SEO & AI VISIBILITY
Most SEO audits end as a document waiting for a free developer. Here that is only the first step. We find what is actually holding your visibility back, implement the fixes ourselves, write and publish the missing service pages, then check in the data what started working — so we can keep building on it.
First we establish whether search engines can even find, understand and correctly index your most important pages. If something is wrong here, the rest of the content work goes unnoticed.
We check crawl paths, indexed URLs, sitemap and robots.txt, canonical URLs, hreflang, redirects, duplicate pages and Core Web Vitals. Often the page you rely on most is sending contradictory signals — or is not indexed at all.
We compare Search Console data, non-brand queries, landing-page performance and competitor visibility to see what customers actually search for. Then we review metadata, internal linking, architecture — and the pages you simply do not have yet.
We check whether search engines and AI systems can tell what your company is, what it offers and where it genuinely has expertise. If a machine cannot work that out, you appear in neither results nor answers.
For us the audit is not the deliverable but a prioritized work list we then carry out: redirects, canonical and hreflang, sitemap and robots.txt, structured data, metadata, internal linking, page architecture, performance, commercial service and landing pages, CMS content and frontend fixes. You do not have to find a separate developer to turn recommendations into real changes.
Choose this when it is not yet clear what limits your visibility in Google and AI systems. You get a technical audit, Search Console review, search-intent and content review, competitor gaps, an AI visibility check and a roadmap in priority order. Next step: Audit my website.
Choose this when the audit exists or the problems are known, but nobody is implementing them. We take over the technical work: metadata, redirects, canonical and hreflang, sitemap, internal linking, structured data and the missing commercial pages. Next step: Fix the SEO issues.
Choose this when the technical foundation is in place and you want visibility to keep growing. Ongoing Search Console analysis, new query and content opportunities, technical monitoring, new landing pages, competitor review and implementation. Next step: Discuss ongoing growth.
The audit is where the work starts, not where it ends. Findings are ordered by impact, implemented, deployed and then checked against real search data — not against assumptions.
We find the technical, content and entity signals limiting your visibility in Google and AI systems — and tell you which of them cost the most.
We agree the order of work, make the technical and content changes and deploy them through your existing website or CMS. Implementation does not get handed back to your team.
Search Console and site data show indexation, impressions, clicks, CTR, queries, landing pages, rankings and technical regressions — so you can see what actually changed.
We strengthen the pages that are gaining traction, expand the promising topics, improve internal links and conversion paths, refresh weak content and catch new technical issues early.
After implementation we look at the data together: what improved, where visibility is growing and which opportunity is worth taking next.
You see impressions, clicks, CTR, queries, landing pages, non-brand visibility and ranking movement. We report them as they are — no promises layered on top of the data.
We track indexed URLs, crawl and index issues, Core Web Vitals, technical regressions and new canonical, redirect or sitemap problems before they start costing you.
We watch which content is decaying, what competitors change, how conversions move and what AI visibility signals show — where they can be measured responsibly.
AI visibility means how clearly search engines and AI systems understand what your company is, what it does and where it genuinely has expertise. It is strengthened by clear brand and entity positioning, differentiation from similarly named companies, a legible service structure, connected topics, useful original content, FAQs, examples, structured data, internal linking, credibility signals, direct answers to customer questions and technically accessible pages. And the other half, said plainly: GEO, Generative Engine Optimization and AEO are terms, not a promise of AI citations, ChatGPT mentions or AI Overview placement.
Sound familiar? The site opens with and without www, old URLs are still alive, the contact page exists in two versions and the language URLs are inconsistent. Work: sort out redirects, canonical URLs, sitemap and hreflang, consolidate duplicates and check Search Console signals. Expected direction: a cleaner index and clear signals about which page is the real one.
Sound familiar? The people who find you in Google already know the company name; the ones searching for the service itself do not. Work: research non-brand queries, create the missing commercial service pages and fix content architecture, internal links, metadata and supporting content. Expected direction: you start appearing where the buyer has not yet chosen a supplier by name.
Sound familiar? The audit is paid for, the recommendations are known, and implementation has been queued for months. Work: check which recommendations still apply, order them by impact, implement the technical changes, update pages, deploy and follow the result. Expected direction: the document finally becomes real website improvements.
Sound familiar? The website is there, but neither search engines nor AI systems can tell what exactly the company does. Work: clarify brand and entities, service architecture, topical content, FAQs, examples, structured information and internal links. Expected direction: a clearer picture of the company and its expertise.
Yes, if that is what you need — you get a clear work list in priority order. But the usual loop here is audit, implementation, monitoring and improvement, because implementation is exactly where SEO work normally stalls.
Yes, and it is a common starting point. We first check which recommendations still match the current website, search data and business priorities, drop the outdated ones and put the rest into an implementation sequence.
Clearer brand and service positioning, useful topic coverage, direct answers to customer questions, internal linking, structured information and technically accessible pages. It improves the odds that AI systems describe you correctly, but it guarantees no citation or placement in any AI product — and we will not pretend otherwise.
Depending on access and scope: Search Console queries, impressions, clicks, CTR, landing pages, indexed URLs, crawl issues, non-brand visibility, rankings, technical regressions and conversion paths. We agree which of them matter most to you at the start.
No — and treat anyone who does with caution. Search performance depends on the market, competition, website history, implementation quality and external systems. We make and monitor evidence-based improvements and show you honestly what the data says, but we promise no specific positions, traffic, leads or revenue.
Bring one messy process. We will tell you where it breaks, what it costs and what we would fix first — even if you then decide to do it without us.