The complete guide to AEO, AEIO, and AI visibility.

AI Engine Influence Optimization (AEIO) goes beyond simply appearing in AI responses — it's the practice of actively shaping how AI platforms describe, position, and recommend your business. While AEO focuses on visibility (being mentioned), AEIO focuses on influence (controlling the narrative). This includes optimizing the sentiment of AI mentions, the context in which your brand appears, and how AI compares you to competitors when users ask for recommendations.

Traditional SEO (Search Engine Optimization) focuses on ranking your web pages in Google and Bing — measured by position, click-through rate, and organic traffic. AEO focuses on getting your business recommended by AI systems like ChatGPT, Perplexity, Claude, and Gemini — measured by mention frequency, sentiment, and recommendation rate. The two disciplines overlap (structured content, authority signals) but diverge significantly: SEO prioritizes keyword matching and backlinks, while AEO prioritizes entity recognition, comprehensive FAQ coverage, and topical authority. Both matter — they are complementary, not competing.

GEO (Generative Engine Optimization) is an academic term coined by researchers to describe optimizing content for large language model outputs. AEO is the practitioner's term for the same discipline applied specifically to business visibility in AI search platforms. They refer to the same underlying goal — appearing favorably in AI-generated responses — but AEO has broader adoption in the marketing industry and typically encompasses both organic AI visibility and actively influencing brand narrative (what AEIO addresses). If someone says "GEO," they mean the same thing as AEO.

Any business where customers research online before making decisions benefits from AEO. The highest-impact industries include local services (dental, legal, medical, home services), SaaS and B2B software, professional services (accounting, consulting, financial), e-commerce, hospitality, and healthcare. Local service businesses are particularly at risk — a competitor who invests in AEO can dominate AI recommendations while a non-optimized business is completely invisible, even if they rank higher on Google.

AI platforms make recommendations based on several factors: the quality and clarity of information about your business on the web, how consistently your brand appears across authoritative sources, the structure of your website content (especially FAQ pages and schema markup), your topical authority in your category, and what other trusted sources say about you. AI models are trained on vast datasets and continuously updated — businesses with clear, structured, well-distributed information are consistently more likely to be surfaced as recommendations.

Perplexity is a retrieval-augmented AI — it actively searches the web in real time before generating answers, then cites the sources it used. To be cited by Perplexity, your content needs to be publicly accessible and indexable, directly relevant to the query, clearly structured so the specific answer is easy to extract, on a domain with reasonable authority, and likely to appear in top search results for related queries. FAQ pages with clean schema markup are particularly well-suited to Perplexity citation because the answer is explicit and self-contained.

ChatGPT makes recommendations based on its training data — the vast corpus of web content, reviews, articles, and discussions it was trained on — combined with real-time web browsing when enabled. Businesses appear in ChatGPT recommendations when they are well-represented across multiple authoritative web sources, clearly categorized in their industry, mentioned positively in review platforms and media, and have consistent brand information. When browsing is enabled, ChatGPT actively retrieves current information and behaves similarly to Perplexity.

AI Overviews (formerly Google SGE) is Google's AI-generated summary that appears at the top of search results for many queries. When it displays, it dramatically reduces clicks to organic results — users get their answer directly from Google. If your business is cited in an AI Overview, you receive high-visibility exposure without ranking #1. If you're not cited, you may be invisible even if you rank organically. Optimizing for AI Overviews requires the same structured content and authority signals as other AI platforms, plus strong traditional SEO foundations.

No. AI visibility varies significantly by geography. AI platforms have uneven coverage of local businesses, with major metro areas and English-language markets generally having more robust data. Local service businesses may be highly visible in AI results for their specific city but invisible for adjacent markets. Your AI visibility strategy should account for the specific markets you serve, and your measurement should be geo-specific rather than relying on national averages.

FAQ schema (FAQPage schema) is structured data markup — written in JSON-LD format and embedded in your webpage — that explicitly tells search engines and AI systems the questions and answers on your page. It removes ambiguity: instead of an AI having to infer what your page is about, the schema directly states the question and the exact answer. AI platforms are trained to recognize and prioritize structured, machine-readable content. A well-implemented FAQ schema page can be cited by AI systems verbatim as a trusted source, making it the single highest-impact technical action most websites can take.

Structured data is code (typically JSON-LD format) added to your website that labels your content in a way machines can understand precisely. Common types include FAQPage (questions and answers), LocalBusiness (address, hours, services), Product (pricing, reviews), and Organization (brand identity, social profiles). AI platforms use structured data to build their understanding of who you are, what you offer, and what questions you answer. Businesses without structured data are harder for AI to accurately categorize and recommend.

Entity optimization is the process of ensuring AI systems have a clear, consistent, and complete understanding of your business as a distinct entity — not just a collection of web pages. This means making your business name, location, category, products/services, and key personnel consistently available across your website, Google Business Profile, social profiles, and third-party directories. AI models build their understanding of entities from all available data — inconsistencies or gaps lead to your business being misrepresented or omitted from recommendations.

The most AI-friendly page structure includes: a clear H1 that states the page's topic explicitly; H2 subheadings that organize content into logical sections; H3 headings for individual questions or subtopics; concise direct paragraph answers (2–4 sentences per answer is ideal for AI citation); JSON-LD structured data that mirrors the page content; and internal links to related pages that signal topical depth. Every page should be able to stand alone — a reader or AI arriving directly should immediately understand who you are, what the page covers, and what to do next.

Yes — many high-impact AEO improvements require no coding. Adding FAQ content to your website, updating your About page, ensuring consistent business information across Google Business Profile and social platforms, earning reviews on Yelp, Google, and industry directories, and publishing authoritative blog content are all actions requiring writing, not code. Technical improvements like JSON-LD schema do require some comfort with code, but many platforms (WordPress, Squarespace, Webflow) have plugins that generate schema automatically. Askable's roadmap distinguishes technical from non-technical tasks so you know what you can do yourself.

The highest-impact content changes for AI visibility are: (1) Adding a comprehensive FAQ page with JSON-LD FAQ schema — consistently the single highest-ROI action. (2) Creating a clear, detailed About page that establishes entity identity. (3) Writing long-form service pages that fully answer customer questions rather than just listing services. (4) Publishing topical authority content — blog posts, guides, or resources that demonstrate deep expertise in your category. (5) Getting cited on authoritative third-party sites — review platforms, industry directories, and news mentions. Each of these signals to AI that your business is a credible, authoritative source worth recommending.

Topical authority is the depth and breadth of expertise your website demonstrates on a specific subject. AI models are more likely to recommend sources they perceive as authoritative on a topic. You build topical authority by comprehensively covering your subject area — answering every question a customer might have, creating content that addresses adjacent topics, earning mentions from other authoritative sources, and consistently publishing accurate, detailed information. A dental practice that answers 50 patient questions on its website has higher topical authority than one with only a services page.

Online reviews are a significant input to AI visibility, particularly for local businesses. AI platforms ingest data from Google Reviews, Yelp, Trustpilot, G2, and other platforms as part of their understanding of your reputation. A high volume of positive, specific reviews increases the likelihood that AI platforms recommend you confidently. Reviews that mention specific services, outcomes, or locations are especially valuable — they provide AI with richer, more specific information about what you offer and who you serve.

Consistency matters more than volume. Publishing one high-quality, comprehensive piece of content per month is significantly more effective than publishing thin, keyword-stuffed posts weekly. Each piece of content should fully answer a specific customer question, be structured with clear headings and schema markup, and link to related content on your site. For local businesses, focus first on building out core service pages and FAQ content before starting a blog — foundational content has higher and faster impact than regular publishing.

Yes — Google rankings and AI visibility are complementary, not competing. Strong Google rankings build the domain authority and web presence that AI systems use as signals. High-quality backlinks, well-optimized content, and strong organic rankings all contribute to AI visibility. However, they are not sufficient on their own — businesses with excellent Google rankings are frequently invisible to AI. You need both. The structured content and entity clarity required for AEO also tends to improve Google rankings, making the two disciplines mutually reinforcing rather than in conflict.

The manual approach: query ChatGPT, Perplexity, Claude, and Gemini with questions a potential customer would ask — for example, "What is the best [your service] in [your city]?" or "Who are the top [your category] providers?" Note whether your business appears, how it's described, and who your competitors are in those results. The systematic approach: Askable automates this across hundreds of queries and gives you a scored, benchmarked report with competitor comparison — available free at askable.dev. The manual method is useful for a quick snapshot; systematic tracking is required for ongoing optimization.

AI visibility measures whether your business appears in AI-generated responses — are you being mentioned at all? AI sentiment measures the quality and tone of those mentions — when AI talks about you, is it positive, neutral, or negative? Is it recommending you or merely acknowledging you exist? Both dimensions matter. A business can have high visibility but poor sentiment (mentioned alongside caveats) or low visibility but positive sentiment when mentioned. Complete AI presence management requires tracking both — Askable measures and scores both dimensions in your weekly report.

Weekly monitoring is ideal for active optimization — it lets you see the impact of changes quickly and respond to competitor movements. Monthly audits are the minimum for businesses not actively optimizing, just to ensure nothing has changed negatively. AI platforms update their training data and retrieval behaviors regularly, meaning your visibility can shift without any action on your part. Askable runs continuous monitoring and delivers weekly score updates and email reports so you're always aware of changes without manual querying.

The Askable Score is a single composite metric (0–100) that measures your business's AI visibility across all major AI platforms. It factors in mention frequency, sentiment of those mentions, your category ranking compared to competitors, platform-specific performance across ChatGPT, Perplexity, Claude, Gemini, and AI Overviews, and the quality of your website's AI-readiness signals. Think of it like domain authority — but for AI search. A score above 80 means you're consistently recommended in your category. Below 30 means you're rarely or never surfacing.

Askable currently tracks five AI platforms: ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews — the five highest-traffic AI search surfaces as of 2025–2026. We continuously add new platforms as AI search evolves. Askable users are automatically covered as new platforms are added to monitoring at no additional cost.

Manually, you can query AI platforms with competitive questions ("Who are the best [category] providers in [location]?", "Compare [your brand] vs [competitor]") and document the results — but this is time-consuming and non-systematic. Askable automates competitor tracking by continuously querying hundreds of relevant prompts across all major AI platforms, measuring competitor Askable Scores in real time, and alerting you to changes. You see exactly which queries competitors appear in that you don't, and receive specific recommendations to close the gap.