AI Share of Voice (AI SoV): How to measure your brand’s presence in AI search

AI-generated search results are changing the way brands compete for visibility. Instead of traditional SEO rankings, businesses now need to track how often they appear in AI-driven responses from platforms like ChatGPT, Microsoft Copilot, Google Gemini, and Grok.

This is where AI Share of Voice (AI SoV) comes in.

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Table of Contents

1. AI share of voice (AI SoV) defined

2. Why AI share of voice matters

3. Why AI share of voice should be weighted

4. How to calculate AI share of voice for one query on one AI platform

5. How to calculate AI SoV for one query across multiple AI platforms

6. Final thoughts

7. About the author

8. Disclaimer

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1. AI share of voice (AI SoV) defined

AI SoV is a percentage-based score that measures how frequently an AI model mentions your brand compared to competitors in response to a specific query.

Think of it like a market share metric, but instead of tracking revenue or customer reach, it tracks AI-driven visibility. The higher your AI SoV, the more AI models reference your brand as an authoritative source. The more influence you have.

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2. Why AI share of voice matters

AI-generated search is rapidly influencing purchasing decisions, and being referenced by AI platforms can directly impact your brand’s success. A strong AI SoV brings measurable benefits:

• More website visitors - Higher visibility in AI-generated search leads to increased organic traffic.

• Better quality leads - AI recommendations position your brand in front of relevant audiences actively seeking solutions.

• Higher sales conversions - Customers trust AI-driven answers, increasing the likelihood of conversions.

• Stronger brand authority - Consistent AI mentions reinforce your brand as an industry leader.

• Competitive advantage - Tracking AI SoV helps you stay ahead of competitors in emerging AI search trends.

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3. Why AI share of voice should be weighted

Unlike traditional Share of Voice calculations, where each mention is counted equally, AI-generated search results require a weighted approach.

Here’s why:

1. Different AI platforms list different numbers of brands – One AI model might only mention a single company, while another lists 20.

2. Ranking order matters – Being the first brand mentioned in an AI-generated response carries more influence than being third or tenth.

3. A standardised method is needed – A simple, scalable system allows fair comparisons regardless of how many brands are listed.

This is why we use a reciprocal weighting system (1/place) for AI SoV. This method ensures that each brand’s visibility is fairly represented, no matter how many brands an AI model includes.

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4. How to calculate AI share of voice for one query on one AI platform

Recommendation: Focus on generic queries (where multiple brands could be mentioned) for a more meaningful competitive SoV

Let’s say you ask ChatGPT: “What’s the best online broker for international investors?” and receive this ranking:

1. Brand A

2. Your Brand

3. Brand C

4. Brand D

To calculate your weighted AI SoV:

1. Give the place a value, e.g. 1st = 1, 2nd = 2, 3rd = 3 and so on.

2. Assign a weight to each position using the formula 1/place value:

   • 1st place = 1.00 (1/1)

   • 2nd place = 0.50 (1/2)

   • 3rd place = 0.33 (1/3)

   • 4th place = 0.25 (1/4)

3. Identify your brand’s weighted score:

   • Your brand is in 2nd place, so your score is 0.50.

4. Add up all weighted scores:

   • 1.00 (Brand A) + 0.50 (Your Brand) + 0.33 (Brand C) + 0.25 (Brand D) = 2.08

5. Calculate your AI SoV:

   • (Your Brand’s Weighted Score ÷ Total Weighted Mentions) × 100

   • (0.50 ÷ 2.08) × 100 = 24.0% AI SoV

This means your brand holds 24% of the AI-generated response share for this query on ChatGPT.

Competitor benchmarking table for ChatGPT response (4 brands mentioned)

Brand	Position Value	Weighted Score	AI SoV (%)
Brand A	1	1.00	48.0%
Your Brand	2	0.50	24.0%
Brand C	3	0.33	16.0%
Brand D	4	0.25	12.0%
Total Weighted Mentions		2.08	100.0%

Key Insight: Brand A is winning AI search responses for this query, meaning your brand needs to improve authority signals or optimise content to increase AI visibility.

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5. How to calculate AI SoV for one query across multiple AI platforms

When measuring AI Share of Voice (AI SoV) across multiple AI platforms, the number of brands mentioned can vary significantly between responses. This means we need to apply the same weighted SoV calculation separately for each platform before averaging the results.

Here’s how to do it step by step:

Step 1: AI SoV calculation for each AI platform

For example, let’s say we ask the same query to different AI models:

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Grok response (5 brands mentioned)

Brand	Position Value	Weighted Score	AI SoV (%)
Brand B	1	1.00	43.8%
Your Brand	2	0.50	21.9%
Brand X	3	0.33	14.6%
Brand Y	4	0.25	10.9%
Brand Z	5	0.20	8.8%
Total Weighted Mentions		2.28	100.0%

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Microsoft copilot response (2 brands mentioned)

Brand	Position Value	Weighted Score	AI SoV (%)
Brand C	1	1.00	66.7%
Your Brand	2	0.50	33.3%
Total Weighted Mentions		1.50	100.0%

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Google Gemini response (7 brands mentioned)

Brand	Position Value	Weighted Score	AI SoV (%)
Your Brand	1	1.00	38.6%
Brand A	2	0.50	19.3%
Brand C	3	0.33	12.9%
Brand B	4	0.25	9.6%
Brand X	5	0.20	7.7%
Brand Y	6	0.17	6.4%
Brand Z	7	0.14	5.5%
Total Weighted Mentions		2.59	100.0%

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Step 2: Create an AI SoV master score table

Once we have calculated AI SoV for each platform, we can compare overall rankings for all brands.

AI SoV master score table

Brand	ChatGPT SoV	Grok SoV	Microsoft Copilot SoV	Google Gemini SoV	Average AI SoV
Your Brand	24.0%	21.9%	33.3%	38.6%	29.4%
Brand A	48.0%	0%	0.0%	19.3%	16.8%
Brand B	0.0%	43.8%	0.0%	9.7%	13.4%
Brand C	16.0%	0.0%	66.7%	12.7%	23.9%
Brand D	12.0%	0.0%	0.0%	0.0%	3.0%
Brand X	0.0%	14.6%	0.0%	7.7%	5.6%
Brand Y	0.0%	10.9%	0.0%	6.4%	4.3%
Brand Z	0.0%	8.8%	0.0%	5.6%	3.6%
Sum	100.00%	100.00%	100.00%	100.00%	100.00%

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Step 3: Final AI SoV ranking order & strategy

Here’s the final ranking based on overall AI SoV:

1. Your Brand – 29.4%

2. Brand C – 23.9%

3. Brand A – 16.8%

4. Brand B – 13.4%

5. Brand X – 5.6%

6. Brand Y – 4.3%

7. Brand Z – 3.6%

8. Brand D – 3.0%

This ranking shows who is leading in AI visibility and who needs to improve. In this case, your brand is currently in first place overall, but competitors like Brand C and Brand A are still close behind.

By targeting weaker-performing platforms like Grok and ChatGPT, you can increase your AI visibility and ensure your brand is referenced more often in AI-generated search results.

This approach ensures a practical, real-world way to measure AI visibility across multiple AI models, giving you clear insights into where to focus your GAIO strategy.

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6. Final Thoughts

Tracking AI Share of Voice is essential in a world where AI-generated search influences how businesses and consumers find information. AI SoV provides a clear, data-driven way to measure your brand’s AI visibility and compare it against competitors.

By understanding which AI platforms mention your brand the most and identifying gaps in visibility, you can fine-tune your AI-optimised content strategy to improve brand authority and increase your presence in AI-generated search results.

If you’d like an AI visibility audit to measure your brand’s performance across AI search platforms, contact us. We can help you gain the insights needed to enhance your AI presence and ensure your brand remains a top reference in AI-generated results.

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7. About the author

Sophie Carr is the founder of GAIO Marketing Pte. Ltd. and an expert in ranking in AI.

She helps enterprises transition from traditional SEO to AI search optimisation with the tools, training, and services needed to secure authority in AI-powered search engines like Chat GPT, Grok and Microsoft Copilot.

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8. Disclaimer

This blog was written with the assistance of AI tools for structuring, research, and clarity. The core insights, strategies, and expertise are entirely Sophie Carr’s original thought leadership. AI was used as an efficiency tool, much like a spellchecker or a literacy calculator, to streamline content creation while preserving authenticity.

GAIO Marketing Case Study: How Can Enterprises Rank in AI Search?

Table of Contents

1. Why SEO Requires a New Approach

2. Case Study: What is GAIO Marketing?

   • How AI Share of Voice (AI SoV) Changed in 3 Months

   • What GAIO Marketing Means for Enterprises

3. How CMOs and Marketing Leaders can get started with GAIO marketing

   • Step 1: Conduct an AI Search Audit

   • Step 2: Onboard a GAIO Marketing Trainer

   • Step 3: Develop an AI-Optimised Content Strategy

   • Step 4: Implement AI Trust Signals and Authority Building

   • Step 5: Continuously Monitor & Adapt AI Search Performance

4. How to Choose the Right GAIO Marketing Consultant for Your Enterprise

   • Step 1: Define Your GAIO Marketing Goals

   • Step 2: Evaluate Expertise in AI Search Optimisation

   • Step 3: Assess Their Track Record and Case Studies

   • Step 4: Understand Their Approach to GAIO Implementation

   • Step 5: Ask the Right Questions Before Hiring

   • Final Checklist: Choosing the Right GAIO Consultant

5. About the Author

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1. Why SEO Requires a New Approach

AI search is redefining how brands gain visibility. Since ChatGPT’s release in 2022, one question has shaped my research:

“How do you rank in AI?”

The answer isn’t traditional SEO tactics—AI doesn’t play by the same rules.

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2. Case Study: What is GAIO marketing?

Think of GAIO like the SEO rush of the early 2000s. Back then, CMOs who cracked Google’s code (e.g., optimising for PageRank) won markets. Today, mastering AI’s “answer engine” is the same play—get it right, and you’re the default choice.

But how does GAIO work in practice? Let’s look at a real-world test.

Grok Query: What is GAIO marketing?

How to rank in AI

I’ve been testing AI search across platforms, and when I asked Grok—Elon Musk’s AI assistant “What is GAIO marketing?”, our website was the first source linked to the answer.

That wasn’t an accident.

It means our pioneering AI search strategies are working. Not just on one platform, but across multiple AI search engines.

If AI models are shaping the future of search, being referenced first isn’t optional—it’s a competitive advantage.

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How AI Share of Voice (AI SoV) Changed in 3 Months

As a benchmark, just three months ago, ChatGPT, Microsoft Copilot, and Google Gemini didn’t reference our GAIO Marketing website at all.

Our AI Share of Voice was 0%.

Here’s how I changed that:

✅ Developed a simple weighted AI Share of Voice formula to measure AI search visibility. It was important to me that first place was weighted higher, to reflect the real value of ranking first.

✅ Conducted a full AI visibility audit based on this formula.

✅ Created structured training materials with my original research.

✅ Trained a strategic Custom GPT to generate a GAIO marketing strategy.

✅ Started creating and sharing the content on the GAIO marketing blog.

ChatGPT Query: What is GAIO marketing?

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AI Share of Voice Results for the query "What is GAIO marketing?":

1. Grok: GAIO-Marketing.com was listed in first place out of 25, our AI Share of Voice score is 26.21%.

2. ChatGPT: Listed in first place again, an increase from 0% to 54.5% AI SoV in just 3 months.

3. Microsoft Copilot: Our biggest success, we grew from 0% to 100% AI SoV in the same timeframe (as of 21/02/25).

   

   Microsoft Copilot Query: What is GAIO marketing?

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What GAIO Marketing Means for Enterprises

'If you are reliant on Google for traffic, and that traffic is what drove your business forward, you are in long- and short-term trouble.' - Rand Fishkin, cofounder of SparkToro

Enterprises that fail to adapt risk being entirely left out of AI-generated responses.

The brands that act now will lead in the AI visibility race.

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3. How CMOs and Marketing Leaders can get started with GAIO marketing

Securing AI search visibility requires a structured approach.

By focusing on measurement, training, and content optimisation, enterprises can ensure their brand is referenced in AI-generated results. Here are the key steps to implement a GAIO Marketing strategy:

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Step 1: Conduct an AI Search Audit

Before developing a GAIO strategy, CMOs need to assess their brand’s current AI search visibility.

This means understanding:

• Where your brand appears in AI-generated search results (if at all)

• Which competitors are being referenced more frequently

• What AI-powered search engines prioritise in your industry

• How structured and AI-friendly your content currently is

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Step 2: Onboard a GAIO Marketing Trainer

AI search isn’t static—it evolves rapidly. To keep up, enterprises need internal teams trained in GAIO strategies.

Onboarding a GAIO Marketing trainer ensures:

• Your content team understands AI-first structuring

• Your SEO and digital teams can implement schema markup and structured data

• Your executives and marketing leaders can track and measure AI Share of Voice

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Step 3: Develop an AI-Optimised Content Strategy

AI search engines don’t just look for relevant content—they prioritise structured, trusted sources.

Your brand must produce content that AI models can easily retrieve and rank.

• Create knowledge hubs (pillar pages + interlinked content clusters)

• Use structured data and schema markup for AI-friendly formatting

• Ensure conversational formatting to match AI-generated responses

• Track and refine AI Share of Voice to measure brand mentions in AI search

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Step 4: Implement AI Trust Signals and Authority Building

AI search prioritises high-trust sources when curating responses. Your brand needs to signal expertise, authority, and credibility through:

• Consistent brand messaging across all AI-referenced platforms

• High-value thought leadership content in AI-recognised sources

• Industry recognition, partnerships, and citations in expert-led publications

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Step 5: Continuously Monitor & Adapt AI Search Performance

AI-generated search evolves fast, and ranking isn’t a one-time effort. Enterprises must continuously track, test, and refine their AI search visibility.

• Monitor AI-generated search results regularly for brand mentions

• Adjust content strategies based on AI search trends

• Measure AI Share of Voice and refine AI-first content structures

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4. How to Choose the Right GAIO Marketing Consultant for Your Enterprise

How do you choose the right GAIO consultant for your enterprise? With AI search still evolving, selecting the right expert can mean the difference between leading the conversation or being left out entirely.

This guide outlines key factors, essential questions, and a checklist to help you find the right GAIO consultant who aligns with your enterprise goals.

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Step 1: Define Your GAIO Marketing Goals

Before hiring a GAIO consultant, clarify why your enterprise needs GAIO marketing and what success looks like. Consider:

• Are you looking to increase AI search visibility on platforms like ChatGPT, Google Gemini, and Microsoft Copilot?

• Do you need help structuring AI-first content for maximum discoverability?

• Are you focused on measuring AI Share of Voice to track your brand's presence in AI-generated search results?

• Does your team need GAIO training to future-proof your marketing strategy?

Clearly outlining your goals ensures you hire a consultant with the right expertise to deliver results.

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Step 2: Evaluate Expertise in AI Search Optimisation

GAIO is still a new and evolving field, so your consultant must demonstrate deep expertise in:

• AI Search Ranking Strategies

  • Can they explain how AI search engines rank and reference brands?

  • Do they have proven frameworks for optimising content for AI-generated responses?

• AI Share of Voice Tracking

  • Do they track and measure AI brand visibility beyond traditional SEO metrics?

  • Can they provide case studies or examples of improved AI Share of Voice?

• Structured Content & AI Trust Signals

  • Do they help enterprises build knowledge hubs that AI models reference?

  • Can they implement schema markup, entity-based content, and AI-first structuring?

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Step 3: Assess Their Track Record and Case Studies

The best GAIO consultants can back up their strategies with real-world results. When evaluating a consultant, ask:

• Can they provide case studies of improved AI search visibility?

• What measurable success have they achieved for brands in AI-generated search results?

Look for data-driven insights rather than vague promises. If they can show how they’ve helped other companies rank in AI, they’re more likely to help you succeed.

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Step 4: Understand Their Approach to GAIO Implementation

Not all GAIO strategies are the same. The right consultant will have a clear, structured approach that includes:

• AI Visibility Audit – An assessment of where your brand currently stands in AI search.

• Knowledge Tree Mapping – Structuring your content to align with how AI models retrieve information.

• AI Trust Building – Enhancing authority signals so AI platforms consistently reference your brand.

• Performance Tracking & Reporting – Ongoing monitoring of AI Share of Voice and AI-driven traffic growth.

A consultant should not only optimise but also educate your team to ensure long-term GAIO success.

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Step 5: Ask the Right Questions Before Hiring

Before making a decision, ask potential GAIO consultants these critical questions:

1. What specific strategies do you use to improve AI search visibility?

A strong consultant should detail AI-first content structuring, entity-based strategies, and Share of Voice tracking.

2. How do you measure success in AI search optimisation?

Look for metrics like increased brand mentions in AI search, improved AI Share of Voice, and AI-driven traffic growth.

3. Can you provide a case study of a brand you’ve helped rank in AI search?

They should have concrete examples demonstrating AI search success.

4. How do you ensure long-term visibility, not just short-term results?

A great consultant will focus on building AI-first content foundations that sustain rankings over time.

5. Do you offer training for internal teams?

Enterprises need to build AI-first marketing capabilities. A consultant should empower your team with GAIO knowledge.

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Final Checklist: Choosing the Right GAIO Consultant

Before making your final decision, use this checklist:

✅ Understands AI search ranking and GAIO strategies

✅ Can provide case studies with measurable results

✅ Offers AI-first content structuring and knowledge tree mapping

✅ Tracks AI Share of Voice and brand visibility in AI search

✅ Provides ongoing reporting and strategy adjustments

✅ Offers training to build internal GAIO capabilities

If a consultant meets all these criteria, they’re well-equipped to help your enterprise secure AI search visibility and become the go-to source in AI-generated results.

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5. About the Author

Sophie Carr is the founder of the GAIO Marketing Academy and an expert in ranking in AI.

She helps enterprises transition from traditional SEO to AI search optimisation with the tools, training, and strategies needed to secure authority in AI-powered search engines like Chat GPT, Grok and Microsoft Copilot.

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Disclaimer:

This blog was written with the assistance of AI tools to support structure, research, and clarity. The core ideas, insights, and thought process are entirely Sophie Carr's. AI was used similarly to spellcheck—to streamline the writing process and accelerate content creation while maintaining originality and authenticity.

AI Ranking Optimisation: How to Get Featured in AI-Generated Search Results

AI usage has skyrocketed since the release of ChatGPT—and it’s only getting faster. At the recent Europe AI Action Summit 2025, the EU announced a €200 billion investment into AI innovation. With 12 AI Factories already live and AI Gigafactories on the way, we’re entering a new era of AI-first search.

This shift marks a huge opportunity for marketers who understand how generative AI works. 95% of buyers plan to use GenAI in their decision-making process in the next 12 months (Forrester). If you want your content to show up in AI-driven search results, now is the time to adapt.

Here's how you can position your content to get featured.

Table of Contents

1. How Do I Rank in AI-Generated Search Results?

2. How to Build Knowledge Clusters to Rank in AI Search

3. Optimising Content for AI Search Rankings

4. Building Trust to Rank Higher in AI Search

5. Monitoring Your AI Search Rankings Over Time

6. Final Thoughts

7. Discussion Point

8. About the Author

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1. How Do I Rank in AI-Generated Search Results?

AI search tools like ChatGPT, Google Gemini, and Bing AI don’t just mirror Google’s search rankings. These tools use advanced language models to find clear, authoritative answers to user questions.

Here’s what matters most:

• Relevance: AI prioritises content that aligns with user intent, entity relationships, and semantic search.

• Trust: AI favours brands with authoritative citations, PR mentions, and third-party endorsements.

• Structure: AI processes structured data (schema markup, metadata, and Knowledge Trees) to organise information.

• Freshness: AI rewards content that is frequently updated, time-sensitive, and newsworthy.

• Redundancy: AI deprioritises repetitive or low-value content that lacks new insights.

Tip: Run an AI Visibility Audit to see how often your content appears in AI-generated responses.

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2. How to Build Knowledge Clusters to Rank in AI Search

Generative AI looks for patterns across related content. If your content stands alone, it’s less likely to be seen as authoritative.

That's why you should create knowledge clusters - or as I like to call them: GAIO Knowledge Trees.

The GAIO Knowledge Tree:

AI search thrives on structured, interconnected content—just like a tree.

• The ground represents your core category.

• The trunk is the key question your audience asks.

• The branches are the content pieces answering that question.

• The leaves are supporting resources like videos, infographics, or case studies.

• The roots are the links connecting your content in your backlink strategy.

AI models favour brands that create clear, knowledge-rich ecosystems like GAIO Knowledge Trees—not disconnected content silos. As they are all organised in a category, a group of GAIO Knowledge Trees that share the same ground, you can consider this cluster a GAIO Knowledge Forest.

This GAIO strategy visualisation helps enterprises structure these clusters and answer real audience questions, building authority in your space and increasing your AI visibility share of voice score.

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3. Optimising Content for AI Search Rankings

AI-first search demands more than surface-level optimisation. Here’s how to get AI tools to notice your content:

• Use Schema Markup: Help AI understand context through structured data.

• Answer Questions Directly: Write content that mirrors how users phrase questions.

• Keep Content Fresh: AI rewards updated, accurate information.

Tip: Think like your customer. Write content as if you’re having a conversation and answering their question directly.

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4. Building Trust to Rank Higher in AI Search

The EU AI Action Summit stressed that safety, accuracy, and trust are central to Europe's AI strategy. The same principles apply to your content.

Here’s how you can build AI-friendly trust:

• Cite Industry Sources: Reference reliable publications and research.

• Earn Authoritative Backlinks: Partner with industry leaders for collaborations.

• Showcase Expertise: Add author bios, case studies, and data sources to your posts.

Fact: The EU’s €200 billion AI investment signals long-term growth. AI isn’t going anywhere—start optimising your content for the new search ecosystem now to win in this space.

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5. Monitoring Your AI Search Rankings Over Time

AI search is evolving rapidly. Regular monitoring helps you stay ahead.

Key metrics to watch:

• AI Mentions: Track how often your content is referenced in AI tools like Bing AI using the AI Share of Voice formula.

• Performance of Knowledge Clusters: Identify which clusters are gaining visibility.

• Emerging User Questions: Keep an eye on shifting trends to maintain relevance.

GAIO Marketing tools can help track these metrics with detailed AI visibility reports.

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6. Final Thoughts

Generative AI is becoming the go-to for search. The EU's substantial investment in AI infrastructure signals that AI search is here to stay. As these tools continue to evolve, brands that invest in knowledge clusters and value-driven content will dominate AI-generated search results.

The opportunity is clear: adapt your content now to get ahead, or risk being left behind.

Ready to optimise your content for AI search?

Learn more about GAIO Marketing and how we help brands stay visible in the age of AI.

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7. Discussion Point

How is your brand preparing to rank in AI-generated search results?

Share your thoughts in the comments below!

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8. About the Author

Sophie Carr is the founder of GAIO Marketing and a recognised expert in AI-first search optimisation.

She helps brands build knowledge clusters that AI tools trust and reference—ensuring businesses stay visible in an increasingly AI-driven world.

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Disclaimer:

This blog was written with the assistance of AI tools to support structure, research, and clarity. The core ideas, insights, and thought process are entirely Sophie Carr's. AI was used similarly to spellcheck—to streamline the writing process and accelerate content creation while maintaining originality and authenticity.