AI Search Is Here: How to Make Sure Your Business Gets Found
Customers are asking ChatGPT and Google AI for recommendations. Here is how to structure your online presence so AI engines recommend your business.
Key Takeaways
- AI search engines like Google AI Overviews, ChatGPT, and Perplexity now recommend specific businesses directly in their answers, making AI search visibility a critical new channel.
- AI search ranks entities (your business as a whole) rather than pages. Your business needs to be recognised as a distinct, authoritative entity across the web.
- Structured data (schema markup), detailed review content, and consistent business information across 40+ sources are the three primary signals AI engines use to recommend businesses.
- Generative Engine Optimisation (GEO) is the emerging discipline of optimising for AI search, distinct from traditional SEO.
- AI search typically recommends 1-3 businesses per query, making visibility more valuable and more competitive than traditional search's 10 blue links.
When someone needs a service business today, they no longer just Google it. They ask ChatGPT. They use Google AI Overviews. They search on Perplexity. These AI-powered search engines do not return a list of ten blue links. They generate a direct answer, often naming specific businesses and explaining why they are recommended.
This shift from link-based search to answer-based search is the most significant change in how customers find businesses since the launch of Google itself. If your business is not visible in AI search results, you are invisible to a growing segment of your potential customers. In this article, we explain how AI search works, what it looks for, and how to make sure your business gets recommended.
What Is AI Search?
AI search (also called generative search or answer search) uses large language models to understand a user's question, search the web for relevant information, and generate a direct answer. Instead of showing you a list of websites to visit, the AI reads those websites for you and synthesises an answer that often includes specific business recommendations.
The three most significant AI search platforms in 2026 are Google AI Overviews (which appears at the top of Google search results for many queries), ChatGPT (which has web search capabilities and recommends businesses when users ask for service providers), and Perplexity (a dedicated AI search engine that cites sources in its answers).
65%
of Google searches in 2026 now show an AI Overview for informational queries, according to SE Ranking research
How AI Search Differs From Traditional Search
Understanding the differences between AI search and traditional search is essential for adapting your strategy. The fundamental mechanics are different.
Pages vs Entities
Traditional search ranks pages. Google evaluates individual web pages and ranks them based on relevance, content quality, and backlinks. AI search ranks entities. An entity is a specific, identifiable thing: a person, a business, a product, a place. When ChatGPT recommends a plumber, it does not recommend a page. It recommends the business as an entity. This means your business needs to be recognised as a distinct, well-defined entity across the web, not just a website with good content.
Keywords vs Context
Traditional search matches keywords. If your page contains the words 'plumber in London', Google ranks it for that query. AI search understands context. It reads your website, your reviews, your directory listings, and your social media to build a comprehensive understanding of what your business does, where it operates, and what customers think of it. Keyword stuffing does not work in AI search. Comprehensive, accurate, and consistent information does.
Ten Results vs One Answer
Traditional search shows ten results. Even if you rank position 5, you still get visibility. AI search typically recommends 1-3 businesses. If you are not in those top recommendations, you are invisible. This makes AI search visibility more competitive and more valuable than traditional search ranking.
Links vs Corroboration
Traditional search relies heavily on backlinks as a trust signal. AI search relies on corroboration: multiple independent sources saying the same thing about your business. If your website says you are a plumber in London, your Google Business Profile says you are a plumber in London, and 50 reviews mention plumbing in London, the AI has high confidence that you are a plumber in London. Consistency across sources matters more than any single signal.
What AI Search Engines Look For
Based on analysis of how AI search engines generate business recommendations, three primary signals determine whether your business gets recommended: structured data, review content, and entity consistency.
1. Structured Data (Schema Markup)
Structured data, or schema markup, is code on your website that explicitly tells search engines what your business is. The LocalBusiness schema tells AI engines your business name, address, phone number, services, opening hours, and service area. The Review schema tells them your average rating and review count. The FAQ schema tells them what questions your business answers. Without structured data, AI engines have to infer what your business does from unstructured text, which is less reliable and less likely to result in a recommendation.
2. Review Content
AI search engines read review text to understand what your business does well. When a user asks ChatGPT for a 'reliable plumber who responds quickly', the AI looks for businesses whose reviews mention reliability and fast response. This means the content of your reviews matters as much as the quantity. Reviews that say 'great service' are less useful than reviews that say 'they arrived within 30 minutes and fixed the leak the same day'. Encourage customers to mention specific details in their reviews.
3. Entity Consistency
AI engines build an entity profile for your business by aggregating information from multiple sources: your website, Google Business Profile, directories, social media, and review platforms. If these sources disagree (different addresses, different phone numbers, different service descriptions), the AI has low confidence in your entity and is less likely to recommend you. Consistency across 40+ sources is the foundation of AI search visibility.
1-3
businesses typically recommended per AI search query, versus 10 results in traditional search
Generative Engine Optimisation (GEO)
Generative Engine Optimisation, or GEO, is the emerging discipline of optimising your business presence for AI search engines. It is distinct from traditional SEO because it focuses on entity recognition, content corroboration, and answer extraction rather than keyword ranking and backlink building.
Research from Princeton University and Georgia Tech published in 2024 identified several GEO techniques that measurably improve visibility in AI search results. The most effective techniques for businesses are:
- Including specific, factual statistics and data points in your website content (AI engines prefer content with verifiable facts)
- Adding direct, concise answers to common questions in your content (FAQ sections are particularly effective)
- Using authoritative, specific language rather than vague marketing claims
- Ensuring your content is cited by other reputable sources (corroboration signal)
- Maintaining comprehensive, detailed content that covers a topic thoroughly rather than superficially
How to Optimise Your Business for AI Search
Here is a practical framework for making your business visible in AI search results. These steps build on each other and should be implemented in order.
Step 1: Build Your Entity Foundation
Ensure your business is accurately and consistently represented across the web. Your business name, address, phone number, and service description should be identical on your website, Google Business Profile, and at least 40 local and industry directories. This consistency is what allows AI engines to recognise your business as a single, trustworthy entity rather than fragmented, conflicting information.
Step 2: Implement Comprehensive Schema Markup
Add structured data to your website covering your business type, services, location, reviews, and FAQs. At minimum, implement LocalBusiness schema, Service schema, Review schema, and FAQ schema. Use Google's Structured Data Testing Tool to verify your markup is correct and complete. Schema markup is the most direct way to tell AI engines exactly what your business is and does.
Step 3: Generate Detailed Review Content
Build a system that requests reviews from every satisfied customer and encourages them to mention specific details: what service was provided, how quickly it was done, and what they appreciated. Reviews with specific details are far more valuable for AI search than generic five-star reviews. Aim for 8-15 new reviews per month with detailed content.
Step 4: Create Answer-Focused Content
Write content that directly answers the questions your potential customers ask. Use FAQ sections with concise, factual answers. Include specific data points and statistics. Avoid vague marketing language. AI engines extract answers from content, so make your answers easy to find and cite. Structure content with clear headings, short paragraphs, and direct answers.
Step 5: Build Corroboration
Get your business mentioned on authoritative, independent websites. This includes industry associations, local chambers of commerce, trade publications, and news sites. Each mention on a reputable, independent source is a corroboration signal that increases the AI's confidence in your business as an entity. Focus on quality over quantity: one mention in a trade publication is worth more than fifty mentions on low-quality directories.
Measuring AI Search Visibility
AI search visibility is harder to measure than traditional SEO because AI engines do not provide ranking reports. Here are practical ways to track your visibility:
- Search for your service and location on ChatGPT, Google AI Overviews, and Perplexity monthly. Record whether your business is mentioned.
- Ask the AI engines specific questions about your industry and see if your business appears in the answers.
- Track branded search volume in Google Search Console. If AI engines recommend your business, users may search for your business name directly afterward.
- Monitor referral traffic from AI platforms in your analytics. ChatGPT and Perplexity both send referral traffic that you can track.
- Use tools like Profound or Otterly.ai that track AI search visibility across multiple platforms.
AI Search and Traditional SEO: Complementary, Not Replacing
AI search is not replacing traditional search. Google still processes 8.5 billion searches per day, and the majority still show traditional organic results. But AI Overviews now appear above those organic results for many queries, and the number is growing. The businesses that will dominate the next decade of search are the ones that optimise for both traditional search and AI search simultaneously.
The good news is that the foundations are the same. A well-optimised Google Business Profile, consistent NAP across directories, a content-rich website with schema markup, and a steady stream of detailed reviews will improve both your traditional search ranking and your AI search visibility. The additional steps for AI search (entity building, answer-focused content, corroboration) build on top of this foundation.
The businesses that win in AI search are not the ones with the most backlinks. They are the ones whose information is the most consistent, the most detailed, and the most corroborated across the web.
— Business Relauncher AI Search Team
