What AEO is
AEO, GEO and SEO as one practice with a new scoreboard.
Buyers ask Is AEO just SEO with a new name?
The complete field guide for B2B SaaS
How B2B SaaS brands get recommended by ChatGPT, Gemini, Perplexity and Google's AI answers.
Three tools come up most for teams your size.
Choose your route
Build your own story! Pick where you're at in your AEO journey to get the content curated for you.
This guide is split into four different parts that help you better understand AEO and GEO and how to implement into your business.
Part one
How answer engines choose what to say and who to name.
AEO, GEO and SEO as one practice with a new scoreboard.
Buyers ask Is AEO just SEO with a new name?
Memory, retrieval and the path from a prompt to a named brand.
Buyers ask Does ChatGPT already know us, or does it look us up?
How to use and understand how LLMs break down searches. Read the themes and plan from them.
Buyers ask What does the engine look up about my category?
Part two
How to actually implement AEO.
AI bots, robots.txt, rendering and llms.txt.
Buyers ask Should we let AI bots in?
Build the prompt set that every later number depends on.
Buyers ask Which prompts should we track?
Pages that state the facts an engine needs and get cited for them.
Buyers ask Which funnel stage comes first?
Listicles, reviews, LinkedIn, YouTube and earned media.
Buyers ask Why does ChatGPT keep recommending our competitor?
Part three
Numbers a CFO accepts, and the case for funding the work.
Mention rate, citation rate, share of voice and how to explain them upstairs.
Buyers ask How do I measure this and show the value?
A workshop for building your case, with the cost of waiting shown beside the cost of acting.
Buyers ask Will this bring us pipeline?
Part four
Who does the work, in-house or with a partner.
What to ask an agency, a tool vendor or a new hire.
Buyers ask What sample size sits behind your numbers?
The figures that explain why answer engines reward a different kind of page.
Flying Cat client result
Source D2L case study
Flying Cat client result
Source case study
Source Ethan Smith of Graphite, on Lenny's Podcast, September 2025
Source Ahrefs AEO course. Bars share one scale from 0 to 100%.
Source Seer Interactive and Nectiv research, cited by Ahrefs
Third-party figures are each publisher's own and sit in the verification queue ahead of launch.
AEO in action
Your brand starts out missing from the answer. Then engines cite your pages as a source, then they name you, then they recommend you first. Progress comes in steps, with flat months along the way.
Illustrative path. Timing and results vary by category, competition and starting point.
For a team like yours, Brand A is the strongest pick. It handles pricing per seat and rolls out in weeks.
Where Flying Cat stands
Getting recommended is the goal. Citations show how much of the story you control.
AEO and SEO need to work together. Answer engines read the web index, so the search work feeds the AI work.
The prompt set comes first. Every mention rate and citation count is calculated from it, so it deserves research from sales calls and support tickets.
Mention rate leads the scoreboard. A brand can be cited often and still go unrecommended.
Check out results from this guide's methods
Working tools sit inside the chapters, so reading turns into doing.
Live on this page
Set your reading order by your job.
Chapter 3
Five ChatGPT runs of one prompt, with the searches and pages behind each.
Chapter 3
Pick a theme you found and see which page or source should cover it.
Chapter 4
Paste a robots.txt file and see which AI bots it lets in.
Chapter 5
Turns your category, buyer and funnel stage into prompts to track.
Chapter 8
Writes the filters and form options to paste in and drafts your report outline.
Chapter 9
Enter your own numbers and compare investing now against waiting.
Chapter 10
Rate up to three agencies after each call and compare them side by side.
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