Insights

A four-part CITE framework for vetting an answer engine optimization agency, with red flags, realistic pricing by engagement model, and a sample scorecard.

A 5-signal VOICE Priority Check framework for deciding whether voice search optimization deserves dedicated B2B budget in 2026, or should ride along with existing AEO and GEO work.

A practical definition of answer engine optimization, how it differs from traditional SEO, and the original CITED framework for building pages AI search engines can cite correctly.

AEO services get pitched as everything from a $99/month dashboard to a $15,000/month retainer. Here is a four-rung framework for scoping the work, fair pricing by company stage, and six red flags to watch for.

A sourced comparison of Profound against Ahrefs Brand Radar, Otterly.ai, and the Semrush AI Toolkit, using the COVER framework to normalize cost, coverage, and refresh cadence before you buy.

A 30-day, four-week CAST framework for AI search optimization: confirming crawler access, rewriting for answer-first structure, building source density, and tracking citations by platform.

SEO and GEO don’t need separate teams or tools. The One-Brief System merges keyword research, briefs, and measurement into one workflow for B2B SaaS marketing teams.

A six-point VERIFY scorecard for vetting an AI search optimization or GEO agency before signing a retainer: citation evidence, engine coverage, reporting methodology, infrastructure, contract terms, and data ownership.

Generative engine optimization services get pitched as one bundled retainer, but they break into five separate lines of work. Here is a buy, build, or skip verdict for each, with real 2026 pricing.

Why API references and help docs underperform in Google even with great content, and the 5-layer framework (architecture, version, render, discovery, intent) for fixing it.