Writing for Agentic Parsing: Content AI Agents Use
Agent-usable content has eight traits: an answer-first capsule, question-shaped headings, tables for comparable facts, consistent entity facts and JSON-LD.
Agent-usable content has eight traits: an answer-first capsule, question-shaped headings, tables for comparable facts, consistent entity facts and JSON-LD.
Caller-ID authentication differs by market: US voice providers must sign calls under STIR/SHAKEN, while Australia relies on an enforceable industry code.
Most B2B sites do not need an MCP server yet. MCP is authenticated developer infrastructure, not a discovery channel, and buying agents do not crawl it.
No AI SDR benchmark is independently audited: no shared test set, no auditor signing off reply rates. Evaluate vendors against your own evidence instead.
Share of model is the share of AI answers, across a defined set of prompts and engines, in which a brand is mentioned, cited or recommended, and how favourably.
Prompt injection is when text an AI agent reads manipulates it into ignoring its instructions. OWASP ranks it the number-one risk for LLM applications.
AI agent observability means seeing not just what an agent did but why: reasoning traces behind each step, logs of every tool call, and outcome attribution.
Colorado’s 2024 AI Act never took effect. It was repealed and re-enacted on 14 May 2026 as SB 26-189, a narrower automated decision-making technology law.
AI agent CRM integration comes down to three patterns: the CRM’s native connector, middleware like Zapier, or a direct API build against HubSpot or Salesforce.
Australian numbers for AI voice agents come from a carrier or CPaaS platform, not the ACMA directly, and the Telemarketing Standard requires CLI on every call.