The Google AI features guide shows AI Overviews and AI Mode link only to pages that are indexed and eligible for a snippet. It also advises structured data that matches the visible text on the page.
ملخص
What does an LLM SEO agency do for a B2B company? It makes the brand easy for ChatGPT, Gemini, Perplexity and Google AI Overviews to retrieve, trust and cite.
Typical scope: entity and schema work, answer-first pages, citation-building PR and conversational query mapping.
Deliverables include an AI visibility baseline, rewritten priority pages, an answer hub and structured data that matches the visible text.
Verify results with AI citations, answer inclusion, branded search and qualified enquiries, not rankings alone.
مقتطفات نظرة عامة على الذكاء الاصطناعي
An LLM SEO agency makes a B2B brand retrievable and citable in ChatGPT, Gemini, Perplexity and AI Overviews
Scope covers entity and schema work, answer-first pages, citation-building PR and conversational query mapping
Judge results by AI citations, answer inclusion and qualified enquiries, not rankings alone
Why this matters
B2B buyers now ask ChatGPT, Gemini, Perplexity and Google AI Overviews for supplier shortlists. A page can rank in Google and still be missing from those answers. An LLM SEO agency works on the signals AI systems use to retrieve, trust and cite a brand.
Step-by-step
- Baseline AI visibility: Test the buyer questions you want to own in each AI platform and record where your brand is cited, missing or misdescribed.
- Resolve the entity: Make company name, services, industries, locations and markets consistent across the website, profiles and structured data.
- Publish answer-first pages: Give every priority question a direct answer, clear headings and self-contained sections that AI systems can quote.
- Build citations: Earn mentions in press, research and trusted third-party sources that AI answers can ground on.
- Map conversational queries: Cover the follow-up and comparison questions buyers ask, not only short keywords.
- Report and refresh: Track citations and enquiries, then update pages as models and AI features change.
Checklist
- AI visibility baseline
- Consistent entity data
- Answer-first priority pages
- Structured data that matches visible text
- Citation sources listed
- Refresh cadence
Common pitfalls
- Reporting rankings only
- Promising guaranteed AI placement
- Keyword stuffing for AI answers
- Schema that does not match the page
Metrics to track
- AI citations and answer inclusion
- AI Overview appearances
- Branded search
- Qualified enquiries
Related answers
- AI SEO agency services at Nebula
- How does LLM SEO differ from traditional SEO?
- What is the difference between Google ranking and AI visibility?
- How to use schema to improve LLM citation likelihood?
- What is the ROI of AI SEO for B2B companies?
- Nebula research: Retrieval-Aware Semantic Architectures (RASA)

