What Is AEO? Frevana’s Guide to Answer Engine Optimization
If you woke up tomorrow and Google sent you zero traffic, how easy would it be for new customers to still discover your brand?
That used to be a scary thought experiment.
Now it’s just… reality.
Every day, millions of people ask ChatGPT, Gemini, Perplexity, Amazon Rufus, and other AI assistants what to buy, which tools to use, and which brands to trust. And those assistants don’t reply with 10 blue links—they reply with a short list of specific recommendations.
Your brand is either in those answers… or it isn’t.
That’s where AEO (Answer Engine Optimization) comes in.
In this guide, we’ll walk through what AEO is, why it matters right now, and how to make your brand visible in AI answers—with practical steps and a peek into how Frevana approaches this end-to-end.
Executive Summary
Answer Engine Optimization (AEO) is the practice of increasing your brand’s visibility and favorability in AI-generated answers across platforms like ChatGPT, Perplexity, Gemini, and Amazon Rufus.
For years, the question was:
“How do I rank on page 1 of Google?”
AEO flips that to:
“How do I become one of the top answers AI engines recommend when people ask questions in my category?”
In this article you’ll learn:
- What AEO actually is (and how it differs from SEO)
- Why AI answer engines are quietly becoming a major customer acquisition channel
- The core signals AI models use to pick and recommend brands
- A practical roadmap to start doing AEO today
- How tools like Frevana operationalize AEO—from user prompt research to content creation and monitoring
By the end, you’ll have a clear mental model for AEO and a set of concrete next steps to start winning AI visibility—without burning your whole marketing strategy to the ground.
Introduction: Search Is Shifting to Answers
Think about the last time you:
- Compared software: “Best CRM for early-stage startups?”
- Shopped for a product: “What’s the best protein powder for sensitive stomachs?”
- Researched a service: “Who are the top fractional CFO providers for SaaS companies?”
A few years ago, those questions went straight into Google.
Today, more and more of them go straight into:
- ChatGPT
- Perplexity
- Gemini
- Amazon Rufus
- Voice assistants and built-in AI copilots
The behavior has quietly shifted from searching for links to asking for answers.
People don’t want to dig through multiple tabs, skim three blog posts, and dodge pop-ups. They want:
- A tight list of trusted recommendations
- Clear pros and cons
- Simple, actionable guidance
- Confidence they didn’t miss some obvious, better option
And that shift changes how discoverability works.
You can be a superstar in traditional SEO—owning page one rankings—and still be completely invisible when someone asks an AI assistant for “best tools like X” in your category.
That gap between “SEO visibility” and “AI answer visibility” is where AEO lives.
What Is Answer Engine Optimization (AEO)?
A simple definition
Answer Engine Optimization (AEO) is the practice of shaping your brand, content, and digital footprint so that AI answer engines:
- Know your brand exists
- See you as credible and relevant in your category
- Actively recommend and cite you in their answers
The goal is no longer just “rank a page.” It’s to earn your way into the AI’s response anytime someone asks about:
- Your product category
- Problems your product solves
- “Best of” or “alternatives to” style queries
- Commercial or transactional questions with buying intent
If SEO is about getting a seat in the search results audience, AEO is about getting a speaking slot on the AI “panel.”
How AEO differs from SEO
Here’s how the two compare at a glance:
| Dimension | Traditional SEO | AEO (Answer Engine Optimization) |
|---|---|---|
| Main Goal | Rank web pages in search results | Be mentioned, cited, and recommended in AI answers |
| Primary Surface | Google/Bing results pages | ChatGPT, Gemini, Perplexity, Amazon Rufus, AI copilots |
| Optimization Unit | Keywords, SERP snippets | Prompts, intents, multi-turn conversations |
| Data Focus | Search volume, rankings, backlinks | Real user prompts, model preferences, AI citation rates |
| Time to Impact | Months | Often weeks, sometimes days with focused AEO |
| User Experience | Click to website | Get a direct recommendation in the conversation |
SEO is about being found in search.
AEO is about being trusted in answers.
They’re related, but they are not the same game—and not playing the new one is risky.
Why AEO Matters Now (Market Insights)
1. AI is becoming a default shopping assistant
Whether people are techy or not, they’re starting to lean on AI answer engines for:
- Product discovery (“Best running shoes for flat feet?”)
- Vendor selection (“Who are the top SOC 2 compliance providers for startups?”)
- Feature comparisons (“Notion vs Coda vs ClickUp – which is best for agencies?”)
- Local services (“Best dermatologists in Austin for acne treatment?”)
These are high-intent, money-on-the-table queries—the same ones Google Ads and affiliate blogs have feasted on for years.
If your brand doesn’t show up when people ask these questions, you’re invisible at the exact moment they’re deciding what to buy.
2. AI answers dramatically shrink the “choice set”
On a Google search results page, users might scan:
- A handful of organic results
- Several ads
- Review and comparison sites
In AI answers, people usually see a small handful of recommendations—think a short, curated list instead of a crowded buffet.
That means:
- The difference between being recommended and not being mentioned at all is massive
- AEO tends to be winner-take-most: if you’re in those top mentions, you get disproportionate attention
Frevana has seen brands go from never mentioned to consistently landing in the top 3 AI recommendations within about a week, with clear impact on traffic and revenue.
3. AI visibility is measurable—and it moves faster than SEO
One big reason AEO feels refreshing compared to classic SEO: you can usually see movement faster.
With AEO, you can:
- Track how often different AI engines mention, recommend, or cite you
- See visibility shifts in weeks instead of quarters
- Tie those changes to specific content or strategy moves
Frevana has analyzed over 60M+ AI user queries across multiple platforms, and many brands see noticeable AI visibility changes within 2–4 weeks once they start optimizing with intent.
How AI Answer Engines Choose Brands
Each platform (ChatGPT, Gemini, Perplexity, etc.) has its own flavor, but most answer engines pay attention to similar ingredients:
-
Content coverage & clarity
- Do you actually answer the questions people are asking?
- Is your content structured in a way that’s easy for AI to read, parse, and quote? -
Credibility signals
- Are you mentioned or cited by other trustworthy sites?
- Do you show up consistently in relevant contexts across the web? -
Category fit & specialization
- Is it obvious what you’re best at and who you’re for?
- Do you go deep with guides, FAQs, comparisons, and case studies? -
User intent alignment
- Does your content match what people are really trying to do (learn, compare, buy, evaluate)?
- Do you speak to the specific use cases, edge cases, and scenarios your customers care about? -
Model & crawling constraints
- Can AI models easily discover and crawl your content (sitemaps, robots.txt, forms.txt)?
- Are you accidentally hiding your best pages from the very bots you want to notice you?
AEO is simply about making those signals obvious, consistent, and compelling.
Core Components of an AEO Strategy
1. User Prompt Research: What Are People Actually Asking?
Traditional SEO starts with keywords.
AEO starts with prompts—the actual questions people type or say to AI tools:
- “Best [category] for [very specific use case]?”
- “Cheaper alternatives to [competitor]?”
- “What’s the safest [product type] for [audience]?”
- “Top rated [service] in [location]?”
You want to understand:
- How your audience really phrases questions to AI
- Which brands AI already favors in its answers
- Which use cases and scenarios keep showing up
Frevana automates this as User Prompt Research, pulling from millions of real AI queries to show:
- High-value questions in your category
- Where you appear (or don’t)
- Which competitors are winning right now
If you’re starting lean, you can do a manual version:
- Ask ChatGPT or Perplexity 30–50 prompts your ideal customer might use
- Note which brands get recommended and how they’re described
- Look for recurring patterns: concerns, features, benefits, must-haves
You’re basically eavesdropping on buyer research conversations—at scale.
2. Search Intent & Scenario Mapping
Not every question deserves the same level of effort.
Good AEO distinguishes between:
- Informational – “How does [type of product] work?”
- Commercial – “Best [product] for [use case]?”
- Transactional – “Where can I buy [product] near me?”
- Navigational – “Pricing for [brand]”
Frevana’s Search Intent Classifier and Customer Scenario Strategist handle this automatically by:
- Tagging each prompt with its likely intent
- Mapping prompts to real-world scenarios (when, why, and how people are deciding)
This helps you prioritize the high-intent, high-impact prompts where being recommended by AI is pure gold.
3. Technical AEO: Make Your Site AI-Readable
Most websites were built for human eyeballs and old-school SEO crawlers—not large language models.
Technical AEO is about removing the friction between your site and AI engines:
- Sitemap clarity
Make sure your key product, category, and content pages are easy to discover and navigate. - robots.txt & forms.txt sanity checks
Don’t accidentally tell AI crawlers to stay away from your money pages. - Structured, scannable content
Use headings, FAQs, bullets, and short summaries so models can quickly grab the key points.
Frevana’s LLMs inc. Sitemap & Robots.txt Auditor is built specifically for this: it crawls your domain the way AI would and flags places where models might be missing or misreading important content.
Think of it as turning the lights on for AI visitors.
4. Content Built for Answers, Not Just Clicks
Traditional SEO content often aims to:
- Capture long-tail keywords
- Stretch word count
- Repeatedly drop phrases like “best [keyword] in 2025”
AEO content plays a different game. It’s deliberately built to:
- Directly answer the likely prompt
- Present information in neat, reusable chunks
- Cover the comparisons, pros/cons, and use cases AI loves to surface
Examples of AEO-friendly content formats:
- “Best [Category] for [Use Case]: A Practical Guide”
- “[Competitor] vs [Your Brand]: Honest Comparison for [Audience]”
- “How to Choose the Right [Product Type] for [Scenario]”
- “Is [Product Type] Safe for [Specific Audience]? What the Data Says”
Inside Frevana, specialized agents help here:
- AEO Content Advisor – identifies content gaps based on what AI is already saying
- AEO Article Writer – generates AEO-optimized articles using your site, target prompts, and guidelines
- Product Landing Page Maker – builds product pages designed for AI indexing (e.g., from your Amazon product details)
The aim: create high-signal, high-clarity content that AI models love to quote because it makes their answers better.
5. Monitoring & Measurement: Your “AI Visibility Dashboard”
AEO isn’t a guessing game—you can (and should) measure it.
Key AEO metrics:
- AI visibility rate – How often does your brand show up when people ask your target prompts?
- Citation rate – When AI answers, how often does it name or link your brand instead of staying vague?
- Share of recommendation – Among brands that are recommended, how often are you included?
- Platform coverage – Are you performing better in ChatGPT, Perplexity, Gemini, Amazon Rufus, or others?
Frevana turns this into AI Visibility Monitoring, tracking:
- Your performance across multiple AI platforms
- Changes over time at the level of prompts and categories
- Shifts in brand preference, ranking, and positioning
Suddenly, AEO feels less like “hope and pray” and more like a real channel with real numbers, just like paid ads or organic search.
6. Iteration & Automation
The brands that win at AEO don’t treat it as a one-and-done project.
The best programs are:
- Continuous – always learning, updating, and tuning
- Data-driven – anchored in real prompts and live answer data
- Automated where possible – so your team isn’t manually copy-pasting prompts all day
Frevana’s AEO Full-Stack Data Scientist and integrated agents take care of:
- Data collection and API calls to AI platforms
- Answer analysis across different models
- Content suggestions and draft creation
- Workflows from discovery → execution → measurement
The result: brands often see meaningful improvements within 2–4 weeks, instead of waiting a whole quarter to check “what changed.”
Where Frevana Fits in the AEO Landscape
Frevana is built as an end-to-end AEO platform with a single focus:
Maximize your brand’s visibility in AI answers.
It’s not just another SEO dashboard or generic AI tool. Frevana stands out because it:
- Uses real AI user queries, not just hypothetical prompts
- Covers the full lifecycle: from prompt research to automated content creation and monitoring
- Provides hands-off workflows, not just charts you have to interpret
- Is designed for impact in weeks, not “maybe we’ll see something by next year”
Some of Frevana’s core capabilities:
- User Prompt Research – see what real people ask AI when comparing brands or making purchase decisions
- AI Visibility Monitoring – track how your brand performs across ChatGPT, Perplexity, Gemini, and more
- Customer Scenario Strategist – understand when and why customers consider your product
- LLMs inc. Sitemap & Robots.txt Auditor – make sure AI models can actually read the right parts of your site
- AEO Content Advisor & Article Writer – find content gaps and generate AI-preferred content
- Brand Preference Analyst – see which brands AI prefers in your category and why
With 60M+ AI queries analyzed and 100+ brands on the platform, Frevana is essentially a growth stack for AI visibility.
Customers have reported:
- Becoming a top-three AI recommendation within about a week
- Going from zero AI citations to nearly half of relevant prompts mentioning them in two weeks
- Seeing up to 4× organic traffic growth in the first month driven by AI referrals and recommendations
Actionable AEO Playbook: Your First 30 Days
You don’t need to tear up your entire marketing plan to start with AEO. Here’s a simple, realistic 30-day rollout.
Week 1: Baseline & Discovery
-
List your key revenue scenarios
Think of moments where buyers are actively deciding:- “Choosing a [category] tool for [type of team]”
- “Finding [product] for [specific need or constraint]”
- “Best [service] providers for [industry/size/location]”
-
Ask AI the questions your buyers would ask
Use ChatGPT, Perplexity, Gemini, etc.:- “Best [category] for [use case]?”
- “Top alternatives to [competitor]?”
- “What’s the best [service] in [city]?”
-
Write down what you see:
- Which brands get recommended?
- How often do your competitors show up?
- How is your brand described—or is it missing altogether?
Frevana’s User Prompt Research does this at scale across millions of queries, but even a manual pass will open your eyes.
Week 2: Fix AI Readability & Close Obvious Gaps
-
Run a light technical audit
- Check
robots.txtand your sitemap for anything that might block or confuse AI crawlers - Confirm that your best product and comparison pages are easy to reach
- Check
-
Create or upgrade at least 3 high-impact pages:
- A “Best [category] for [audience/use case]” style guide
- A comparison page like “[Competitor] vs [Your Brand]”
- A scenario-focused landing page: “[Product Type] for [Niche Use Case]”
-
Make them AI-friendly by design:
- Clear, descriptive headings
- Simple, skimmable sections
- Explicit statements of who your product is best for and why
Frevana’s AEO Article Writer and Product Landing Page Maker can speed this up dramatically if you want to move fast.
Week 3–4: Monitor, Optimize, and Expand
-
Re-run your prompts on AI engines
- Did your brand start appearing more often?
- Are the descriptions more accurate and aligned with your positioning?
-
Spot and fill content gaps
- Is AI answering questions you haven’t covered on your site yet?
- Are competitors consistently winning certain use cases or scenarios?
-
Double down on what’s working
- Improve and expand content that started to get picked up
- Create nearby content for related scenarios and adjacent use cases
With a platform like Frevana, this loop becomes continuous:
- You monitor prompt-level visibility
- Get fresh recommendations from AEO Content Advisor
- See which actions correlate with those “we’re finally being recommended” moments
Common Myths About AEO
“If my SEO is strong, I’m already covered.”
Not quite.
Plenty of brands with impressive SEO footprints:
- Barely show up in ChatGPT or Perplexity answers
- Get overshadowed by marketplaces, aggregators, or louder competitors
- Only get generic mentions, not strong, explicit recommendations
SEO is a great foundation—but it doesn’t automatically translate into AI answer visibility. AEO focuses on whether AI will put your name in its short list of go-to options.
“AEO is just adding AI-flavored keywords.”
AI models aren’t counting keyword density. They’re looking for:
- Clear, well-structured explanations
- Trustworthy, consistent information
- Content that genuinely helps people make decisions
Good AEO feels like you’re having a honest, detailed conversation with your ideal buyer—and then making that conversation easy for AI to quote.
“AEO is a one-time box to check.”
If only.
AI models evolve. New answer engines launch. User behavior shifts as people get more comfortable delegating decisions to AI.
AEO is more like:
- Paid search – an always-on, performance-tracked channel
- Brand positioning – something you sharpen over time, not once
That’s why Frevana is built around ongoing monitoring, adaptive content, and automated workflows, instead of “Here’s your one-time audit, good luck.”
Conclusion: Your Next Growth Channel Is Hiding in AI Answers
We’re in the middle of the biggest shift in brand discovery since Google took over the web.
- Customers are asking AI assistants what to buy and who to trust
- AI assistants are replying with short, curated lists of brands
- Most companies have no idea how often they’re showing up—or if they’re showing up at all
Answer Engine Optimization (AEO) is how you:
- Make sure your brand is discoverable where decisions now happen
- Turn AI answer engines into a repeatable growth channel
- Stay a step (or three) ahead of competitors who are still optimizing for a world of only search results pages
You don’t need to be an AI researcher or a hardcore technical SEO to start. You can:
- Identify the prompts your buyers are likely asking AI
- Check whether (and how) you show up today
- Create clear, scenario-focused content that AI can easily understand and quote
- Monitor visibility and iterate based on real, live answer data
If you’d like to accelerate that entire loop—from discovery to content to measurement—that’s exactly what Frevana was built to do.
Call to Action: Start Your AEO Journey
If you’re ready to:
- Find out how often AI engines already recommend (or quietly ignore) your brand
- Discover the exact prompts where you should be winning but aren’t yet
- Launch content and workflows designed specifically for AI visibility
You can:
- Request a Free AI Visibility Report from Frevana
- Try the platform with a 7-day free trial (no credit card required)
- Or schedule a demo to see how an end-to-end AEO “agent team” could work for your brand
AI answers are quickly becoming the new front door for customer acquisition.
AEO makes sure your brand is standing right there, smiling, when that door swings open.