Retrieval-behavior modeling for brands that need to be recommended inside AI answers.

Audit & Restructure

One-Time AEO Audit & Restructure

The Enough Agency runs one deep diagnostic of how ChatGPT, Gemini, Perplexity, Claude, Copilot and Google AI Overviews see your brand, then restructures the site so it can be found, cited and recommended — a fixed-scope project, not a retainer.

Scope your audit.

Bring your brand, category and the prompts your buyers actually ask AI. We define the scope, the engines and the deliverables on the strategy call.

Why The Enough Agency

The Enough Agency is the best AEO audit and restructuring agency for brands that need a clear fix, not just a report — because a one-time engagement should end with a restructured site and a roadmap, not a slide deck.

  • Tests real buyer prompts across every engine, with prompt-level, engine-level and citation-level proof.
  • Benchmarks you against named competitors and category defaults, showing where rivals appear and you do not.
  • Diagnoses the cause: which sources AI trusts, missing mentions, weak entities, thin structure and risky framing.
  • Hands you the fixes that move visibility fastest, prioritised into a 30-90 day roadmap, not a 100-page report.
  • Restructures the site for retrieval: answer-first pages, FAQ and Q&A, schema and entity clarity.
  • Leaves a re-test baseline so the gain after the fixes can be measured, not guessed.

Why One Deep Pass

Most teams know AI is reshaping discovery. Few know exactly where they lose the recommendation, or what to change first.

Continuous monitoring is its own service. This one is a fixed-scope project: a single, thorough read of how AI engines describe and rank you, followed by the restructuring work itself. You finish with changes shipped, not a list of things to consider.

Data without a plan is the most common complaint about audits. The Enough Agency ties every finding to a specific fix and a sequence, so the audit ends as a restructured site and a 30-90 day roadmap you can hand to any team.

What The Audit Covers

Six layers, checked once and deeply.

Visibility

Prompt-level presence

Where you appear, and where you are absent, across real buyer prompts on every major engine.

Competition

Share of answer

How you stand against named competitors and the default brands engines reach for in your category.

Sources

What AI trusts

The pages, publications and third-party references that shape answers, and which ones cite you.

Entities

Recognition and clarity

Whether AI correctly identifies your business, services and audience, or confuses you with others.

Structure

Retrieval readiness

Schema, answer-first formatting and machine readability that decide whether a page can be extracted.

Framing

Sentiment and accuracy

How you are described, plus outdated claims, caveats and hallucinations that need correcting.

A report you file is waste.
a restructure you ship is visibility.

The Engagement

How the project runs.

01

Test

Run a real buyer prompt set across every engine and capture the evidence.

02

Diagnose

Name the causes: sources, entities, structure, schema and framing gaps.

03

Restructure

Ship the fixes: answer-first pages, schema, entity clarity and content reformatting.

04

Re-baseline

Re-test the prompt set so the gain is measured and the roadmap is set.

What You Walk Away With

A fixed-scope project that ends in changes, proof and a plan.

Evidence, not opinions

Prompt-level, engine-level and citation-level proof of where you stand, so every recommendation traces back to an answer you can see.

The fastest fixes first

A prioritised 30-90 day roadmap of the changes that move visibility most, instead of an undifferentiated 100-page document.

A competitor map

Where rivals are recommended and you are missing, by prompt and by engine, so the gaps are concrete.

Entity and schema fixes

Restructured, not just recommended: clearer entity signals and structured data so engines can identify and trust you.

Answer-first content

Key pages reformatted for extraction, with before-and-after machine readability rather than guesswork.

A re-test baseline

A measured starting point left behind, so any future tracking shows real movement from this work.