TL;DR: LLM SEO means optimizing content to get cited by large language models like ChatGPT, Claude, Perplexity, and Google's Gemini. It's the technical term for what agencies also call GEO, AEO, or AI SEO. The work is 80% traditional SEO (topical authority, quality content) plus 20% new (citation monitoring, structured answers). Agencies charge $10-30k/month. Omniscient Digital and Animalz do good work for B2B SaaS. But the execution is systematizable. Consider building in-house.
LLM SEO Agencies in 2026: Who Actually Optimizes for AI Search
Last updated: May 2026
The top LLM SEO agencies are Omniscient Digital (B2B SaaS focus, $8-25k/month), Animalz (enterprise content, $10-30k/month est.), and Omnius (SaaS and Fintech). Most agencies use marketing terms like GEO or AEO. LLM SEO is the more technical framing for the same work.
LLM SEO refers to optimizing content for citation by large language models:
- ChatGPT (GPT-4, GPT-4o) - OpenAI's models, web browsing capability
- Claude (Claude 3.5, Claude 4) - Anthropic's models, limited real-time access
- Perplexity - Real-time web search with direct citations
- Gemini - Google's models, integrated with Search
- Llama, Mistral, etc. - Open models with varying web access
The term "LLM SEO" is more accurate than the marketing acronyms (GEO, AEO, AI SEO), but agencies rarely use it because it's less catchy.
How LLMs Decide What to Cite
Understanding the systems helps evaluate agencies:
Training data influence: Claude and base ChatGPT (without browsing) cite based on what they learned during training. Brands mentioned frequently on authoritative sites during training get cited more. You can't directly optimize for this except by being prominent on the web over time.
Real-time retrieval: Perplexity and ChatGPT with browsing search the web and cite sources. This is closer to traditional SEO: authoritative, well-structured content gets retrieved and cited.
Google integration: Google AI Overviews pull from Google's index. If you rank well in Google, you tend to appear in AI Overviews. Standard SEO applies.
The common thread: Authority, clarity, and structure. No agency has special access to any LLM's citation algorithm.
What LLM SEO Actually Involves
Traditional SEO (80% of the work):
- Topical authority through comprehensive content
- Technical optimization (speed, schema, crawlability)
- Backlinks from authoritative sites
- Content quality and depth
New for LLMs (20% of the work):
- Citation-optimized formatting (clear answers to questions)
- AI visibility monitoring (tracking appearances in LLM outputs)
- Brand mention building on sites LLMs reference
- Structured data for easier extraction
Agencies charging $10-30k/month are mostly doing the 80% with some attention to the 20%.
LLM SEO Agency Comparison
| Agency | LLM Focus | Pricing | Best For |
|---|---|---|---|
| Omniscient Digital | GEO (same as LLM SEO) | $8-25k/mo | B2B SaaS |
| Animalz | AEO (same as LLM SEO) | $10-30k/mo est. | Enterprise content |
| Omnius | GEO for ChatGPT/Claude/Perplexity | Custom | SaaS, Fintech |
| Skale | Organic growth | Custom | SaaS |
| Siege Media | Content-led SEO | Enterprise | Link building focus |
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5 Agencies Doing LLM SEO Well
Omniscient Digital
Omniscient Digital calls it GEO, but they're optimizing for LLM citations. They focus on B2B SaaS with content tied to revenue metrics.
LLM optimization approach:
- Content structured for citation extraction
- Topical authority through content clusters
- AI visibility tracking
- Revenue attribution
Pricing: $8,000-25,000/month
Strengths: Real B2B SaaS expertise. Connects work to business outcomes.
Weaknesses: Premium pricing. Takes time to compound.
Animalz
Animalz uses the term AEO but it's the same as LLM SEO. They work with enterprise SaaS: Airtable, Amplitude, Atlassian, Intercom.
LLM optimization approach:
- Answer Engine Optimization
- Citation outreach
- Content refreshes for LLM visibility
- Brand authority building
Pricing: $10,000-30,000/month estimated
Strengths: Impressive clients. Quality content production.
Weaknesses: No pricing transparency.
Omnius
Omnius explicitly mentions optimizing for ChatGPT, Claude, and Perplexity. They focus on B2B SaaS and Fintech.
LLM optimization approach:
- GEO for specific LLMs
- Content clusters
- Programmatic SEO
Case studies: 0 to 2.7M visitors in 13 months
Pricing: Custom
Strengths: Strong results. Explicit LLM focus.
Weaknesses: Marketing-heavy "Atomic AGI" branding.
Skale
Skale builds organic growth for SaaS. Less explicit about LLM optimization but the fundamentals apply.
Pricing: Custom
Honest take: Good SaaS SEO. LLM-specific methodology less clear.
Siege Media
Siege Media does content-led link building. Authoritative content naturally gets LLM citations.
Pricing: Enterprise
Honest take: Strong content agency. LLM optimization is a natural extension.
Can You Optimize for Specific LLMs?
ChatGPT: Yes, partially. Web browsing mode retrieves and cites. Optimize like you would for Google. Brand mentions in training data help but can't be directly influenced now.
Claude: Limited. Claude's training data is fixed. Current web presence doesn't directly help unless Claude has real-time access (limited). Focus on being authoritative over time.
Perplexity: Yes. Real-time web search. Strong SEO fundamentals get you cited. Clear, structured answers help.
Google AI Overviews: Yes. Pulls from Google's index. Standard Google SEO applies.
The honest answer: You can't target specific LLMs precisely. You optimize for authority and clarity, which helps across all of them.
The Pricing Reality
| Agency Type | Monthly Range | Minimum |
|---|---|---|
| Boutique | $5,000-15,000 | 3 months |
| Mid-size | $10,000-25,000 | 6 months |
| Enterprise | $20,000-50,000+ | 12 months |
Most agencies don't publish pricing. They scope to maximize deal value.
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FAQ
What is LLM SEO?
LLM SEO means optimizing content to get cited by large language models like ChatGPT, Claude, Perplexity, and Gemini. It's the technical term for what agencies call GEO (Generative Engine Optimization) or AEO (Answer Engine Optimization).
How do I optimize for ChatGPT citations?
Create authoritative, well-structured content. Build brand mentions on sites ChatGPT references. Use clear headings and direct answers. ChatGPT with browsing retrieves and cites like a search engine. Base ChatGPT relies on training data, which you can't directly influence now.
Is LLM SEO different from regular SEO?
Mostly no. 80% of LLM SEO is traditional SEO: topical authority, quality content, backlinks. The 20% that's new: citation formatting, AI visibility monitoring, and understanding how different LLMs retrieve information.
How much do LLM SEO agencies charge?
$10,000-30,000 per month with 3-6 month minimums. Boutique agencies start at $5,000/month. Enterprise engagements exceed $50,000/month.
Can I do LLM SEO myself?
Yes. The work is systematizable: content strategy, production, optimization, monitoring. If you have SEO capability, you can add the LLM-specific elements. Agencies aren't doing magic.
Related Reading
Related Resources
Frequently Asked Questions
What is LLM SEO?
LLM SEO (Large Language Model SEO) optimizes content for AI systems like GPT-4, Claude, and Gemini. It focuses on how these models understand, index, and cite web content when generating responses.
Do LLM SEO agencies use different techniques than regular SEO?
LLM SEO techniques overlap heavily with traditional SEO. Additional focus includes: clear factual statements, comprehensive topic coverage, proper citations and sources, and structured content that LLMs can easily parse.
How do I know if my content appears in LLM responses?
Test by asking AI tools questions your content should answer. Use monitoring tools that track AI citations. Check referral traffic from AI platforms. Some agencies offer AI visibility audits.
Is LLM SEO worth the investment?
LLM SEO is worth investing in if your audience uses AI search tools regularly. For B2B companies, AI search usage is growing. Start with fundamentals: quality content, clear structure, topical authority.
