AI SEO
AI SEO services: get cited by ChatGPT, Gemini, Perplexity and AI Overviews
Use AI to sharpen your SEO: smarter content optimization and search-ready pages that support rankings. Talk to AVR Web Consulting about AI SEO.
Quick answer
AI SEO is the practice of making a brand retrievable and quotable inside AI answers. AVR Web Consulting combines answer engine optimisation, generative engine optimisation, LLM SEO, LLMO and structured data engineering so ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews cite your business.
- Engines tracked
- 6+
- Baseline audit
- 7 days
- Schema types
- 12+
- Reporting
- Monthly citations
Key Takeaways
- Expert strategies tailored for AI SEO Services — AEO, GEO, LLM SEO & LLMO
- Data-driven approach without relying on guesswork
- Focus on sustainable, long-term search visibility
- Fully aligned with modern Answer Engine and AI search requirements
Search did not disappear — it changed shape
A growing share of commercial research now ends inside an AI answer. The user asks a question, an assistant synthesises a response from a handful of retrieved sources, and only those sources get named. Ranking tenth is irrelevant if the model never retrieves you; being quoted once can send higher-intent traffic than a page of blue links.
AI SEO is not a replacement for SEO. Assistants retrieve from search indexes, structured data, licensed datasets and their own crawls, so classic fundamentals — crawlability, authority, clear content — remain the entry ticket. What changes is the format of content, the emphasis on entities, and the way success is measured.
The five disciplines inside AI SEO
| Discipline | Question it answers | Primary work |
|---|---|---|
| AEO | Will an answer engine use my answer? | Answer-first formatting, FAQ and HowTo schema, concise definitions |
| GEO | Will a generative engine include my brand? | Statistics, quotes, citations and structured comparisons in content |
| LLM SEO | Do assistants know and recommend my brand? | Entity building, third-party mentions, consistent descriptions |
| LLMO | Can models retrieve my content cleanly? | Chunk-friendly structure, semantic HTML, llms.txt, clean rendering |
| AI visibility | Where do I currently appear? | Prompt-set tracking, share-of-answer measurement, gap analysis |
Our AI SEO method
- 1Prompt baselineWe build a prompt set of 100–300 real buyer questions and record who is cited today across ChatGPT, Gemini, Perplexity, Copilot and AI Overviews.
- 2Entity auditWe check how consistently your brand, services and people are described across your site, directories, Wikipedia-class sources and social profiles.
- 3Retrieval engineeringServer-rendered HTML, JSON-LD entity graph, semantic structure, llms.txt and crawler permissions so models can actually read you.
- 4Answer contentDefinitions, comparisons, pricing transparency, statistics and FAQs written in the format assistants quote.
- 5Off-site authorityMentions in the roundups, directories, forums and publications that assistants retrieve from most for your category.
- 6Measure and iterateMonthly re-runs of the prompt set showing citation share, sentiment and which pages the models used.
Who benefits most from AI SEO
- B2B and SaaS brands whose buyers research with assistants before shortlisting
- E-commerce brands competing for product recommendation answers
- Professional services where 'best X in Y' prompts drive enquiries
- Any business whose competitors already appear in AI answers and they do not
Start with a baseline
You cannot improve what you have not measured. Our AI visibility baseline shows exactly which prompts already mention you, which mention competitors, and what the models say about your brand.
Frequently asked questions
Get an AI visibility & SEO audit
Tell us your target keywords and markets. We reply within one business day with findings, priorities and a tailored proposal.
