Senior Local SEO Specialist for U.S. Real Estate Brand

Please login or register as jobseeker to apply for this job.

TYPE OF WORK

Part Time

SALARY

$4-5/hour

HOURS PER WEEK

TBD

DATE UPDATED

Apr 7, 2026

JOB OVERVIEW

We are hiring an experienced Local SEO Specialist to help grow a U.S. real estate brand through stronger visibility on Google Search, Google Maps, and neighborhood-level local SEO.

This is not a general SEO or blog-writing role.
We are looking for someone who understands how to improve rankings, authority, and lead generation for a real estate business in a competitive local market.

What You’ll Do
Optimize and manage Google Business Profile
Improve Google Maps / Local Pack rankings
Audit and clean up citations / NAP consistency
Build and guide city + neighborhood SEO strategy
Optimize website pages for local search
Improve internal linking, schema, and technical SEO
Help identify and earn quality local backlinks
Track performance and report on rankings, traffic, and lead growth
What We’re Looking For
Proven experience with Local SEO for U.S. businesses
Strong understanding of Google Business Profile
Experience with on-page SEO, technical SEO, citations, and local content
Able to build SEO strategy, not just complete tasks
Strong English communication
Real estate SEO experience is a big plus

Comfortable using tools such as:

Google Search Console
Google Analytics / GA4
Ahrefs, Semrush, BrightLocal, Whitespark, or similar
This Role Is a Great Fit If You
Understand the difference between general SEO and local SEO
Know how to rank for terms like:
realtor in [city]
homes for sale in [neighborhood]
best realtor in [city]
relocation to [city]
Can identify what is hurting local rankings and recommend what to fix first
Focus on qualified leads, not just traffic
To Apply

Please send:

A short intro about your experience
Your background in Local SEO
Any real estate SEO experience
Tools you use
2–3 examples of results you’ve helped achieve

SKILL REQUIREMENT
VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0008
Controller Execution Time ( Jobseekers / Job )  0.0172
Total Execution Time  0.0186
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,473,304 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Senior-Local-SEO-Specialist-for-US-Real-Estate-Brand-1618796
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0093 seconds)  (Hide)
0.0004   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0009   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1618796
 LIMIT 1 
0.0013   SELECT *
FROM `employers`
WHERE `employer_id` = 774901
 LIMIT 1 
0.0008   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1618796
AND `misc`.`idIS NULL 
0.0005   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-04-13',ej.date_added) duration_daysDATEDIFF('2026-04-13',e.rebill_date) duration_rebillej.*, e.deactivate FROM employers eemployer_jobs ej WHERE e.employer_id ej.employer_id AND
                                   ((
e.user_level >= '500' AND ej.date_added <= e.rebill_date)
                                   OR 
e.employer_id '' OR (ej.date_approved <> '2000-01-01' and DATEDIFF('2026-04-13',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1618796' 
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1618796 
0.0008   UPDATE employer_jobs SET hit_counts '***Apr-07-2026=330***Apr-08-2026=72***Apr-09-2026=30***Apr-10-2026=14***Apr-11-2026=5***Apr-13-2026=1' WHERE job_id'1618796'  
0.0006   UPDATE employer_jobs SET monthly_hits '***Apr-2026=452' WHERE job_id'1618796'  
0.0014   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1618796' AND status LIKE 'sent%' ORDER BY id DESC  
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1618796 
0.0014   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '774901'
AND `date_added` >= '2022-06-08' 
0.0003   select from teasers 
0.0002   SELECT FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)