Digital marketing · AI automation
Two halves of the same problem.
We build both.
Getting found has split in two — a ranked page and a generated answer — and winning either is worth less if you cannot prove what it did. Meanwhile the work behind the sale still runs on people doing it by hand. SearchSynth is the engineering team for both: a digital marketing practice and an AI automation practice, under one roof, priced separately.
one question, two paths, one brand that has to win both
- Of Google searches now end without a click
- 68%Of Google searches now end without a click
- Services across two practices
- 8Services across two practices
- Days to first measurable movement
- 60–90Days to first measurable movement
Answers sampled weekly across
Two failures, running at once.
Demand is being intercepted before it reaches you, and the AI meant to offset that keeps stalling in pilot. Most reporting is built to notice neither.
AI answers took the top of the page
An AI Overview resolves the query before the first organic result is on screen. You keep the ranking and lose the click.
Research starts in a chat window
High-intent B2B research now begins in ChatGPT, Claude or Perplexity. If the model doesn't name you during the shortlist, you never enter the deal.
Volume content stopped working
Mass-produced pages get filtered by spam policy and ignored by models. Original data and clean structure are what still get cited.
The pilot never reached production
Gartner expects most organisations to abandon a majority of AI projects through 2026 — almost always because the data underneath was never ready, not because the model was wrong.
Licences went out, nothing changed
Seats were bought and a memo was sent. Without an owner, a standard and role-specific training, adoption stays private and the productivity case never materialises.
Nobody can say what AI you run
Vendor features switched on, tools expensed, data pasted into consumer chatbots. The first person to ask for the list is usually an enterprise buyer or a regulator.
Most of what looks like an AI problem is a data problem, an adoption problem, or a problem with what the web already says about you.
The working assumption behind all eight services
Start on the side your problem is actually on.
Most people arrive with a symptom rather than a service. These are the two halves of what we do, and the questions that usually mean you are on that side.
Digital Marketing
Usually marketing leadershipSearch split in two — a ranked page and a generated answer — and you have to win both, then prove what the traffic actually did.
You are probably here if
- Rankings hold but the clicks are gone
- A competitor gets named in every AI answer
- Content publishes and nothing happens
- Nobody trusts the attribution numbers
Get found, get chosen, and prove which half of the spend worked.
Explore Digital MarketingAI Automation
Usually operations or the exec teamAgents, the data foundations that let them survive production, and the adoption and governance that keep them running.
You are probably here if
- A team is drowning in manual, repetitive work
- The AI pilot never reached production
- Licences went out and nothing changed
- Nobody can say what AI the business runs
Ship agents that survive production, on data you can trust.
Explore AI AutomationSix services, one engineering team
Bought separately, priced separately, and sequenced so each one makes the next cheaper. Most clients start with a single audit.
Get found
Win the ranked page and the generated answer.
Get chosen, and prove it
The content that earns the decision, and the measurement that shows it did.
Build the systems
Agents and the data foundations that make them work.
Adopt & govern
Get the org using it, and keep it defensible.
The constraint changes by sector. The engineering doesn't.
A clinic is bound by PHI, a law firm by privilege, a manufacturer by an air-gapped network, a field operator by a phone that rings at 2am. Each page says where we'd start — and what we'd refuse to build.
How we run every engagement
The same four steps whether the work is a voice agent or a schema rollout. Each stage produces something you can hold, so you can stop after any of them.
- 01
Audit
Crawl and log analysis, an AI citation baseline across every engine, and a timed map of the manual work eating your team's week.
Ranked backlog with effort and impact
- 02
Strategy
We decide where the leverage is — classic capture, generative influence, or removing the work altogether — and what we're deliberately not doing.
Costed roadmap and success criteria
- 03
Build
Implementation in your repositories: schema graphs, page systems, agents and pipelines, shipped as reviewable pull requests.
Working systems in production
- 04
Compound
Weekly citation sampling, crawl and eval monitoring, and a monthly readout of what moved, what didn't, and what changes next.
Monthly reporting against outcomes
Where we sit
We're not the cheapest option, and for a five-page brochure site or a pre-revenue team we're the wrong one. Here's the honest comparison.
| Capability | SearchSynth | Traditional SEO agency | In-house team |
|---|---|---|---|
| Generative Engine Optimization | Core service, tracked weekly | Recently added, rarely measured | Usually unowned |
| AI automation & agents | Production builds with evals | Outsourced or absent | Competing with the product roadmap |
| Implementation | We ship code as PRs | Recommendations handed over | Owns the codebase |
| Technical depth | Log-level and template-level | Marketing-level | Varies with who you hired |
| Data foundations | Audited before anything is built | Out of scope entirely | Owned, but rarely resourced |
| AI governance & evals | Inventory, evals and evidence as standard | Not offered | Usually a policy doc, rarely tested |
| Reporting | Citations, pipeline, resolution rate | Rankings and sessions | Whatever the dashboard shows |
| Time to first signal | 60–90 days | 6–12 months | Depends on priority |
What the work looks like in practice
No percentages on this page. Every figure worth quoting comes with a methodology, and a number you can't interrogate is exactly the kind of claim we spend our days telling clients to stop making. Ask on the call and we'll walk through the reporting live.
GEO retainer
Consumer finance · competitive rate queries
Become the source the answer is built from
Entity architecture and a canonical fact set, original comparison research the models have a reason to quote, and placement work on the third-party pages already being cited. Baselined first, so every change is measured against a dated starting point.
Weekly citation matrix, every priority query, every engine
Programmatic build
E-commerce · six-figure SKU catalogue
Regenerate a catalogue without publishing thin pages
A pipeline that rebuilds product schema and copy from live inventory, with an index-worthiness gate in front of it. Anything that fails a uniqueness and grounding check goes back to the queue instead of to the index.
Deployed pipeline, quality gates and crawl-budget design
Automation build
B2B SaaS · inbound qualification
Answer every call, qualify it, book it
A voice agent reading real calendar availability, qualifying against ICP, and warm-transferring the moment a caller asks for a person. Shipped with an eval suite and a golden dataset, because the second version is much harder without tests behind the first.
Agent in production, eval suite and observability dashboards
Frequently asked questions
If yours isn't here, ask on the call — we answer scope and pricing questions directly.
What exactly is GEO, and is it different from SEO?
Do we have to buy all six services?
How does pricing work?
How long are your contracts?
Will you replace our current agency?
Who actually does the work?
Stop guessing which half of search you're losing. Let's measure it.
Thirty minutes with the engineers who'd run the work. Bring your domain and your worst workflow — we'll tell you what we'd fix first, and what isn't worth touching.
30-minute strategy call
With an engineer, not a closer
Typical reply time: under 4 business hours.
hello@searchsynth.ai