- Is investing in AEO really worth it for your company?
- What's happening: why has AI search become urgent?
- Which AI platform matters most for visibility in Italy?
- Why does AI traffic convert better than organic traffic?
- Is AEO really different from classic SEO?
- Three concrete scenarios: what changes for an e-commerce, a professional firm, and a manufacturing company?
- Which concrete KPIs measure AI visibility?
- How do you get started with an AEO strategy?
- What are the most common mistakes when starting with AEO?
- How do you know if your AEO strategy is working?
- So, is an AEO strategy worth it for your company?
- How we see it at SHM
- Frequently Asked Questions
- AEO (Answer Engine Optimization) is optimization for AI engines like ChatGPT and Perplexity: different from classic SEO, it requires specific KPIs and content.
- In Italy, 35% of adults already use AI for purchasing decisions, but only 37% of marketing teams are actively optimizing for these channels.
- Optimizing for a single AI platform isn't enough: only 11% of domains are cited by both ChatGPT and Perplexity.
- Start with a citation audit, define 3-5 measurable KPIs and structure authoritative content: these are the three concrete steps to get going.
Traffic from ChatGPT converts almost 9 times better than Google organic traffic. Yet only 19.6% of Italian marketing teams know the term AEO — and even fewer are doing something about it.
Is investing in AEO really worth it for your company?
Yes, and sooner than you think: in Italy, more than one in three adults already uses AI to decide what to buy, and traffic from these channels converts at rates traditional SEO has never seen.
AEO — Answer Engine Optimization, meaning optimization for AI answer engines — is the process of making sure ChatGPT, Perplexity, Gemini and similar tools cite your company when a user asks a question relevant to your industry. It's not classic SEO: the rules are different, the KPIs are different, and the results come through channels many competitors are still ignoring.
| Your situation | Is AEO worth it? | why |
|---|---|---|
| You sell to B2B customers who research suppliers online | Yes | AI is already part of buyers' scouting process |
| You run an e-commerce store with medium-to-high complexity products | Yes | Users ask AI for advice before buying |
| You're a professional firm (legal, tax, consulting) | Yes | Informational questions are your natural entry point |
| You only run paid advertising with no content | No, for now | AEO requires authoritative content as a foundation |
| Your site has fewer than 20 pages of content | No, for now | First build your SEO foundation and content, then scale on AI |
What's happening: why has AI search become urgent?
AI platforms have almost doubled their global visits in a year, while Google is barely growing. Those who don't cover these channels today are losing ground to those who do.
Global visits to AI search platforms went from 15.6 billion in Q1 2025 to 27.4 billion in Q1 2026, a 42.8% year-over-year increase, according to Rise at Seven using Similarweb data. Over the same period, Google Search grew by just 2.4%.
In Italy, the change is even faster. According to the Osservatorio Search in Italy 2026, 35.34% of online adults use generative search tools for purchasing decisions as of March 2026, almost double the 19.6% of February 2025.
Another data point changes the picture: when Google shows an AI Overview (the generative answer box at the top of the results), the click-through rate on traditional organic results drops to 8%, versus 15% without an AI Overview. That's a 47% relative drop, according to a Pew Research Center study of almost 69,000 real searches, reported by Omnibound. Fewer organic clicks means traffic is shifting: either you're in the AI answer, or you don't exist.
Which AI platform matters most for visibility in Italy?
ChatGPT dominates with almost 70% of Italian AI referral traffic, but ignoring Gemini and Perplexity is a mistake: optimizing for one platform doesn't guarantee visibility on the others.
According to cancankiran.com using Similarweb/SE Ranking data, AI referral traffic in Italy is very unevenly distributed across platforms. ChatGPT is the main channel, but Gemini — Google's AI engine — is already in second place with a significant share.
The critical point is that AI platforms don't draw on the same sources. According to an analysis by Averi/Discovered Labs of 680 million AI citations, only 11% of domains are cited by both ChatGPT and Perplexity. This means an effective AEO strategy has to cover multiple platforms with distinct approaches. We dive deeper into this in our article on ChatGPT Ads, GEO and paid and earned visibility on AI.
Why does AI traffic convert better than organic traffic?
People who arrive from ChatGPT or Perplexity have already received a qualified answer and are looking for the right supplier: they're much further along in the buying process than someone who clicks a Google result.
A Seer Interactive case study on a B2B client (October 2024–April 2025), reported by Citeproof, measured conversion rates by AI channel. The result is clear-cut: traffic from ChatGPT converts at 15.9%, and traffic from Perplexity at 10.5%. Organic traffic from Google stalls at 1.76%.
The explanation is simple. When a user asks ChatGPT, "What's the best warehouse management software for a manufacturing SME?" and gets an answer that cites your company, they land on your site already convinced it's relevant. They aren't exploring yet. They're choosing.
Is AEO really different from classic SEO?
Yes, in a big way: 80% of the URLs cited by AI engines don't even appear in Google's top 100 for the same query. Being good at SEO doesn't automatically get you into AI answers.
According to Ahrefs, as reported by Brand Auditors, 80% of the URLs cited by AI platforms don't appear in Google's top 100 for the same query. This overturns a common assumption: doing SEO well isn't enough to be visible in AI. You need content structured differently, with an authority that AI models recognize as trustworthy.
The main difference is format. Google rewards relevance to a keyword. AI engines reward clear answers, well-structured information and the reputation of the source across its digital ecosystem. An article written to answer a specific question, with cited data and a logical structure, is far more likely to be cited by ChatGPT than a page optimized for ranking.
| Size | Classic SEO | AEO |
|---|---|---|
| Goal | Position in Google SERPs | Citation in AI answers |
| Content format | Keyword-optimized article | Structured answer to specific questions |
| Main KPI | Position, organic traffic | Mention rate, citation share |
| Authority measured by | Backlinks and domain authority | Cross-platform reputation, cited data |
| Updates needed | Periodic | Ongoing (models keep updating) |
| Measurement tools | Google Search Console, SEMrush | Dedicated AEO tools (e.g., Profound, Otterly) |
To see how this plays out in practice for content, our article on how to earn AI citations and measure visibility offers a useful playbook, with the specific metrics to track.
Three concrete scenarios: what changes for an e-commerce, a professional firm, and a manufacturing company?
AEO applies differently depending on your industry and the kinds of questions customers ask AI engines. Here are three illustrative cases to show where to act.
Illustrative examples: the numbers show the logic and are not real client data.
| Company type | Typical question to AI | AEO content to create | KPIs to measure |
|---|---|---|---|
| Furniture e-commerce | "What are the best modular sofas under €2,000?" | Comparison guides with technical specs, materials, warranties | Mention rate on ChatGPT, AI referral traffic, conversion rate from AI |
| Accounting firm | "How does the revaluation of company shares work in 2026?" | Structured FAQs, technical articles with up-to-date data and official sources | Citation share on Perplexity, contact requests from AI channels |
| B2B mechanical engineering company | "Who makes stainless steel components for the food industry in Italy?" | Product sheets with specs, certifications, use cases, process data | Citations on ChatGPT for industry queries, qualified leads from AI referrals |
For the professional firm, the logic is especially clear. AI engines are asked about tax, legal and accounting questions every day. Those who publish precise, up-to-date, well-structured content on these topics have a huge advantage over those who have never thought about AEO. The same goes for B2B manufacturers: buyers' sourcing questions are shifting more and more to AI, as the HubSpot guide on AEO for demand generation teams points out.
Which concrete KPIs measure AI visibility?
AI visibility is measured with different metrics than SEO: mention rate, citation share and AI referral traffic are the three key indicators to monitor from month one.
The most common problem is that companies don't know what to measure. According to On Marketing Survey data, only 37.2% of marketing teams are actively optimizing for AI search, and only 19.6% know the term AEO. If you start now, you have a real edge over competitors who are waiting.
| KPI | What it measures | Tool | Frequency |
|---|---|---|---|
| Mention rate | How many times your brand is cited in AI answers for relevant queries | Profound, Otterly, BrandMentions AI | Weekly |
| Citation share | Share of AI citations compared to your direct competitors | Dedicated AEO tools | Monthly |
| AI referral traffic | Site visits coming from ChatGPT, Perplexity, Gemini | Google Analytics 4 (referral segment) | Weekly |
| AI conversion rate | Conversions generated by AI referral traffic | Google Analytics 4 | Monthly |
| Citation sentiment | The tone AI uses to describe your brand (positive, neutral, negative) | Manual analysis + AEO tools | Monthly |
| Coverage of target queries | For how many of your priority queries AI cites you at least once | Manual tests + AEO tools | Monthly |
AI referral traffic is already measurable today in Google Analytics 4: just create a segment that filters sessions with the source "chatgpt.com", "perplexity.ai", "gemini.google.com" and similar. It's the fastest starting point for real data without extra tools. To dig into the specific metrics, our article on AI visibility as the new metric for SMEs offers a complete framework.
How do you get started with an AEO strategy?
Start with a citation audit to see where you stand today, then define your priority queries and structure your content to answer them with authority. Five steps, in order.
- 1 · Marketing manager or agencyAI citation auditManually test 20-30 relevant queries for your industry on ChatGPT, Perplexity and Gemini. Record whether and how your brand is cited. This is your starting point.
- 2 · Marketing managerMap your priority queriesIdentify the questions your customers ask AI engines during research and evaluation. Start from your site's FAQs and the questions you get by email or in sales conversations.
- 3 · Content team or agencyCreate structured content that answersEach priority query becomes a piece of content: article, FAQ, technical sheet. The format must answer directly, with cited data and a clear, logical structure. Don't write for Google: write to answer.
- 4 · PR team or agencyBuild authority across platformsAI engines cite sources they find trustworthy. Publish on third-party platforms, earn mentions in industry media, and keep your Wikipedia profile and authoritative directory listings up to date. Digital PR for AI is a channel in its own right.
- 5 · Marketing managerMeasure and iterate every monthTrack the 6 KPIs in the table above. Update your content whenever AI models change their answers. AEO isn't a one-off project: it's an ongoing process.
To learn how to build authority through the media, read our article on Digital PR and AI: how to get cited by ChatGPT and Perplexity. It covers the specific tactics for earning citations in AI engines.
What are the most common mistakes when starting with AEO?
The most common one is treating AEO as an extension of classic SEO: same content, same metrics, same logic. It doesn't work that way.
People who approach AEO with a traditional SEO mindset almost always make the same mistakes. Here they are, in order of frequency.
| Error | Why it is a problem | How to fix it |
|---|---|---|
| Optimizing only for ChatGPT | Only 11% of domains are cited by both ChatGPT and Perplexity | Cover at least ChatGPT, Perplexity and Gemini with distinct approaches |
| Using SEO KPIs to measure AEO | Ranking position and organic traffic don't capture AI visibility | Add mention rate, citation share and AI referral traffic |
| Expect results in 2-4 weeks | AI models update on their own schedule, not instantly | Plan for a 3-6 month horizon before expecting the first results |
| Creating generic, unstructured content | AI cites sources that answer directly and precisely | Structure every piece of content as an answer to a specific question |
| Ignoring your cross-platform reputation | AI models assess authority across multiple sources | Invest in Digital PR, mentions in industry media and authoritative directories |
| Not updating your content | Models change, and so do the citations | Review your priority content every quarter |
How do you know if your AEO strategy is working?
Three clear signals: AI referral traffic grows month over month, citations of your brand increase on priority queries, and the conversion rate from these channels beats organic.
Measuring AEO takes a mix of automated tools and manual checks. There's no Google Search Console for AI engines yet, but the data is already available if you know where to look.
| Indicator | Positive signal | Red flag |
|---|---|---|
| AI referral traffic (GA4) | Grows 10-20% month over month | Flat or declining after 3 months of activity |
| Mention rate on priority queries | Cited in at least 30% of target queries | Cited in fewer than 10% after 6 months |
| AI referral conversion rate | Higher than Google organic traffic | Lower than or equal to organic traffic |
| Citation sentiment | Accurate, positive description of the brand | Incorrect, incomplete or missing description |
| Competitor coverage | Cited more often than direct competitors | Competitors get cited and you don't |
| Qualified leads from AI | More inquiries mentioning AI as a discovery channel | No leads attributable to AI after 6 months |
For the bigger picture on how SEO and AI visibility are evolving together, our article on SEO in the AI era: metrics, budget and priorities offers a strategic framework to help you plan your 2027 budget.
So, is an AEO strategy worth it for your company?
It's worth it if you already have a content base, you operate in a industry where customers research before buying, and you want to own a channel your competitors are still ignoring.
Somewhere in between if you're still building your classic SEO presence: start structuring your content in an AEO format right away, so you work on both fronts at once.
Not yet if you have no content, no editorial strategy and no resources to sustain it over time. Build the foundations first, then scale into AI search.
How we see it at SHM
For us, AEO isn't a trend to chase: it's the logical consequence of a change in how people look for information and choose suppliers. We believe AI should be integrated to free companies from routine and give time back, not to replace strategic thinking. And a well-built AEO strategy is exactly that: a system that works continuously to build authority, not a one-off campaign.
We work with Italian SMEs and B2B companies to build SEO for AI strategies that start with a citation audit and end with ROI measurement. If you want to know where you stand today and what to do to improve your visibility on ChatGPT, Perplexity and Gemini, the place to start is our strategic AI integration service. If you also want to train your in-house team, we offer tailored AI training for companies.
Find all the articles in the SEO and AI visibility cluster, updated with the latest data on the Italian market.
Frequently Asked Questions
AI models update on their own schedule, not instantly like Google. You can usually expect the first meaningful citations after 3-6 months of consistent work. AI referral traffic in Google Analytics 4, however, is measurable from day one, even if initial volumes are low.
It works alongside it, at least for now. Classic SEO is still important for organic traffic on Google, which remains the dominant channel. AEO adds a second front: visibility in AI engine answers. The two strategies share a foundation of quality content, but they need different metrics and optimizations.
For AI referral traffic, Google Analytics 4 is enough: just create a segment with the sources of the main AI engines. For mention rate and citation share, there are dedicated tools such as Profound, Otterly and BrandMentions AI. Part of the measurement still requires manual testing: querying ChatGPT and Perplexity directly with your priority queries.
In Italy, ChatGPT dominates with almost 70% of AI referral traffic, but only 11% of domains are cited by both ChatGPT and Perplexity. That means the platforms draw on different sources. An effective strategy covers at least ChatGPT, Perplexity and Gemini, with content structured to answer authoritatively on all three.
It works especially well for B2B. Business buyers increasingly use AI engines to scout suppliers, and being cited in AI answers gives you a huge advantage during evaluation. Traffic coming from ChatGPT on B2B queries converts at much higher rates than traditional organic traffic.
The cost depends on where you're starting from. If you already have quality content, the main investment is the initial audit and restructuring your existing content. If you're starting from scratch, editorial production comes on top. Dedicated AEO measurement tools have variable monthly costs, but AI referral traffic can already be measured for free with Google Analytics 4.
The question isn't whether your customers use AI to find suppliers: they already do. The question is whether they find you or a competitor.
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