What marketers are actually asking about HubSpot AEO, AI brand visibility, ChatGPT, Gemini, Claude, content strategy, and measuring results in AI models.
There's no shortage of articles explaining what Answer Engine Optimization (AEO) is.
But what happens when you actually try to implement it?
How do you choose the right prompts in HubSpot AEO? Why does ChatGPT recommend your competitors instead of you? Do reviews matter? Should you optimize differently for Gemini and Claude? And how do you convince leadership to invest in something that's difficult to attribute directly to revenue?
These aren't hypothetical questions. They're questions marketers brought to our live HubSpot AEO Office Hours and our Braindate conversations at UNBOUND26.
At Nextiny Marketing, we host these events to help people work through the challenges they're experiencing—not just explain AEO in theory.
And the questions are often the most valuable part of the conversation.
That's why we've collected them here, along with the answers and practical examples we discussed.
You'll find questions from our recent sessions on:
We've also included questions from our UNBOUND discussions about AEO measurement, AI visibility, and sustainable marketing strategies.
Each answer is based on those live conversations. We've lightly edited some questions for clarity while preserving their meaning.
And because these answers originally happened in live events, you'll also be able to watch the corresponding video clips as we add them.
Looking for a specific answer? Jump directly to the questions marketers asked during our live HubSpot AEO Office Hours and UNBOUND events.
The best way to start with AEO is to audit your website's SEO foundations and current AI visibility before creating new content or investing in optimization tactics.
Asked during: How Do You Actually Measure AEO?
That means looking at two things: whether your website clearly communicates your expertise and how AI platforms currently describe your brand.
Start with traditional SEO foundations. Is your website fast? Is it technically accessible? Are your pages well structured? Are you clearly explaining what your company does and whom you help
Then look at how AI platforms currently describe your brand. Are you being mentioned when people ask about the problems you solve? Are you being cited? Are your competitors appearing instead?
Once you've established that baseline, you can decide what needs fixing and what content you should create.
At Nextiny, we recommend building a repeatable process for capturing real customer questions and turning them into useful content.
That's the foundation of our Human-to-Answer™ Framework.
Related article: In one of our AEO audits, we discovered that AI platforms were describing a company using information from a YouTube video from a webinar recorded more than 11 years earlier. That's why understanding what AI already knows about your brand is an important first step. Learn how to run an AEO audit and uncover the sources shaping your company's AI narrative.
The takeaway: Audit your website and AI visibility first. Fix foundational problems, then build a sustainable content strategy.
Watch Gabriel answer this question:
A practical AEO launch plan starts with auditing your website and brand visibility, setting up relevant prompts in HubSpot AEO, identifying content gaps, and implementing improvements over the first 30 days.
Asked during: How to Optimize Brand Visibility for Different LLMs
This question came from Igor, who wanted a practical starting plan rather than another explanation of what AEO means.
During the event, I recommended beginning with HubSpot AEO, reviewing the available tools, and using our AEO guide to understand the broader process.
Here's how I'd organize those recommendations into a simple starting plan:
Week 1: Establish your baseline. Review your website's SEO health, identify your most important products and services, and test how AI platforms currently describe your brand.
Week 2: Set up tracking. Configure relevant prompts in HubSpot AEO, review competitors, and record mentions, citations, and visibility trends.
Week 3: Identify the gaps. Look at the sources AI platforms use. Check whether your website answers the questions buyers ask and whether your brand information is accurate across channels.
Week 4: Start improving. Update important pages, correct outdated information, publish useful answers, and begin a repeatable multichannel content process.
Then continue measuring and refining.
AEO isn't something you complete in thirty days. The goal is to establish a process you can improve over time.
Related article: AEO requires more than setting up a tracking tool. Our 2026 HubSpot Playbook for AI Visibility, Authority, and Growth explains how to connect SEO foundations, brand authority, content strategy, and HubSpot into a broader plan for AI-driven discovery.
The takeaway: Your first month should create a baseline, reveal gaps, and establish a repeatable plan—not promise a specific AI ranking.
HubSpot AI Grader assesses how AI platforms describe a brand, while HubSpot AI Search Sensor helps marketers understand broader changes and volatility in AI search visibility
Asked during: How to Optimize Brand Visibility for Different LLMs
These tools answer different questions.
HubSpot's AI Grader provides a snapshot-style assessment of a brand or entity. It's useful for getting an initial understanding of how AI describes your business.
HubSpot's AI Search Sensor is designed to help marketers understand broader changes and volatility in AI search behavior.
During the event, I showed how AI visibility can shift because of model updates or changes in how AI systems generate and cite answers.
That's important because your brand's visibility might decline one week and recover the next—even when you haven't changed anything.
If you see a sudden change, don't immediately assume your content strategy failed.
Look at the broader environment, compare your results over time, and investigate what changed.
Related article: Nearly 60% of Google searches end without a click, according to SparkToro research cited in our HubSpot AEO tools guide. That makes understanding AI visibility and search behavior increasingly important alongside traditional traffic reporting. Explore the HubSpot AEO tools and how they fit into an AI search strategy.
The takeaway: Use snapshot assessments to understand your starting point, volatility data to provide context, and ongoing AEO tracking to evaluate trends.
Watch the AI Sensor vs. AI Grader explanation:
HubSpot Content Hub can support AEO by helping businesses create and manage useful content, while HubSpot's AEO tools help track AI visibility, citations, and opportunities for improvement.
Asked during: How to Optimize Brand Visibility for Different LLM
Yes. HubSpot Content Hub can support your AEO efforts, and HubSpot's AEO capabilities help marketers understand how their brands appear across supported AI platforms.
During Office Hours, we discussed using HubSpot AEO to track prompts, review citations, understand competitor visibility, and identify opportunities.
But the tool isn't the entire strategy.
You still need a technically sound website, useful content, accurate brand information, and evidence of your expertise across the places your customers research solutions.
The value of HubSpot is connecting those efforts to a broader marketing and CRM process.
Related article: At UNBOUND26, HubSpot emphasized that AI needs accurate business context to produce useful results. The announcements included CRM capabilities for capturing more customer interactions and tools for turning that context into marketing actions. Read why clean, connected CRM data matters for AEO and AI agents.
The takeaway: Use HubSpot AEO to understand what is happening. Use your content, website, and customer knowledge to improve it.
Watch Gabriel discuss Content Hub and AEO:
Related article: Structured data helps describe your website's content and the relationships between your brand, authors, articles, and videos. Our Schema Made Simple guide explains when to use Organization, Article, FAQPage, and VideoObject markup, with examples for different page types. Structured data supports machine understanding, but it does not guarantee AI citations or search rankings.
Most AEO strategies that improve brand clarity, content quality, technical accessibility, and third-party credibility can benefit visibility across ChatGPT and Claude, although each platform may use different sources and generate different answers.
Asked by Anne during: How to Optimize Brand Visibility for Different LLMs
Yes—most of the foundational work applies across models.
During our live Office Hours, Anne asked whether the strategies we were discussing for ChatGPT would also apply to Claude.
The answer is largely yes. You don't need to create a completely different content strategy for every AI platform.
The fundamentals remain consistent: publish useful answers based on real expertise, make your brand easy to understand, maintain accurate information, and build credibility across the channels where your audience researches solutions.
At Nextiny, we call this building AI consensus: reinforcing a consistent and accurate brand narrative across multiple sources.
The goal isn't to optimize for one model at the expense of another. It's to make your expertise easier to discover across the AI ecosystem.
Related article: Our AEO audits show why marketers shouldn't assume every AI platform evaluates a brand identically. We've observed differences in the sources ChatGPT, Gemini, and Perplexity reference, as well as how quickly brand visibility changes across platforms. See what we learned from testing hundreds of prompts and tracking brands across different AI models.
The takeaway: Build one strong AEO strategy across platforms rather than separate content strategies for ChatGPT, Claude, Gemini, and every other AI model.
Watch Anne's question about Claude:
ChatGPT and Claude do not retrieve and generate answers in exactly the same way, but clear, credible, and accessible content can support brand discovery across both platforms.
Asked by Hudson during: Why Isn't AI Recommending My Brand?
While Anne's earlier question focused on whether marketers need different AEO strategies, Hudson's question gets at something more specific: if your brand appears in ChatGPT, should you expect Claude to recommend it too?
Not necessarily.
Different AI platforms can use different sources, retrieval methods, and approaches to generating answers. That means they may describe your company differently or recommend different providers in response to similar questions.
For marketers, the practical next step is to test the same relevant buyer questions across multiple platforms.
Look at which brands appear, which sources are cited when citations are available, and whether the answers accurately reflect your company's expertise.
If your brand appears in ChatGPT but not Claude, investigate the differences before assuming you need an entirely new content strategy.
The takeaway: Use a consistent AEO strategy across platforms, but measure ChatGPT and Claude separately because visibility in one does not guarantee visibility in the other.
Watch Hudson's question about ChatGPT and Claude:
The most sustainable way to optimize for ChatGPT, Gemini, and Perplexity is to build one consistent, credible brand presence across your website and relevant third-party channels while measuring visibility separately on each platform.
Asked by Igor during: How to Optimize Brand Visibility for Different LLM
Igor was referring to ChatGPT, Gemini, and Perplexity.
During the session, I explained some differences we've observed in our AEO audits.
ChatGPT often reflects a broader set of sources and established brand information. Gemini is closely connected to Google's ecosystem. Perplexity frequently emphasizes source-backed answers and current information.
Those are patterns we've observed, not fixed rules about how the systems always work.
So how do you optimize for all three?
Don't create completely separate content for each.
Instead, focus on:
A webinar, for example, can become an article, YouTube videos, LinkedIn clips, and helpful contributions to relevant discussions.
That's not about manipulating different AI models. It's about making your real expertise easier to discover.
The takeaway: Build one consistent brand narrative through a sustainable multichannel strategy.
Local AEO is the practice of improving a business's visibility in AI-generated answers to location-specific questions about products, services, and providers.
Asked by Igor during: How to Optimize Brand Visibility for Different LLM
Local AEO is about improving the likelihood that your business appears in AI-generated answers when location matters to the question.
That might be someone looking for a local service provider, a business in a particular city, or a company that serves a specific region.
During Office Hours, we discussed businesses that serve customers nationally but also have valuable opportunities close to home.
Just because you operate across the United States doesn't mean you should ignore customers in your own market.
If you have a legitimate local presence, make that information clear on your website and relevant business profiles.
Explain the areas you serve, provide accurate business details, and create location-specific content where it genuinely helps your customers.
Related article: Local AEO builds on traditional local SEO by combining location-specific content, real customer questions, reviews, local citations, and AI visibility measurement. Our local AEO guide includes a five-part checklist for helping AI platforms better understand and recommend local businesses.
The takeaway: Local AEO isn't only for businesses that operate locally. It can also help national businesses become more relevant to buyers in specific markets.
Watch Igor's local AEO question:
AEO can help potential customers discover your business when they ask AI platforms questions about the problems you solve, the services you offer, or the providers they should consider.
Asked during: How to Optimize Brand Visibility for Different LLMs
One attendee explained that their company provides third-party logistics services, helping manufacturers get products into retailers and distributors.
This is a great example of why AEO isn't just about high-volume search keywords.
Your ideal customers may ask AI very specific questions about distribution challenges, retail logistics, or finding a provider with particular capabilities.
If your business clearly answers those questions and demonstrates relevant experience, you create opportunities to be discovered.
But there's another important piece.
A prospect might already know your company through a referral or a salesperson. They may still use AI to investigate whether you're credible, compare you with alternatives, or verify your capabilities.
So AEO supports both discovery and validation.
Related article: AI is changing more than how customers find businesses. Buyers can now use AI to research companies, compare alternatives, and validate their decisions before contacting sales. Explore how the shift from SEO to AEO is changing client acquisition.
The takeaway: Create content around the specific problems your ideal customers need to solve, and make sure AI platforms can find accurate information about your business.
Watch the logistics-provider question:
SaaS review sites can support AEO by providing independent customer feedback and third-party information that buyers—and potentially AI platforms—can use to evaluate a software company.
Asked by Jess during: Why Isn't AI Recommending My Brand
Reviews can be an important source of third-party validation.
Your website tells people what your company says it does.
A review from a real customer provides another perspective.
During the event, we discussed how reviews can reinforce—or contradict—the story you're telling through your own marketing.
If your website says your software solves a particular problem, but customers consistently describe a different experience, that disconnect matters.
The goal isn't to manufacture reviews or collect as many as possible without regard to quality.
It's to encourage genuine customer feedback on the platforms your buyers use.
For SaaS companies, that may include relevant software review sites, marketplaces, and industry-specific communities.
The takeaway: Reviews help buyers evaluate your business and may provide useful evidence for AI-generated answers. Focus on authentic, relevant feedback.
Watch Jess's question about SaaS review sites:
Businesses should incorporate and link to authentic customer reviews when those reviews provide relevant evidence that supports the specific topic, product, or service being discussed.
Asked by Sharon during: Why Isn't AI Recommending My Brand
You don't need to create a link between every review and every piece of content.
But you can use genuine reviews to strengthen useful content.
For example, if your company serves healthcare organizations, you could create an article explaining the challenges those customers face, the solutions you provide, and relevant examples from real customer experiences.
Including an appropriately attributed review—and linking to its original source when possible—can make that content more useful and credible.
During the session, I also emphasized that the reviews need to be real.
The purpose isn't to repeat testimonials everywhere. It's to connect customer evidence to the specific problems your business solves.
The takeaway: Use reviews where they add context and proof, not as decorative content or a shortcut to AI recommendations.
Watch Sharon's question about linking reviews:
SaaS companies can strengthen their AEO strategy by maintaining accurate marketplace listings, earning authentic reviews, and supporting those listings with useful product information and educational content on their own websites.
Asked during: How to Optimize Brand Visibility for Different LLM
Being listed in a marketplace can be part of your brand's online presence.
During the session, I used the example of software listed in the HubSpot marketplace.
A buyer might discover a product through that marketplace, then research the company separately before making a decision.
That means the marketplace listing is only one part of the journey.
You still need clear product information, useful documentation, educational content, customer reviews, and consistent messaging across your own website and other relevant channels.
And the reviews within the marketplace matter because they're part of how potential customers evaluate your product.
The takeaway: Treat your marketplace listing as one part of your broader brand narrative—not your entire AEO strategy.
Relevant B2B supplier portals can support AEO by making a manufacturer's products, capabilities, and business information discoverable through credible third-party sources.
Asked by Ruben during: How to Optimize Brand Visibility for Different LLMs
Relevant supplier portals can help establish your company's presence outside your own website.
But the quality and relevance of those listings matter more than the number.
During the event, Ruben followed up by explaining that his company had built a presence on two portals and wanted to know whether that was enough.
My answer was that AEO isn't a quantity game.
Ask where your customers actually look for suppliers. Are those portals important to their research? Are your company details accurate? Do the listings demonstrate the capabilities that make you a good fit?
Then look at other places buyers research your category, including industry publications, professional communities, and relevant social platforms.
Real example: Third-party visibility is only one part of building an AI-search presence. In our work with luxury homebuilder London Bay Homes, tracked AI Brand Visibility increased from 9.76% in the last two weeks of April to 20.07% in a later 30-day weekly view. The strategy involved evaluating brand visibility, competitors, and the sources AI platforms were citing. See how London Bay approached AI search visibility with HubSpot AEO.
The takeaway: Two strong, relevant supplier listings may be more useful than dozens of low-quality ones. Focus on where your customers actually make decisions.
Watch Ruben's supplier portal question and follow-up:
There is no ideal number of supplier portals for AEO; businesses should prioritize the directories their customers actually use rather than trying to appear on as many platforms as possible.
Asked by Ruben during: How to Optimize Brand Visibility for Different LLM
There's no universal number.
If you're listed on two important portals where your customers regularly research suppliers, that may be a meaningful start.
But listings alone aren't a complete AEO strategy.
During the event, I encouraged looking at the sources AI platforms already use when answering questions about your industry.
Are they citing supplier directories? YouTube? LinkedIn? Industry websites? Something unexpected?
That investigation can help you prioritize where to invest.
The takeaway: Don't count listings for the sake of counting. Evaluate their relevance, credibility, and role in your buyers' research.
Advertising on AI platforms should not be assumed to improve organic AI recommendations, because paid placements and unpaid AI-generated answers are separate visibility opportunities.
Asked during: How to Optimize Brand Visibility for Different LLMs
The attendee wanted to know whether advertising in AI environments could also improve organic AI visibility.
Paid placement and organic recommendations should be treated as separate things.
During Office Hours, I explained that running ads doesn't automatically make your website rank better in traditional search.
Similarly, buying an ad placement in an AI product shouldn't be assumed to improve the probability of being recommended in an organic AI-generated answer.
Advertising may become another valuable acquisition channel, and it's worth testing when appropriate.
But it isn't a substitute for building expertise, creating useful content, or earning trust.
The takeaway: Evaluate AI advertising as advertising. Don't assume it will improve organic AEO visibility.
Watch the question about AI ads and AEO:
Businesses still need traditional SEO because a technically accessible website, clear content structure, and accurate information provide important foundations for both search engine visibility and AI-driven discovery.
Asked during: How to Optimize Brand Visibility for Different LLMs
Yes. This question captured a frustration many experienced marketers are feeling.
Leadership hears about AEO and wants results. But the marketing team knows that the website may still have technical problems, weak content, or an unclear structure.
The temptation is to skip those foundational improvements and jump straight into whatever new AEO tactic is getting attention.
During the event, I explained that we're seeing two extremes.
Some leaders want to invest in AEO immediately, even if they don't fully understand it. Others are skeptical because they don't know how to measure the results.
Both situations require education.
The starting point is explaining that AEO doesn't replace SEO foundations.
A technically sound website, clear content, structured information, and a strong brand presence remain important.
Then connect those improvements to how customers now research and validate businesses using AI.
Related article: Publishing more content isn't the same as building more authority. In our article on the AI content trap, we discuss a 16-month Search Engine Land experiment in which AI-generated pages were indexed quickly but later lost search visibility without sufficient authority and differentiation. Learn why original expertise and strong SEO foundations matter more than simply scaling AI-generated content.
The takeaway: Don't position SEO fundamentals and AEO as competing investments. Explain how foundational work supports both.
Watch the stakeholder buy-in question:
AEO can provide a shared objective for SEO, content marketing, digital PR, and social media by encouraging teams to build a consistent, credible brand presence across the sources customers and AI platforms use.
Asked by Christopher during: How to Optimize Brand Visibility for Different LLMs
I think this is one of the most important strategic questions from all our events.
For years, marketers have talked about building authority through content, PR, social media, customer stories, and search.
But organizations often measure those efforts separately.
A webinar is judged by attendance. A blog is judged by traffic. A social post is judged by engagement.
AEO gives us another reason to look at how those activities work together.
During the session, I argued that a webinar can have value even if very few people attend live.
You can capture genuine expertise, turn the recording into an article, create video clips, answer customer questions, and continue distributing the content over time.
That doesn't mean every webinar will generate measurable revenue immediately.
It means the value of the activity is bigger than the attendance number on the day it happens.
And when these efforts reinforce a consistent, credible brand narrative, they support the broader goals of SEO, AEO, and business development.
Related article: In our analysis of three long-standing clients, tracked AI Brand Visibility was 71%, 26%, and 13%. The strongest-performing client combined consistent human expertise with strategic execution. Our Human-to-Answer™ Framework explains how to capture real expertise, structure answers, distribute content, and improve the process over time.
The takeaway: AEO strengthens the case for an integrated marketing strategy—but the real objective should still be helping customers and growing the business.
Watch Christopher's question about unifying marketing channels:
Businesses should prioritize the marketing channels where their ideal customers research solutions, ask questions, and make decisions rather than distributing content equally across every platform.
Asked by David during: Why Isn't AI Recommending My Brand?
Absolutely. You shouldn't invest equally in every platform.
Put the most effort into the channels where your ideal customers actually spend time and ask questions.
During the event, I explained why YouTube is often a valuable component of a multichannel strategy: video helps demonstrate real expertise, supports search visibility, and can become a source used in AI-generated answers.
But that doesn't mean every business should distribute content in exactly the same way.
A B2B company might find its audience on LinkedIn and in specialized industry communities. A consumer business may have different priorities.
Reddit can also be useful when relevant conversations are happening there.
The important part is participating genuinely rather than posting promotional content everywhere.
The takeaway: Build around your audience first. Use additional channels where they provide real value or relevant opportunities for discovery.
Related article: A single webinar or podcast can become much more than a one-time event. By turning real conversations into articles, videos, and other educational content, businesses can extend the value of their expertise across channels. Learn how to use video, webinars, and podcasts as the foundation of an SEO and AEO content engine.
Watch David's multichannel strategy question:
The most valuable customer questions for AEO content are those that address important buyer problems, align with your company's expertise, and repeatedly appear in sales, support, and customer conversations.
Asked during: How Do You Actually Measure AEO?
This question goes directly to the heart of our Human-to-Answer™ Framework.
The best starting point is the questions people are already asking you.
Your sales team hears objections and buying questions. Your customer service team hears problems and frustrations. Your CRM contains conversations that reveal what matters to your customers.
And your webinars and live events provide another valuable source.
Look for recurring questions, important customer problems, and topics where your company has specific experience.
Then turn those conversations into useful content.
That might mean writing a detailed article, recording a short answer, creating a tutorial, or adding a relevant FAQ to a service page.
The goal isn't to produce the most content.
It's to produce answers that matter.
Real example: Over seven months, Nextiny turned webinars, customer conversations, CRM insights, and social discussions into an ongoing content program. During that period, we reported 32.95% year-over-year organic traffic growth, 160% growth in organic contacts, more than 250 leads, and over $250,000 in webinar-driven and AEO-related client revenue. Read how we turned real human conversations into a measurable HubSpot AEO content engine.
The takeaway: Let real customer conversations guide your content calendar.
Publishing videos consistently does not guarantee AI citations; the content must be relevant to the questions being asked, accessible to the platforms, and aligned with the expertise the business wants to be known for.
Asked during: How Do You Actually Measure AEO?
This attendee had produced a substantial amount of video content for a speaker, along with multiple clips and social posts.
The content was generating engagement, but it wasn't appearing in the AI citations they were monitoring.
During our discussion, we explored whether the tracked prompts reflected the speaker's actual specialty and the questions potential buyers would ask.
For example, an event planner looking for a speaker on employee engagement or leading through uncertainty may ask a very different question from someone searching for the best keynote speakers in general.
Those differences matter.
If your content focuses on one topic while your AEO tracking measures another, you may be evaluating the wrong opportunity.
Before producing another twenty videos, review the relationship between your expertise, your audience's questions, and the prompts you're tracking.
Real example: In one of our HubSpot AEO tests, updating an existing article helped increase tracked AI Brand Visibility from near zero to more than 35% within days. The lesson wasn't simply to publish more. It was to improve the clarity, relevance, and structure of content that already existed. See how we increased AI visibility using HubSpot AEO and the Human-to-Answer™ Framework.
The takeaway: More content isn't always the answer. Better alignment between your expertise, content, and buyer questions may be more valuable.
AEO visibility data can provide useful directional insights when prompts are tested consistently over time, but probabilistic AI responses mean that visibility scores are estimates rather than guaranteed rankings.
Asked during: How Do You Actually Measure AEO?
AI visibility is probabilistic. If you ask an AI platform the same question repeatedly, you may get different answers. That means a visibility score is not the same thing as a fixed Google ranking.
During Office Hours, I explained that repeated testing can help you establish a baseline.
If your brand appears in 30 out of 100 tests under consistent conditions, that's a 30% observed appearance rate in that sample.
It doesn't mean every real user has exactly a 30% chance of seeing your brand.
But it gives you something to compare over time.
If your results improve, investigate why. If they decline, look for possible changes in the model, your prompts, your content, or the competitive environment.
Related article: AEO measurement needs to go beyond rankings and visibility scores. In one HubSpot reporting example, organic search generated 4,000 visits, 42 leads, and one customer, while AI referrals generated just 90 visits, two leads, and also one customer during the same period. Explore how to connect AI visibility, citations, traffic, leads, and revenue in HubSpot.
The takeaway: Use AI visibility scores to evaluate trends, not as guarantees of what every customer will see.
Watch the question about probabilistic AEO measurement:
Businesses can better understand AI's influence on customer decisions by combining website and CRM analytics with direct questions about how buyers researched, compared, and discovered potential providers.
Asked by Sharon during: Why Isn't AI Recommending My Brand?
This is an excellent attribution question.
Not every buyer knows which technology influenced their research.
Someone might use Google and read an AI Overview without thinking of it as an AI interaction.
Another person might ask an AI assistant to compare providers, then visit a company's website days later.
So asking "Did you come from ChatGPT?" won't always tell the full story.
During the event, I recommended asking customers about their research process rather than relying only on a single source question.
For example:
"How did you first hear about us?"
"What sources did you use to compare your options?"
"Did you use an AI assistant or an AI-generated search answer during your research?"
Those questions can help you understand influence that your analytics can't directly attribute.
You won't get perfect answers from everyone, and that's okay.
The takeaway: Combine analytics with customer conversations to understand how AI fits into the buying journey.
Google Analytics and HubSpot can report different traffic and lead numbers because they use different tracking methods, session definitions, contact identification rules, and attribution models. But leads coming into HubSpot are real people giving you their information.
Asked during: How Do You Actually Measure AEO?
Different reporting platforms can show different numbers.
Before deciding which one is correct, make sure you're comparing the same thing.
Google Analytics and HubSpot can differ in how they define sessions, identify contacts, attribute conversions, and process tracking information.
During our measurement discussion, we emphasized the importance of understanding what each number represents.
If one report shows more leads than another, investigate the definitions and attribution rules.
And don't stop at traffic.
Look at qualified leads, opportunities, customers, and revenue.
The takeaway: Don't compare analytics numbers without understanding their definitions. Focus on the business outcomes behind the reports.
After hosting these Office Hours and talking with marketers at UNBOUND26, one thing has become clear.
People aren't struggling because they haven't heard of AEO. They're struggling because they need to make it work in real businesses, with existing websites, limited resources, multiple tools, changing AI platforms, and leadership teams asking for results.
And that's why we believe the future of AEO content should start with real conversations.
At Nextiny, we use our Human-to-Answer™ Framework to turn those conversations into a sustainable content strategy.
We capture real questions and real expertise through webinars, sales conversations, customer meetings, and other interactions.
We turn those into useful written answers, videos, and educational content.
Then we distribute that content across the channels where our audience is active, measure what happens, and use what we learn to improve the next round.
This article is one example of that process.
Every question came from a real person trying to solve a real problem.
And each answer is an opportunity to help the next marketer facing the same challenge.
Join our next AEO Office Hours.
Bring your questions about HubSpot AEO, ChatGPT, Gemini, Claude, AI visibility, measurement, or your content strategy.
We'll discuss what you're experiencing, share what we've learned from our work with clients, and explore practical next steps.
And your question might become the next answer we add to this article.
Editor's note: This article draws from live AEO Office Hours and UNBOUND discussions. Questions are quoted or lightly edited from event transcripts. Some related discussion has been condensed for readability. Video clips will be added alongside the corresponding answers.