How do you automate monthly SEO reports in AirOps?

Quick Answer: AirOps lets you build a repeatable monthly SEO reporting workflow by connecting Google Search Console and GA4 as data inputs, then using AI to generate a client-ready performance summary. The result is a structured report that takes minutes to produce instead of hours, without sacrificing accuracy or depth.

If you manage SEO for multiple clients or a growing SaaS product, monthly reporting is one of the most time-consuming tasks on your plate. Pulling data from Google Search Console, cross-referencing it with GA4, writing the narrative, formatting it for a non-technical audience — it compounds fast.

This tutorial walks through exactly how to set up an AirOps workflow that takes GSC and GA4 inputs and outputs a clean, client-ready monthly SEO summary. No prompt guesswork, no copy-pasting between tabs.

What You Need Before You Start

Before building the workflow, make sure you have the following in place:

• An active AirOps account (Growth plan or above gives you the integrations you need)
• Google Search Console property access for the site you're reporting on
• A GA4 property with at least one month of organic traffic data
• A clear idea of what your client or stakeholder cares about: traffic, rankings, conversions, or all three

If you're reporting for multiple clients, you'll build this workflow once and reuse it by swapping the property inputs each month. If you're still refining your reporting stack, it can also help to review what strong B2B SaaS SEO agencies typically include in client deliverables.

Step 1: Set Up Your Data Inputs in AirOps

AirOps workflows are built around inputs and steps. For a monthly SEO report, your two primary inputs are Google Search Console data and GA4 data.

Connecting Google Search Console

Inside AirOps, create a new workflow and add a data input step. Select the Google Search Console integration and authenticate with the Google account that has property access.

Set the following parameters:

• Date range: Last 28 days (or calendar month, depending on your reporting preference)
• Dimensions: Query, page, country, device
• Metrics: Clicks, impressions, CTR, average position

Pull the top 20-50 queries by clicks. This gives you enough data to identify trends without overwhelming the AI step that processes it later.

Connecting GA4

Add a second input step and connect GA4. Authenticate the same Google account if the property sits under the same organisation.

Set these parameters:

• Date range: Match the GSC date range exactly
• Dimensions: Session source/medium, landing page
• Metrics: Sessions, engaged sessions, conversions (or key events), bounce rate

Filter the source/medium to google / organic only. You want SEO-specific data, not blended traffic numbers that muddy the narrative.

Step 2: Add a Data Formatting Step

Raw API exports from GSC and GA4 are not ready for an AI model to interpret cleanly. Before you pass the data to a prompt, add a formatting step to structure it.

Use AirOps's built-in table or JSON formatting options to:

1. Rename column headers to plain English ("avg_position" becomes "Average Ranking Position")
2. Round decimal figures to one or two places
3. Flag any queries where position improved or declined by more than 3 places month-over-month (you'll need last month's data as a second input for this)

The cleaner the data going into the AI step, the more accurate and specific the output will be. This is the same principle used by many B2B SaaS marketing ops agencies when they standardise reporting workflows across clients.

Step 3: Build the AI Summary Prompt

This is where AirOps earns its place in the workflow. Add an AI step and connect it to both formatted data outputs from Steps 1 and 2.

Structuring the Prompt

Write a prompt that gives the model a clear role, the data context, and a defined output format. Here's a working structure:

You are an SEO analyst writing a monthly performance summary for a client.

Use the Google Search Console data and GA4 organic traffic data below to produce a report with these sections:

1. Performance Overview (3-4 sentences summarising overall traffic and ranking trends)
2. Top Performing Pages (list the top 5 pages by clicks with a one-line note on each)
3. Keyword Highlights (top 5 queries by clicks, note any significant position changes)
4. Traffic and Engagement (organic sessions, engaged session rate, and any conversion data from GA4)
5. Observations and Recommendations (2-3 specific, data-backed recommendations for next month)

Write in clear, professional language. Avoid technical jargon. The client is not an SEO expert.

GSC Data: [insert GSC formatted output]
GA4 Data: [insert GA4 formatted output]

Replace the bracketed placeholders with your dynamic data variables from the earlier steps. AirOps handles this through its variable insertion interface — click the {} icon and select the relevant output from each prior step.

Calibrating the Output Length

For a client-facing report, aim for 400-600 words in the AI output. Long enough to feel substantive, short enough that a busy founder or marketing director actually reads it.

If you want a longer internal version alongside the client summary, duplicate the AI step and adjust the prompt to include more granular analysis. If prompt quality is the weak point in your process, comparing your setup against leading B2B SaaS SEO experts can give you a better sense of how experienced operators structure analysis.

Step 4: Add a Month-Over-Month Comparison Input

A monthly report without context is just a snapshot. Clients want to know whether things are getting better or worse.

Add a third input that pulls the previous month's GSC data using the same dimensions. Pass both the current and prior month datasets into the AI step and update your prompt to include:

Compare this month's performance to last month. Highlight any metrics that changed by more than 10% in either direction and explain what likely caused the change.

This single addition transforms the report from a data dump into a narrative that answers the question every client is actually asking: "Is our SEO working?"

Step 5: Format the Output for Client Delivery

Once the AI step produces the summary, add a final formatting step to wrap it in a consistent structure.

Options inside AirOps:

• Google Docs output: Automatically push the report into a templated Google Doc using the Docs integration. Set up a template with your agency branding, and AirOps populates the content fields each month.
• Notion output: If your client uses Notion, push the report directly to a shared workspace page.
• Email draft: Use the Gmail integration to draft a report email ready for your review before sending.

For SaaS teams reporting internally, a Notion or Slack output keeps the report visible without requiring anyone to hunt for it. Teams building out broader reporting systems may also find it useful to benchmark against B2B SaaS digital marketing agencies that offer SEO reporting as part of a wider growth programme.

Step 6: Schedule the Workflow to Run Automatically

Manual triggers are fine for testing. For a production reporting workflow, set a monthly schedule.

In AirOps, go to workflow settings and set a trigger date. Choose the 3rd or 4th of each month so the previous month's data has fully processed in both GSC and GA4 (Google can take 2-3 days to finalise impression and click data).

Add yourself as a notification recipient so you get an alert when the workflow completes. Review the output before it goes to the client — the AI does the heavy lifting, but a 60-second human check catches anything unexpected.

What a Good AirOps Monthly SEO Report Looks Like

A well-built workflow produces a report with these characteristics:

• Specific numbers: "Organic clicks increased from 1,840 to 2,210 (20.1% month-over-month)" not vague directional language
• Named pages and queries: The top performers are called out by name, not averaged into a general trend
• Concrete recommendations: "The /pricing page dropped from position 6 to 11 for 'saas pricing models' — consider updating the page title and adding a comparison table" not "focus on improving rankings"
• Consistent structure: Every report looks the same so clients can scan it quickly and find what they care about

Common Mistakes to Avoid

Not filtering GA4 data to organic only. If you include all sessions, your traffic numbers will be inflated and the AI will produce an inaccurate summary.

Using too short a date range. GSC data for the last 7 days is noisy. Monthly reporting works best with 28-day or calendar-month windows.

Skipping the formatting step. Raw API data confuses the model and produces generic output. Invest 10 minutes in clean formatting and the AI output quality improves significantly.

Sending the report without review. AirOps produces a strong first draft, but AI models occasionally misread data patterns. A quick human review before delivery protects your credibility.

FAQs

What data sources does AirOps support for SEO reporting? AirOps integrates directly with Google Search Console, GA4, Ahrefs, and Semrush, among others. For a monthly SEO report, GSC and GA4 cover the core performance data. Ahrefs or Semrush inputs can be added to the same workflow if you want to include backlink trends or keyword ranking data from a third-party tool.

How long does it take to build this workflow in AirOps? A first-time build takes roughly 2-3 hours, including connecting integrations, writing and testing the prompt, and formatting the output. Once built, running the workflow each month takes under 5 minutes of active work.

Can I use this workflow for multiple clients? Yes. The cleanest approach is to build one master workflow, then clone it for each client and swap the GSC and GA4 property inputs. This keeps the prompt and formatting logic consistent while pulling client-specific data.

Is AirOps a good fit for agency SEO reporting? AirOps works well for agencies managing 5 or more clients where monthly reporting is a recurring time cost. The workflow approach means a junior team member can run reports without needing deep SEO or data analysis skills. The output quality depends on how well the prompts are written, so invest time in the initial setup.

What should a monthly SEO report include? A monthly SEO report should include organic traffic volume, click and impression data from GSC, average ranking positions for target queries, top-performing pages, month-over-month comparisons, and at least two or three specific recommendations. Client-facing reports should present this in plain language without assuming SEO knowledge.