A B2B marketing leader needs to explain to the CEO why Perplexity names three competitors with inline source citations and their own brand is absent — and to turn that answer into a funded workstream.
A board deck, competitive review, or analyst conversation surfaces a Perplexity answer screenshot showing competitor URLs as sources. The CMO has to respond with a plan within the same week.
What to examine
- Which of our pages are structurally eligible to be cited (author, publish date, schema, passage length)?
- Are competitors cited because of on-site structure or because of off-site authority signals?
- Does the team need one rebuild, or an ongoing publishing cadence against a defined scenario set?
- Can we measure share-of-AI-answer-voice as an executive-visible KPI?
Our approach
- ai visibility check — diagnoses which pages are structurally citable and which are design-first.
- ai site rebuild — 6-week data-engineering sprint covering ETL, entity graph, schema, llms.txt, six-platform QA.
- ongoing ai visibility focus or ongoing ai visibility scale — sustained monthly coverage across 30–80 scenarios.
Quick Q&A
Q: Can we measure citation presence as a KPI the CFO takes seriously? A: Yes — we report share-of-AI-answer-voice monthly across ChatGPT, Gemini, Perplexity, Claude, Copilot, and Baidu.