COLLECTING A SEMANTIC CORE FOR A CLEANING COMPANY'S WEBSITE
Budget: €8 – €30 EUR
Task:
Collect a semantic core for developing a website for a cleaning company operating in Dubai. The core should take into account the 50 most prestigious and largest areas of Dubai, include commercial and informational queries, as well as keywords related to cleaning services.
Goal of work:
1. Increase the visibility of the site in search engines.
2. Consider local features of user queries for 50 areas of Dubai.
Scope of work:
1. Analysis of the target audience and competitors:
• Research popular cleaning services in Dubai.
• Analyze competitors' websites, their semantic core, structure and keywords.
2. Collection of keywords:
• Main services:
• Cleaning of residential premises (villas, apartments, flats).
• Cleaning of commercial premises (offices, shops, restaurants).
• Specialized services (deep cleaning, carpet dry cleaning, disinfection, window washing).
• Geo-dependent queries for 50 districts (for example:
• "Cleaning services in Dubai Marina".
• "Office cleaning in Downtown Dubai".
• "Carpet cleaning Palm Jumeirah").
3. Frequency analysis of queries:
• Evaluate the frequency of the collected keywords using tools (Google Keyword Planner, Ahrefs, SEMrush).
• Identify queries with high, medium and low frequency (HF, MF, LF).
4. Clustering queries:
• Divide the keywords into the following categories:
• Districts of Dubai.
4. Filtering:
• Exclude irrelevant queries.
• Consider the competitiveness of queries.
List of areas to be included in the semantic core:
1. Dubai Marina
2. Downtown Dubai
3.Palm Jumeirah
4.Business Bay
5. Jumeirah (Jumeirah 1, 2, 3)
6. Emirates Hills
7. Al Barari
8. Arabian Ranches
9. Dubai Hills Estate
10. Bluewaters Island
11. Jumeirah Islands
12. Jumeirah Beach Residence (JBR)
13. Damac Hills
14. Tilal Al Ghaf
15. Mohammed Bin Rashid City (MBR City)
16. District One
17. Meydan
18. Port de La Mer
19. Al Safa
20. The Springs
21. The Meadows
22. The Lakes
23. Victory Heights
24. Jumeirah Golf Estates
25. City Walk
26. Nad Al Sheba
27. Dubai Creek Harbor
28. Al Habtoor City
29. Wasl1 Residences
30. Pearl Jumeirah
31. Umm Suqeim
32. Mudon
33. The Greens and Views
34. Serena
35. Dubai Festival City
36. Jumeirah Village Circle (JVC)
37. Jumeirah Village Triangle (JVT)
38. Al Furjan
39. Culture Village
40. Emaar South
41. Dubai Silicon Oasis (DSO)
42. Remraam
43. Barsha Heights (Tecom)
44. Mirdif Hills
45. Al Khawaneej
46. Zabeel (Zabeel 1, 2)
47. Al Quoz
48. Dubai South
49. Green Community
50. Hatta
Result of work:
1. Semantic core:
• Format: Excel or Google Sheets.
• Fields:
• Key phrase.
• Frequency.
• Request type (commercial/informational).
• District
2. List of requests for compiling meta tags (Title, Meta Description).
Collect a semantic core for developing a website for a cleaning company operating in Dubai. The core should take into account the 50 most prestigious and largest areas of Dubai, include commercial and informational queries, as well as keywords related to cleaning services.
Goal of work:
1. Increase the visibility of the site in search engines.
2. Consider local features of user queries for 50 areas of Dubai.
Scope of work:
1. Analysis of the target audience and competitors:
• Research popular cleaning services in Dubai.
• Analyze competitors' websites, their semantic core, structure and keywords.
2. Collection of keywords:
• Main services:
• Cleaning of residential premises (villas, apartments, flats).
• Cleaning of commercial premises (offices, shops, restaurants).
• Specialized services (deep cleaning, carpet dry cleaning, disinfection, window washing).
• Geo-dependent queries for 50 districts (for example:
• "Cleaning services in Dubai Marina".
• "Office cleaning in Downtown Dubai".
• "Carpet cleaning Palm Jumeirah").
3. Frequency analysis of queries:
• Evaluate the frequency of the collected keywords using tools (Google Keyword Planner, Ahrefs, SEMrush).
• Identify queries with high, medium and low frequency (HF, MF, LF).
4. Clustering queries:
• Divide the keywords into the following categories:
• Districts of Dubai.
4. Filtering:
• Exclude irrelevant queries.
• Consider the competitiveness of queries.
List of areas to be included in the semantic core:
1. Dubai Marina
2. Downtown Dubai
3.Palm Jumeirah
4.Business Bay
5. Jumeirah (Jumeirah 1, 2, 3)
6. Emirates Hills
7. Al Barari
8. Arabian Ranches
9. Dubai Hills Estate
10. Bluewaters Island
11. Jumeirah Islands
12. Jumeirah Beach Residence (JBR)
13. Damac Hills
14. Tilal Al Ghaf
15. Mohammed Bin Rashid City (MBR City)
16. District One
17. Meydan
18. Port de La Mer
19. Al Safa
20. The Springs
21. The Meadows
22. The Lakes
23. Victory Heights
24. Jumeirah Golf Estates
25. City Walk
26. Nad Al Sheba
27. Dubai Creek Harbor
28. Al Habtoor City
29. Wasl1 Residences
30. Pearl Jumeirah
31. Umm Suqeim
32. Mudon
33. The Greens and Views
34. Serena
35. Dubai Festival City
36. Jumeirah Village Circle (JVC)
37. Jumeirah Village Triangle (JVT)
38. Al Furjan
39. Culture Village
40. Emaar South
41. Dubai Silicon Oasis (DSO)
42. Remraam
43. Barsha Heights (Tecom)
44. Mirdif Hills
45. Al Khawaneej
46. Zabeel (Zabeel 1, 2)
47. Al Quoz
48. Dubai South
49. Green Community
50. Hatta
Result of work:
1. Semantic core:
• Format: Excel or Google Sheets.
• Fields:
• Key phrase.
• Frequency.
• Request type (commercial/informational).
• District
2. List of requests for compiling meta tags (Title, Meta Description).