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AI for SEO, AEO & GEO agencies.

We’re the build partner for SEO agencies adapting to AEO and GEO disruption. Custom content audit agents, schema automation, AI-assisted content production, and productized AEO tools — shipped under your agency’s brand. Most SEO-agency partners start with a content audit agent or an AEO readiness tool, the two highest-leverage entry points for this segment. $1,500/month, including Discovery and ongoing build capacity.

Built for

SEO · AEO

· GEO agencies
Time to first revenue

60–120 days

White-label default

100%

Integration patterns

$1,500 / Month

The shift is one-way

Why this segment is in the most existential position right now.

SEO is being restructured under the agency’s feet, faster than most clients understand.

Google’s AI Overviews now appear on a meaningful share of informational queries — typical estimates put it between 18–47% depending on the niche and the month. ChatGPT Search, Perplexity, Claude, and Gemini now drive real and measurable traffic to publishers, with different ranking signals, different content preferences, and different citation behaviour. The traditional SERP — the thing every SEO playbook of the last 20 years was built around — is no longer the only thing the user sees, and increasingly it’s not the first thing.

The honest reality for an SEO agency owner this year:

Option 01

Buy a SaaS platform

Resell platform features as your AI offer (Vendasta, GoHighLevel). Immediate line items but your differentiation collapses into your competitors’ differentiation — every agency in the platform sells the same thing.

Option 02

Hire an AI engineer

$180–250K loaded. Competitive market. Won’t produce client revenue for 6–9 months. Most agencies under $5M revenue can’t make this math work.

Option 03

Announce without capacity

Wins a few RFPs in the short term. Catches up with the agency the first time a client asks for an implementation timeline you can’t meet.

Option 03

Announce without capacity

Wins a few RFPs in the short term. Catches up with the agency the first time a client asks for an implementation timeline you can’t meet.

There’s a path through this that isn’t “panic” and isn’t “do nothing.” Build the AEO/GEO capabilities your clients need, ship them under your agency’s brand, sell them as a new line item against your existing accounts.

The five entry points

What we ship for SEO agencies?

Five AI build patterns that fit SEO-agency operations specifically. Each one is a service line you can sell to clients, or an internal tool that recovers margin from your delivery:

01 / Entry point

Content audit agents (AEO/GEO).

The lowest-risk entry for the segment

Scope-bounded agents that read your client’s content library, evaluate it against AEO/GEO best practices, and produce structured findings — never auto-publish, never rewrite, never overstep. Findings include: which pages have answer-block structure suitable for AI extraction, which lack adequate FAQ schema, which are missing Speakable markup, which have stale stats that AI engines flag as low-quality, which compete poorly against current SERP and AI Overview results.

Clients have hundreds of pages. Manual auditing is impractical. The agent generates a prioritised, actionable list within hours of being pointed at the content. Your team reviews and acts. Most agencies sell this as a $1,000–$3,000 one-time AEO audit, then convert into an ongoing AEO retainer for implementation.

See AI Agents & Workflows for the underlying pattern.

02 / Entry point

Schema markup automation.

Table-stakes for AI visibility

Automated generation and ongoing maintenance of structured data — Organization, WebPage, Service, FAQPage, HowTo, SpeakableSpecification, BreadcrumbList, Article, Product. Built into your client’s CMS or operating as a separate layer that monitors content changes and updates schema accordingly.

Schema is now table-stakes for AEO/GEO visibility. Most CMSes ship with weak default schema. Automation eliminates the per-page manual effort and the drift that builds up after content edits. Common entry: schema audit + remediation as a one-time engagement, then ongoing monitoring as a retainer add-on.

See Automations for the architecture.

03 / Entry point

AI-assisted content production at scale.

Not AI-written — AI-produced, human-edited

Production methodology for shipping AEO-optimized content faster than traditional content workflows allow. AI absorbs first-draft work, structure proposals, and schema generation. Humans own brand voice, editorial judgement, and final approval. The output is content structured for AI extraction (answer blocks, FAQ density, citation-ready paragraphs) at the volume your clients actually need.

Content remains the core SEO/AEO deliverable. AI-assisted production lets your team ship 3–5× the content volume at the same quality bar. The output isn’t AI-written content (which is increasingly penalized); it’s AI-produced-then-human-edited content, which is the only sustainable model.

See AI-Assisted Deliveries for the production pattern.

04 / Entry point

AI-assisted content production at scale.

Not AI-written — AI-produced, human-edited

Production methodology for shipping AEO-optimized content faster than traditional content workflows allow. AI absorbs first-draft work, structure proposals, and schema generation. Humans own brand voice, editorial judgement, and final approval. The output is content structured for AI extraction (answer blocks, FAQ density, citation-ready paragraphs) at the volume your clients actually need.

Content remains the core SEO/AEO deliverable. AI-assisted production lets your team ship 3–5× the content volume at the same quality bar. The output isn’t AI-written content (which is increasingly penalized); it’s AI-produced-then-human-edited content, which is the only sustainable model.

See AI-Assisted Deliveries for the production pattern.

05 / Entry point

AI search visibility monitoring.

Margin recovery on existing retainers

Internal tooling that tracks how your clients’ content shows up across AI engines (ChatGPT, Perplexity, Claude, Gemini) and AI Overviews. Reports on citation frequency, answer quality, and competitive position. Surfaces drift when AI engines stop citing previously well-ranking content.

Manual checking of AI citations across 20+ client accounts is impractical. Automation makes the work feasible at scale and converts AI search visibility into a reportable metric your agency can sell against existing SEO retainers.

See AI Agents & Workflows for the underlying capability.

Pattern-matched cases

Case studies relevant to SEO-agency partners.

Live builds that translate directly to SEO-agency use cases:

Case 01 · Audit agent pattern

AI Training Audit Agent

Scope-bounded agent that watches a Drive folder, reads each new training deck, cross-checks every claim against current sources, and produces structured findings — slide-by-slide, with source links. Never redesigns, never auto-publishes. The discipline of “capability without overstep” maps directly onto content audit for SEO clients.

Case 02 · Content corpus indexing

Public AI Chatbot indexing 250+ podcast episodes

Multi-format content ingestion (podcast transcripts, blog archive, free assets, YouTube), recency filtering that ranks current sources higher for fast-moving topics, citation links on every answer. The same content-corpus indexing pattern is what AEO/GEO tooling needs to compete in AI search.

Case 03 · Productization

$30K-build-cost-avoided cost calculator plugin

Custom WordPress plugin with 22-parameter conditional logic, admin UI for rate management, full CRM integration — shipped in under 2 weeks. The same productization pattern enables an SEO agency to ship a productized AEO audit tool, schema generator, or citation tracker against the same timeline and budget.

Invisible by default

How the white-label arrangement works for SEO agencies.

Your client sees only your agency. We are not in your content audit reports, your client communications, your delivery emails, or any system your client logs into. Audits ship under your brand. Schema deployments carry your agency’s footprint. Tools you resell as productized offerings have your brand on the marketing site, your billing entity in the checkout, your support email in the docs.

The work shows up under your strategist, runs through your editorial team, and ships under your brand. If your client asks who built the tool or ran the audit, the answer is your agency.

We’ve signed NDAs across 100% of active engagements. Confidentiality is the default posture.

Three common entry paths

How SEO agencies typically start with us.

Path 01 · Most common

Content audit agent as the first build.

Month one is Discovery, scoping the agent against your client base. The agent ships in month two and starts producing audits for your existing client roster — usually as the foundation of an “AEO/GEO upgrade” engagement you sell to each client. Lowest-risk entry; the agent has clear immediate value and a clean conversion path to client billings.

~ 55% of SEO-partner engagements

Path 02 · Faster

Productized AEO tool as the first build.

For agencies with a clear product idea already — usually a tool that captures the specific niche AEO/GEO need your team has identified. Either the monthly engagement (with productization built into the roadmap) or the project-based MVP Build starting at $3,000.

~ 20% of SEO-partner engagements

Path 03 · Lower-risk

Internal AI search visibility tooling first.

For agencies that want to validate the partnership on internal builds (AI citation tracking, AEO competitive monitoring) before rolling out client-facing tools. Lower-risk validation, slower client-billing impact.

~ 25% of SEO-partner engagements

Standard engagement

Pricing.

Standard engagement: $1,500/month, including Discovery (month one), build capacity, deployment under your brand, source code handoff, and monthly strategy reviews.

For SEO agencies with a clear productized tool in mind, the project-based MVP Build path starts at $3,000 — quoted after scoping. Most SEO-agency partners on the monthly engagement continue iterating their AEO/GEO tooling for 6–12 months after MVP launch as the AI search landscape evolves.

A typical month-one for an SEO-agency partner: Discovery in weeks 1–2, content audit agent or schema automation scoped in week 3, first build in production by end of month two. About 1 in 4 engagements ships a working agent or automation in month one when scope is clear early.

Standard engagement

When we’re not the right fit for your SEO agency.

Three situations where we’d recommend against the partnership:

01 · No retainer base

You’re an SEO-only agency without an existing client retainer base.

AEO/GEO services work best as upgrades to existing client relationships. If your agency is project-based with limited recurring revenue, the AI service line will need a new sales motion that takes 6–12 months to develop. We’d recommend stabilising the retainer model first, then layering AI services on top.

02 · Wrong shape

You want a SaaS platform you can configure, not custom builds.

If your need is “an AEO tool I can subscribe to and use across clients,” look at the SEO platforms catching up to AEO/GEO (Ahrefs, SEMrush, Surfer, Frase). We build custom — the right answer when you want differentiation, IP ownership, and resale economics. Not the right answer when platform-led is sufficient.

03 · Volume-only content

You’re shopping for AI-generated content at volume.

AI-written content not paired with editorial judgement is increasingly penalised by both search and AI engines. We don’t ship AI-only content workflows because they damage your clients’ search visibility over time. If your operational need is “write 100 articles a month with no editorial overhead,” we’re not the partner — and we’d argue you shouldn’t run that play at all.

FAQ · For SEO agencies

Questions worth answering.

What is AI integration for a digital agency?

AI integration for a digital agency is the embedding of AI workflows, automations, and agents inside the agency’s existing marketing, sales, and operations stack. Done well, it eliminates repetitive execution, multiplies output, and recovers margin lost to manual coordination — without replacing the tools the team already uses.

Most agencies see their first production AI workflow live within 2 to 4 weeks. The 1-week audit identifies the highest-ROI opportunity; the build and integration typically takes another 1 to 3 weeks depending on workflow scope and existing tool stack. More sophisticated workflows layer in progressively over the following months.

No. We handle every technical layer — integration, testing, training, and ongoing optimization. Your team only needs to understand its current workflows. The AI integrations are designed to feel native inside the tools your staff already uses, with no new platform to learn.

We are tech-stack agnostic. We integrate AI into HubSpot, ClickUp, Monday, Google Workspace, Slack, Notion, Airtable, custom CRMs, and bespoke internal tools. We do not require a rip-and-replace migration, and we do not push our own SaaS platform.

Standard engagement

Ready to ship a real AEO/GEO service line?

A 30-minute scoping call to look at your client base, your current SEO retainer model, and where AEO/GEO services fit. We’ll be honest about what’s worth building first.

Which services fit?

A sense of which AEO/GEO services likely fit your agency first.

First-build scope

Rough scope and timeline for the first build.

Landscape read

An honest read on the AEO/GEO landscape for your specific client mix.