AIO Services

Search behaviour is changing. LLMs (ChatGPT, Gemini, Claude, Perplexity) are reshaping discovery. SEO ranks pages; AI engines surface entities. If your entity isn’t clear and reinforced, AI answers may omit you - even if you rank in Google.

Early AIO adoption provides a first-mover advantage while competitors are still SEO-only.

AI systems rely on structured data and entity recognition to understand and recommend businesses. We ensure your brand is consistently and accurately represented across AI platforms.

We focus on structured mentions, naming consistency, schema, and co-mentions so AI systems correctly identify your company, interpret services, and recommend you for relevant queries.

Different AI platforms have different algorithms and requirements. We optimise your presence across Google SGE, Perplexity, ChatGPT, Bing Copilot, and other emerging AI search platforms.

Our cross-platform approach ensures your brand maintains visibility and authority regardless of which AI tool your prospects use for research and discovery.

We create content in formats LLMs favour - clear headings, lists, tables, FAQs, and JSON-LD schema. This improves how models extract facts and associate your brand with priority topics.

Schema and structured data help AI agents interpret your organisation, services, locations, people, and proof. We implement FAQ/QAPage, Organization, Service, and other relevant types to increase extraction accuracy.

LLMs don’t rely on your site alone. They weight trusted external sources (media, directories, industry lists). We build co-mentions with competitors in authoritative contexts, improve topical fit in relevant categories, and diversify source types to increase entity salience.

We track AI answer presence, entity prominence, and citation context across engines using LLM Scout. It monitors which prompts surface your brand, how often you’re mentioned, and what sources are cited - giving clear before/after dashboards.

We also report referral traffic from AI engines and improvements in AI Overviews and generative answers.

Phase 1 (2-3 weeks): LLM visibility audit, prompt set design, entity gap analysis.

Phase 2 (4-6 weeks): Content & signal strategy, schema plan, third-party placement roadmap.

Phase 3 (ongoing): Execution, LLM Scout tracking, monthly visibility reports, and iteration as models evolve.

Beyond rankings, we measure AI recommendation frequency, answer share, and sentiment/context of mentions. LLM Scout highlights missed opportunities and sources to target for reinforcement.

AIO doesn’t replace SEO - it complements it. We align technical SEO, content, and entity signals so you win in search results and AI answers simultaneously.

We optimise coverage across ChatGPT, Perplexity, Bing Copilot, Google SGE/AI Overviews, and domain-specific engines where relevant - then verify results with LLM Scout.

Yes. B2B buyers use AI tools to shortlist vendors, compare capabilities, and validate expertise. AIO ensures your brand appears in those moment-of-research answers with the right proof points.