Case Study

Dec 9, 2025

How Segwise Quadrupled AI Mentions

Segwise grew AI visibility from 21.8% to 61.8% and achieved a 4.17× lift in mentions—surpassing every tracked competitor in its industry. The brand now leads creative-intelligence visibility across AI search engines.

segwise
segwise
segwise

Key Results

4x+

Mentions 

2.8x+

Overall AI Visibility

Citations

Overview

Segwise helps performance marketers and creative teams across subscription apps, mobile games, DTC brands and agencies understand which creative ideas drive performance. Theyautomate creative tagging and analysis across ad networks, revealing the creative elements that influence ROAS. As user acquisition teams shifted their research toward AI platforms like ChatGPT, Google AI Overviews and Perplexity, these tools became a critical channel for discovering creative solutions and learning how to optimize campaigns. Segwise had strong educational content, but its insights were not consistently appearing in AI generated answers where performance marketers begin their search.

Segwise wanted clarity on how often it appeared in AI answers, which competitors were being surfaced instead, where its content naturally fit within creative analytics prompts and how to strengthen its position in a rapidly emerging category. Crossfill helped Segwise understand this landscape and identify the gaps and opportunities shaping AI driven discovery.

To validate approach and methodology, see how a similar GEO program delivered more than 15x visibility growth in another category in this case study: How Cerebro achieved 15x visibility growth. For a broader overview of GEO and AI search, visit the Crossfill blog hub and the Crossfill home page.

What Crossfill Found

1. Segwise showed up for branded queries but not for non-branded, high-intent prompts

AI engines surfaced Segwise for direct questions that explicitly referenced the brand or its platform. However, non-branded prompts such as “how to choose AI tools for mobile game creative analytics” or “what is an AI-powered creative campaign for mobile games” were often answered using competitors or general marketing sources. This revealed that Segwise had a low share of voice in non-branded queries.

2. Competitors were being positioned as primary voices in creative intelligence conversations

Generative engines frequently cited other platforms to explain concepts Segwise covers deeply, including creative analytics frameworks and automation tools. AI systems recognized the topics but did not attribute them to Segwise. This meant the conversations that should have introduced marketers to Segwise were being led by other tools instead.

Crossfill evaluated these gaps using GEO, which focuses on LLM citation engineering, schema-backed entity clarity and question-first content structure so that generative engines can identify, extract and cite authoritative fragments. Recent ACL findings also indicate that large language models reproduce human citation patterns while amplifying high-citation authority bias, meaning models preferentially surface already-visible sources unless alternative signals identify lesser-cited experts; this dynamic helps explain why stronger entity signalling is required to surface Segwise in non-branded prompts.

Crossfill Recommendations

1. Strengthen cues that help AI systems identify Segwise as an expert

Crossfill recommended refining clarity, specificity and authority signals across Segwise’s content so generative engines could better detect the depth of expertise behind each explanation. These improvements would increase the likelihood of Segwise appearing in non-branded prompts where buying journeys begin.

Benchmarks of LLM behavior show current models often omit or fail to support claims with verifiable citations unless content is explicitly retrievable or structured for extraction, which underscores the need for concise, extractable answer blocks and retrieval-friendly markup to improve citation rates (Enabling Large Language Models to Generate Text with Citations). 

2. Improve topical cohesion across creative intelligence content

Crossfill advised reinforcing relationships across Segwise’s core guides on creative analytics, creative optimization and creative generation. Creating clearer context for how these topics connect would help AI engines treat Segwise as a unified source of creative performance insight and surface its content across multiple query clusters.

How Segwise Took Action

1. Strengthened content clarity and authority across strategic guides

Segwise refined the structure and analytical depth of its educational content so generative engines could more reliably recognize its expertise. This approach focused on improving how information was communicated, aligning explanations with the way marketers phrase questions and reinforcing the cues models rely on when selecting authoritative sources.

These improvements were applied across several high-value guides, each of which saw measurable gains within a short optimization window.

  • Creative Intelligence: Examples and Insights
    Within one month, Segwise elevated this guide by tightening its narrative flow and clarifying the core creative-intelligence concepts behind each explanation. These refinements made the material more interpretable to generative engines and easier for AI systems to map to creative-analysis queries. The improvements drove a 1.34× increase in overall AI visibility, a matching lift in citations and an almost fivefold increase in mentions as the guide began surfacing more consistently across relevant prompts.

  • Enhancing Creative Campaigns with AI
    Over the same one-month period, Segwise strengthened this guide by making its insights more explicit and its structure easier for AI models to connect with optimization-oriented questions. As AI engines gained a clearer understanding of where the guide fit within creative-intelligence conversations, it began appearing across more associated prompts. This contributed to a 1.31× increase in both visibility and citations, along with a threefold rise in mentions.

2. Improved topic relationships to strengthen ownership of creative intelligence

By aligning terminology and strengthening the relationships across its creative intelligence, creative analytics and creative optimization content, Segwise made its expertise easier for AI engines to recognize at a category level. This more coherent signal translated into a strong rise in topic visibility, with AI and Automation increasing from 5.50% to 37%, a 572.5% lift.

Results

Crossfill’s GEO implementation delivered meaningful visibility gains for Segwise across its priority content and expanded the brand’s authority footprint inside AI-generated answers.

Mentions

Overall mentions increased 4.17×, with several assets moving from zero visibility to consistent inclusion in generative responses.

Citations

Overall citations rose 1.28×, including first-time citations for multiple resources as AI engines began attributing Segwise’s insights more reliably.

AI Visibility

Segwise’s overall AI visibility increased 2.84×, rising from 21.8% to 61.8% over four months, as shown in the brand-performance graph below.

Segwise’s improved presence positioned the company ahead of every major competitor tracked. Segwise now appears in 61.8% of LLM answers, outperforming other leading platforms across creative-intelligence topics and queries.

Outcome

By aligning Segwise’s insights with the patterns AI systems rely on, the company rapidly moved from limited presence to leading visibility across related topics and queries. The company achieved a 2.84× increase in AI visibility, a 4.17× lift in mentions and its first consistent stream of citations, putting it ahead of competitive tools in LLM-generated responses.

These gains give Segwise a defensible authority position as AI becomes central to how key customers research creative strategy. With Crossfill’s GEO framework in place, Segwise is well positioned to compound this momentum as AI discovery becomes the default interface for performance and marketing teams.

“The Crossfill team genuinely understands how LLMs operate. They know how to get content seen, cited and surfaced - and they deliver the execution to make it happen end-to-end.”

- Segwise, Marketing Lead @ Segwise

For more GEO outcomes and methodology, explore the Crossfill blog or review the detailed Cerebro visibility case study. Teams ready to evaluate AI visibility opportunities can learn more on the Crossfill home page or start a conversation via Contact.

FAQ

How can a creative-intelligence platform increase its visibility in AI-generated search answers?

Crossfill’s GEO approach focuses on LLM citation engineering, entity clarity and question-first formatting. In the Segwise program, these changes led to a 2.84× increase in AI visibility and a 4.17× lift in mentions. Brands can explore similar tactics on the Crossfill home page and in the Crossfill blog.

Why are competitors being cited by generative engines instead of my creative-intelligence content?

Generative engines tend to cite sources with clearer entity signals, extractable answers and consistent terminology across a topic cluster. Crossfill helps address these gaps by aligning structure, schema and internal linking so models can detect and attribute expertise. Learn more on the Crossfill blog.

What strategies increase mentions and citations for creative-performance resources in LLM responses?

Prioritize scannable formats, add Q&A sections that mirror real queries, and ensure authorship and dates are visible. Tie claims to evidence and include original insights. Segwise used these tactics and recorded new citations across multiple guides.

How can tying user-acquisition questions to creative-intelligence content boost AI visibility?

Map content to the actual questions UA teams ask generative engines. In Segwise’s case, aligning headings and examples to UA scenarios produced an infinite mention lift for one guide that previously had no presence in AI answers.

How to align terminology across creative intelligence, analytics and optimization to own a topic in AI answers?

Standardize definitions across pages and interlink them with descriptive anchors. This helps models resolve entity relationships and attribute explanations consistently. Crossfill used this approach to lift Segwise’s AI and Automation topic visibility by 572.5%.

If you are ready to audit your AI visibility or want a tailored plan, reach out via Contact.

Crossfill

Crossfill shows you how AI describes your brand, where visibility is slipping to competitors, and what to optimize — so you convert high-intent AI demand into meaningful revenue.

Crossfill

Crossfill shows you how AI describes your brand, where visibility is slipping to competitors, and what to optimize — so you convert high-intent AI demand into meaningful revenue.