The Challenge: Complete AI Invisibility
When this B2B SaaS company - a project management platform serving mid-market enterprises - came to Back Tier in early 2026, they had a significant organic search presence but were completely invisible in AI-generated answers. Their target customers were increasingly using ChatGPT and Perplexity to research project management solutions, and the company was not appearing in any AI-generated recommendations, comparisons, or category overviews.
The initial AI visibility audit revealed the root causes. The company had no Organization schema markup on their website. Their founders had no Person schema markup and no Wikipedia presence. Their product pages had no Service schema. Their blog content had no Article schema with author markup. Their knowledge graph presence was essentially zero - they existed as a collection of web pages, not as a coherent entity that AI models could understand and reference.
Jason Todd Wade and the BackTier team - working from offices in New York and Austin, with support from the London and Singapore teams - developed a 90-day AI visibility program that addressed all of these gaps systematically. The program had three phases: entity architecture rebuild, structured data implementation, and EEAT content development.
The Solution: A 90-Day AI Visibility Program
Phase one - entity architecture rebuild - took three weeks. The Back Tier team implemented comprehensive Organization schema across the entire site, created Person schema for all founders and executives, built Wikidata entries for the company and its key products, claimed and optimized the Google Knowledge Panel, and established consistent NAP information across all major directories. These changes alone produced a measurable improvement in AI citation frequency within 30 days.
Phase two - structured data implementation - took four weeks. The team implemented FAQPage schema on all product and feature pages, HowTo schema on tutorial and documentation content, Article schema with full author markup on all blog posts, Review schema on customer testimonial pages, and Service schema on all product tier pages. The structured data implementation was validated against Google's Rich Results Test and Schema.org validators, and all errors were resolved before deployment.
Phase three - EEAT content development - was an ongoing program that ran throughout the 90 days and continued beyond. The Back Tier content team developed 12 long-form, expert-authored articles on the company's core topics - project management, team collaboration, enterprise productivity, and remote work - each with comprehensive schema markup, verifiable author credentials, and citations from authoritative sources. The articles were distributed through the company's blog and syndicated to industry publications in the United States, United Kingdom, and Australia.
The Results: 340% Increase in AI Citation Frequency
By the end of the 90-day program, the company's AI citation frequency had increased by 340 percent across the tracked query set. They were appearing in ChatGPT recommendations for project management software for the first time. They were being cited as a primary source in Perplexity responses to category queries. They were featured in Google AI Overviews for 23 of their 50 tracked queries, up from zero at the start of the program.
The business impact was significant. Inbound leads from AI-referred traffic increased by 180 percent over the same period. Brand search volume increased by 67 percent, indicating that AI citations were driving direct brand awareness. And the company's sales team reported that an increasing proportion of prospects were arriving with specific knowledge of the company's capabilities - knowledge they had obtained from AI-generated research rather than traditional web browsing.
This case study is documented in detail in Jason Todd Wade's AiVisibility book series, available on Amazon, Audible, and Spotify. The series includes the full methodology, the specific structured data implementations, the content frameworks, and the measurement approach used in this and dozens of other Back Tier client engagements across San Francisco, New York, Chicago, Miami, London, Dubai, Singapore, and Toronto.