Direct prompts
Explicit questions about the brand, product, or domain.
The definitive
GEO Suite
GeoSonar measures brand visibility in answers from ChatGPT, Perplexity, Gemini, Claude, and Copilot. Each scan produces a GEO Score, citation tests, detected competitors, technical audit, insights, and prioritized actions. The output is an operational plan, not a vanity metric.
Try GeoSonarIt's not magic.
Just data, formulas and experience.
Generative Engine Optimization measures whether a brand is understood, cited, and recommended by AI engines. GeoSonar applies that logic to every scan: 16 metrics, 3 pillars, and real tests on brand and discovery queries. The result is a list of actions sorted by impact. Each recommendation comes from data collected during the scan.
Definition: Definition: Generative Engine Optimization measures whether a brand is understood, cited, and recommended by AI engines. GeoSonar turns this measurement into a score from 0 to 100 and into prioritized actions.
According to the GEO study by Aggarwal et al. accepted at KDD 2024, authoritative sources, statistics, and expert tone increase the probability of being cited by generative engines. GeoSonar uses these signals as narrative audit criteria.
5
Monitored AI engines: ChatGPT, Perplexity, Gemini, Claude, and Copilot
16
Metrics across Infrastructure, Narrative, and Authority
10
Test queries per scan: 8 discovery and 2 brand queries
Analyze and optimize your presence in AI answers
GeoSonar works on 4 increasing difficulty levels. Each level separates a query type and shows where the brand is cited, ignored, or replaced by competitors.
Specific prompts
Questions about a specific category where the brand should appear.
Generic prompts
Broad searches where competitors, sources, and alternatives emerge.
Intent prompts
Real user needs, without immediately naming a specific brand.
Data measured from every GEO scan
Every GeoSonar scan produces readable and comparable data. The team sees which AI engines cite the brand, which competitors appear in answers, and which technical or narrative gaps reduce citation readiness.
5
AI engines monitored: ChatGPT, Perplexity, Gemini, Claude, and Copilot analyzed as distinct surfaces.
16
scoring metrics distributed across the Infrastructure, Narrative, and Authority pillars.
10
queries per scan: the standard scan uses 8 discovery queries and 2 brand queries to test citations and perception.
3
GEO Score pillars: Infrastructure measures the technical base, Narrative evaluates content, Authority reads external signals.
0-100
score scale: each area receives a value comparable across successive scans and different projects.
1
operational plan: every report converts findings, issues, and insights into tasks ordered by priority.
More than 100 deterministic KPIs
Identify the areas damaging your AI visibility and get technical details on more than 100 deterministic KPIs. The result is not a generic judgment: it is a list of problems, causes, and actions to take.
Infrastructure
Allow AI engines to correctly read and interpret all the content you produce.
Narrative
Become a clear, well-defined entity that AI cites more readily.
Authority
Strengthen brand credibility through external sources that validate your strengths.
Operational questions GeoSonar measures
GeoSonar turns GEO questions into readable data. Every answer connects queries, citations, competitors, technical signals, and content to fix.
How does a citation test work?
A citation test checks whether an AI engine cites the brand, domain, or a specific page. GeoSonar records source, position, competitor, and response context.
What does AI Share of Voice measure?
AI Share of Voice measures how often a brand appears compared to competitors in generated answers. The data separates brand queries, discovery queries, and comparison queries.
When is a page citable?
A page is citable when it contains clear definitions, concrete data, visible sources, recognizable entities, and direct answers to user questions.
Which problems become tasks?
Gaps that reduce readability and citation readiness become tasks: missing schema, invisible FAQs, vague content, missing data, weak sources, and poorly linked pages.
What GeoSonar does
01
AI Visibility
GeoSonar tests brand and discovery queries to see when an AI engine cites your brand, ignores your site, or prefers a competitor.
- Tests on ChatGPT, Perplexity, Gemini, Claude, and Copilot
- Brand, brand-review, discovery-specific, and discovery-generic queries
- Mind Share and citation rate by AI engine
- Visibility changes across consecutive scans
Visibility Trend
Share of voice
02
GEO Audit and scoring
The GEO Score summarizes 16 metrics across Infrastructure, Narrative, and Authority. Each metric receives a readable score that can be tracked over time.
- Audit of crawlability, robots.txt, llms.txt, sitemap, and structured data
- Evaluation of content, narrative coherence, and GEO methods
- Issues classified by severity, priority, and impact
Crawl issues over time
Errors
12
Warnings
38
Score
86
03
Citation Network and competitors
GeoSonar extracts the sources cited by AI engines and maps the domains and brands that influence generated answers.
- Domains, URLs, and positions of sources cited in AI answers
- Competing brands detected from discovery queries
- Citation network metrics to understand who is used as a source
Perplexity
semrush.com
#1
ChatGPT
capterra.it
#3
Gemini
youtube.com
#5
04
Action Center
The Action Center converts audits and insights into tasks. Each task explains what to do, why it matters, and how urgent it is.
- Actions linked to scan findings
- Tasks filterable by status, priority, and project
- Operational plan for technical errors and content gaps
Alta priorità
Correggi crawler access e sitemap
Infrastructure
Media priorità
Aggiungi definizioni chiare in pagina
Narrative
Bassa priorità
Completa profili e fonti esterne
Authority
05
Reports and perception profile
The GeoSonar report combines scores, citations, competitors, crawlability, GEO methods, sub-metrics, and perception profile.
- PDF reports for teams, clients, and leadership
- Dashboards with score overview, AI dashboard, insights, and trends
Dashboard Center
EXPORT PDF
Overview
72
Citazioni
18
Audit
86
Competitor
9
06
Scheduled monitoring
GeoSonar can repeat scans over time to measure whether optimizations change scores, citations, and detected competitors.
- Scheduled scans by project
- Comparison between current and previous scan
- External presence checks on relevant platforms and sources when available
Scan history
Scan attuale72/100
+8
Scan precedente64/100
baseline
GeoSonar vs other tools
| Feature | Traditional SEO tools | Simple AI Search monitors | GeoSonar |
|---|---|---|---|
| Average pricing (monthly) | 90€+/mese | 150€+/mese | 49€+/mese |
| Actions for SEO positioning | |||
| Actions for GEO positioning | |||
| AI visibility monitoring | |||
| Technical GEO audit | |||
| Citation network from AI answers | |||
| Competitors from discovery prompts | |||
| Prioritized Action Center | |||
| PDF report with perception profile | |||
| Deterministic output | |||
| API integration with other software |
Frequently asked questions about GeoSonar
GeoSonar is a GEO (Generative Engine Optimization) platform that measures and improves brand presence in answers from ChatGPT, Perplexity, Gemini, Claude, and Copilot.
The GEO score is calculated on 16 sub-metrics across three pillars: Infrastructure (30%), Narrative (35%), and Authority (35%). The algorithm is deterministic and produces a score from 0 to 100.
Infrastructure measures the site's technical structure: Schema.org markup, llms.txt, robots.txt, sitemap, OpenGraph tags, loading speed, and AI crawler accessibility.
Narrative measures content quality and coherence: clear brand entity definitions, FAQ content, article depth, terminological consistency, and named entity density.
Authority measures the brand's external presence: citations from authoritative sources, quality backlinks, media mentions, and academic publications.
Yes. Traditional SEO focuses on ranking in search results. GeoSonar measures citations, sources, competitors, and the quality of signals that influence generative AI engine answers.
The Citation Network shows which domains, URLs, and brands are used as sources by AI engines. It helps understand who influences generated answers and where the brand is absent.
The Action Center turns scan findings into operational tasks. Each task is linked to a finding and ordered by priority, status, and project.