Run an SEO research agent from Telegram
What I learned covering Manus setup, SEO research, news briefings, memory, scheduling, and credits—and spending 576 credits. Task: The user tested Manus via Telegram to build an SEO research agent. They uploaded three context files (business identity, content strategy, competitor watchlist) and sent a prompt requesting a knowledge base and keyword research for a specific topic. Manus processed the request in the background, generating two PDF reports. The user also tested scheduling a daily news brief, which Manus executed automatically the next morning.; tools: Manus. Human role: The original post does not say how a person stayed involved.; limitations: Manus lacks cost previews, meaning users discover credit usage only after task completion. The free tier limits concurrent tasks and scheduled jobs. Output format is fixed as PDF, offering less control than code-based agents. Source reliability varies; without context files, outputs may be generic. Monthly credits do not roll over, creating use-it-or-lose-it pressure..
Tools
Published on Agent Work Atlas:
Overview
What I learned covering Manus setup, SEO research, news briefings, memory, scheduling, and credits—and spending 576 credits.
Workflow
The user tested Manus via Telegram to build an SEO research agent. They uploaded three context files (business identity, content strategy, competitor watchlist) and sent a prompt requesting a knowledge base and keyword research for a specific topic. Manus processed the request in the background, generating two PDF reports. The user also tested scheduling a daily news brief, which Manus executed automatically the next morning.
Reported result
The SEO agent produced professional PDFs with correct content pillar percentages (Route Guides 40%, How-To 25%, Road Status 15%) and cited sources. The task cost 148 credits. The scheduled news brief ran successfully, delivering fresh content at 7am. However, keyword volume data was estimated (High/Medium/Low) rather than precise, and the news brief had lower source citation quality (3/5) compared to the context-heavy SEO task (4/5).
Human role
The original post does not say how a person stayed involved.
Limitations
Manus lacks cost previews, meaning users discover credit usage only after task completion. The free tier limits concurrent tasks and scheduled jobs. Output format is fixed as PDF, offering less control than code-based agents. Source reliability varies; without context files, outputs may be generic. Monthly credits do not roll over, creating use-it-or-lose-it pressure.
Try it
I want to test Manus for SEO research using Telegram. First, prepare three markdown files: [business-context.md], [content-strategy.md], and [competitor-watchlist.md]. Connect Manus to Telegram via QR code. Upload these files to the chat. Then, send this prompt: 'You are an SEO research agent. Using the uploaded files, create a structured SEO knowledge base and a keyword research brief for [target topic]. Include top 10 keywords, competitor analysis, and content gaps.' Wait for the PDF output. Review the content pillar percentages and source citations. If satisfied, ask Manus to 'Schedule this to run every morning at 7am' for a daily news brief. Monitor credit usage after each task. Do not proceed to paid tiers until you verify the free tier's daily refresh covers your needs. Confirm the scheduled task executes correctly the next day before relying on it.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.