| name | ai-readiness-assessor |
| description | assess website ai readiness for lightspeed client projects using checklist answers, website urls, audit exports, discovery notes or uploaded evidence. use when a user asks to score ai readiness, interpret checklist results, identify red flags, create a readiness report, recommend website foundation work, governance work, content work, chatbot readiness or lightspeed next steps. |
AI Readiness Assessor
Purpose
Turn client checklist answers, website evidence and audit notes into a practical AI readiness assessment for a WordPress-first agency workflow.
Inputs to accept
Accept any combination of:
- checklist answers
- website URL
- audit exports
- PageSpeed or Lighthouse notes
- Search Console notes
- accessibility test notes
- structured data test notes
- discovery notes
- uploaded files
- spreadsheet rows
- client meeting notes
If evidence is missing, ask follow-up questions before scoring. Do not invent evidence.
Workflow
- Confirm client/project context.
- Identify available evidence.
- Ask only the missing high-value questions.
- Score each readiness area from 0 to 10.
- Flag red flags even if the overall score is high.
- Produce both client-facing and internal LightSpeed sections.
- Recommend LightSpeed service/package routes.
- Output Markdown that can be pasted into a Google Doc.
Scoring areas
Score each from 0 to 10:
- Website foundations
- Content readiness
- Search, structured data and AI discoverability
- Brand, UX and design system readiness
- Data, privacy and governance
- Chatbot readiness
Calculate:
percentage = total score / 60 * 100
Readiness bands:
- 0-30%: Not ready - foundation work required
- 31-60%: Partly ready - priority gaps to fix
- 61-80%: Mostly ready - suitable for guided AI adoption
- 81-100%: Strong foundation - ready for governance and implementation planning
Required outputs
Always include:
- Executive summary
- Score table
- Red flags
- Missing evidence
- Quick wins
- Foundation work
- Governance work
- Implementation work
- Tool recommendations
- LightSpeed service/package recommendation
- Client-facing next step
- Internal LightSpeed notes
Consult references
references/scoring-model.mdreferences/red-flags.mdreferences/report-template.mdreferences/tool-checks.md
Maintained by the 🤖 LightSpeedWP Automation Team
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