AI Visibility Research, Search Insights, and Marketing Intelligence
AI visibility research helps businesses understand how search engines and AI-powered platforms discover, interpret, cite, and recommend companies online.
Today, the way people discover businesses is changing. As a result, traditional search engines are no longer the only place customers look for answers, services, and recommendations. AI-powered platforms increasingly influence how businesses get discovered, understood, cited, and considered.
Therefore, at CJ Design & Consulting, our AI visibility research examines these changes through the lens of real business performance. In addition, we combine research into SEO, AEO, GEO, AI citations, digital authority, website performance, and marketing intelligence to understand what helps businesses become more visible across both traditional search and AI-driven platforms.
More importantly, we examine how customers find a business, understand its expertise, trust its information, cite its content, choose its services, and ultimately convert into customers.
Looking for more practical guidance? Explore our Digital Marketing Resources for guides, checklists, webinars, case studies, SEO, AEO, GEO and AI visibility resources.
What We Research
This research focuses on the intersection of:
- Search Engine Optimization (SEO)
- Answer Engine Optimization (AEO)
- Generative Engine Optimization (GEO)
- AI visibility and citations
- Website and content performance
- Digital authority and trust
- Search and AI discoverability
- Marketing intelligence
- Customer engagement and conversion
Ultimately, the goal is simple: turn changing search and AI technology into practical information businesses can actually use.
Featured Research & Insights
SEO vs. AEO vs. GEO Research
At the same time, search is evolving beyond traditional rankings.
Our SEO vs. AEO vs. GEO Research Report examines how Search Engine Optimization, Answer Engine Optimization, and Generative Engine Optimization work together to influence how businesses are discovered across traditional search engines and AI-powered platforms.
In addition, the research explores where these disciplines overlap, where they differ, and why businesses increasingly need an integrated visibility strategy rather than treating SEO and AI visibility as separate initiatives.
Explore the SEO vs. AEO vs. GEO Research Report
AI Visibility Score Methodology
How do you determine whether a business is actually prepared to be discovered by AI?
To address this question, CJ Design & Consulting’s AI Visibility Score Methodology provides a structured framework for evaluating the signals that contribute to search and AI visibility.
Specifically, the methodology examines six key areas:
- Technical Eligibility
- Entity Clarity
- Content & Answerability
- Authority & Trust
- AI Citation & Recommendation Visibility
- Measurement & Conversion Readiness
Therefore, rather than relying on a single ranking or AI response, the methodology looks at the broader digital ecosystem that helps search engines and AI systems discover, understand, evaluate, and potentially cite a business.
Explore the AI Visibility Score Methodology
AI Citation Tracking Study
Appearing in search results is one form of visibility. However, AI systems can also increase visibility when they cite a business as a source.
In addition, the AI Citation Tracking Study establishes a repeatable methodology for measuring how businesses appear across AI-driven discovery environments.
We track several AI visibility signals, including business mentions, citations, recommendations, cited website pages, citation frequency and diversity, platform coverage, and changes over time.
As a result, the study moves AI visibility measurement beyond occasional manual searches and toward consistent, documented analysis.
Explore the AI Citation Tracking Study
Small Business AI Visibility Study
How visible are small businesses as customers increasingly use AI to research companies, compare solutions, and ask for recommendations?
To answer this question, the CJ Small Business AI Visibility Study serves as our ongoing research initiative. Specifically, we examine how traditional search and AI-powered platforms discover, understand, cite, and recommend small and mid-sized businesses.
In particular, the study examines factors including search visibility, website structure, content clarity, authority signals, AI mentions, citations, recommendations, and third-party validation.
Because this research is ongoing, CJ Design & Consulting will publish findings as we collect and validate sufficient data.
Learn About the Small Business AI Visibility Study
AI Visibility Benchmark Report
What does strong AI visibility actually look like?
Similarly, through the AI Visibility Benchmark initiative, CJ Design & Consulting is developing a consistent framework for evaluating the progression from basic digital presence to meaningful search and AI visibility.
Therefore, the framework examines technical eligibility, search discoverability, entity clarity, answerability, authority, AI citations, and conversion readiness.
Over time, as our research dataset grows, CJ Design & Consulting will use verified observations to develop increasingly useful benchmarks for evaluating AI visibility performance.
Explore the AI Visibility Benchmark Framework
Marketing Intelligence Benchmarks
Ultimately, visibility is valuable only when businesses understand what that visibility is accomplishing.
In addition, our Marketing Intelligence Benchmarks connect visibility with business performance by examining search visibility, AI visibility, authority, content performance, engagement, and conversion.
Therefore, instead of looking at marketing channels in isolation, we examine how the pieces work together to answer important business questions:
These benchmarks help identify what’s working, uncover what’s missing, reveal where opportunities may be lost, and determine where businesses should focus their marketing resources next.
Together, these benchmarks support CJ Design & Consulting’s broader AI Visibility & Marketing Intelligence™ approach.
Explore Marketing Intelligence Benchmarks
Original Case Studies
Ultimately, research becomes more valuable when we can see how it performs in real-world situations.
For this reason, our case studies document actual visibility challenges, the strategies we use to address them, and measurable outcomes as sufficient post-implementation data becomes available.
Topics include:
- Technical search visibility
- Search intent optimization
- AI citation visibility
- SEO, AEO, and GEO integration
- Website performance
- Content visibility
- Marketing intelligence
- Conversion improvement
Most importantly, we distinguish between what was changed, what was observed, and what the available evidence actually allows us to conclude.
Explore CJ Design & Consulting Case Studies
From Search Rankings to AI Recommendations
Most importantly, the future of digital visibility isn’t about choosing between SEO and AI.
For example, businesses still need strong visibility in traditional search.
In addition, AI systems need clear information about your business identity, expertise, services, customers, experience, credibility, and the situations where your business provides a relevant answer or solution.
As a result, our approach brings together SEO + AEO + GEO + AI Visibility + Marketing Intelligence.
The objective is not simply to generate more traffic.
It is to help businesses:
Get Found. Get Chosen. Get Cited. Get Results.
Research Led by Carolyn Josephs
Carolyn Josephs, Founder & Creative Director of CJ Design & Consulting, leads the company’s research and methodology development.
In addition, Carolyn’s work brings together search optimization, AI visibility, website strategy, content, accessibility, analytics, and marketing intelligence to help businesses understand not only how they are performing, but why they are performing that way and what they should do next.
Above all, our research is designed with the same principle we use with our clients:
Teach Before You Sell.
As a result, businesses can make better marketing decisions when they understand what is happening, what the data means, and where the greatest opportunities exist.
Research Standards
Credibility matters, especially when discussing rapidly changing technologies such as generative AI. Therefore, CJ Design & Consulting clearly identifies the type of evidence behind our research.
Our research standards distinguish among verified observations, proprietary CJ methodologies and scoring frameworks, internal benchmarks, ongoing research, third-party research, and measured client outcomes.
Most importantly, we do not present proposed benchmarks as established industry averages. Nor do we present preliminary observations as proven results. As our datasets grow, we will update our research and benchmarks with new verified findings.