How to improve AI search visibility

Learn how to make your website easier for AI systems to understand, trust and reference in AI-generated answers, search summaries and conversational search results.

Improve AI visibility through SEO, structured content and trustworthy information

How to Improve AI Search Visibility

AI-powered search is changing how people discover businesses, compare services and find information online. Instead of browsing multiple websites, users increasingly turn to conversational assistants for direct answers, summaries and recommendations.

ChatGPT, Google AI Overviews, Gemini and Perplexity are examples of services that can present information from different sources in a single response. For businesses, this creates opportunities to strengthen brand recognition beyond traditional search result listings.

Improving AI visibility involves making your website easier to discover, understand and reference. An effective approach combines technical accessibility, useful content, clear entity information, credible sources and consistent measurement.

This practical guide explains seven steps for strengthening your website's discoverability, building topical authority and monitoring brand presence across AI-powered experiences.

Quick takeaway: Publish accurate answers, organize information clearly, strengthen brand signals, implement relevant structured data and maintain a technically accessible website. These practices can improve opportunities for discovery and citation, but no optimization method guarantees inclusion in generated answers.

For a broader introduction, explore our ChatGPT AI SEO GEO Guide.

What Is AI Visibility?

AI visibility describes how frequently and prominently a brand, website or information source appears in generated responses, citations, summaries and recommendations from artificial intelligence tools.

A company may gain exposure when an AI assistant mentions its name, recommends its services or links to its website. These interactions do not always produce an immediate visit, which makes traditional traffic analytics insufficient for measuring the entire discovery process.

Visibility in AI environments includes several distinct outcomes: brand mentions, source citations, referral visits and recommendations. Each represents a different level of exposure and should be measured separately.

How Does a Brand Appear in AI Answers?

A brand appears in AI answers when an assistant includes its name, products, expertise or website in a response to a relevant question.

  • Brand mentions: A company is named without a clickable link.
  • Source citations: A webpage is referenced as supporting information.
  • AI recommendations: A business or service is suggested to the user.
  • Generated summaries: Relevant information is presented in a concise answer.
  • Referral visits: Users follow links from an assistant to a website.

For example, someone might ask which European agencies provide optimization for conversational search, how to improve online discoverability or which tools can measure brand exposure in generated answers.

The resulting AI responses may mention several organizations, cite useful resources or provide general guidance without recommending a particular company.

Traditional SEO vs. AI Optimization

Traditional search engine optimization remains an important foundation for digital discoverability. However, generated answers introduce additional ways for users to encounter information and brands.

Factor Traditional SEO AI Optimization
Primary objective Improve rankings and organic traffic Increase exposure in generated answers
Discovery Search result listings Conversational responses and citations
Main focus Relevance, links and content quality Accessible answers and credible information
Content structure Search-intent-focused pages Clear explanations and self-contained sections
Brand signals Authority, reputation and relevance Recognizable entities and topical associations
Measurement Rankings, impressions, clicks and conversions Mentions, citations, referrals and conversions
Common platforms Google and Bing ChatGPT, Gemini, Perplexity and AI Overviews

These approaches complement one another. A website with strong technical foundations and useful information is better prepared for both conventional search discovery and retrieval-based AI experiences.

How Do AI Models Find and Select Information?

Different AI models use different methods to produce answers. Some rely on previously learned information, while others retrieve current documents through search indexes, browsing tools or specialized databases.

The availability of live retrieval depends on the product, model version, user query and enabled features. There is no single universal process governing every assistant.

How artificial intelligence systems retrieve, evaluate and summarize website information

1. Understanding the User's Question

The system interprets the request, identifies its intent and recognizes related concepts. A question about online discoverability may involve technical SEO, source quality, content organization, brand reputation and citation tracking.

This is why semantic relevance matters. Useful pages explain relationships between concepts rather than repeating a single keyword throughout the article.

2. Retrieving Relevant Sources

Search-enabled assistants may retrieve webpages, documents or database records associated with the user's question. Accessible HTML, internal links and appropriate crawling permissions can support this process.

However, allowing access does not guarantee that a particular document will be retrieved, selected or cited.

3. Evaluating Information Quality

Retrieved information may be compared and combined to produce a useful response. Accurate explanations, original examples, relevant evidence and clear terminology make content more valuable to readers and potentially useful for retrieval systems.

Source selection differs between providers, and traditional rankings do not automatically determine which websites appear in generated responses.

4. Producing AI Responses

An assistant generates an answer using the information available to it. Depending on the product, the result may contain citations, summaries, recommendations or unlinked brand mentions.

Results can change between repeated requests because model versions, retrieval conditions, location and question wording may vary.

Practical lesson: Make important information accurate, accessible and easy to verify. Focus on helping users rather than attempting to manipulate generated responses.

Learn more about Generative Engine Optimization and its role in modern digital discovery.

Key Factors That Influence Online Discoverability

Several content, technical and reputation-related factors contribute to a website's usefulness across traditional search and AI-powered experiences.

Clear Content Structure

Descriptive headings, concise paragraphs and logical sections help readers locate information. Each section should address a recognizable subject or question.

Search Intent and Semantic Relevance

Content should satisfy the actual information need behind a query. Relevant explanations, examples and supporting concepts are more useful than excessive keyword repetition.

Trustworthy and Verifiable Information

Identify authors, provide accurate explanations and cite credible sources where appropriate. Avoid unsupported statistics and claims about proprietary algorithms.

Entity and Brand Consistency

Organization names, services, professional information and author identities should remain consistent across relevant pages and public profiles.

Technical Accessibility

Important content should be available through reliable URLs and accessible HTML. Avoid accidental crawling restrictions, broken internal links and unnecessary dependencies on complex JavaScript rendering.

Topical Authority

A connected collection of useful resources can provide greater subject depth than one broad article. Supporting pages should address distinct questions and link naturally to related information.

Content Freshness and Maintenance

Review time-sensitive information, update obsolete examples and repair broken references. Meaningful maintenance is more valuable than changing dates without improving the underlying content.

7 Practical Steps to Improve AI Visibility

The following steps provide a practical framework for improving website quality, accessibility, brand clarity and the usefulness of information presented to readers and search-enabled assistants.

Step 1: Structure Content for Easy Extraction

Well-organized content is easier to navigate, interpret and summarize. Begin with one descriptive H1 heading and divide the article into meaningful H2 and H3 sections.

Each important section should introduce its topic, provide a direct explanation and then add supporting details, examples or evidence.

  • Use descriptive headings.
  • Place the main answer near the beginning.
  • Keep paragraphs focused on one idea.
  • Use tables when comparing concepts.
  • Use lists for processes and checklists.
  • Link to useful supporting resources.
  • Avoid unnecessary repetition.

Example: Before Optimization

AI SEO is important because technology is changing, and companies should make their websites better to achieve stronger online results.

This explanation is vague and provides little actionable information.

Example: After Optimization

Optimization for AI-powered discovery improves how easily search-enabled assistants can access and interpret website information. Practical actions include clear answers, technical accessibility, consistent brand details and credible supporting sources.

The second example offers a definition and identifies specific actions. It is more useful to readers and potentially easier to summarize accurately.

Step 2: Use Question-Based Headings and Direct Answers

Conversational queries often contain complete questions. Organizing relevant sections around those questions can improve clarity and help readers find information.

Question-based headings and clear answers for conversational search optimization

Useful examples include:

  • How can a business improve its presence in ChatGPT?
  • What makes a website easier for AI tools to understand?
  • Does structured data support generated answers?
  • How can companies measure brand mentions?
  • Which visibility metrics should be monitored?

How Can I Improve Visibility in ChatGPT?

Publish accurate and accessible information about your organization, services and expertise. Create helpful answers to relevant questions, maintain consistent brand details and ensure appropriate crawler access. Inclusion in ChatGPT responses is not guaranteed.

A direct answer can stand independently while the surrounding paragraphs provide useful context. This approach supports Answer Engine Optimization without requiring every heading to be a question.

Explore our Answer Engine Optimization guide for additional techniques.

Step 3: Strengthen Brand and Entity Signals

An entity is an identifiable person, organization, product, place or concept. Clear entity information helps distinguish a business from similarly named organizations and explains its areas of expertise.

For example, Braingow provides website development, technical SEO and optimization services for businesses seeking stronger digital visibility.

Actions to Improve Entity Clarity

  1. Use one consistent organization name.
  2. Maintain an informative About page.
  3. Describe services accurately.
  4. Identify authors and their relevant experience.
  5. Connect related resources with internal links.
  6. Keep business information current.
  7. Reference credible professional profiles.

Why Author Information Matters

An identifiable author helps readers understand who created the content. Relevant experience, professional projects and links to published work can provide useful credibility signals.

Adding an author biography does not automatically increase citations, but it improves transparency and makes expertise easier to evaluate.

Build Consistent Topical Associations

A business should be connected with its genuine expertise through useful resources covering related subjects such as technical SEO, entity optimization, structured data, content strategy and AI visibility tracking.

Learn more about Entity SEO and the importance of clear relationships between brands, services and concepts.

Step 4: Implement Relevant Structured Data

Structured data provides machine-readable descriptions of entities and page properties. Schema.org vocabulary can identify articles, authors, organizations, breadcrumbs and other content elements.

Structured data and Schema.org markup for better content interpretation
Schema Type Purpose
BlogPosting Identifies an article and its properties
Person Describes an individual author
Organization Identifies the publishing organization
BreadcrumbList Describes the navigation hierarchy
WebPage Describes the webpage
FAQPage Describes appropriate question-and-answer content

Does Schema Markup Improve AI Visibility?

Structured data can help compatible systems interpret page information more consistently. However, there is no universal evidence that a particular schema type guarantees citations in ChatGPT, Gemini or other assistants.

Markup must reflect visible content accurately. Avoid unsupported credentials, invented reviews and descriptions of services not actually provided.

Google's FAQ rich results are restricted to eligible website categories, so FAQ markup should not be implemented solely to obtain enhanced search displays.

Validate structured data with appropriate testing tools. Successful validation confirms syntax or supported properties, not guaranteed search visibility.

Step 5: Optimize Content for Generated Answers

Useful content should address a clear question and provide enough information for the reader to understand the answer without relying on vague statements.

A strong answer-focused section includes:

  • A concise definition or conclusion.
  • An explanation of why the topic matters.
  • Supporting evidence or a practical example.
  • Relevant qualifications or limitations.
  • A useful next step.

Create Self-Contained Answer Units

An answer unit is a focused passage explaining one concept or solving one problem. It should remain understandable when read independently.

What Is Generative Engine Optimization?

Generative Engine Optimization (GEO) is the practice of improving content and website signals to increase opportunities for discovery, inclusion and citation in AI-generated search experiences. It complements conventional SEO through clear answers, topical relevance and credible information.

SEO, AEO, GEO and Entity SEO Compared

Concept Main Focus
SEO Organic rankings, discovery and website quality
AEO Clear answers to user questions
GEO Visibility in generative responses
Entity SEO Identification and relationships between entities
Technical SEO Crawling, indexing, performance and accessibility

These disciplines overlap. A sustainable strategy combines their strengths rather than treating them as unrelated optimization methods.

Support Important Claims

Original research, documented observations and credible external references make content more valuable. When using statistics, identify the source, date and methodology.

Avoid presenting assumptions about proprietary algorithms as established facts.

Step 6: Build Topical Authority with Internal Links

Topical authority develops through useful, interconnected resources that address a subject in meaningful depth.

Building topical authority through content clusters and internal linking

Example Content Cluster

A comprehensive resource about AI-powered discovery can connect with specialized articles covering:

  • How search-enabled assistants retrieve sources.
  • ChatGPT SEO techniques.
  • Generative search optimization.
  • Answer-focused content.
  • Entity relationships.
  • Structured data implementation.
  • Technical crawling and indexing.
  • Brand exposure measurement.

Avoid Duplicate Search Intent

Every supporting page should have a distinct purpose. A general AI SEO guide might explain the discipline, while a measurement article should focus on monitoring citations, mentions and business outcomes.

Publishing multiple pages with nearly identical information creates unnecessary duplication and reduces the usefulness of the content cluster.

Maintain Logical Website Architecture

Important resources should be reachable through relevant navigation and internal links. Review orphan pages, broken links, unnecessary redirects and outdated references.

Step 7: Strengthen Trust and Citation Potential

Source citations and brand recommendations are valuable forms of exposure, but their appearance depends on platform-specific retrieval and generation processes.

Publish Original Information

Content that adds unique value is more useful than generic explanations repeated across numerous websites.

  • Original research and observations.
  • Real project examples.
  • Detailed tutorials.
  • Documented methodologies.
  • Expert explanations.
  • Useful comparisons.
  • Accurate and verifiable data.

Build Credibility Beyond Your Website

Relevant mentions from reputable publications, professional directories and independent sources can contribute to reputation and brand discovery.

Focus on genuine editorial relevance rather than purchasing large quantities of low-quality mentions.

Maintain Accurate Information

Review pages when tools, official guidance or platform features change. Update obsolete screenshots, broken references and inaccurate claims.

Important: No agency or software tool can guarantee that a specific AI assistant will cite a particular website. Focus on quality, accessibility, credibility and measurable outcomes.

How to Improve Visibility in ChatGPT and Google AI Overviews

Different services use different retrieval methods, search indexes and source-selection processes. A useful strategy combines shared technical principles with platform-specific checks.

Improving Visibility in ChatGPT

For search-enabled ChatGPT experiences, make public information accessible, accurate and useful.

  1. Publish relevant information on crawlable pages.
  2. Review applicable crawler permissions.
  3. Make important content available in HTML.
  4. Use descriptive titles and headings.
  5. Maintain accurate organization details.
  6. Provide original answers to relevant questions.
  7. Monitor citations and brand mentions.

OpenAI distinguishes between crawlers used for different purposes, including search-related access. Consult current official documentation before changing permissions.

Allowing a crawler does not guarantee indexing, retrieval, recommendation or citation.

Improving Visibility in Google AI Overviews

Google's AI-generated search features are integrated into its broader search ecosystem. Strong technical foundations and useful information remain important.

  • Keep important pages eligible for indexing.
  • Publish helpful, reliable content.
  • Make essential information accessible.
  • Use relevant internal links.
  • Implement accurate structured data.
  • Maintain good technical performance.
  • Answer relevant questions clearly.

Google does not require a special AI-specific schema type for inclusion in AI Overviews.

Google Search Console remains useful for evaluating organic performance, although it does not provide a complete standalone record of every generated citation or brand mention.

Improving Visibility Across Other AI Platforms

Gemini, Claude, Perplexity and other assistants may differ in their access to live information, retrieval capabilities and citation behavior.

Do not assume that appearing on one service automatically produces equivalent results elsewhere. Test representative questions and record the outcomes.

Technical SEO Checklist for AI-Powered Discovery

Even excellent content may have limited discovery opportunities when important pages are technically inaccessible.

Check Crawling and Indexing

Confirm that public pages return successful HTTP responses and are not accidentally blocked.

  • robots.txt permissions.
  • noindex directives.
  • Canonical URLs.
  • XML sitemaps.
  • Redirect chains.
  • Internal linking.
  • Server errors.

Search engine indexing and access by individual AI crawlers are not identical processes.

Make Important Content Accessible

Essential information should not depend entirely on complex client-side rendering. Use semantic HTML and ensure that headings, descriptions and main content can be accessed reliably.

Improve Website Performance

Optimize images, reduce unnecessary scripts and improve loading reliability.

Core Web Vitals remain useful measurements of user experience. Fast loading does not guarantee citations, but performance is an important technical foundation.

Review Multilingual Content

International websites should use appropriate language declarations, canonical URLs and hreflang annotations for equivalent language or regional pages.

Hreflang primarily helps search engines understand language and regional alternatives. It should not be treated as a direct citation signal.

How to Measure AI Visibility

Measuring brand exposure in generated answers requires more than checking keyword rankings. A practical framework combines citations, mentions, referral traffic, conversions and competitive analysis.

1. Track Source Citations

Create a representative set of questions related to your services, products and industry. Evaluate responses from relevant search-enabled assistants and record whether your website appears as a cited source.

Example questions include:

  • Which agencies provide AI SEO services in Europe?
  • How can businesses improve ChatGPT visibility?
  • What are the benefits of generative optimization?
  • How can a website improve online discoverability?
Observed citation rate: (Responses citing your website / Total evaluated responses) × 100

If your website receives citations in 8 out of 40 evaluated responses, the observed citation rate is 20%. This represents a sample-based measurement, not a universal platform ranking.

2. Monitor Brand Mentions

Record whether your business is mentioned by name, even when no clickable source link appears.

Document the query, platform, date and context. Distinguish accurate mentions from misleading or incorrect descriptions.

3. Analyze AI Referral Traffic

Google Analytics 4 can identify visits referred by recognizable AI services when referral information is available.

  • Sessions from identifiable AI referrals.
  • Landing pages.
  • Engagement.
  • Conversions.
  • Qualified leads and enquiries.

Some AI-influenced visits may appear as direct or unassigned traffic. Referral analytics therefore provide only a partial view of total brand exposure.

4. Create an Internal AI Visibility Score

An internal score can summarize performance across a defined set of queries, platforms and measurement periods.

Keep citation rates, mention rates and referral conversions as separate indicators. Use the same questions and testing conditions when comparing results.

A proprietary visibility score should not be presented as an official ranking supplied by an AI provider.

5. Combine AI and Traditional SEO Metrics

Use Google Search Console and analytics data alongside AI visibility tracking to evaluate organic performance, technical accessibility and measurable business outcomes.

Tools such as Semrush and NeuronWriter can support keyword research, content analysis, technical auditing and competitor evaluation.

Content optimization scores are useful editorial indicators, but they do not directly measure the probability of receiving a citation.

AI Models, Visibility Metrics and Brand Presence

Different AI models may produce different recommendations for the same question. Comparing responses from multiple assistants provides a broader picture of brand exposure than relying on one platform.

Useful visibility metrics include citation frequency, brand mention rate, referral conversions and the consistency of recommendations across repeated tests.

Because generated responses can change, record the model or product, query wording, testing date and relevant location.

AI Visibility Tracking and Competitive Analysis

AI visibility tracking helps businesses understand how frequently their brand appears in generated answers, citations and recommendations. Monitoring these results over time reveals visibility trends and opportunities for improvement.

Which Visibility Metrics Should You Track?

A practical measurement framework combines quantitative visibility data with qualitative analysis of generated responses.

  • AI brand visibility: How frequently your business is mentioned across a defined set of relevant queries.
  • Citation frequency: How often your website is referenced as a source in generated answers.
  • Competitive visibility: How your brand's presence compares with competitors for equivalent questions.
  • Visibility trends: Changes in citation and mention rates across repeated measurement periods.
  • AI referral performance: Website sessions and conversions attributable to identifiable assistant referrals.

How to Compare Brand Presence Over Time

Select a consistent group of questions and evaluate responses from relevant AI models and search-enabled assistants. Record the date, platform, brand mentions, citations and competing sources.

Compare equivalent testing periods to identify changes in brand exposure. Because responses vary between runs, locations and users, treat these measurements as sampled observations rather than guaranteed platform-wide rankings.

Build a Monthly AI Visibility Report

A monthly report can combine AI visibility data, citation frequency, referral traffic and competitive observations in one place.

Metric Measurement Business Value
Brand mention rate Mentions divided by evaluated responses Measures observed brand exposure
Citation rate Citations divided by evaluated responses Tracks source attribution
Competitive share Comparison with selected competitors Identifies relative visibility
Referral conversions Leads from identifiable AI referrals Connects exposure with business results
Visibility trends Changes across equivalent test periods Supports ongoing optimization decisions

Use these results to identify underperforming topics, improve important pages and prioritize content updates based on actual business value.

Checklist for content quality, technical accessibility and AI visibility measurement

AI Visibility Optimization Checklist

Use this checklist when publishing or updating an important page.

Content and Structure

  • Use one descriptive H1 heading.
  • Organize content with logical H2 and H3 sections.
  • Answer important questions directly.
  • Include accurate definitions and practical examples.
  • Cover related concepts naturally.
  • Remove unnecessary keyword repetition.
  • Support important claims with evidence.

Technical Optimization

  • Confirm appropriate crawling and indexing access.
  • Check canonical URLs and redirects.
  • Review relevant crawler permissions.
  • Make essential content accessible in HTML.
  • Implement accurate structured data.
  • Optimize loading performance.
  • Repair broken internal links.

Brand and Authority

  • Maintain consistent organization information.
  • Identify authors and publishers.
  • Connect related topics with internal links.
  • Publish original information and examples.
  • Keep service descriptions accurate.
  • Update outdated material.

Measurement

  • Define a representative query set.
  • Monitor source citations.
  • Record brand mentions.
  • Analyze identifiable referral traffic.
  • Track conversions and qualified leads.
  • Compare results using consistent methods.

Common Optimization Mistakes to Avoid

Keyword Stuffing

Repeating the same phrase excessively does not make a page more authoritative. Use natural language, related concepts and accurate explanations.

Publishing Generic AI-Generated Content

Articles that repeat common advice without evidence, examples or expertise provide limited differentiation. AI writing tools can assist drafting, but content should be reviewed for originality and accuracy.

Ignoring Search Intent

A page may contain relevant terminology while failing to answer the user's actual question. Prioritize useful information over keyword counts.

Treating Schema as a Ranking Shortcut

Structured data cannot compensate for inaccurate information, weak content or technical problems. Use it to describe genuine page properties.

Blocking Important Crawlers

Incorrect access rules may prevent compatible systems from retrieving public information. Review permissions in accordance with your organization's content-use policies.

Creating Duplicate Content Clusters

Multiple articles targeting nearly identical intent can make a website harder to navigate. Give each page a distinct purpose.

Measuring Only One Assistant

A business may be mentioned by one assistant but absent from another. Evaluate representative queries across relevant services.

Expecting Immediate Results

Discovery, indexing and source selection vary by provider. Use repeated measurements rather than expecting guaranteed results within a fixed period.

Sustainable AI visibility strategy combining content, technical SEO and brand authority

Final Thoughts: Building Sustainable AI Visibility

Improving online discoverability is not about manipulating AI models or repeating keywords throughout every paragraph.

It is about making your website a useful, accessible and trustworthy information source. The strongest long-term approach combines technical SEO, clear answers, relevant content, structured data and consistent entity signals.

Start by improving your most important pages. Make explanations easier to understand, strengthen supporting evidence and connect related topics through meaningful internal links.

Then measure what changes: source citations, brand mentions, qualified referral traffic and conversions.

AI-powered discovery will continue to evolve, but accurate information, strong website architecture and genuine expertise remain valuable foundations for digital visibility.

Related AI SEO Resources

Explore these additional Braingow resources:

Ready to Improve Your Digital Visibility?

At Braingow, we help businesses strengthen their digital presence through website development, technical SEO, content optimization and AI-focused search strategies.

Whether you want to improve organic performance, build topical authority or prepare your content for conversational discovery, a structured approach can help identify practical opportunities.

Contact Braingow to discuss your website's SEO, AEO and GEO optimization strategy.

Related AI SEO Topics

  • AI Visibility

    Understand how brands become discoverable and referenced in AI-powered experiences.

  • Generative Engine Optimization

    Improve content relevance, accessibility and citation opportunities.

  • ChatGPT SEO

    Explore optimization for conversational assistants and search-enabled AI tools.

  • Entity SEO

    Strengthen brand identity and topical relationships.

  • Structured Data & Schema

    Describe website information with accurate machine-readable markup.

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AI Search Visibility Questions, Answered.

Learn how GEO, AEO, semantic SEO and structured data help your website become easier for AI systems to understand, trust and reference in AI-generated answers.

What is AI search visibility?

AI search visibility refers to how often your website appears, gets referenced, or influences answers generated by AI-powered platforms such as ChatGPT, Google AI Overviews, Gemini, Claude and Perplexity.

What is Generative Engine Optimization?

Generative Engine Optimization, or GEO, is the process of optimizing your content so AI systems can understand, trust and use it in AI-generated answers, summaries and conversational search results.

How is GEO different from traditional SEO?

Traditional SEO focuses on rankings, keywords and organic traffic. GEO focuses on AI understanding, semantic relevance, structured content and being selected as a trusted source in AI-generated answers.

How can I optimize my website for ChatGPT and AI search?

To optimize for ChatGPT and AI search, create clear answer-focused content, use semantic SEO, add structured data, improve entity signals, build topical authority and make your website technically easy to crawl.

Does structured data help AI search visibility?

Yes. Structured data helps search engines and AI systems better understand your content, services, organization, authorship and page purpose. It improves machine readability and supports stronger AI visibility.

What tools can help improve AI search visibility?

SEO tools like Semrush can help identify technical SEO issues, keyword intent opportunities, content gaps, competitor insights and optimization improvements that support AI search visibility.

Is traditional SEO still important for AI search?

Yes. Traditional SEO is still important because AI systems rely on accessible, authoritative and well-structured web content. The best strategy combines SEO, AEO and GEO for stronger long-term visibility.