01 The firm
We make brands legible to machines.
GoAnswers is an AI visibility engineering firm. We structure the entities, knowledge and authority signals an answer engine needs before it will describe a brand accurately — and long before it will recommend one.
- GEO / AEO
- F1–F5
- Four metrics
- EN / ES
02 The position
Someone has to be the source.
An answer engine cannot decline to answer. When a person asks which firm, which tool or which provider, it names something — and it builds that name out of whatever it could parse and trust.
That is the whole of our work. Not persuading a model, which is not possible, but making a brand's facts unambiguous, consistent across sources and shaped so they can be lifted intact into an answer. Most of the time the brands that get recommended are simply the ones that were easiest to be certain about.
We do not claim to control what any engine outputs. We claim that the inputs are engineerable, that the outputs are measurable, and that the gap between those two things is where the work lives.
03 How we work
Three commitments that shape every engagement.
- 01 Measured
- Every recommendation comes from a repeatable measurement, not an opinion about what engines probably like. The same prompt set, the same models, the same number of runs.
- 02 Legible
- You get the method, not a black box. What we measured, how, and what the number means — written so an in-house team could repeat it without us.
- 03 Sequenced
- We will not sell F3 to a brand whose entities are still ambiguous, because the content would only inherit the ambiguity. Why the order pays back is set out in the methodology.
04 The people
Four people, and who owns what.
Small enough that you always know whose hands your work is in, and which phase of the method each person answers for.
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Phases: F1F4 Nicolás N.
Runs the practice and the engagements. Decides what a brand actually needs measuring, and holds the line on what the firm will and will not claim on a client’s behalf.
- Engagement scope
- Audit interpretation
- Positioning
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Phases: F2F5 Artur P.
Owns the measurement and the machinery behind it: the prompt harness, the entity architecture, and the structured data that decides whether a claim is legible to a crawler at all.
- Measurement harness
- Entity architecture
- Structured data
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Phases: F2F3 Marta R.
Turns an entity graph into something a person will actually read. Owns the information design across reports, the knowledge hub and everything published under the firm’s name.
- Information design
- Report craft
- Knowledge hub
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Phases: F1F5 Diego L.
Builds the pipeline that runs the prompt set across six engines and keeps every run comparable to the last one. Also the person who checks that a crawler can reach what we shipped.
- Prompt pipeline
- Crawlability
- Monitoring
05 House rules
Six things we will not do, including on this site.
Most of what damages AI visibility is not an omission, it is something someone actively shipped. These are the standards this site is held to, so you can check them against it.
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Pages that exist for a keyword
If a page does not answer a real question in its first two or three sentences, it does not get published. Thin pages dilute the entity they are supposed to strengthen.
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Sector pages cloned from a template
Eleven near-identical pages with the noun swapped is spam at scale, and both search and answer engines treat it that way. Each vertical needs its own problem, data and examples, or it gets merged.
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Invented schema
No FAQPage markup for questions nobody asked, no review markup for reviews that do not exist. It risks a manual action and it corrupts the entity you are trying to define.
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Empty case studies
Work that is not finished stays behind noindex until there is something real to read. A published placeholder is a promise you have already broken.
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Machine-translated Spanish
The Spanish pages are written, not translated. Intent and phrasing differ by market, and an hreflang pair that points at a bad translation earns nothing.
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Content that needs JavaScript to exist
Many AI crawlers do not execute JavaScript. If the text is not in the HTML, it is not in the answer. Everything here is rendered ahead of time.
If any of that sounds like the way you already work, we will get on.
07 The first move
Find out how six answer engines describe you.
The free AI Visibility Audit reports what ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude and Copilot say about your brand today — and where the gaps are.
- Platform-by-platform visibility snapshot
- Entity clarity assessment
- Competitor comparison
- Prioritized actions