Social listening for brands in Saudi Arabia
MarketListener collects public mentions of your brand and your competitors, groups them into stories, and labels each one with AI that shows its evidence. So the numbers you take to leadership are numbers you can stand behind.
Overview screen · demo data for a sample account
On Instagram, TikTok and Facebook, coverage is narrower and centers on comments on your official accounts' posts.
How it works
MarketListener collects new mentions through the day, labels each one, and puts what changed at the top.
01Listen
02Understand
03Act
AI that shows its work
A model labels every mention so your team doesn't have to. Your team keeps the final word.
The exact words that led to a label are underlined in the post.
Mixed or sarcastic posts aren't forced into neutral. They are counted on their own.
Analysts fix a wrong label in one click. The change is logged with their name, and a reason if they add one.
The AI never writes summaries or reports. People do.
Handles, links and numbers are removed before a post reaches the model. Individuals are counted, never named.
See exactly what the model did, so you know how far to trust the numbers.
Product
Cards, inbox or table views, with filters, assignment and bulk actions.
Copies, reposts, quotes and replies grouped under the post that started them.
Your share against each competitor, by channel and by week.
The same metrics side by side, and where you lead or trail.
The media and creators who move the conversation. Individuals are counted, never named.
The most used words and tags, the topics behind the numbers, and the words that are rising.
Spikes, negative spikes and sensitive words, sent to email, Teams or Slack.
Scheduled reports in Arabic and English, as PDF or PowerPoint.
Draft, approve and schedule posts for your official accounts.
Competitor ad intelligence
MarketingSpy tracks the paid ads of up to 14 competing banks, archives their creatives, and tells you every Sunday what changed.
Meta and Google are collected automatically, LinkedIn and TikTok add what they publish, and X and Snapchat ads can be logged by hand. Creatives are archived, so they outlive the platform's expiring links.
First and last seen dates turn duration into a metric. A long run shows a competitor keeps the ad up; it says nothing about results.
When a bank's new ads run above its usual pace, it's flagged as a possible launch.
Marsa Bank: 12 new ads in 7 days, above its usual pace.
Ranks each bank's ad presence against the market you track: volume, platform breadth, costly formats and staying power.
72/ 100
Waha Bank, this week
One ZIP of every archived creative, sorted by bank and platform, with a CSV manifest.
ofuq-ads-2026-10-25.zip
Launches, escalations and stops from the week that just closed, in Arabic and English. It's drafted from the week's stored facts, your team can edit it before it's published, and it exports to PDF.
Sunday, 7:00EN · PDF
Week of Oct 18 to 24
الأحد 7:00عربي · PDF
أسبوع 18 إلى 24 أكتوبر
Each customer gets a dedicated app, database and media storage. Nothing is shared between customers.
Visuals use demo data. Ad counts come from public ad libraries and measure activity, not spend.
Use cases
Know how people feel about you this month, compared with the month before.
Spot a rival's launch, offer or outage the day it starts.
See a spike within the hour, with the posts behind it and who is handling it.
Follow a campaign's hashtag and story, with mentions, reach and sentiment from launch to last day.
Read App Store, Google Play and Google Maps reviews next to social posts.
Give product owners the topics and requests that keep coming back.
Marketing and brand
Share of voice, campaigns and the weekly report.
Product owners
Topics, feature requests and app reviews, product by product.
Customer care
Complaints routed to the right team, with full context and internal notes.
Corporate communications
Media coverage, sensitive words and crisis alerts.
Reporting
X, Threads, TikTok, YouTube, Instagram, Facebook, news sites, App Store and Google Play reviews, and Google Maps reviews of your branches. Arabic forums and blogs can be added as an extra source. On Instagram, TikTok and Facebook, coverage is narrower and centers on comments on your official accounts' posts. Snapchat, private accounts and direct messages are not covered.
It depends on your data, so measure it on your own mentions. The Classification quality screen includes a one-off check where your team compares 200 mentions with the model's labels. It also shows everything the model couldn't decide and every correction your team made.
No. In MarketListener, the AI labels relevance, sentiment and topic only. Summaries, notes and reports are written by people.
Only the text of public posts, after handles, links, phone numbers and account numbers are removed. It never infers anything about the person who wrote the post.
Arabic first, with a complete English version. Posts are always shown in the language they were written in.
Plans are set by the mentions you collect each month, the brands you track, your sources and your users. Book a demo and we'll send you a quote.
We keep post text and evidence for 90 days, then delete it and keep the counts, labels and tags.
See MarketListener on your own brand and competitors, in Arabic and English.
