Tutorial 5: Landing Page SEO Analyzer

Documentation Index

Fetch the complete documentation index at: https://docs.jsonify.com/llms.txt

Use this file to discover all available pages before exploring further.

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Goal

1. Company name.
2. Count of H1, H2, H3 tags.
3. Key phrases or keywords found on the page.
4. Presence of trust signals or specific UX elements.
5. Word count.
6. A general SEO-focused analysis or summary based on the content.

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Key Blocks Used

• Timer (Trigger)
• Google Search (Input)
• Find Links (Transform)
• Follow Links (Input)
• Interact with Page (Transform)
• Extract Data (Transform - for analysis)

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What You’ll Learn

• How to set up a scheduled workflow using the Timer block.
• How to process Google search results to identify and visit target landing pages.
• How to handle pop-ups and overlays to ensure clean data extraction.
• How to instruct the Extract Data block to perform analytical tasks and generate insights.
• Understanding basic Google search query refinement.

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Steps

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1. Create a New Workflow

• Navigate to your Jsonify Dashboard.
• Click: Create an empty workflow ➙ Extract.
  • The default Open Websites block and initial trigger will be modified or removed.

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2. Add and Configure Timer Block (Trigger)

• We want this workflow to run periodically. First, to add the Timer trigger:
  1. Look at the block categories at the top of the editor (Trigger, Input, Transform, Filter, Output).
  2. Select the Trigger category.
  3. From the dropdown list, select Timer.
  4. Click the + icon on the canvas in the starting (“placeholder”) position.
• Select the Timer block to configure it:
  • Choose a time interval for this task to start at: Select your desired frequency, e.g., Every 7d (for weekly).
  • Start at a specific time of day in GMT (optional): Set a time, e.g., 09:00.

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3. Remove Default Open Websites and Add Google Block

• Select the Open Websites block that came with the template. In the bottom right corner of its configuration panel, click Delete.
• Now, add the search functionality:
  1. Look at the block categories at the top of the editor.
  2. Select the Input category.
  3. From the dropdown list, select Google.
  4. Click the + icon on the canvas after the Timer block.
• Select the Google block to configure it:
  • What should the AI search for?: Enter your target query, e.g., Photo studio in London -top -brand.
    • Search Query Explanation:
      • Photo studio in London: This is the main search phrase.
      • -top -brand: The minus sign (-) before a word or phrase tells Google to exclude results containing that specific word/phrase. This can help refine your search results.

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4. Add and Configure Find Links Block

• From the Google search results page, we need to identify links to the actual landing pages.
• To add a new block:
  1. Select the Transform category at the top of the editor.
  2. From the dropdown list, select Find Links.
  3. Click the + icon on the canvas after Search on Google.
• Select the Find Links block.
  • What kind of links?: Find links to the first 5 different offers on Google search.

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5. Add and Configure Follow Links Block

• The agent now needs to visit each of these 5 landing pages.
• To add a new block:
  1. Select the Input category at the top of the editor.
  2. From the dropdown list, select Follow Links.
  3. Click the + icon on the canvas after Find Links.
• Select the Follow Links block.
  • Which links to follow?: Choose Follow each link.

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6. Add Interact with Page to Handle Pop-ups

• Many websites show cookie banners or subscription pop-ups that can obscure content. We need to close these before analysis.
• To add a new block:
  1. Select the Transform category at the top of the editor.
  2. From the dropdown list, select Interact with Page.
  3. Click the + icon on the canvas after the Follow Links block.
• Select the Interact with Page block to configure it.
  • Describe the action to take below: Enter a clear instruction to handle common pop-ups. For example:
    close all pop-up windows
    
  • Advanced Settings: Click Advanced in the bottom right corner. Set “Maximum number of steps” to 3. This allows the AI agent to perform up to three distinct actions (e.g., close a cookie banner, then close a newsletter pop-up, etc.) to clear the page before analysis. This number is an optimal assumption that there will be fewer than three pop-ups on the page.

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7. Configure Extract Data Block (The Analysis Step)

• This block will execute on each of the 5 landing pages after the pop-ups have been handled.
• Select the Extract Data block (it should be the last block, now connected after Interact with Page).
• What information…?: Select A single item.
• Enter Advanced Mode (Edit data shape - JSON): Click Advanced to switch to JSON mode.
• Enter the following JSON schema. The values <...> are prompts for the AI:
  {
    "company": "<name of the company from the landing page content>",
    "count_of_h1/h2/h3": "<Count of H1, H2, and H3 tags. Example: H1:1, H2:3, H3:5>",
    "key_words": "<Which expressions occur how often on the page (keyword analysis; note: word combinations must also be taken into account), list them separated by commas. Max 10-15 phrases.>",
    "title": "<The HTML title of the current page>",
    "ux_standpoint": "<Trust signals or tools provided on the page (e.g., testimonials, live chat, security badges)>",
    "word_count": "<The total approximate number of words on the current page's main content>"
  }
  
• Add additional instructions and guidance…:
  • Analyze the company's landing page in terms of SEO and key content elements. Populate the fields based on the page content. For key_words, identify recurring and prominent phrases.

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8. Run Your Workflow (Manually for Testing)

• Although scheduled, you can test it immediately. Click the Run manually button.
• The agent will:
  1. Perform the Google search.
  2. Identify the top 5 landing page links.
  3. For each of these 5 pages: a. Navigate to the page. b. Close any pop-ups found. c. Perform the analysis and extract the data according to your JSON schema.

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9. Check the Results

• You will be redirected to the current run’s page where results will populate.
• Once completed, click on “View as sheet”.
• You should see a table with 5 rows (one for each analyzed landing page), and columns corresponding to your JSON schema.