Recommendations Can Disappear
AI answers and search features change. Confirm the pattern across a relevant set of questions and dates before treating one missing answer as a lasting loss.
AI VISIBILITY RECOVERY
Find out what changed before you chase a fix. We investigate visibility declines across search and AI experiences, then build a practical recovery plan around the evidence.
THE DIAGNOSIS
A citation drop is a signal to investigate, not a complete diagnosis. Recovery work checks the technical, content and source conditions that may influence visibility before recommending changes.
AI answers and search features change. Confirm the pattern across a relevant set of questions and dates before treating one missing answer as a lasting loss.
Being cited, being recommended and being selected are different outcomes. Track them separately so the work addresses the right problem.
Access, indexing, page quality and clear information can influence traditional search and AI discovery alike.
A visibility change matters in context. Connect it to the questions, pages and customer journeys that support your business.
THE MANAGED RECOVERY PROCESS
The sequence adapts to the evidence. Each step creates a clear decision point before the next round of implementation.
Set a baseline across agreed engines, prompts, dates and geographic or audience context.
Separate technical access, content clarity, source coverage and competitive movement.
Review crawl, indexing, rendering and page structure for issues that limit discovery.
Make the organisation, offer and expertise easier to distinguish and verify.
Prioritise credible sources and useful authority signals relevant to the category.
Review agreed indicators by engine and refine the work using observed evidence.
THE ENGAGEMENT
The scope is agreed for the problem being investigated and the people who need to act on the findings.
A dated reference set of questions, search experiences and observed changes.
A focused review of access, indexability, rendering and page extraction.
Recommended updates to page usefulness, answer clarity and brand context.
A practical review of sources and evidence relevant to the affected topic set.
Actions ordered by impact, effort, ownership and the evidence available.
A repeatable view of the indicators agreed for the engagement.
A PRACTICAL RECOVERY PROGRAMME
A clear baseline, focused diagnosis and owned implementation plan connect visibility observations to technical, content and authority improvements.
Research · Improve · Measure
THE WORK IN PRACTICE
A clear baseline, focused diagnosis and owned implementation plan connect visibility observations to technical, content and authority improvements.
Explore the Talenteam storyCHOOSING THE RIGHT LEVEL OF SUPPORT
A report helps identify possibilities. A managed engagement adds prioritisation, implementation coordination and repeat measurement.
DIAGNOSTIC
END-TO-END
WHO IT IS FOR
Teams that have seen a meaningful organic change and need to isolate what moved.
Organisations that want to verify answer visibility patterns across a relevant prompt set.
Teams looking for a category and source review tied to real buyer questions.
Businesses that need a clear, sustainable route to improve technical and content quality.
Teams that need to separate changes across Google, assistants and AI search products.
Organisations that want recommendations connected to clear owners and next steps.
COMMON QUESTIONS
No. Search and answer systems change, and third-party outputs cannot be guaranteed. We focus on diagnosing conditions you can influence and measuring what can be observed.
We establish an agreed set of pages, queries, engines and dates, then look for repeatable patterns before deciding on a cause.
The engagement can include implementation coordination and agreed execution. Scope and ownership are set with your team at the outset.
READY TO TAKE THE NEXT STEP?
Start with the pages, engines and buyer questions that matter to your business.