Which AI Should You Optimise For? A Guide by Audience Type

Who this guide is for

This guide is for businesses where purchase decisions involve research, comparison, or trust: firms selling into enterprise procurement, professional services that depend on recommendation, SaaS companies competing in defined categories, and B2C brands with considered purchase cycles.

This guide is not for impulse-purchase ecommerce, ultra-local services with no online consideration phase, or businesses that have not yet established clear category positioning.

The quick answer

• Enterprise and regulated sectors – prioritise Microsoft Copilot (via Bing)
• B2B SaaS and technology – prioritise Perplexity AI and ChatGPT
• B2B services (law, accountancy, consultancy) – prioritise ChatGPT and Google
• B2C with considered purchase – prioritise Google first, then ChatGPT

AI visibility is a selection system, not a single ranking

AI visibility is not one platform. It is a selection system with three layers: retrieval (where the model gets its information), corroboration (whether your brand is independently verified), and citation (whether you are included in the answer). Different platforms weight these layers differently. Perplexity AI is currently one of the most consistently source-attributed consumer-facing AI platforms. That makes it excellent for research-led buyers, and largely irrelevant for consumer purchase decisions.

SEO did not die. It multiplied.

Search for “rank website in google” and you find something unexpected: a +1,275% rise in volume since December 2025. That is not a Google comeback story. It is users beginning to distinguish between ranking in Google and appearing everywhere else. A distinction that did not exist in their vocabulary 18 months ago. Meanwhile, “rank website in ChatGPT,” “rank website in Perplexity,” “rank website in Claude” all show zero search volume. Not because there is no demand. Because the language has not settled yet. That is exactly where early Google SEO was in 2002.

The people who declared SEO dead confused interface change with demand change. The demand never left. It fragmented across surfaces. ChatGPT now has 900 million weekly active users (OpenAI, February 2026). At the same time, the citation surface inside each ChatGPT response is contracting: analysis of 27,000 responses found that after GPT-5.3 Instant became the default in early March 2026, the average number of unique domains cited per response dropped 20%, from 19 to 15. Fewer sites share the citation pool — and those that do are cited more thoroughly. SEO did not die. Ranking has multiplied across systems, and the businesses building infrastructure now, before the volume arrives, will own the positions that look obvious in retrospect.

Why most LLM guides get this wrong

The confusion stems from conflating two separate questions: which AI model produces the best outputs, and which AI platforms are shaping buyer decisions in your market. These have completely different answers. The first is contested and changes with every model release. The second is deterministic, audience-specific, and far more actionable. There are now dozens of guides ranking large language models on benchmark scores. These are useful if you are building software. They are almost entirely useless if you are trying to understand whether your law firm, your SaaS platform, or your consultancy will appear when a buyer asks an AI system for a recommendation.

The three-level model

You cannot ignore any level. But you cannot budget equally across all three. The ground level still carries the most traffic and the most established ROI. The first level is where you are already competing whether you realise it or not. The second level is where early positioning creates lasting advantage, because when the ladder becomes a permanent staircase, the brands already known there will be cited first.

Find your audience, then find your platform

Select your audience type below to see which AI platforms actually matter for your buyers, what to prioritise first, and what a realistic timeline looks like.

Enterprise and regulated sectors

Financial services, NHS suppliers, legal 200+, insurance, public sector vendors, regulated manufacturing

Microsoft 365 is the dominant productivity environment in UK enterprise. Copilot is embedded directly within it, in Teams, Word, Outlook, SharePoint. When a procurement professional asks for a vendor shortlist, they are increasingly asking Copilot, not as a deliberate AI choice but as a reflex because the interface is already open. Copilot retrieves from Bing. In the US, Bing holds 10.52% of desktop search traffic and over 10% of the UK market — figures that understate the real reach once Copilot usage is factored in. Your Bing indexation, structured data, and entity consistency across external sources directly determine whether you exist in that interaction.

Perplexity AI holds secondary priority here because analysts and researchers in enterprise environments use it heavily for sourced, cited comparisons. But the structural deployment of Copilot across Microsoft 365 environments means the Bing foundation comes first.

What enterprise AI platforms reward

• Entity corroboration – consistent company name, address, registration number, and service description across Companies House, Wikidata, LinkedIn, and your own schema markup.
• Security and compliance signals – ISO certifications, regulatory alignment, SOC status.
• Third-party validation – analyst mentions, earned press, industry body membership.
• Extractable answers – a model must be able to pull a clear one-paragraph description of what you do for a specific use case.

The reality check: If you sell into the NHS or financial services sector and your entity is not independently corroborated, you are not being evaluated by AI-assisted procurement tools. Not losing rank. Not in the consideration set.

B2B SaaS and technology companies

Software vendors, API products, developer tools, data platforms, marketing technology

SaaS buyers begin with a problem, then a category, then a comparison. That comparison is increasingly happening inside AI systems before it reaches a review site or a sales call. Perplexity handles “alternatives to X” queries well because it retrieves in real time, cites sources, and produces structured comparison outputs. If your product is not present in the independent sources Perplexity retrieves from, including G2, Capterra, Reddit, and editorial comparisons, you will not appear in those outputs regardless of your organic SEO performance. ChatGPT shapes the earlier layer: category awareness. If ChatGPT describes your category without including you, you have a corroboration problem, not a content problem.

The reality check: If your product is not co-mentioned with direct competitors in third-party sources, you do not exist in the category from an AI’s perspective. High domain rating does not substitute for independent co-citation.

B2B services: high-trust professional services

Law firms, accountancy practices, management consultants, specialist contractors, HR and recruitment agencies

A managing director’s company receives a statutory demand. It is 9pm. They are not going to search Google, navigate three pages of results, visit four law firm websites, and fill in a contact form. They are going to ask ChatGPT: “which law firms handle statutory demands in Manchester?” If your firm is not in that answer, the form never gets filled in. Not because your website underperformed. Because you were not in the shortlist that formed before anyone visited a website. This is the structural shift professional services firms are slowest to recognise.

The reality check: If an AI system cannot confidently describe what you do, who you do it for, and in what specific circumstances, it will not recommend you.

B2C with considered purchase

Private healthcare, independent schools, property, consumer legal services, financial advice, high-value home services

For most B2C categories, the buyer journey still begins on Google. But AI Overviews now intercept informational queries at scale: “how do I choose a private school,” “what should I look for in a financial adviser,” “is private healthcare worth it.” These were previously answered by ten blue links. They are now increasingly answered by a single AI-generated response. ChatGPT is most relevant for research-heavy consumers: buying property, choosing a private medical provider, selecting a school.

The reality check: You are not shortlisted if you are not visible during the research phase. For considered purchases, the shortlist forms before the buyer contacts anyone.

The entity layer: why some brands get cited and others do not

AI systems do not choose to include a brand because its content is well-written. They include a brand because its entity is corroborated: because multiple independent sources, each with their own credibility signals, describe that brand consistently enough for the AI to make a confident attribution. Content quality is a necessary condition, not a sufficient one.

Entity corroboration requires three things working together. Consistency: your company name, address, founding date, and service description must match across your website, Companies House entry, Wikidata record, LinkedIn page, and Google Business Profile. Independence: the sources corroborating your entity must be independent of each other and of you. Earned press coverage counts for more than sources you control. Specificity: your entity needs to be associated with extractable claims, not vague positioning.

What to do first

Universal actions for all audiences

1. Homepage clarity. State what you do, who you do it for, and where you operate in the first 200 words. Not brand language. A clear, extractable description.
2. Organisation schema with sameAs links. Add sameAs links to your LinkedIn company page and Companies House record.
3. Wikidata entity. Add your official website as property P856. Add headquarters location and industry. Five minutes. Outsized impact on entity resolution.