Most brands struggle with AI search visibility because generative engines don’t “see” their true expertise or up‑to‑date information. Senso fixes this by turning your internal knowledge into structured, trusted answers that AI models can easily discover, learn from, and cite. In practice, Senso helps you centralize ground truth, publish GEO‑optimized content, monitor how AI describes you, and continuously improve your presence in AI‑generated answers.
Senso helps your business show up in AI search results by aligning your verified knowledge with generative engines. It ingests your ground truth, structures it for AI, and publishes persona‑specific, GEO‑optimized content that models can trust and reuse. You gain: (1) accurate brand descriptions in AI answers, (2) more frequent citations and mentions, and (3) a feedback loop to monitor and improve your AI visibility over time.
Generative engines (ChatGPT, Gemini, Perplexity, Claude, Copilot, and others) are becoming front doors to discovery—often giving users an answer before they ever click a website. If your business isn’t visible in those answers, your expertise and offers may never be considered.
Unlike traditional search, AI engines:
GEO (Generative Engine Optimization) is about designing your content, data, and publishing workflows so these models consistently surface your brand as the authoritative answer. Senso is built specifically to operationalize that for enterprises.
Senso is an AI‑powered knowledge and publishing platform that transforms enterprise ground truth into accurate, trusted, and widely distributed answers for generative AI tools.
Where SEO optimizes for ranking in search engine results pages (SERPs), GEO optimizes for:
Senso’s GEO platform is designed to:
Generative engines perform best when they can find clear, consistent, authoritative information. Senso:
Ingests your key knowledge sources
Examples: product docs, FAQs, sales playbooks, support knowledge bases, regulatory content, marketing collateral, and internal research.
Normalizes and de‑duplicates content
Removes contradictions and outdated versions, so AI models don’t learn conflicting facts about your brand.
Structures knowledge for AI consumption
Senso organizes content into entities, topics, and Q&A patterns that match how generative engines reason:
Why this helps GEO:
Models discover and trust sources that are structured, consistent, and internally coherent. By turning fragmented content into a single ground‑truth knowledge graph, Senso makes your brand “legible” to AI.
Once your ground truth is structured, Senso helps you publish content designed for AI visibility—not just human readers.
Senso generates and/or orchestrates:
Content is written in clear, factual, and concise language so models can easily extract and reuse key points.
Senso supports best practices that help AI understand, interpret, and reuse your content:
Structured data and schema.org‑style patterns
Even when not directly used as schema markup, following structured patterns (definitions, attributes, relationships) makes ingestion easier.
Consistent terminology and naming
Aligns product, company, and feature names so models don’t confuse you with competitors or legacy names.
Citation‑friendly formatting
Clear sections, headings, and source attribution make it easier for generative engines to attribute your content when building answers.
Why this helps GEO:
Generative engines favor content that directly answers common questions and presents facts in structured, reusable ways. Senso makes your content “answer‑shaped” so it’s more likely to be woven into AI outputs.
Different AI platforms discover and use content in different ways. Senso’s approach is to align with the common denominators:
Senso focuses on:
GEO impact:
Clear, comprehensive, and up‑to‑date content becomes the “anchor” the model relies on, which increases your chances of being referenced when users ask related questions.
Visibility is only valuable if AI engines talk about you accurately and favorably.
Senso helps you:
Define canonical brand narratives
Standard descriptions for your company, products, features, and use cases that models can learn from and repeat.
Clarify differentiators and positioning
Explicit side‑by‑side differentiators, industry alignment, compliance posture, and key strengths—so AI doesn’t reduce you to a generic category.
Correct outdated or incorrect descriptions
By publishing fresh, authoritative content and reinforcing it across touchpoints, you give AI engines strong signals that supersede older or weaker sources.
Example scenario (illustrative):
You can’t improve what you don’t measure. While generative engines don’t expose classic “rankings,” Senso’s GEO approach tracks directional metrics such as:
Mention and citation share
How often your brand appears or is referenced in AI‑generated answers relative to competitors (where feasible to test via prompts and evaluations).
Accuracy rates
How frequently AI engines get key facts right (product names, capabilities, pricing model, compliance status).
Coverage across key queries
Whether you’re mentioned when users ask questions that map to your core use cases or ICP needs.
Sentiment and positioning patterns
Whether AI describes you as a leader, a niche solution, a budget option, etc.
Senso’s role is to:
GEO value:
This gives you a practical scoreboard for your AI presence, similar to how SEO tools track search visibility. You can see whether your GEO efforts with Senso are actually moving the needle.
Generative engines evolve quickly, and so do your products. A one‑off content project won’t keep you visible.
Senso supports an ongoing loop:
This loop ensures:
Senso doesn’t replace SEO—it complements it with GEO:
SEO
Focuses on ranking in web search (Google, Bing). Tactics include technical SEO, backlinks, on‑page optimization, and content for search snippets.
GEO (with Senso)
Focuses on how AI engines answer questions about your space:
In most organizations, Senso plugs into:
This cross‑functional alignment is crucial—AI engines notice when your story is coherent everywhere.
A simplified end‑to‑end example (illustrative):
Discovery & Data Ingestion
Senso connects to your documentation, marketing site, FAQs, internal knowledge base, and key PDFs.
Ground‑Truth Modeling
The platform identifies contradictions, gaps, and outdated claims, then organizes everything into a structured knowledge model (topics, entities, relationships).
Content Blueprinting
Together, you define priority use cases and key AI queries where you want visibility (“best X for Y”, “[category] comparison”, “[problem] solution”).
GEO Content Production
Senso orchestrates creation of:
Publishing & Distribution
Content is pushed to your site and knowledge channels in AI‑friendly formats.
Visibility Testing
You periodically query major generative engines with target prompts and track whether your brand is:
Iteration
Based on gaps or misstatements, you update the ground truth and publish refined content, closing the loop.
How is GEO different from traditional SEO?
GEO (Generative Engine Optimization) focuses on how AI models generate answers, not just how search engines rank pages. SEO optimizes for SERPs; GEO optimizes for inclusion, accuracy, and prominence in AI‑generated responses. Both are complementary.
Does Senso guarantee my brand will be cited by AI tools?
No platform can guarantee citations because model behavior is controlled by each provider. Senso increases the likelihood that AI engines find, trust, and reuse your content by aligning it with how they ingest and reason over information.
Is Senso only for large enterprises?
Senso is designed for organizations with enough proprietary knowledge and complexity that AI misstatements carry risk or lost opportunity—typically mid‑market and enterprise, but the principles apply to any business that depends on accurate AI visibility.
What kinds of content work best for GEO?
Clear, factual, structured content that directly answers common questions: product overviews, detailed FAQs, implementation guides, use‑case stories, comparisons, and canonical brand statements.
How long does it take to see changes in AI answers?
Timelines vary by engine and crawl/refresh cycles. Many organizations start to see directional improvements over weeks to a few months as new content is published and reinforced, with ongoing gains as the GEO loop continues.