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Brand visibility
- 24 Jun, 2025
AI Search Engines in 2025: How they work and how they Affect Brand Visibility.
Generative AI platforms like ChatGPT, Gemini, Perplexity AI, Claude, SearchGPT, Bing or Grok don’t just crawl and index content—they interpret, summarise, and repackage it uniquely. Some prioritise fast, fact-based answers. Others deliver in-depth, conversational insights or creative responses. To rank in AI-generated results, your content strategy must align with how each engine processes and presents information. This guide breaks down the top generative AI tools of 2025: ChatGPT, Claude, Gemini, Perplexity, Bing Copilot, and Grok, with a focus on their web access capabilities, real-time information handling, and how that impacts search, content visibility, and digital strategy. Why AI Search Engines Matter in 2025 Unlike traditional search engines that list links, AI search engines like Grok or Perplexity summarize, interpret, and personalize answers, often pulling from websites, blogs, or X posts. Some, like ChatGPT, rely on pre-trained data with optional web access, while others, like Perplexity, are built for real-time searches. This matters for two big reasons: Content Creators: To rank in AI answers (via GEO), you need to know which models access the web and how they pick sources.Businesses: For e-commerce, being cited by AI for queries like “best sustainable products” drives traffic and sales.“AIO keywords trigger 849% more Featured Snippets and 258% more Discussions compared to non-AIO queries.” Louise Linehan, Ahrefs.How Top AI Search Engines Work Each AI model has unique strengths, web access methods, and content preferences. AI Search Engines Comparison Table (2025) AI comparison table showing six AI models (ChatGPT, Claude, Gemini, Perplexity, Bing Copilot, Grok) . Each model lists whether it has real-time web access, how it accesses the web (e.g., built-in browser, web search, Google Search integration), the type of data it uses (static, real-time, hybrid), and its best use case (such as research, summarization, search augmentation, fact-based research, enterprise search, or trend tracking). Here’s a breakdown to help you tailor your GEO strategy for maximum visibility, especially for e-commerce. Perplexity AI: The Search-First Champion Perplexity AI is built from the ground up as an AI-powered search engine, making it a go-to for fact-based queries like “latest sustainable fashion trends.” Key Capabilities:Real-time web searches with direct source citations for fact-checking. Deep Research feature runs multiple searches for in-depth answers. Synthesizes multi-source info into clear, structured responses. Excels at balanced, multi-perspective answers.GEO Tips for Perplexity:Use FAQ schema on product pages, e.g., “Why are [brand] notebooks eco-friendly?” with answers like “Made from 100% recycled paper (2025 Eco Report).” Add citations to blogs, e.g., link to Forbes’ sustainability trends. Structure content with bullet points and headings for easy parsing.E-Commerce Example:Optimize a product page for “best eco-friendly notebooks” with FAQs and stats like “Reduces paper waste by 40% (2025 Green Study).” X Insight: “Perplexity cited my blog after I added FAQs and citations. GEO is a must for AI search! #ContentStrategy”Google Gemini: Search Powerhouse Gemini (formerly Bard) taps Google’s massive search infrastructure, making it ideal for queries needing fresh data, like “top tech gadgets 2025.” Key Capabilities:Native Google Search integration for real-time info. Connects with Google’s ecosystem (Gmail, Maps, YouTube). Prioritizes recently updated, SEO-optimized content. Large context window for processing complex queries.GEO Tips for Gemini:**Combine SEO **(keywords like “best gadgets 2025”) with GEO (clear answers, e.g., “Our smartwatch offers 7-day battery life”). Update blogs regularly, e.g., “Top Tech Gifts for 2025 (yourblog.com/tech-gifts-2025).” Use Product schema to highlight e-commerce items (price, reviews). More info you can find here. E-Commerce Example: For a smartwatch store, optimize product pages with keywords and a blog post like “Why [Brand] Smartwatches Lead in 2025.” X Insight: “Gemini loves fresh content. Updated my tech blog, and it’s now in AI answers! #SEOandGEO”How This Impacts Content Strategy Knowing how each model accesses the web helps shape your content visibility strategy: Want to show up in AI summaries? Focus on platforms like Perplexity, Gemini, and Bing Copilot, which actively pull live data from websites. Want to future-proof your site? Structure your content with clear answers, bullet points, FAQs, and authoritative tone. This supports both SEO and GEO strategies. Want your brand in AI chats? Optimize for AI readability, not just keywords—write as if you're answering a real person. The Future of AI Search User Adoption and Behavior Statistics. In 2023, around 13 million U.S. adults used AI for search, expected to grow to 90 million by 2027. AI-generated overviews appear in 47% of Google search results, with 60% of searches completed without clicking through to other sites. Generative AI search is especially popular among Gen Z, who perform up to 31% of their searches on AI platforms like ChatGPT AI search is evolving fast. What next?Smarter Sources: Models will better evaluate reliability, favoring authoritative sites. **Faster Access: **Reduced latency for real-time answers. Voice and Visuals: Optimization for voice AI (e.g., Siri) and AI-generated images is next.“The game has shifted from link-building to voice-building. AI doesn’t need hyperlinks to understand authority, it reads context like humans do. Your digital footprint is now measured by who’s talking about you, not just linking to you. The secret? Being genuinely quotable beats being technically optimized. While everyone is creating AI slop, the winners will be those brave enough to stand out with original insights, unique opinions and bold perspectives. This isn’t just a shift in search; it’s a return to what actually matters: saying something worth repeating!” Britney Muller (AI Consultant, SEO Expert)How AI search works and how they affect Brand visibility - Conclusion Not all AI models browse the web, but those that do are shaping the future of search. If you create online content, understanding how AI accesses and uses web data is essential to getting noticed and cited. Choose the right AI tool based on your needs—whether you require up-to-date facts, reliable summaries, or real-time insights. Don’t fall behind in the evolving digital landscape. Tools like AIBrandScan simplify tracking your brand’s score in AI-driven search results and help you improve your visibility and influence in AI-powered search engines. Got questions about GEO - AI SEO for your e-commerce store or blog? Write to us hi@aibrandscan.com!
- 24 Jun, 2025
Challenges of Brand Visibility in AI Search and How to Overcome Them. What to check?
In today’s digital landscape, AI-powered search engines like ChatGPT, Perplexity, or Gemini Overviews are redefining how brands appear online. Unlike traditional search, AI prioritizes conversational, structured, and authoritative content, leaving many businesses struggling with visibility. This article explores the top challenges brands face in AI search, shares real-world examples from users, and provides actionable strategies to improve your presence. Whether you’re mastering Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO), this guide will help you rise above the noise. Step 1. Content Invisibility to AI Crawlers The Challenge: AI models often miss dynamic content—think JavaScript-loaded product details or interactive widgets—if it’s not in raw HTML. This renders your best features invisible, costing you mentions in AI responses. **X Example: **X user @TechTrendz22 posted, “Our new app’s features vanish in AI search! All our cool demos load via JS, and ChatGPT skips us. Help!” (June 2025).The Fix:Embed key info (benefits, products, services) directly in HTML. Use static text alongside dynamic elements to ensure AI crawlers see your content. Test visibility with tools like “View Page Source” to confirm what AI detects. Lack of Structured Data and Hierarchy**The Challenge: **Without clear headings (H1, H2, H3) and schema markup (e.g., FAQ, Product, How-To), AI struggles to grasp your context, sidelining your site for less relevant results. **X Example: **@SEO_GuruLiz tweeted, “My client’s blog has no H2s or schema—Perplexity ignores it for ‘best skincare tips’! Total invisibility. #AISEO” (May 2025).The Fix:Organize content with H1 for titles, H2/H3 for sections. Add schema markup via JSON-LD to signal key entities (e.g., “brand,” “product”). Craft concise, scannable lists and tables for AI-friendly digestion.Step 2. Weak External Credibility and Brand Mentions **The Challenge: **AI cross-references sources for trust. Low backlinks, minimal mentions in news or forums, and no Wikipedia presence make your brand less credible, dropping you from AI results. **X Example: **@SmallBizBeth shared, “Why does AI only cite big brands? No links or news mention us, so we’re ghosted in AI Overviews. Frustrating!” (April 2025).The Fix:Earn backlinks from authoritative sites (e.g., industry blogs, news outlets). Pitch guest posts or PR campaigns to boost mentions. Monitor and encourage positive reviews to build trust signals.Step 3. Missing Conversational, Long-Tail Queries **The Challenge: **AI favors natural, question-based searches like “best budget laptops for students” over generic keywords like “laptops.” Unoptimized content misses these opportunities. X Example:@MarketMavenX posted, “Our ‘laptops’ page ranks in Google, but AI skips us for ‘best laptops under $500.’ What gives? #AIsearch” (June 2025).The Fix:Research long-tail queries via tools like Answer ThePublic or Google Trends.Create FAQ pages or blog posts targeting “How does [brand] compare to [competitor]?” Write in a conversational tone to match user intent.Step 4. Low Authority and Trust Signals **The Challenge: **Expertise, Authority, and Trustworthiness (E-E-A-T) drive AI rankings. Small or new brands without a strong digital footprint lose to established players. **X Example: **@StartupSam7 vented, “We’re experts, but AI picks big names for ‘top CRM tools.’ No trust signals, no love. #BrandVisibility” (March 2025).The Fix:Publish expert-led content (e.g., guides by your team’s specialists). Showcase credentials, awards, or certifications on your site. Build a consistent social media presence to amplify authority. If you need more information, take a look hereStep 5. Inconsistent Brand Across Platforms **The Challenge: **Mismatched messaging—old data on sites, negative forum chatter, or inconsistent social profiles—confuses AI, skewing how it represents your brand. **X Example: **@BrandBossKate wrote, “AI cited an old review saying we’re ‘overpriced.’ Our site’s updated, but X and forums aren’t. Mess! #AIissues” (May 2025).The Fix:Audit and update info on your site, socials, and directories (e.g., Google Business Profile). Respond to reviews and forums to shape a positive narrative. Align messaging across all channels for a unified story.Step 6. Trouble Tracking AI Visibility **The Challenge: **AI delivers curated, conversational replies, not ranked links, stumping traditional SEO tools. Brands struggle to measure mentions or visibility across models. **X Example: **@AnalyticsNerd tweeted, “I query ChatGPT, Gemini daily for our brand—zero mentions! No tool tracks this. Lost in AI. #Visibility” (June 2025).The Fix:Manually query (prompt) AI tools (e.g., “best [your niche] products”) and log results. Use emerging GEO tools to track AI share of voice. Partner with apps like ours to monitor and analyze visibility trends.Step 7. Overshadowed by Big Brands The Challenge: Studies show top-quartile brands (by web mentions) get 10X more AI mentions than smaller players, creating a “winner-takes-all” effect. X Example:@ToyStoreTom lamented, “Fisher-Price dominates AI for ‘best toddler toys,’ we’re nowhere. Too small, too quiet! #AIsearch” (May 2025).The Fix:Boost brand awareness with targeted ads or influencer collabs. Focus on niche, specific queries where big brands lack depth. Build a steady stream of content to climb mentioned frequency.Step 8. Unoptimized for Multimodal AI The Challenge: AI now processes images, videos, and audio, but untagged media (no alt text, no transcripts) limits visibility in rich responses. **X Example: **@FashionFwdCo shared, “Our runway pics look great, but AI skips them—no alt text, no video captions. Invisible! #MultimodalAI” (April 2025).The Fix:Add descriptive alt text to images (e.g., “Brand X durable hiking boots”). Include transcripts for videos and podcasts. Optimize multimedia to align with text content for cohesive signals.Step 9. Risk of AI Misinformation **The Challenge: **AI can hallucinate or misattribute details, citing wrong features or outdated info from forums, harming your reputation. X Example:@GadgetGal99 posted, “AI said our headphones ‘lack bass’ based on an old post. Not true now! How to fix? #AIhallucination” (June 2025).The Fix:Feed AI accurate, fresh content on your site. Monitor AI outputs and correct errors via updated content or outreach. Strengthen your site’s authority to outweigh fringe sources.Why This Matters for Your Brand AI search is the future, and invisibility means lost customers. In recent years, customer search behavior has fundamentally changed, moving from typing keywords into Google to posing complex, conversational questions to AI assistants. This shift is driven by a demand for instant, synthesized answers rather than a list of links to sort through. As a result, search queries are now longer and more natural, often combining multiple requests into a single conversational prompt. A significant portion of consumers, particularly younger demographics, now begin their product discovery and research directly on AI platforms. This forces businesses to pivot from a keyword-centric strategy to creating clear, authoritative content that AI models can easily understand and use to provide direct answers. Line chart showing the shift in customer search behavior from 2018 to 2025. Two lines are plotted: one for keyword-based search, which declines from 90% in 2018 to 30% in 2025, and one for conversational AI-assisted search, which rises from 10% in 2018 to 70% in 2025. The chart illustrates a clear trend toward more natural, conversational queries handled by AI platforms. By tackling these challenges, you can climb AI rankings, drive traffic, and grow. Tools like our brand visibility app help—monitoring your presence across AI models, pinpointing gaps, and guiding fixes to dominate results. Ready to Boost Your AI Visibility? Start with structured data, target long-tail queries, and build authority. Contact us to track and optimize your brand’s AI search performance today! FAQ What are long-tail queries and why do they matter for AI search? Long-tail queries are specific, often question-based searches like “best CRM for small startups.” AI models prioritize these natural-language questions, so optimizing content to match them increases your chances of being cited in AI answers. What does E-E-A-T mean in SEO? E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It’s a framework used by Google and other AIs to determine content credibility. Demonstrating E-E-A-T boosts your brand’s visibility in AI-generated responses. How does structured data help with AI visibility? Structured data, such as schema markup (e.g., FAQ, Product, How-To), helps AI understand your content’s context. It also improves eligibility for rich results in search engines.Can AI models detect dynamic or JavaScript-loaded content? Most AI crawlers struggle with JavaScript-rendered content. Important information should be included in the raw HTML to ensure it’s visible to AI models like ChatGPT and Perplexity. How can I fix AI misinformation about my brand? Monitor how AI tools describe your brand and update your site content regularly. Reach out to correct misinformation and improve authority with high-quality, accurate content. More detailed info you can find in this article.