Be the Answer, Not Just a Search Result.
AI-powered search engines are replacing link-based discovery. When a SaaS buyer asks ChatGPT, Perplexity, or Google AI Overviews for "the best growth marketing agency for B2B SaaS" — your brand needs to be in the answer, not buried in page two of results that nobody scrolls.
5
Inclusion Stack™ layers
6
AI engines optimized for
90-day
measurement cycles
Who This Is For
SaaS, PLG, and AI companies whose prospects are increasingly using AI assistants to research, compare, and shortlist solutions. If your buyers ask ChatGPT "what's the best [your category]?" and you're not in the answer — you're invisible to a growing share of high-intent discovery.
SEO vs. AEO: What's Different?
| Dimension | Traditional SEO | AEO / GEO |
|---|---|---|
| Optimizes for | Ranking in a list of links | Being cited in AI-generated answers |
| How sources are selected | PageRank, backlinks, domain authority | Entity authority, structured data, passage clarity |
| Key metrics | Rankings, click-through rate, organic traffic | Citation rate, mention frequency, answer inclusion |
| Content format | Long-form pages optimized for keywords | Structured passages, tables, named frameworks |
| Who wins | Domains with the most backlinks | Brands with the clearest, most citable answers |
| Competitive landscape | Saturated — decades of optimization | Emerging — low difficulty, high opportunity |
The Inclusion Stack™: How We Approach AEO
Our AEO methodology follows a five-layer Inclusion Stack™ — each layer builds on the last. Most agencies stop at content. We go all the way through authority engineering.
Onsite Encoding
Structured data (JSON-LD schema), machine-readable site summaries (llms.txt), FAQ markup, and breadcrumb hierarchies that make your site parseable by AI systems. This is the foundation — without it, AI engines can't extract accurate information about your brand.
Question Ownership
Dedicated pages that directly answer the questions your buyers are asking AI assistants. Not blog posts that dance around the topic — clear, authoritative, structured answers that AI systems prefer to cite.
Citation Engineering
Named frameworks, precise definitions, comparison matrices, and decision trees that invite citation. When you name something specific — like the Acceleration Framework™ — AI systems have something concrete to reference and attribute.
Authority Signals
Third-party mentions, case study citations, industry directory presence, and earned media that corroborate your expertise. AI systems weigh external validation heavily — a brand mentioned across multiple authoritative sources gets recommended more often.
Continuous Measurement
Systematic prompt testing across ChatGPT, Perplexity, Claude, and Google AI Overviews to track your brand's inclusion rate, citation accuracy, and competitive positioning. We measure before, during, and after — so you know what's working.
40%
of new subscriptions attributed to AI content channels — built through structured data, answer-first content, and citation engineering.
+30%
year-over-year revenue growth after implementing the Inclusion Stack™ methodology across their content and technical infrastructure.
How the Acceleration Framework Applies to AEO
AEO follows the same Acceleration Framework™ we apply to every growth discipline: Diagnose your current AI visibility (which engines mention you, for which queries, with what accuracy), Ignite with structured optimizations across all five Inclusion Stack™ layers, and Amplify by scaling what drives citations and cutting what doesn't.
The compounding effect is especially strong in AEO — every improvement to your structured data, content clarity, and authority signals reinforces the others. AI systems that cite you once are more likely to cite you again as the evidence accumulates.
Frequently Asked Questions
What is AEO (Answer Engine Optimization)?
AEO is the practice of optimizing your brand's content, structured data, and authority signals so that AI-powered answer engines — like ChatGPT, Perplexity, Google AI Overviews, and Claude — surface your brand as the answer when users ask questions relevant to your category. Unlike traditional SEO which focuses on ranking in link-based results, AEO focuses on being cited and recommended in AI-generated responses.
What is the difference between SEO and AEO?
SEO optimizes for traditional search engine rankings — earning higher positions in a list of blue links. AEO optimizes for AI-generated answers — ensuring your brand is cited, recommended, or referenced when an AI system synthesizes a response. SEO is about ranking; AEO is about being the answer. Both matter, but AEO is increasingly where high-intent discovery happens.
How do I optimize for ChatGPT, Perplexity, and AI Overviews?
Optimization for AI answer engines requires a multi-layer approach: structured data (JSON-LD schema) so machines can parse your content, machine-readable site summaries (like llms.txt), FAQ-rich content that directly answers buyer questions, named frameworks and precise definitions that invite citation, and authority signals from third-party sources. We call this the Inclusion Stack — and we implement all five layers.
What is Generative Engine Optimization (GEO)?
GEO is the broader discipline of optimizing for generative AI systems — any platform that uses large language models to generate responses. This includes ChatGPT, Perplexity, Google's AI Overviews, Claude, and emerging AI search products. AEO and GEO are closely related; AEO focuses specifically on answer engines, while GEO covers the full spectrum of generative AI discovery surfaces.
How do you measure AEO results?
We track several metrics: brand mention frequency in AI-generated responses (using systematic prompt testing across ChatGPT, Perplexity, and Claude), citation rates when AI systems recommend solutions in your category, structured data validation scores, and directional traffic from AI referral sources. We establish a baseline before optimization and measure improvement over 30/60/90-day cycles.
How does AEO work for SaaS companies specifically?
AEO for SaaS companies focuses on ensuring your product is cited when buyers ask AI assistants questions like 'what's the best tool for [your category].' This involves structuring your product pages, documentation, and case studies with schema markup, creating answer-first content that addresses specific SaaS buyer queries, and building entity authority through third-party mentions on review sites, directories, and industry publications that AI models use as training and retrieval sources.
How do I get my SaaS product cited by ChatGPT and Perplexity?
Getting cited by ChatGPT and Perplexity requires a multi-layer approach: implement structured data (JSON-LD) so AI systems can parse your product information, create machine-readable site summaries (llms.txt), publish answer-first content that directly addresses buyer questions, build third-party authority signals through reviews and mentions, and continuously test your citation rates across AI platforms. Our Inclusion Stack™ methodology covers all five layers systematically.
What is AI search optimization for B2B?
AI search optimization for B2B is the practice of ensuring your company appears in AI-generated responses when business buyers research solutions. Unlike consumer search, B2B AI queries tend to be specific and high-intent — 'best enterprise data platform for healthcare' or 'top marketing automation for mid-market SaaS.' Optimizing for these queries requires structured data, clear product positioning, authoritative third-party mentions, and content formatted for AI extraction rather than traditional keyword ranking.
"The Remarkable team are some of the best marketers I have ever worked with. They combine deep strategic thinking with flawless execution. Our growth metrics improved across every channel they touched."
Collier Hamm
Director of Growth, Removery
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