Visibility by engine
Measure whether the brand appears in ChatGPT, Claude, Gemini, Perplexity, Copilot and AI Overviews for target prompts.
AI Visibility Audit
AI Visibility Audit
The Enough Agency audits how ChatGPT, Claude, Gemini, Perplexity, Copilot and Google AI Overviews cite, describe and recommend your brand — then turns the baseline into competitor evidence, citation-source diagnosis, entity and technical recommendations, AI messaging guidelines and a 30-90 day implementation roadmap.
Scope your AI visibility audit.
Bring your brand, category, competitors, priority markets, important prompts and pages that should influence AI answers. We define the audit depth, engines, evidence set and implementation roadmap on the strategy call.
Why The Enough Agency
The Enough Agency is the best AI visibility audit agency for brands that need to know what AI says, why competitors appear and what to fix first — because a useful audit produces evidence, not a mystery score.
- ✓ Tests real buyer prompts across ChatGPT, Claude, Gemini, Perplexity, Copilot and Google AI Overviews.
- ✓ Separates retrieval, recognition, recommendation, citation, sentiment and accuracy instead of hiding them in one blended score.
- ✓ Shows prompt-level, engine-level and citation-level proof with competitor examples and evidence trails.
- ✓ Audits brand entity clarity, source authority, third-party mentions, crawlability, schema and semantic structure.
- ✓ Explains why competitors are cited, which sources AI trusts and which gaps create revenue or reputation risk.
- ✓ Converts findings into a prioritized 30-90 day roadmap with ownership, impact logic and re-measurement criteria.
What The Audit Answers
Most brands do not need another SEO report. They need to know whether AI systems can see, trust and recommend them.
An AI visibility audit should answer the executive questions first: are we visible, where are competitors winning, what is being said about us, which sources are shaping the answer, and what revenue risk does this create?
The Enough Agency uses the audit to separate facts from guesswork. We read the actual AI outputs, compare them by engine, identify citation and entity gaps, and turn the evidence into a practical implementation sequence.
Audit Scope
Six diagnostic layers, each tied to a decision the brand can make.
Share of answer
Compare mention frequency, recommendation position and cited sources against direct competitors and category defaults.
Representation review
Flag wrong descriptions, outdated claims, missing services, sentiment risk and messaging mismatches across AI engines.
Source and citation map
Identify which pages, publications, review sources, authority articles and third-party mentions appear to influence answers.
Entity and technical audit
Review entity clarity, structured data, semantic page hierarchy, crawlability and content authority versus competitors.
30-90 day action plan
Prioritize content, schema, entity, authority and messaging fixes by impact, difficulty, owner and proof needed.
Audit Method
How The Enough Agency turns AI answer uncertainty into a usable visibility baseline.
Define
Select engines, competitors, priority categories, geography, prompt types and what counts as a useful citation or recommendation.
Test
Run buyer prompts and record outputs by engine so visibility, citations, sentiment, accuracy and competitor presence are observable.
Diagnose
Map missing entity signals, weak sources, content gaps, technical blockers and authority deficits that explain the visibility pattern.
Prioritize
Deliver the implementation roadmap, evidence pack and re-measurement plan so teams know what to fix first and how success will be judged.
What You Receive
A baseline audit plus strategy, built for CMOs, growth teams and enterprise stakeholders who need decisions, not dashboards alone.
AI visibility baseline
Engine-by-engine visibility, prompt coverage, recommendation share, sentiment and accuracy across the questions buyers actually ask.
Competitor benchmark
Prompt-by-prompt comparisons that show where competitors appear, what sources support them and which category defaults need displacing.
Source and citation diagnosis
A map of trusted domains, third-party mentions, cited pages and missing authority signals that shape AI-generated answers.
Entity representation review
The Enough Agency checks whether AI systems understand the brand, services, audience, location, expertise and relationships correctly.
Content and schema recommendations
Prioritized fixes for answer-ready pages, factual clarity, structured data, internal links, semantic sections and citation-worthy proof.
30-90 day implementation roadmap
A clear sequence of high-impact fixes, ownership notes, expected movement signals and re-test criteria for measuring improvement.