Do I need separate contractors for SEO, AEO, and GEO?

No — and splitting them usually wastes money, because 80% of the work is shared foundation. You need one system with three surfaces measured. That is exactly how Onravetoni structures delivery.

What is llms.txt and do I need it?

llms.txt is a plain-text file on your site that gives AI crawlers a structured summary of who you are and which pages matter. It costs nothing, takes an hour, and several AI crawlers already read it — low effort, worthwhile signal.

Does AI search matter for local businesses?

Strongly. 'Best X near me' questions are moving into assistants, and local answers are won with maps presence, reviews, and consistent data — achievable in weeks for most local categories because competition is thin.

How much traffic actually comes from AI assistants today?

Typically single-digit percentages of referral traffic, but growing every quarter — and it converts unusually well because an AI recommendation arrives pre-trusted. The strategic value is being locked in as the category answer before competitors notice.

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2026-07-0411 min read

AI Search Optimization in 2026: The Owner's Guide to SEO, AEO and GEO

In 2026 your customers find businesses on three different surfaces: classic Google results, AI-generated answers inside search (AI Overviews), and standalone AI assistants like ChatGPT and Perplexity. Each surface picks winners slightly differently — but they feed on the same foundation. Owners who understand the stack stop buying disconnected services and start building one machine that wins on all three.

The three surfaces, in one minute

SEO (search engine optimization) wins positions in the classic list of links. It is still the biggest traffic source and the foundation everything else builds on: crawlability, intent-matching pages, authority.

AEO (answer engine optimization) wins the answer boxes — featured snippets and AI Overviews. It is about being quotable: direct answers high on the page, FAQ and HowTo markup, clean facts a machine can lift out safely.

GEO (generative engine optimization) wins mentions inside AI assistants' generated text. It adds a reputation layer: consistent business data across the web, reviews, and independent sources repeating who you are and what you are good at — because models cite consensus, not claims.

One foundation feeds all three

The overlap is the strategy: a page that answers a real buyer question directly, loads fast, carries schema markup, and is confirmed by external mentions ranks in Google, gets lifted into answer boxes, and gets cited by assistants. You do the work once; three surfaces pay for it.

This is also why 'SEO is dead' takes are wrong in practice. Every AI surface retrieves from web indexes — ChatGPT browses via Bing, AI Overviews sit on Google's index, Perplexity crawls the web itself. Being invisible to search engines makes you invisible to AI, full stop.

The playbook, in priority order

What we run for clients, condensed to its skeleton:

Index everywhere: Google Search Console and Bing Webmaster Tools, sitemap submitted, key pages manually requested for indexing.
Intent map: the 20–50 questions your buyers ask, each mapped to a page that answers it directly — build the missing ones first.
Quotability pass: direct answer in the first screen of every page, FAQ blocks with FAQPage schema, Organization and Service markup, llms.txt.
Consistency pass: identical name, category, offer, and contacts across site, Google Business Profile, directories, and socials.
Mention engine: reviews collected and answered every month, listings in category directories, a steady drip of external articles and citations.
Measurement: classic rank tracking plus a monthly AI-answer audit — the same buyer questions asked to ChatGPT, Perplexity, and Gemini, logged, trended.

What to expect, and when

Realistic sequencing for a site starting from low visibility: technical and quotability fixes show first effects in 2–6 weeks; new intent pages start ranking for specific queries in 1–3 months; AI assistant mentions follow visibility and external confirmation, typically from month two onward for niche queries; competitive head terms take six months to a year of compounding.

The compounding is the point. Positions, mentions, and reviews stack; every article strengthens the next. Businesses that treat visibility as a monthly system — not a one-time project — end up owning their category's answers, in Google and in every AI assistant reading it.

Frequently asked questions

Do I need separate contractors for SEO, AEO, and GEO?: No — and splitting them usually wastes money, because 80% of the work is shared foundation. You need one system with three surfaces measured. That is exactly how Onravetoni structures delivery.
What is llms.txt and do I need it?: llms.txt is a plain-text file on your site that gives AI crawlers a structured summary of who you are and which pages matter. It costs nothing, takes an hour, and several AI crawlers already read it — low effort, worthwhile signal.
Does AI search matter for local businesses?: Strongly. 'Best X near me' questions are moving into assistants, and local answers are won with maps presence, reviews, and consistent data — achievable in weeks for most local categories because competition is thin.
How much traffic actually comes from AI assistants today?: Typically single-digit percentages of referral traffic, but growing every quarter — and it converts unusually well because an AI recommendation arrives pre-trusted. The strategic value is being locked in as the category answer before competitors notice.

We run this entire playbook as a service — measured in positions, AI mentions, and leads. Start with a free visibility scan to see your gaps on all three surfaces.

Get a free visibility scan