Travel SEO

Automated SEO analysis and reporting for travel

Travel search runs on a lag. People research in January and travel in July, so the traffic that matters for summer is already decided by spring. GSC Wizard reports on the booking window rather than the calendar, forecasts the season from your own history, and compares against last year instead of last month.

Try for free (no creditcard needed) See the seasonal setup

Multi-language and multi-market reporting with multi-year history.

The lag

By the time summer traffic disappoints you, the ranking work that would have fixed it was due in February.

Every travel business knows the season is seasonal. Far fewer report on the lead time. If your destination pages are not ranking during the research window, the booking window is already lost - and a month-over-month report will not tell you until it is too late to act.

The problem

Why standard reporting fails travel

Seasonality plus lead time plus multiple markets is a hard combination.

Month-over-month comparisons are meaningless

October versus September tells you the season changed. The only useful comparison in travel is the same weeks last year, which means you need at least two years of data - and Google gives you sixteen months.

Destination pages decay quietly in the off-season

A destination guide can slide four positions between September and February and cost nothing at the time. It costs everything in April. Off-season decay is invisible precisely because nobody is looking at low-season traffic.

Markets peak at different times and get averaged together

Northern European traffic peaks for winter sun while domestic traffic peaks in summer. Reported as one number they smooth each other out and both patterns disappear, along with any chance of planning content per market.

The setup

How to set it up

Year-over-year by default, forecasting for planning, and markets kept apart.

Step 1

Make year-over-year the default comparison

Comparison date ranges let every report run against the same period last year. In travel this should be the default view, not an occasional check.

Filters and date ranges →

Step 2

Keep more than two years of history

Full storage properties retain up to 10 years, so 'this July versus the last three Julys' remains answerable long after Google's sixteen-month window has expired.

Pricing and storage →

Step 3

Forecast the season while you can still act

Traffic forecasting projects the coming months from your own seasonal history, so the content and technical work for summer gets scheduled in winter when it can still change the outcome.

Traffic forecast →

Step 4

Report per market and per language

Country breakdowns plus the internationalization report cover market-level performance and hreflang health across your language versions - the usual source of silent traffic loss on travel sites.

Internationalization report →

The output

The pre-season readiness report

Run in winter, about summer. That is the only time it can change anything.

TRAVEL PRE-SEASON REPORT - February, for the summer window

RESEARCH WINDOW TRAFFIC (Jan-Feb) vs same weeks last year
  Destination guides      +8%      research demand healthy
  Booking / offers pages  -12%     <- concern
  Inspiration content     +14%

DESTINATION READINESS - top 10 summer earners, position now
  /destinations/algarve       pos 3.1   (last summer 2.8)  ok
  /destinations/crete         pos 8.4   (last summer 3.9)  ACT NOW
  /destinations/costa-brava   pos 5.2   (last summer 4.4)  watch
  -> Crete lost 4.5 positions in the off-season. 5 months to fix.

BY MARKET  (peaks differ - never average these)
  NL   winter-sun peak passed, summer research starting
  DE   summer research at 62% of last year's pace
  UK   tracking +6% vs last year

FORECAST  summer window 1.9M-2.3M clicks if positions hold

The forecast line is conditional on purpose. It is a planning input, not a promise, and the 'if positions hold' is where the ranking work gets justified.

What to watch

Travel metrics that respect the lag

Research-window position

Where your destination pages rank during the months people plan, not during the months they travel. This is the leading indicator for the season.

Year-over-year, always

Same weeks last year is the only valid comparison in a business where demand varies 10x across the calendar.

Off-season position drift

How far key pages slid while nobody was watching. Cheap to fix in February, impossible to fix in June.

Per-market pace versus last year

Each source market tracked against its own prior-year curve, because they peak at different times and averaging destroys both signals.

Frequently asked questions

How do I compare this season to the same season last year?

Use a comparison date range set to the same weeks in the prior year, and keep the property on full storage so the history is still there. Google's own retention stops at sixteen months, which is not enough for a true multi-year seasonal comparison.

When should I be doing the work for summer?

During the research window, which for most travel verticals is three to six months ahead. The pre-season report exists to force that conversation in February rather than in June, when the rankings are already set.

Can I report separately for each source market?

Yes. Country breakdowns give you per-market performance, and content groups handle language folders. Because markets peak at different times, keeping them separate is the difference between seeing your seasonality and averaging it away.

Does it check hreflang across our language versions?

The internationalization report covers cross-market and language-version issues, including where the wrong language version is ranking in a market. On travel sites that is a common and expensive silent problem.