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Digital Marketing
Marketing & Sales AI
Search Engine Optimization (SEO)
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Overview
Search Atlas is an AI-powered SaaS platform that automates and manages search marketing workflows for agencies and marketers. The platform combines an agentic AI (OTTO SEO and Atlas Brain) with tools for SEO auditing, automated technical fixes, AI content generation, Google Ads automation, Google Business Profile (GBP) management, local SEO, link building, and LLM visibility tracking so brands can scale SEO and paid search without expanding headcount. It also offers white-label dashboards, reporting, and managed services tailored to agencies and enterprises.
News
Searchable Review: AI Visibility Tracking Without an Execution Layer
Searchable is an AI-visibility tracking platform that monitors brand mentions and citation frequency across ChatGPT, Gemini, Perplexity, and Google AI Overviews. The platform identifies citation gaps, scores them as Opportunities by impact and severity, a
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Report
Search Atlas vs Okara: 2026 Comparison
Search Atlas vs Okara comes down to a question of scope: one platform is built to get a founder's launch in front of people, and the other is built to run the SEO, local search, paid media, and measurement infrastructure that turns that early traction int
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Report
AI Marketing Workflow Automation, Mapped by Risk
AI marketing workflow automation assigns marketing tasks to AI based on their risk level and the amount of human approval required before execution. Teams automate content creation, technical SEO, paid media, reporting, local SEO, and customer engagement
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Report
From KPI to Prompt: Turning AI CMO Metrics Into an LLM Visibility Tracking Plan
An LLM visibility tracking plan is the concrete, per-platform prompt set that turns a KPI like AI share of voice or brand mention rate into an actual number a team can report every week, and without that prompt set the KPI is just a label with nothing und
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Report
AI CMO Readiness: The Data, the Checklist, and the Implementation Plan
AI CMO readiness is the state a marketing team reaches when its data, governance, and workflows can actually support an autonomous system making and executing decisions. It is not the same thing as buying an AI CMO platform. A team can sign a contract on
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Report
How an AI CMO Builds Source Authority for AI Answers
AI CMO source authority is the coordinated set of owned pages, comparison pages, original research, author profiles, earned press, reviews, and local listings that together give an AI answer engine enough corroborated evidence to cite a brand by name. A s
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Report
Search Atlas vs. Markifact: 2026 Comparison
Search Atlas vs Markifact both put an AI agent to work on advertising accounts, but they were built to close different loops. Markifact is an MCP agent that plugs into Claude, ChatGPT, Gemini, or Cursor and executes bulk operations across Google Ads, Meta
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Report
Human-in-the-Loop AI Marketing: Approval Levels From Draft-Only to Auto-Deploy
Human in the loop AI marketing is a governance model that sets how much a marketing AI can do before a person reviews or approves the change. It is not a single on/off switch between "AI does everything" and "AI does nothing." Teams that get real value fr
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Report
AI CMO for PPC and Google Ads: What to Automate and What to Approve
An AI CMO for PPC is an autonomous software system that manages, optimizes, and scales pay-per-click advertising campaigns inside platforms like Google Ads. It builds campaigns from a stated goal, adjusts bids, clears out negative keywords, rotates creati
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Report
AI CMO for Local SEO: What Multi-Location Brands Should Know
An AI CMO for local SEO is an autonomous marketing system that runs Google Business Profile updates, citation accuracy, location page content, and local rank tracking across every store, branch, or franchise location without waiting for a person to approv
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Tech stack
Technologies named in job postings at Search Atlas over the last 12 months, by layer, with the share of postings for each.
Technologies in use
23
Postings analysed
3
Stack modernity
79/100
Languages
Python
TypeScript
JavaScript
SQL
Frameworks & libraries
Celery
Django
Django REST Framework
Next.js
Databases
MySQL
PostgreSQL
Cloud & platforms
Grafana
Sentry
GitLab
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Full Search Atlas tech stack
23 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$89k
Typical range
$68k – $109k
Open positions
2
2
Jobs
Middle
50%
Architect
50%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Middle | 1 | $68k | $68k |
| Architect | 1 | $109k | $109k |
Highest paying role
Head of Marketing
$109k
Normalized to USD per year
Growth
Hiring Momentum
83/100
Scaling fast
Open positions
3
3 opened / 0 closed in 30 days
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Backend
67% ▲
Marketing
33% ▲
Activity Timeline
Added Stripe to stack
Oct 2026
Added HubSpot to stack
Oct 2026
Added GA4 to stack
Oct 2026
Jobs
≈ $85k – $215k per year (Estimated) • Remote (likely United States, UTC-5 – UTC+0 hours) • Full-Time • 5+ years exp
Python
JavaScript
TypeScript
Django
Celery
Django REST Framework
Databases
MySQL
PostgreSQL
AI/ML
Cursor
Claude Code
AI Agents
Frontend
Next.js
React.js
DevOps
Docker Compose
Loki
CI/CD
Git
Docker
Grafana
Mimir
GitLab
QA
Sentry
Apply
$46k – $68k per year • Remote (likely United States, EST hours) • Full-Time • 3+ years exp
Python
JavaScript
TypeScript
SQL
Claude Code
AI Agents
DevOps
Grafana
QA
Sentry
Apply
