A Practical 90-Day AEO Plan for Local Businesses
A staged three-month plan for improving business identity, public authority, AI-facing answers, and measurable recommendation readiness.
Runexus Blog
Fast, machine-readable field notes on AI presence, entity consensus, answer engine optimization, and the operational standards brands need for agentic discovery.
Building a Safe AI Agent for a Local Business
A simple architecture for giving AI systems useful business answers without allowing models to invent facts or silently publish changes.
Why Reviews Need Context to Help AI Recommendations
How recency, specificity, source quality, and sentiment patterns make customer reviews more useful to answer engines.
The Difference Between Being Found and Being Selected
Why technical discovery is only the first step and what additional evidence an answer engine needs to confidently recommend a business.
How to Measure Whether AI Can Recommend Your Business
A disciplined method for testing local recommendation questions without turning variable AI answers into misleading ranking claims.
What an AI-Ready Local Business Profile Needs
The essential truth, evidence, boundaries, and machine-readable surfaces a local business needs before adding advanced AI automation.
Why Service Area Precision Changes AI Recommendations
How clear geographic eligibility helps answer engines match local businesses to the right customers without overstating reach.
The Business Facts AI Must Agree On
The small set of identity and operating facts that should remain consistent across a website, public profiles, and AI-facing systems.
How Answer Engines Build a Local Shortlist
A practical look at the identity, location, relevance, and trust signals that help a local business enter an AI recommendation set.
AI Presence Is the New Brand Surface
Why brands now need to manage what AI systems can verify, retrieve, and confidently repeat.
What the RNX Protocol Measures
A practical overview of the RNX measurement layers without exposing scoring internals or implementation recipes.
Why Domain Clarity Comes Before Authority
Why AI systems need a clean primary source before wider authority signals can work in your favor.
Authority Is Consensus, Not Volume
Why AI systems care about corroboration, source quality, and conflict reduction more than raw mention counts.
Agent Readiness Without Overpromising
How businesses can prepare for AI-to-AI interaction without pretending every site needs full automation on day one.
Why AI Presence Needs an Operational Cadence
Why one-time AI readiness fixes decay unless businesses monitor domain, authority, and agent signals over time.