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Generative Engine Optimization (GEO) Guide

Generative Engine Optimization (GEO) is transforming how brands show up in AI-powered search. Explore insights, strategies, and best practices to help your content rank and resonate across conversational engines like ChatGPT, Gemini, and Copilot.

Explore insights and strategies for Generative Engine Optimization (GEO) to help your brand stay visible and discoverable in AI-powered search.

Generative Engine Optimization (GEO) Blog Collection | Meltwater

Media monitoring helps organizations stay informed about what’s being said across online news, print, broadcast, podcasts, and other media channels. Whether you're tracking brand mentions, measuring PR performance, monitoring competitors, or identifying emerging trends, our expert guides, best practices, and industry insights will help you build a smarter media monitoring strategy and make more informed communications decisions.

Discover expert media monitoring guides, best practices, and industry insights to track brand mentions, monitor competitors, and stay ahead of the news.

Media Monitoring: Guides, Best Practices & Industry Insights

Every day billions of conversations take place on social media: tweets, posts, comments, blogs, reviews, podcasts, and much more.

Learn how to use social listening to make sense of all of that data.

On our social listening category page, you find all our blogs covering topics around social listening and social media monitoring. Read more.

Social Listening Blogs | Category

Business Reputation Management: What does it take to add reputation management to your marketing strategy? More importantly, how do you keep your reputation sparkly and shiny? Here’s your all-access guide to online reputation management for the long term.

On our reputation management category page, you find all our blogs covering topics around business reputation management. Read more.

Reputation Management Blogs | Category

From your brand's logo to your website, your social media presence to your customer support—these elements combined are what constitutes a brand in the minds of customers. But, there are thousands of other businesses that have a logo, website, social media presence, and website. So, how can you position your business on the market and make it stand out from the competition?

The key to success is branding & brand management!

On our brand management category page, you find all our blogs covering topics around brand management. Build your strategy and reach your goals!

Brand Management Blogs | Category

Competitive intelligence and the act of collecting competitive data can be seen as growth drivers for a company. Our guide will help you understand the concept of competitive intelligence (CI) by answering questions such as: What is the definition of competitive intelligence? How is competitive intelligence useful to organizations? What is the goal of competitive intelligence? And more.

On our competitive intelligence category page, you find all our blogs covering topics around competitive intelligence. Learn how to stay ahead.

Competitive Intelligence Blogs | Category

Let’s dive into the customer journey framework and how to optimize the process by creating a customer journey map and using metrics that matter when analyzing the customer journey.

On our customer journey category page, you find all our blogs covering topics around mapping and understanding the customer journey.

Customer Journey Blogs | Category

How do customers interact with my newly launched product?

How do I increase the productivity of my employees?

How do I know if my marketing efforts are working?

We have just two words for you...Data analytics!

On our data analytics category page, you find all our blogs covering topics around AI and data analytics. Technical and still easy to understand.

AI & Data Analytics Blogs | Category

Public relations and media relations can add impact to any marketing strategy. It’s an opportunity for brands to grow their reach beyond traditional sales messages. PR helps to shape the image you want people to have of your brand.

So, what is PR and how do you use it? This guide shows you everything you need to know to build a strong public relations foundation.

On our public relations (PR) category page, you find all our blogs covering public relations and communications topics. Step up your PR game.

Public Relations (PR) Blogs | Category

We all know exactly what the roles of sales or accounting are in a company, right? We might even have a slight idea of what the IT guys are doing.

But there is another business discipline, that plays a crucial role in organizations, even more so during the pandemic – internal communications!

But what exactly do we mean by that, what purpose does it serve and what steps can you take to ensure you and your employees will communicate effectively?

On our internal communications category page, you find all our blogs about internal comms topics. Learn about the intranet, internal newsletters, and more.

Internal Communications Blogs | Category

As the internet has taken root in more areas of our lives — everything from entertainment to shopping to paying bills and more — traditional marketing is becoming less impactful. As any marketer knows, you need to focus on where your audience is if you want to reach them. Since the average person spends about seven hours a day online, it’s no surprise that content has maintained its hold on marketers.

Here's a closer look at what content marketing is and why it matters more than ever in our digital-first economy.

On our content marketing category page, you find blogs about content marketing topics. Learn about strategies, KPIs, tips, and more. Make your content king!

Content Marketing Blogs | Category

The rise of the influencer marketing space – today a $10 billion industry, growing 50% per year – is one of the clearest examples of how social media is transforming traditional marketing. These days having a business website, presence on social, PR coverage, and your own content isn’t enough to compete.

We'll dive into the intricacies of influencer marketing to help ensure that you're equipped with the insights needed to be successful in this space.

On our influencer marketing category page, you find blogs about influencer marketing topics. Build your strategy, find influencers, and measure results.

Influencer Marketing Blogs | Category

Have you just launched a new product or service that you want to get the word out about? Maybe you want to share with consumers why it is awesome and how it is so much better than the one your competitors offer.

Well, then, there is one thing you can't do without...Marketing!

On our marketing category page, you find blogs about marketing topics. Learn about all the different angles and types of marketing and improve your results.

Marketing Blogs | Category

Building a following and using social media platforms to reach a wider audience requires a well-planned social media marketing strategy. In this guide, we’ll be looking at why social media marketing is so essential and how you can make it work for your business.

On our social media marketing category page, you find blogs about social media marketing topics. Learn how to get the highest paid social ROI!

Social Media Marketing Blogs | Category

In the fast-evolving realm of digital marketing and public relations, utilizing the right tools is crucial for success. Our interdisciplinary category showcases all the pertinent tools for digital marketing & PR. These tools help in enhancing your online presence and effectively reaching target groups, whether through reputation management, influencer marketing, or social media management.

On our digital marketing and PR tools category page, you find all our blogs covering topics around mapping and understanding the customer journey.

Digital Marketing & PR Tools Blogs | Category

From media coverage and social conversations to audience insights and campaign performance, communications teams have access to more data than ever before. But collecting information is only the beginning. The real challenge is knowing what it means, what matters most, and how to respond with confidence.

Data-driven communications turns scattered signals into actionable insights. By using data to understand audiences, identify trends, measure impact, and guide decisions, communications teams can create more relevant strategies and demonstrate their value across the organization.

Learn how data-driven communications helps teams understand audiences, measure impact, identify trends, and turn media, social, and AI signals into action.

Data-Driven Communications: Insights & Strategies | Meltwater

Kim Cattrall takes the lead in a campaign celebrating the intelligence behind confident brand decisions.

Intelligence is always in style: Kim Cattrall stars in Meltwater’s new campaign

AI adoption is no longer the challenge—trusted context is. Most organizations have AI tools, but many still rely on disconnected, stale, or unverified data, limiting the quality and trustworthiness of AI-generated outputs. Meltwater MCP brings trusted, real-time intelligence into AI assistants.

Your Best Context is Already in the Room

See how one platform can power every decision across PR, communications, and marketing.

The Meltwater Blog

Blog Topics: Generative Engine Optimization, Media Intelligence, Media Relations, Social Listening, Consumer Intelligence, Influencer Marketing

Find out how you can leverage Facebook to boost your brand's online presence and gain a competitive edge. Explore the Meltwater category page today!

Facebook Blog | Meltwater

Find out how you can leverage Instagram to boost your brand's visual appeal and gain a competitive edge. Explore our category page today!

Instagram Blog | Meltwater

Find out how you can leverage LinkedIn to grow your professional network and gain a competitive edge. Explore the Meltwater category page today!

LinkedIn Blog | Meltwater

Find out how you can leverage TikTok to elevate your brand with creative content and gain a competitive edge. Explore the Meltwater category page today!

TikTok Blog | Meltwater

Find out how you can leverage X / Twitter to engage your audience effectively and gain a competitive edge. Explore the Meltwater category page today!

X / Twitter Blog | Meltwater

Find out how you can leverage YouTube to create engaging video content and gain a competitive edge. Explore the Meltwater category page today!

YouTube Blog | Meltwater

In the past, brand reputation developed slowly through word of mouth, media coverage, and customer experiences. Today, it is shaped much faster (and can change much faster), which is why AI in brand reputation is becoming more important. 

Everything from online reviews and social media chatter to forums and news stories influences how people perceive a brand. A single comment can spread to millions within minutes. Because information never stops flowing, businesses must pay closer attention to what people say about them online, how they're saying it, and at what speed.

Reputation management is no longer a side task handled in a public relations silo. It’s now a highly valued strategic responsibility that requires constant monitoring and quick responses when issues arise. 

Here’s how AI plays a role in brand reputation management and what it looks like in practice.

The Limits of Traditional Reputation Management

What AI Means for Brand Reputation Management

Challenges of Using AI for Reputation Management

The Future of AI in Reputation Management

Before digital platforms dominated PR, reputation management relied heavily on traditional public relations and media outreach. Teams had to manually monitor news coverage. These methods still matter, but they often can’t keep pace with how quickly information spreads online.

Manual monitoring takes time and effort, and any action taken is reactive and sometimes too late. Tracking sentiment across thousands of social media posts or customer reviews can also be difficult without the right tools doing it for you.

There’s also the matter of understanding what those conversations mean. Nuance and context matter. Human analysis can be inconsistent or subjective, especially when poring through tons of data. 

This growing complexity has created the need for better tools that can process large amounts of information quickly.

Artificial intelligence has become a powerful tool across many industries. Businesses now use AI for customer support, marketing insights, supply chain optimization, fraud detection, and cybersecurity.

These technologies work by analyzing large datasets and identifying patterns that humans might miss. Machine learning models improve as they process more information. Natural language processing allows systems to interpret written language and detect what those words really mean.

Because reputation management involves analyzing lots of online conversations, it is a natural area where AI can provide value.

AI reputation management uses artificial intelligence to monitor and analyze how people talk about a brand. Instead of relying only on manual monitoring, companies can track online conversations automatically.

These tools gather data from sources such as social media platforms, news outlets, blogs, forums, and review sites. AI analyzes the information to detect patterns, measure sentiment, and identify emerging topics.

This approach helps businesses understand public opinion more clearly and respond faster when issues appear.

Brand reputation management involves monitoring and influencing how people perceive a company and its products or services. Organizations track conversations, respond to customer feedback, and manage public communications, all to maintain a positive image.

A strong reputation builds trust. That trust can lead to greater customer loyalty, higher sales, and stronger investor confidence. It can even help with recruitment.

Because public opinion now spreads so quickly online, reputation management requires attentive and ongoing attention rather than occasional oversight.

AI streamlines reputation management by handling overwhelming and time-intensive tasks. It can process large volumes of online content and identify patterns in conversations about a brand.

Natural language processing helps systems interpret sentiment and detect emotions within text. AI tools can identify recurring topics, track trending discussions, and highlight why sudden changes in public opinion may be occurring.

These capabilities allow organizations to move from reactive responses to more proactive strategies. AI can deliver results in near real time, so brands always know what people are saying and how they’re saying it.

AI can help with reputation management in a number of practical ways. It can scan large amounts of online conversations, spot patterns in what people are saying, and flag potential issues early. Here are a few of the most common ways brands use AI tools like Meltwater's Mira to keep track of their reputation and respond when needed.

Sentiment analysis helps you get a clearer sense of how people feel about your brand. AI tools scan posts, reviews, and comments online and sort them by tone, usually positive, negative, or neutral.

Some tools go a step further and pick up on emotions like frustration, excitement, or disappointment. This makes it easier to see what people love about your brand and what might be causing problems.

AI can also keep an eye on conversations as they happen. If there’s a sudden spike in negative comments or people keep mentioning the same issue, the system can flag it right away. Teams get alerts so they can look into the situation quickly. Catching problems early often means you can address them before they turn into a full-blown PR headache.

Tip: read more about how AI helps with crisis comms, and how Mira accelerates PR workflows for speedy crisis resolution

If your brand allows comments, participates in or hosts a forum, or has a presence on review sites, you’ve probably dealt with spam or inappropriate posts. AI moderation tools help filter out things like offensive language, misinformation, or irrelevant content. That keeps your spaces cleaner and makes the experience better for people who want to have real conversations.

AI can also help brands respond to customers more thoughtfully. Chatbots and automated assistants can handle common questions and provide quick answers. You can also train them to pass more complicated issues to a human team member. 

Using data on past interactions, AI can also help tailor responses so customers feel like they’re getting a more personal experience.

Another useful feature is spotting potential problems early. AI can analyze patterns in customer feedback, reviews, and online conversations to identify warning signs. 

For example, if the same complaint keeps showing up in reviews, it might signal a larger issue. This kind of insight gives companies a chance to fix problems before they grow.

Tip: If you ever face a crisis, having a brand risk management strategy in place will be helpful.

AI tools can also track what people are saying about competitors. This helps brands see industry trends, notice gaps in the market, and understand what customers respond well to. 

Looking at how people talk about other companies can offer helpful context when you’re shaping your own strategy.

AI brings several practical advantages to reputation management. Automating monitoring and analysis helps teams stay informed about what people are saying online and react more quickly when issues arise. 

These benefits make it easier for brands to protect their image and respond to feedback in a timely way, especially with centralized tools like Meltwater’s Mira studio.

Faster monitoring and quicker response times

AI tools run nonstop and can scan thousands of online conversations in seconds. That means businesses can spot potential problems much earlier than they used to and jump in before things escalate. Automation also takes a lot of the manual monitoring off your team’s plate, so they can focus on responding and planning instead of constantly searching for mentions.

AI analyzes large amounts of data using the same rules every time. Because of that, it tends to produce more consistent results than manual reviews. Instead of relying on guesswork, teams get a clearer picture of how people actually feel about the brand. With better insights, it becomes easier to make smart decisions when reputation issues come up.

People talk about brands all over the internet. Social media, blogs, forums, review sites, news outlets, and increasingly in AI models like ChatGPT. Comprehensive AI tools can track brand conversations across all these platforms at once, giving brands a wider view of what’s happening online. That broader coverage helps make sure important discussions don’t slip through the cracks.

Additionally, some tools can monitor for imagery, meaning you can flag IP infringement or unauthorized use of your logo.

AI can also help brands stay one step ahead of potential issues. Analyzing patterns in conversations and customer feedback can highlight warning signs early. Instead of reacting once a problem is already public, teams have a chance to step in sooner and manage the situation before it grows.

AI turns large amounts of online chatter into clear insights. Instead of relying on assumptions about what customers think, leaders can look at real data to guide decisions. Whether it’s shaping communication strategies, adjusting marketing campaigns, or improving customer service, having that data makes it easier to move forward with confidence.

AI can make reputation management much easier, but it’s not without its complications. Like any technology, it comes with trade-offs that businesses need to think through before relying on it too heavily.

AI tools work by analyzing large amounts of data, and that data sometimes includes personal information. Because of this, businesses have to be careful about how they collect, store, and use it. 

Privacy laws like GDPR and CCPA set clear expectations for responsible data handling. If companies ignore those rules or misuse data, they risk legal trouble and damage to customer trust.

AI systems learn from the data they’re trained on. If that data contains bias, the system can repeat or even amplify it. For example, sentiment analysis tools might misinterpret certain language patterns or cultural expressions. 

That’s why companies need to regularly review and test their systems to make sure the results are fair and accurate.

Bringing AI into an existing workflow can take time and money. Businesses may need new software, better infrastructure, and employees with the right technical skills. 

There’s also training to consider so teams can use the tools effectively. For smaller companies, these costs can make adoption a bit more difficult.

Even the best AI tools can’t replace human judgment. Reputation issues often involve nuance and context that software can’t fully understand. Human teams still need to review insights in order to guide responses and make the final decisions about how to handle sensitive situations.

The internet changes quickly. Cultural references shift, and online behavior evolves all the time. AI systems have to be retrained regularly to keep up with those changes. Without ongoing updates, the models can become outdated and start producing inaccurate insights.  

Many companies are already using AI to keep track of what people are saying about them online. 

Retailers often scan product reviews to spot recurring complaints. 

Airlines watch social media to catch service issues early, like flight delays or baggage problems. 

Financial institutions track news coverage and market sentiment to understand how events might affect public perception.

AI in Brand Reputation Management: An Overview

As the 2026 spring break season approached in the Northern Hemisphere, new waves of consumers used LLMs to make their travel plans. There are dozens of mainstream online travel agencies (OTAs) and accommodation aggregators to choose from. 

However, LLMs recommended just a small handful in response to prompts about finding the best hotel deals.

Booking.com led with 55% visibility, closely followed by Expedia at 54% visibility, according to our GenAI analysis.

Both popular aggregator sites achieved high visibility across target prompts, though important nuances emerged between consumer asks focused on luxury, solo travel, and safety. Overall, our exploration revealed how consumers experience AI-driven travel discovery — including how LLM platforms elevate certain brands, shape perceived value, and reinforce narratives about credibility within the European hospitality market.

Methodology: The findings below refer to GenAI Lens data evaluating responses from eight LLMs — ChatGPT, Claude, Deepseek, Gemini, Google AI Overviews, Grok, Llama, and Perplexity — over the three-week period from February 18 to March 11, 2026. 
Our analysis centered on four structured prompts reflecting common travel-planning scenarios in relation to spring 2026 trips in Europe:

What are the best hotel deals in Europe in spring 2026?

What are the best hotel deals for luxury hotels in Europe in spring 2026?

I’m planning a solo trip to Europe in spring 2026. What are the best-value hotel deals right now, ideally in well-located, mid-range or boutique hotels?

I’m a woman traveling solo in Europe in spring 2026. What are the best hotel deals in safe, well-located areas with good reviews?

LLMs Recommended Booking.com and Expedia Most Across Travel Prompts and Models

Both Booking.com (55% visibility) and Expedia (54% visibility) dominated AI-generated OTA recommendations for Europe in spring 2026. Together, they appear in nearly half of all AI responses, consistently achieving high prominence placement across analyzed prompts and models. Tripadvisor came in third place, though at a significant distance from the first two with 32% visibility.  

However, as we’re seeing consistently in these analyses, AI visibility varies widely across models:

Meta’s Llama most frequently recommended Booking.com.

xAI’s Grok tied Booking.com and Expedia for top visibility.

Perplexity, by contrast, surfaced Tripadvisor most often.

Booking.com is the first aggregator website mentioned in this prompt response from Meta Llama analyzed within GenAI Lens. 

Overall, Booking.com slightly outperformed Expedia in LLM visibility thanks to its prevalence across our prompts exploring varying travel scenarios. Models like Google AI Overviews highlighted early booking discounts (15%+), Genius loyalty benefits, and flexible cancellation policies tied to premium properties. For other OTAs and aggregators, emphasizing loyalty building features like these could aid in boosting LLM visibility.

Tripadvisor Gained LLM Visibility in Prompts About Luxury Hotels and Women’s Solo Trips

As seen in the table below highlighting brand, keyword, sentiment, source, and model variations across the personas we analyzed, responses vary meaningfully across prompts. For example, LLMs (and by extension the OTA and aggregator websites they pull from) mentioned Paris, Italy, and Rome most in response to our luxury prompt. Those locations were replaced by Amsterdam and Lisbon for both our solo trip prompts. Meanwhile, when it comes to primary source types, editorial luxury influenced our luxury prompt responses most, while review sites were the top influences of our solo trip prompts. For brands looking to impact the LLM-driven narratives about them, monitoring and optimizing for target associations is key to differentiating.

The most striking of these variations: Tripadvisor was not the most visible OTA overall, but it achieved the second-highest visibility (47%) in both luxury hotel prompts and women’s solo travel prompts. For luxury travelers, LLMs highlighted filter tools, price alerts, and value rankings for spa resorts, positioning it as a decision-support platform. For women traveling solo, best-rated and boutique filters along with peer reviews were the qualities that caught AI attention.

So while Tripadvisor lacked the broad dominance of Expedia and Booking.com, it did achieve prominence in specific travel scenarios. It seems that the site’s combination of search features and UGC helped it cover wider ground among consumers with more specified needs.

As LLMs increasingly steer how travelers discover and evaluate booking platforms, AI visibility is reshaping the competitive landscape for OTAs and other accommodation booking platforms. In short: AI optimization is the new travel marketing battleground. Based on our analysis above, strategies for boosting AI visibility include:

Optimize on owned websites for prominence placement: Booking.com’s dominance correlates with early positioning and specialized webpages that LLMs pulled from. Use structured FAQ pages and schema markup targeting highly specific prompts like “Best hotel deals Europe Spring 2026.”

Emphasize unique UX and capabilities. To avoid being seen as just another price-comparison platform, expand owned content to highlight flexibility (free cancellation, payment options), loyalty benefits, curated collections, and premium or differentiated stay experiences. Based on the most-mentioned locations, there may also be opportunities to target high-intent travelers interested in more off-the-beaten-path destinations.

Track model-specific performance: Booking.com visibility ranges from 30% to 89% by model. AI optimization must be model-aware.

Strengthen review integration: UGC may have helped Tripadvisor stand apart in more specified travel scenarios. Hosting verified user reviews on owned websites helps build trust and brings authentic, personal, AI-visibility boosting content home.

FAQ: Online Travel Agency and Accommodation Booking Platform AI Visibility Performance

Does OTA visibility vary across AI models?

Yes. Meltwater’s GenAI Lens found significant model variance in OTA visibility.

Booking.com ranged from 30% visibility in ChatGPT to 89% in Meta Llama.

Expedia ranged from 20% in ChatGPT to 88% in Grok.

Tripadvisor was strongly amplified in Perplexity (54%) and Grok (86%) but weak in Claude and ChatGPT.

This confirms that OTA exposure in AI results is architecture-dependent and not uniform across platforms.

How does prompt framing affect AI hotel recommendations?

Meltwater’s GenAI Lens analysis shows that prompt intent shifts how AI frames hotel recommendations, even when dominant brands remain consistent.

Editorial luxury sources are frequently cited

Booking.com (69%) and Expedia (60%) reinforce dominance

Review and safety-focused blogs dominate citations

Which European cities received the most AI amplification in prompts about spring 2026 hotel deals?

Meltwater’s GenAI Lens found that destination visibility varies by travel context.

Paris shows the strongest cross-model consistency overall, while Lisbon holds the highest sentiment score (63%). AI appears to associate Paris with luxury, and Amsterdam and Lisbon with safety and functional solo travel.

What does sentiment analysis show about OTA positioning?

Meltwater’s GenAI Lens analysis of spring 2026 European hotel deals found that OTA sentiment is stable but emotionally flat.

Sentiment range: 55–64% across major brands

AI platforms frame OTAs as reliable, transactional utilities rather than emotionally differentiated or premium brands.

Why does Meltwater’s GenAI Lens analysis matter for travel brands?

Meltwater’s GenAI Lens analysis of spring 2026 European hotel deals demonstrates that AI systems have the power to shape early-stage travel discovery before consumers reach traditional search engines or booking sites.

OTA visibility is highly concentrated on LLMs. 

Model differences are significant and consequential. 

Prompt framing reveals brand visibility ranking variances. 

LLMs actively shape consumer associations with travel decisions.

As consumers increasingly use generative AI to plan travel, optimizing for LLM visibility is becoming as critical as SEO and paid media in the European hospitality market.

How Booking.com and Expedia Dominate AI Travel Recommendations

Something fundamental has shifted in how people find information and decide who to trust. When someone turns to an AI tool with a question these days, they don't get a page of links to sift through, they get an answer. And that answer is built from sources the model has already decided are credible, consistent, and worth listening to. If your brand isn't part of that picture, you've lost influence before the conversation even begins.

PR now has a direct hand in shaping what LLMs consider credible expertise. Media coverage, expert commentary, well-structured articles, repeated narratives across channels, all of this feeds the information environment that AI models draw from. When you start treating PR as a long-term investment in authority rather than a quick play for press coverage, you set your brand up to actually be found in an AI-driven world.

This isn't just a new tactic to bolt onto your existing strategy. It's a structural change in how thought leadership works, and it demands a thoughtful, deliberate response.

Understanding thought leadership in the age of AI

How LLMs are reshaping thought leadership

The symbiotic relationship between LLMs and PR

How to leverage PR for effective LLM thought leadership

The Meltwater Blog

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How Booking.com and Expedia Dominate AI Travel Recommendations

The LLM Revolution: Redefining Thought Leadership with PR

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How to Measure PR Performance Across LLMs and Generative Search

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PR + GEO: How to Win Visibility in AI Search & LLM Answers