AI visibility
Where a brand appears in AI answers, summaries, and recommendation sets.
Platform direction Coming soon
See how your brand could appear in AI answers, comparison prompts, Google AI Overviews, and recommendation-style search journeys.
Built around recommendation behaviour, competitor patterns, source influence, and practical SEO actions.
BrandCompetitor
ChatGPTGemini
AI visibilityAnswer and mention patterns.
CompetitorsWho appears more often.
SourcesWhat shapes the answer.
ActionsWhat should improve next.
Focused analysis
A useful AI visibility review cannot stop at one score. It needs to connect prompts, answers, competitors, sources, and the SEO work behind them.
Where a brand appears in AI answers, summaries, and recommendation sets.
Which competitors are named more often and where they look stronger.
The pages, profiles, reviews, articles, and sources that may support an answer.
The pages, schema, proof, and content work that need attention.
AI-generated discovery
AI systems summarise information, compare brands, influence shortlists, and provide guidance before a user visits a website.
Multiple sources become one direct answer.
Brands are evaluated inside the response.
Recommendations influence which options move forward.
Guidance appears before a normal search-result click.
Context changes the answer
Prompts, trust requirements, authority signals, and source ecosystems change with the market and the decision being made.
Matter intent, firm credibility, reviews, and local authority.
Product fit, integrations, security, and adoption proof.
Care services, practitioner trust, safety, and patient confidence.
Risk signals, compliance strength, reputation, and advisory trust.
Product detail, price clarity, reviews, and delivery confidence.
The SEOshifter difference
A mention is useful, but it does not tell the full story. Teams need to know whether the brand is recommended, compared, ignored, or pushed behind stronger competitors.
Explore the methodology ->AI visibility starts here
Explore the methodology, review the resource hub, and start mapping the signals that influence AI-generated recommendations.