ai-readiness-assessor

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

1. Confirm client/project context.
2. Identify available evidence.
3. Ask only the missing high-value questions.
4. Score each readiness area from 0 to 10.
5. Flag red flags even if the overall score is high.
6. Produce both client-facing and internal LightSpeed sections.
7. Recommend LightSpeed service/package routes.
8. Output Markdown that can be pasted into a Google Doc.

Scoring areas

Score each from 0 to 10:

1. Website foundations
2. Content readiness
3. Search, structured data and AI discoverability
4. Brand, UX and design system readiness
5. Data, privacy and governance
6. 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.md
• references/red-flags.md
• references/report-template.md
• references/tool-checks.md

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Maintained by the 🤖 LightSpeedWP Automation Team

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