DEV Community: Gregory Pellitteri

What ChatGPT Actually Says About Your Brand (And Why You Should Care)

Gregory Pellitteri — Wed, 27 May 2026 11:12:25 +0000

What ChatGPT Actually Says About Your Brand (And Why You Should Care)

Someone just asked ChatGPT about your industry. ChatGPT gave an answer. Your brand was nowhere in it. This happens thousands of times a day, and most brands have no idea.

The shift from Google to AI is real. Not speculative. Not coming. Happening now. Users are asking ChatGPT, Claude, and Gemini instead of typing search queries. When they do, they get citations. Those citations drive traffic. They also build credibility. Your competitor's name appears in AI answers. Yours doesn't. That's a problem.

Most brands have zero visibility into this. They track Google rankings obsessively. They monitor search console daily. They ignore AI entirely. This is a mistake.

Here's what's actually happening: AI models train on internet data. They learn which sources are authoritative. When someone asks a question, the AI pulls answers from those sources and cites them. If your brand isn't in the training data, it doesn't get cited. If you're not getting cited, you don't exist in AI answers. You're invisible.

The scary part is how quiet this invisibility is. Google tells you when you rank. Search console shows impressions. You get data. AI answers don't. You have no dashboard. No visibility. No alerts. You could be losing traffic without knowing it.

So how do you find out what ChatGPT thinks of your brand? You have to ask it directly. Not metaphorically. Literally ask ChatGPT questions about your industry and look for your name in the answers. Ask it to recommend solutions in your space. Ask it to compare competitors. Ask it to name experts. See what it says.

What you'll find is revealing. Most brands get zero mentions. Some get buried mentions. A few get consistent citations. The difference isn't accident. It's visibility. It's authority. It's the content that made it into the training data and impressed the model enough to reference it.

This is AEO. AI Engine Optimization. It's not SEO's replacement. It's the next layer. You need both. But most brands haven't even started thinking about AEO. They're still grinding on Google while AI reshapes how people find answers.

The manual check is a start. Ask ChatGPT directly. See if your brand shows up. See what it says about you. See who it recommends instead. But this is just a snapshot. It's one moment. One model. One prompt. You need systematic visibility into how AI sees your brand across platforms and over time.

GEO and AEO are converging. Google is adding AI answers to search results. Traditional search rankings and AI citations are becoming the same game. If you don't show up in AI answers, you won't show up in the future of Google either. You're losing twice.

The brands winning this transition aren't waiting. They're building content that AI models recognize as authoritative. They're getting cited consistently. They're appearing in answers across multiple platforms. They're visible where their customers are actually looking.

Start by asking ChatGPT about your industry directly. Write down what it says. Notice what's missing. That gap is opportunity. That's where your AEO strategy needs to go. But don't stop at manual checks. You need a tool that shows you exactly where you stand across AI models, which sources you're competing against, and what's keeping you from getting cited.

Check your AI visibility right now. Engagemii's free AEO score at engagemii.com/aeo shows you exactly what ChatGPT and other AI models know about your brand. See your AI citations. See your competitors' citations. See the gap. Then close it.

Originally published on Engagemii

Your Knowledge Base Is Invisible to AI. Here's How to Fix It

Gregory Pellitteri — Mon, 25 May 2026 12:58:26 +0000

Your Knowledge Base Is Invisible to AI. Here's How to Fix It

ChatGPT doesn't browse your website like Google does. Claude reads differently. Gemini indexes differently still. Most brands treat their knowledge base like a filing cabinet for humans. Then they wonder why AI models never mention them.

The shift from SEO to AEO means rethinking what you publish and how. Your knowledge base needs to be findable, citable, and trustworthy to language models. This isn't about keywords anymore. It's about structure, authority, and clarity.

Start by auditing what you have. Most brands discover their knowledge base is a graveyard of outdated content, orphaned pages, and conflicting information. AI models won't cite contradictions. They'll cite something else instead.

Clean up before you build. Remove duplicate content. Fix broken internal links. Consolidate pages that say similar things. AI models struggle with redundancy. They need signal, not noise.

Structure matters more now than ever. Use schema markup to tell AI systems what your content is about. Add author information. Include publication dates and last update timestamps. Use clear headings that match how people ask questions. A page titled 'Pricing Tiers' won't show up when someone asks Claude about your pricing options.

Write for the model, not the algorithm. Long-tail keywords don't mean anything to AI. Clarity does. Specificity does. If your page answers the question in the first paragraph, the model will find it faster. Bury your answer in paragraph five and you're invisible.

Your knowledge base should answer the questions your customers actually ask. Not the questions you think they should ask. Document edge cases. Explain exceptions. Show different perspectives. AI models cite sources that feel complete and authoritative.

Make it easy for models to attribute. Include author bios. Link back to your main website. Use consistent branding and company information across all pages. When a model cites your knowledge base, that citation should point back to you.

Update constantly. AI models train on recent information. A knowledge base that hasn't been touched in six months looks stale. Models prefer fresh sources. Set a schedule to review and refresh your content. Even small updates signal that you're maintaining these resources.

GEO is becoming AEO. Your visibility in Google answers feeds into your visibility in AI answers. The brands winning at AEO right now are the ones who invested in knowledge bases that work for both humans and models.

Your knowledge base is the flywheel for AI visibility. It's where citations originate. It's where your authority compounds. Most brands haven't even started building one. That's your advantage.

Check your AI visibility score right now. Go to engagemii.com/aeo and get your free AEO assessment. You'll see exactly where your brand shows up in AI answers and what you need to fix. Most brands are shocked by what they find. You might be too.

Originally published on Engagemii

Your Brand Isn't in Google AI Overviews. Here's Why.

Gregory Pellitteri — Fri, 22 May 2026 12:15:11 +0000

Your Brand Isn't in Google AI Overviews. Here's Why.

Google AI Overviews started rolling out in May 2024. By now, if you search anything remotely commercial on Google, you're seeing AI-generated summaries at the top of the results. These aren't snippets anymore. They're answer boxes powered by Google's Gemini model. And your brand probably isn't in them.

This matters because AI Overviews are real estate. They sit above organic results. They aggregate information from multiple sources and synthesize it into a single answer. Users see those source citations. Your competitors' links show up there. Yours don't. That's a visibility problem.

The reason most brands miss Google AI Overviews comes down to how Google's model works. It doesn't just pull from ranking one. It reads dozens of pages and picks the clearest, most authoritative answers. If your content exists but isn't structured the way Google's AI expects, you lose the citation.

Getting into AI Overviews requires thinking about AEO—AI Engine Optimization. It's different from SEO. You're not just ranking a page. You're making sure your answer is the one the AI chooses to pull from.

Start with structured data. Google's AI reads schema markup like FAQ, HowTo, and Product schema. If you have claims about your product or service, mark them up properly. The AI uses this signal to understand what your page actually says. Unmarked content looks vague in comparison.

Write answer-first. Your opening paragraph should directly answer the question someone is asking. Don't bury the answer five paragraphs down. If the query is "what is dynamic pricing," start by defining it clearly. Google's model scans for direct answers. It finds them. It cites them.

Get specificity in your claims. "Our software is fast" doesn't work. "Our API returns results in under 200ms" does. Numbers, benchmarks, and measurable claims are harder for AI to ignore. They also make your content more useful in an overview.

The depth of your expertise matters more now. If Google's AI has to choose between a quick blog post and a comprehensive guide, it picks the guide. Depth signals authority. Write content that shows you've actually thought through the question.

Build AI citations into your strategy. This is GEO—Google Engine Optimization—but for the new search layer. You're optimizing for both rankings and AI visibility. Some brands will rank first but not appear in overviews. Others will appear in overviews without ranking. You want both.

Audit your highest-value queries. Which searches drive traffic? Which ones show AI Overviews? If you're not in the overview for a query you rank for, there's a gap. That gap is often fixable with better structure or clearer answers.

Links still matter, but differently. Google's AI weighs domain authority and citation context. A link from a trusted source matters more than volume. If you're building backlinks, focus on relevance and source credibility rather than quantity.

Your competitors are already moving. If you're in a competitive space, brands are starting to optimize for AI citations. The ones who do this early get the advantage. By next year, not being in AI Overviews will feel like not ranking on Google at all.

The mechanics are solvable. You don't need to reinvent your content strategy. You need to audit it through an AI lens. Check where you should be showing up in overviews. Find the gaps. Fix the structure and clarity. Watch citations appear.

Start by checking your AI visibility. Run your site through Engagemii's free AEO score at engagemii.com/aeo. You'll see which queries should have your brand in AI Overviews and which ones are missing you. From there, the path is clear.

Originally published on Engagemii

The Company Description That Actually Shows Up in AI

Gregory Pellitteri — Wed, 20 May 2026 12:18:02 +0000

The Company Description That Actually Shows Up in AI

Your company description is broken. Not because it's badly written. It's broken because it was written for humans, not for the systems that now answer questions about your business.

When someone asks ChatGPT or Claude what your company does, the AI pulls from somewhere. Maybe your website. Maybe your LinkedIn. Maybe an old press release. The problem is most descriptions are optimized for first impressions, not for extraction. They're designed to impress. They're not designed to be cited.

AI engines parse information differently than humans do. They're looking for specificity, not poetry. They need to understand what problem you solve before they can answer a question about you.

Start by killing the positioning. Your company description doesn't need to be clever. It needs to be clear. "We help teams collaborate better" loses to "We provide project management software that helps distributed teams track tasks and deadlines." The second one tells the AI exactly what to cite when someone asks about your product category.

Next, lead with what you do, not who you are. Most descriptions bury the actual product three sentences in. Put the product first. Then add context. An AI scanning your description will grab the first accurate statement it finds and use it in an answer. Make that statement useful.

Include the problems you solve. Name them directly. "We solve cold email deliverability" is better than "We improve email performance." When an AI needs to answer a question about cold email tools, it looks for mentions of deliverability, response rates, and automation. If your description says you solve those things, you get cited.

Most brands fail at this part: they avoid specificity because it feels limiting. But AI visibility requires exactly the opposite. The more specific your description, the more likely you appear when someone asks about that specific thing.

Use your actual keywords. Not stuffed in awkwardly. But if you're a sales intelligence platform, say "sales intelligence platform." If you help companies with customer retention, mention customer retention and churn. AI models are trained on language patterns. They recognize these terms. They associate them with your company. When GEO and AEO tools scan your business description, they're looking for these exact words to build relevance signals.

Be specific about who you serve. "For B2B companies" beats "For businesses." "For GTM teams at Series A startups" beats "For growth teams." This specificity helps AI engines route your company to the right answers. It also prevents mismatches where your description gets cited for use cases you don't actually serve well.

Avoid marketing adjectives. "Innovative," "cutting-edge," "powerful," and "intelligent" add nothing. They signal that you're trying to impress, not inform. AI engines mostly ignore them. They're looking for nouns and verbs. What do you build? What does it do? Write that.

Length matters less than you think. A tight 2-3 sentence description wins over a 200-word paragraph. AI systems extract information more cleanly from concise writing. They know what you do faster. They can serve that information to answers faster. Short descriptions also rank higher in AI citations because they're easier to quote directly.

Test your description against these questions. If someone searched "tools that do X" would your description appear? If an AI needed to answer "what problem does Y solve," would your description get pulled? If the answer to both is yes, you're in the right direction.

Your company description is now part of your AEO strategy. It's infrastructure. It's how you show up when AI systems answer questions about what you do. Write it like you're explaining your business to a very literal engineer. Skip the sell. Focus on accuracy and clarity.

Check your AI visibility baseline at engagemii.com/aeo. The free AEO score shows you where your company description stands right now and what's holding you back from appearing in AI answers. It's the fastest way to see if you're being cited or ignored.

Originally published on Engagemii

How to check if ChatGPT knows your brand exists

Gregory Pellitteri — Wed, 06 May 2026 00:12:25 +0000

How to check if ChatGPT knows your brand exists

Open ChatGPT. Ask it a question about your industry. See if your brand shows up in the answer. Most don't. This isn't a marketing problem. It's an AI visibility problem. And it's becoming your customer acquisition problem.

AI is now where people ask questions first. ChatGPT has 200 million weekly users. Google is slowly losing its grip as the first stop for information. Brands that don't exist in AI answers don't exist to the people asking those questions. The stakes are simple: if ChatGPT doesn't know you, your customers won't either.

But here's what makes this different from traditional SEO: you can't just optimize for keywords. You need AI citations. You need your brand to be referenced in the training data. You need to show up as a credible source in the model's understanding of your industry. This is AEO. And it requires a different playbook.

Start with the obvious test. Pick five questions your customers actually ask. Search them in ChatGPT. Look for your brand name. Look for your competitors. Note what's missing. Repeat this five times with different queries. You'll start seeing patterns. Your brand might dominate in one area and completely vanish in another.

Try the comparison prompt. Ask ChatGPT to compare your brand with your top three competitors. Watch what it says. Does it mention you at all? Does it confuse you with someone else? Does it lean heavily on one competitor over others? The AI's answer reveals how well your brand is represented in its training data. That gap is your AEO problem.

Ask it what your brand is known for. Not what you claim to be known for. What does ChatGPT think? Is it accurate? Outdated? Vague? This test shows you how your brand's reputation lives inside the AI model. It's not always what you'd hope for.

You can also test specific product or service questions. If you sell SaaS analytics tools, ask ChatGPT to recommend analytics platforms. If you're a B2B consulting firm, ask it which firms are known for digital transformation. Get granular. The more specific the query, the clearer your AI visibility gap becomes.

Run these tests across all three major AI models. ChatGPT. Claude. Gemini. Your brand might be visible in one and invisible in another. GEO, or AI search optimization, isn't about one platform. It's about omnipresence across the AI ecosystem. You need citations everywhere.

Why does this matter beyond vanity? Because citations in AI answers drive traffic. They build credibility. They influence customer decisions before those customers ever reach Google. A mention in ChatGPT's answer carries weight. People trust what AI recommends. If you're not in those recommendations, you're losing deals to competitors who are.

The test itself takes thirty minutes. The hard part is admitting what the results mean. Most brands discover they're either invisible or misrepresented. Some find they're only known for old products they've stopped selling. Others see their competitors dominating conversations they should be leading. Denial is common. Action is rare.

The real issue is that you can't control what AI knows about you the same way you control your website. You can't just add keywords and hope. You need to earn citations through content, research, media coverage, and brand authority. You need to be so present in your industry that omitting you from an answer would make the AI look uninformed. That's the standard. Most brands aren't close.

Once you've run these tests and understood your baseline, you need to know your actual AEO score. How visible is your brand across all AI models? How often are you cited? How accurate are those citations? This isn't something you can measure with traditional SEO tools. You need an AEO score that shows you exactly where you stand. That's where you move from diagnosis to strategy. Engagemii's free AEO score at engagemii.com/aeo gives you that baseline. Run the test yourself first. Then check your real score. The gap between what you guessed and what's actually true is where your competitive advantage lives.

Originally published on Engagemii

AEO vs SEO: They're Not the Same Game Anymore

Gregory Pellitteri — Wed, 06 May 2026 00:06:54 +0000

AEO vs SEO: They're Not the Same Game Anymore

SEO is a solved problem for most brands. You optimize for keywords, build backlinks, and Google ranks you. The playbook is old. It works. But it's not enough anymore because the way people search has fundamentally shifted. Half your audience now asks ChatGPT instead of Googling. That's not a trend. That's the market.

AEO stands for Answer Engine Optimization. It's the practice of getting your brand cited and referenced in AI-generated answers across ChatGPT, Gemini, Claude, and other large language models. SEO targets algorithms. AEO targets models trained on your content.

The difference matters because Google doesn't control search anymore. Not really. Google still controls clicks, sure. But when someone asks Claude a question about your industry, Google has zero influence over whether your company gets mentioned. The AI model decides based on what's in its training data and what your content signals as authoritative.

SEO requires backlinks, domain authority, and keyword density. AEO requires something different. It requires clear, authoritative positioning on topics your customers care about. It requires structured data that signals your expertise. It requires being quoted by other reputable sources. It requires having a distinct point of view that AI models recognize and want to cite.

Here's the brutal part. A brand can rank number one on Google for a keyword and still never appear in an AI answer about that same topic. Search rankings and AI citations are decoupled now. One doesn't guarantee the other.

Think about how an AI model works. It doesn't crawl links like Google does. It was trained on a snapshot of the internet from a specific date. It references what it deems authoritative based on patterns in that training data. Your SEO metrics don't transfer over. Your PageRank doesn't matter. What matters is whether your content was in that training data and whether the model's instructions tell it to cite you.

SEO strategy assumes Google will always be the gatekeeper. AEO strategy assumes the internet has multiple gatekeepers now and they operate by different rules. Most brands are still optimizing for one gate.

So what does AEO actually look like in practice? You need to appear on authoritative sites that mention your company or industry. You need clear, factual content that AI models can cite without legal risk. You need to own your expertise in a way that's unambiguous. You need to make it easy for an AI to know who you are and what you do.

Structured data is your friend here. Schema markup tells AI models exactly what you do, what you've written about, and what credentials you have. Most brands ignore this. They optimize for Google's rich snippets and never think about what Claude sees when it reads their site.

The weird part is that SEO and AEO aren't in conflict. You don't have to pick one. You should do both. But they require different tactics and different thinking. SEO still drives direct traffic and brand awareness at scale. AEO drives trust and citations at the moment when a potential customer is asking an AI for advice.

A brand that does both wins. They show up when someone searches Google. They also get mentioned when someone asks their AI assistant. A brand that only does SEO is leaving citations on the table. Those citations become visibility. Visibility becomes trust. Trust converts.

The timeline here matters too. SEO has a six to nine month payoff window for most brands. AEO is faster. If you have authoritative content and clean structured data, you can start appearing in AI answers within weeks. The models don't need to crawl you. They've already seen your content.

By 2026 this won't be a novelty question anymore. Brands will expect to appear in AI answers the way they expect to appear in Google search results today. The ones who moved early will own those AI citations. The ones who wait will be fighting for mentions alongside every other brand in their space.

Want to know if your brand is visible in AI answers right now? Check your AEO score at engagemii.com/aeo. It's free. You'll see exactly which AI models cite you, where you're missing visibility, and what to fix first. Stop guessing whether your AEO strategy is working. Measure it.

Originally published on Engagemii

E-E-A-T Signals for AEO: How to Show AI You're Actually an Authority

Gregory Pellitteri — Tue, 05 May 2026 23:59:56 +0000

E-E-A-T Signals for AEO: How to Show AI You're Actually an Authority

Google invented E-E-A-T to explain why some websites rank and others don't. Experience, Expertise, Authoritativeness, Trustworthiness. It made sense for search because Google could measure topical authority through backlinks and content patterns. AI visibility operates on different rules entirely. ChatGPT and Claude don't care about your domain authority score. They care whether you've actually demonstrated expertise to their training data.

Most brands treat AEO like SEO with a different algorithm. They're wrong. The signals that make you visible in AI answers aren't about optimization. They're about provable credibility. When Claude cites you in a response about software development, it's because your content showed genuine technical depth. When Gemini recommends your product for a specific use case, it's because you've staked a clear position backed by specifics.

Start with Experience. This is where most brands fail immediately. Experience means you've actually done the thing you're writing about. A blog post about B2B sales tools means nothing if it's written by someone who's never run a quota. A guide about raising capital carries weight only if the author has closed funding rounds. AI systems pick up on this through author credentials, company backgrounds, and how claims are substantiated. If your byline lists someone's real expertise, that matters. If it's anonymous, you've already lost credibility.

Expertise comes next and requires specificity. Generic advice gets ignored. Detailed, narrowly scoped expertise gets cited. Write about the exact problem you've solved for the exact audience you've solved it for. Avoid broad strokes. Instead of 'how to improve team productivity,' write about 'how we reduced context-switching for distributed engineering teams using async-first workflows.' The second version broadcasts expertise. The first broadcasts nothing.

Authoritativeness in AEO means being recognized by other credible sources. This isn't just backlinks anymore. It's mentions, citations, and associations with other authoritative voices. Speak on stages. Contribute to industry publications. Get quoted by journalists. Build a presence on platforms where your peers actually hang out. When your name appears consistently in credible contexts, AI systems learn to weight your opinions more heavily. Your GEO improves because the model understands you as a reference point in your field.

Trustworthiness is the hardest signal to fake and the easiest to destroy. It lives in details. Share your methodology openly. Cite your sources. When you make a claim, show your work. If you're recommending something you have a financial stake in, disclose it upfront. Admit what you don't know. Correct mistakes publicly. AI systems reward transparency and punish hidden incentives. A single astroturf review or undisclosed sponsorship can tank your credibility across an entire category.

The AI visibility gap widens because brands are still thinking in SEO terms. They're chasing keywords and optimizing metadata while ignoring the foundational work. Real authority takes time to build. You can't shortcut it. You have to do the work, document it, and let that documentation exist in public spaces where AI systems can learn from it.

The brands winning at AI citations right now aren't the ones with the biggest marketing budgets. They're the ones with the clearest expertise and the most transparent track records. They've built something real. They've shared exactly how they built it. They've answered the hard questions. That's what moves your AI visibility needle.

Check your AEO readiness with our free AI visibility score at engagemii.com/aeo. We'll show you where your E-E-A-T signals are strongest and where you're losing ground to competitors. Your GEO depends on how well you're positioned in this new layer of search. Find out where you actually stand.

Originally published on Engagemii

Structured Data for AI: How JSON-LD Gets You Into AI Answers

Gregory Pellitteri — Tue, 05 May 2026 23:55:54 +0000

Structured Data for AI: How JSON-LD Gets You Into AI Answers

ChatGPT doesn't browse the web like Google does. It was trained on a snapshot of the internet that ended months ago. When users ask it questions, it pulls from training data, not live websites. But there's a newer breed of AI tools that do reach out to the web in real-time. Gemini, Claude, Perplexity, and others actively fetch information to answer questions. The question isn't whether AI can find your website. The question is whether AI understands what your website actually says.

Most brands write for humans. They put important information in paragraphs, behind navigation menus, or buried in blog posts. AI models struggle with that. They need data structured in a way their training process can parse and understand. That's where JSON-LD comes in. JSON-LD is a format that wraps your content in machine-readable tags. It tells AI models exactly what something is. A person. A product. An article. A business. The difference between showing up in AI answers and being invisible often comes down to whether your structured data is there.

JSON-LD stands for JSON for Linking Data. It's a W3C standard that's been around for years. Google uses it for search results. Schema.org maintains the vocabulary that powers it. When you add JSON-LD to your website, you're essentially annotating your content with metadata. You're saying: this price is the actual price. This review is from this person on this date. This business is located here. AI models that crawl your site can extract that structured data and use it to answer user questions more accurately.

Here's the practical reality. A blog post about your product might rank well in Google. But when someone asks Claude "what's the best X for Y", Claude might not even find your post because it doesn't have the structure Claude needs to understand it. Add JSON-LD schema for your product, your reviews, your pricing, and your availability. Now Claude can extract that information and cite it. Your AI visibility increases. You get credited in AI answers. That's AEO in action.

The most effective JSON-LD for AI citations is specific. Generic tags don't help. If you're a SaaS company, use the SoftwareApplication schema. Include your pricing, ratings, and features. If you're a service business, use LocalBusiness or Service schema. If you're publishing content, use Article schema with author, publish date, and article body. The more complete and accurate your structured data, the more likely AI models will pull from it when answering questions.

Brands often ask whether Google's search algorithm is the same as AI models' ranking logic. It's not. Google Search uses JSON-LD heavily for rich snippets and knowledge panels. But AI models like Claude and Gemini care about different signals. They care about freshness, accuracy, and whether the information is specifically structured for them to understand. A page optimized for Google might still be invisible to AI if it lacks the right structured data. This is where GEO and AEO diverge. Google Extract Optimization focuses on snippet visibility. AI Extract Optimization focuses on getting cited by AI.

Implementation isn't complicated. You can add JSON-LD to your website manually in the head section of your HTML. Most modern CMS platforms like WordPress have plugins that generate it for you. Shopify products automatically include structured data. LinkedIn's own pages have heavily structured data. The bottleneck isn't technical. It's awareness. Most brands don't know that AI can see and use their structured data. So they don't prioritize it.

The brands winning in AI search right now are the ones who've already done the work. They've added schema to their product pages. They've marked up their articles with publish dates and authors. They've listed their business hours and phone number in LocalBusiness markup. When AI models crawl these sites, they extract clean, reliable data. That data gets cited in AI answers. Those citations drive traffic. This is the new funnel.

Your next move is to audit your current AI visibility. Check whether your key pages have structured data. See if you're being cited in AI answers already. Find out where you're losing to competitors who have better markup. Engagemii gives you a free AEO score that shows exactly where you stand. Visit engagemii.com/aeo to run your first scan. You'll see which pages have schema, which ones are missing it, and which ones need better structure. That's your roadmap for showing up in AI answers.

Originally published on Engagemii

What is AEO? The beginner's guide to Answer Engine Optimization

Gregory Pellitteri — Tue, 05 May 2026 23:50:23 +0000

What is AEO? The beginner's guide to Answer Engine Optimization

ChatGPT answered 200 million questions last month. Google's AI Overviews are showing up on millions of searches. Claude is running research for entire teams. The question isn't whether AI will shape how people find information. It already has. And if your brand isn't showing up in these answers, you're invisible to a massive audience.

Answer Engine Optimization is the practice of getting your content cited and featured in AI-generated responses. It's what SEO became when the search results themselves started getting smarter. GEO, or Google Engine Optimization, focuses specifically on Google's AI products. But AEO is broader. It covers ChatGPT, Claude, Gemini, and every other tool that's learning to answer questions instead of just ranking links.

AEO isn't about gaming an algorithm. It's about making your expertise visible to the systems that now mediate how people learn things.

Here's why this matters right now. Search engines used to rank pages. AI systems don't work that way. They compress information into direct answers. A user asks ChatGPT how to fix a leaky faucet. The AI generates an answer. If your plumbing guide isn't in the training data or isn't cited properly, you don't exist in that conversation. You lose the traffic. You lose the trust. You lose the customer.

Most brands have zero visibility in AI answers. They're optimizing for Google's traditional search results while their competitors are already being cited by ChatGPT.

The mechanics are different from SEO, but the principle is the same. You need to be discoverable. You need to be credible. You need to be relevant. The tools are just different. With traditional GEO and AEO, you're not fighting for page ranking. You're fighting for inclusion in an AI's response. That means your content needs to be structured so AI systems can parse it. Your expertise needs to be verifiable. Your facts need to be current and correct.

Structured data is the foundation. Schema markup tells AI systems what your content actually says. A recipe with proper schema markup isn't just a webpage. It's machine-readable information that Claude or ChatGPT can understand and cite. Without it, you're just text in a database.

Authority matters more in AI answers than it ever did in SEO. An AI citing sources wants to cite credible sources. If your brand is recognizable and published on a trusted domain, you're more likely to get pulled into an answer. If you're a new startup on a thin domain, you have an uphill climb.

Recency is brutal. AI models train on data with cutoff dates. But they're increasingly aware of freshness. Content that's been updated recently gets weighted differently than content that's been sitting unchanged for three years. If you want AI citations, you need to keep your content alive.

The gap between AI visibility and traditional search visibility is where the opportunity lives right now. Brands can dominate AI answers while their SEO competitors are still fighting for page one on Google.

Start by accepting this basic truth. AI search is not coming. It's here. Brands that wait for it to become mainstream will be years behind. Brands that optimize for AEO now will own the space when everyone else is scrambling to catch up.

Want to know where you stand? Check your AI visibility score at engagemii.com/aeo. It takes two minutes. You'll see exactly how often your brand is being cited in AI answers and what you need to fix. From there, you can actually plan instead of guessing.

Originally published on Engagemii

Small Businesses Can't Ignore AI Search. Here's How to Win.

Gregory Pellitteri — Tue, 05 May 2026 23:44:53 +0000

Small Businesses Can't Ignore AI Search. Here's How to Win.

Google's monopoly on search is over. ChatGPT has 200 million weekly users. Claude is gaining ground. Gemini is baked into Android. Your customers are asking AI tools for answers instead of clicking blue links. If your business doesn't show up in those answers, you don't exist to them.

This is the AI era of search. It's called AEO (Answer Engine Optimization). And the brands winning right now are the ones building visibility into AI systems before their competitors wake up to the opportunity.

The old SEO playbook doesn't work here. You can't game an AI model with backlink tricks or keyword stuffing. AI systems train on real web content and cite real sources. They're looking for businesses that actually have something useful to say. Credibility matters more than ever.

Small businesses have an edge here that most don't realize. You probably have expertise that big competitors don't. You know your niche deeply. You've solved specific problems for thousands of customers. That specificity is exactly what AI systems reward. A plumber in Denver who writes about local water hardness issues will get cited by Claude more reliably than a generic plumbing company that doesn't take a real stance on anything.

The barrier to entry is low. You don't need to hire an agency. You don't need to spend months on SEO campaigns. You need to make sure your expertise is visible, citable, and discoverable by AI models. That means structuring your content so machines can actually read it. It means being quoted and cited in places AI systems trust. It means showing up where your customers are asking questions.

Most small business owners are still obsessed with Google rankings. Meanwhile, their competitors are already getting AI citations. Those citations drive traffic. They build authority. They steal market share.

Here's what actually works. First, audit where your business should be appearing in AI answers. Which questions do your customers ask? Which AI tools do they use? Second, claim and verify your business information in places AI systems trust. Third, create content that AI models will actually want to cite. That means original research. Case studies. Data. Real examples from your work.

The technical side matters too. Your website structure needs to be clean. Your schema markup needs to be correct. Your author information needs to be clear. When Claude cites you, it's because your content is easy to parse and verify. When ChatGPT pulls your data, it's because you made it findable. GEO (Google's version of AI search) will follow similar patterns. You're preparing for all of them at once.

Speed is real here. The brands getting AI citations right now aren't waiting for perfect strategy. They're acting fast. They're publishing content. They're building visibility. They're getting feedback from actual AI outputs and adjusting. In six months, the low-hanging fruit will be gone.

Your competitors in this space are probably not other small businesses yet. They're bigger brands that already have teams on this. Your window to get ahead is closing. Move now while competition is still thin.

Start by checking your AI visibility score. You can see exactly where your business shows up (or doesn't) across ChatGPT, Claude, Gemini, and other systems. Visit engagemii.com/aeo to get your free AEO score. It takes two minutes. You'll see what's working, what's missing, and exactly what to fix next. That's your starting point. Everything else follows from there.

Originally published on Engagemii

Perplexity's Citation Algorithm: What Actually Gets You Cited

Gregory Pellitteri — Tue, 05 May 2026 23:29:44 +0000

Perplexity's Citation Algorithm: What Actually Gets You Cited

Perplexity is the second most popular AI search engine in the US. Millions of people ask it questions every day. And when Perplexity answers, it cites sources. Your brand either gets that citation or it doesn't. The difference isn't luck.

Most brands still treat AI visibility like SEO: write good content, optimize keywords, hope for the best. This approach fails in AI citation because Perplexity's algorithm doesn't rank pages. It retrieves and synthesizes them. The goal isn't to rank first. The goal is to be considered authoritative enough to cite.

Perplexity uses a multi-layer evaluation system that starts with domain authority but doesn't stop there. It looks at topical relevance, content freshness, and whether your page actually answers the specific query being asked. A competitor's homepage might rank higher in Google but appear worthless to Perplexity for a niche question.

Authority matters first. Perplexity weights established domains, particularly those with E-E-A-T signals that Google trained the AI on. But here's what most brands miss: authority alone won't get you cited. Your page needs to be about the exact thing being asked. A financial services company with massive domain authority won't get cited for a query about their manufacturing process if that content doesn't exist on their site.

Content specificity is where most brands fail. Perplexity's retrieval system looks for pages that directly address the query. Generic homepage content, broad landing pages, and blog posts that dance around the topic get filtered out. You need pages that answer with precision. This means owned content that goes deeper than competitors. This means actually solving the reader's problem on the page itself.

Freshness accelerates citation likelihood. Perplexity's algorithm biases toward recent content, especially for trending topics, product updates, and time-sensitive information. If you published definitive content six months ago and haven't touched it, competitors with fresher angles will displace you. This isn't about constantly rewriting everything. It's about updating pages when the facts change.

Structured data helps, but it's not a shortcut. Perplexity uses schema markup to understand what your page is about faster. But structured data without quality content underneath is theater. The system will still evaluate whether your content actually serves the query. Schema just makes that evaluation faster and more accurate.

Citations also flow toward content that competitors cite. Perplexity's algorithm notices when industry sources, journalists, and other authoritative pages reference your work. These inbound signals tell the system that your content is worth considering. This creates a feedback loop where cited sources get cited more. Getting into that loop requires content that other smart people want to reference.

The biggest lever most brands ignore is query coverage. Perplexity can only cite you for questions where you have content. Many brands optimize for high-volume keywords instead of the queries their customers actually ask. An enterprise software company might rank for "CRM software" but have no content about "how to migrate from Salesforce to Hubspot." Perplexity will cite someone else for that second query because you didn't show up.

Building AI visibility requires the same rigor as SEO but with a different optimization target. Instead of ranking pages, you're making them retrievable, authoritative, and directly responsive to the questions your audience asks. The brands winning at AI citation understand this distinction. They're not playing the old ranking game. They're building content systems that Perplexity's algorithm can't ignore.

Want to know if your content actually shows up in AI answers? Check your AEO score at engagemii.com/aeo. It'll show you which of your pages Perplexity and other AI systems are citing, where you're losing citations to competitors, and what's preventing your best content from showing up. Once you see the gap, fixing it becomes straightforward.

Originally published on Engagemii

Your FAQ is useless to AI. Here's how to fix it.

Gregory Pellitteri — Tue, 05 May 2026 23:29:20 +0000

Your FAQ is useless to AI. Here's how to fix it.

Your FAQ page probably won't show up in ChatGPT. And if it does, Claude won't cite it the same way Google would. That's because AI engines don't read FAQs like humans do. They're looking for something much more specific—and most brands are getting it wrong.

The difference comes down to how you structure the page. Google Search has spent 20 years training on FAQ markup and patterns. AI language models are different animals. They're pattern-matching across billions of documents, looking for authority signals. A well-written FAQ can provide those signals. A poorly structured one becomes invisible noise.

Start with the questions people actually ask in their own words. Most FAQ pages are written for SEO. You see them. 'What is X?' 'How does X work?' 'Why choose X?' These are marketer questions, not user questions. AI models train on conversational text. Your FAQ needs to match how people really talk.

Your answers should be self-contained paragraphs, not marketing fluff. This is critical for AI citations. When Claude or ChatGPT pulls from your FAQ, it needs to extract a complete thought. Write 2-4 sentences per answer. Make each sentence add new information. Remove hedging language and sales copy. AI engines reward clarity and directness.

Use proper semantic HTML. An FAQ schema markup (the kind Google recognizes) actually helps AI engines too. Wrap questions in h3 tags. Keep answers in simple paragraphs. Don't use tables or nested divs to structure Q&A pairs. The cleaner your markup, the easier you are to cite. This is basic web hygiene that 60% of brands skip.

Answer the question, then stop. Don't add related links. Don't cross-sell. Don't soften the answer with 'it depends' or 'some people say.' AI citation means the model is confident enough in your answer to include it alongside others. Confidence reads as clarity. Most FAQ answers are buried under CTAs and disclaimers. Cut them.

Your FAQs compete with Wikipedia, Reddit, industry reports, and docs from bigger competitors. To win at AI visibility, you need to own the technical answers your category needs. If you sell project management software, your FAQ shouldn't ask 'What is project management?' It should answer 'Why do Agile teams need burndown charts?' and 'How do you calculate sprint velocity?' Answer the questions that matter to your audience, not the ones that rank in Google.

Update your FAQ quarterly at minimum. AI engines are trained on snapshots of the web, but they refresh. New answers get discovered. Outdated ones get deprioritized. Most brands publish an FAQ once and leave it. That's a missed opportunity. When you update, add questions that address gaps in how AI currently discusses your space. Check what ChatGPT says about your category. Ask follow-ups. Build FAQs that close those gaps.

Here's what separates winning FAQs from broken ones: winning FAQs are written for AI discovery, not Google ranking. They answer specific technical questions in clear, citable prose. They're updated regularly. They sit on fast-loading pages with good site structure. Broken FAQs are stuffed with keywords, short on substance, and buried under design clutter.

Check your current AI visibility with Engagemii's free AEO score at engagemii.com/aeo. You'll see exactly which of your pages are showing up in AI answers, which ones are getting cited, and which FAQ content is being ignored. From there, you can rebuild strategically. That's how you stop being invisible to the next generation of search.

Originally published on Engagemii