AI Search Trends - Ongito Marketing Solutions

Agentic AI Economy: Why 75% of Companies Are Adopting It and Only 15% Are Winning

Leave a Comment / AI Agents for Business, AI Search & GEO, AI Search Trends, Blog

Agentic AI Economy: Why 75% of Companies Are Adopting It and Only 15% Are Winning.

I watched a client’s WhatsApp inbox light up with 123,000 conversations in a single week, and not one of them was answered by a human. That is not a hypothetical. It is a real number from a real retailer, and it is sitting inside Meta’s newly released report on the agentic economy, a document I have been picking apart for the past few days because it lands directly in Ongito’s lane: helping small and mid-sized businesses stay visible as discovery shifts from search engines to ai agents.

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google says llms.txt doesn't affect rankings. here's what it actually does, who's using it well, and how to build one worth your time in 2026.

Llms.txt Playbook: What It Actually Does for AI Crawlers

Leave a Comment / AI Agents for Business, AI Search & GEO, AI Search Trends, LLMS, Technical SEO

Sometime around the end of 2024, a proposal for creating a file called llms.txt began circulating in SEO communities. By early 2025, roughly half the Internet was either building one or saying there’s no use building one because that will take a whole Tuesday afternoon. In general, both sides were right. The fact that both sides were right is enough to write about.

A llms.txt file is simply a plain-text Markdown file located at your site’s root directory that describes your site’s content and points large language model systems to your most important pages, similar to how a Table of Contents directs a reader to a Chapter. Importantly, it does not restrict crawler access (robots.txt continues to perform this function). As of mid-2026, none of the major search or AI providers have indicated they currently consider llms.txt in their rankings or citations. However, llms.txt provides much greater value elsewhere.

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AI Agents for SMEs: Eliminate Busywork, Dominate Growth

Leave a Comment / AI Agents for Business, AI Search & GEO, AI Search Trends, Blog

In mid-2026, AI agents have moved from enterprise pilots to the operating system of any growing business. Forrester’s 2026 report found 68% of SMEs adopting agent workflows cut operational costs within a quarter, while those without are responding to leads three times slower than AI-enabled rivals. This is a competitive gap story, not a technology one.

Unlike traditional automation, which follows fixed rules, an AI agent perceives an input, reasons about the right response, and acts autonomously. Agents are already dominating five functions: round-the-clock customer support, instant lead qualification, competitive intelligence monitoring, automated reporting, and workflow orchestration across Zapier, Make, and n8n. But agents cannot replace human judgment on high-stakes calls, they break when underlying data changes, and they only industrialize whatever process you hand them. The winners start small: audit high-friction tasks, pick the highest-ROI one, map it fully, match the tool to the complexity, then add intelligence.

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