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Convert Grows LLM Visibility 81% and AI Citations 140% in 60 days
With Trina Moitra, Chief Marketing Officer
“Omniscient created a concrete 6-month content overhaul and citation seeding plan that gave us a clear path forward for AI search. They helped us understand how AI-driven demand actually works and delivered replicable templates that we can apply to articles and BoFU landing pages, giving us a system we can continue to execute with confidence.”
Trina MoitraChief Marketing Officer at Convert
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Convert is a software platform for A/B testing, experimentation, and conversion rate optimization (CRO), used by businesses to improve how effectively visitors complete key actions on their websites or apps (like purchases, sign-ups, or clicks). Its customers rely on Convert for advanced experimentation across page elements, multipage flows, and personalization. With a strong focus on privacy, ethics, and accurate metrics, Convert is one of the most respected tools on the market.
Convert partnered with Omniscient Digital in 2025 in response to a behavioral change in its customers, as they began searching in AI engines instead of just Google. The Omniscient team created a Generative Engine Optimization (GEO) strategy for Convert to meet their customers in the channels they were searching. In just 60 days, Convert’s LLM visibility grew 81% and their AI citations saw a 140% increase.
A shift in user behavior called for a new organic growth playbook
In early 2025, Convert’s marketing team noticed a familiar pattern: buyer behavior was changing. Instead of starting every journey with Google, prospects were turning to tools like ChatGPT and Perplexity for research, or getting their answers summarized by AI Overviews.
Convert’s traditional SEO performance remained strong, but they were not confident the same playbook would apply to meet buyers in AI search environments.
“When we started with Omniscient’s team, AI search was a concept to us. A worrying one at that. Omniscient took our vague worries, showed us what was shifting, and educated us about what to track and the new metrics of AI visibility.” – Trina Moitra, CMO
Convert had spotty coverage in answers to critically important prompts like:
- “Best A/B testing tools”
- “Most privacy compliant experimentation platform”
Competitors with strong brand recognition and existing authority in the experimentation space, were outpacing the industry and capturing the bulk of brand visibility in LLMs.
To bridge the gap with the competition and adapt for the modern era of brand discovery, Convert needed a new kind of strategy – one that optimized not just for rankings, but for recognition in AI engines.
Building a strategy to fill their LLM blind spots
Omniscient began by aligning with Convert’s business goals, how success had been measured historically, and where those legacy KPIs failed to capture emerging AI-driven demand.
From there, the team defined a set of AI-native KPIs – in addition to using SEO metrics and conversions – designed to measure visibility, authority, and competitive presence inside LLMs, not just rankings.
Omniscient introduced these new KPIs:
- Prompt-level visibility
- Brand mentions vs competitors
- Citation share
With legacy KPIs and AI-native KPIs established, Omniscient began outlining a blueprint to move the needle in AI search as well as high-intent SEO.
Step 1: Establishing baseline LLM visibility with prompt tracking
To understand how Convert could earn visibility in AI engines, Omniscient first needed a clear baseline of how Convert and its competitors were already performing inside LLMs.
The team used Peec AI, a platform that tracks LLM visibility and AI citations for brands and their competitors.
The team chose prompts based on:
- Terms customers used in Google search to find Convert
- Category-specific selection criteria used to compare Convert against its competitors
- Subject matter expert interviews and voice of customer analysis
- General knowledge regarding their business, like A/B testing and tooling.
This ensured the prompts captured realistic user search intent at every customer journey stage.
These prompts covered:
- Product use cases (A/B testing, split URL, full stack experimentation)
- Comparison queries (“Convert vs X”)
- Jobs to be done (CRO tools for enterprise teams)
- Search intent segments (privacy first testing tools)
Peec’s dashboard allowed Omniscient to measure the AI-native KPIs they established for Convert in the beginning of the project.
Step 2: Earning Authority Where AI Looks for Answers
With the baseline GEO analysis complete, the next step for Omniscient was to secure brand mentions in authoritative citation sources to build both ubiquitous presence and third-party credibility for their brand.
To understand why competitors were showing up in LLMs where Convert was not, the Omniscient team analyzed the referring domains of Convert’s top competitors.
The goal was not traditional link building, as LLMs don’t rely directly on backlinks, but securing branded mentions on sources that LLMs consistently cite and trust, while showing up against their competitors.
This produced a shortlist of ~400 high quality referring domains most likely to influence LLM visibility as well as classic search (these were also highly valuable domains and pages to secure backlinks) for Omniscient’s digital PR team to garner dozens of targeted brand mentions.
Step 3: Creating owned content to provide LLMs source material
Success didn’t come from just publishing more content; it came from making strategic content choices. Every piece was designed to be citable, clearly attributed, and structured in a way LLMs could easily summarize and reuse. And most importantly, it was designed to answer questions asked by in-market prospects and searches, ensuring relevancy and impact.
When a user searches for information in an LLM, the process by which it formulates an answer is complex. It depends whether or not the answer is grounded in web search, and if it is, then LLMs will triangulate top sources across various indices, summarizing the answer using the available information.
Creating owned content assets that answer user questions – concretely, comprehensively, and in a format that is easily digested by LLMs – gives LLMs source material for outputs. This helps Convert drive visibility, but also make sure their narrative, product features, and product messaging is displayed accurately and favorably.
The Omniscient team chose three topic clusters, each relevant to Convert’s target audience:
- A/B testing
- UX testing
- Conversion Rate Optimization (CRO)
Omniscient didn’t abandon traditional SEO practices, but used a combination of SEO and GEO, making sure monthly search volume was high and keyword difficulty was low.
This approach was modeled after our three prong model for influencing LLM outputs, starting with “be the source” and “be included in the source.”
Results: From AI visibility to measurable growth
Over the course of 60 days, Omniscient grew Convert’s LLM prompt visibility from 31% to 55% across tracked queries.
Convert’s AI citation share for the selected queries increased from 15% to 35%, a 140% growth rate.
Convert is closing the AI visibility gap between itself and its competitors.
While larger, well-funded competitors continue to lead in overall AI citations, Convert’s momentum tells a compelling story. Starting the period behind their closest competitor, Convert has not only surpassed them but is now steadily catching up to the category leaders.
Driven by Omniscient’s strategy and execution, a focused, intentional approach to LLM visibility can outperform sheer scale.
“For us, the win was not losing traffic. After working with Omniscient, we tracked AI overview citations in Ahrefs and saw an increase of roughly 200%.” – Trina Moitra
Across multiple LLMs, Convert began appearing more consistently in prompts like:
- “Top A/B testing tools”
- “Best CRO tools”
- “Privacy first experimentation platforms”
- “How to run full stack experimentation tests”
The team built a repeatable process for GEO – track, analyze, create, outreach, measure. With replicable templates, Convert felt confident continuing to expand the GEO work Omniscient sparked.
Key insights from competing inside LLMs
This work reinforced several core principles of Generative Engine Optimization:
- GEO rewards authority, not volume
- Brand mentions matter more than raw backlink counts
- Content must be structured for summarization and citation
- Strong SEO sets a strong foundation for GEO success, but does not guarantee it
What is next for Convert’s GEO strategy
Convert now treats GEO as a core organic performance channel. The team is:
- Expanding tracked prompts to over 100
- Embedding GEO logic into bottom of funnel content planning
- Doubling down on partnerships with LLM cited domains
- Mapping outreach to key topic clusters and target personas
For a platform built on ethical experimentation and privacy-first principles, this move into GEO is another way Convert is staying ahead of how people search, decide, and buy.
Let’s talk about how we can help you future-proof your visibility in the age of AI-driven search.
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