Semrush Academy
Free topical courses, current AI visibility courses, worksheets, field experts, quizzes, and shareable certificates.
Academy needs named AI SEO courses, practical worksheets, and credentialed completion instead of generic docs.
Courses, certifications, playbooks, demo assets, teardowns, and agency enablement for the full observe-diagnose-create-deploy-verify workflow.
Free topical courses, current AI visibility courses, worksheets, field experts, quizzes, and shareable certificates.
Academy needs named AI SEO courses, practical worksheets, and credentialed completion instead of generic docs.
Tool-specific training, short product courses, broader SEO courses, API education, and a 67-question certification exam.
Courses should teach specific product surfaces and include analyst/operator exams with credible skill signaling.
Content optimization masterclasses anchored in the editor workflow, community access, final exams, and certificates.
Content education needs hands-on editor labs, before-after proof, and writer-facing certification.
Guided AEO learning hub that explains answer engines, visibility data, content action, and agent workflows.
Training should operationalize AI search, not only explain metrics.
Fast quickstart that has users add prompts, identify competitors, and understand the dashboard within a clear time window.
The academy should double as onboarding, with a fast activation playbook for first value.
Workflow education around editor use, content inventory, GSC connection, views, recurring scans, and alerts.
Content inventory and refresh training must include recurring monitoring and operational follow-through.
90-day AI search action plan
competitor visibility report with confidence notes
optimized article with source evidence and fact blocks
client-ready retainer packet and report walkthrough
Build the observe, diagnose, act, publish, and verify workflow that turns AI visibility data into weekly execution.
Measure brand presence across AI answers, competitors, cited sources, sentiment, and prompt cohorts without overclaiming precision.
Use term ranges, SERP facts, entities, proof blocks, internal links, and content briefs to create pages AI systems can cite.
Diagnose AI crawler access, deploy llms.txt and ai.txt policies, verify snippets, and prove technical fixes reached production.
Package AI visibility audits, monthly reports, client approvals, action queues, and white-label portals into sellable services.
Build workflow packages with public APIs, SDKs, MCP tools, Zapier-style automations, warehouse exports, and marketplace playbooks.
domain, brand, competitors, prompt seed, first audit, first baseline, first action plan
review alerts, triage actions, assign owners, publish fixes, verify outcomes
find cited third-party sources, prioritize prospects, create actions, verify placements
detect decay, compare SERP drift, apply refresh, publish, schedule recheck
compile visibility, actions, revenue, content changes, and next-month priorities
diagnose bot access, deploy policies, validate snippets, monitor crawler outcomes
combine app listing, automation templates, docs, certification evidence, and lead routing
track category prompts, optimize PDP/category proof, publish structured data, report revenue impact
Courses should teach setup, share of voice, source monitoring, competitor benchmarking, and third-party mention opportunities.
Teach the workflow and launch the user into prompt setup, evidence, actions, and reporting directly.
Short tactical courses plus a recognizable exam reduce onboarding friction and help learners market the skill.
Create analyst tracks with verifiable credentials, methodology footnotes, and shareable proof.
Content teams need training around the exact editor workflow and a certificate they can share.
Teach term bars, evidence briefs, fact blocks, refresh loops, and before-after proof.
Content inventory education is strongest when it covers recurring scans, GSC connection, views, and weekly alerts.
Make inventory decay, SERP drift, and refresh-to-CMS deploy a repeatable playbook.
AEO education should move users from engine mechanics to interpreting data and taking action in the platform.
Tie each lesson to a product action, proof packet, or automation package.
A fast path with 10 prompts, 3 to 4 competitors, and dashboard interpretation is a useful onboarding teaching pattern.
Use the 15-minute activation playbook as the first academy and onboarding bridge.
A complete sample account with prompts, competitors, evidence rows, actions, and report examples.
Buyer, comparison, problem, and product-discovery prompts for ecommerce training.
Brief, fact block, comparison table, FAQ, and methodology templates for writers.
White-label report outline with AI visibility, actions, revenue, and next-month priority sections.
Training fixture for publish, rollback, snippet, llms.txt, and markdown mirror workflows.