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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.
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.
Reality 01
“First-page rankings” still matters, but it matters less than it did two years ago, and the trajectory is one-way. Clients who haven’t noticed will. Clients who have noticed are already asking what the AEO/GEO answer looks like.
Reality 02
Ahrefs, SEMrush, Moz, Surfer — they’re catching up, but they’re catching up. Agencies who can’t wait are stitching together LLMs and content extraction in ways that work but don’t scale.
Reality 03
Schema for AI extraction, content structured for LLM citation, Speakable markup, FAQ density, semantic chunking for retrieval — most teams haven’t trained on the new layer yet. The agencies that win the next three years operationalize the new skill set first.
Reality 04
53% of digital agencies view AI as a threat to their business model; only 14% describe their pipeline as “very healthy.” The pressure to ship something AI-flavoured is enormous. Most of what’s shipping is theatre.
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.
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
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
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
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
Multi-tenant SaaS or productized client tools — an AEO readiness checker, a schema generator, a citation tracker for AI engines, a competitive AEO/GEO monitor. Built once for your agency, deployed across your client base, with the IP transferred to you.
Most SEO tools are 18+ months behind on AEO/GEO. There’s a real product opportunity for agencies who move first. Even a narrow productized tool sold across 20 clients at $50–200/month produces $12K–$48K in ARR — defensible because the build is portable and the agency owns it.
See AI Products & MVPs for the full pattern.
05 / Entry point
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.
Live builds that translate directly to SEO-agency use cases:
Case 01 · Audit agent pattern
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
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
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.
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.
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.
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.
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.
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.
Three situations where we’d recommend against the partnership:
01 · No 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
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
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.
Search Engine Optimization (SEO) optimises for ranking in traditional SERPs. Answer Engine Optimization (AEO) optimises for being cited or summarized by AI engines (ChatGPT Search, Perplexity, Claude, Gemini, Google AI Overviews). Different signals: AEO weighs structured answer blocks, FAQ density, schema completeness, citation-readiness, semantic clarity, and freshness much more heavily than traditional ranking factors. The two overlap, but they’re not the same. Tooling built for SEO catches the overlap but misses the AEO-specific signals.
Generative Engine Optimization (GEO) is the broader term covering visibility in generative AI outputs — both inline citation by AI search engines (which AEO focuses on) and inclusion in AI-generated summaries, recommendations, and direct answers across all generative interfaces. AEO is a subset of GEO. Different practitioners use the terms differently; we use AEO when talking about specific answer-engine optimization (chatbots and AI search) and GEO when talking about the broader category. Both matter.
Not entirely, but partially and unevenly. AI Overviews are showing up most aggressively on informational queries where the user wants a quick answer — comparison queries, definition queries, “how to” queries below a certain complexity threshold. Transactional queries (where the user wants to buy something specific) are less affected so far. The honest answer: traditional SEO traffic for informational content is declining and will continue declining. SEO for transactional content remains valuable. The right strategy for most clients is to defend transactional traffic, accept the informational decline, and rebuild informational visibility through AEO.
Yes for all common ones — WordPress, Webflow, HubSpot CMS, Sanity, Contentful, Strapi, Drupal, custom Next.js content systems. The agent reads content via API, sitemap, or direct CMS integration depending on the source. Output is structured data (Google Sheets, Notion, your client’s reporting layer) that your team uses to plan remediation. If your client uses something unusual, we’d discuss in the scoping call.
This is the most common SEO-agency conversation question right now. The framing that works: “AI search engines like ChatGPT, Claude, and Google AI Overviews now drive measurable traffic and influence buying decisions. The optimization patterns are different from traditional SEO — they prioritize content structured for answer extraction, schema completeness, and citation-readiness. We’ve added an AEO service line to address this shift. Here’s an audit of where your content currently stands against AI search visibility…” Most clients accept this framing because they’ve personally experienced AI search and recognize the shift. The ones who don’t accept it are the ones who haven’t experienced it yet — usually a 30-day delay before they ask.
Yes — that’s the productized-build pattern. A multi-tenant AEO audit tool built once can be sold across all your clients at a subscription price ($50–200/month per client). The unit economics shift dramatically once 10+ clients are on the same productized tool. See AI Products & MVPs for the full pattern.
Realistic timeline from contracting to first client-facing AEO service in production: 6–10 weeks. Discovery in month one, first build in month two, first client-facing rollout in month three. SEO agencies that arrive with a specific audit framework in mind can move faster — about 1 in 4 engagements ships a working agent in month one. Agencies that want to validate internally first (Path 3) take longer to reach client revenue but lower their initial risk.
Yes. Most builds in this category — particularly the AEO/GEO tools — are updated quarterly as AI engine behaviour shifts. Schema specifications update, citation patterns shift, new AI engines launch, existing ones change their ranking logic. The monthly engagement includes ongoing capacity for these updates. Standalone project-based builds get a 30-day post-launch maintenance window; beyond that, updates require a re-engagement.
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.
Book a 30-minute scoping callA sense of which AEO/GEO services likely fit your agency first.
Rough scope and timeline for the first build.
An honest read on the AEO/GEO landscape for your specific client mix.
