Technical review
Inspect crawlability, canonical URLs, redirects, sitemaps and page delivery. Separate observed problems from assumptions about why visibility has changed.
HanovaDevs / Discoverability
Be easier to find. Be easier to choose.
Technical foundations, clearer content and meaningful measurement. A practical approach to search visibility without ranking promises.

Start with the right problem
Discoverability starts with pages people and crawlers can understand. We review the site’s content, rendering, navigation and measurement setup, then prioritise changes according to the business context and the evidence available.
What comes together
The right result needs more than one isolated deliverable. These workstreams help shape a coherent engagement.
Inspect crawlability, canonical URLs, redirects, sitemaps and page delivery. Separate observed problems from assumptions about why visibility has changed.
Connect important pages to real audience questions. Improve headings, internal links and service explanations without producing repetitive keyword-led filler.
Use supported structured data that matches visible, factual page content. Clear company and product descriptions help machines interpret the site without inventing authority.
Agree the relevant events, consent handling and available search data. Explain what a metric means, how it was collected and what cannot yet be concluded.
What could we make together?
Find the kind of project you have in mind. These are possible engagement types; the brief decides the exact deliverables.
Find and prioritise observable crawl, URL and rendering issues.
URL inventory · Findings · Implementation backlog
Discuss this project typeConnect audience questions to focused, useful service explanations.
Intent mapping · Page briefs · Internal links
Discuss this project typePlan how important URLs and discovery signals move to the new experience.
Redirect mapping · Canonicals · Post-launch checks
Discuss this project typeDefine the actions that matter and how they can be measured.
Event definitions · Consent review · Reporting
Discuss this project typeMake company facts, answers and source relationships understandable.
Visible FAQs · Factual schema · Consistent entity information
Discuss this project typeReview available search data and prioritise the next useful change.
Baselines · Query/page context · Review notes
Discuss this project typeChoose the situation closest to yours to see how the work can begin.
Review a defined set of URLs and technical signals. Prioritise the findings by impact, dependencies and the team’s ability to act on them.
Make company, service and product information specific, connected and useful. Distinguish original expertise from unsupported claims.
Agree what counts as a meaningful enquiry or other action, how consent affects collection and what data is available for review.
10 familiar challenges / practical responses
See how we would approach the problem—and what we would check before calling the work complete.
Find the right level of help ↓Review indexability, rendering, internal links, sitemaps and the available search-console evidence for the affected URLs.
Check representative pages directly and distinguish discovery from actual indexing.
Map user intent to the most useful page and clarify titles, headings, content relationships and internal links.
Review query-to-page alignment using the data available.
Give each important page a distinct purpose, useful detail and a clear place in the site architecture.
Check that related pages answer different questions without competing through duplication.
Inventory important old URLs, map appropriate replacements and review redirects and canonical signals.
Test the agreed old URL list and inspect resulting pages and status codes.
Define meaningful actions and available lead-quality information before adding more dashboard metrics.
Document event definitions and compare recorded actions with the enquiry process.
Remove unsupported markup and align any retained schema with visible, factual information.
Validate the markup and compare every meaningful claim with the page.
Create a consistent source for approved company names, roles, contact information and product descriptions.
Review the site’s visible content and entity references for mismatches.
Inspect the delivered HTML and rendering path for the URLs that should expose useful public information.
Check content, metadata and crawlable links in the relevant rendered and initial responses.
Publish clear first-party facts, direct answers and connected references without inventing authority or review signals.
Check source consistency; AI systems still control their own answers and citations.
Explain definitions, time periods and limitations, then connect findings to a prioritised action list.
Separate implementation completion, observed change and uncertain attribution.

A scope that fits the situation
You may need an independent review, a defined build or a focused improvement. Start with the work that matters now, with responsibilities and boundaries agreed.
Talk through the options ↗For a site where the cause of friction is unclear.
For approved technical or content improvements.
For a team that needs a recurring decision process.
From the first conversation to delivery
Review points make decisions visible. Scope, dependencies and feedback responsibilities shape the delivery plan.
Review existing pages, tools, access and available search or audience data.
Explain observed issues and choose a practical implementation order.
Make approved technical, content and measurement changes.
Check the changes and report results in their actual time and measurement context.
Designed to be useful after delivery
Know what you own, what your team can change and who is responsible for the next update. The proposal sets out files, access, documentation and support.
Third-party fees and ongoing work are discussed separately.
Quality is part of the work
Keep structured data consistent with the content visitors can actually read.
Check the relevant rendering, URL and discovery behaviour.
Separate implementation completion, measured change and uncertain attribution.
See the thinking in practice
Explore the challenge, delivered interface and evidence behind the story. Each project has its own context and outcomes.
This site uses prerendered public pages, canonical URLs, a route-driven sitemap and factual company information. Those are implementation details—not a guarantee of a particular search or AI answer.
Explore the reference ↗In-house examples show an approach and its boundaries. Your scope and results will depend on your requirements and operating context.
Evidence instead of empty promises
A finished deliverable and a business result are different things. We agree what can be tested directly and what needs observation after release.
Record affected URLs, available search signals, event definitions and the review period.
Check response codes, rendering, internal links, metadata and factual structured information.
Monitor crawling, indexing, relevant search traffic and meaningful actions over time. No ranking or AI citation is guaranteed.
You do not need a perfect brief
A few useful inputs make the first conversation more specific. If something is missing, we can identify it together.
Share your brief ↗Use redacted examples where needed. Don’t send passwords or private customer records in an enquiry.
The services, locations or audiences that matter most, without a blanket target for every possible keyword.
Appropriate read access to available search-console and analytics properties. Do not share passwords.
Recent redesigns, URL changes, content changes and known technical constraints.
What counts as a useful enquiry or other outcome, and who can validate it.
Useful answers before we start
Have a question specific to your project? Tell us the context and we’ll discuss the next step.
Ask the team ↗Possible project types include technical seo audits, service-page content systems, website migration support, analytics & event foundations, aeo & entity clarity, search review programmes. We define the deliverables, dependencies and acceptance criteria in the proposal for your project.
No. Rankings depend on competition, relevance, search systems and many other factors. We can improve agreed foundations, measure available signals and report findings without promising a position.
Yes, through clear answer-oriented content, consistent company and product facts, useful internal structure and appropriate structured data. These practices do not control how an AI system chooses, cites or describes a company.
There is no universal timetable. Implementation can be checked directly, while crawling, indexing and changes in search performance happen on external systems and need observation over time.
That depends on the scope. Website code or publishing access, search-console data and analytics may be useful. Access should be granted narrowly and through appropriate accounts rather than shared passwords.
We review the requirements, integrations, available assets and review responsibilities before proposing a price and delivery plan. The website estimator is an illustrative planning tool, not a binding quotation or a promised delivery date.
The proposal defines source and design access, documentation, account ownership, licensing and any training or support. Third-party subscriptions, maintenance and future feature work are identified separately rather than assumed to be included.
Your next project starts with a conversation
Tell us what you need to improve, what you have already tried and what matters most.
Let’s discuss your project ↗