The Content That Still Works in AI Search
A bounded guide to original data, inspectable evidence, and clear structure. These inputs do not promise retrieval or citation; measure outcomes separately.
Read More →Expert analysis on AI search optimization, GEO scoring, citation monitoring, and content strategies to help your business get recommended by ChatGPT, Claude, Gemini, and Perplexity.
A bounded guide to original data, inspectable evidence, and clear structure. These inputs do not promise retrieval or citation; measure outcomes separately.
Read More →Google's May 19, 2026 announcement described a redesigned Search experience and made Gemini 3.5 Flash the default model inside AI Mode. It did not establish AI Mode as the global default or formally demote ordinary results; normal SEO foundations remain relevant. AI Overview coverage varies by measurement source, query cohort, collection date, locale, device, and feature definition. This page does not assert a universal current percentage.
Read More →Your clients' rankings held but their leads softened. Here's how to add GEO deliverables — audits, evidence upgrades, entity work, citation reporting
Read More →No market-wide AI-answer prevalence is established here. Measure the business on a fixed, dated prompt set and record the engines, locale, device or account state where relevant, and whether each result is a mention, linked citation, or recommendation. That sample can identify an observed gap; it does not establish that a category is empty, a citation position is unclaimed, or an early entrant will become a default answer.
Read More →Google's May 19, 2026 announcement described a redesigned Search experience and made Gemini 3.5 Flash the default model inside AI Mode. It did not establish AI Mode as the global default or formally demote ordinary results; normal SEO foundations remain relevant. Here is what actually changed, in plain terms, and what it means for your business right n
Read More →Structured data is the highest-leverage, lowest-cost GEO move you can make. Why schema helps AI engines resolve who you are — and how to deploy it wit
Read More →A practitioner's honest walk-through of earning a first AI citation — the evidence signals, schema, and entity work that actually moved the needle, mi
Read More →Five stubborn myths about generative engine optimization that burn marketing budgets — and the honest counter-framing that keeps you from paying for t
Read More →How should AI-search work be evaluated? A framework for measured visibility, qualified outcomes, costs, attribution limits, and uncertainty.
Read More →AI engines don't match strings — they resolve entities. Why keyword thinking fails in AI search, what entity optimization actually is, and how to make
Read More →What Google announced about Information Agents, what remains unobserved, and why ordinary AI answers cannot stand in for direct agent coverage.
Read More →"Best plumber near me" is becoming a conversation with an AI, not a map-pack scan. What AI answers change for local businesses — and the new local pla
Read More →The Princeton-led benchmark tested statistics, quotations, and source citations and measured selected-source relative visibility and impression, not current-engine citation probability.
Read More →Why we separate setup evidence, governed work, monthly AI Presence, and external outcomes.
Read More →If your organic traffic fell off a cliff after May 19, here's what actually happened, which numbers to check, and the plan that replaces panic.
Read More →Google's May 19, 2026 announcement changed AI Mode, but it did not establish a global Search default or a first-mover outcome. What an earlier dated baseline can—and cannot—show.
Read More →Rank reports are getting harder to defend as AI answers absorb clicks. Why agencies are adding Generative Engine Optimization, and what the pivot look
Read More →A practical 12-point Generative Engine Optimization checklist: crawler access, evidence signals, schema, entity clarity, off-site corroboration, and m
Read More →We ran our own AI-readiness scoring engine against our own site. The gaps it found — schema, statistics, quotability, entity signals — and what we fix
Read More →How to build a defined, dated AI-answer baseline without turning one sample into a market-wide statistic.
Read More →Some brands keep showing up in AI answers while their competitors are invisible. Four patterns behind the winners — and how to copy every one of them.
Read More →AI answers are swallowing search faster than most businesses realize. The numbers behind the shift, why it accelerates from here, and what to do about
Read More →An evidence-bound reading of Google’s May 2026 announcement: model and interface facts, rollout limits, and the measurements needed before claiming impact.
Read MoreA useful, technically sound website establishes first-party facts. Accurate profiles, independent references, reviews, and citations can corroborate them across the wider web.
Read MoreThe biggest shift in search behavior since the smartphone. Millions are bypassing Google, asking ChatGPT, Gemini, Perplexity, and Claude for recommendations.
Read MoreA deep dive into five ClickRadius product systems: measured findings, prepared eligible corrections, governed effects, public-origin rereads and monthly external-engine observations.
Read MoreThe SEO industry’s dirty secret: virtually no one implements the recommendations they pay for. AI-powered automation is the only real solution.
Read MoreGenerative Engine Optimization is the practice of optimizing your web presence to be cited by AI search engines. Here's why it matters more than traditional SEO.
Read MoreEntity signals, schema markup, content authority, and review sentiment — what actually drives AI search citations across ChatGPT, Gemini, and Perplexity.
Read MoreHow to build your business entity across Wikidata, Google Business Profile, Apple Maps, Data Axle, and Yelp for maximum AI search visibility.
Read MoreAdvanced schema types that AI engines actually read — SpeakableSpecification, FAQPage, HowTo, and the three-layer schema hierarchy.
Read MoreFinding an issue and changing a live site are separate steps. See how approval, connector capability, delivery receipts and public-origin rereads keep that boundary explicit.
Read MoreHow Bayesian strategy selection works, what ClickRadius currently records, and why customer-outcome training remains inactive until causal evidence controls are complete.
Read MoreLearn how ClickRadius records monthly citation observations from ChatGPT, Gemini, Perplexity, Claude and Grok, and how to check Microsoft Copilot manually because Copilot is not currently supported.
Read MoreHow the agency program separates client pricing, scored wholesale scope, evidence reporting, governed site effects, and illustrative gross revenue.
Read MoreHow local businesses need to adapt for AI search. From Google Business optimization to entity building and AI citation strategies.
Read MoreSix inspectable content inputs, the bounded GEO benchmark, and why readiness work cannot promise an external citation.
Read MoreOn-site quality and off-site corroboration serve different roles in AI visibility. Learn how to evaluate both without assuming a universal percentage split.
Read MoreMeasure monthly sampled AI Presence separately from readiness scores and downstream business outcomes, with evidence-bound before-and-after comparisons.
Read MoreSee how ClickRadius helps businesses become more citable by ChatGPT, Claude, Gemini, and Perplexity.