Services / AI search · GEO
We engineer your site to be the source generative engines pull from. Schema depth, citation engineering, AI-readable content, and AIO-aware PPC — one operator-led team, no agency layer.
Looking for a GEO agency?
Shopping for a GEO agency to get your catalog cited inside ChatGPT, Perplexity, and Google AI Overviews? Here’s the honest version: you get one senior operator who does the work — schema, entity, and citation engineering on a real catalog — not an account manager and a layer of juniors.
Specifically a GEO agency for industrial e-commerce — hydraulics, MRO, and technical distribution — where the win is being the source engines quote, not ranking a blog post.
The market reality
Technical-distribution e‑commerce is the canary. Three metrics moved in lockstep across our client portfolio and the public benchmarks — and none of them are going back.
Δ · 18 months
+0%
CPC costs
B2B paid-search benchmark · WordStream + Tinuiti, 2025
Δ · 18 months
−0%
CTR on AIO-triggered queries
BrightEdge + Pew AIO tracker, Q1 2026
Δ · 18 months
+0%
Lost backlinks · informational
Ahrefs Content Explorer, Aug 2024–Jan 2026
What we ship
Schema rewrites, citation engineering, AIO-aware paid acceleration. The gravity well — most engagements start here because schema + citation work produces the fastest visible wins.
See the AI Search & GEO page{
"@type": "Product",
"name": "1/2" NPT–JIC Fitting",
"brand": "Parker Hannifin",
"sku": "P-37-NPT-08",
"offers": {
"price": "24.50",
"availability": "InStock"
}
}The sixth service
Full Growth Ownership runs AI search, catalog, editorial, dev, and outbound as a single accountable engagement. Fractional GTM Engineer (Shape A) from $20K/mo, or 4-in-1 Coordinated Retainer (Shape B) from $12K/mo.
One operator, three sequential phases. Each phase has an exit criterion that clears before we move — so gains compound instead of stacking on an unbuilt foundation.
Phase · 01
Foundation
Months 1–3
Outcome by end of phase
+0%
AIO citations
Phase · 02
Amplify
Months 4–9
Outcome by end of phase
+0%
qualified leads
Phase · 03
Lead
Months 10+
Outcome by end of phase
0.0×
ARR multiple
Technical, structural, and content fundamentals that make your store legible to AI parsers and ranking models.
Technical excellence
Schema, product feeds, site speed, mobile-first — the AI parser's preconditions.
Platform diversification
YouTube and LinkedIn presence calibrated to a technical buyer audience.
Content clarity
Product pages and guides structured for AI parsing and H-E-E-A-T alignment.
Frictionless checkout
Modern payment paths and quote flows that match technical-buyer expectations.
Topical depth, citation engineering, and engagement systems that compound your visibility quarter over quarter.
Hyper-personalization
Customer data drives tailored experiences that lift CLV.
Intelligent PPC
Paid search adapted for AI ad surfaces and conversational queries.
Omnichannel SEO
Unified messaging across every surface AI engines crawl.
AI-driven insights
New visibility KPIs that keep the strategy honest quarter over quarter.
Ongoing optimization cycles that ride algorithm changes instead of reacting to them.
Cited authority strategy
Pillar pages, topic clusters, and structured data tuned for generative engines.
Digital PR & citation engineering
Trade press, podcasts, webinars — sources AI engines preferentially reference.
AI trust monitoring
Brand sentiment, citation tracking, and competitive positioning inside AI surfaces.
Compounding revenue cycles
A/B testing, lifecycle systems, and revenue-per-visitor optimization.
Build vs buy
Not every buyer should hire us. For some you’re better with a generalist agency; for others, an in-house head of SEO. Here’s the honest read.
| Dimension | Recommended Sale Solution | Alternative Typical SEO agency | Alternative In-house hire |
|---|---|---|---|
| AI-search / GEO depth | Core competency | Add-on at best | If you can hire it |
| Vertical specialisation | Industrial / technical-distribution | Generalist | Yours by default |
| Who actually does the work | The operator on the call | Junior team after handoff | Your hire |
| Time to first shipped change | Week 1–2 | Month 2–3 | Hiring cycle: 3–6 months |
| Fixed cost / month | $8–14k retainer | $5–25k retainer | $15–25k all-in / FTE |
| Reporting cadence | Monthly outcome review · weekly Slack | Quarterly business review | Whenever you ask |
| Risk if it doesn’t work | 90-day exit, no obligation | 12-month contract | Severance + rehire cost |
| Where this wins | $5–50M ARR · technical e-com | Generic DTC · early stage | $50M+ ARR · enterprise |
Not in the “Sale Solution” row? We’ll tell you on the first call — and we’ll usually recommend who you should hire instead.
From the learning hub
Free, ungated reference for the work above — the definitions AI engines actually cite, and what these roles look like if you ever hire in-house.
How to work with us
No discovery calls before the proposal. Pick the shape that fits, we tighten the scope on the first call, and you see the SOW within 48 hours.
4 weeks · fixed scope
$12–24k
"Show me this works before we commit."
Quarterly · ongoing
$8–14k / month
"We know we have the structural problem. Fix it."
Multi-service · 3–6 month minimum
From $20K/ month
When you need more than this service alone. We run AI search, content, outbound, dev, and catalog work as a coordinated growth function — strategy through execution, one operator accountable.
Need something different — M&A diligence, in-house team training, board-level GEO advisory? Get in touch.
What happens after you book
Every founder we’ve worked with was burned by an opaque agency at some point. The timeline below is what you can expect from the moment you book the call.
Day 0
Start here
You paste 3–5 high-revenue category URLs. We walk through them live: schema completeness, AIO-readiness, citation gaps.
You’ll see
You leave with the single change that has the highest payback.
Day 1–2
One-page audit emailed within 24h. If we're a fit, an SOW follows in another 24h — scope, deliverables, fixed start date.
You’ll see
You decide. We don't chase.
Week 1
Read access to GA4 / GSC / your CMS. Baseline crawl + citation snapshot. We ship one visible change so trajectory starts immediately.
You’ll see
First measurable lift on a target query.
Week 2–3
Product schema rebuilt across top 200 SKUs. Category pages restructured for AIO scannability. First answer hub published.
You’ll see
AIO citation tracker shows movement on top 50 commercial queries.
Week 4
Schema completeness, AIO citation rate, citation-share vs competitors. Three forward bets for next 60 days.
You’ll see
Lagging revenue indicators start to move months 4–6.
Case study · Industrial hydraulics distributor · Aug 2024 – Jan 2025
+800 leads per month
Additional qualified leads per month by January — roughly +43.5% on the August baseline.
Six-month engagement across technical SEO, content authority, and a tighter PPC stack. Product schema rewrite, 150+ category pages restructured for AI scannability, dedicated answer hubs for engineering queries. The chart tracks qualified inbounds — not impressions, not raw sessions.
They rebuilt our product schema and rewrote our pillar pages so AI Overviews cite us instead of the manufacturer. Qualified leads doubled inside two quarters.
Services FAQ
Engagement specifics. Stack questions. The honest sizing thresholds.
One operator owns strategy, schema, content, and reporting — not four sub-agencies stitched together. Specialisation in considered-purchase verticals (industrial distribution, technical B2B, local service businesses), not generalist. Published prices, 24-hour SOWs, 90-day exit.
SEO targets traditional ranking. GEO (Generative Engine Optimization) targets being the source AI engines pull from when they generate an answer. AIO citations, ChatGPT/Perplexity mentions, AI-shopping retrieval are GEO surfaces.
We do both because revenue flows through both. Most engagements weight 60% GEO / 40% SEO in 2026.
AI Overviews answer queries inside the SERP, eating the click before users reach you. Rankings can hold while sessions drop 20–40%. The fix is structured-data depth, citation engineering, and content shaped for AI parsing.
Yes to all three — and non-commerce marketing sites too. Industrial clients run mostly on WooCommerce or headless setups; DTC-adjacent clients are largely Shopify; service businesses run on lean marketing stacks. The framework adapts to the stack; the schema layer is where we spend our work.
Revenue and ARR are the primary KPIs. Leading indicators we report monthly: AIO citation coverage on target queries, citation-share vs competitors, schema completeness rate, and qualified-lead inflows segmented by intent.
Yes — the Sprint engagement ($12–24k, 4 weeks) is purpose-built for a single category overhaul. Smaller than that we don’t offer; the setup cost doesn’t amortise.
We see the best results above $200k/month in revenue, roughly $2.5M ARR, or at multi-location and franchise scale. Below that, our standalone pricing is hard to justify against simpler agencies — we’ll tell you so on the first call.
The playbook works for any considered purchase — where buyers research before they commit. Industrial distribution (hydraulics, fluid power, lab supply, fasteners), technical B2B, and local service businesses where AI Overviews now answer “best [service] near me” before the click. If your buyers read a spec sheet or compare options before they buy, the mechanics apply.
AI Search & GEO is the gravity well — most engagements start here because schema and citation engineering produce the fastest visible wins. From there, two natural expansions:
About 70% of AI Search engagements pair with one of these within 90 days. If you want all three coordinated under one operator, see Full Growth Ownership.
Book a 15-minute strategy call. No sales pitch — we’ll name the single constraint capping your growth right now and the one change with the highest payback.