Further AI

08/28/2026

AI is getting cheaper. So why are enterprise AI budgets getting bigger?

Because lower token costs don't necessarily mean lower AI costs.

As enterprises move from copilots and chatbots to autonomous agents, AI systems are doing more: retrieving context, calling tools, reasoning through problems, retrying tasks, and running for longer periods of time.

The result? A single user request can trigger dozens—or hundreds—of model calls.

The economics of software have changed.

In the agentic era, architecture is economics.

Our latest article explores the emerging discipline of AI FinOps, why traditional cost controls aren't enough, and how enterprises can shift from measuring cost per token to cost per outcome.

Read More: https://na2.hubs.ly/H07w16W0

08/18/2026

AI search isn’t just changing how people discover brands — it’s changing what happens before they ever reach your website.

Jason Tabeling of Further breaks down why LLM-referred traffic behaves differently from traditional paid search, including one finding marketers shouldn’t ignore:

📈 LLM referral traffic is converting at 20% — 61% higher than paid search in the dataset analyzed.

But higher intent doesn’t mean you should send these visitors to the same landing pages you use for PPC.

Jason shares what brands should rethink — from building content that earns AI citations to creating richer, context-driven experiences that help users move from an AI-generated recommendation to a confident decision.

Read the full article in Search Engine Land: “LLM traffic converts differently — here’s what to do about it”

🔗https://na2.hubs.ly/H07g6BK0

Please see https://developers.cloudflare.com/support/troubleshooting/http-status-codes/cloudflare-1###-errors/error-1015/ for more details.

07/13/2026

Google’s Universal Commerce Protocol could quietly rewrite retail SEO. Jason Tabeling breaks down what this means for product feeds, paid + organic integration, and how “commerce-native” data will shape discoverability. If Google is redefining how products surface, is your data foundation ready to keep up?

🔗 https://na2.hubs.ly/H06C-kq0

06/15/2026

Heading to Cannes? Meet the Further team at the AI & Tech Sandbox, and catch up on the latest data and AI innovations.

Learn more and schedule time to meet: https://na2.hubs.ly/H067Rsj0

cc: Price Glomski, Jason Tabeling, Daniel Bates

06/12/2026

This breakdown of AI prompt patterns from Search Engine Land by Jason Tabeling shows what’s actually driving visibility in Search right now, with examples by industry.

https://na2.hubs.ly/H065QSx0

06/11/2026

Many teams are running GenAI pilots—but how many are actually seeing measurable business value? This new guest article explains what it takes to move beyond experiments to scalable, trusted outcomes: strong data foundations, governance, and clear, high-impact use cases. How close is your organization to moving from GenAI “tests” to GenAI you rely on every day?

https://na2.hubs.ly/H064Pr50

06/03/2026

Ready to shape the future of data and AI? Meet Further at Cannes Lions’ Tech & AI Sandbox from June 22–25, 2026. Experience live demos, connect with industry innovators, and discover how our AI solutions drive real business results. Let’s connect on the Croisette!

Cannes AI & Tech Sandbox | Further https://na2.hubs.ly/H05WzBB0

06/02/2026

Google I/O 2026 was about more than product demos—it quietly reset expectations for how AI, data, and cloud will work together in retail. From real-time AI agents to more privacy-resilient measurement, these shifts could reshape marketing roadmaps.

Which trend will matter most to your team this year?

🔗https://na2.hubs.ly/H05TWdh0

05/28/2026

The AI conversation has shifted from “What can we deploy?” to “Why is this taking so long to prove ROI?”

The answer isn’t more models—it’s more trust.

Governed ex*****on gives marketing and technology leaders the confidence to move from pilots to production at scale.

How are you currently governing AI decisions, data, and risk so your teams can ship faster without losing control?

🔗https://na2.hubs.ly/H05NPC50

05/27/2026

AI value is not built on speed alone. It depends on the quality of the data, the context surrounding each decision, and the trust teams have in the outcome.

As investment grows, those three factors are becoming the difference between experimentation and measurable results.

Which of these is the biggest gap in your AI strategy today: data, context, or trust?

🔗https://na2.hubs.ly/H05M6DC0