Key Results

3x

Visibility increase in ChatGPT in one week

+16%

Lift in overall visibility across AI platforms

4

Platforms Optimized

  • 3x visibility increase in ChatGPT: from 9% to 26% in one week
  • +16% lift in overall visibility across AI platforms
  • Optimized across 4 platforms: ChatGPT, Perplexity, Microsoft Copilot, Google AI Overviews
  • Repeatable playbook established for Generative Engine Optimization (GEO)

The challenge

Airbyte had strong performance across traditional SEO and community channels, but visibility across AI-native interfaces was lagging. As buyer journeys increasingly begin inside tools like ChatGPT and Perplexity, this gap becomes a risk.

The team needed answers to three questions:

  1. Where and how was Airbyte appearing across AI platforms?
  2. What narratives were forming around the brand in AI-generated responses?
  3. How much qualified traffic and attention was being driven from these environments?

AI visibility was not just a branding issue—it was becoming a critical part of user acquisition.

Analyzing Airbyte’s AI Visibility

Airbyte partnered with Profound to analyze and optimize how their brand appeared in AI-generated results.

1. Measured visibility across platforms

Using Answer Engine Insights, Airbyte analyzed over 500 prompts across priority topics in ChatGPT, Perplexity, Google AI Overviews, and Copilot. This revealed:

  • Where Airbyte was mentioned or missing
  • Which content assets were being cited
  • How visibility compared against key competitors

2. Mapped performance by topic and geography

Profound allowed Airbyte to segment AI visibility by topic cluster and country, helping prioritize updates where impact would be highest.

It became clear that the Airbyte team needed to refactor their content towards what LLMs are favoring.

3. Tracked citations and real user referrals

Profound started surfacing key insights like:

  • Which specific pages were generating the most citations in their industry. These became the blueprints for how content should be structured for LLMs.
  • Crawl behavior and bot activity across the site from Profound's Agent Analytics plus referral traffic driven by AI-generated answers, using Profound's GA4 integration

The additional data of bot activity and referral traffic from GA4 closed the loop between AI visibility and business outcomes.

How Airbyte Took Action

Armed with data, Airbyte took focused action across three key areas:

1. Optimized content for AI parsing

  • Rewrote content into direct answers, lists, and step-by-step formats
  • Removed filler content and emphasized structure
  • Aligned page design with LLM reading patterns

2. Improved technical infrastructure

  • Added schema.org markup for better content comprehension
  • Deployed llms.txt to signal preferred source structure
  • Shifted to server-side rendering to ensure full crawlability

3. Built authority and trust signals

  • Highlighted contributor bios to show expertise
  • Surfaced customer proof points and transparent documentation
  • Maintained structured, regularly updated reference content

Airbyte’s Results with Profound

Airbyte's focused strategy delivered rapid, measurable gains:

  • Visibility in ChatGPT tripled in one week, from 9% to 26%
  • +16% improvement in visibility across all platforms tested
  • AI referrals increased as more people discovered Airbyte through conversational interfaces

Visibility Score

47.1%

4/13/2025 vs 6/22/2025

18.9%

AI platforms are quickly becoming the new front page of the internet. Airbyte's experience shows that with the right data and execution, companies can reshape how large language models represent their brand—at speed.

This is not a one-off win. It's a repeatable playbook the team is now scaling across new product areas.

Tanmay Sarkar

Tanmay Sarkar, Digital Marketing Manager at Airbyte