GEO Services
LLM SEO That Helps AI Models Describe Your Brand Accurately
Our LLM SEO work focuses on what large language models say about your brand, and whether it is right. When a buyer asks ChatGPT, Gemini, Claude, or Perplexity about your category, the model builds an answer from what it learned and what it finds. We shape your content and entity data so that answer names you and gets the facts right.
Two ways a model learns about your brand
The first is training data. Models learn from a large snapshot of text collected up to a cutoff date. What the web said about you then is baked in until the next model version. Changing it is slow, and no one can edit it directly.
The second is retrieval. Tools like ChatGPT search, Perplexity, Gemini, Copilot, and Google AI Mode search the web at answer time and cite what they find. This side responds faster to new content and corrections.
Good LLM search optimization works on both. Clear, consistent facts on your site and across trusted sources feed retrieval now and future training later.
What our LLM optimization services include
Each part targets a reason models leave you out or get you wrong.
- Brand fact sheet – We write one source of truth: what you sell, who it is for, pricing model, locations, and key differences. Every page and profile then matches it.
- Prompt baseline – We test category, comparison, and problem prompts across the main models and log mentions, errors, and who appears instead.
- Content fixes – We rework pages that models lean on, such as comparison, pricing, use-case, and about pages, so the facts are stated plainly.
- Entity data – We add structured data and align your profiles so models link your brand name to the right company.
- Crawler policy – We help you decide which AI crawlers to allow, such as GPTBot, ClaudeBot, OAI-SearchBot, and PerplexityBot, and the Google-Extended setting.
- Outside sources – We find the articles, lists, and reviews models cite in your category and work to get you included.
How the work runs month to month
Step 1: We agree on the prompts that matter, grouped by buyer stage and product. Step 2: We run the baseline and sort problems into three buckets: not mentioned, mentioned with wrong facts, and mentioned but ranked below competitors.
Step 3: We fix your own content and data first, since that is fastest. Step 4: We work on outside sources. Step 5: We re-run the prompts each month. Model answers change between runs, so we look at patterns across many prompts and runs, not one answer.
Choosing an LLM SEO agency
LLMO, short for LLM optimization, is a young field. Any LLMO agency or LLM SEO company you talk to is using methods and tools that are still changing. That is fine, as long as they are honest about it.
Ask which models they test, how many times they run each prompt, and how they separate real change from random variation. Ask what they do when a model states a wrong fact. Be wary of anyone who claims a direct line into a model or promises placement. We do not, and no one can.
Pricing for LLM SEO services
Our pricing starts at ₹40,000 a month, plus 18% GST. You get the exact price in your free proposal. Cost depends on how many products and markets we cover, how many prompts and models we track, and how much content and PR work is needed.
See our ESPN Cricinfo case study. LLM SEO is one part of our generative engine optimization services, and it works best alongside tracking and outside coverage.
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Results
Before and after: proof from client work
Screenshots from client accounts. Each caption says only what the screenshot shows.
Case studies
Related case studies
Results from our GEO Services work.
FAQ
LLM SEO Services: questions
They overlap heavily. GEO is the broader term for getting cited in AI answers. LLM SEO puts more weight on how models understand your brand as an entity and whether their facts are accurate.
No one can edit a trained model. We can improve the sources future versions will learn from and the pages that tools retrieve today. Retrieval changes show up much sooner than training changes.
It depends on your content and goals. Blocking training crawlers such as GPTBot or Google-Extended limits training use, but search crawlers like OAI-SearchBot are controlled separately. We walk you through the trade-offs before changing anything.
llms.txt is a proposed file that lists key pages for AI tools. Support for it among major AI search tools is unclear. We treat it as optional and focus first on content and data that we know models read.
We track mention rate, factual accuracy, and position against competitors across a fixed prompt set. We also track AI referral traffic in GA4. See our AI citations and brand mentions (/generative-engine-optimization/ai-citations/) service for how tracking works.
Related services
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