AI SEARCH & GEO SYSTEM
Prosis Digital Solutions runs AEO and Generative Engine Optimization (GEO) work to improve the visibility of enterprises and B2B brands in the right product, service, and buying contexts across ChatGPT, Gemini, Claude, Perplexity, and Google AI experiences. The program evaluates technical SEO, search queries, content, entity relationships, and citation data together. For each service, a single canonical commercial page is planned along with the guides, real case studies, and research that support it.
Next step
Share your company website and target market. In the initial call, let's clarify the current signals, the priority customer questions, and the possible scope of work.
Free AI visibility report
We'll report where your brand appears in ChatGPT, Gemini, and Perplexity answers, and where your competitors stand out.
We review your site's crawlability, brand definition, and open-web signals.
We choose the key customer questions and the competitors to compare against together.
We discuss the priority opportunities, the measurement approach, and the possible scope of work.
Who is this service for?
Prosis Digital Solutions offers GEO consulting for brands that want to measure search visibility and mentions in AI answers together. Commercial queries, canonical pages, entity relationships, and citation tracking are handled in one program; being recommended in any specific AI answer is not guaranteed.
Related case study: Technical SEO and GEO Improvements for an Anonymous Education ClientSolution: One canonical service page for commercial queries, Search Console and SERP analysis, target AI contexts, entity/schema, question-based content, and qualified external source work
Prosis Digital Solutions offers AI visibility and GEO consulting. Audience: Enterprises, B2B companies, Brands.
Pricing and package: Pricing is project-based; scope and fee are clarified in the pre-assessment. Minimum 6-month program.
Short answers
For enterprises and B2B brands, search queries, AI contexts, and brand relationships are evaluated together.
AI visibility is the extent to which a brand is mentioned, recommended, or cited in answers to relevant questions across ChatGPT, Gemini, Claude, Perplexity, and Google AI experiences. Measurement is not just a count of brand mentions; it also examines which user need the brand appears for, which competitors it appears alongside, and which page is used as the source.
GEO is optimization that helps a brand and its content be understood more clearly and found in relevant contexts within generative AI-assisted search and answer experiences. Crawlable pages, an accurate service definition, well-structured content, evidence, and consistent information across independent sources are handled together. It does not guarantee being recommended by any specific model.
ChatGPT SEO is the common name for work that makes a brand easier to understand in research and vendor searches done with ChatGPT. It is not a separate search engine ranking rule. Technical SEO and open-web content are strengthened first; then the pages make clear who the service is for, which problem it solves, and what evidence supports it.
AEO stands for Answer Engine Optimization and focuses on structuring content to answer user questions directly. GEO looks at brand and source visibility in generative answer systems within a broader frame. Both approaches share common foundations such as technical SEO, clear answers, trustworthy sources, and measurement.
There is no single reason. The page may not be crawlable, the service definition may be vague, content matching the relevant query may be missing, or competitors may be mentioned in stronger independent sources. That is why Google search data and the technical state are reviewed first, followed by target AI contexts, cited URLs, and competitor visibility together.
First, a single canonical service page is set for queries that share the same intent. The page is strengthened with direct answers, the target audience, the working method, and verifiable evidence. Guides that serve separate information needs link to this page. Technical SEO, editorial mentions, and citation data are measured regularly to prioritize the gaps.
We don't assume the same result on every platform. We track target questions and sources per platform and fix shared content and entity gaps first. Claude and Google AI experiences are also evaluated when they fit the measurement plan.
Prosis combines the canonical service page, Search Console queries, commercial AI contexts, real customer evidence, and editorial sources in one work plan. We track success separately in Google search visibility and in AI recommendation and citation measurements.
For more detail at the decision stage, see the SEO vs. GEO comparison.
Answer engines are preferred over classic search.
Brands fed by trustworthy, strong sources get recommended.
AI systems look at open-web signals.
AI visibility requires a GEO foundation.
Making your brand understandable and identifiable to AI.
Consistent brand representation across trustworthy sources.
The process of being recommended and cited in answers.
Brand identity, expertise, and service relationships.
Machine-readable structure.
Citable open-web footprints.
Visibility change across target queries.
A set of 356 queries is monitored.
Changes across answer engines are tracked.
Brand footprints on the open web are measured.
The share of trustworthy sources is tracked.
Visibility within the category is benchmarked.
Competitors are listed for "companies offering service X in Turkey" and you aren't. The program locks in these contexts, classifies the missing signals (content, entity, external sources), and closes them in order of priority.
Your Google rankings are decent, but answer engines don't cite your brand. The brand definition, the service–problem relationship, and third-party mentions are handled together.
For a new service, we design from the start which questions you'll match in AI answers, and prepare the page, schema, and external source ecosystem around the same context set.
Evidence
Let's analyze together how your brand is perceived on AI platforms and where it can stand out.
Answer engines don't look only at rankings; they look for pages that consistently explain which problem the brand solves, for whom, and under which conditions, along with verifiable evidence and mentions in independent sources. Technical SEO is the foundation of this work, but on its own it doesn't produce context and evidence signals.
We discuss whether GEO work is a fit based on your company's website and goals. This step is not an automated scan report; detailed context and competitor analysis are done within the program.
Being recommended in every query or at a fixed position can't be guaranteed; answer engines are not deterministic. A visibility commitment is given for the target context set defined in writing at the start of the program, within the agreed measurement framework, and changes are reported as a trend.
We monitor query, impression, click, and target URL performance in Google Search Console and Bing Webmaster data. On the AI side, we lock in the target context set and test it periodically with the same models and conditions; we report commercial context visibility, competitor gaps, and citation status separately.
No. Crawlable pages, correct indexing, and core technical SEO are the foundation of GEO as well. If the technical foundation is lacking, the Organic Growth Setup can be applied first.
Advanced GEO configuration, target AI queries and competitor analysis, entity/schema and brand mention strategy, restructuring of priority pages, question-based content, and at least 50 non-spam backlinks. The program runs a minimum of 6 months; a monthly progress report is shared.