//.what_we_deliver
GEO isn’t one deliverable. It’s what happens when the whole machine runs.The engine behind being recommended.
Being the firm AI recommends is the outcome. These are the moving parts that produce it — four groups of work, run as one system.
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Splitting SEO and AI search is the expensive mistake
The biggest single lever isn’t a tactic. It’s an organisational design choice — and it’s why Avouch runs SEO and AI search as one engine, not two teams handing off a brief.
Source: Semrush AI Visibility Index 2026 — survey of 481 marketers on AI search behaviour.
Four layers stand between you and the recommendation
Every engagement moves a firm up the same climb. Skip a layer and the ones above it don’t hold — so we read where you sit on each, then work them in order.
Discoverability
Can AI systems find and retrieve your content at all?
Owner · SEO & contentClarity
Does AI understand your brand correctly, consistently, across the digital map?
Owner · consistencyAuthority
Does your brand appear qualified to do the work?
Owner · proof & citationsTrust
Will AI confidently recommend or act on your brand?
The recommendationThree layers explain why. Four groups are the how.
The methodology names the three layers an engine moves through before it recommends you — Understandability, Credibility, Deliverability. This page is the work that builds them: four groups of delivery, run as one engine.
See the three layers →Intelligence
Before we build anything, we learn what your buyers ask AI, who it recommends instead of you, and where the engines get their answers in your sector — not our guesses about it, measured.
Voice-of-customer harvest
We gather how your clients actually talk, so every page works from real buyer language — not our guesses about it. Feeds our proprietary voice corpus, not a generic keyword list.
ICP & buyer-question mapping
The questions your buyers put to the engines, mapped by persona. That's the demand we set out to own.
Competitor & share-of-voice intel
Who the engines recommend instead of you, across all seven — and what those firms have in the sources that you don't.
Citation-gap analysis
The sources engines cite in your sector that never mention you. The Recommendation Index measures all of it as your baseline.
The harvest behind every audit
Run on the Citation Intelligence Platform — Avouch’s own proprietary store, not a reseller’s dashboard. Every number above is traceable back to the exact answer it came from.
Foundations
An engine can't recommend a firm it can't pin down. We make you unmistakable to it — one clear identity, marked up in the format machines read.
Your Entity Home
One canonical page becomes the single source of truth about your firm — the page every other mention points back to.
Knowledge graph & schema
We work you into the entity records engines draw on, and mark up your pages in the format machines read — schema that only ever confirms what's on the page.
Technical retrievability
Crawlable, fast and cleanly structured, so the engines can actually read your pages and lift a clean answer.
Content & citations
AI answers in passages, not links. We write the passages it lifts, and earn the off-site mentions that make it trust the source.
Citable Answer Pages (CAPs)
Around a dozen a month — passage-level, compliance-checked and signed off before publish, each the cleanest answer to a real buyer question, front-loaded so an engine can lift it whole.
Off-site citation architecture
The sources engines actually cite — Reddit, YouTube, Wikipedia, directories, reviews, trade press — worked in priority order, mentions before backlinks.
The SEO foundation
The search groundwork underneath GEO. Engines still read it; GEO is its evolution, not its replacement.
Automation & compounding
The work that wins recommendation is repeatable. We automate it, track it, and turn every month of it into an asset only you hold.
AI workflows at scale
Automations that run the repeatable GEO and SEO work — harvesting questions, building entities, feeding your data — so the engine keeps producing without burning your team.
Share-of-voice tracking
Your visibility across the engines, tracked every month, so you can watch the one number move: how often you're the answer.
The data moat
Your own citation and content record, in your own database. The first-party asset that compounds every month and competitors can't copy.
One outcome, many ways in
These services aren’t a pick-and-mix. They’re one engine, pointed at a single result: being the firm AI recommends. Whatever the mix in a given month, that’s the only scoreboard — search and AI-visibility run as one system, not a grab-bag of tactics.
Built for regulated, high-trust firms — finance, law and health — where AI won’t recommend you unless you’re demonstrably trustworthy, and every word has to clear the rules.
The disciplines, one by one
The four groups above are how the engine runs. Here’s each discipline inside it — not a menu to buy from; the retainer runs whichever the month needs, and they compound.
AI Visibility & GEO
Be the firm AI names when a buyer asks who to trust.
Entity & Knowledge Foundations
Make the engines certain who you are — one firm, one set of facts.
Citable Content Engine
Write the passages an engine lifts whole — and cites.
Citation & Digital PR Architecture
Earn the off-site mentions the engines actually trust.
Technical SEO Foundation
Make every page fast, crawlable and cleanly read by machines.
AI Workflows & Measurement
Automate the repeatable work, track the one number, own the data.
Where it starts
Every engagement opens with the Recommendation Index — your baseline across seven engines and the plan for the work above. From there, one flexible retainer runs the engine, sized to your firm.
AI can't recommend what it doesn't know.
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