LLM SEO Agency
Large language models answer from two places: what they retrieve live, and what they learned in training. LLM SEO works on both, so models describe you correctly and mention you when it counts.
LLM SEO — sometimes called LLM optimization or LLMO — is the same goal as GEO seen from the model's side. A model either looks you up at answer time (retrieval) or already knows about you (training data). Retrieval rewards fresh, clear, crawlable pages. Training presence rewards being mentioned widely and consistently across the web. Edthi works both, and checks every week what the models actually say about you.
Two ways a model learns about you
Most agencies only work on one. You need both if you want to be mentioned reliably.
- Retrieval: pages that AI crawlers can reach and quote at answer time.
- Training presence: consistent mentions across many independent sites, so future models know you.
- Accuracy: models describing your product, pricing and category correctly — not hallucinating.
- Entity: the same facts about you on Wikidata, directories, reviews and your own site.
- Coverage: content on the follow-up questions models ask themselves while answering.
- Tracking: what ChatGPT, Claude, Gemini and Perplexity say about you, recorded weekly.
What's included
Model perception audit
What each major model says about you today — and where it's wrong.
Retrieval readiness
Crawler access, llms.txt, clean HTML and answer blocks on key pages.
Training-data footprint
Wider, consistent mentions on the sources models learn from.
Fact correction
Fix the outdated or wrong facts models repeat about you, at the source.
Fan-out coverage
Content for the sub-questions models generate on their own.
Weekly model checks
Same prompts, every model, every week — logged.
The LLM SEO work
- 01
Crawler and llms.txt
Let GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot and Google-Extended in, and point them at your best pages.
- 02
Server-rendered content
Key text in the HTML, not hidden behind JavaScript that some AI crawlers don't run.
- 03
Source-of-truth pages
One clear page for each fact models ask about: what you do, who it's for, pricing model, integrations.
- 04
Wide, consistent mentions
Directories, reviews, partner pages and community answers that all say the same thing.
- 05
Hallucination fixes
Find the wrong claims models make about you, then fix what they're learning from.
- 06
Model-by-model tracking
Each model behaves differently, so we track them separately.
What happens month by month
Agree the buyer prompts, benchmark ChatGPT, Perplexity, Gemini, Copilot and AI Overviews, and fix crawler access and schema.
Rewrite the pages that should win, build answer blocks, align the brand entity across the web, set up weekly tracking.
Most of the effort moves off-site: earning mentions on the sources AI cites, publishing original data, refreshing what's already working.
A short report: prompts tracked, where you're named, what changed, what we're doing next.
How we work
- 01
Benchmark
We agree your buyer prompts and record where you're named today.
- 02
Fix the basics
Crawler access, schema and the pages that should win, rewritten to be quotable.
- 03
Earn trust
Mentions on the third-party sources the engines actually cite.
- 04
Report
The same prompts re-run every week, with what changed and why.
Why Edthi for LLM SEO
We built our own agentic tooling and use AI models every day, so we see quickly how they change. That makes the weekly checks practical rather than a slide.
- One program across Google, AI assistants and AI Overviews, not separate vendors.
- Targets agreed up front and reported against weekly.
- Our guarantee is a performance commitment — targets agreed on day one, and we keep working until they're met — not a promise of a fixed spot in an AI answer.
- Built for US and other high-value markets, with an agentic content engine behind the work.
Questions buyers ask
What is LLM SEO?
LLM SEO is the work of making large language models like ChatGPT, Claude, Gemini and Perplexity find, understand and mention your brand accurately. It covers both live retrieval — pages a model can fetch at answer time — and training-data presence — being mentioned widely enough that models already know you.
Is LLM SEO the same as GEO?
Mostly. GEO (Generative Engine Optimization) and LLMO (LLM optimization) describe the same goal. GEO usually focuses on the answer engines; LLM SEO puts more weight on how the underlying models learn about you.
Can you change what ChatGPT says about my company?
Not directly — no one edits a model. What we can do is fix the sources it learns and retrieves from, and add clear, consistent information where it's missing. Over time that usually improves what models say, and we track it.
How long does LLM SEO take?
Retrieval improvements can show within weeks, because live answers pick up changes quickly. Training-data presence is slower — it depends on new model versions — so expect months.
Ready when you are.
Book a 30-minute call, message us on WhatsApp, or drop your details and we'll reach out. We'll show you where you show up today across Google and the AI engines — and the plan to become the answer.