5W Research Briefing
5W Intelligence Research
How brands can use AI visibility data, citation source analysis, and category intelligence to build authority where buyers now ask questions.
Executive Summary
Search behavior is fragmenting across Google, ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, Reddit, TikTok, YouTube, trade publications, newsletters, and niche communities. For communications leaders, the question is no longer only where did we get coverage? It is what evidence does the market, the media, and the AI answer layer use when it describes us?
5W Intelligence Research connects those signals. The program measures how brands, competitors, executives, products, and issues appear across AI answers and the public citation surfaces that feed them. The output is not a static monitoring report. It is an operating view of brand authority: what the market believes, what answer engines repeat, and what communications work can change.
What The Research Measures
- AI citation share: how often a brand is named, recommended, or sourced across category prompts.
- Source authority: which domains, articles, studies, lists, profiles, and databases are shaping AI answers.
- Competitive gaps: where competitors own prompt families, publications, expert lists, and category language.
- Message accuracy: whether AI answers repeat the brand's actual positioning, proof points, and current facts.
- Risk surfaces: hallucinations, outdated descriptions, negative narratives, missing context, and source drift.
- Action map: earned media, owned content, executive visibility, data releases, and source repair priorities.
The 5W Intelligence Model
1. Prompt Architecture
5W builds prompt sets around the questions real customers, journalists, investors, candidates, regulators, and category influencers ask. Prompts include branded queries, comparison queries, recommendation queries, problem-solution queries, crisis queries, and buyer-intent queries.
2. Citation Source Mapping
Each answer is reviewed for the surfaces that influence it: media coverage, review sites, analyst reports, category lists, Wikipedia, company sites, social discussions, YouTube transcripts, trade press, government sources, academic research, and structured data.
3. Communications Opportunity
The research turns findings into a prioritized communications plan. Some gaps need earned media. Some need authoritative owned content. Some need executive profiles, clearer proof points, local-market pages, source cleanup, or category education.
Use Cases
Brand authority audits. Understand how your company is described across AI answer engines and where the description diverges from your market position.
Competitive intelligence. See which competitors own key buyer questions and what evidence gives them that advantage.
Launch planning. Identify the sources, prompts, and category narratives that must be addressed before a new product, market, or executive announcement.
Crisis readiness. Track whether old stories, legal issues, customer complaints, or incomplete facts are being repeated in high-stakes AI answers.
Thought leadership planning. Build original research and expert content around the questions where the category lacks strong authority.
Recommended Deliverables
- AI visibility baseline across five major answer engines.
- Category prompt library and competitor citation table.
- Top source audit with earned, owned, third-party, and social surfaces separated.
- Message accuracy review and hallucination risk log.
- 90-day communications roadmap with owners, priorities, and measurement points.
Build A Research-Led Communications Program
For custom category research, citation source audits, or an AI visibility diagnostic, contact 5W.