Search Engine
The slow lane
Ten blue links. Still the largest single channel. Still the most predictable.
The Three-Engine Model™ · Signostic
The buyer asks three engines. You answer one.
Search ranks. Answer engines cite. Maps place. The signals overlap; the weights don't. Most operators are optimized for the engine that's losing share of the question.
Run a Three-Engine audit→Search Engine ranks
Answer Engine cites
Place Engine locates
The framework
The Three-Engine Model
Three engines now decide whether a buyer sees you. They read the same signals. They weight them differently. The model is the spine of every audit Signostic ships.
Answer Engine
The citation lane
ChatGPT, Perplexity, Claude, Google AI Overviews, Gemini.
Place Engine
The proximity lane
Maps, Local Pack, “near me”, AI-grounded local recommendations.
What every engine reads
The shared signal base
In order of leverage:
- Entity definitionWho and what you are, unambiguously, at machine-read depth.
- Structured dataSchema as the spine — read by all three engines.
- Authority graphWho cites you, who you cite, the company you keep.
- Content depthOne paragraph isn't an answer. Answer engines know.
- Local consistencyNAP, GBP, citation parity, review pattern.
The asymmetry worth knowing: optimizing the Search Engine alone does roughly 60% of the work for the other two. The remaining 40% is where most sites lose the answer lane — and where the audit looks first.
Inside the audit
How Signostic measures it
The audit ships with three sub-scores, one per engine.
01 Sub-score
Citation Presence
Appearances across the four major answer engines, with the prompt set that matched — and the prompt set that didn't.
Answer Engine read
02 Sub-score
Schema · Entity Health
Markup depth, entity disambiguation, knowledge-graph reach, extractable answer blocks.
Machine-read surface
03 Sub-score
Place Signal
GBP, NAP, review pattern, geo-content density, Local Pack eligibility.
Place Engine read
Pulled, pinpointed, proven. The same diagnostic shape; one more index.
In the engagement
What changes — and what doesn't
The audit
Ships with a Three-Engine score, not a search score.
The strategy
Maps remediation by engine, by weight, by month.
The proof loop
Tracks citation deltas alongside rank deltas.
Nothing about the shape of the work changes. The aperture widens.
Questions, answered
FAQ
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Will answer engines replace search?
No. They're a layer above it. Stack accordingly.
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What's the fastest move?
Schema depth and entity disambiguation. Read by all three engines, costs hours not months, almost always under-built.
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How do I know if my pages are being cited?
You don't, without measurement. Citation discovery runs on a fixed prompt set per vertical. It's part of the audit.
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Is this a new service?
No. Same diagnostic shape. One more engine in the model.
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Why call it the Answer Engine, not AEO?
AEO names the optimization. Answer Engine names the thing being optimized for. The second one survives the next renaming cycle.
See the model applied to your domain
Run a Three-Engine audit
Same diagnostic shape. One more engine in the model. Citation Presence, Schema/Entity Health, Place Signal — with a remediation map weighted to where ground is being lost fastest.
Get a diagnosis→