Why Did My Organic Traffic Drop? How to Find the Cause With AI and Your Semrush Data

Organic traffic usually drops for one of four reasons: a competitor took your rankings, keywords slipped out of the top 10, a technical issue appeared on your site, or you lost backlinks. Your SEO dashboard shows when the drop started. The reason sits in Semrush, split across Position Tracking, Organic Research, the backlink reports and the site audit. Finding it means opening four reports, exporting four files and lining them up against your traffic chart in a spreadsheet.

Why did our pipeline drop? Find the cause in HubSpot deal notes (Databox HubSpot MCP)

Why did our pipeline drop? Ask Genie, the Databox AI Analyst, and it reads your HubSpot deal notes through the HubSpot MCP connector to find the cause. In this example, open pipeline is down 17.5% to $1.04M. Genie traces it to 2 deals lost on price after a Sept 1 rate change and 1 deal that lost its champion. In this video: Chapters Key terms Tools and data sources shown: HubSpot (CRM integration and HubSpot MCP connector), Google Analytics, Stripe, Slack. All data is a fictional demo account.

Why did my organic traffic drop? Find the cause with AI (Databox Semrush MCP)

Why did my organic traffic drop? Ask Genie, the Databox AI Analyst, with the Semrush MCP connector. Genie checks your Google Analytics traffic, then runs keyword, competitor, backlink and site audit research in Semrush, all in one answer. In this example, two causes explain almost the whole 14% drop: a competitor took two top keywords, and a canonical tag error went live with a site release. In this video.

YAML is Having a Moment, and the Reason is Agents!

Every few years, a mature technology finds an unexpected use that breathes new life into the data profession. Change data capture did it for data delivery, and cloud data warehouses did it for business analytics. You may think I’m going to wax lyrical about generative AI, but I’m actually thinking of a markup language that's “having a moment” thanks to generative AI.

Ep 97 | AI Agents Move Fast. Who's in Control?

One developer burned through 300 million AI tokens in a single week. The payoff was far less impressive. For Todd Trevillion, it's a striking example of what can happen when AI adoption outpaces the controls needed to manage it. And with autonomous AI agents beginning to make decisions on behalf of businesses, the stakes are getting higher.

Why did MRR drop? Find the cause in Stripe with AI (Databox Stripe MCP connector)

Why did MRR drop this month? Connect Stripe to Genie, the Databox AI Analyst, with the Stripe MCP connector and ask. Genie checks the MRR metric in Databox, then reads the subscriptions, invoices and payments in Stripe. In this demo, two canceled subscriptions and three failed payments explain the whole 3.9% drop, and $2,900 of it is still recoverable. In this video: Chapters.

AI at Scale: Why Trust, Not the Model, Decides Who Wins

Every AI conversation eventually turns into a model conversation: which one is fastest, which one hallucinates least, which one your competitors are already using. Three recent episodes of The Data and AI Chief, hosted by ThoughtSpot's Chief Data and AI Strategy Officer Cindi Howson, make a different case entirely about what it takes to scale AI in the enterprise.

What IT Buyers Need to Know Before a Mainframe Refresh

Most mainframe storage refreshes begin with a notice. A support statement gets revised, a lifecycle date is published, a lease comes due, or a capacity report shows the estate crossing a threshold two years earlier than anyone planned for. A purchase that had been sitting comfortably in a future budget cycle now has to close in this one. Under deadline pressure, the instinct is to buy the current generation of the platform you already run.