Start with the last confirmed location
Write down the exact area, landmark, date and approximate time when the pet was last seen. Search the immediate surroundings first and ask nearby security guards, shopkeepers, delivery workers, neighbours and regular walkers whether they noticed the animal or the direction it travelled.
Choose a photo that shows the face, body shape, fur colour and distinctive markings. If possible, keep both a front-facing and full-body photo ready.
Mention collar colour, scars, patches, tail shape, eye colour, approximate age and any feature that can help someone distinguish your pet from a similar animal.
Include city, state, locality, landmark and last-seen date. Accurate location information makes local sharing and database searching more useful.
Use a phone or WhatsApp number you can monitor. Be careful with suspicious requests for OTPs, bank details or advance payments.
A useful match may appear later. Search again when new reports are added rather than checking only once.
How to make a lost-pet post easier to recognise
Keep the first line simple: pet name, animal type, locality and city. Then add identifying details and the last-seen date. Avoid covering the pet's face with large text or stickers in the main photo. If you share the report on social media, use the same core information everywhere so people do not receive conflicting locations or dates.
Search beyond social media
Social sharing can help, but it should not be the only search method. Check nearby streets at different times of day, speak with local animal feeders and rescuers, contact relevant animal-welfare organisations, and keep a record of places already checked. If the pet is microchipped or has identifying veterinary records, keep those details available when needed for ownership verification.
Using FindMyPet India for a missing pet
FindMyPet India lets signed-in users create lost-pet reports and use community report data and AI-assisted photo comparison to review possible matches. The quality of the result depends heavily on the quality of the photo and the accuracy of details entered in the report.