The landscape

The AI Search Landscape

Eight AI engines now influence how people discover businesses. Here is how each one works, what content it pulls from, and what you should do about it.

TL;DR

AI search engines are replacing the “10 blue links” model with direct recommendations. Each engine pulls from different sources — YouTube transcripts, social platforms, live web searches, or proprietary ecosystems. Businesses that build presence across multiple channels get recommended more often. The common thread: well-structured content, multi-platform visibility, and third-party corroboration.

ChatGPT

How does ChatGPT recommend businesses?

What it is

OpenAI's conversational AI assistant, used by over 200 million people for research, recommendations, and decision-making.

Who uses it

Professionals, founders, and consumers asking for product and service recommendations. Increasingly used as a first step before Google.

How it surfaces recommendations

ChatGPT synthesises information from its training data and live web browsing to generate recommendations. It prioritises sources that are well-structured, frequently cited elsewhere, and corroborated across multiple platforms.

What content it pulls from

Web content, YouTube video transcripts, Reddit discussions, news articles, academic papers, and structured data across domains.

What your business should do

Create content that directly answers the questions your customers ask. Publish YouTube videos with detailed transcripts. Build third-party mentions through podcast appearances and PR. Structure your site with clear FAQ sections and TL;DR summaries.

Perplexity

How does Perplexity surface recommendations?

What it is

An AI-powered research tool that provides real-time answers with inline source citations. Known for accuracy and transparency.

Who uses it

Researchers, professionals, and technically savvy users who want cited, verifiable answers rather than conversational responses.

How it surfaces recommendations

Perplexity performs live web searches for every query, then synthesises results with direct source attribution. It prioritises recently published, authoritative content that clearly answers the query.

What content it pulls from

Live web search results, news outlets, academic publications, YouTube transcripts, and authoritative blog content. Perplexity actively fetches and indexes content in real time.

What your business should do

Publish frequently updated, in-depth content on your core topics. Use clear H2 headings that match how users phrase questions. Ensure your content is crawlable and fast-loading — Perplexity penalises slow or JavaScript-heavy pages.

Claude

How does Claude find sources to cite?

What it is

Anthropic's AI assistant, increasingly used for professional research, analysis, and recommendations. Known for nuanced, thoughtful responses.

Who uses it

Knowledge workers, analysts, and professionals seeking detailed, balanced perspectives on products, services, and business decisions.

How it surfaces recommendations

Claude draws on web sources and its training data to provide well-reasoned recommendations. It tends to favour content that demonstrates expertise and provides balanced, thorough coverage of a topic.

What content it pulls from

Web content, published articles, structured data, professional publications, and documentation. Claude values depth and expertise signals.

What your business should do

Create authoritative, long-form content that covers topics thoroughly. Demonstrate expertise through detailed case studies, methodology explanations, and substantive analysis. Avoid thin or promotional content.

Gemini

How does Gemini decide what to show?

What it is

Google's AI assistant, deeply integrated with Google Search, Maps, YouTube, and the broader Google ecosystem.

Who uses it

Google users across all platforms — Search, Android, Chrome, Gmail, and Google Workspace. Gemini reaches the largest potential audience of any AI assistant.

How it surfaces recommendations

Gemini leverages Google's search index, Knowledge Graph, and YouTube data. Content that ranks well on Google has a head start with Gemini, but Gemini also weighs structured data, reviews, and multi-platform presence.

What content it pulls from

Google Search index, YouTube, Google Maps, Google Business Profile, structured data (schema markup), and the Google Knowledge Graph.

What your business should do

Maintain strong traditional SEO as your foundation. Optimise your Google Business Profile. Publish YouTube content. Implement comprehensive schema markup. Gemini rewards businesses that are visible across Google's ecosystem.

Microsoft Copilot

How does Copilot pull business recommendations?

What it is

Microsoft's AI assistant powered by Bing search, integrated into Windows, Edge, Microsoft 365, and Teams.

Who uses it

Enterprise users, Microsoft 365 subscribers, and Edge browser users. Skews toward professional and business contexts.

How it surfaces recommendations

Copilot uses Bing's search index to surface recommendations. It prioritises authoritative web content, news sources, and professionally structured pages. LinkedIn presence also carries weight given Microsoft's ownership.

What content it pulls from

Bing search index, LinkedIn profiles and articles, Microsoft Edge browsing data, news publications, and business directories.

What your business should do

Ensure your site is indexed by Bing (submit via Bing Webmaster Tools). Maintain an active LinkedIn presence with published articles. Optimise for Bing's ranking signals, which overlap with but differ from Google's.

Grok

How does Grok find content to reference?

What it is

xAI's AI assistant built into the X (formerly Twitter) platform, with access to real-time social data and web search.

Who uses it

X users and power users who want real-time, unfiltered answers. Skews toward tech, finance, and current events audiences.

How it surfaces recommendations

Grok combines real-time X post data with web search to generate responses. It favours recent, trending content and is more likely to surface timely takes over evergreen content.

What content it pulls from

X posts and threads, web search results, news articles, and real-time social signals. Grok's unique advantage is access to the live X firehose.

What your business should do

Maintain an active X presence with substantive posts about your industry. Engage in trending conversations relevant to your business. Pair social activity with authoritative web content that Grok can reference for depth.

Meta AI

How does Meta AI surface recommendations?

What it is

Meta's AI assistant embedded across WhatsApp, Instagram, Facebook, and Messenger — reaching billions of users within apps they already use daily.

Who uses it

Consumers across Meta's platforms, often asking for local recommendations, product suggestions, and lifestyle advice in a casual, conversational context.

How it surfaces recommendations

Meta AI draws from web sources and Meta's platform data. It is particularly strong for local and consumer recommendations, leveraging the social graph and business presence within Meta's ecosystem.

What content it pulls from

Web content, Facebook Business Pages, Instagram business profiles, WhatsApp Business data, and Meta's internal knowledge graph.

What your business should do

Maintain active, complete business profiles on Facebook and Instagram. Encourage customer reviews on Meta platforms. Ensure your web content covers the consumer-facing queries Meta AI users are likely to ask.

Google AI Overviews

How do AI Overviews change Google results?

What it is

AI-generated summaries that appear at the top of Google Search results, synthesising information from multiple web sources into a single, comprehensive answer.

Who uses it

Everyone who uses Google Search. AI Overviews appear automatically for informational and commercial queries, reaching the largest search audience in the world.

How it surfaces recommendations

AI Overviews pull from pages that already rank well on Google, but they do not simply copy the top result. They synthesise across multiple sources, favouring content with clear structure, direct answers, and authoritative signals.

What content it pulls from

Google's search index — primarily the top-ranking pages for a given query. Structured data, FAQ markup, and clear H2/H3 hierarchies increase the chance of being included.

What your business should do

Optimise for traditional Google SEO as a foundation. Structure content with clear question-based headings and concise answers. Implement FAQ schema markup. Create content that directly answers specific questions in your first paragraph or TL;DR section.

Frequently asked questions

Common questions about AI search

What is Generative Engine Optimisation (GEO)?

GEO is the practice of optimising your content and online presence so that AI-powered search engines — like ChatGPT, Perplexity, and Google AI Overviews — recommend your business in their responses. Think of it as SEO for AI.

Can I optimise for all AI search engines at once?

Partially. Many AI engines share common signals: well-structured content, multi-platform presence, and third-party mentions. But each engine also has unique data sources. An effective strategy covers the shared foundation and then targets the specific channels each engine prioritises.

Do AI search engines replace Google?

Not yet, and likely not entirely. But they are capturing an increasing share of commercial queries — especially recommendation and comparison searches. Businesses that only optimise for Google are missing a growing channel.

How do AI engines decide what to recommend?

AI engines look for content that is authoritative, well-structured, and corroborated across multiple sources. If your business appears on your website, in YouTube transcripts, on podcasts, and in third-party articles, AI engines treat you as more trustworthy and recommend you more often.

What content format works best for AI recommendations?

YouTube video transcripts, structured FAQ sections, clear question-and-answer formats, and in-depth articles with TL;DR summaries. AI engines prefer content they can easily extract and cite in conversational responses.

How long does it take to appear in AI recommendations?

Most businesses see initial results within 4 to 8 weeks of launching a targeted GEO strategy. Full visibility across all major AI engines typically takes 2 to 4 months, depending on your existing content and industry competition.

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