors, and the specific sources each model is using to generate answers about your category.
Mapping which LLM ranking signals you're missing — schema gaps, entity inconsistencies, E-E-A-T weaknesses, citation voids — and prioritising them by impact per platform.
Full schema deployment, entity cleanup, E-E-A-T content creation, knowledge graph building, and answer-format content — the bedrock AI models need before they'll consistently cite you.
Getting your brand mentioned, reviewed, and cited in the sources LLMs trust most — publications, directories, press, and structured third-party platforms that feed AI training and real-time retrieval.
Monthly LLM visibility report — prompt testing re-run across all platforms, brand accuracy scoring, sentiment tracking, branded search growth, and strategy for the following month.
Every engagement begins with a free LLM Brand Audit — testing 100+ prompts across 5 major AI platforms to show you exactly what AI models are saying about your brand today.
All plans are month-to-month — no long-term contracts. Every engagement starts with a free LLM Brand Audit. The LLM + GEO + SEO bundle delivers maximum ROI because signals built for one surface strengthen all three.
"We asked Gemini about our category and it described a competitor in detail — and didn't mention us at all. Codos ran a full LLM audit, found 12 specific gaps, fixed them over 90 days, and now when we test the same prompts, we appear in 4 of the 5 major AI platforms. The audit report alone was worth the investment."
"ChatGPT was describing our firm incorrectly — wrong service areas, outdated pricing model, and a competitor's case study attributed to us. Codos ran an accuracy correction campaign and within 6 weeks the inaccurate citations had been replaced. I didn't know this was even possible as a service. It should be standard for every business."
"Our B2B clients use Claude and Perplexity for vendor research before shortlisting anyone. Since starting LLM Optimization with Codos, our name appears in 3× more relevant Perplexity queries and our branded search volume on Google has increased 40% — which Codos explained is a downstream LLM effect. Every B2B company in India needs this now."
You might be invisible, inaccurate, or outranked by a competitor in every AI conversation your customers are having. The LLM Brand Audit shows you exactly which — and exactly what to do about it.