Analysis
We analyse the website, entities, content, external sources, Brand Mentions and current AI visibility.
From analysis to implementation and measurement. Start with the whole system, then break the work into the smallest useful pieces.
Traditional SEO is still available when it is useful, but it is not the focus of this website.
You can browse our full Services catalogue exactly as it is, or tell us what you want to fix and we will narrow the list to the services that fit that problem.
Select one or more problems. You do not need to know the name of the service.
We will prioritise the smallest useful set instead of showing all 85 services at once.
This is a first-fit service map, not a diagnosis. The right scope depends on the website, market, existing signals and business priorities.
Every engagement can include four layers. You can buy the complete process or only the specific pieces your brand needs.
We analyse the website, entities, content, external sources, Brand Mentions and current AI visibility.
We turn the findings into a prioritised action plan with clear dependencies and next steps.
We execute the technical, semantic, content, visual and external-source work required by the strategy.
We monitor what changed, what improved and what should be done next.
Audits isolate the specific gaps that limit visibility, understanding, confirmation or measurement.
Checks whether your brand appears in AI-assisted discovery, comparison and recommendation journeys.
Reviews the signals AI systems use to understand your brand, offer, category and relevance.
Checks whether the website is technically and semantically ready to support AI Search visibility.
Reviews crawlability, rendering, accessibility tree, internal structure and machine access paths.
Checks whether existing pages explain the offer clearly, completely and consistently.
Maps where the brand appears outside its own domain and which important source types are missing.
Reviews mention volume, quality, context, diversity, recurrence and brand associations.
Checks whether company, brand, people, products, services and topics are clearly defined and connected.
Reviews entity relationships, disambiguation and the consistency of facts across owned and external sources.
Measures topic coverage, gaps, depth and the relationship between commercial and educational content.
Checks how clearly pages, headings, entities, concepts and internal links express meaning.
Reviews whether images, captions, diagrams and surrounding text support the same meaning as the page.
Maps the questions and sub-queries an AI system may use when researching a customer problem.
Checks how selected AI systems currently describe, compare, cite or omit your brand.
Strategy connects technical, semantic, content and external-source work into one customer-discovery system.
Defines how the brand should be understood, where it should appear and which signals need to be strengthened.
Plans the source types, contexts and brand associations needed for stronger external confirmation.
Defines the topic clusters and supporting content required to build depth around your commercial offer.
Plans how pages, entities, topics and internal links should work together as one information system.
Defines which entities matter, how they relate and where they need stronger factual support.
Plans consistent relationships between the company, brand, people, services, products and trusted sources.
Defines what content should exist, why it should exist and which customer or AI-search intent it should satisfy.
Plans where independent confirmation should come from and which source categories matter most.
Plans how reviews, profiles, publications and third-party references should support brand trust.
Defines the signals, baselines and reporting needed to judge whether AI Search and Brand Mentions work.
Maps the supporting searches, comparisons and verification questions behind a larger user query.
Designs a page hierarchy that makes services, topics and entities easier to navigate and interpret.
These services improve what AI systems can access, interpret and connect about your brand.
Implements technical changes that improve machine access, crawlability, structure and page interpretation.
Rebuilds the page hierarchy so offers, topics and supporting information form a clear structure.
Defines and connects the important entities that describe the brand and its commercial context.
Structures services and products as explicit entities with clear attributes, relationships and use cases.
Implements machine-readable structured data where it adds clarity and factual consistency.
Builds internal links that reinforce topic, entity and page relationships instead of linking pages randomly.
Builds connected groups of pages around the topics that define your brand's expertise and offer.
Organises page sections, headings and facts so the intended meaning is easier to extract.
Creates content that answers the supporting questions AI systems may investigate before forming an answer.
Creates concise factual sections that are easy to understand, compare and reuse in AI-assisted research.
Maps real customer questions to useful answers without turning the website into repetitive FAQ content.
Builds clear factual statements, definitions, comparisons and evidence that can be independently verified.
Improves the page structure for systems that browse, compare options or complete multi-step tasks.
Creates implementation-ready briefs for pages that need stronger entity, intent and topical coverage.
Images, diagrams and visual context are part of how a page communicates meaning.
Defines which visual assets are needed to reinforce entities, topics, products and services.
Plans images around the actual semantic role of each page instead of adding generic decoration.
Creates custom visual assets aligned with the page topic, brand and intended user understanding.
Creates visual explanations for workflows, relationships, comparisons and complex service concepts.
Improves filenames, alt text, captions and surrounding copy so visuals have clear context.
Aligns text and visual assets for search experiences that use images, screenshots or camera-based input.
Brand Mentions are not just links. They are independent contexts in which the market describes, associates and confirms your brand.
Distributes brand mentions across relevant external contexts while preserving core brand facts.
Identifies the external source categories that can add useful context and independent confirmation.
Builds a broader external footprint across selected source types relevant to the brand.
Develops independent editorial references where media coverage is appropriate and credible.
Builds topic-specific brand presence in publications connected with your market or expertise.
Improves consistent company, category and entity data across relevant third-party profiles.
Builds or analyses natural brand context in discussion environments where users talk about real problems.
Develops factual references through legitimate business relationships and partner contexts.
Strengthens repeated associations between the brand and the topics, services or categories that matter.
Improves whether external mentions connect the brand with the intended commercial and topical meaning.
Strengthens independent signals that support expertise, trust and brand legitimacy.
Aligns names, descriptions, categories and factual information across external sources.
Reduces dependence on one source category by expanding confirmation across multiple independent source types.
Develops repeated brand presence across relevant sources instead of relying on isolated one-off references.
Builds useful contextual mentions where a link is unnecessary and the brand reference itself has value.
Measurement closes the loop between strategy, implementation and the next decision.
Tracks where and how the brand appears across selected AI-assisted search journeys.
Tracks how AI systems describe, compare and position the brand over time.
Tracks visible source citations where platforms expose them.
Tracks new mentions, source types, context and distribution patterns.
Measures whether brand references repeat across multiple independent sources.
Tracks which topics, categories and services are repeatedly associated with the brand.
Checks whether key brand facts remain consistent across owned and external sources.
Compares visibility and source signals before and after implementation.
Summarises observed changes, completed actions, risks and recommended next steps.
Measures controlled changes to identify which actions produce meaningful visibility or confirmation signals.
Traditional SEO can still be part of the system. It comes last on this page because AI Search and Brand Mentions are the main focus here.
Reviews technical, on-page, content and authority issues affecting organic search performance.
Improves crawlability, indexing, performance, canonicalisation, redirects and other technical foundations.
Optimises page structure, headings, metadata, content relevance and internal signals.
Maps search demand, commercial relevance and query groups for traditional organic search.
Plans content around search demand, business priorities and topic coverage.
Builds relevant links where links remain useful for authority, discovery and organic search performance.
Creates search-focused landing pages, category copy, articles and supporting content.
Produces complete content assets from brief and research through writing, editing and publication-ready delivery.
Improves local visibility, business data consistency, local landing pages and location relevance.
Optimises category, product, faceted navigation and commercial content for organic search.