AI search optimisation
Make your content clearer, more credible, and easier to use.
SEOLinked improves the content, entity, evidence, and technical foundations that support organic discovery across search and AI-assisted experiences—without guaranteeing mentions, citations, or recommendations.
What the work improves
Strong organic foundations, adapted to new discovery surfaces.
AI search optimisation is not a secret markup trick. It is the disciplined improvement of information quality, identity, access, evidence, and measurement.
Content clarity
Direct answers, useful detail, coherent headings, definitions, comparisons, examples, limits, and next actions shaped around real information needs.
Entity consistency
Names, products, people, services, locations, relationships, and key facts aligned across the site and credible external sources.
Evidence and provenance
Visible sources, dates, authorship where appropriate, methodology, proof, updates, and claim boundaries people can inspect.
Technical accessibility
Stable crawlable URLs, server-rendered essentials, sensible directives, internal links, canonicals, sitemaps, performance, and structured data that matches visible content.
Coverage and usefulness
Content mapped to the questions, tasks, comparisons, objections, and decisions the audience actually brings.
Visibility monitoring
Repeatable query sets, cited domains, landing pages, referral evidence, crawl/index data, and qualitative review—labelled with the right limits.
Important boundary
Organic visibility and paid ChatGPT Ads are separate.
Buying advertising does not change ChatGPT’s independent answers. Organic optimisation cannot guarantee that a system will crawl, select, quote, cite, recommend, or rank a page. We keep the workstreams and claims separate, even when they share useful content and technical foundations. Read how our separate ChatGPT Ads management service works.
We avoid
- Guaranteed inclusion, rankings, citations, recommendations, or “AI authority” scores.
- Hidden content, crawler-only pages, invented experts, fabricated sources, or schema that does not match the page.
- Treating one prompt sample, referral string, or monitoring tool estimate as complete visibility evidence.
- Exposing private APIs, customer data, or internal documents merely to appear “AI-friendly.”
Delivery process
Start with questions and evidence, not a new acronym.
01
Define
Choose the audiences, markets, decisions, topics, entities, and representative query set worth monitoring.
02
Audit
Review technical access, content coverage, entity consistency, evidence, sources, structured data, and current observed visibility.
03
Prioritise
Separate shared SEO foundations from AI-specific content and monitoring opportunities, then rank by value and confidence.
04
Improve
Implement content, template, linking, schema, identity, performance, and evidence changes that make the site more useful.
05
Monitor
Repeat the query set and track observable changes while recording system, date, locale, account state, and sampling limits.
06
Learn
Connect organic search, referrals, visibility samples, content use, conversions, and qualitative evidence without collapsing them into one score.
Tangible deliverables
Evidence that can be inspected, repeated, and acted on.
Query and audience set
A defined, versioned sample of questions, tasks, markets, locales, systems, and observation conditions.
Technical and content audit
Page-level findings covering access, indexability, content coverage, entity consistency, evidence, sources, links, and structured data.
Entity and claim register
Important names, relationships, factual claims, supporting sources, owners, conflicts, and update requirements.
Prioritised implementation brief
Exact content, template, linking, schema, identity, and performance changes with rationale and acceptance checks.
Monitoring baseline
Dated observations across the agreed query set, cited sources, landing pages, referrals where available, and explicit sampling limits.
Progress report
Implemented changes, crawl/index evidence, organic search metrics, observed AI visibility, referrals, outcomes, and next decisions kept distinct.
AI search questions
What can and cannot be known.
Can you guarantee that ChatGPT or another AI system will cite us?
No. Selection and response generation are controlled by each system and can vary by query, time, locale, account, model, sources, and product changes. We improve useful foundations and monitor observable outcomes.
Is structured data enough?
No. Structured data can clarify certain facts when it matches visible content, but it does not guarantee crawling, indexing, rich results, AI inclusion, or citations. Content quality, access, identity, evidence, and wider reputation still matter.
How is this different from SEO?
The foundations overlap strongly. SEO services cover the shared technical, content, and authority foundations; AI-search work adds explicit attention to entity consistency, evidence presentation, question coverage, system-specific observation, and how visibility is sampled. We keep conventional search metrics and AI observations separate.
How do you measure progress?
We define a repeatable query set and record what is observed, where, and when. We combine that with technical crawl/index evidence, search performance, landing-page use, referrals where identifiable, and business outcomes—without claiming complete platform visibility.
Make your expertise easier to understand and verify.
Share the topics, audiences, markets, current site, and visibility questions. We will define a defensible audit and improvement scope.