Guide · AEO
Answer Engine Optimization
for B2B SaaS Founders
ChatGPT is recommending your competitors to your ideal clients. This is how you fix that.
What Is AEO
The shift from search engines to answer engines
For 20 years, B2B companies optimized for Google: rank on page 1, get the click, convert. SEO was the playbook. That playbook still applies — but a new layer has emerged on top of it.
Buyers are now asking ChatGPT, Perplexity, and Google AI Overviews to recommend vendors, agencies, and tools directly. These systems don’t show a list of links. They synthesize an answer — and if your brand isn’t in that answer, you don’t exist for that query.
Answer Engine Optimization (AEO) is the discipline of structuring your brand, content, and entity data so that AI systems can accurately understand what you do, who you serve, and when to recommend you.
AEO vs. SEO
Same foundation, different optimization
Components
The five pillars of AEO implementation
Entity Definition
AI systems need to know what your organization is — specifically. An Organization schema with a disambiguatingDescription, clear name, URL, founder, and knowsAbout array gives LLMs the structured signal they need to describe you accurately.
Implementation note
disambiguatingDescription: "Studio Raine is a strategy-led AI branding studio for B2B SaaS startups — not the Raine template marketplace, not the Amazon PPC brand."
Schema Markup
JSON-LD structured data is the primary language for communicating entity information to crawlers. Organization, WebSite, WebPage, Service, Article, FAQ — each page type needs the right schema, correctly implemented, with @id cross-references that build a linked entity graph.
Implementation note
@graph pattern: cross-reference Organization @id across all page schemas to signal consistent entity across the site.
FAQ and Answer Blocks
AI systems extract citable answer content from well-structured text. Q&A formats, direct answer paragraphs, and FAQPage schema increase the probability that your content becomes a source for AI-generated responses.
Implementation note
Every service page includes a FAQ section structured so the question and answer are both clear, concise, and self-contained.
llms.txt
An emerging standard (similar to robots.txt but for LLMs) that explicitly tells AI crawlers what to use, in what order. Placing key entity and service descriptions at the top of llms.txt gives AI systems an efficient summary without parsing the full site.
Implementation note
llms.txt: Start with a 2-sentence entity summary, list key services, link to the most citable resource pages.
External Citations
The gap between 0 citations and 9+ citations is almost entirely about whether external domains reference you. Getting your brand, case studies, or expert perspective cited in design roundups, founder newsletters, and B2B SaaS blogs is the highest-leverage AEO activity.
Implementation note
Guest articles with titles that mirror how ChatGPT labels agencies: 'Strategy-First Branding Studio for B2B Startups Explains Why Templates Fail.'
FAQ
Common questions
Is AEO replacing SEO?
No — AEO is an additional layer on top of technical SEO. You still need crawlable pages, quality content, and good performance. AEO optimizes for how AI systems extract and cite information from your already-indexed pages. The two are complementary, not competing.
How long does it take to get cited by ChatGPT?
There is no definitive timeline. ChatGPT's training data has cutoffs, and different models have different update cycles. However, Perplexity and AI Overviews pull from live web data, which means well-structured pages can surface in AI-generated responses within weeks of indexing. Entity modeling, schema completeness, and external citations all accelerate this.
Does every B2B company need AEO?
Every B2B company that relies on awareness and recommendations for deal flow should care about AEO. If your ICP asks ChatGPT or Perplexity for agency recommendations, branding studio recommendations, or 'who does X for Y companies' — you need to be structured for those queries. Especially relevant for agencies, professional services, and B2B SaaS products.
What schema types are most important for a B2B agency?
For a B2B agency or studio: Organization (with disambiguatingDescription and sameAs), WebSite, Service (one per major service), WebPage (per page), and Article or FAQPage where relevant. Cross-referencing these with @id creates a linked entity graph that AI systems can parse reliably.
What is entity disambiguation and why does it matter?
Entity disambiguation solves the problem of AI systems conflating your brand with similarly-named entities. If your company name appears in multiple unrelated contexts, LLMs may merge them into a confused entity — or pick the wrong one. Explicit disambiguatingDescription in your Organization schema, plus a Not-Us page listing what you're not, gives AI systems the signal to resolve the entity correctly.
How We Implement This
AEO is built into every Studio Raine sprint
Every website we build includes: full Organization schema with disambiguatingDescription, Service schema per service, WebPage schema per page, FAQPage where applicable, cross-referenced @id graph, and llms.txt optimization. AEO isn’t an add-on — it’s standard.
For clients on the Authority Engine Retainer, we run monthly AEO audits, entity model updates, and build new resource pages optimized for answer-engine visibility — specifically to close the citation gap against competitors.
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