Measure What Matters
Move beyond rankings toward recommendation visibility, consistency and position.
AI visibility platform Coming soon
AI Recommendation Platform for Search Teams
See how your brand could appear in AI answers, comparison prompts, Google AI Overviews, and recommendation-style search journeys.
SEOshifter is being built for people who need to understand what AI search is saying about a brand. It will help show where the brand appears, where competitors are showing up, and which sources may be shaping the answer.
SEOshifter connects AI visibility with the SEO work that helps brands become clearer, more trusted, and easier to recommend.
SEO visibility dashboardAI Search Performance
Sample data
AI visibility score68%+8% this period
Brand mentions142Across tracked answers
Source citations89Trusted sources found
Recommendation share24%Across comparison prompts
Visibility trendBrand presence over time
Last 8 weeksSEOshifterTop competitor
Answer shareBy AI system
ChatGPT 38%Gemini 31%Other 31%
Prompt coverageTop visibility areas
Search opportunitiesWhat needs attention
- Entity clarityHigh impact
- Source coverage6 gaps
- Competitor overlapReview
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AI AnswersUnderstand where brands appear in generated answers.
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Brand ComparisonsSee how brands are evaluated against competitors.
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Recommendation PatternsFind the patterns that shape AI recommendations.
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Source InfluenceIdentify sources that reinforce recommendations.
Recommendation intelligence
Measure the AI Answer Journey
SEOshifter is being designed to show what happens when AI systems answer search questions. It will help teams see when their brand appears, which competitors appear beside it, and whether the answer changes across prompts or AI tools.
The goal is to turn messy AI answers into a clear report that a marketing or SEO team can use. Teams will be able to spot weak brand information, missing proof, unclear entity details, and sources that may be shaping the answer.
Read the platform overviewBenchmark Smarter
Compare recommendation patterns across industries, prompts and AI systems.
Act on Insights
Identify visibility gaps, source influence and opportunities to strengthen trust.
AI-generated discovery
AI Answers Can Shape the First Shortlist
Many people now ask AI tools to explain a topic, compare options, or recommend a few brands. That means the first shortlist can be built before someone visits a website.
If your brand information is unclear, missing, or spread across weak sources, the answer may skip over you. SEOshifter is being built to help teams understand where that happens and what needs to be improved.
This matters even if your normal SEO rankings look strong. AI answers can use different sources and show different competitors, so teams need to check the answer itself.
Summarise
Multiple sources become one direct answer.
Compare
Brands and products are evaluated in the response.
Shortlist
Recommendations determine which options move forward.
Recommend
Guidance appears before a traditional click.
Industry search journeys
Build SEO Around the Questions People Ask
AI search does not treat every market the same way. A legal client, software buyer, patient, investor, or shopper asks different questions before they trust a recommendation.
Legal Searches
Matter intent, firm credibility, reviews, and local authority.
Software Searches
Product fit, integrations, security, and adoption proof.
Care Searches
Care services, credentials, patient confidence, and clinical clarity.
Advice Searches
Risk guidance, compliance language, trust, and evidence quality.
Product Searches
Product detail, availability, pricing, reviews, and category depth.
The SEOshifter difference
Find What Is Holding Visibility Back
SEOshifter is focused on the question that comes after a brand appears or disappears in an AI answer: what caused it? The method looks at competitors, sources, entity clarity, prompt wording, and industry fit.
That gives teams a better starting point for content, SEO, schema, and authority work. The goal is to help people fix the right problems instead of guessing which page to change next.
This is not only about counting mentions. It is about understanding why the answer chose one brand, skipped another, or used a source that does not fully support your position.
See the Method- Why competitors are recommended
- Where brands disappear in the journey
- Which trust signals may be missing
- Which sources influence recommendations
- How patterns differ by industry
Build stronger AI visibility
Learn the Method, Then Follow the Product
Start with the method behind AI visibility, then move into the resources that explain how prompts, sources, competitors, and trust signals shape search recommendations.
The resource hub is the best starting point for practical AI SEO, source coverage, entity clarity, and recommendation-led search.