Prompt map
50-200 real questions grouped by comparison, transactional, local, alternative, problem-solution and reputation intent.
We help B2B, SaaS, ecommerce and service companies become easier for ChatGPT, Gemini, Claude, Perplexity, Copilot and AI Overviews to understand, cite and recommend.
Start here
Before writing content or chasing mentions, we measure what AI engines already say about your category. You get a prompt map, competitor snapshot, source graph and prioritized actions.
50-200 real questions grouped by comparison, transactional, local, alternative, problem-solution and reputation intent.
We measure mentions, recommendations, citations, prominence, sentiment and competitors across engines and languages.
We identify the media, directories, reviews, comparison pages and external sources shaping AI answers.
You get technical, entity, content and reputation actions ordered by expected impact and effort.
The new search layer
AI engines synthesize recommendations from many signals: your website, external sources, reviews, citations, structured data, source authority and whether bots can access your content.
There is no stable list of ten results. AI answers are generated, rewritten, retrieved and synthesized differently across engines and sessions.
AI systems often rely on earned media, reviews, directories, comparison pages, forums and trusted third-party references.
One screenshot is not a KPI. We repeat prompts over time and measure visibility as probability, not as a guaranteed placement.
Services
The difference is execution. Dashboards show the problem; we combine analysis, technical fixes, content, entity work and legitimate external source building.
We map the prompts, competitors, citations and sources that shape how AI engines describe your category.
A monthly system for entity optimization, citable content, technical access and source influence.
We identify the external sources AI engines trust and build legitimate presence where it matters.
We make your site easier for AI agents to read, compare, extract and use without friction.
Method
We treat AI visibility as a system: questions, entities, sources, crawl access, claims, citations and repeated measurement.
We define the questions buyers ask when they want recommendations, alternatives, comparisons and providers.
We run repeated tests across AI engines and record mentions, recommendations, citations, competitors and source influence.
We make the business easier to understand and crawl through structured data, canonical facts, clear pages and bot access.
We create assets worth citing and build legitimate presence in the external sources AI engines already trust.
We measure again, compare against competitors and prioritize the next interventions by impact.
Engines monitored
Each engine behaves differently, so we monitor prompts by engine, language, location intent and buying stage.
Buyer questions
These are the practical questions we answer during the first audit, using real prompts, sources and evidence from your market.
You cannot buy a fixed position, but you can improve the signals AI engines can discover: clear entity facts, crawlable pages, trusted sources, reviews and citable proof.
We map the articles, directories, comparison pages, reviews, partner profiles and community references that repeatedly appear when AI engines answer category prompts.
We track mention rate, recommendation rate, citation rate, source influence, sentiment and competitor share of voice through repeated prompt samples.
Start with evidence
The audit gives you a clear baseline, competitor context and a prioritized roadmap before you invest in GEO, AEO or digital PR actions.