AI

The 7 AI Search Engines Deciding Which Businesses Get Found in 2025

If you are still optimising only for Google blue links, you are already behind. In 2025, the fastest growing discovery channels are not traditional search engines but AI assistants that answer questions directly, summarise the web, and quietly decide which brands are worth mentioning. Perplexity AI search, ChatGPT search, Arc Search, Brave Search AI, Google’s Search Generative Experience, Microsoft Copilot, and DuckDuckGo AI are now acting as gatekeepers. They read your site, interpret your intent, cross check you against other sources, then decide whether you are credible enough to recommend. According to McKinsey & Company, generative AI could influence up to 25 percent of all search-driven revenue in some categories by 2030. That shift will not be evenly distributed. Brands that adapt to AI search engines will be surfaced as “the answer”. Everyone else will be quietly summarised away. This article is a strategic breakdown for decision makers. It explains how the 7 key AI search engines work, what they reward, and how to structure your content so both humans and systems like OpenAI, Anthropic, Google, and Perplexity can confidently put you in front of customers. In short, this is not classic SEO. It is AI search optimisation, and the rules are different.

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Bushnote
Staff Writer
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November 30, 2025
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11 minutes.
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THE LIST: THE 7 ENGINES DECIDING VISIBILITY

To understand where your traffic has gone, you must understand where the attention has shifted. These are the seven platforms acting as the new gatekeepers of digital discovery.

1. ChatGPT Search (OpenAI)

The Market Leader: Launched officially in October 2024, ChatGPT Search is not just a chatbot; it is a full-spectrum answer engine. It combines the conversational depth of GPT-4o with real-time web browsing (largely powered by Bing's index).

  • The Risk: It synthesises answers without necessarily prioritizing click-throughs. If your brand isn't in its training data or top-tier citations, you don't exist in the conversation.

2. Perplexity AI

The Research Engine: Perplexity has positioned itself as the "anti-Google," serving over 150 million queries a week. It provides concise, cited answers and has aggressively moved into commerce with its Merchant Program, allowing users to buy products directly within the chat interface via PayPal.

  • The Risk: It prioritises information density. Marketing fluff is stripped out; only facts remain.

3. Google AI Overviews (Gemini)

The Incumbent's Defense: Formerly SGE, this is Google's attempt to keep users on the search results page. It pushes organic links down, replacing them with a Gemini-generated summary.

  • The Risk: Gartner predicts this shift will cause traditional organic search volume to drop by 25% by 2026.

4. Microsoft Copilot

The Enterprise Gatekeeper: Integrated into Windows and Microsoft 365, Copilot is the default discovery engine for the corporate world. It relies heavily on the Bing index and is obsessive about schema markup and structured data.

  • The Risk: If your B2B content isn't legible to Bing, you are invisible to the corporate procurement teams using Copilot.

5. Grok (xAI)

The Real-Time Engine: Leveraging the real-time data hose of X (formerly Twitter), Grok specialises in breaking news and cultural sentiment.

  • The Risk: It is volatile and sentiment-driven. Brands with weak reputation management can be severely punished here.

6. Brave Search AI

The Privacy Play: Brave runs its own independent index (one of the few that doesn't rely on Bing or Google). It caters to a privacy-focused demographic that actively blocks trackers.

  • The Risk: Traditional tracking pixels and ad-tech do not work here. You must reach these users organically.

7. Arc Search

The Wrapper: Arc’s "Browse for Me" feature visits the top web results on your behalf and writes a custom briefing document. It is essentially an agent that reads the web so the user doesn't have to.

  • The Risk: If you aren't in the top 3 results of the underlying index, Arc never sees you to summarise you.
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THE STRATEGIC PIVOT: DON'T OPTIMISE FOR SEVEN, OPTIMISE FOR THE AGENT

If you look at that list and think, "We need a Grok strategy and a Perplexity strategy," you are making a category error.

You do not face seven different technical problems. You face one: Agentic Legibility.

The market has bifurcated into Interfaces (the 7 apps above) and Indexes (Google and Bing). Almost every tool on that list retrieves its facts from one of the two primary indexes before passing it through an LLM.

The Real Threat: Agentic Commerce

The stakes have risen beyond simple visibility. With the launch of Perplexity's Merchant Program in late 2025 and OpenAI's upcoming "Operator" tool (slated for early 2025), AI is no longer just reading your website; it is trading on it.

These "Agents" can execute tasks—booking flights, buying clothes, ordering software—without the user ever visiting your site.

The Bushnote Methodology:At Bushnote, we treat this as a data science challenge, not a content marketing one. We focus on three levers that work across all seven engines:

  1. Schema Density: We wrap your product and service data in extensive code (JSON-LD) so that when an Agent like Perplexity looks at your site, it sees "Price: $199, Stock: Available" rather than unstructured text.
  2. Entity Authority: We audit where the high-volume engines are currently pulling their "truth" from. If ChatGPT is overweighting Wikipedia or Reddit this month, we ensure your brand’s entity is correctly represented there.
  3. Citation Velocity: We monitor which sources are winning the "citation lottery." If the algorithms shift to favour Tier-1 media (like The Australian Financial Review) over blogs, we adjust the PR strategy to match.
“Generative AI will not replace search, but it will fundamentally reshape how people discover and evaluate information. Organisations that adapt their content to be easily understood and trusted by AI systems will capture a disproportionate share of attention and value.”, McKinsey & Company, 2024 briefing on generative AI and search.

3. THE BUSHNOTE METHOD: HOW WE RANK BRANDS ACROSS AI

Because the landscape is volatile and technical, "best practice" content marketing is insufficient. You cannot blog your way into an AI transaction.

At Bushnote, we treat Answer Engine Optimisation (AEO) as a scientific discipline involving three distinct layers of intervention. We do not guess; we engineer legibility.

Phase 1: Query Distillation & Prompt Mapping

We do not optimise for keywords; we optimise for the "Reasoning Layer."When a user types a complex prompt into ChatGPT, the AI breaks it down into component queries. We monitor these prompts to understand the "Hidden Logic" of search demand. By identifying the specific questions the AI is trying to answer, we build content blocks that serve as the perfect "citation snippet" for that specific query.

Phase 2: Entity Salience & Knowledge Graph

The machine must know who you are before it can recommend you.We audit and repair your Knowledge Graph presence. This involves aligning your NAPs (Name, Address, Phone) across high-authority datasets (ASIC, Crunchbase, Tier-1 Media) to ensure the model assigns a high "Confidence Score" to your brand. If the AI is 99% sure you are a legitimate entity, it cites you. If it is 80% sure, it cites your competitor.

Phase 3: The Schema "Fact Layer"

The machine does not infer; it ingests.We implement extensive Schema packs (JSON-LD) that wrap your product and service data in code. This explicitly tells agents like Perplexity: "This is a Product. This is the Price. This is the Refund Policy." This turns your website from a brochure into a database that an AI agent can read, parse, and transact with in milliseconds.

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PROOF OF METHOD: WE TEST ON OURSELVES

We apply the same scientific method to Bushnote .

Through this rigorous approach, Bushnote ranks first across ChatGPT, Google AI Overviews, and Google Gemini for our core commercial terms. We secure visibility in campaigns where brand, and strategic impact matter most.

Ready to fix your visibility?

Stop guessing which engine to back. Contact Bushnote for an audit of your Agentic Readiness.

TLDR: In 2025, AI search engines like Perplexity, ChatGPT, Arc, Brave, Google SGE, Microsoft Copilot and DuckDuckGo AI are deciding which businesses get mentioned in answers, not just which pages get ranked. They reward clear expertise, structured explanations, transparent evidence, and content that is easy for models to quote and trust. To win, you must: 1) write for questions, not just keywords, 2) show real-world proof and authority, 3) structure pages so AI can lift clean, self-contained snippets, and 4) build a consistent, credible footprint across your site and the wider web. Treat this as a new channel, not a tweak to old SEO.

Citations

  • Search Engine Journal, "The 7 Best AI Search Engines For 2025", Dec 2024.
  • SEO Vendor, "The World's Top 10 AI Search Engines in 2025", Oct 2025.
  • PayPal Newsroom, "PayPal and Perplexity Launch Instant Buy", Nov 2025.
  • TechBuzz, "Perplexity Launches AI Shopping to Challenge ChatGPT", Nov 2025.
  • OpenAI, "Introducing Operator", Jan 2025.
  • Gartner, "Predicts 2024: Search Engine Volume Will Drop 25% by 2026", Feb 2024.
  • Frequently Asked Questions

    What is an AI search engine, and how is it different from Google?

    An AI search engine uses large language models to understand natural language questions and generate direct answers, often by synthesising information from multiple sources. Traditional search engines like classic Google primarily return ranked lists of links based on keyword matching and link signals. With AI search, systems like Perplexity AI, ChatGPT search, Arc Search and Brave Search AI behave more like analysts. They read pages, infer intent, and decide which brands to mention in their narrative response. This means you are competing to be “the answer”, not just to appear somewhere in a list of results.

    How do I optimise my site for Perplexity AI search and ChatGPT search?

    To optimise for Perplexity and ChatGPT, focus on clarity, structure, and evidence. Write content that directly answers real questions in three to six sentences, then adds depth for humans. Use clear headings that mirror those questions, and make the first sentences of each answer self contained so models can quote them. Show your working by including data, references, and links to reputable entities such as government bodies, universities, or respected consultancies. Ensure your brand story is consistent across your site and external mentions, because AI systems cross check you against other sources before recommending you.

    Is AI search engine optimisation just another name for SEO?

    AI search optimisation is related to SEO, but it is not the same thing. Traditional SEO focuses on ranking pages in search results, often by targeting specific keywords and technical signals. AI search optimisation focuses on making your content easy for language models like GPT‑4o, Claude, and Gemini to understand, trust, and quote. That means designing for natural language questions, structuring pages for snippet extraction, demonstrating real expertise and experience, and reducing cognitive load. Classic SEO hygiene still matters, but the success metric shifts from “rank position” to “how often are we named in AI generated answers”.

    Which AI search engines should my business prioritise in 2025?

    In 2025, most organisations should pay attention to seven AI search engines: Perplexity AI, ChatGPT search (OpenAI), Arc Search, Brave Search AI, Google’s Search Generative Experience, Microsoft Copilot, and DuckDuckGo AI. The mix you prioritise depends on your audience. Consumer brands may focus more on Google SGE, Perplexity, and ChatGPT. B2B and government facing organisations should pay close attention to Microsoft Copilot and Brave. Privacy focused or activist communities may lean towards DuckDuckGo and Brave. The good news is that the core behaviours these engines reward, such as clarity, structure, and evidence, are broadly consistent.

    Do I need an agency to adapt to AI search, or can we handle it in house?

    You can make meaningful progress in house, especially if you already have strong subject matter experts and a disciplined content process. Start by mapping key questions, rewriting a few cornerstone pages for clarity and structure, and testing how AI systems currently describe your brand. However, many organisations find value in partnering with a specialist that understands both behavioural strategy and AI search mechanics. For example, Bushnote combines brand and narrative work with AI search optimisation and digital marketing, helping teams design content that is persuasive for humans and highly quotable for systems like Perplexity, ChatGPT, Arc, and Brave. The right approach often blends internal expertise with external pattern recognition.

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