Inside the Admin Console We Built to Run Our Own Agency

The overview dashboard aggregates live counts from every module: new leads this week, blog posts awaiting approval, LinkedIn engagement, backlinks earned, SEO movement. It replaces the morning ritual of logging into eight dashboards to piece together what happened overnight.

Recent activity flows into a single feed—form submissions, chat transcripts that captured an email, sequence replies, published posts. High-score leads and stalled tasks surface automatically, so the team knows where to focus first.

The result is a 10-second health check instead of a 20-minute scavenger hunt. Founders and marketing directors see the same numbers, pulled from the same source, updated in real time.

The floating chat widget on the marketing site streams conversations through the platform's AI layer. When the bot detects an email address or a buying signal, it writes the lead record automatically and tags the conversation with intent.

Transcripts are searchable and filterable by page, intent, and whether a lead was captured. The team can review what visitors asked, spot common objections, and refine messaging. High-intent chats appear in the leads inbox within seconds.

This replaced a third-party chat SaaS that charged per conversation and required manual CSV exports to get the data into the CRM. Now chat is just another lead source, flowing into the same pipeline as forms and tools.

The campaigns module handles bulk outbound: import a recipient list, write the email template, set the schedule, and let the platform send in batches. Open and click tracking is automatic; bounces and unsubscribes are honoured globally across all campaigns.

Templates support merge fields for personalisation, and the AI layer can rewrite subject lines or body copy for A/B testing. Campaigns can be one-shot announcements or multi-step drips, with each step triggered by time or recipient action.

This replaced a dedicated email marketing SaaS that charged per contact and capped sends. Now the only cost is API usage, and recipient lists can be as large as needed. Campaign performance feeds back into the lead scoring model, so high-engagement contacts surface in the CRM.

The LinkedIn module generates post drafts daily using Anthropic's models, pulling inspiration from the blog, RSS feeds, and trending topics. Each draft lands in an approval queue with a one-click email link. Approve, and the post is scheduled into the next free slot. Deny, and it's discarded.

Scheduling slots are configured per day and time—morning and evening posts, for example—and the platform fills them automatically. Once published, engagement metrics (impressions, likes, comments, shares) are polled daily and charted per post.

This replaced a workflow of manual drafting in a notes app, copy-paste into Buffer, and separate analytics in LinkedIn's native UI. Now the entire LinkedIn pipeline—ideation, drafting, approval, scheduling, measurement—lives in one module, and senior time is spent approving, not formatting.

The backlink outreach planner organises campaigns into plans, phases, and tasks. Each task tracks a target domain, contact details, outreach status, due date, and notes. As blog posts and service pages publish, they're automatically added to the asset library—pages the team is trying to earn links to.

A weekly digest email summarises progress: new tasks added, tasks due this week, and recent wins (from the backlink wins module). The planner doesn't send the outreach emails itself—it's a project management layer that ensures nothing is forgotten.

This replaced a shared spreadsheet that was always out of date and a separate backlink monitor that didn't integrate with the content calendar. Now outreach is tied to content, and the team can see at a glance which pages need links and which campaigns are stalled.

The CMS module manages every long-form marketing page: services, pillar content, topic clusters, FAQs. Each page declares target keywords and seed topics. Every week, the platform fetches current search results for those keywords, then asks the AI layer to rewrite the hero, body, meta tags, and FAQs to reflect what's ranking now.

Rewrites are automatic but auditable—every change is logged, and the team can roll back or disable auto-update per page. Internal links are re-extracted after every rewrite, so the link graph stays current and orphan pages are detected immediately.

This replaced a quarterly manual refresh cycle that was always behind the SERP. Now pages stay relevant without human effort, and SEO improvements compound. The platform has rewritten some pages a dozen times, each iteration informed by live ranking signals.

When a blog post is published, the syndication module generates platform-native teasers and posts them to enabled channels—Medium, LinkedIn articles, Dev.to, and others. Each teaser links back to the canonical post, driving referral traffic and expanding reach without manual copy-paste.

The trending topics cache refreshes daily, pulling six clusters of rising search queries. The team uses this feed for ideation—both for blog posts and LinkedIn content—so the agency is always commenting on what the market is searching for right now.

This replaced a manual syndication checklist and a separate trending-topic subscription. Now cross-posting is automatic, and the trending feed is always current. The platform has syndicated hundreds of posts without a single manual login to Medium or Dev.to.