What Is Color by Keyword? The Rule That Reads a List You Have Not Sorted Yet

A rule reads a cell. It finds your word somewhere inside the text. Then it paints the row.

That is color by keyword. The mechanism fits in one line. What the mechanism is good for takes rather longer to explain.

You have met it already, probably without the name attached. Conditional formatting in a spreadsheet. Syntax highlighting in a code editor, where the reserved words pick up a color of their own. Colored labels sitting on a folder of photo files. Same operation underneath all of them. Text gets matched, then something gets painted.

The Mechanism, Stated Plainly

Two parts, nothing more. A condition and a format.

The condition asks a yes-or-no question about text. Does this cell contain “near me”?

The format is whatever happens on a yes. Usually a fill color. Sometimes bold, sometimes a colored border down the left edge of the row.

Nothing about the data itself changes. The value in the cell stays exactly what it was. Only the paint is new.

That last point sounds trivial. Yet it is the entire reason this technique earns a place in a keyword research workflow.

Everything Else Removes Rows. Color Leaves Them There.

Here is the fair objection, and most people arrive at it within about five seconds. Why color anything? Filter for the word instead. Sort by it. Same result, fewer steps.

That objection is right about the steps. It is wrong about the purpose.

Filtering answers a question you already have. You type “near me” because you had already decided “near me” mattered. Then the three thousand rows that fail the test vanish from view. Any sense of proportion goes with them. Two hundred rows survive. Out of how many, though?

Sorting carries its own cost. It destroys the order the export arrived in. That order is usually search volume, which is usually the column you were reading the file by.

Color does neither thing. Every row stays put and every row stays visible. So you get the one thing a filter cannot hand you. Proportion.

Scroll a colored export and the answer arrives visually. A quarter of the sheet is green. Your local-intent rows are not a niche segment, they are the list. Or four rows are green out of four thousand. The strategy you built on local intent just died there, in roughly eight seconds of scrolling.

Filtering suits a list you already understand. Color by keyword suits a list you do not.

Setting Up Conditional Formatting on an Actual Export

Google Sheets calls this conditional formatting with a custom formula. Excel calls it a new rule using a formula to decide which cells get formatted. Same feature wearing two different menus.

Select the whole data range first. The keyword column on its own will not do it.

Then the formula.

=ISNUMBER(SEARCH("near me",$A2))

SEARCH returns a character position on a hit. It returns an error on a miss. ISNUMBER turns that into the true-or-false the rule actually wants.

The dollar sign in front of the A is the part that matters. It pins the rule to column A while the row number keeps moving down the sheet. Every row now gets judged by its keyword and painted across its full width.

Miss the dollar sign and the color lands on the wrong cells entirely. A famous ten minutes of confusion, that one.

Substring Matching Will Embarrass You

SEARCH does not look for words. It looks for characters sitting in a row.

So a rule watching for “cost” will happily paint “costume jewellery calgary”. A rule watching for “ad” paints “shade”. It paints “adventure” too. Nobody catches this at setup. It surfaces a fortnight later. A client asks why the pricing bucket holds forty rows with nothing to do with pricing.

Two fixes. Neither one takes long.

Pad the term with a space on each side, inside the quotes. That forces a rough word boundary. Crude, and it misses the term whenever it sits at the very start of a cell.

Real boundaries are better. Google Sheets gives you REGEXMATCH for exactly that.

=REGEXMATCH($A2,"\bcost\b")

Excel only picked up regex functions in Microsoft 365. Older versions fall back to the padding trick instead. A helper column handles the stubborn cases.

Test every rule against the thirty ugliest rows in the file before you trust any of them.

Rule Order Decides Which Color Wins

A keyword often matches two rules at once. “Emergency plumber near me” reads as local. It also reads as urgent. You built a separate rule for each.

Sheets settles the argument simply. First rule in the list wins. The second one never fires at all.

Excel evaluates top down instead, and will cheerfully stack both formats on the same cell. Tick Stop If True on the rule that should end the argument.

Order your rules by specificity, then. Narrowest condition at the top. Alphabetical is how the rule list ends up sorted by accident, and it is never once the order you wanted.

Five Colors Is About the Ceiling

Color encodes presence. Nothing else.

A green row tells you the word is in there somewhere. It cannot tell you that the row gets nine thousand searches a month while the row beneath it gets eleven. That information belongs in a column, where numbers live.

Push past five or six colors and the sheet stops reading as a picture. It becomes a puzzle with a legend. Then you are back to reading rows one at a time, which is the exact condition you were trying to escape.

Three colors is usually plenty. Two is often better.

What SEO Company To-The-TOP! Colors First

Intent modifiers get the first rule, every time. Words like “cost”, “near me”, “hire”, “best”.

Geography gets the second rule. Calgary, Edmonton, Vancouver, plus the suburb names a national tool never bothers to separate out.

The third rule is a negative one. It tends to earn its keep faster than the other two. Brand names, competitor names, “jobs”, “free”. Painted red rather than deleted, because a red row is a decision still waiting. A deleted row is a decision already made, quietly, by nobody.

That distinction is why the coloring pass comes before the culling pass in real keyword research. You can argue with a red row. Nobody can argue with a row that already left the file.

The same picture drives the negative list in Google Ads management. Every junk term you failed to paint there eventually costs somebody real money.

To-The-TOP! has been reading Alberta and BC exports this way since 2007. Solo practitioner, so the rule set carries from client to client. It never gets rebuilt from scratch by whoever happens to be free that week. Businesses looking into Calgary SEO usually find that geography alone paints half the answer for them.

Nineteen years in. The coloring on a To-The-TOP! sheet still happens before anything gets sorted. Fastest look at a list you will ever get. Every hour of SEO services downstream of that first pass runs faster for it.

Common Questions About Color by Keyword

Is color by keyword the same as conditional formatting?

Conditional formatting is the feature. Color by keyword is one thing you do with it. That same feature also colors by number, by date, by duplicate value. The keyword version simply happens to suit a list made of text.

Does coloring a row change the data?

No. The stored value never moves. Filters and totals behave exactly as they did before the rule existed. That is what makes color safe to apply early, before you have committed to any categories.

Can I filter by color afterwards?

Yes, in both Excel and Sheets. Filter by fill color once the paint is down and you end up with the filtered view anyway. So coloring first costs you nothing. It shows you the proportions on the way through.

One last thing worth checking before you trust a colored sheet. Open the rule manager and read the range each rule claims to apply to. Ranges drift when rows get pasted in. A rule that quietly stopped covering the bottom four hundred rows looks identical to a rule that searched them and found nothing.