To address your first question, below are two fragments of text. One of them is gibberish I copied from /dev/urandom; the other is a literary quotation of the same number of octets. Each sequence of octets is written with graphic US-ASCII characters verbatim, and with control characters and non-US-ASCII octets written using \xAB
hexadecimal notation. Can you tell which is which? (I randomized the order of fragments by flipping a coin, too.)
Kas siis selle maa keel / Laulutuules ei v\xc3\xb5i / Taevani t\xc3\xb5ustes \xc3\xbcles / Igavikku omale otsida?
\xe4xz\xfd\x11?\xbb\xfa\xeb\xb3a\x02Z\xe0\xdc_\xc3\xd3\x92\xa4ssa\x1an\xab\x1aa\x15\xa8\x02\xa5r}\xbe\x8f\xbc\n\xe5\x80\xd0B\xbeH\x17\xfex\x03\xd6\x99\x1d\xde$
\x89\xb4G\xd1\xea\xfb\x13@~\x87)\xb9\xd9\xcc\x18\x81\x01\x03$\xf23\x91\xb5c\xd0\xd1\x17\x11r\xee1"!\x03UiGB\x16\xc3{\xa0
(No cheating by knowing how to read Estonian! We can do the exercise with a different language if you do read Estonian.)
To address your second question, suppose you didn't know it were Estonian. It is highly unlikely that any language's orthography represented in octet strings has a uniform distribution, so you might, e.g., perform a statistical test to reject the null hypothesis of a uniform distribution, like a standard undergrad-statistician's $\chi^2$ test of bit or octet frequencies. There is no way to make it ‘more complex’—there are already $2^{256}$ possibilities, each one having equal probability.
Finally, to address you third question, your obligation to satisfy the AES-256 contract is to provide a key chosen uniformly at random from all $2^{256}$ possibilities. Normally you do this by asking your computer to do it for you, e.g. by calling on a hardware random number generator or by flipping a coin 256 times to seed your software random number generator.
If, however, you must deterministically derive a key from a password, then you should use a modern password-based key derivation function like scrypt or argon2. A PBKDF is expensive to evaluate, which means the cost of testing a guess for a password is high, with some variations in the cost model—older ones like PBKDF2 consider only time cost on a sequential machine, whereas newer ones like scrypt and argon2 consider area*time cost on an arbitrarily large piece of silicon that may have many CPUs or lots of memory. In some sense, a PBKDF behaves almost as if the password space were larger and the entropy of the password selection process were larger, because the expected cost of an attack is as much higher as if the entropy of the password selection process really were higher.