AI SEO is the work of getting your business found and cited when people search with AI tools like ChatGPT, Google AI Overviews and AI Mode. The term also covers using AI software to do SEO tasks. This guide explains both meanings. It shows how AI search picks its sources, what changes from classic SEO, what stays the same and how to optimize and measure the results.
| What is AI SEO? AI SEO is the practice of making your website easy for AI search tools to find, understand and cite. These tools include ChatGPT search, Google AI Overviews, Google AI Mode and Perplexity. People also use the term for SEO work done with AI software, such as keyword research or content briefs. Google says its AI features rely on the same SEO fundamentals as regular Search. |
AI SEO is search engine optimization for answers generated by artificial intelligence. Classic search shows a list of links. AI search writes an answer first. It then points to a few pages that support that answer. AI SEO is the work of becoming one of those pages. It also means making sure the answer describes your business correctly.
The goal is still the same as SEO. You want the right people to find you when they search. What changes is where they see you. A buyer in Vancouver may now ask ChatGPT for agency options before they ever open Google. A homeowner may read an AI Overview about roof repair costs before choosing which contractor sites to visit.
It is a common search in Canada. Semrush data for Canada, October 2026, shows about 880 monthly searches for “ai seo” with a keyword difficulty of 73. Searches for “ai seo services” (about 390) and “ai seo agency” (about 320) show that people are also looking for outside help with it.
People use “AI SEO” to describe two different things. Live Google results for the term are split between them. It helps to know which one someone means before you hire for it.
This is the newer meaning. The aim is to appear in AI-generated answers and get cited as a source. It is also called GEO (generative engine optimization) or AEO (answer engine optimization). Most of the current interest in AI SEO comes from this meaning. The work includes crawl access, clear content structure, accurate business information and tracking how AI tools describe you.
This is the older meaning. It covers software that uses AI to speed up SEO tasks. Examples include keyword clustering, content briefs, technical audits and first drafts. The tools save time. They do not replace judgment about what your customers need or what your pages should say. They also make mistakes, so every output needs a human check.
Many agencies offer both. When you compare proposals, ask which meaning the work covers and what you will receive each month.
Each AI search tool works a little differently. The main ones share a basic pattern. They search an index of web pages, pick the pages that best answer the question and summarize them.
Google’s guide to AI features and your website says a page must be indexed and eligible to show in Google Search with a snippet to appear as a supporting link. Google says there are no additional technical requirements. Both features may use a “query fan-out” technique. This means they run several related searches across subtopics to build one answer. As a result, they can show a wider set of supporting links than a classic results page.
OpenAI’s crawler documentation says ChatGPT search uses a crawler called OAI-SearchBot to surface websites. Sites that opt out of OAI-SearchBot will not be shown in ChatGPT search answers, though they can still appear as navigational links. A separate crawler, GPTBot, collects content for model training. The two are independent, so you can allow one and block the other. OpenAI notes that robots.txt changes take about 24 hours to apply to search.
The practical takeaway is simple. If a search engine cannot crawl and index your page, an AI tool built on it has little to work with.
AI SEO builds on traditional SEO rather than replacing it. The table shows where they differ and where they overlap.
| Area | Traditional SEO | AI SEO |
|---|---|---|
| What the searcher sees | A ranked list of links | A written answer with a few cited sources |
| Main goal | Rank high and earn the click | Get cited and described correctly |
| How queries look | Short keywords | Longer questions and follow-ups |
| Foundation | Crawlable, indexed, helpful pages | The same crawlable, indexed, helpful pages |
| How it is measured | Rankings, clicks, conversions | Citations, brand mentions, referral visits, conversions |
The foundation row matters most. Google states that SEO best practices remain relevant for its AI features. That is why AI SEO usually starts with solid search engine optimization work on the site itself. Titles, headings, internal links and helpful content still do the heavy lifting. The guide what is on-page SEO covers those page elements in detail.
The main difference is the unit of success. In classic search, one ranking for one keyword is easy to track. In AI search, answers to the same question can vary, so visibility is better measured as a pattern over many prompts.
“What is AI SEO called now?” is one of the questions Google shows in People Also Ask for this topic. There is no single agreed name yet. You will see several terms used for roughly the same work:
Each label stresses something slightly different. GEO points to generative answers. AEO points to direct answers to questions. LLMO points to the language models behind the tools.
The labels change faster than the work does. When comparing agencies, ask what they will actually do and how they will measure it. A proposal that names tasks, tools and reports is easier to judge than one that only names a new acronym.
Yes. AI search tools pull from indexed web pages. Google’s guidance says a page must be indexed and eligible for a snippet to appear in AI Overviews or AI Mode. A site that is weak in regular search gives AI tools less reason to use it.
What has changed is the type of content that earns attention. AI answers handle simple definitions well. Pages that add specific detail, clear comparisons, pricing context or local knowledge give AI tools something worth citing. They also give readers a reason to click through.
Google also makes a claim about traffic quality. It says clicks from results pages with AI Overviews are higher quality, because users are more likely to spend more time on the site. Treat that as Google’s own statement and compare it with your analytics. The guide is SEO still relevant looks at this question in more depth.
These steps come from the fundamentals Google and OpenAI describe. None of them require special code or new file types. Google says you do not need new machine-readable files, AI text files or special schema to appear in its AI features.
A clear, fast site built with good web design is easier for both people and crawlers to use. Page experience is part of the list for that reason.
Some businesses want more visibility in AI answers. Others want to limit how much of their content is shown. Google says the controls for its AI features are the same ones that apply to Search:
Google’s page also mentions Google-Extended as a separate control related to AI training. For ChatGPT, the main lever is robots.txt. Blocking OAI-SearchBot removes your site from ChatGPT search answers. Blocking GPTBot affects training only.
Think before you restrict anything. Limiting snippets can also reduce how your pages appear in regular results. If a control does not seem to work, Google suggests checking it with the URL Inspection tool and allowing time for the page to be recrawled.
Measurement is still developing. There are a few reliable places to start:
A simple manual check also helps. Once a month, ask ChatGPT, Google AI Mode and Perplexity the ten questions your customers ask most. Note whether your business appears, which pages are cited and whether the description is accurate. Over time, this shows whether your changes are working.
Most of these mistakes come from treating AI SEO as something separate from the rest of the website. It works best as part of the same plan as your regular SEO, content and site maintenance. Keep one owner responsible for both.
These answers cover the questions people ask most about AI SEO.
AI SEO is the practice of making a website easy for AI search tools to find, understand and cite. These tools include ChatGPT search, Google AI Overviews and AI Mode. The term also refers to using AI software to do SEO tasks, such as keyword research and content briefs.
Common names include GEO (generative engine optimization), AEO (answer engine optimization) and LLMO (large language model optimization). Some people simply say AI search optimization or AI visibility. No single term has become standard, so ask any provider what the work actually includes.
ChatGPT can help with parts of SEO. Examples include drafting outlines, grouping keywords and suggesting meta descriptions. It cannot see your Search Console data, fix your site or decide your strategy on its own. Its output needs review by someone who knows your business and can check the facts.
Google says you do not need AI text files or new markup to appear in AI Overviews or AI Mode. Other AI companies may treat such files differently. For most sites, crawl access, indexing and helpful content matter more than any extra file.
An AI SEO agency usually audits how AI tools describe your business, fixes crawl and indexing issues, and improves pages so they answer real customer questions. It should also track mentions and citations over time. Ask any agency to explain its methods and reporting before you sign.
It can. People ask AI tools for local recommendations, such as agencies or trades near them. Local signals like an accurate Google Business Profile and clear service pages still apply. Creamy Design covers this work on its SEO Vancouver page.
AI SEO is about being found and cited when people search with AI. It rests on the same base as classic SEO. Your pages need to be crawlable, indexed and genuinely useful. On top of that, write direct answers to real questions, keep business information accurate and track how AI tools describe your business. The names for this work will keep changing. The fundamentals are more stable.
