AI Share of Voice chart
A single stark chart: your mention rate vs. your top three competitors across all five engines. This is the screenshot that lands in your team’s Slack.
In about a week you get a board-ready picture of how AI engines answer your category — and the specific moves that close the gap. CMOs forward the summary to their team; engineers respect the rigor behind it.
Founders, CMOs, and Heads of Growth who suspect AI is eating their funnel and want proof before committing to a program.
Know your AI Share of Voice and the 5–7 moves that close the gap.
A single stark chart: your mention rate vs. your top three competitors across all five engines. This is the screenshot that lands in your team’s Slack.
Mention rate, sentiment, position in answer (first mention vs. buried), and recommendation strength — broken out for ChatGPT, Claude, Perplexity, Gemini, and AI Overviews.
The same scorecard for three named competitors, side by side, so the gap is undeniable.
For the top 50 prompts in your category, the URLs LLMs actually cite. Usually ~20 sources drive 60–80% of citations. This is the gold slide.
Topics where competitors get mentioned and you don’t — with the exact prompts that surface them.
Schema markup, llms.txt presence, content extractability score, robots.txt for AI bots, and structured-data coverage.
5–7 numbered actions ranked by impact × ease — including one or two quick wins you can implement yourself.
A recorded walk through your dashboard and the findings, so the whole team sees the problem on screen.
200–500 buyer-intent prompts across five engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews), sampled multiple times over a 14-day window.
About one week from kickoff to delivery of the PDF and Loom walkthrough.
More than half of audits do. We deliberately leave one or two quick wins so you see results before signing anything.
Start with a free one-page snapshot, then upgrade to the full audit. No retainer commitment required.