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Marketlyzer
Maria · your AI location agent

Ask about any location.Decide with the data.

Name a street, a site or a brand. Maria reads the foot traffic, rivals and people around it, and answers with the numbers, a live map and a board-ready scorecard.

MariaYour AI location agent First question free
Enter to ask · answers in minutes

Not sure what to ask? Pick one to start.

Map data © OpenStreetMap contributors · OpenFreeMap

Maria has already walked the street. She maps every rival within 500 metres, reads how busy each gets by the hour, counts who lives within a kilometre and ranks your sites on one yardstick. In minutes.

How it works

One question.
The whole analysis.

Three London streets: who walks them, when, and who lives there. Every figure below is from Maria's lookups.

  1. 1

    Ask it like you'd ask an analyst.

    Places, a goal, a hunch. Here: who is on these three streets, when, and who lives there?

  2. 2

    Maria does the lookups.

    Hour-by-hour foot traffic for 141 venues, 144+ coffee competitors and the people within 1 km of each street. Every lookup shows as it runs.

  3. 3

    Everything lands on the map.

    Each street, its 500 m radius and every competitor, ready to filter, compare and download.

  4. 4

    She finds the pattern.

    Three streets, three clocks: King's Cross runs on breakfast, Shoreditch on weekends, Soho on nights.

  5. 5

    An answer you can act on.

    The morning crowd is in King's Cross: the most residents, the fewest rivals. One more question makes it a scorecard for the board.

busy at 8 am on weekdays in King's Cross, against 19% in Shoreditch and Soho
34%
of Soho's visits come after 6 pm
33%
venues read for foot traffic, hour by hour
141
coffee competitors mapped within 500 m
144+

% busy is how full a street's venues are at that hour, against their own busiest hour of the week: 100% is as busy as they ever get.

Foot traffic

Know the hour,
not just the address.

Every site's week, hour by hour, from the venues around it. The same street can be a lunchtime strip on weekdays and a destination on Saturdays.

% busy How full the venues within 500 m are, against their busiest hour
61%busy at its peak, on
Saturday, 1 pm
Average weekday
30%
Average weekend day
27%
Hours a week above 40% busy
69 h
When the day's visits happen
Morning 21%Midday 32%Afternoon 22%Evening 24%
Ask about anything nearby

Everything about a place.
In one conversation.

Each card is a question you could ask, and what Maria brings back.

Competitors

You ask: Who else sells coffee near Old Compton St, Soho?

90+ cafés and coffee shops within 500 m of Old Compton St.

Each one mapped, with its rating and the hours it gets busy.

The closest one
7 m away
Their average customer rating
4.4 out of 5 stars
Residents

You ask: How many people live near each site?

60,809

people live within 1 km of Granary Square.

Old Compton St has the fewest neighbours, so its cafés rely more on people passing through.

Walkability

You ask: Which site is easiest to walk to?

Redchurch St, 94 out of 100. A score built from the pavements, crossings, street lights and transit stops within 500 m.

Brands & campaigns

You ask: Where is Zara in Spain, and what is it advertising?

Every branch on the map, with the ads and campaigns it is running.

Travel time

You ask: Who can reach my site in 10 minutes?

The area anyone can walk, cycle or drive to in a set time, drawn on the map.

Buildings

You ask: Is it offices, homes or shops around here?

How tall and dense the buildings are, and the mix of shops, offices and homes.

You can also ask about

  • Weather by month
  • Rents and prices
  • Road traffic
  • EV chargers
  • Growth from space
  • Motorway access
Site scorecard

Five sites.
One yardstick.
One PDF.

Give Maria up to five addresses and your concept. She scores each on footfall, competition, catchment and access, ranks them, and writes it up with maps, busy-hour grids and competitor tables.

Site score, out of 100 · specialty coffee, London

  1. 1Granary SquareKing's Cross68/100
  2. 2Redchurch StShoreditch61/100
  3. 3Old Compton StSoho58/100
The cover of the sample site scorecard: three London coffee-shop sites ranked, with a radar of their scores
Built to be trusted

Answers you can take into the meeting.

Shows its workings

Every lookup is listed under the answer, and every figure sits in a dataset you can open, sort and download.

Never invents a number

Every figure comes from a lookup Maria ran. An estimate is labelled as one, with its assumptions.

The same yardstick

Every site is scored on the same four measures with published bands, so sites compare fairly.

Your work stays yours

Conversations and datasets belong to your account, and the workspace loads no third-party scripts.

Ask your first question.

Free, no credit card. Maria finds the pattern in minutes, and a 30-minute call with the team opens every figure.

MariaYour AI location agent First question free
Enter to ask · answers in minutes

Not sure what to ask? Pick one to start.

Prefer a walkthrough? Book 30 minutes with the team