Learn about AI visibility, Ranking Prominently with GEO Tactics

GEO and AEO are two terms for essentially the same strategic discipline. Both refer to optimizing content so it gets used and cited by AI-powered search experiences.

Here’s where a technical distinction is sometimes drawn: AEO tends to refer to AI-assisted search features like Google’s AI Overviews, Bing Copilot, and featured snippets – where AI extracts and surfaces a direct answer. GEO tends to refer to fully generative platforms like ChatGPT, Claude, and Perplexity – where AI creates an entirely synthesized response from multiple sources.

In practice, the optimization strategies are nearly identical and most professionals use the terms interchangeably. The important thing isn’t which term you use, it’s making sure your brand is visible and well-represented wherever people are searching for answers.

You may also hear the terms LLMO (Large Language Model Optimization), CAIO (Conversational AI Optimization), or AIO (AI Optimization). These all point to the same fundamental challenge: showing up when AI answers questions.

The major AI-powered platforms that are currently reshaping search behavior include:

• Google AI Overviews: The AI-generated answer that now appears at the top of billions of Google searches, appearing in over half of all searches in competitive categories.
• ChatGPT: Now with over 400 million weekly users, it’s one of the most-used research tools in history and increasingly used for commercial research.
• Perplexity: A conversational search engine specifically designed to replace traditional web search, with cited sources.
• Google Gemini: Google’s standalone AI assistant, deeply integrated into the Google ecosystem.
• Microsoft Copilot / Bing AI: Embedded across Microsoft products. Many AI tools pull real-time data from Bing, making Bing optimization more important than many realize.
• Claude (Anthropic): Increasingly used for business and professional research tasks.

For most businesses, Google AI Overviews and ChatGPT represent the highest-priority targets given their sheer scale.

Traditional SEO focuses on helping your website rank in a list of links (search results) when someone searches a keyword. The user then chooses which link to click. Success is measured in rankings and traffic.

GEO/AEO is about influencing what the AI says – becoming the source it draws from when it generates an answer. The user doesn’t always see your link; they see the AI’s answer, which may cite your business by name/brand or simply reflect your content and expertise.

• SEO primary signals: Keywords, backlinks, page authority, technical performance
• GEO/AEO primary signals: Content clarity, factual accuracy, E-E-A-T (expertise, experience, authoritativeness, trustworthiness), citations, schema structure, brand authority across the web

The good news: the fundamentals of good SEO – authoritative, well-structured, accurate content – are also the foundation of GEO. They’re complementary strategies, not competing ones.

If your competitors are optimized for AI search and you aren’t, they will increasingly be the ones cited, recommended, and surfaced when potential customers ask AI tools for guidance in your category. As AI Overviews now appear on a large and growing percentage of Google searches, and as platforms like ChatGPT are used by hundreds of millions weekly, being absent from those answers is a compounding competitive disadvantage.

The impact is already measurable. Research by Ahrefs found that AI Overviews reduced click-through rates for top-ranking Google content significantly  – meaning even a #1 ranking doesn’t guarantee the visibility it once did. The traffic may go instead  to whatever source the AI cites.

Businesses in professional services, healthcare, home services, legal, and e-commerce are particularly impacted, as consumers frequently ask AI tools for recommendations and trusted information in these categories.

Any business whose customers use online search in their decision-making process stands to benefit – which in reality is nearly every business. That said, the impact tends to be highest in categories where people ask research questions before making a purchase or booking:

• Professional services (law firms, financial advisors, accountants, consultants)
• Healthcare & wellness (medical practices, therapists, dentists, med spas)
• Home services (HVAC, plumbing, roofing, remodeling, electrical)
• Education (private schools, tutoring services, training programs)
• E-commerce brands where product comparison research happens in AI chat
• Local businesses competing for “best [service] near me”-style queries

B2B companies should also take note: Forrester reports that 89% of B2B buyers now use generative AI as a key part of their self-guided research. If your brand isn’t showing up in those AI-generated research summaries, you’re being screened out before a conversation even begins.

Local businesses face a unique opportunity – and risk – with AI search. When someone asks Google or ChatGPT “who is the best [service] in [city]?”, AI tools pull from a combination of your website content, Google Business Profile data, reviews, local citations, and third-party mentions across the web.

Local GEO optimization involves:

• Maintaining a fully optimized, accurate Google Business Profile
• Building consistent citations (name, address, phone) across directories
• Generating genuine, descriptive customer reviews that mention services and location
• Publishing local-specific content that establishes topical authority for your area
• Earning mentions on local news sites, community platforms, and industry directories

Local businesses that have invested in strong local SEO fundamentals are well-positioned – those signals translate directly into AI search visibility.

Content that performs well in AI search tends to share certain characteristics:

• Direct, question-answering format – Write content that anticipates the exact questions your audience asks, and answers them clearly and immediately. FAQ structures, how-to guides, and comparison pages perform especially well.
• Data and statistics – AI engines are drawn to content that includes verifiable facts, original research, and specific figures. If you can reference industry data or publish proprietary research, do it.
• Authoritative citations and quotations – Content that references credible external sources demonstrates scholarly rigor that AI tools recognize and trust.
• Comprehensive topic coverage – Rather than writing thin pieces on many topics, go deep on the subjects most relevant to your business. Topical authority is a major GEO signal.
• Conversational language – AI tools are trained on natural language. Content written to sound like how people speak and ask questions tends to match AI query patterns more naturally.
• Schema markup – Structured data (particularly FAQ schema, How-To schema, and LocalBusiness schema) helps AI engines understand and categorize your content.

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — a framework originally developed by Google to evaluate content quality, now essential for AI search visibility.

• Experience: Does this content come from someone with real, first-hand experience? Case studies, testimonials, and demonstrated results signal this.
• Expertise: Does the content reflect genuine knowledge depth? Author credentials, industry affiliations, and detailed technical accuracy signal expertise.
• Authoritativeness: Is this brand recognized and cited by others in the space? Backlinks, press mentions, partnerships, and third-party reviews all contribute.
• Trustworthiness: Is the site secure, transparent, and accurate? HTTPS, clear contact information, privacy policies, and factual accuracy all matter.

AI models are pattern-trained to favor content that mirrors what trusted, authoritative sources look like. Building strong E-E-A-T isn’t just a GEO tactic – it’s the foundation of lasting digital credibility.

Your website is just one piece of the AI visibility puzzle. AI engines form their understanding of your brand from signals across the entire web – not just your own content. This is sometimes called your “brand footprint.”

Places where your brand presence helps AI visibility:

• Review platforms: Google Reviews, Yelp, Trustpilot, and industry-specific review sites
• Social media: Active, consistent profiles on LinkedIn, Instagram, Facebook, and YouTube
• Community forums: Reddit, Quora, and industry-specific communities frequently appear in AI-generated answers
• Press and media: Being quoted in news articles, trade publications, and industry blogs significantly boosts AI authority signals
• Directory listings: Industry directories, local citations, and professional association listings
• Podcast appearances and video content: Transcripts and show notes from these are indexed and contribute to topical authority

Brands mentioned frequently and favorably across multiple credible platforms are significantly more likely to be cited in AI responses than those with a narrow digital footprint.

Yes – social media content has an indirect but meaningful impact. Social media doesn’t feed directly into search engine rankings the way traditional backlinks do, but it contributes to AI visibility in several important ways:

• Social profiles and posts are indexed by AI tools, especially on platforms like LinkedIn, YouTube, and Reddit
• High engagement creates brand mentions across the web, broadening your AI footprint
• Video platforms like YouTube are increasingly referenced by AI tools, making video SEO and transcripts valuable
• Reddit threads and community discussions frequently appear in AI-generated answers – having a presence in relevant conversations matters

A consistent, credible social presence reinforces the authority signals that make AI tools more likely to include your brand in their responses.

Many of the technical fundamentals that support traditional SEO are equally important for AI search. Key technical priorities include:

• Schema markup / structured data: Implementing FAQ, HowTo, LocalBusiness, Review, and Article schema helps AI engines parse and categorize your content accurately
• Crawlability: Ensure your robots.txt and meta directives don’t inadvertently block AI crawlers
• Page speed and mobile optimization: Slow, clunky sites signal lower quality to AI systems as well as traditional search engines
• HTTPS security: A basic trust signal that both search engines and AI systems factor in
• Server-side rendering: Some AI crawlers still struggle with heavily JavaScript-dependent pages; server-side rendering ensures your content is accessible
• Clear site architecture: Well-organized content hierarchies help AI understand the relationships between your pages and topics

Yes, reviews impact your AI visibility significantly. Customer reviews are one of the strongest real-world credibility signals available to AI engines, for several reasons:

• Reviews provide human-generated, keyword-rich content that mentions your services, location, and brand name naturally
• High review volume and ratings on Google, Yelp, and industry platforms signal that real people have trusted your business
• Specific, detailed reviews give AI engines contextual understanding of what your business actually does
• Review platforms themselves rank highly and are frequently cited by AI tools

Businesses serious about GEO should have an active review generation strategy – making it easy for satisfied customers to leave reviews, and responding professionally to all feedback to demonstrate accountability.

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — a framework originally developed by Google to evaluate content quality, now essential for AI search visibility.

• Experience: Does this content come from someone with real, first-hand experience? Case studies, testimonials, and demonstrated results signal this.
• Expertise: Does the content reflect genuine knowledge depth? Author credentials, industry affiliations, and detailed technical accuracy signal expertise.
• Authoritativeness: Is this brand recognized and cited by others in the space? Backlinks, press mentions, partnerships, and third-party reviews all contribute.
• Trustworthiness: Is the site secure, transparent, and accurate? HTTPS, clear contact information, privacy policies, and factual accuracy all matter.

AI models are pattern-trained to favor content that mirrors what trusted, authoritative sources look like. Building strong E-E-A-T isn’t just a GEO tactic – it’s the foundation of lasting digital credibility.

Not directly – but you can significantly influence it. AI models form their understanding of your business from the content they index across the web. The more clearly, consistently, and authoritatively you define your own brand, the more accurately AI will represent it.

Strategies to influence AI representation:

• Publish clear, well-written “About,” “Services,” and “Expertise” pages that define who you are in plain language
• Use consistent brand language and messaging across all platforms (website, social, directories, press)
• Correct inaccurate information on third-party platforms and directory listings promptly
• Publish thought leadership content that demonstrates your perspective and expertise
• Earn mentions in credible external sources that describe your business accurately

If an AI tool is describing your business incorrectly, the fix is almost always a content and authority problem – the AI has limited or low-quality information to draw from. More authoritative, clear content typically corrects this over time.

Both matter, but citations (where the AI links directly to your content) are the gold standard of AI brand visibility for several reasons:

• A direct citation drives traffic and demonstrates that your content is authoritative enough to be recommended
• Cited sources experience measurable referral traffic from AI platforms – data shows AI referrals to leading websites have surged dramatically year-over-year
• Being cited positions your brand as an expert source, reinforcing authority signals across the web

That said, brand mentions in AI responses – even without a direct link – have real value. They expose your brand name to users at a high-intent research moment. The goal is to earn both citations when users seek information and brand inclusion when they ask for recommendations.

Like traditional SEO, GEO is a medium-to-long-term investment. There are no reliable shortcuts. That said, some elements respond faster than others:

• Faster impact (weeks to a few months): Schema markup implementation, content restructuring for FAQ formats, Google Business Profile optimization, technical fixes for crawlability
• Medium-term impact (3–6 months): New high-quality content gaining authority, review generation campaigns, local citation building
• Longer-term impact (6–12+ months): Building topical authority through content depth, earning high-value editorial mentions, establishing E-E-A-T signals that generative AI systems recognize

Businesses that have invested consistently in quality SEO over the years are often better positioned to see faster GEO results, because they’ve already built the foundation of authority that AI engines draw from.

This is a legitimate concern,  and one the industry is actively navigating. Research does show that AI Overviews can reduce click-through rates on some informational queries, because users get their answer without clicking. However, the picture is more nuanced than a simple “less traffic” story:

• AI Overviews and generative responses frequently drive traffic to the sources they cite – referral traffic from AI platforms has grown dramatically for many businesses
• Research suggests that AI search tends to drive higher-intent visitors, since users have already been qualified and educated by the AI response before clicking
• Informational search traffic that converts poorly may decrease, while commercial-intent and brand-driven traffic may increase for businesses with strong AI visibility
• GEO and AEO optimization positions your brand to capture AI-referred traffic rather than lose to competitors who are better optimized

The shift in traffic patterns is real, but the response isn’t to abandon digital strategy – it’s to adapt it to earn visibility in the channels where your audience now researches and decides.

They absolutely should be combined – and that’s exactly how WormWood approaches it. The most effective AI visibility strategy is one where SEO and GEO are executed as a unified program:

• Strong technical SEO ensures AI engines can crawl and understand your content
• Quality content optimized for human readers also performs well in AI search
• Authority-building tactics (link earning, PR, reviews) serve both traditional search rankings and AI citation rates
• The E-E-A-T signals that Google has always valued are now the same signals AI engines use to evaluate trustworthiness

Businesses that run SEO and GEO as separate programs – or that abandon SEO to chase GEO tactics in isolation – are leaving value on the table. The integrated approach consistently outperforms.

The best starting point is an honest assessment of where your business currently stands – in both traditional search and AI search visibility. A thorough audit should examine:

• Your current SEO foundation: technical health, content quality, authority signals
• How your brand currently appears (or doesn’t) when relevant questions are asked in ChatGPT, Perplexity, and Google AI Overviews
• Your off-site presence: reviews, citations, social profiles, press mentions
• Content gaps where your expertise could be better demonstrated and indexed
• Competitor AI visibility: who is appearing in your category, and why

From there, a prioritized roadmap identifies the highest-impact improvements – starting with technical and content foundations, then building toward broader brand authority and AI citation. Book a consultation with WormWood and we’ll walk you through the landscape for your specific category and market.