Grow organic visibility across search engines and AI discovery platforms.
Drive qualified traffic, leads, and revenue with AI-driven paid media strategies.
Build high‑performing websites and conversion experiences that drive results.
Use AI and automation to streamline marketing workflows, improve consistency, and move faster.
See how your site performs in search and AI visibility.
View Now →Strategic solutions aligned to your business goals and growth objectives.
Talk to a strategist to find the best path for your goals.
Book a Discovery Call →Actionable insights, guides, and tools to help you grow.
Learn how to increase your brand's visibility in AI search.
Download Kit →Learn about Silverback Marketing and what makes us different.
Let's start a conversation. We're here to help you grow.
We help brands improve their visibility across AI-powered search and discovery platforms. By analyzing where your brand appears, where competitors are being cited, and how AI systems interpret your business, we uncover opportunities across content, entities, schema, AI readiness files, and authority signals.
AI systems do not simply rank pages. They summarize, compare, recommend, and cite sources. If your brand lacks clear entity signals, answer-ready content, structured data, third-party authority, or AI-readable files, AI systems may ignore you, misrepresent you, or cite competitors instead.
Can AI systems extract and cite clear answers from your content?
Whether AI systems can pull clean, accurate, quotable answers from your pages — or whether your content is too unstructured, too vague, or too buried to be useful as a citation source.
Does AI understand who you are, what you offer, and how your brand relates to key topics?
How clearly your brand, products, people, and services are defined as distinct entities — the kind of structured identity that lets AI systems confidently name and describe you without confusion.
Are your pages structured around the questions buyers actually ask?
Whether your content is organized to directly answer real buyer questions — with clear headings, direct responses, and logical structure that AI systems can extract without rewriting your page for you.
Do third-party references, authors, reviews, leadership, and platform profiles support trust?
The external trust layer that AI systems use to validate your credibility — mentions, citations, author profiles, reviews, and cross-platform presence that tell AI your brand deserves to be referenced.
Do you provide AI systems with root-level files that explain your site, entities, topics, and policies?
The technical layer of AI readiness — llms.txt, ai.txt, structured entity files, and machine-readable content that let AI crawlers understand your site's purpose, scope, and authority on first contact.
Are you visible across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, and Bing Copilot?
Whether your brand actually appears when buyers use AI platforms to research your category, compare solutions, or ask the questions your ideal customers are already asking right now.
The bottom line
We make websites easier for search engines and AI systems to crawl, understand, trust, cite, and summarize. Every engagement closes these six gaps systematically.
Get an AI readiness auditLive platform coverage check
Silverback's AI Visibility audits evaluate the content, technical, authority, and platform signals that influence whether a brand appears in AI-generated answers. The goal is not just more visibility. It is accurate representation, stronger citations, and clearer paths from AI discovery to your website.
Answer-first content, quotable passages, FAQs, source clarity, and extractable statistics that AI systems can pull and cite accurately.
Wikipedia, Wikidata, third-party references, press links, reviews, social profiles, and entity validation that establish your brand as a credible source.
Named authors, credentials, original research, case studies, trust signals, and content freshness that demonstrate experience, expertise, authoritativeness, and trustworthiness.
Crawler access, rendering, robots.txt, llms.txt, indexable content, performance, and security signals that determine whether AI systems can even reach and read your content.
Organization, Person, FAQPage, Article, Product, Review, Breadcrumb, VideoObject, and other JSON-LD opportunities that make your content machine-readable for AI systems.
ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, Bing Copilot, YouTube, Reddit, LinkedIn, and other platform-specific visibility signals that expand your AI citation footprint.
Silverback creates custom AI Visibility and GEO reports that show where your brand appears, where competitors are being cited instead, what signals are missing, and which fixes are most likely to improve AI search visibility.
A full diagnostic review of how your brand is structured for AI discovery, answerability, citability, and platform readiness.
A side-by-side comparison of your brand against direct competitors across AI visibility, authority, schema, content, technical signals, and platform optimization.
A prompt-by-prompt view of which competitors are being cited instead of you and why.
A report that audits machine-readable entity signals, JSON-LD coverage, template-level schema gaps, and implementation-ready structured data fixes.
A prioritized action plan covering schema, content, AI readiness files, authority signals, platform gaps, and technical fixes.
A leadership-ready summary of what changed, why it matters, and what to do next.
AI visibility depends on more than visible content. AI systems also rely on structured data, entity relationships, schema coverage, authorship signals, FAQs, breadcrumbs, products, services, articles, reviews, and organization data to interpret a website accurately. Silverback's Schema & Structured Data Reports identify what machine-readable signals are missing, which templates need JSON-LD, and how to implement schema in a way that supports search visibility, AI citation readiness, and entity clarity.
Organization, sameAs, knowsAbout, contactPoint, logo, brand, and service relationships that establish your brand as a clear, resolvable entity for AI systems.
Program, product, service, destination, article, FAQ, breadcrumb, and collection page markup applied systematically across every template type on your site.
Structured answers, author attribution, source clarity, content freshness, and schema types that help AI systems extract reliable, citable information from your pages.
JSON-LD examples, validation steps, template mapping, and QA requirements. Everything your development team needs to implement schema without ambiguity.
AI visibility is not only about content. It also depends on whether AI systems can access, interpret, and route users to the right information. Silverback's AI Readiness Kit helps structure the files and signals AI systems use to understand your brand, site architecture, entities, policies, and priority content.
Five steps that move your brand from invisible to cited. Each phase builds on the last, from understanding where you stand today to systematically improving how AI systems find, understand, and reference your brand.
Run priority prompts across AI platforms to see where your brand appears, how it is represented, and which competitors are cited instead. This is your baseline reality check.
Identify whether visibility gaps are caused by missing content, weak authority signals, poor answerability, schema gaps, or platform-specific issues — so fixes target root causes, not symptoms.
Review crawler access, llms.txt, ai.txt, AI readiness files, structured data, markdown access, and machine-readable content. Identify the technical barriers preventing AI systems from reading your site.
Recommend content, schema, entity, author, review, press, and platform improvements that make your brand easier to cite. Each fix is prioritized by impact and implementation effort.
Track visibility, citations, platform performance, and score movement over time. Re-run the same prompts monthly to measure what improved, what needs more work, and where new opportunities emerged.
Test priority buyer, brand, comparison, and category prompts across major AI platforms.
Document where competitors are cited instead, why they win, and what signal is missing.
Evaluate brand clarity, third-party references, authorship, reviews, Wikipedia/Wikidata, LinkedIn, YouTube, Reddit, and press validation.
Review robots.txt, llms.txt, ai.txt, ai-sitemap.xml, structured data, markdown files, RAG indexes, and crawler access.
Recommend content, FAQ, schema, source citation, and page-structure updates that improve AI extraction.
Deliver a prioritized roadmap, then re-test visibility and citation patterns over time.
A complete AI Visibility engagement connects prompt testing, citation gap analysis, schema intelligence, AI readiness files, authority signals, content answerability, competitive benchmarking, and performance reporting so your team knows what to fix, build, and measure next.
Know how your brand appears across major AI discovery platforms.
Platform visibility
See where competitors are cited instead and what causes the gap.
Citation gap matrix
Get a clear action plan across content, schema, authority, and technical readiness.
Priority actions
Help AI systems describe your services, expertise, and differentiators more accurately.
AI answer preview
Make priority pages easier for AI systems to summarize, cite, and recommend.
Extractable answer block
[Brand] provides [service category] for [audience], including [capability 1], [capability 2], and [capability 3].
Track AI visibility changes across prompts, platforms, and competitive sets.
Score movement
Sample report outputs from anonymized client work. Each engagement delivers structured findings, score movement, citation gap analysis, and a prioritized action plan.
Score moved from 66 to 94 over a 65-day audit cycle, with major gains in schema, brand authority, technical GEO, and platform optimization.
Competitive benchmark showed leadership on AI citability, content E-E-A-T, technical GEO, and schema, while platform gaps like Wikipedia/Wikidata, YouTube, and Reddit suppressed the overall score.
Schema audit identified weak machine-readable entity signals, missing JSON-LD, template-level schema opportunities, and developer-ready implementation fixes.
Prompt testing and citation gap analysis showed which brands were cited instead, what gap type caused the miss, and the fastest fix for each query.
AI Visibility works best when connected to SEO/GEO strategy, content planning, technical SEO, and executive reporting. These supporting services help turn AI visibility findings into implementation and measurement.
Connect AI visibility findings back into broader organic search strategy. Ensure what you fix for AI also strengthens traditional search performance and topic authority.
Explore SEO / GEOBuild answer-ready content around buyer questions, comparison queries, and topical authority. Turn AI visibility gaps into a structured content plan that feeds both search and AI systems.
Explore Content StrategyResolve crawlability, rendering, schema, and site structure issues that limit AI interpretation. Implement the technical fixes that AI visibility audits surface as highest priority.
Explore Technical SEOTurn search and AI visibility data into ongoing executive-ready insights. Track what changed, what improved, and where to focus next, across both traditional and AI search performance.
Explore SEO/GEO ReportingAI Visibility does not work in isolation. The findings from an AI visibility audit feed directly into SEO strategy, content planning, technical implementation, and reporting, creating a connected program that improves across every search surface.
Silverback can audit your AI visibility, benchmark your competitors, identify citation gaps, and build a prioritized roadmap to improve how your brand appears across AI-powered discovery platforms.
