Customer Success Story: A B2B Technology PR Agency Used Brandi AI to Increase Citations, Search Visibility, and Qualified Leads
Gabriel Marketing Group (GMG), a B2B technology public relations agency, used Brandi AI’s brand intelligence, AI visibility, and Generative Engine Optimization platform to improve how often the agency appeared and was cited in AI-generated answers. Within 120 days, GMG increased AI-generated answer mentions by 830%, raised its domain citation rate by 1,746% across seven major AI models, and increased its Google AI Overviews citation rate by 6,186%. This AI visibility case study shows how GMG’s campaign connected AI visibility intelligence with a broader brand, communications, and digital visibility strategy while also improving traditional search performance and generating three highly qualified leads directly attributed to AI-driven discovery.
Key Takeaways
- Gabriel Marketing Group used Brandi AI to turn AI visibility data into measurable action.
- AI-generated answer mentions increased by 830% within 120 days.
- GMG’s domain citation rate increased by 1,746% across seven major AI models.
- Google AI Overviews visibility and traditional search performance improved alongside AI visibility.
- The campaign produced commercial results and independent industry recognition.
AI-generated answers are quickly becoming part of how buyers discover, compare, and evaluate companies. For Gabriel Marketing Group (GMG), a B2B technology public relations agency, that shift raised a practical question: could a small PR firm improve how often AI systems surfaced and cited its expertise, even while competing against agencies with far larger brands and budgets?
GMG partnered with Brandi AI to find out. The agency established a measurable baseline for its position across relevant AI-generated answers and gained a clearer understanding of how the brand appeared within AI-mediated discovery. GMG then used that intelligence to inform a broader visibility, communications, and market-authority strategy.
Within 120 days, GMG increased mentions in AI-generated answers by 830% and its domain citation rate across seven major AI models by 1,746%. Its citation rate in Google AI Overviews rose 6,186%, traditional search performance improved, and three highly qualified business leads were directly attributed to AI-driven discovery.
The campaign ultimately earned Gabriel Marketing Group and Brandi AI the Gold award for Best Answer Engine Optimization Results in a Campaign in the 2026 Bulldog PR Awards. More importantly, the results provide a measurable example of how AI visibility intelligence can help organizations better understand their position in AI-driven discovery and make more informed decisions about brand visibility, authority, and market presence.
Key Results From Gabriel Marketing Group’s AI Visibility Campaign
| Performance Area | Result Within 120 Days |
|---|---|
| AI-generated answer mentions | Increased 830% |
| Competitive position | Moved to second overall for relevant B2B technology PR queries |
| Domain citation rate across seven major AI models | Increased 1,746% |
| Citation frequency across relevant AI answers | Cited in nearly one in four answers |
| Google AI Overviews citation rate | Increased 6,186% |
| Google AI Overviews citation frequency | Cited in nearly one in two relevant answers |
| Ranked keywords | Increased 250% |
| Search click-throughs | Increased 300% |
| Search impressions | Increased 900% |
| New high-value keyword rankings | Ranked for seven high-value keywords for the first time |
| AI-attributed lead generation | Generated three highly qualified business leads |
The Challenge: Strong Market Expertise Did Not Automatically Create AI Visibility
Gabriel Marketing Group had spent years helping technology companies build visibility, credibility, and market authority. But as buyers increasingly used AI platforms to research agencies, compare providers, and evaluate expertise, GMG faced a new business question:
Would AI answer engines recognize and surface the agency when prospective buyers researched B2B technology PR?
Traditional marketing and public relations metrics could not fully answer that question.
Search rankings showed where GMG appeared in conventional search results. Website analytics showed how visitors interacted with the agency’s site. Media monitoring showed where the company earned coverage.
Those systems did not provide a complete view of whether AI platforms mentioned GMG, cited its website, surfaced competitors more often, or included the agency in answers relevant to potential buyers.
GMG needed a measurable baseline for understanding its position inside AI-generated discovery.
How Brandi AI Established a Measurable View of GMG’s AI Visibility
Through its strategic partnership with Brandi AI, GMG established a baseline for how the agency appeared across relevant AI-generated answers.
Brandi AI provided a measurable view of GMG’s brand visibility, citations, competitive position, and performance over time across major AI platforms. The analysis helped the agency better understand where its brand was gaining traction and where opportunities for improvement remained.
The resulting intelligence gave GMG a more informed foundation for evaluating its broader visibility strategy and measuring change over time.
That distinction mattered. Rather than relying only on assumptions about how the market was evolving, GMG could use observable AI visibility data to better understand its position within a rapidly changing discovery environment.
How GMG Used AI Visibility Intelligence to Support a Broader Brand Strategy
Measurement was the starting point, not the end goal.
GMG used Brandi AI’s intelligence to inform a broader, integrated approach to brand visibility and market authority. Rather than treating AI visibility as an isolated technical exercise, the agency considered it alongside its existing communications, content, reputation, and business-development priorities.
The strategy focused on strengthening the clarity, relevance, and authority of GMG’s public presence while continuously measuring changes in how the agency appeared across AI-generated answers.
Specific campaign tactics, prioritization methods, and optimization processes remained part of GMG’s internal strategic approach.
GMG Strengthened the Clarity of Its Digital Presence
As part of the broader initiative, GMG reviewed how clearly and consistently its public digital presence communicated the agency’s expertise, market position, and value to prospective clients.
The agency made targeted improvements designed to reduce ambiguity, strengthen useful information, and create a more coherent representation of the brand across relevant digital touchpoints.
The work supported both human audiences and the increasingly AI-mediated ways that companies are researched and evaluated.
Rather than treating visibility as a matter of simply publishing more material, GMG focused on the overall quality and usefulness of its public presence. The objective was to ensure that prospective clients and emerging AI-driven discovery systems encountered a clearer representation of the agency and its expertise.
GMG Expanded Its Public Body of Expertise
GMG also strengthened its published thought leadership around issues important to B2B technology leaders evaluating public relations, market visibility, and emerging AI-driven discovery.
The agency focused on producing substantive, useful content grounded in genuine market questions and areas where GMG had relevant expertise. The goal was to create a stronger and more complete public body of knowledge rather than simply increase publishing volume.
This approach gave GMG additional opportunities to contribute informed perspectives to important industry conversations while strengthening the broader public information environment surrounding the agency.
Specific topic selection, prioritization, and content-development methods remained part of GMG’s internal strategy.
GMG Continued Building Authority Beyond Its Own Website
The initiative extended beyond changes to GMG’s owned digital presence.
The agency continued investing in earned visibility and thought leadership as part of its broader effort to strengthen market credibility and reinforce its expertise across the public information environment.
The approach reflected a central principle of modern brand visibility: companies are increasingly understood through a combination of what they publish themselves and what credible external sources communicate about them.
For GMG, AI visibility therefore became part of a broader brand intelligence and reputation challenge rather than a narrow content or technical optimization exercise.
GMG Increased Mentions in AI-Generated Answers by 830%
Within 120 days, GMG’s mentions across relevant AI-generated answers increased by 830%.
The gain moved the agency to second overall for relevant B2B technology PR queries.
GMG also outperformed firms five to 10 times larger, including agencies with larger budgets and more widely recognized brands.
The result suggests that competitive visibility in AI-generated answers does not necessarily mirror company size or legacy brand recognition. Organizations that better understand their position in AI-mediated discovery and strengthen their overall public presence may be able to materially improve how they appear within those environments.
GMG’s Domain Citation Rate Increased 1,746% Across Seven Major AI Models
GMG’s domain citation rate increased by 1,746% across seven major AI models.
By the end of the campaign period, the agency was cited in nearly one in four AI-generated answers to relevant B2B technology PR queries.
That result is distinct from growth in brand mentions.
A brand mention means an AI-generated answer includes the company by name.
A citation means the company’s domain is referenced as a source supporting the answer.
GMG improved both forms of visibility, expanding not only how often the agency appeared but also how often its own domain served as cited evidence.
GMG’s Citation Rate in Google AI Overviews Increased 6,186%
The campaign produced one of its largest gains in Google AI Overviews.
GMG’s domain citation rate increased by 6,186%, with the agency cited in nearly one in two relevant AI-generated answers.
The result extended the campaign’s impact beyond standalone AI answer engines and into an AI-generated search experience.
For GMG, the increase provided further evidence that gains in AI visibility could extend across multiple forms of AI-mediated research and discovery.
Traditional Search Performance Improved Alongside AI Visibility
GMG also recorded secondary gains in traditional search performance during the campaign period.
The agency increased:
- Ranked keywords by 250%
- Click-throughs by 300%
- Search impressions by 900%
GMG also began ranking for seven high-value keywords for the first time.
The results show that stronger AI visibility and improved traditional search performance can occur alongside one another. In this campaign, growth across AI-generated discovery was accompanied by measurable gains in conventional organic search.
The outcome is particularly important for organizations trying to understand the relationship between established digital visibility practices and emerging AI-mediated discovery. The two environments do not necessarily need to be treated as competing priorities.
AI-Driven Discovery Generated Three Highly Qualified Business Leads
The campaign also produced a direct commercial outcome.
GMG generated three highly qualified business leads directly attributed to AI-driven discovery.
Those prospects found the agency through AI-mediated research rather than a conventional search or referral path.
For GMG, the result moved AI visibility beyond an emerging awareness metric. AI-generated discovery contributed to identifiable business opportunities.
That outcome also gave the agency a practical reason to measure AI visibility alongside search, media, and lead-generation performance.
The Campaign Won Gold in the 2026 Bulldog PR Awards
Gabriel Marketing Group and Brandi AI won the Gold award for Best Answer Engine Optimization Results in a Campaign in the 2026 Bulldog PR Awards.
Presented by Bulldog Reporter, the awards recognize campaigns, agencies, and communications professionals across the public relations industry. The Bulldog PR Awards are judged exclusively by working journalists.
The recognition provided independent industry validation of the campaign’s measurable results and the growing role of AI visibility in modern communications strategy.
Why GMG’s Results Matter for Brands Competing in AI Discovery
The GMG campaign reflects a broader change in how buyers research companies and markets.
AI platforms can influence how people discover providers, understand categories, compare options, and form early impressions before visiting a company website.
Traditional search visibility remains important, but rankings and traffic do not show the full picture. Organizations also need a clearer understanding of whether they are being recognized accurately, included in relevant conversations, cited as sources, and represented competitively within AI-generated answers.
Those questions require a different layer of measurement.
“AI is changing how companies are found, understood and evaluated, and this award confirms that AEO and GEO are essential to brand intelligence and modern brand strategy,” said Leah Nurik, CEO of Brandi AI. “As AI platforms shape early perceptions of brands, markets and leadership, PR is essential to influencing the narratives, sentiment and authority signals those AI systems surface. Gabriel Marketing Group’s results show what is possible when owned content, earned credibility and AI visibility intelligence work together.”
Five Lessons From GMG’s AI Visibility Strategy
GMG’s campaign offers several broad lessons for organizations trying to improve visibility in AI-generated answers without reducing AI visibility to a single tactic or channel.
1. Establish an AI Visibility Baseline Before Evaluating Progress
Organizations need a measurable understanding of their current position before they can determine whether visibility is improving.
A baseline can reveal whether a brand appears in relevant AI-generated answers, how its position compares with competitors, and how visibility changes over time.
Without that starting point, organizations risk making decisions based on isolated examples or assumptions rather than measurable patterns.
2. Make Public Content More Relevant to Real Market Needs
Organizations should evaluate whether their public content addresses substantive questions, concerns, and information needs shaping decisions in their market.
Useful content is more likely to strengthen both human understanding and the broader digital signals surrounding a brand than publishing driven by volume alone.
The goal should not be to create more content simply because AI discovery is growing. Organizations need a stronger public body of useful expertise.
3. Reduce Ambiguity Across the Brand’s Public Presence
Clear, consistent information helps customers, partners, media, and emerging AI-driven discovery systems form a more accurate understanding of a company.
Organizations should regularly evaluate whether their public presence reflects their current expertise, positioning, and market relevance.
Vague or inconsistent communication can make it harder for both people and AI systems to understand what a company represents.
4. Treat Reputation and Digital Visibility as Connected
A brand’s visibility is shaped by a wider public information environment, not a single website or communications channel.
Organizations should consider how owned communications, external credibility, and broader market presence work together to influence discovery and perception.
AI visibility therefore belongs within a wider conversation about brand intelligence, reputation, authority, and market positioning.
5. Connect AI Visibility to Business Outcomes
Mentions, citations, and competitive position can help organizations understand AI discovery, but commercial impact still matters.
GMG connected its campaign to broader business signals, including search performance and three qualified leads directly attributed to AI-driven discovery.
Organizations need measurement frameworks that show not only whether AI visibility is changing but also whether those changes are becoming relevant to business performance.
From AI Visibility Monitoring to Measurable Customer Growth
Gabriel Marketing Group’s results show what can happen when an organization moves beyond simply checking whether its brand appears in AI-generated answers.
With Brandi AI, GMG established a baseline for AI visibility, measured competitive performance, and tracked changes over time.
The agency then used that intelligence to inform a broader program designed to strengthen the clarity, relevance, authority, and discoverability of GMG’s public presence.
The specific tactical mix remained proprietary, but the strategy connected AI visibility measurement with an integrated approach to communications, content, reputation, and market positioning.
Within 120 days:
- AI-generated answer mentions increased 830%
- Domain citation rate increased 1,746% across seven major AI models
- Google AI Overviews citation rate increased 6,186%
- Ranked keywords increased 250%
- Search click-throughs increased 300%
- Search impressions increased 900%
- Three highly qualified leads were directly attributed to AI-driven discovery
The Gold Bulldog PR Award recognized the campaign’s results.
The larger customer success story is the measurable shift in how GMG appeared across AI-mediated discovery.
As AI answer engines become a more influential part of how people research companies and markets, organizations need to understand not only whether they are visible but also how their position changes over time and how that visibility connects with broader brand and business objectives.
Brandi AI is built to provide that intelligence.
Frequently Asked Questions
How should companies choose which questions to track when measuring AI visibility with Brandi AI?
At Brandi AI, we recommend focusing on questions that reflect meaningful decisions in a company’s market rather than building large prompt sets simply to generate more data. The right mix varies by category, audience, competitive environment, and business objective. Brandi AI helps organizations monitor relevant AI-generated answers so teams can better understand where the brand appears, which competitors gain visibility, and where important gaps may exist. Our point of view is that AI visibility measurement should remain connected to real market priorities rather than becoming an exercise in collecting the largest possible volume of data.
How long should a company measure AI visibility before deciding whether a Generative Engine Optimization strategy is working?
Brandi AI recommends evaluating progress over a period long enough to distinguish meaningful movement from normal variation across AI models and answers. The right timeframe depends on the starting baseline, competitive environment, scale of activity, publishing cadence, and strength of the brand’s broader public authority. We look for directional patterns across multiple signals, such as brand mentions, citation frequency, share of voice, competitive position, and performance by model. Brandi AI’s approach is to measure change against a defined baseline rather than judging success from a single answer, prompt, or short-term fluctuation.
What should companies do after Brandi AI identifies gaps in AI-generated answers?
At Brandi AI, we do not believe every visibility gap should automatically lead to more content. The right response depends on what the data shows, what audiences need, and how accurately the brand is represented across the public information environment. Brandi AI helps teams identify meaningful opportunities so they can make more informed decisions about where clarification, stronger evidence, deeper expertise, or other strategic action may be needed. The objective is to focus resources on improvements that address genuine visibility and understanding gaps rather than increasing activity without a clear strategic reason.
Why does Brandi AI view earned media and third-party sources as important to AI visibility strategy?
Brandi AI views AI visibility as a broader authority and brand intelligence challenge, not only an owned-content problem. A company’s website provides important information about its expertise, services, and point of view, but the broader public information environment can also influence how brands are represented and understood. External sources can contribute additional context, credibility, and perspective. Brandi AI therefore organizations examine AI visibility within a wider brand environment rather than treating a company’s website as the only factor shaping discovery, citations, sentiment, and competitive positioning.
See How Your Brand Appears in AI-Generated Answers
AI platforms are increasingly shaping which companies buyers discover, compare, trust, and consider. Brandi AI helps marketing, communications, and brand teams measure how their company appears across major AI platforms, benchmark visibility against competitors, track citations and sentiment, and identify opportunities to strengthen their position in AI-driven discovery.
Schedule a Brandi AI demo to see how your brand is being represented in AI-generated answers and where opportunities for greater visibility may exist.