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XpandShow Me What To Fix First
AI-native operator stack
Outrigger
The separate platform Joel co-founded with Andrew for tracking visibility across major AI engines.
PressForge
A digital-PR workflow platform in final beta. It may help organise research, pitching, and follow-up when that work is included in scope. Coverage remains an editorial decision.
AI for Revenue (book)
Joel's Barnes & Noble-published methodology for AI in revenue operations. It is public author context, not a promise that an AI system will cite or recommend Xpand.
The point
The advantage is not owning every tool. It is joining measurement, authority, and senior operator judgment.
AI SEO Agency

AI SEO is only useful
when it moves revenue.

AI-native SEO across research, content, technical audits, and AI-engine visibility tracking: without the AI tells that get content penalised. Founded by Joel House, author of AI for Revenue.

Book a Strategy CallOr See the GEO Methodology
15+ years · 300+ businesses · 40+ industries
Sound familiar?

You've paid for ai seo before. You got a PDF.

“Their agency celebrated a ranking. The ranking was their own brand name.”
“You found out the 'local SEO' was the same template they sold in forty other cities.”
“Their case studies were all from other industries, other cities, other decades.”

It wasn't you: it was a model that bills the same whether you grow or not. Here's the version with the incentives pointed the right way.

The other door

Never hired an SEO agency before?

Then you haven't been burned yet: let's keep it that way. Three things that separate a real operator from a pitch deck:

01
The scope, responsibilities, and exclusions are written down before work starts.
02
Reporting separates evidence from inference and ties activity to an agreed commercial signal.
03
You can see what changed, what did not, and what decision follows.
Show Me What To Fix First Or read about Joel and the books
What an AI-native operator actually produces
15+
years working across search and digital growth
300+
businesses served across the portfolio
40+
industries represented in that experience
2
published books by founder Joel House
Definition

What is an AI SEO agency?

An AI SEO agency uses artificial intelligence across the entire SEO 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 AI does better than humans: pattern recognition at scale, query expansion, SERP analysis, structural drafting, schema generation. The bad ones use AI to mass-produce thin content and get the entire site penalised by Google's helpful-content systems. The difference is operational, not technological.

We sit in the first camp. AI handles the leverage. Humans handle voice, strategy, and judgement. Our editorial pass strips every AI tell, em-dash patterns, symmetric three- bullet lists, "in today's digital landscape" openers, that flag content as machine-generated. The output reads like a senior practitioner wrote it because a senior practitioner edited it.

How to spot the real thing

Most "AI SEO agencies" are doing one of two things.
We're the third.

Pattern A

Traditional SEO

“We don't use AI”

  • Manual keyword research that takes 3 days
  • Content briefs without competitive synthesis
  • Slow technical audits, missed at-scale issues
  • Zero AI-engine visibility tracking
  • Falling behind on volume and speed
Pattern B

AI Washing

“AI-powered everything”

  • Bulk AI content with no editorial pass
  • First-pass LLM output published as articles
  • Claims published without attributable evidence
  • No clear editorial owner or quality-control record
  • Software presented as an outcome instead of a workflow
Pattern C. Xpand Digital

AI-Native SEO

AI does the leverage. Humans do the judgement.

  • AI-assisted keyword and results-page analysis, reviewed by humans
  • Structural drafts via AI, edited by humans for voice
  • Outrigger can record dated AI-engine visibility samples
  • PressForge may organise digital-PR workflow when it is in scope
  • Owned, joint-venture, and third-party tools named accurately
Where AI plugs into our workflow

Five places AI does the work.
Three places humans still own it.

01

Keyword research and SERP analysis

AI expands seed keywords across intent, language, and SERP variants in minutes: work that used to take a senior strategist three days. We pair it with Google Ads Keyword Planner volume data and competitor SERP mapping to identify the actual opportunity, not the keyword volume mirage.

02

Competitive synthesis

AI ingests the top-10 ranking pages for any target query, extracts the patterns (depth, format, schema, internal-link density, named-entity coverage), and surfaces what's actually working. We brief content based on what's winning, not on what we assume.

03

Technical SEO audits at scale

AI can help group crawl findings such as orphan pages, schema gaps, and internal-link bottlenecks. A human reviews the evidence, impact, and implementation priority before anything is presented as a recommendation.

04

Structural content drafts

AI produces structural drafts: outline, fact aggregation, schema scaffolding, FAQ candidates. A human editor, usually Joel, rewrites the draft in founder voice with concrete examples, opinions, and specific detail AI can't fabricate. We never publish first-pass AI output.

05

AI-engine visibility tracking

When Outrigger is included, it can record dated observations for an agreed set of buyer questions across supported systems. The scope defines the systems, prompts, comparisons, and cadence. The observations inform priorities without implying control over model outputs.

What humans still own
Strategy
Where to compete, in what order, against which competitors. AI helps with the data; the call is human.
Voice
Founder tone, brand POV, opinions worth disagreeing with. AI flattens voice; we restore it on every line.
Judgement
When to pivot, when to hold, when to kill a tactic. AI runs experiments. Humans interpret what they meant.
The operating evidence

What the engagement is built to inspect and improve.

B2B SaaS
01
technical and entity baseline

Indexation, internal linking, structured data and retrieval-ready content are audited before the production cadence scales.

Service business
02
qualified-demand workflow

Search visibility, site-side capture and existing-database follow-up are measured as connected parts of the same buyer journey.

Local commerce
03
local trust signals

Local search, reviews and AI-answer visibility are assessed against the queries and locations that matter to the business.

Authority asset
Forbes
Agency Council contributor + two B&N books

Joel publishes the methodology. The methodology is the marketing. The marketing is the authority signal LLMs index.

Related

Go deeper on the methodology.

GEO Pillar

Generative engine optimization explained

How we optimize for citation inside AI answers across all major engines. The category overview, the four-layer methodology.

Read more
ChatGPT SEO

Tactical ChatGPT optimization

Engine-specific playbook: how ChatGPT picks sources, why Bing SEO suddenly matters, the five extractable content patterns.

Read more
Foundational SEO

Traditional SEO services

The foundational SEO work that underpins everything: technical health, content, authority and measurement tied to qualified demand.

Read more
Common questions

What buyers actually ask before they hire an AI SEO agency.

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. Outrigger (the separate platform Joel co-founded with Andrew) 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 use Outrigger, the separate AI-visibility platform Joel co-founded with Andrew, and may use PressForge to organize digital-PR research, pitching, and follow-up. Second, Joel wrote AI for Revenue and The Growth Architecture; the books are the methodology, not marketing collateral. Third, we don't separate SEO and GEO into disconnected 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 Outrigger 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 Outrigger, 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.

Implementation milestones can be scheduled once the technical baseline is known. Visibility and commercial outcomes cannot be assigned a universal 30-day or 12-month promise because the starting authority, crawl condition, query set and competitive density vary. We benchmark the category at the start, define leading and commercial indicators, then publish the evidence-dependent timeline in the engagement plan.

Hire the operator, not the pitch deck

Most AI SEO agencies are reading our book.
Hire the people who wrote it.

30-minute strategy call with Joel. We'll baseline your current AI visibility, map the three highest-leverage moves for your category, and tell you honestly whether we're the right operator for the engagement. No deck. No "we'll get back to you with a proposal."

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