Most agencies say "AI-powered."
We built our own SaaS for it.

An AI SEO agency is an SEO operator that uses artificial intelligence across the workflow — research, content production, technical audits, link prospecting, and AI-engine visibility tracking — rather than treating AI as a single bolt-on tool. The good ones use AI to do work that AI does better than humans (pattern recognition, scale, query expansion) while keeping humans on the work AI does badly (strategy, judgement, voice, brand differentiation). The bad ones use AI to mass-produce thin content and get the entire site penalised. The difference is operational, not technological.

We never publish first-pass AI output. AI drafts the structural skeleton — research synthesis, outline, fact aggregation, schema scaffolding — and a human editor (often Joel personally) rewrites it in the founder voice with concrete examples, opinions, and the kind of specific detail AI can't fabricate. Google's helpful-content systems penalise the patterns of unedited LLM output (em-dashes everywhere, 'in today's digital landscape', symmetric three-bullet lists, no specific numbers). Our editorial pass strips all of those. The output reads like a senior practitioner wrote it because a senior practitioner did.

Five places. (1) Keyword research — AI expands seed keywords across intent, language, and SERP variants in minutes instead of days. (2) SERP and competitor analysis — AI extracts patterns from the top-10 ranking pages for any query, surfacing what's actually working. (3) Technical audits — AI processes Screaming Frog crawl data and flags issues at scale. (4) Content drafting — AI produces structural drafts that humans rewrite in voice. (5) AI-engine visibility — Mention Layer (our own SaaS) tracks how AI engines mention your brand. AI does not write final copy, decide strategy, or make brand voice calls.

It will replace bad SEO agencies. The agencies disappearing in 2026 are the ones whose value proposition was 'we know how to use SEMrush and post on Medium.' AI does that work in seconds now. The agencies thriving are the ones with proprietary methodology, original-data assets, brand-level positioning, and an integrated stack (research + content + technical + GEO + measurement) that compounds over years. AI is the leverage. The leverage doesn't replace the operator; it replaces the operator who was just running tools.

Three things. First, we built our own AI tooling: Mention Layer for AI-engine visibility tracking and PressForge for digital-PR automation. Most agencies use someone else's tools and resell them; we built ours and run them across our own client base. Second, our founder Joel House wrote AI for Revenue (Barnes & Noble) and The Growth Architecture — the books are the methodology, not marketing collateral. Third, we don't separate 'SEO' and 'GEO' work into different teams or upsells. The same operator who ranks your blue links also engineers your AI citations because the disciplines are converging.

A composite scorecard: traditional SEO KPIs (organic traffic, keyword positions, conversions from organic) plus AI visibility KPIs (citation count and citation share across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overview). The traditional metrics live in GSC and GA4. The AI metrics live in Mention Layer and we report on both weekly. Most agencies track only the traditional metrics, which means they're missing roughly a third of the buyer journey now happening inside AI engines. We report the full picture.

Engagements are scoped against the work, not productised tiers. A typical engagement includes: ongoing on-site SEO + GEO retrofit, monthly content production, monthly technical audits, weekly AI visibility reports via Mention Layer, and a quarterly strategic review. Pricing reflects the size of the keyword footprint, the competitive density of the category, and the rate of content production needed. We don't publish flat tiers because the work isn't flat. We do publish ranges on request after a discovery call.

First measurable wins land in 30-60 days: structural site improvements (schema, llms.txt, FAQ markup) lift Bing rankings (which lifts ChatGPT visibility) and Google AI Overview citations quickly. The compounding wins land in 6-12 months: organic traffic from improved Google rankings + branded search lift from AI mentions + assisted conversions from buyers who heard your name in an AI answer before they converted via another channel. We benchmark expected timelines against your category density at the start of every engagement.