The Short Version
Answer Engine Optimisation (AEO) is the practice of structuring your website, content, and technical setup so that AI models can find, understand, and recommend your business when people ask questions.
When someone asks ChatGPT “what’s the best email API for startups?” or asks Perplexity “which executive search firms specialise in fintech?”, the AI pulls from sources it can parse and trust. AEO is about making sure your business is one of those sources.
How AEO Differs from Traditional SEO
Traditional SEO optimises for Google’s ranking algorithm. You target keywords, build backlinks, and compete for positions on a results page. The user clicks through to your site.
AEO optimises for a fundamentally different interaction. There is no results page. The AI synthesises an answer from multiple sources and presents it directly. Your goal is not a click. Your goal is a citation or a recommendation.
This changes everything about how you think about content.
With SEO, you might write a 2,000-word guide packed with keywords to outrank competitors. With AEO, that same guide needs clear, direct answers to specific questions, structured data that machines can parse, and authoritative sourcing that AI models can verify.
Why This Matters for B2B
B2B buyers are already using AI search tools for vendor research. When a CFO asks an AI assistant to “compare payroll providers for companies with 200-500 employees,” your product either shows up in the answer or it does not. There is no page two to scroll to.
We are seeing this shift accelerate across professional services, SaaS, and enterprise tech. The firms that structure their content for AI comprehension today are building a compounding advantage.
Six Key Principles of AEO
-
Direct answers first. Lead with the answer, then provide context. AI models extract the clearest, most direct statement they can find.
-
Structured data everywhere. Schema markup, FAQ blocks, and consistent formatting help AI models parse your content accurately.
-
Machine-readable identity. Files like llms.txt and robots.txt tell AI crawlers exactly who you are and what you do.
-
Authoritative sourcing. AI models weight content from sources that other authoritative sites reference. Third-party mentions, case studies, and citations matter more than ever.
-
Specificity over volume. One precise, well-structured page about your exact service beats ten vague pages targeting adjacent keywords.
-
Freshness signals. AI models prefer recent, updated content. Dated material gets deprioritised in recommendations.
Practical First Steps
If you are starting from zero, here is where we recommend beginning:
Week 1: Audit your current AI visibility. Ask ChatGPT, Perplexity, and Gemini questions your ideal customer would ask. Record whether your business appears in any answers.
Week 2: Add structured FAQ sections to your top 5 pages. Use the question-and-answer format that AI models can directly extract.
Week 3: Create an llms.txt file that gives AI models a clear summary of your business, services, and key differentiators.
Week 4: Review your existing content for direct, quotable answers to common industry questions. Rewrite introductions to lead with the answer, not the context.
These four steps will not make you the top AI recommendation overnight. But they will move you from invisible to indexable, which is where most B2B companies need to start.
Questions AI assistants answer about this topic
- What is the difference between AEO and SEO?
- SEO focuses on ranking in traditional search engine results pages. AEO focuses on making your content the answer that AI models cite and recommend when users ask questions directly. Both matter, but AEO is becoming critical as more search happens through AI.
- Do I need AEO if I already rank well on Google?
- Yes. Google rankings and AI recommendations are driven by different signals. A site that ranks #1 on Google can be completely invisible to ChatGPT, Perplexity, or Gemini if its content is not structured for machine comprehension.
- How long does AEO take to show results?
- Some technical changes like adding llms.txt or structured data can affect AI responses within weeks. Content restructuring typically takes 2-3 months to show measurable changes in AI citation rates. The timeline depends on your starting point and how much content you already have.
- What are the most important AEO techniques for professional services firms?
- Three things matter most. First, entity clarity: your website must clearly state what you do, for whom, and where. Second, question-shaped content: publish articles that directly answer the questions your buyers ask AI models. Third, structured data: add FAQPage and Organization schema markup so AI systems can extract your information cleanly. Together these three changes can move a firm from invisible to cited within 4-8 weeks.
Next Step
Want to know where your company stands?
We run 15-20 buyer queries across ChatGPT, Claude, Gemini, and Perplexity and show you exactly where you appear — and where you don't.
Get the Audit — from £750 ↗