LLM SEO services for how models describe your category.
Large language models learn your category from what the web says about it. LLM SEO services change what they learn: your pages, your entity signals, and the third-party sources they trust most.
Where this usually starts.
ChatGPT gets your product wrong
It describes a feature you retired, a positioning you abandoned, or a competitor's strengths as yours.
Models recommend the category leader by default
Bigger competitors have more third-party coverage, so they get named first whether or not they fit the use case.
You cannot tell what the models are reading
There is no Search Console for ChatGPT. You need a way to see which sources drive the answers, and which you can influence.
LLM SEO starts with what models already believe
Before changing anything, find out what the models say. Ask ChatGPT, Gemini, Perplexity, and Claude the questions your buyers ask, record the answers, and note which sources each one leans on. That baseline shows whether the problem is accuracy, presence, or ranking against competitors, and each needs different work.
What LLM optimization services change
Models form a picture of your brand from three inputs: your own pages, the entity signals that tie those pages to one company, and the much larger body of third-party content about your category. LLM optimization services work on all three. Your pages get retrofitted so they are specific and quotable, your entity signals get cleaned up so there is one consistent description, and the third-party sources that matter get a plan.
Part of one AI-search engagement
LLM SEO, generative engine optimization, and answer engine optimization are three views of the same work. The page you land on describes the angle; the engagement covers all of it.
The scope, start to finish.
Model answer baseline
- How ChatGPT, Gemini, Perplexity, and Claude describe your brand and category
- Accuracy, sentiment, and where you are named against competitors
Entity and content signals
- Consistent entity descriptions across your site, profiles, and structured data
- Retrofits of the pages models already read: specific, self-contained, factual
- Crawler access, rendering, and llms.txt where it helps
Third-party sources
- The review sites, lists, forums, and videos models cite for your category
- Where your description is missing or outdated, and a plan to fix it
Content worth repeating
- First-party data and specific claims models can attribute to you
- Comparison and use-case content that answers the prompts buyers type
Measurement
- A dated prompt set re-run on a set cadence
- LLM-referred sessions and conversions from analytics
Strategy, specs, and briefs.
I find what's holding you back, decide what matters most, and tell your team exactly what to do about it. Your team, or a developer you hire, ships it. One-time project or ongoing, both work.
I diagnose and prioritize
Every issue and opportunity, ranked by impact against effort, so the first thing your team works on is the thing that moves the number.
I spec the fixes and write the briefs
Technical fixes written for a developer to act on, and content briefs written for a writer to execute, with the keyword research behind them.
Your team ships it
I don't edit your CMS or write your code. If you need a developer, hire one; I'll tell them exactly what to build and review it after.
A plan your team can run.
An LLM answer audit
What each model says about you and your competitors today, with the sources behind it.
An LLM optimization roadmap
On-site, entity, and off-site work ranked by how likely it is to change what models say.
Briefs and specs
Retrofit briefs, entity and schema specs, and a third-party outreach list your team can work through.
Results from real programs.
Anonymized by industry. Each links to the full story where one exists.
A few questions people actually ask.
What does LLM SEO mean?
LLM SEO means optimizing for how large language models like ChatGPT, Gemini, and Claude describe and recommend your brand. It covers the content models read, the entity signals that identify you, and the third-party sources they trust.
What do LLM SEO services include?
Mine include a model answer baseline, entity and content retrofits, a third-party source plan, content briefs, and ongoing measurement against a dated prompt set. Implementation stays with your team.
Are ChatGPT SEO services different from LLM SEO?
No, ChatGPT SEO services are LLM SEO applied to one model. I measure across ChatGPT, Gemini, Perplexity, and Claude, because buyers use more than one.
How is LLM SEO different from GEO?
They overlap almost completely. LLM SEO emphasizes the model's understanding of your brand; GEO emphasizes the answers AI search products generate. Both are the same engagement here.
How do you measure LLM visibility?
With a fixed, dated prompt set re-run on a schedule, recording whether you are named, cited, or absent, plus LLM-referred sessions and conversions from analytics. Scores from tools move for many reasons, so the prompt set stays constant.