Assess your team's readiness across data quality, workflow adoption, content operations, personalization, and governance. Get a prioritized adoption roadmap.
Your progress saves automatically — you can pause and resume anytime.
Most respondents complete the AI Marketing Readiness Assessment in the estimated time — questions are grouped into short sections so you can pause and resume. Your progress saves automatically.
For the most accurate result, have your last 90 days of core metrics available. If you don't, use conservative estimates — the report still surfaces the highest-leverage gaps.
Answers stay in your browser (localStorage) unless you download the PDF report, in which case you opt in to share your contact details.
Yes. Re-run every quarter to track maturity gains. The report includes a suggested next review date.
Recommended next steps chosen by topical relevance — not popularity.
Cut through the hype. A working framework for using AI across research, content, ops, and personalization — without hallucination risk.
Stop chasing individual keywords. Build a semantic content architecture that signals absolute expertise to both search engines and buyers.
Move beyond blog-post volume. Build content that converts trials, shortens sales cycles, and compounds into a revenue channel.
Set a monthly traffic goal. This tool models the cadence, cluster mix, and budget you need to hit it — plus a 90-day publishing plan you can hand to a content lead.
Enter spend and ROAS per channel. The tool reallocates budget toward higher-return channels within realistic saturation caps and projects the lift.
Input your current traffic, domain rating, keyword universe, and competitor gap. Get a 12-month traffic forecast, quick-win keyword bands, and a sequenced content roadmap.
Is your engine creating demand — or just capturing it?
Diagnose technical foundations, content depth, and authority signals.
Confirm your GA4 install is actually decision-grade.
150+ tested prompts for SEO, content, research, positioning, and analytics.
Audit how LLMs represent your brand and where to close citation gaps.
Editorial calendar with intent tags, funnel stage, and distribution channels per piece.
How 3,600 SaaS-related prompts across ChatGPT, Perplexity, Claude, and Google AI Overviews cite sources — and what predicts inclusion.
12-month organic performance data from 480 SaaS blogs — traffic distribution, revenue attribution, and the pieces that outperform 100:1.
1/3/6/12/24-month net revenue retention curves across 942 B2B SaaS companies, segmented by ICP, ACV, and pricing model.
Where and how to apply AI across your marketing org — ranked by leverage.
End-to-end marketing automation across CRM, ESP, and product.
Production-grade AI workflows with guardrails and evaluation criteria.