Automated SEO Audit & Slack Workflow

This workflow is designed to automate the process of SEO auditing for web pages, generate structured review reports, and streamline team communication and follow-up actions via Slack and Google Docs. It leverages multiple AI agents, LLMs, data orchestration steps, and integrations with Slack and Google Docs to create a robust, scalable, and repeatable SEO review process.

High-Level Flow Overview

1. Inputs & Triggers:
   • The workflow can be triggered by receiving a message in a specific Slack channel (when the bot is mentioned), or via manual chat input.
2. AI-Powered SEO Review:
   • The workflow uses advanced prompt templates and Google Gemini LLM models to analyze page content and perform an SEO audit based on industry-standard and custom checklists.
3. Specialized Sub-Audits:
   • Additional agents further analyze Google Search Console (GSC) data and perform cannibalization checks using specialized prompts and tools.
4. Data Aggregation & Formatting:
   • Results from each audit are aggregated into structured data, parsed, and formatted for human consumption.
5. Reporting & Notification:
   • The output is sent to Google Docs as a persistent record, and a summary notification (with the review link and highlights) is sent to the SEO team Slack channel.
6. Follow-up Automation:
   • The system prompts the team to approve, request further review, or proceed with next steps, and can automate page indexing based on admin approval.

Detailed Step-by-Step Description

1. Trigger & Input Collection

• Slack Message Trigger:
  When the bot is mentioned in a specific Slack channel, it captures the message as an input, ensuring that only relevant requests are processed.
• Manual Input (Optional):
  The system also supports manual input through a chat interface, allowing for flexibility and testing.

2. Main SEO Audit (General Check)

• The workflow uses a Prompt Template with a detailed SEO checklist covering:

  • H1, meta title, meta description
  • URL structure
  • Image optimization
  • Word count
  • Internal linking
  • Main keyword occurrences

• The Google Gemini LLM (set to a deterministic, low-temperature mode) analyzes the page content and generates a structured markdown report with actionable recommendations and visual cues (emojis/icons).

• Generator node processes the prompt and LLM model to produce the general audit result.

3. Specialized Audits (GSC & Cannibalization Checks)

• GSC Check:

  • An AI agent, equipped with tools for querying Google Search Console data, checks the page’s position, CTR, and provides suggestions for improvement if the page exists in GSC.
  • Prompt ensures output is structured and actionable.

• Cannibalization Check:

  • Another AI agent, with tools for keyword/domain analysis, checks for other URLs on the same domain competing for the same primary keyword.
  • Recommendations are provided for consolidation or differentiation.

• Each specialized audit uses its own prompt and AI agent, ensuring modularity and focused analysis.

4. Aggregation and Formatting of Results

• Create Data Node:

  • Collates the general audit, GSC check, and cannibalization check results into a structured data object with three main fields:

    Field	Source
    general	General SEO Audit
    gsc_check	GSC Analysis
    cann_check	Cannibalization Check

• Parse Data Node:

  • Uses a template to turn the aggregated data into a readable markdown format, with separate sections for each type of analysis.

• Set Flow Variable:

  • Stores the parsed, human-readable review as a flow variable (seo_review) for easy retrieval and use in subsequent steps.

5. Report Delivery: Google Docs and Slack

• Google Docs Integration:

  • The completed review is automatically saved as a Google Doc (seo_review), ensuring a persistent, shareable record.

• Slack Notification:

  • A message template is used to craft a notification to the SEO team’s Slack channel, summarizing the review, including the Google Docs link, and prompting the team for feedback or next steps.

• Slack Send Message Node:

  • Sends the formatted message to Slack, following up in the thread for ongoing discussions.

6. Outputs & Team Feedback

• Chat Outputs:

  • Multiple chat outputs exist for playground/testing or further consumption by other systems.

• Team Decision Loop:

  • The Slack notification asks the team to reply in the thread, indicating whether the page should be reviewed again or if the workflow should proceed to index the page.

• Automation of Next Steps:

  • If team/admin approves, the workflow can automatically trigger tools (via the MCP client integration) to send the page URL to Google Search Console for indexing, and can prioritize based on business logic (e.g., CPC, seasonality).

Key Components and Integrations

Why Is This Workflow Useful for Scaling and Automation?

• Consistency:
  Every page is analyzed using the same detailed criteria and templates, reducing human error and bias.

• Speed:
  Reviews, notifications, and indexing can happen in minutes, not days.

• Collaboration:
  Team feedback is streamlined into Slack threads, with all context and links provided automatically.

• Audit Trail:
  Each review is saved as a Google Doc, creating a searchable history for compliance and learning.

• Extensibility:
  The modular approach allows for integration of additional tools, more specialized audits, or adaptation to other content types.

• Automation of Repetitive Tasks:
  From content review to GSC indexing, the system can handle routine actions without manual intervention, freeing up experts for higher-value work.

Example Workflow in Action

1. SEO manager mentions the bot in Slack:

   • “Hey @SEOBot, review https://www.liveagent.com/blog/ for launch!”

2. Workflow triggers:

   • Captures the input, runs the general audit, GSC and cannibalization checks via LLMs and agents.

3. Report is generated:

   • Collated, formatted, and saved to Google Docs.

4. Slack notification:

   • SEO team receives a detailed message with a review summary and Google Docs link, and is prompted for feedback.

5. Team replies:

   • If approved, workflow can auto-trigger indexing and mark the review as complete.

Embedded Notes & Checklists

• General SEO Checklist (from in-flow notes):

  • H1, meta title/description, URL, images, word count, internal links, keyword usage.

• GSC Check:

  • If URL exists in GSC, check position/CTR and suggest improvements.

• Cannibalization Check:

  • See if other URLs compete for the same keyword; suggest consolidation.

Conclusion

This workflow provides an end-to-end, AI-driven solution for SEO audits, reporting, and team communication. By automating repetitive steps, integrating with external tools, and centralizing feedback and documentation, it enables SEO teams to scale their efforts, improve quality, and react faster to publishing and optimization opportunities.