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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

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

Every month, a number lands in your PR report: your AI visibility score. It went up three points, or down two, and someone above you wants to know why. The temptation is to treat that number the way early SEO teams treated search rankings: as a position to defend and push higher.

Treat your AI visibility score as a diagnostic. It shows how consistently and prominently your brand appears in AI-generated answers. Look beyond the headline number, and you start to see the narratives, sources, and competitors shaping that visibility.

Those sources can include earned media, reviews, social platforms, owned content, forums, and other sources AI systems rely on. For PR teams, that changes the question from “How do we raise the score?” to “What is the score telling us about how our brand is being represented, and what upstream signals can we improve?”

What your AI visibility score is actually measuring

What a good or bad score tells a PR leader to do next

Reading the score without getting stuck on the number

An AI visibility score measures how present your brand is in AI-generated responses to questions your audience actually asks. 

Most AI visibility tools build it from the same basic inputs:

Mention rate: the share of relevant prompts where your brand appears at all

Prominence: where you appear in the answer (first recommendation or a passing reference at the end)

Sentiment: whether the model describes you positively, neutrally, or negatively

AI share of voice: how your mention frequency compares with your competitors'

Citation rate: how often the model links to or cites a source about you, and which sources those are. 

Each vendor weights these differently, so the exact scoring model varies. Meltwater's GenAI Lens, for example, pairs prevalence scores (how often your brand appears across models) with AI share of voice and source and citation tracking. 

Together, those signals tell you much more than whether a score went up or down. They help explain where your visibility is coming from, how AI platforms frame your brand, and what may be driving change.

For a broader primer, start with this guide to AI visibility.

You already understand traditional SEO rankings as adversarial. Ten blue links, a known set of ranking factors, and a long history of teams gaming them with backlinks, schema markup, and keyword placement.

An AI visibility score works differently:

<table class="table-primary">
<thead>
<tr>
<th>Search ranking</th>
<th>AI visibility score</th>
</tr>
</thead>
<tbody>
<tr>
<td>What it reflects</td>
<td>How one page ranks for one query</td>
<td>How models describe your brand across many prompts</td>
</tr>
<tr>
<td>Main inputs</td>
<td>Your pages, links, and technical setup</td>
<td>What credible third parties say about you</td>
</tr>
<tr>
<td>Unit of success</td>
<td>A position on a results page</td>
<td>A mention, its framing, and its source</td>
</tr>
<tr>
<td>Response to quick fixes</td>
<td>Often short-term gains</td>
<td>Small, temporary bumps at best</td>
</tr>
</tbody>
</table>

That wider source mix matters. Meltwater’s July 2026 analysis of thousands of prompts across eight major AI platforms found that earned and news sources accounted for 33.1% of citation domains, more than any other named category, and the mix varied significantly by model.

Ahrefs found a similar pattern in its study of 75,000 brands. Brand mentions on the web correlated much more strongly with AI Overview visibility than backlinks did (0.664 versus 0.218). The researchers note that this is correlation, not proof of causation.

Structured data, crawlability, and clear content structure still matter. They help models understand your owned content and your entity clarity in places like Google's Knowledge Graph. But they don't change what the rest of the web says about you, and that's what the model is mostly drawing on.

That is why the score works best as a mirror of how the market's most-cited sources see your brand. To go deeper on the full measurement set, these AI visibility metrics for CMOs break down what to report up.

Optimizing for the score can push you toward tactics that improve a metric without strengthening the signals behind it. Common traps include:

Chasing mention volume: Prioritizing lots of low-value mentions over relevant coverage from credible publications.

Writing pitches for AI, not journalists: Stuffing pitches with keywords, listicle hooks, or quotable lines designed to attract LLM citations rather than earn genuine editorial interest.

Publishing content just to get cited: Creating FAQ-heavy or schema-packed pages around AI prompts without adding original expertise or evidence.

Reacting to every score change: Treating small month-to-month movements as meaningful when AI responses can vary between prompts, models, and runs.

AI-friendly website changes can help, but they’re no substitute for credible third-party coverage.

Durable AI search visibility comes from the same things PR already does well:

Earned coverage in credible outlets. Models lean on sources they consider trustworthy, and independent journalism sits near the top of that list.

Real journalist relationships. Reporters who know your spokespeople quote them accurately and come back to them when a story breaks.

Consistent positioning over years. When dozens of credible sources describe you the same way, models learn that description and repeat it.

And simply getting cited isn’t enough. A 2026 Semrush study found that 61.7% of AI citations didn’t include the brand name in the answer at all. In other words, a page can influence an AI response without the user ever seeing the brand behind it.

That makes the quality and consistency of your wider brand presence more important than chasing citations alone.

Pew Research Center found another reason this matters. Google users clicked a traditional search result in 8% of visits when an AI summary appeared, compared with 15% when one didn’t. Only 1% clicked a source link inside the AI summary. 

If people increasingly get the answer without clicking through, how your brand appears inside that answer matters more.

Meltwater tracks its own AI visibility in GenAI Lens, and the source breakdown shows exactly where earned media comes in.

Ask Anthropic "What are the best social monitoring platforms for enterprise marketing teams?" and it describes Meltwater as: 

Meltwater is best for PR and communications teams tracking news and social simultaneously. Boolean search capabilities allow teams to filter out junk and zero in on relevant conversation, and the Explore+ tier opens up unlimited searches and deeper analytics for enterprise teams that need to move beyond simple mention tracking into trend identification and audience understanding.

The source behind that description is ICUC's article on Social Media Monitoring Tools.

An owned landing page wasn't updated to win that answer. A third party wrote the article, the model found that story, trusted it, and used it to describe Meltwater to someone researching the category.

That is the pattern to look for in your own data. When you run earned media monitoring alongside AI source tracking, you see which placements are feeding AI answers and which outlets models keep returning to.

Use the score to open a question. Before you report it up, figure out which of these three situations you're in.

What it usually means: You lack coverage in the sources models pull from for this topic. Your competitors own the conversation in the publications that matter.

Your PR move: Audit which outlets the models cite for your category prompts, then pitch the gap. Prioritize the publications and journalists that show up repeatedly in citations but rarely cover you.

Models mention you, but cite the wrong sources (or none)

What it usually means: The model is describing you from outdated articles, a thin Wikipedia entry, forum threads, or a competitor's comparison page. The description may be accurate but stale, or quietly off.

Your PR move: Correct the source. Update what you control, then earn fresh coverage that reflects your current positioning. Strong PR monitoring helps you spot outdated or inaccurate stories that keep resurfacing.

Models mention you, but the framing or sentiment is off

What it usually means: This is a positioning problem in the market narrative. The coverage exists, but it tells a story you don't want told, whether that's an old crisis, a product you've moved away from, or a narrow description of what you do.

Your PR move: Deepen journalist relationships around the narrative you want, and bring proof: customer stories, data, executive perspectives. For negative sentiment tied to past issues, treat it as part of your broader brand reputation protection work.

In every case, compare against competitors. A mention rate of 30% looks weak on its own and strong if your closest competitor sits at 12%. The same logic applies to classic share of voice: the number only means something in context.

Don’t judge your AI visibility score on its own. When it changes, check what caused the movement: fewer mentions, different sources, weaker sentiment, or stronger competitor visibility. Then fix the underlying issue.

Missing from relevant prompts? Look at which competitors appear instead and which sources support them.

Being cited from weak or outdated sources? Update what you control and work toward fresher coverage.

Framing or sentiment is off? Trace it back to the sources shaping that narrative.

Competitors are gaining visibility? Compare where they are appearing and which publications or topics are driving that difference.

Meltwater's GenAI Lens brings those signals together. It shows how often your brand appears across models including ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, and Google AI Mode, which sources those answers cite, and how your visibility changes over time.

Pair that with Meltwater Media Intelligence to see the news, broadcast, and social coverage that feeds those sources, so you can see which PR work is moving the needle.

If you want to see how your own AI visibility score breaks down by source and sentiment, book a demo, and we'll walk you through it with your brand's data.

There's no universal benchmark, because every AI visibility tool uses its own scoring model and prompt set. A good score beats your direct competitors on the prompts your buyers actually ask and holds steady or improves over several months.

How is an AI visibility score calculated?

Most tools run a set of category prompts through AI platforms such as ChatGPT, Perplexity, Gemini, and Google AI Overviews, then measure how often your brand appears, how prominently, with what sentiment, and which sources are cited. Those inputs roll up into a single score or metrics like mention rate and AI share of voice.

How is an AI visibility score different from SEO rankings?

An SEO ranking measures where one page appears for one query. An AI visibility score measures how models describe your brand across many prompts, based largely on what third-party sources say about you. Backlinks and technical SEO play a smaller role.

Yes. AI models rely heavily on credible third-party sources, including news coverage and trade press. Earned placements in outlets that models already cite are one of the most direct ways to improve how often and how accurately AI platforms describe your brand.

Does schema markup improve AI visibility?

Schema markup and structured data help AI platforms understand your owned content and your brand as an entity. They're worth doing, but they won't replace earned coverage. Models still decide how to describe you based largely on independent sources.

Learn what AI visibility actually measures and how PR teams turn the diagnosis into lasting brand authority.

Your AI Visibility Score Is a Mirror, Not a Scoreboard

As generative AI reshapes how people research, learn, and make decisions, a new discipline is emerging: Generative Engine Optimization (GEO). Just as SEO helped brands get discovered on Google, GEO ensures they appear accurately and positively within AI-powered platforms like ChatGPT, Gemini, and Copilot. With millions of consumers now turning to generative engines instead of search engines, GEO is fast becoming essential for marketing and PR professionals looking to influence how their brand shows up in this new discovery layer, where conversations, not clicks, determine visibility.

What is generative engine optimization (GEO)?

Why should marketing & insights teams care about GEO?

How does GEO work? Key mechanisms & signals

How can you get started with GEO? Test your GEO readiness

Which media sources to prioritize for GEO

What's the difference between GEO and SEO?

8 essentials of generative engine optimization

Increase your GEO readiness with Meltwater

Generative Engine Optimization (GEO) is the practice of ensuring that AI platforms such as ChatGPT, Google Gemini, Llama, etc., provide accurate, positive, and up-to-date information about your brand when users ask questions. These platforms are referred to as Generative Engines, Answer Engines, or Large Language Models (LLMs). They are increasingly used by consumers to research purchases and make decisions.

GEO is a way of making sure that AI platforms give people the right information about a company’s brand and products. 

For example, if a person asks ChatGPT: “What is a good family car for camping trips?” then the auto manufacturers would want ChatGPT to suggest their SUV models, and list the benefits. To make sure that happens, the auto brands need to use GEO.

GEO ensures your brand shows up correctly within these AI-generated responses.

The practice of GEO involves several steps, but it is mostly focused on creating, structuring, and publishing content in the best way to influence the responses given by AI Generative Engines. 

In this article we’ll go into the detail of how GEO works, why it’s important, and how you can use it to make sure your brand is featured positively in AI platforms.

Sometimes, generative engine optimization (GEO) is referred to as answer engine optimization (AEO). Learn more about the differences and similarities of GEO and AEO, and take a look at the best AEO tools.

For a long time marketers have been able to rely on the fact that consumers almost exclusively use Google to research buying decisions. So they have been able to use Search Engine Optimization (SEO) to ensure their brand’s website appears in the organic search results, or use paid search advertising to buy ads on relevant search results. 

This is a highly effective way of targeting the right audience at the right time. But now things are changing.

LLMs aren't just another channel. They sit on top of this ecosystem. They synthesize everything into a single conversation.

Allie Konchar, Partner & Chief Client Officer, Omniscient

Changing user behavior: AI + conversational search

Increasingly, consumers are using tools like ChatGPT to research their buying decisions. Data from Meltwater’s 2026 Global Digital Report shows that ChatGPT.com is now the fifth most visited website on the web.

While search engines remain popular, many search queries now produce an AI generated summary that often provide enough information to divert users away from clicking through to websites, because their question has already been answered. McKinsey reports that around half of all Google search queries already produce AI-generated summaries, which can lead to zero-click searches, and that number keeps rising. 

With conventional web search, consumers are performing research manually, trying to find trustworthy sources and sifting through information to reach the answers they seek. But with Generative Engines, the AI is performing the research automatically, using its existing base knowledge alongside supplemental information pulled from more recent online sources. A search engine shows users where to find answers, while a Generative Engine just gives them the answer. 

For marketers, the key takeaway is that few top-of-funnel consumers are visiting your website, because during the awareness phase their information needs are being met by Generative Engines. This makes it more difficult to move them down into the consideration phase. 

TIP: For more data around growing AI usage and online consumer behavior, download our 2026 Global Digital Report, featuring nearly 700 pages statistics to help inform your GEO strategies next year.

You already know that everybody is talking about AI, and all of your competitors are having the same discussions as you about what it means for their marketing strategy. Those who move decisively to implement GEO, ensuring their brands are represented clearly and positively in Generative Engines, will capture the largest share of those consumers who start their buying journey with an AI query.

If you’re not optimizing for generative engines, you just might never reach your audience at all.

Kelly McKenna, Regional Director, Account Management at Meltwater

Those who ignore GEO will lose ground, as growing numbers of consumers turn from search engines to Generative Engines, the size of the audiences that can be reached through conventional search marketing will decrease. 

How do generative engines (LLMs) surface content?

It’s important to understand that while Generative Engines are based on similar technology, they all work a little differently. Broadly speaking they all use two different sources of knowledge to provide an answer to a query: 

<table class="table-primary alternate-color">
  <caption>How Generative Engines (LLMs) Surface Content</caption>
  <thead>
    <tr>
      <th>Generative Engine</th>
      <th>Primary Retrieval Method</th>
      <th>Sources Most Often Cited</th>
      <th>Sources Less Likely to Be Cited</th>
      <th>Notes on Behavior</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>ChatGPT</td>
      <td>Bing search + internal training data</td>
      <td>Reuters, AP News, Wikipedia, Encyclopedic sources</td>
      <td>Social media platforms (X/Twitter, Instagram)</td>
      <td>Prefers authoritative, neutral, structured sources with high trust signals.</td>
    </tr>
    <tr>
      <td>Google Gemini</td>
      <td>Google Search + YouTube + Knowledge Graph</td>
      <td>Reddit, YouTube, Google-indexed blogs</td>
      <td>X/Twitter</td>
      <td>Strongly favors user-generated content, community threads, and Google-owned properties.</td>
    </tr>
    <tr>
      <td>Perplexity</td>
      <td>Real-time web crawling + citation-first retrieval</td>
      <td>News publishers, reputable blogs, research papers</td>
      <td>Low-trust UGC</td>
      <td>Most transparent engine — always cites sources and updates in real time.</td>
    </tr>
    <tr>
      <td>Claude</td>
      <td>Internal training data + selected retrieval</td>
      <td>Academic sources, reputable news, long-form articles</td>
      <td>Short-form social media</td>
      <td>Prefers long-form text and well-structured explanatory content.</td>
    </tr>
  </tbody>
</table>

Training data: All LLMs begin by being trained on a huge volume of existing content and data — we’re talking about dozens of terabytes (a terabyte is 1,000Gb). This training data comes from a wide variety of sources (including your website), and gives the LLM its base knowledge about the world. The LLM does not have any knowledge of anything that happened after its initial training. 

Live Web Search: To overcome the knowledge cut-off problem, the training data is supplemented with fresh information gathered from the internet. If the Generative Engine thinks that a user’s query would benefit from more up to date information than it already has, it fetches new content from trusted online sources and works that into its response. Google uses its own search engine to find fresh information, while ChatGPT uses various sources, including Microsoft Bing.

It’s also important to note that AI does not quote any of this content verbatim in its responses. Much like a human, it uses the information it has learned to inform its own answer, and that can include information from various sources, including the press, competitors, consumer reviews. So don’t expect it to always be on-message!

Another key point is that unlike a search engine, an LLM does not have an index of content which it searches to find answers. It would be impossible to search ChatGPT for all mentions of your brand — that’s simply not how it works. 

An LLM is more similar to a human brain, in that it has a lot of knowledge stored in patterns and relationships between words and concepts. It is extremely difficult, verging on impossible, to examine and understand the detail of an LLM’s learned knowledge because of the sheer scale and complexity; this is a challenge referred to as Black Box AI. 

But we do understand how Generative Engines work at a high level, and we can analyze the kind of responses they produce for relevant queries, which gives us insight into how we should optimize our content for increased visibility.

Tip: Learn more about the citation layer.

What content features improve GEO-visibility?

Bear in mind that when you’re optimizing content for Generative Engines, the goal is to write copy that is easier for AI to digest and incorporate into its responses.

Clarity: Avoid overly elaborate language. Do not use corporate-jargon. Keep it simple, professional, and to the point. Leave no room for ambiguity. 

Authority: Wherever possible back up your statements with data from reputable sources, quotes from experts or industry leaders, and reference-able proof points. 

Structure: Organize your pages well with clear titles, headings, and subheadings. Use heading tags (H1, H2, etc) correctly to specify the hierarchy of your content. 

Recency: AI platforms look for more recent information from trusted sources to supplement their base knowledge, so in both owned and earned media, aim to publish fresh content recently.

In many respects GEO shares principles with good SEO practice. If you write consistently high quality content which addresses the needs of your target audience, and structure it correctly on well designed, standards compliant web pages, you will succeed.

Reading tip: Learn how a website rebuild drove a 73% citation increase.

Test your GEO readiness: a 2-minute self-assessment.

First you need to understand your starting point. Meltwater’s GenAI Lens is a tool that gives brands insight into how they are discussed by all major Generative Engines, including ChatGPT, Claude, Gemini, Perplexity, Grok, and Deepseek. 

With GenAI Lens you’ll be able to understand how your brand is already featured in LLMs, what source websites are used in those responses, and whether outdated or inaccurate information is being used.

Reading tip: Your AI Visibility Score Is a Mirror, Not a Scoreboard

We know that LLMs pull content from the web, which they use to inform their responses. So whatever is said about your brand online will significantly affect how Generative Engines talk about your company. 

The Meltwater Blog

Your AI Visibility Score Is a Mirror, Not a Scoreboard

What is Generative Engine Optimization (GEO) & How to Do It

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Best AI Search Monitoring Tools for 2026

Beyond Polarity: Attitude Analysis by Converseon

LinkedIn and AI visibility: Your GEO questions answered

The Data of Influence: Social Listening Analysis of Top CEOs 2026

What Is Media Monitoring? A Complete Guide for 2026