+3130+ brands track with Alexandrya.AITeam in Munich, since 2015
Answer engine optimisation
AEO means being the answer, not a result.
Answer engine optimisation aligns content so that it is returned as the answer itself: in ChatGPT, in the Google AI Overviews, in Perplexity. The work is measurable, but only if you collect which answer is actually served and which source it cites. That is exactly what Alexandrya.AI does.
- 7 days free
- No credit card required
- All features included
- Cancel anytime
We track
ChatGPT
Gemini
AI Overviews
Perplexity
Copilot
Claude
BVDW
member
GDPR
compliant
Trusted by 130+ brands
Why you need this now
The shortlist is built inside AI. No longer on page one of Google.
25%
of search volume will run through AI chatbots and LLMs instead of classic search engines by 2026.
Gartner
80%
of users rely on AI answers for at least 40% of their searches. Whoever gets recommended there gets the inquiry.
Bain & Company, February 2025
5 to 10%
of the content in AI answers comes from the brand’s own website. The rest comes from third-party sources.
McKinsey & Company, October 2025
+340%
more AI visibility for thyssenkrupp Schulte in 6 months with Alexandrya.AI.
Client project
If your brand is not named in transactional questions like “Which supplier is best for …?”, it is practically invisible to that lead. In that buying decision it simply does not exist.
Classic SEO tools show rankings and clicks, not what ChatGPT, Gemini or Claude say about you. Alexandrya.AI measures exactly that.
A typical example
The buyer asks the AI. Others get named.
Alexandrya.AI measures exactly these answers every day: which models leave your brand out, who gets recommended instead and which sources sit behind it. The dashboard shows how that changes over time.
Example · prompt to Perplexity
“What should you look for when choosing in this product category?”
- Trade publication · named in position 1
- Competitor A · named in position 2
- Your brand · not cited as a source
Definition
What answer engine optimisation means
Answer engine optimisation (AEO) is the practice of aligning content with systems that answer a question directly instead of returning a list of links.
An answer engine takes a question and returns a written answer. That is the Google AI Overviews, ChatGPT, Perplexity, Microsoft Copilot and voice assistants, and in classic search featured snippets and people-also-ask boxes have done it for years.
The difference to classic search engine optimisation is not the craft, it is the target metric. SEO optimises for a position in a list. AEO optimises for your content to carry the answer: as a quoted passage, as a named source, or as the sentence the system adopts.
In practice that means cleanly bounded passages that stand on their own, clear entities and structured data, plus evidence from third-party sources. And it means the effect cannot be read off a ranking, only off the answers themselves.
Where it sits
SEO, GEO and AEO side by side
The three terms are often used interchangeably. They describe the same shift from three angles, and they measure three different things.
Search engine optimisation
- The question
- What position does my page rank in?
- The result
- A list of ten blue links
- What is measured
- Rankings, impressions, clicks
Generative engine optimisation
- The question
- Does the AI name my brand in its answer?
- The result
- A written answer naming a handful of options
- What is measured
- Mention rate, share of voice, sentiment, sources
Answer engine optimisation
- The question
- Am I the answer to the specific question?
- The result
- A single answer, often without a source list
- What is measured
- Answer share, cited passages
AEO and GEO
Where the two overlap and where they do not
Much of the groundwork is identical. What has to be kept apart is the target: one correct answer is not the same as a recommendation among several vendors.
AEO and GEO · same groundwork, different target metric
Answer engine optimisation
Goal: be the answer
- Featured snippets and people-also-ask
- Voice assistants and short answers
- One factual question, one correct answer
Shared groundwork
- Cleanly bounded, quotable passages
- Structured data and clear entities
- Evidence from third-party sources
- Measuring which source actually gets cited
Generative engine optimisation
Goal: be recommended inside the answer
- Buying situations with several vendors
- Share of voice against competitors
- Sentiment and factual accuracy
The distinction is not hair-splitting. AEO is about one correct answer, GEO is about a selection among several vendors. The groundwork is the same, the target metric is not, and neither is the measurement.
What AEO demands in practice
Four things it actually hangs on
Quotable passages
A paragraph that makes sense without the rest of the page gets picked up. A paragraph that needs three references further up does not.
Clean entities and structured data
The system has to be able to tell what you are talking about and who you are. Without an unambiguous entity the statement ends up attributed to someone else.
Evidence from third-party sources
Over 65% of the content in AI answers does not come from the brand website. What others write about you weighs more than your own self-description.
A measurement that collects answers
Without ongoing querying you never know whether a change worked. Rankings will not show it, because the answer does not appear in Search Console.
What this looks like in the tool
Which source actually carries the answer
Pricing
Measure first, optimise afterwards
The first 7 days cost nothing. If you want to continue after that, plans start at €79 per month.
- Unlimited users on every plan
- Daily tracking
- Cancel anytime
- GDPR-compliant data processing
from €79
per month, after the free trial
- 7 days free
- No credit card required
- All features included
- Cancel anytime
How it works
Three steps to measurable AEO work
- 01
Collect the questions
The concrete questions your customers ask, not the keywords a tool suggests.
- 02
Collect the answers
Alexandrya.AI runs the same prompts daily across 7 platforms and logs mention, citation and source.
- 03
Work on the cited source
You see which text carries the answer, and whether it is yours or a trade publication’s.
Customer stories
What customers say after the first measurement
“Alexandrya.AI opened our eyes. We had no idea ChatGPT was recommending our competitors and not us. Within three months we tripled our AI visibility.“
Markus SteinbachSenior Digital Marketing Manager, ThyssenKrupp Schulte“For an e-commerce brand, AI visibility decides whether you are in the shortlist at all. Alexandrya.AI shows us exactly where we stand and what to fix. We would not want to work without it.“
Maria, Matcha BabyFounder & CEO, Matcha BabySuccess story
ThyssenKrupp Schulte increased its AI visibility by 340%
Through targeted monitoring and optimisation with Alexandrya.AI over six months.
+340 %
Who is behind this
Why we built Alexandrya.AI
Since 2015 our agency NX Digital has been making companies visible in Google search, among them ZEISS, Thalia, ThyssenKrupp, BMW and SKY. Since 2020 we have been building our own analysis engine that pulls content and competitive insight out of large data sets.
Then came ChatGPT, Perplexity and the AI Overviews, and with them a question no SEO tool could answer: what is the AI actually saying about our clients, and who is it recommending instead? So we pointed our engine at exactly that. Since 2025 Alexandrya.AI has been a product in its own right.
Every recommendation in the tool comes out of the same consulting practice we have run since 2015. We do not just want to show you that you are invisible. We want to show you what to do about it.
Talaal Max HabibFounder & CEOArtur LukasewitschFounder & CTO
- active brands
- 130+
- of search consulting, since 2015
- 11 years
- our own analysis engine
- since 2020
- tracking across all platforms
- daily
A personal note
A word from the founder
“AEO is being sold as a new discipline, but most of the craft is familiar: readable paragraphs, clean entities, outside evidence. What is new is that you can no longer see the result in a ranking. Anyone serious about AEO needs a measurement of the answers first. Everything else is optimising blind.”
Talaal Max Habib · Founder & CEO, Alexandrya.AI
Search consulting since 2015, for clients including ZEISS, Thalia, ThyssenKrupp and BMW. Based in Munich, Germany.
Frequently asked questions
Questions about answer engine optimisation
What is answer engine optimisation?
Answer engine optimisation (AEO) is the practice of aligning content with systems that answer a question directly instead of returning a list of links: ChatGPT, the Google AI Overviews, Perplexity, Microsoft Copilot, voice assistants and the featured snippets of classic search. The goal is not a position in a list but for your content to carry the answer that is served: as a quoted passage, as a named source, or as an adopted sentence.
What is the difference between AEO and GEO?
AEO aims at being the answer to a factual question: usually there is one correct answer. GEO (generative engine optimisation) aims at being recommended inside an answer where several vendors qualify. The groundwork is largely the same: quotable passages, clean entities, third-party evidence. The target metric differs, and so does the measurement: AEO measures answer share, GEO measures mention rate and share of voice against competitors.
What is the difference between AEO and SEO?
SEO optimises for a position in a results list and measures rankings, impressions and clicks. AEO optimises for being used inside a written answer and measures which answer is served and which source it cites. The two share a great deal of craft, but the effect of AEO is invisible in classic SEO metrics.
How do I measure whether AEO is working?
Not through rankings, but through the answers themselves. You need ongoing querying of the same questions across several platforms, logging whether your brand is named, whether your page is cited as a source and which passage was adopted. Alexandrya.AI collects this daily and shows the trend, so an improvement can be told apart from ordinary day-to-day variation.
What kind of content do answer engines favour?
Passages that stand on their own and make sense without the rest of the page. Add an unambiguous entity (the system has to be able to tell who you are), structured data and, above all, evidence from third-party sources: according to McKinsey, over 65% of the content in AI answers comes not from the brand website but from reviews, trade articles and forums.
Which platforms does Alexandrya.AI cover?
Among others ChatGPT, Google Gemini, Google AI Overviews, Google AI Mode, Perplexity, Microsoft Copilot, Claude. Results are reported per platform, because the same question is answered differently on different platforms.
Is AEO worth it at low search volume?
Often yes, because these questions are asked shortly before a decision. A question with 30 searches a month asked in a buying situation is worth more commercially than a definition question with 3,000. For prioritisation, buying intent counts, not volume.
Is this GDPR-compliant?
Yes. Only publicly accessible AI answers to the prompts you define are collected. No personal data of end users is collected, and all data is processed in line with the GDPR. The provider is NX Digital GmbH, based in Munich, Germany.
Start free trial
See whether your content carries the answer
Add your questions, wait for the first measurement, look at the sources. Within minutes you see which answer is served and whose text carries it.
- 7 days free
- No credit card required
- All features included
- Cancel anytime
Talaal Max Habib · Founder & CEO, Alexandrya.AI
Questions? Write to me directly, I answer personally.
- BVDW
member - GDPR
compliant