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Free audit Audit

01 Method

02 Surfaces

03 Evidence

04 Firm

Free audit See how six answer engines describe your brand today.
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00 AI visibility engineering

Ten sections

Be the answer, not a result.

AI answer engines don’t rank pages — they compose one reply and name a few brands. GoAnswers structures your entities, knowledge and authority so an engine has what it needs to name yours.

Free AI visibility audit The F1–F5 method
01
Prompt

 Who should we hire to make our brand visible in AI answers?

02
Retrieve Most discarded, a few retained
03
Resolve brand · offering · authority
04
Answer

Composed answer cites Your brand [1]

Recommended
Schematic. The path an answer takes, and the point where a brand is either named or not.
Framework
F1–F5
Answer engines
Six
Sectors
Eleven

01 The shift

Search ranked pages.
Answer engines make judgements.

An answer engine reads the web the way an analyst does: it gathers what it can parse, decides what it trusts, and writes a single conclusion. Nothing about that process rewards a page built for skim-reading. It rewards a brand whose facts are stated the same way wherever the engine finds them.

Dimension Search Answer engine
Surface A page of ranked links One synthesized answer
Unit The page The entity
Currency Rank position Share of Recommendation
Reader A person, skimming A retrieval system, parsing
Outcome A click A recommendation

02 Inside the answer

Five stages decide whether your name appears.

An answer engine runs the same five stages every time it is asked something. The stage where your brand drops out is the one worth fixing, and locating it is what the audit does.

Notation

Entity
A thing an engine can name: a brand, product, person, place.
Relationship
A stated, verifiable link between two entities.
Source
A document the engine retrieved and may cite.
Recommendation
The entity the answer actually names. The only one that counts.
  1. 01

    Prompt

    A person asks a question in their own words.

  2. 02

    Retrieve

    The engine gathers candidate sources it can parse.

  3. 03

    Resolve

    Entities are identified, disambiguated and linked.

  4. 04

    Weigh

    Authority and consistency decide what survives.

  5. 05

    Answer

    One response is composed, and a few names are cited.

Four of the five happen before a word is written. That is where the work is.

03 Instrumentation

Four numbers replace the ranking report.

  1. Share of Recommendation How often an engine recommends you rather than an alternative. Definition →
  2. Citation Share How often your content is the source an answer is built on. Definition →
  3. Top3 Whether you are inside the handful of names an answer actually gives. Definition →
  4. Co-mentions Which competitors the engine believes you belong beside. Definition →

Each term has one canonical definition in the glossary, and the same wording is used in every report, study and page on this site.

04 The method

One graph.
Five states.

F1 to F5 is the order the work has to arrive in: each phase produces the raw material the next one needs, and skipping ahead only spreads the ambiguity further. Each phase is a service, and each one moves the same seven entities closer to resolution.

Read the methodology
  1. F1 Disconnected AI Visibility Audit Understand how AI systems currently see your brand. Phase F1
  2. F2 Structured Entity & Knowledge Hub Build the entity architecture AI systems need. Phase F2
  3. F3 Connected Content Optimization Engineer content for machine comprehension and citation. Phase F3
  4. F4 Authoritative Authority Building Establish the authority signals that drive recommendation. Phase F4
  5. F5 Recommended AI Visibility Monitoring Track and maintain your Share of Recommendation. Phase F5

05 Services

Five engagements.

All services
F1 AI Visibility Audit A comprehensive analysis of how AI answer engines perceive, retrieve and reference your brand across major platforms. F2 Entity & Knowledge Hub Structured entity architecture that helps AI systems understand your brand, products and authority signals. F3 Content Optimization Content engineered for AI retrieval — structured for machine comprehension, optimized for citation and recommendation. F4 Authority Building Strategic authority signals that increase your brand's Share of Recommendation across AI answer engines. F5 AI Visibility Monitoring Continuous monitoring of your brand's visibility, citation share and recommendation patterns across AI platforms.

06 Surfaces

Six engines. Six different sets of rules.

All platforms
Engine Used for Decided by Link
ChatGPT Open-ended evaluation Retrieval plus training familiarity Perplexity Deep research Source quality and freshness Google AI Overviews High-intent search Index authority and structure Gemini Multi-step reasoning Entity clarity across surfaces Claude Considered comparison Consistency and verifiability Copilot In-workflow questions Bing index and crawler access

07 Sectors

The questions differ by industry. So do the fixes.

08 Evidence

Read the work before you buy any.

If the job is being citable, the firm should be citable too: defined terms, a documented method, and work you can read before you buy anything.

Case study SaaS platform AI visibility The F1–F5 sequence applied end to end, with what changed at each phase. Read the case
Research Studies behind the framework Guides How to run each phase yourself Glossary Canonical definitions we work from Comparisons GEO, AEO and traditional SEO

09 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

No account, no analytics access, no obligation.

10 Answers

Questions we get asked.

01 What is AI visibility?

AI visibility is the degree to which answer engines can understand, retrieve, cite and recommend your brand when someone asks a relevant question. It is measured in recommendations and citations, not rankings.

02 How is this different from SEO?

SEO competes for position in a list of links. AI visibility competes for inclusion in a single synthesized answer. The unit of optimization moves from the page to the entity, and the currency moves from rank to Share of Recommendation.

03 How does GoAnswers improve AI visibility?

We structure your entities, knowledge architecture and authority signals so AI systems can accurately comprehend, reference and recommend your brand. The work runs through five phases, F1 to F5, and each phase has a measurable output.

04 Which AI platforms does GoAnswers optimize for?

ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude and Copilot. Each engine retrieves and cites differently, so each has its own page explaining what it rewards.

05 Where does an engagement start?

With the free AI Visibility Audit. It reports how the six engines currently describe your brand and what is causing the gaps, with no obligation to continue.