Skip to content
All Services Last updated: September 2026
AEO & GEO Agency for SaaS & AI Companies

Be the Answer, Not Just a Search Result.

The Remarkable is an answer engine optimization (AEO) and generative engine optimization (GEO) agency for SaaS, PLG, and AI companies. AI-powered search is replacing link-based discovery. When a buyer asks ChatGPT, Perplexity, or Google AI Overviews for "the best tool in your category," your brand needs to be in the answer, not buried in results nobody scrolls.

5

Citation 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.

AI SEO agency

What does an AI SEO agency do?

An AI SEO agency should improve whether your brand appears in AI-generated answers, not simply use AI to publish more pages. The work combines technical encoding, answer-first content, and authority signals with citation testing. Success means stronger brand inclusion and more accurate citations across ChatGPT, Perplexity, Claude, and Google AI results.

The distinction matters because production volume is not the same as visibility. AI-assisted bulk SEO can create pages quickly, but it does not establish the evidence or third-party authority that answer engines need.

According to Google Search Central, foundational SEO practices still apply to AI Overviews and AI Mode. We treat crawlability, useful content, and accurate structured data as the base, then test brand inclusion across the wider answer-engine set.

AI search optimization compared with AI-assisted bulk SEO
What you compare AI search optimization AI-assisted bulk SEO
Primary goal Earn accurate mentions and citations Publish more search pages
Core work Content, schema, and authority signals Prompts, templates, and production
Quality control Evidence and citation accuracy Editing and duplicate checks
Measurement Brand inclusion and citation quality Page count and search rankings

A strong fit

This model fits SaaS, PLG, and AI companies with a clear category, credible expertise, and buyers who research solutions in AI assistants. It works best when the brand can support strong claims with product and customer evidence.

Not the right fit

It is not the right fit for teams seeking hundreds of lightly edited pages or an instant ranking guarantee. Citation gains require clear positioning, useful source material, technical access, and ongoing measurement.

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 Citation Stack™: How We Approach AEO

Our AEO methodology follows a five-layer Citation Stack™ — each layer builds on the last. Most agencies stop at content. We go all the way through authority engineering.

Layer 1

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.

Layer 2

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.

Layer 3

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.

Layer 4

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.

Layer 5

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.

Proof Point — Hedge Fund Alpha

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 Citation Stack™ methodology across their content and technical infrastructure.

Read the full case study

How the Acceleration Framework Applies to AEO

AEO follows the same Acceleration Framework™ we apply to every growth discipline: Diagnose to find what is holding growth back, Spark to launch focused tests across the highest-impact growth levers, and Amplify to scale what works and turn it into a repeatable system.

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 Citation 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 Citation Stack™ methodology covers all five layers systematically.

What does an AEO agency do?

An AEO agency gets your brand cited and recommended in AI-generated answers. The Remarkable is an AEO and GEO agency for SaaS, PLG, and AI companies: we implement structured data, answer-first content, named frameworks, and third-party authority signals, then measure citation rates across ChatGPT, Perplexity, Claude, and Google AI Overviews. The goal is simple — when buyers ask an AI assistant for the best solution in your category, you are in the answer.

What is an AI SEO agency, and is that the same as AEO?

An AI SEO agency improves how your brand appears in AI-generated search results, which overlaps with AEO and GEO. Some providers use 'AI SEO' to describe publishing traditional search content faster with AI tools. We focus on citation outcomes: whether ChatGPT, Perplexity, Claude, and Google AI results surface your brand accurately. Our Citation Stack™ covers the technical, content, and authority layers that influence those citations.

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