01
SERP Analysis
Discover what competitors rank for
AraLith reads the SERP, identifies top competitors and extracts structure, keywords and performance signals useful for new content.
AI Assistant for SEO and Content in the Page Builder
The Ubersuggest MCP integration that unifies keyword research, AI copy and publishing
With AlesLab, the page builder doesn't just layout pages: it becomes an operational SEO workspace. The AI assistant uses data collected through MCP server, retrieves insights from Ubersuggest, reads the SERP and proposes content ready to be optimized directly inside the CMS.
The result is a continuous flow between research, writing and publishing. Fewer manual steps, fewer open tabs, more control over content that needs to generate traffic and conversions.
-
Keyword research inside the builder
Volume, difficulty, CPC and related keywords come from Ubersuggest directly into the page builder. The team works with real data while writing.
-
SERP and competitor analysis
AraLith reads organic results, extracts structure, headings and competitor patterns and transforms them into usable editorial benchmarks.
-
Workflow without context switching
Research, outline, copy and publishing live in the same panel. Manual steps are eliminated and time and operational friction are reduced.
-
AI copy guided by SEO data
The assistant proposes texts, headings and CTAs using keywords and competitive patterns emerging from the analysis, not drafts disconnected from context.
-
SEO audit before publishing
Meta tags, heading structure, keyword coverage, internal links and social signals are checked before the page goes live.
From SEO data to published page in a single environment
Ubersuggest MCP brings keywords, competitors, SERP and editorial opportunities into AraLith
The advantage is not just technical, it's operational: marketing defines the target, AI suggests the copy, the builder organizes it and the team publishes with already validated insights. A process that normally requires multiple external tools is compressed into a single workflow.
2-4h
saved between keyword research, outline and first draft
5SEO checks
completed before page publication
+
publishing speed: fewer steps between tools, more pages ready in the same time
+
editorial consistency: copy, structure and CTAs aligned with SEO data and search intent
How the integrated AraLith + Ubersuggest MCP workflow works
The page builder becomes an SEO decision center: each phase uses real data, automations and contextual suggestions to reduce time, improve copy and make the team more autonomous.
Related: the SEO orchestration platform.
02
Keyword research
Volume, difficulty and opportunities
Ubersuggest returns volume, difficulty, CPC and related keywords. These insights immediately enter the builder and guide the content.
03
AI copy generation
Content aligned with search intent
The AI assistant uses collected data to suggest headings, sections, benefits and CTAs already aligned with search intent.
04
Builder composition
A single work environment
Suggested content is immediately organized into components, sections and CTAs. The builder remains the team's single work environment.
05
Real-time optimization
SEO audit during construction
Meta tags, keyword coverage, readability and semantic coherence can be corrected while the page is being built, not afterwards.
06
Audit and publication
Final check before deployment
Before going live, the CMS checks the main SEO and social signals. The page goes out more complete and more competitive.
PRIORITY ACCESS
Bring into your site a COS and a page builder that works with SEO data
Reduce production time and increase the value of published content
The integration between page builder, AI assistant and Ubersuggest MCP enables building pages that are more informed, faster to publish and easier to optimize over time. It's the difference between an editor that layouts and a system that truly helps make editorial decisions.
