Many searches are no longer simple questions with single answers.
Someone planning a trip may need information about transport, accommodation, journey times, costs and activities. Their personal circumstances introduce further questions.
A trip with a dog creates different information needs from a trip with young children. Travelling with an older relative who has limited mobility creates another set again.
Google AI Mode and other AI search systems can respond by breaking the original question into related subtopics and searching across them. This process is commonly called query fan-out.
For content creators, understanding this can be useful.
But it can also lead to a trap.
If you build your article too closely around predicted fan-out topics, you may force your experience into the same standardised structure as hundreds of other articles.
A better approach is to write from experience first and use query fan-out only as a final coverage check.
Query Fan-Out Depends on the Specific Question
It is unlikely that Google has one fixed fan-out map for a broad subject such as:
Planning a trip to York
The related searches will depend on what the user actually asks.
Someone travelling with a dog may need information about:
- pet-friendly accommodation;
- places that allow dogs;
- parks and walking routes;
- public transport rules.
A family with young children may care more about:
- pushchair accessibility;
- changing facilities;
- shorter walking routes;
- child-friendly attractions;
- suitable places to eat.
Someone travelling with an older relative may need:
- step-free access;
- nearby seating and toilets;
- shorter distances between attractions;
- accessible hotel rooms;
- taxi or mobility-scooter availability.
The destination establishes the general subject.
The traveller’s circumstances determine what information matters.
That means there is no single definitive list of “York fan-out queries” for content creators to uncover.
Why Topic Maps Are Tempting
You can ask an LLM:
What subqueries might be needed to answer a question about visiting York with young children?
It may produce a map like this:
- family accommodation;
- child-friendly attractions;
- pushchair accessibility;
- restaurants;
- public toilets;
- rainy-day activities;
- travel costs;
- advance booking requirements.
This can be useful.
It may remind a writer about an important part of the trip they had overlooked. Perhaps the walking distance was harder than expected, finding a suitable toilet was difficult or several attractions needed to be booked in advance.
The danger begins when the topic map becomes the article outline.
The writer turns every suggested area into a heading and then fills each section:
Family Accommodation in York
The Best Attractions for Children
Pushchair Accessibility
Family-Friendly Restaurants
Public Toilets
Rainy-Day Activities
The resulting article may be comprehensive, but it may also look remarkably similar to every other article produced using the same method.
The writer has not copied Google’s exact internal searches. Those searches are not normally visible.
Instead, they have copied an AI-generated approximation of the likely information needs.
When many people do this, the web fills with articles covering the same subjects in the same order.
Do Not Let the Map Flatten the Experience
Imagine a family that has genuinely visited York with children aged three and six.
They have photographs, booking confirmations, receipts and memories of what happened.
Their most useful observations may be:
- the walk from the station was longer than expected;
- the family room looked much larger online;
- the pushchair was awkward on certain streets;
- one child loved an attraction while the other became bored;
- finding somewhere suitable to eat at 5 p.m. was difficult;
- rain disrupted the second afternoon;
- they would plan the trip differently next time.
Those details are the valuable part.
A topic map cannot produce them.
If the map controls the article, those distinctive experiences may be reduced to small examples inside generic sections.
The family’s real story is squeezed into a structure that could have been given to almost anyone.
Start With What Actually Happened
The stronger method is to begin with the trip itself.
Look through:
- photographs;
- bookings;
- receipts;
- maps;
- messages;
- notes;
- videos.
Then ask:
- What worked?
- What went wrong?
- What surprised us?
- What did the children enjoy?
- What did they dislike?
- What took longer than expected?
- What would we change next time?
- What would we have liked to know before travelling?
Let the answers establish the first version of the article.
The headings might become:
Why We Chose York With Children Aged Three and Six
The Walking Distance We Badly Underestimated
The Attraction One Child Loved and the Other Hated
Why Our Pushchair Became a Problem
What Happened When It Rained
Where We Ate With Two Tired Children
What We Would Do Differently Next Time
These headings still answer practical questions.
But they have been shaped by what happened rather than by an AI-generated template.
Use Query Fan-Out After the First Draft
Once the experience-led draft exists, query fan-out becomes useful again.
You might ask:
What important questions could a family with young children still have after reading this article?
The response may reveal that you have not mentioned:
- advance booking requirements;
- changing facilities;
- the distance from the station;
- total costs;
- whether the trip would work without a pushchair.
You can then decide which details genuinely belong.
You do not have to fill every possible branch.
If you travelled by train, there is no need to create a generic parking guide from information gathered elsewhere. You can simply say:
We travelled by train, so I cannot offer a first-hand opinion on parking in York.
That limitation is helpful. It clearly tells the reader what you do and do not know.
A Better Content Process
The recommended order is:
1. Document the experience
Preserve photographs, notes, costs, bookings, successes and failures.
2. Write from evidence
Allow what happened to shape the initial article.
3. Write for a recognisable reader
In this example, that might be another family with children of similar ages.
4. Check possible subqueries
Use AI Mode or another LLM to identify important questions you may have missed.
5. Add only what improves the article
Include overlooked details when you have something useful to contribute.
6. Preserve the original shape
Do not rebuild the article simply to match the generated topic map.
The process should be:
Experience
↓
Evidence
↓
Original draft
↓
Coverage check
↓
Selective additions
↓
Finished article
Not:
AI-generated topic map
↓
Standard headings
↓
Generic research
↓
Small pieces of experience added
Coverage Is Not the Same as Filling Every Gap
A useful article does not need to answer every possible question about its subject.
There is an important difference between asking:
Have I accidentally missed something important?
and:
Have I filled every section of the topic map?
The first question protects the reader.
The second often creates bloated, interchangeable content.
Query fan-out should expand your awareness, not dictate your structure.
Your Experience Is the Part Worth Protecting
A website still needs clear titles, useful organisation, internal links and ways for readers to discover it.
But those things communicate the value.
They do not create it.
A family that carefully documents hundreds of trips would gradually build:
- original photographs;
- practical comparisons;
- honest recommendations;
- evidence of what worked;
- mistakes and changed opinions;
- observations about travelling as their children grow.
That body of work would be difficult to reproduce because it comes from repeated experience.
Its strength would not be that every article perfectly matched a predicted query map.
Its strength would be that the family had actually taken the trips, documented them and shared what they learned.
Use the Map Without Becoming the Map
Content creators should understand that subqueries exist.
They can help reveal overlooked questions and improve the completeness of an article.
But they should not control the writing from the beginning.
Write about what happened.
Use your own evidence.
Reach your own conclusions.
Then use query fan-out as a final check for anything useful you may have missed.
Let query fan-out expand your awareness, but never allow it to flatten your experience.
In a web increasingly filled with competent but similar material, your unique experience is the part most worth preserving.