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The search landscape is undergoing one of the biggest transformations in digital history. Traditional search engines are no longer the only gateways to online discovery. Today, AI-powered ecosystems such as OpenAI’s ChatGPT, Google, Claude, and Google AI Overviews are rapidly changing how users search for information, discover brands, and make decisions online.
Instead of simply displaying a list of blue links, AI-driven systems now generate direct answers, recommendations, summaries, and conversational responses. Users are increasingly relying on AI-generated suggestions to discover local businesses, products, entertainment venues, and service providers. This shift has fundamentally altered how businesses need to approach digital visibility.
Traditional SEO strategies focused heavily on rankings, backlinks, and keyword positioning. While those factors still matter, they are no longer sufficient in the era of AI search. Modern AI engines evaluate content differently. They prioritize semantic understanding, contextual authority, entity recognition, structured data, and conversational relevance when generating responses.
This evolution has given rise to a new discipline known as Answer Engine Optimization (AEO). AEO focuses on optimizing content and digital assets so businesses can appear directly inside AI-generated answers across conversational search platforms. Instead of merely competing for search rankings, brands now compete to become the trusted source AI systems reference when answering user queries.
ThatWare has emerged as one of the pioneers in this AI-first optimization landscape. Known for its advanced methodologies surrounding AI SEO, semantic engineering, LLM SEO, GEO, and AEO, ThatWare leverages intelligent search frameworks designed specifically for modern AI ecosystems. Their approach goes beyond conventional optimization by focusing on how AI systems interpret entities, relationships, trust signals, and contextual relevance.
A powerful example of this strategy can be seen in the success achieved for Altitude Trampoline Park. Through a comprehensive AEO-driven campaign, ThatWare successfully improved the brand’s visibility across multiple AI search environments including ChatGPT, Gemini, Claude, and Google AI Overviews. As a result, the business began appearing prominently for highly valuable searches related to trampoline parks, birthday party venues, and family entertainment in California and San Dimas.
Project Overview
About Altitude Trampoline Park
Altitude Trampoline Park operates in the growing indoor entertainment and recreational activities industry. The brand provides a wide range of attractions including wall-to-wall trampolines, foam pits, dodgeball arenas, ninja courses, basketball dunk zones, and party experiences designed for families, children, teenagers, and group events.
The trampoline park industry has become increasingly competitive over the years as consumers seek engaging indoor entertainment options for birthdays, celebrations, fitness activities, and recreational outings. Businesses operating in this space depend heavily on local visibility because customers typically search for nearby entertainment destinations within their city or surrounding region.
For Altitude Trampoline Park, geographical relevance played a crucial role. Locations such as San Dimas represented highly important local markets where consumers frequently searched for trampoline parks, birthday party venues, and indoor family entertainment activities.
In today’s AI-driven search environment, local businesses can no longer rely solely on traditional search rankings. AI platforms now provide users with instant recommendations, curated lists, and summarized local suggestions. For entertainment brands like Altitude Trampoline Park, appearing within these AI-generated recommendations became essential for increasing brand awareness, local authority, and customer acquisition.
Business Objective
The primary objective of the campaign was to significantly improve AI search visibility for Altitude Trampoline Park across modern conversational search systems.
The business wanted to ensure that its locations and services appeared prominently when users searched through AI platforms such as ChatGPT, Gemini, Claude, and Google AI Overviews. Rather than depending entirely on conventional search engine rankings, the goal was to establish strong presence inside AI-generated recommendations and answer-based search experiences.
The campaign focused heavily on dominating AI search queries related to:
- Best trampoline parks
- Birthday party trampoline venues
- Indoor family entertainment destinations
- Jump parks in California
- Trampoline parks in San Dimas
- Local entertainment recommendations
The objective was not simply to increase traffic, but to position Altitude Trampoline Park as an authoritative and trusted entity that AI systems would confidently recommend to users seeking entertainment-related suggestions.
By improving AI visibility, the business aimed to strengthen local discoverability, increase brand trust, and drive more high-intent visitors searching for entertainment experiences and birthday party venues.
Immediate Challenges
Before the implementation of ThatWare’s AEO strategy, Altitude Trampoline Park faced several significant challenges in the evolving AI search landscape.
One of the biggest issues was the complete lack of visibility for AI-driven searches. Although the business may have had some traditional online presence, it was not being surfaced prominently by conversational AI systems. As user behavior shifted toward AI-generated discovery, this created a major visibility gap.
The website also lacked optimization for conversational and AI-based search queries. Modern users increasingly search using natural language phrases such as:
- “Best trampoline parks in San Dimas”
- “Good trampoline parks for birthday parties in California”
- “Indoor trampoline parks near me”
- “Top jump parks for kids and families”
Without conversational optimization, AI systems struggled to interpret the website as a highly relevant recommendation source.
Another major challenge was the absence of structured AI-friendly content. The website lacked sufficient semantic optimization, contextual hierarchy, schema implementation, and answer-focused content frameworks that AI systems rely upon during information retrieval and response generation.
Additionally, entity recognition across AI ecosystems remained weak. AI systems prioritize recognized entities supported by contextual relationships, authority signals, and semantic consistency. Since the business lacked strong entity-based optimization, its visibility within AI-generated responses remained limited.
As a result, the business had little to no meaningful presence across major AI-driven discovery platforms including:
- ChatGPT recommendations
- Gemini-generated suggestions
- Claude AI responses
- Google AI Overviews
This significantly limited the brand’s ability to capitalize on emerging AI search trends and reduced its competitive advantage within local entertainment searches.
Understanding the Shift from SEO to AEO
What is Answer Engine Optimization (AEO)?
Answer Engine Optimization (AEO) represents the next evolution of search optimization. While traditional SEO primarily focused on improving rankings within search engine result pages, AEO focuses on optimizing content for AI-generated answers and conversational search environments.
In conventional SEO, businesses competed for clicks through keyword rankings and organic search visibility. However, AI-powered systems now generate direct responses by synthesizing information from multiple trusted sources. Instead of presenting ten blue links, AI engines provide summarized recommendations and contextual answers.
This changes the optimization process entirely.
AEO involves structuring content so AI systems can easily understand, retrieve, summarize, and recommend information during conversational interactions. This includes optimizing semantic relationships, entity associations, topical authority, structured data, FAQs, and conversational content formats.
Semantic relevance plays a particularly important role in AEO. AI systems analyze how concepts, entities, and topics relate to one another rather than relying only on exact-match keywords. Businesses that demonstrate strong contextual authority are more likely to appear in AI-generated recommendations.
Entity authority is equally critical. AI systems attempt to identify trusted brands, businesses, locations, and organizations as entities within their knowledge ecosystems. Strong entity optimization increases the probability of being referenced within AI-generated answers.
Why Businesses Need AI Search Visibility
The rise of conversational search has dramatically changed online consumer behavior. Users now interact with AI systems in a more natural and intuitive manner, asking detailed questions rather than typing short keyword phrases.
For example, instead of searching “trampoline park California,” users may ask:
- “What are the best trampoline parks in California for birthday parties?”
- “Suggest indoor trampoline parks near San Dimas for kids.”
- “Which trampoline park has ninja courses and party packages?”
AI systems generate personalized responses based on contextual understanding and trusted sources. Businesses that fail to optimize for these environments risk becoming invisible during the discovery process.
AI-generated recommendations are increasingly influencing customer decisions because users perceive conversational AI responses as more curated and trustworthy. When an AI engine directly recommends a business, it creates a stronger impression of authority and credibility.
The future of online discovery is moving rapidly toward AI-assisted experiences across LLM platforms, voice assistants, AI overviews, and conversational interfaces. Brands that adapt early to AEO strategies gain a major competitive advantage in this evolving ecosystem.
The Importance of Entity-Based Search
AI search systems operate heavily on entity understanding. Rather than simply indexing pages based on keywords, AI engines attempt to identify real-world entities and understand how they connect to locations, services, industries, and topics.
For businesses like Altitude Trampoline Park, entity optimization became essential for improving AI discoverability.
AI systems evaluate whether a business is contextually relevant to queries related to:
- trampoline parks
- birthday entertainment
- family recreation
- indoor attractions
- local entertainment destinations
Contextual authority matters because AI engines prioritize brands that consistently demonstrate topical expertise and relevance across multiple sources.
Local relevance is especially important for AI search. Queries involving cities, neighborhoods, and regional recommendations rely heavily on geo-contextual entity recognition. By strengthening Altitude Trampoline Park’s semantic association with San Dimas and California entertainment searches, ThatWare improved the likelihood of the business appearing inside AI-generated recommendations.
ThatWare’s AEO Strategy for Altitude Trampoline Park
Search Intent & User Behavior Analysis
ThatWare began the campaign by analyzing user behavior patterns and understanding how consumers interact with AI-powered search systems.
The strategy focused heavily on the 3C’s of search intent:
- Content
- Type
- Format
This framework helped determine what kind of information users were searching for, how they phrased conversational queries, and what format AI systems preferred when generating responses.
Conversational query analysis played a major role in identifying high-intent search patterns related to entertainment, trampoline parks, birthday venues, and local recreational activities.
AI Tool Keyword Research
Extensive keyword research was conducted specifically for AI-driven search environments.
ThatWare identified high-value conversational queries such as:
- “Best trampoline parks in San Dimas”
- “Trampoline parks for birthday parties in California”
- “Indoor trampoline parks in California”
The campaign emphasized long-tail conversational keywords because AI systems frequently process natural language searches instead of short keyword combinations.
This research helped align the website with real-world conversational behavior across AI platforms.
Creation of SEO-Optimized AI-Friendly Content
ThatWare developed SEO-optimized blog content designed specifically for AI readability and conversational retrieval.
The content strategy focused on:
- Informational relevance
- Conversational formatting
- Semantic optimization
- Natural language structure
The goal was to ensure that AI engines could easily interpret and extract meaningful answers from the content.
AI-readable formatting improved content accessibility for answer engines and increased the likelihood of being referenced within generated responses.
Development of AI Tool Landing Pages
Dedicated landing pages were created to match specific search intents and AI query categories.
These pages incorporated:
- Structured content hierarchy
- Schema markup
- Geo-targeted optimization
- Semantic organization
Special focus was placed on California and San Dimas searches to improve local AI discoverability.
Structured data implementation helped AI systems better understand the business offerings, location relevance, and contextual relationships.
Internal Linking & Semantic Architecture
ThatWare strengthened the site’s semantic architecture through strategic internal linking.
This approach reinforced important entity relationships while improving contextual relevance across content clusters.
Internal linking also helped AI systems understand topical depth and content hierarchy more effectively.
FAQ Optimization for AI Retrieval
FAQ sections were created based on real user search behavior and conversational query patterns.
The FAQs were optimized using natural language structures that aligned closely with how users interact with AI systems.
This improved answer extraction capabilities and increased the chances of appearing in conversational AI responses.
Visual Content & Comparison Tables
Visual assets and comparison tables were introduced to improve informational clarity and AI interpretability.
Structured comparisons made it easier for AI systems to process and summarize information related to trampoline park offerings, attractions, and entertainment features.
Authority Building Through Backlinks
To strengthen overall authority, ThatWare acquired backlinks pointing toward key AI overview pages and informational assets.
This helped improve:
- Topical authority
- Trust signals
- Semantic credibility
- AI confidence levels
As authority increased, AI systems became more likely to reference Altitude Trampoline Park within generated recommendations.
ThatWare AI Search Implementation
Below is exactly how ThatWare deployed AI search infrastructure across the system — with code and meaning together in real-time structure.
AI Interpretation Layer
How ThatWare implemented it
ThatWare placed this file to explicitly override how AI crawlers interpret the page. Instead of treating it like generic SEO content, we defined it as a real-world experiential entity with structured intent mapping.
We also added query intent clustering so LLMs understand when to trigger this page (especially “near me” searches).
Result
- Improved entity recognition accuracy in LLM-based search systems
- Stronger matching for local intent queries like “trampoline park near me”
- Reduced ambiguity in AI classification (service vs experience entity)
Generative Engine Routing
How ThatWare implemented it
We structured llms.txt to act as a routing guide for LLMs, ensuring generative engines don’t just retrieve text but understand what the business does.
We explicitly defined the entity hierarchy so AI systems can break down the experience into functional components (jump zones, parties, group bookings).
Result
- Better inclusion in AI-generated answers for “things to do near me”
- Higher contextual relevance in conversational search engines
- Improved mapping between query intent → business offering
Knowledge Graph Layer
How ThatWare implemented it
We built this as a machine-readable semantic identity file. The goal was to convert the business into a structured node that AI systems can store inside a knowledge graph.
We mapped:
- services → experiences
- intent → user journey stages
- geo context → local search activation
Result
- Stronger entity graph association in AI systems
- Improved semantic clustering for local entertainment queries
- Enhanced recognition as a location-based experience business
Embedding Optimization Layer
]
How ThatWare implemented it
This file was designed for vector-based retrieval systems (RAG pipelines + embeddings).
We assigned weight signals to key user intents so AI models prioritize this page when embedding queries like:
- “kids activities near me”
- “trampoline park birthday party”
We also locked entity + location context to prevent semantic dilution.
Result
- Higher ranking in embedding-based search systems
- Better retrieval in RAG-powered AI assistants
- Increased precision in “near me” query matching
AI Crawl Intelligence Layer
How ThatWare implemented it
Instead of a normal sitemap, we created a meaning-first sitemap. Each URL carries:
- entity identity
- intent type
- experience relationships
This helps AI systems understand what happens after a user lands on the page.
Result
- Improved crawl-to-intent mapping
- Stronger internal understanding of site structure by AI systems
- Better downstream recommendation accuracy
Final Business Outcome
After deploying this AI infrastructure on the Altitude Trampoline Park San Dimas page, ThatWare achieved:
- Higher visibility in AI-generated local recommendations
- Better ranking consistency for “trampoline park near me” queries
- Stronger entity association in generative search systems
- Improved retrieval accuracy in LLM-based assistants
- More stable performance in intent-driven search environments
Results Achieved Through AEO Implementation
ChatGPT Visibility Improvements
One of the most significant achievements of the campaign was the improved visibility inside ChatGPT-generated recommendations.
For the query:
“Best trampoline parks in San Dimas”
Altitude Trampoline Park appeared in the first position within ChatGPT’s recommendations.
This visibility is highly valuable because AI-generated recommendations strongly influence user trust and decision-making behavior. Being featured at the top position increased brand credibility and improved local discoverability among users searching for entertainment options in San Dimas.
Another major success occurred for the query:
“Trampoline parks for birthday parties in California”
For this search, Altitude Trampoline Park achieved second-position visibility inside ChatGPT-generated responses.
This improved the business’s reach among families and parents searching for birthday party venues and indoor entertainment experiences across California.
Claude AI Visibility Improvements
Query: “Top trampoline park places in California”
One of the major milestones achieved during the campaign was improving the visibility of Altitude Trampoline Park within Claude-generated search responses. For the query:
“Top trampoline park places in California”
The business successfully appeared in the 5th position inside Claude AI recommendations.
This result demonstrated ThatWare’s ability to optimize not only for traditional search engines but also for advanced conversational AI ecosystems that rely heavily on contextual understanding and semantic relationships. Claude AI generated a curated list of trampoline parks across California, and Altitude Trampoline Park was included alongside several well-established entertainment brands operating in the industry.
The visibility improvement significantly enhanced the brand’s statewide AI search presence. Instead of being limited to localized searches, the business began appearing within broader California-wide entertainment recommendations. This increased exposure helped strengthen brand awareness among users searching for family entertainment options across the state.
The inclusion also represented an important competitive achievement. The trampoline entertainment industry includes several nationally recognized brands and franchise-based operators. By securing visibility among these larger competitors, Altitude Trampoline Park strengthened its authority within the AI search ecosystem.
AI-driven recommendations are becoming increasingly influential in consumer decision-making. When conversational AI systems mention a business within a curated list of recommended options, users are more likely to perceive that business as trustworthy, credible, and relevant. This type of exposure goes beyond traditional rankings because AI-generated suggestions often act as direct endorsements within the customer journey.
The Claude visibility improvement further validated ThatWare’s AEO strategy focused on semantic authority, entity optimization, conversational content, and contextual relevance.
Gemini AI Visibility Improvements
Query: “Top jump trampoline parks present in San Dimas”
Another major success achieved through ThatWare’s AEO implementation was the visibility improvement inside Google.
For the search query:
“Top jump trampoline parks present in San Dimas”
Altitude Trampoline Park secured the first position within Gemini-generated answers.
This was a particularly significant achievement because Gemini generated a highly detailed local recommendation identifying Altitude Trampoline Park as the primary trampoline park destination in San Dimas.
The AI-generated response highlighted several important business details, including:
- Location information
- Trampoline attractions
- Ninja warrior courses
- Dodgeball courts
- Party packages
- Family-friendly experiences
Securing the first position in Gemini established strong local dominance within AI-generated search results. Users searching for entertainment activities in San Dimas were directly exposed to Altitude Trampoline Park as the leading recommendation.
This type of AI visibility is extremely valuable because conversational AI systems often summarize only a limited number of businesses in their responses. Being positioned at the top increases the likelihood of user engagement, trust, and eventual customer conversion.
Additionally, the Gemini visibility strengthened the business’s semantic association with local entertainment-related searches. AI systems rely heavily on contextual relevance and entity recognition, and the campaign successfully reinforced Altitude Trampoline Park’s identity as a trusted trampoline and family entertainment entity within the San Dimas region.
Query: “Suggest indoor trampoline parks present in California”
ThatWare also improved Gemini visibility for broader statewide entertainment searches.
For the query:
“Suggest indoor trampoline parks present in California”
Altitude Trampoline Park achieved fifth-position visibility inside Gemini-generated recommendations.
This result expanded the business’s reach beyond hyperlocal searches and improved discoverability across California-wide trampoline and indoor entertainment queries.
Gemini’s generated response included various trampoline park brands operating throughout California, and Altitude Trampoline Park was recognized among major competitors in the industry. This broader exposure helped reinforce the business’s authority not just within San Dimas, but also across the larger California entertainment ecosystem.
The visibility improvement demonstrated the effectiveness of ThatWare’s geo-targeted optimization strategy. By strengthening entity relationships between the brand, its services, and California-based entertainment searches, the campaign successfully improved statewide AI discoverability.
Broader AI exposure also creates long-term branding benefits. Even when users are not actively searching for a specific business, repeated visibility inside AI-generated responses helps build familiarity, trust, and brand recall over time.
As conversational AI continues becoming a primary discovery channel, this type of statewide AI visibility will play an increasingly important role in customer acquisition and market positioning.
Google AI Overview Visibility
Query: “Trampoline parks in San Dimas”
One of the most impactful results of the campaign was the successful appearance of Altitude Trampoline Park inside Google AI Overviews.
For the query:
“Trampoline parks in San Dimas”
Google AI Overview generated a summary highlighting Altitude Trampoline Park as a major trampoline destination in the area.
The AI-generated summary referenced several attractions associated with the business, including:
- Wall-to-wall trampolines
- Foam pits
- Ninja courses
- Basketball hoops
- Family entertainment experiences
- Party packages
Appearing inside Google AI Overview is particularly valuable because these AI-generated summaries occupy highly visible positions within search results. Instead of users browsing through multiple organic listings, they are immediately presented with summarized business recommendations and key information.
This visibility can significantly improve user trust and click-through potential. AI-generated overviews create the perception that the business has been contextually validated by Google’s AI systems. As a result, users may be more likely to visit the website, explore offerings, or make purchasing decisions.
Additionally, AI Overview inclusion increases brand authority because it positions the business within Google’s synthesized search intelligence rather than relying solely on standard ranking positions.
Query: “Best sky zone jump place in San Dimas”
Another important success was achieved for the query:
“Best sky zone jump place in San Dimas”
Although the search referenced a competing trampoline brand, Google AI Overview still recommended Altitude Trampoline Park as the closest and most relevant trampoline entertainment option in the area.
This demonstrates the importance of contextual entity recognition in modern AI search systems.
Google’s AI systems evaluated:
- Geographic relevance
- Entertainment offerings
- User intent
- Contextual similarity
- Local authority
As a result, Altitude Trampoline Park was surfaced as the most suitable recommendation despite the branded nature of the search query.
This type of contextual recommendation highlights how AI search differs from traditional keyword-based ranking systems. AI engines focus more on relevance, user satisfaction, and semantic relationships rather than exact-match keyword optimization alone.
For businesses, this creates major opportunities to capture visibility beyond conventional branded search boundaries. Strong entity optimization and contextual authority allow businesses to appear in related searches, comparative queries, and recommendation-based AI responses.
The campaign successfully strengthened Altitude Trampoline Park’s contextual authority within the trampoline entertainment ecosystem, allowing the business to gain visibility across a wider range of conversational search experiences.
Why These Results Matter for Modern Businesses
AI Visibility is the New Digital Real Estate
The digital search ecosystem is rapidly evolving from ranking-based discovery toward recommendation-based discovery.
Traditional SEO focused primarily on achieving high positions within search engine result pages. However, AI-powered systems now generate summarized recommendations, conversational responses, and curated business suggestions directly inside search experiences.
This means that visibility inside AI-generated answers is becoming the new form of digital real estate.
Businesses that appear within AI-generated responses gain a significant advantage because users increasingly interact with conversational recommendations rather than manually exploring multiple websites.
AI-powered consumer journeys are becoming more common across:
- ChatGPT
- Gemini
- Claude
- Google AI Overviews
- Voice assistants
- Conversational search tools
As these systems continue shaping online discovery, businesses that fail to optimize for AI visibility risk losing market relevance and discoverability.
Competitive Advantage Through AEO
AEO provides businesses with an important first-mover advantage in the rapidly growing AI search landscape.
Many companies are still relying entirely on traditional SEO strategies while conversational AI systems continue reshaping how information is discovered online. Businesses that adopt AEO early can establish stronger visibility before AI search competition becomes saturated.
ThatWare’s implementation strategy helped improve:
- Semantic authority
- Contextual relevance
- Entity recognition
- AI trust signals
- Conversational search optimization
These improvements increased the probability of AI systems referencing Altitude Trampoline Park within generated recommendations.
Higher visibility inside AI-generated responses also creates stronger user trust. When businesses are recommended directly by AI systems, users often perceive them as more authoritative and credible.
This trust factor can significantly influence consumer decisions, especially for local businesses competing in crowded markets.
Local Businesses and the AI Search Revolution
Local businesses are among the biggest beneficiaries of AI search optimization.
Users frequently rely on AI systems for localized recommendations involving:
- Restaurants
- Entertainment venues
- Healthcare providers
- Service businesses
- Recreational activities
- Family attractions
AI engines prioritize businesses that demonstrate strong local relevance, entity authority, and contextual optimization.
For local entertainment brands like Altitude Trampoline Park, hyperlocal AI discoverability became essential for improving customer acquisition and market visibility.
By optimizing for conversational local searches, ThatWare successfully strengthened the business’s presence across multiple AI ecosystems.
As AI-powered search continues evolving, businesses that invest in local AEO strategies will gain stronger positioning within next-generation discovery environments.
Key Takeaways from This Case Study
This case study highlights several important lessons about the future of digital visibility and AI-powered discovery.
One of the biggest takeaways is that AEO is quickly becoming essential for businesses operating in competitive industries. Traditional SEO alone is no longer sufficient in an environment where AI systems generate direct recommendations and conversational answers.
The campaign also demonstrated the importance of structured and AI-friendly content. Semantic organization, conversational formatting, schema implementation, and contextual hierarchy all contributed to improved AI visibility.
Another major insight is that entity authority strongly influences AI-generated recommendations. Businesses that establish strong contextual relationships and topical relevance are more likely to appear inside conversational search responses.
Conversational optimization also plays a crucial role in modern search visibility. AI systems increasingly process natural language queries, making long-tail conversational targeting more important than ever.
Most importantly, the case study proves that AI search visibility directly impacts brand discovery, customer trust, and competitive positioning within emerging digital ecosystems.
Conclusion
Before partnering with ThatWare, Altitude Trampoline Park faced major challenges in gaining visibility across modern AI-driven search platforms. The business lacked optimization for conversational search, entity authority, and AI-generated discovery environments.
ThatWare implemented a comprehensive AEO strategy focused on:
- Conversational keyword targeting
- Semantic optimization
- Structured AI-friendly content
- Geo-targeted landing pages
- Entity reinforcement
- FAQ optimization
- Internal linking
- Authority building
As a result, the business achieved strong visibility across:
- ChatGPT
- Gemini
- Claude
- Google AI Overviews
The campaign successfully improved local discoverability, statewide AI presence, and contextual authority for trampoline park-related searches in California and San Dimas.
This case study clearly demonstrates that AI-driven search visibility is becoming one of the most important aspects of modern digital marketing. As conversational AI systems continue evolving, businesses must adapt their optimization strategies to remain discoverable within answer-based search ecosystems.
AEO represents the next major evolution of search optimization, and brands that invest early in AI visibility strategies will be better positioned to dominate the future of online discovery.
