Service 01 · Service
Find out what is actually stopping your growth.
- Timeline
- 2–4 weeks depending on site size and data availability
- Starting from
- From $1,500
- Shape
- Fixed scope, fixed price, one working session included
- Deliverables
- 8 items
The problem
You know performance is wrong. You do not know why.
You probably recognise some of these
- Your agency reports rankings; your CFO asks about revenue.
- Traffic and leads have stopped moving together.
- Different tools give different numbers and nobody knows which to trust.
- You have a long list of SEO recommendations and no idea which two matter.
- A previous project “fixed SEO” and nothing changed.
Who needs this
Is this for you?
- Companies with 100+ important pages where mistakes get expensive
- Marketing leaders who inherited a website they did not build
- Teams whose organic performance changed and cannot explain it
- Companies about to invest in a redesign, migration or content programme
- Businesses that want a second opinion on an existing agency or in-house plan
Why it happens
What usually causes it
- Nobody owns the whole system — SEO, analytics, engineering and content each see one slice.
- Data lives in five tools that were never reconciled against each other.
- Technical decisions were made without knowing which URLs carry the revenue.
- Tracking was set up once, then changed by people who did not know what depended on it.
- The site grew faster than its architecture.
Scope, in detail
What exactly we check
Business layer
- What the company sells and what is worth the most
- Lead and customer definitions
- Sales cycle and decision makers
- Markets that actually matter
- What changed recently
Search layer
- Search Console clicks, impressions, position by page and query
- Query intent mix — brand, commercial, informational
- Page-level winners and losers over time
- Coverage and indexing reports
- Competitor visibility on commercial queries
Technical layer
- Full crawl: status codes, redirects, canonicals, robots, sitemap
- Rendering — HTML response versus rendered DOM
- Internal link graph and orphan pages
- Pagination, parameters and faceted navigation
- Core Web Vitals field and lab data
- Structured data validity
Content & conversion layer
- Commercial page coverage against real demand
- Thin, duplicated and cannibalising pages
- Landing page to conversion paths
- Form and checkout friction
- Traffic quality by landing page
Measurement layer
- GA4 configuration, events and conversions
- GTM container review and duplicate firing
- Consent handling and its effect on reported numbers
- Cross-domain and UTM governance
- GA4 versus CRM reconciliation
AI search layer
- Fixed prompt set run across available AI search surfaces
- Brand mention, recommendation and citation status
- Which sources those systems used instead of you
- Factual accuracy of what is said about your company
- Entity clarity on your own site
Deliverables
What you actually receive
- Prioritised problem list — every item with evidence, business impact and an owner
- The evidence pack: crawl exports, GSC and GA4 analysis, screenshots, query data
- Root-cause analysis, not a symptom list
- Exact action items written so a developer can act on them
- Priority scoring (P0–P3) with an impact-versus-effort view
- Measurement plan — how we will know each fix worked
- 90-day roadmap sequenced by dependency, not by wishlist
- A working session to walk your team through it and answer questions
Process
How the work runs
Discovery
A 60–90 minute session on the business first: what you sell, what is worth the most, where leads come from, what changed recently, and what would make this project a success.
- Business model
- Lead definition
- Recent changes
- Success criteria
Access and data collection
We request read access to the systems we need and nothing more, then pull the crawl, search, analytics and CRM data into one place.
- GSC
- GA4
- GTM
- Crawl
- CRM export
Analysis across eight layers
Business, search, website, technical, content, conversion, measurement and AI search — analysed together, because most real problems live between two systems.
- Cross-system analysis
- Pattern detection
- Competitor comparison
Evidence and root cause
Every finding gets tied to data we can show you. If the data does not support a conclusion, we say so and tell you what we would need to confirm it.
- No-guessing rule
- Human review of every conclusion
Prioritisation
Findings are scored on business impact, confidence and implementation effort, then sequenced so dependencies come first.
- P0–P3
- Impact vs effort
- Dependency order
Delivery and working session
You get the report, the evidence pack and the roadmap, plus a live session where we walk your team through it in plain language.
- Report
- Evidence pack
- 90-day plan
- Q&A
What we need from you
Access and data
- Google Search Console (read access, all relevant properties)
- GA4 and Google Tag Manager (read access)
- Website — production URL; staging if a rebuild is in progress
- CRM export or a lead/revenue summary, where available
- Google Ads and Meta, if paid traffic matters to the question
- Existing crawler, keyword or backlink exports if you already have them
- Your competitor list, and the products or markets that matter most
Measurement
What results can be measured
- Non-brand organic clicks and impressions on commercial queries
- Indexed valuable pages versus total pages
- Organic conversions and qualified leads, reconciled against CRM
- Revenue or pipeline per landing page
- Tracking accuracy — the gap between GA4 and CRM
- Core Web Vitals on the templates that carry traffic
- AI search mention, recommendation and citation rate on a fixed prompt set
Afterwards
What happens when the project ends
Why trust us
How we keep ourselves honest
- Every finding carries the evidence it came from — you can check our work.
- We write “we do not have enough evidence to confirm this” when that is the truth.
- Fixed scope and fixed price. You know what you get before we start.
- No ranking guarantees, no AI visibility guarantees, no vanity metrics.
- If we do not think we can help, we say so before you pay.
Honest limitations
What this service will not do
Quick answers
Growth Diagnostic in nine questions
- What is this service?
- Find the highest-value problems stopping growth, with the evidence behind each one.
- Who is it for?
- Companies with 100+ important pages where mistakes get expensive; Marketing leaders who inherited a website they did not build; Teams whose organic performance changed and cannot explain it; Companies about to invest in a redesign, migration or content programme; Businesses that want a second opinion on an existing agency or in-house plan.
- What problem does it solve?
- You know performance is wrong. You do not know why.
- What do you check?
- 6 areas covering business layer, search layer, technical layer, content & conversion layer, measurement layer, ai search layer.
- What do you deliver?
- Prioritised problem list — every item with evidence, business impact and an owner; The evidence pack: crawl exports, GSC and GA4 analysis, screenshots, query data; Root-cause analysis, not a symptom list; Exact action items written so a developer can act on them; Priority scoring (P0–P3) with an impact-versus-effort view; Measurement plan — how we will know each fix worked; 90-day roadmap sequenced by dependency, not by wishlist; A working session to walk your team through it and answer questions.
- How long does it take?
- 2–4 weeks depending on site size and data availability
- How much does it cost?
- From $1,500. Fixed scope, fixed price, one working session included.
- What access is needed?
- Read access to GSC, GA4 and GTM; the website; CRM data where available
- What happens after?
- You own the report and the plan, whether or not we do the work. If you want us to implement, the diagnostic becomes the scope for that project and its cost is credited against it. If you want your own team or your existing agency to implement, the action items are written to be handed over directly.
Questions
Questions about growth diagnostic
Something else? hello@verqen.com
Evidence and further reading
- Worked example
Twelve thousand product pages that could not rank for their own model names
A canonical rule added during a duplicate-content cleanup pointed every product URL at its parent category. The catalogue was invisible for its highest-intent queries and nobody had connected the two facts.
- Insight · Technical SEO
The first 48 hours of an organic traffic drop
A drop always has a date. Finding the date, at day-level resolution, per template, eliminates more possible causes than any other single step — and most teams skip it.
- Insight · Growth
SEO agency vs consultant vs in-house: which problem does each actually solve?
They are not three prices for the same thing. They solve different constraints, and the usual mistake is buying the model that fits the budget instead of the one that fits the bottleneck.
Related services, problems and industries
- ServiceTechnical SEO & Search GrowthMake sure search systems can crawl, render, index and understand the pages that carry your revenue.
- ServiceAnalytics & Revenue MeasurementMake the numbers trustworthy enough to make business decisions with — GA4, GTM, ads, consent and CRM.
- ServiceSearch Intelligence RetainerA monthly programme that watches the whole system — search, analytics, technical health, competitors and AI search.
- ProblemOrganic traffic droppedSomething changed. There is always a date, and the date narrows the cause.
- ProblemTraffic but no leadsUsually a traffic-quality problem, a conversion problem, or a measurement problem — and they need different fixes.
- ProblemAnalytics cannot be trustedWhen the numbers are wrong, every decision made on them is a guess with a chart attached.
- IndustrySaaSProduct-led and sales-led SaaS, where the gap between signups and qualified pipeline is usually the real problem.
- IndustryEcommerceCatalogue-driven sites where architecture, faceted navigation and revenue tracking decide whether search works.
- IndustryB2B servicesConsidered purchases with long cycles, where lead quality and self-service research matter more than traffic volume.