AI SEO Services
AI SEO Services That Build Lasting Visibility
Technical foundations, topical authority, and generative engine optimization — a complete AI SEO service for B2B.
Get an AI SEO AssessmentThe Full Stack of AI SEO — Not a Single Tactic
Most companies approaching AI SEO focus on a single tactic — usually "make content longer" or "add FAQ schema." These tactics help at the margin. Sustainable AI search visibility requires the complete stack: technical foundations that AI engines can crawl and trust, topical authority content that earns citations, entity signals that tell AI engines who you are and what you're an expert in, and citation-building that establishes your brand as a reference in your category.
Stefka's AI SEO services cover every layer of this stack — not as separate products, but as an integrated programme where each element strengthens the others. Technical health enables content to be discovered. Comprehensive content earns citations. Entity clarity prevents misattribution. Citation patterns compound over time. The programme compounds because each element builds on the others.
For B2B companies specifically, AI SEO services are becoming a strategic priority as the percentage of buyer research happening on AI platforms grows. The companies building AI search visibility today are establishing citation patterns that will compound for years — creating a durable competitive advantage that late movers will find increasingly difficult to close.
What AI SEO Services Actually Cover
AI SEO services is a broad term that different providers use to mean different things. For Stefka, it means a specific set of interconnected services that together build durable AI search visibility:
Technical AI readiness — ensuring your site can be efficiently crawled and understood by AI retrieval systems. This includes structured data markup, llms.txt configuration, content formatting for AI parseability, and Core Web Vitals performance that affects both traditional and AI search crawl priority.
Entity and knowledge graph optimisation — making sure AI engines have clear, consistent, and accurate information about your brand. When an AI engine encounters your company name, it should have unambiguous clarity about who you are, what category you're in, and what you're an expert on. Inconsistent entity signals lead to inaccurate or absent AI citations.
Topical authority content — the comprehensive, structured content that AI engines cite. This isn't thin FAQ content — it's the deep, expert-level content that directly and completely answers the questions your buyers ask AI. Pillar pages, comparison guides, definition pages, and Q&A content structured for AI retrieval.
Citation and authority building — earning mentions in the publications, directories, and sources that AI engines treat as authoritative in your category. This creates the citation ecosystem that signals trustworthiness and expertise to AI retrieval systems.
AI SEO vs. Traditional SEO: A Complementary Relationship
Traditional SEO and AI SEO share a foundation — technical health, E-E-A-T signals, and content authority matter for both. Where they diverge is in the specific optimisation targets: traditional SEO optimises for algorithmic ranking signals; AI SEO optimises for the patterns that trigger AI citation. The best programmes treat them as complementary layers — traditional SEO as the foundation, AI SEO as the amplification layer on top.
Find out where you stand in AI search visibility today.
Get Your AI SEO Assessment
Our AI SEO Service Stack
AI Visibility Audit
Baseline measurement of your current AI citation frequency across ChatGPT, Perplexity, Google AI Overviews, and Bing Copilot. Competitive benchmarking to quantify the gap and prioritise programme scope.
Technical AI Readiness
Structured data implementation, llms.txt configuration, content formatting for AI parseability, and technical SEO foundations that AI engines rely on. Audit + implementation, not just recommendations.
Entity Optimisation
Knowledge graph and entity signal audit, Wikidata and Wikipedia presence review, schema.org markup for brand entities, and consistent brand description optimisation across your digital presence.
AEO Content Production
Answer engine-optimised content: comprehensive pillar pages, structured Q&A content, comparison guides, and definition pages — directly answering the questions your buyers ask AI in formats AI engines are most likely to cite.
Citation Building
Targeted outreach to earn mentions in authoritative publications, directories, and industry resources that AI engines weight highly. Quality and relevance over volume — AI citation building requires different source selection than traditional link building.
Share-of-Model Reporting
Monthly AI citation tracking across platforms and query sets. Track your brand's citation frequency, accuracy, and competitive position over time. The measurement layer that makes the programme accountable.
Our AI SEO Programme Process
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AI Visibility Audit
We establish your current AI citation baseline: how often does your brand appear in AI responses to your target queries? We run systematic prompting across platforms, identify the query types where you're absent, and benchmark against competitors who are winning citation share you should be capturing.
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Technical Foundation
We implement the technical signals that AI engines rely on: structured data markup for brand and content entities, llms.txt to guide AI crawlers, content formatting improvements (clear headings, structured answers, concise definitions), and Core Web Vitals optimisation. Technical quality affects AI crawl priority and content trustworthiness signals.
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Entity & Content
Entity signal optimisation ensures AI engines have unambiguous clarity about your brand. AEO content production builds the comprehensive, structured content that AI engines cite: pillar pages, Q&A content aligned to actual AI query patterns, comparison guides, and definition pages that establish topical authority.
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Citation Building
We execute targeted citation outreach — earning mentions in publications, directories, and industry resources that AI engines treat as authoritative in your category. This is different from traditional link building: source relevance and authority type matter more than domain authority metrics.
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Track & Compound
Monthly share-of-model reporting tracks citation frequency changes, identifies new query opportunities, and guides the ongoing content and citation agenda. The programme compounds: each improvement builds on the last, and citation patterns strengthen as AI engines encounter your brand as a trusted source with increasing frequency.
Start building AI search visibility before your competitors establish the lead.
Get Your AI SEO AssessmentWhy B2B Companies Choose Stefka for AI SEO Services
Full-Stack Approach
Technical, entity, content, and citation — all four layers covered in one integrated programme. No single-tactic solutions that address one layer while ignoring the others.
Proven Methodology
AI SEO methodology built from real data across B2B programmes — not theoretical frameworks. We know what moves the citation needle and what doesn't, because we've tested it.
B2B Industry Focus
Deep expertise in B2B technology categories — the query patterns, the authoritative sources, and the content formats that earn AI citation in SaaS, fintech, HR tech, and enterprise software markets.
Multi-Platform Tracking
Citation tracking across ChatGPT, Perplexity, Google AI Overviews, Bing Copilot, and emerging platforms. No single-platform blind spots that leave you with an incomplete picture of your AI visibility.
Integrated with Traditional SEO
AI SEO built on and alongside your existing SEO programme — not as a replacement. We enhance what's already working and extend it for the AI search era.
Transparent Measurement
Monthly share-of-model reports with clear citation frequency data. You see exactly what's improving, what's not, and what the programme is doing to drive further improvement.
Frequently Asked Questions
What AI SEO services does Stefka offer?
Our AI SEO services cover: technical SEO audit and remediation (structured data, entity markup, indexability, Core Web Vitals), AI search visibility audit (current citation share across ChatGPT, Perplexity, and Google AI), content strategy and production (topical authority mapping, pillar content, comparison pages), GEO optimisation (entity signals, knowledge graph, citation pattern analysis), and ongoing monitoring and reporting (monthly citation tracking and content performance analysis).
Can Stefka's AI SEO services work alongside an existing SEO agency?
Yes — AI SEO is a specialist discipline that complements traditional SEO rather than replacing it. Many companies work with a traditional SEO agency for core rankings and bring in Stefka specifically for AI search visibility. We can operate as a specialist layer on top of existing SEO work, focusing on the GEO and AI-specific elements that most traditional SEO agencies don't yet cover well.
How do AI SEO services differ from traditional SEO services?
Traditional SEO services focus on keyword rankings, backlinks, and technical optimisation for Google's algorithmic ranking system. AI SEO services focus on the signals that generative AI systems use to decide which sources to cite — topical depth and comprehensiveness, entity clarity and knowledge graph presence, structured data markup, and authoritative, well-sourced content that AI models treat as trustworthy. The two disciplines share some foundations but diverge significantly in tactics and measurement.
How quickly do AI SEO services show results?
Initial AI citation improvements are typically measurable within 60–90 days of implementing entity optimisation and publishing structured Q&A content. Sustained share-of-model growth develops over 6–12 months as citation patterns strengthen. Like traditional SEO, AI SEO is a compounding investment: early improvements build the foundation for accelerating returns as the citation signal grows.
Do you provide AI SEO services for specific industries?
Yes — we specialise in B2B technology verticals: SaaS, fintech, HR tech, marketing technology, and enterprise software. AI search visibility in B2B requires deep understanding of the questions your buyers ask AI, the category vocabulary your industry uses, and the publications and sources your AI engines treat as authoritative. Our industry-specific expertise means we understand these nuances for your market.
What does an AI SEO service engagement look like?
Most AI SEO engagements start with a 4-week audit and strategy phase: AI visibility baseline measurement, technical SEO assessment, content gap analysis, and entity signal audit. This produces a prioritised programme roadmap. Ongoing work runs on a monthly retainer covering content production, technical implementation, citation-building outreach, and monthly share-of-model reporting. Engagements typically run 6–12+ months to achieve meaningful, sustained AI visibility improvements.
Complete AI SEO Services — Technical, Content, and Citation
Full-stack approach. B2B specialist. Compounding visibility over time.
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