Overview
Aleph is an AI-native FP&A (Financial Planning & Analysis) platform that automates reporting, budgeting, and forecasting without replacing the spreadsheets finance teams know and love. Industry leaders like Notion and Zapier trust Aleph to run leaner, faster finance operations.
Building an AEO engine to reach FP&A buyers
As a fast-growing player in the FP&A software space, Aleph has built strong credentials, from five-star reviews to a growing library of expert insights. But Charlie Rhomberg, Senior Content Marketing Manager, knew that in a competitive market, credentials only convert if buyers can find you.
Increasingly, the search for solutions was happening in answer engines. CFOs and finance leaders were routinely running AI queries like “best FP&A software in 2026” and “finance tools for PE-backed companies” to discover vendors.
In FP&A, purchase decisions tend to involve multiple stakeholders who each conduct in-depth feature analysis and research. To establish Aleph as the vendor of choice, Charlie needed to know what prospects were asking across the funnel and build content that answered each question precisely.
But topic intelligence wasn’t enough. Charlie needed to benchmark Aleph’s LLM performance against competitors and identify the content structures that earned citations. That way, he would prioritize the right formats and capture content optimization opportunities.
With a lean team and AI algorithms changing weekly, Charlie recognized that tracking AI citations in-house wouldn’t lead to an actionable AI visibility strategy. He needed a partner. One who could help him interpret insights, prioritize the right prompts, and build a content approach that consistently earned citations.
He piloted several AEO solutions. With its real-time AEO tracking, clean UI, and expert team, Profound emerged as the clear winner.
AI visibility intelligence that powers scalable AEO execution
As a starting point, Charlie used Profound to map the AI-native buyer journey around the real questions prospects were asking LLMs. By filtering prompts by volume, intent, and theme, Charlie built a data-driven library of high-priority prompts to guide Aleph’s content initiatives.
Building an advanced AEO playbook with Profound Pods
When Profound launched Pods, a week‑long intensive program led by frontier AI Search experts, Charlie was among the first to enroll. The program went deep on cutting-edge AEO practices, including prompt categorization and automated campaigns. By the end, Charlie had a concrete AEO playbook for every content decision that followed.
Earning category authority with targeted content plays
Armed with Profound’s expert guidance, Charlie targets opportunities that accelerate awareness and strengthen Aleph’s position as a category leader. When Profound surfaced a high-volume prompt cluster around AI-powered variance detection, a core Aleph capability, he published a buyer’s guide to the top relevant solutions. This play positioned Aleph as the go-to vendor in AI Search responses.
Compounding growth with powerful automations
After getting a head start on Profound Agents during his Pod, Charlie now uses them regularly to build AEO-driven content at scale. By deploying powerful automations, he orchestrates key stages of the content creation pipeline, from generating content briefs to identifying top-ranking external sources and selecting the right internal links.
This strategy saves hours of research while tuning every asset for maximum discoverability. And it’s paying off. In just two months, Aleph’s AI visibility reached 21%, a 5x increase that makes the company a top-cited FP&A platform in AI-driven searches.
With Profound, Charlie now has a scalable AEO strategy that keeps Aleph showing up wherever prospects go looking.
Aleph increased citation share by 253% in 2 months with Profound
With Profound, Aleph is building category authority in FP&A’s new search reality. Charlie now has a data-driven AEO strategy that puts Aleph in front of finance leaders at key moments of their purchasing journey.
Here’s a look at the results:
- 253% increase in citation share in 2 months, building content around the questions buyers are actually asking AI.
- 5x growth in AI visibility in 2 months, optimizing content and overhauling site-wide formatting.
- 82% increase in LLM-attributed website traffic, utilizing Profound Agents to confirm every page is readable by AI.
These efforts are also driving more qualified buyers to the Aleph site. Aleph’s citation share climbed from 1.5% to 5.3% in two months, generating an 82% increase in LLM-attributed traffic. Because these buyers arrive informed about Aleph’s solutions, they’re also more likely to convert.
Looking ahead
Charlie and the Aleph team will deepen their use of Profound’s product suite, especially as Profound continues to grow its Agents capabilities. They’re eager to explore how Agents’ connections to Google SERP data and prompt volume signals can help them create content with even greater precision.
To learn more about Aleph’s AI-native FP&A platform, visit getaleph.com.
