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Technical SEO Crawl budget + indexation clarity One-time project, clear deliverables

Log File Analysis that shows how Google actually crawls your site

Crawl tools simulate. Search Console summarises. Server logs reveal reality. We analyse bot behaviour to find crawl waste, unblock indexing, and prioritise fixes that get your important URLs crawled more often.

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When this is the right move

  • Important pages are not getting crawled, or indexing is inconsistent
  • Large site with faceted navigation, filters, or near-duplicate URL patterns
  • Migrations and redesigns where crawl paths changed
  • Spike in crawl errors, soft 404s, or odd bot activity

What we typically uncover

  • Bot traps and parameter loops eating crawl budget
  • Wasteful 3xx chains and 4xx clusters that keep getting hit
  • Template areas that bots prioritise over revenue pages
  • Misconfigured directives (robots, canonicals, sitemaps) causing mixed signals

Why log file analysis changes decisions

When stakes are high, you want certainty. Logs show which URLs bots request, how often, what status they receive, and where crawl time is being wasted.

Technical SEO audit

Reality, not assumptions

See what bots actually crawl, not what your crawler thinks they should crawl.

  • Googlebot vs other bots
  • Crawl frequency by URL pattern
  • Status code distribution by template

Find crawl waste fast

Locate the parts of the site that absorb bot attention without producing rankings or revenue.

  • Parameter loops and filter traps
  • Internal search URLs
  • Infinite pagination or calendar paths

Turn insight into tickets

You get a prioritised plan your team can execute, with clear next actions.

  • Backlog grouped by owner
  • Expected impact and confidence
  • QA checks after release (Tier 3)
Question Server logs Crawl tools Google Search Console
Which URLs are bots requesting right now? Exact requests Simulated crawl Aggregated, delayed
How often is Googlebot crawling key templates? Frequency by pattern Inferred Partial via crawl stats
Which 3xx/4xx URLs keep getting hit? Repeated hits May miss frequency Samples, not full
Are directives influencing crawl paths as intended? Verify outcomes Needs assumptions Indirect signals
What should we fix first for crawl budget? Prioritise with evidence Helpful context Helpful context

Privacy-first handling

We only analyse what is needed to answer crawl and indexation questions. We can work with anonymised IPs and limited fields if required by policy.

Interlocks with your technical stack

We align findings to fixes that matter: crawl and indexation, robots and sitemaps, and canonicalisation.

Our log analysis process

Built for teams that want answers they can ship. Clear inputs, clean analysis, and a prioritised backlog that fits your sprint planning.

Migrations support
6-step system
Click a step to view details
Evidence-led
  1. 1 Access + ingestConfirm fields, timeframe, and bot labelling
  2. 2 Normalise + cleanDeduplicate, group patterns, handle noise
  3. 3 Crawl pathsFind entry points and internal linking signals
  4. 4 Status codes3xx, 4xx, 5xx clusters and repeats
  5. 5 Budget + bloatWaste hotspots, index bloat plan
  6. 6 Backlog + readoutTickets, owners, expected impact

1) Access + ingest

We start by making log access easy and safe, then confirm the question we are answering.

  • Define scope
    Which subdomains, environments, and bot types matter.
  • Choose timeframe
    Typically 30 to 90 days depending on seasonality and volume.
  • Bot identification
    Googlebot, Bingbot, important third-party bots, and unknowns.

2) Normalise + clean

We transform raw logs into analysis-ready datasets that are easy to interpret and action.

  • URL pattern grouping
    Templates, parameters, directories, and duplicates.
  • Noise filtering
    Remove irrelevant assets and focus on crawl-impacting requests.
  • Status code audit
    Map errors and redirects to their source patterns.

3) Crawl paths

We identify entry points and paths that push bots toward (or away from) your important pages.

  • Crawl entry points
    Home, sitemaps, category pages, internal search, and parameters.
  • Template prioritisation
    Which templates receive the most crawl attention and why.
  • Internal linking implications
    Tie findings to internal linking strategy.

4) Status codes

We surface repeat offenders that waste crawl budget and cause indexing instability.

  • Redirect chains
    3xx sequences that keep getting hit, plus where they originate.
  • 4xx clusters
    Soft 404s, broken endpoints, and repeated 404 hits.
  • 5xx resilience
    Server instability windows and crawl behaviour changes.

5) Crawl budget + index bloat plan

We identify wasted crawl and map fixes to directives, templates, and content governance.

6) Backlog + readout

Every insight becomes an action. You get a ticket list, recommended order, and an executive summary.

  • Priority ticket list
    Grouped by owner (SEO, dev, content) with expected impact.
  • Readout call
    Walkthrough and Q&A, plus decisions on what ships first.
  • Optional QA
    Tier 3 includes QA after one release to validate outcomes.

Outcomes we optimise for

  • More crawl allocation to important templates and money pages
  • Faster discovery and recrawl for new and updated content
  • Cleaner indexation footprint (less bloat, fewer thin variants)
  • Fewer repeated error hits from bots

Common follow-on work

Many fixes ship best alongside related technical work: crawl and indexation fixes, site architecture and internal linking, and schema markup.

Proof across competitive Vancouver markets

Technical clarity compounds. When crawl and indexation improve, everything else gets easier: content wins faster, links land harder, and rankings stabilise.

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Log File Analysis pricing

One-time projects with a clear outcome promise. Choose the level that matches your site size, stakeholder complexity, and how quickly you want to ship fixes.

SEO packages
Quick Wins
Foundation

Find crawl waste fast

Best for smaller sites or a first pass to uncover obvious traps and high-leverage fixes.

$2,200 CAD, one-time
  • Outcome: find crawl waste and unlock faster indexing
  • Log ingestion and bot labelling (typical 30 to 60 days)
  • Most-requested crawl patterns and waste hotspots
  • Quick fix recommendations and next steps
  • Readout notes
Best for teams
Scale

Governance + QA after release

Best for large sites, multiple stakeholders, or teams that want verification after fixes ship.

$8,200 CAD, one-time
  • Outcome: governance plus QA after first release
  • Logs 90+ days, multi-segment analysis
  • Full ticket list with owners and sequencing
  • Stakeholder workshop
  • QA after one release to validate outcomes

Timeline

  • Foundation: typically 7 to 10 business days
  • Growth: typically 10 to 14 business days
  • Scale: typically 3 to 4 weeks

If you have a fixed release window, tell us and we will structure the readout and backlog around it.

What we need from you

  • Server log access (or export) for the agreed timeframe
  • Confirm key templates and revenue URLs, plus any noindex rules
  • Access to Google Search Console (view) for context
  • Dev contact for implementation questions (recommended)

If log access is complex, we can guide your team or hosting provider through what to export.

Log file analysis FAQs

Common questions from teams who want crawl certainty before investing engineering time.

Reporting and dashboards
What log fields do you need?
At minimum: timestamp, requested URL, status code, user agent, and referrer (if available). If IPs must be anonymised, we can still analyse patterns and frequency.
Can you confirm if Google is ignoring our directives?
Logs help verify outcomes: whether bots keep requesting blocked patterns, whether redirect chains persist, and whether crawls concentrate where you expect. For directive fixes, we often pair this with robots and sitemap optimisation.
Is this useful for smaller sites?
It can be. The highest ROI usually appears on sites with many URL variants, filters, or frequent publishing. For smaller sites, a technical SEO audit may be a better first step unless you suspect crawl anomalies.
Do you implement the fixes too?
We can. Many clients start with a one-time analysis, then add crawl and indexation fixes, internal linking support, or a technical sprint to ship the backlog.
How do you handle sensitive data?
We analyse only what is required to answer crawl and indexation questions. We can work with limited exports and follow your internal policies for access and retention.
What is the best companion service?
Most teams pair log analysis with crawl and indexation fixes, robots and sitemap optimisation, and canonicalisation. This turns insights into crawl budget gains quickly.

Get a Log File Analysis proposal

Tell us your site and what feels off. We will recommend the right tier, confirm required log access, and map the fastest path to crawl clarity.

About VSA
Step 1: Send your details

Free audit included. No pressure. If we are not a fit, we will tell you quickly.

Reply within 1 business day

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Step 2: Choose a time

Pick a slot that works. We will come prepared with next-step options and access requirements.

What we will cover

  • Log access path and required fields
  • Which tier matches your site
  • Fastest fixes for crawl waste
  • Implementation options
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What you get (deliverables)

  • Log ingestion + bot labelling, grouped by template and URL pattern
  • Status code distribution, repeat offenders, and hotspot summary
  • Bot trap diagnosis: parameters, internal search, pagination, infinite spaces
  • Crawl budget and index bloat plan with recommended directives
  • Prioritised ticket list (what ships first and why)
  • Readout call and implementation support options

Helpful next pages

Prefer to start lighter? Consider a free SEO audit or a technical SEO audit to validate priorities before digging into logs.

Log File Analysis Crawl clarity in days
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