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Learn more from members of our team and industry-leading experts.

Guide

Agentic Routing: Sending Each Task to the Right Model

Stop wasting GPU cycles on tasks that don't need GPT-5. Learn to classify, tier, and route AI content tasks to the optimal model, Claude, Gemini, or GLM, to cut

HHermanRead more
Guide

Building an Agentic Harness for AEO Content Generation

A step-by-step guide for engineers on wrapping models in an agentic harness, with tools, validation, retries, and memory, to produce citation-worthy content

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Guide

Loop Engineering: Designing Reliable Agent Loops for Content at Scale

Stop agent loops from drifting on long content jobs. Step-by-step loop engineering for reliable AI content generation: verifiers, state persistence, and

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Guide

The Agent Loop: How SearchFit's Content Engine Thinks, Acts, and Verifies

See how SearchFit's plan-act-observe agent loop systematically earns AI citations, unlike one-shot prompting. Proven strategies for ChatGPT, Perplexity, Gemini

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Guide

Agents' Last Exam and What Model Benchmarks Miss for AEO

ALE benchmarks reveal a chasm between model accuracy and AI citation readiness. Learn which tests actually predict AEO performance, and what to benchmark

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Guide

The AEO Statistics Every CMO Should Quote in 2026

Build an unassailable business case for AEO in 2026 with 12 data-backed stats on AI citation rates, CMO investment trends, and ROI timelines from ChatGPT

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Guide

Kimi K2.6 and the Open-LLM Race: Should AEO Teams Care?

Kimi K2.6 launches as the first open-source model beating GPT-5.4 on SWE-Bench Pro. This step-by-step guide helps AEO teams assess quality, cost, and licensing

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Guide

Unify SEO and AEO: One Content Program, Two Payoffs

Stop budgeting SEO against AEO. Learn the step-by-step playbook to unify classic search and answer engine optimization into a single content program that earns

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Guide

Local AEO: Getting Cited in Location-Based AI Answers

Stop losing local traffic to AI answers. Step-by-step guide for multi-location and agency teams to earn citations in ChatGPT, Perplexity, Gemini, and Claude

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Guide

Entity Consistency for AEO: One Brand Story Across the Web

Learn a step-by-step playbook to unify your brand's entity signals across the web, making AI engines like ChatGPT and Perplexity confident enough to cite you.

KKevinRead more
Guide

Answer-First Content: The Format AI Engines Extract and Cite

Stop losing traffic to AI-generated answers. Learn the precise content format that ChatGPT, Perplexity, Gemini, and Claude extract and cite, step-by-step guide

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Guide

Gartner Says 25% of Search Moves to AI Chatbots: The CMO Response

Gartner predicts 25% of search will shift to AI chatbots by 2026. This tactical guide shows CMOs how to audit AI visibility, reclaim traffic, and lead the

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Guide

42% of B2B Buyers Now Use AI Search to Evaluate Vendors

A Semrush survey found 42% of B2B buyers now use AI to evaluate vendors, before visiting websites. Learn the exact steps to get your brand cited in ChatGPT

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Guide

AI-Referred Visitors Convert at 4.4x: What CMOs Should Do About It

AI-referred visitors convert 4.4x more than organic, but only if you track them. Learn the precise steps CMOs must take to capture and scale AI search traffic.

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Guide

The Quarterly Content Refresh Playbook for AI Citations

Stop losing AI citations to stale content. This quarterly refresh playbook shows exactly what to update and how to prioritize so your pages get cited by

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Guide

Content Freshness Is an AEO Ranking Factor: The 12-Month Rule

83% of AI citations come from recently updated pages. Learn the quarterly refresh cadence to boost AEO rankings across ChatGPT, Perplexity, Gemini, and more.

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Guide

Front-Load for Citations: Why 44% of AI Citations Come From the First 30% of a Page

Stop leaving AI citations to chance. Learn how front-loading your content, putting extractable claims in the first 30% of the page, can capture 44% of AI

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Guide

Task Type Matters More Than Model: Choosing an LLM for Each AEO Job

Hallucination varies more by task than by model. Learn to classify AEO content jobs and use the right LLM for each, ChatGPT, Claude, Gemini, Perplexity, to boost

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Guide

Extended Thinking Is the Biggest Hallucination Fix of 2026, and the Priciest

Learn when to use extended thinking on ChatGPT, Claude, Gemini to slash hallucination rates in AEO content. Step-by-step guide to costs, ROI, and scaling for

KKevinRead more
Guide

Open-Weight Models for AEO: GLM 5.2, Kimi K2.6, and the Cost Case

A technical guide to using open-weight models like GLM 5.2 and Kimi K2.6 for citation-worthy AEO content. Learn when open models beat paid APIs and how to run

HHermanRead more
Guide

GLM 5.2 Hallucinates Far Less Than GPT-5.5: Why That Matters for AEO

GLM 5.2's 28% hallucination rate vs GPT-5.5's 86% changes AEO. Learn how to use this MIT-licensed model to generate factual content that AI search engines cite.

HHermanRead more
Guide

Claude Fable 5 for Knowledge Work: Why It Still Leads on Research-Heavy AEO

Learn how to deploy Claude Fable 5 for research-heavy AEO content that gets cited by ChatGPT, Perplexity, Gemini, and Claude. Step-by-step framework with

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Guide

GPT-5.6 Sol Is Cheaper and Faster: What That Means for Content Teams

GPT-5.6 Sol cuts content costs by half vs. Fable 5 and delivers faster output. Here's how to route work between models to maximize AI visibility and team

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Guide

Claude Fable 5 vs GPT-5.6 Sol: The Comparison That Matters for AEO Content

Step-by-step comparison of Claude Fable 5 vs GPT-5.6 Sol for AEO content: test accuracy, citation-worthiness, and cost to choose the right model and win AI

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