How to Find Low-Hanging Fruit Keywords the Score Can't See

What Is a Low-Hanging Fruit Keyword?

A low-hanging fruit keyword is a search term you can realistically rank for with the authority your site already has.

• It sits within reach of your current pages, not months of link building away
• It carries real search demand, so ranking actually sends traffic
• Its page-one results are beatable, judged by who ranks there rather than a printed score

Keyword difficulty is the 0-100 number most tools attach to that judgment, and it leans heavily on link data. Ahrefs derives it from the referring domains pointing at the top ten pages and states that it ignores on-page factors; Semrush layers domain authority scores and SERP features on top of its link metrics. None of them grades the content, format, or intent of the pages you would be competing with, which is why learning how to find low-hanging fruit keywords starts with checking the score against the live results page. The cross-cluster view in this pillar guide to diagnosing search performance shows what your own Search Console data adds to that read.

Why It Matters for Your Workflow

The whole point of picking easy keywords is to skip the terms you have no chance at and spend your limited hours on posts that can actually reach page one. When the score is wrong, that math breaks quietly: you write ten articles against "low difficulty" terms, and six months later none of them rank because the score was scoring backlinks, not the competition sitting on the SERP.

On one smaller-site audit we shortlisted 53 candidate terms that all cleared a low difficulty threshold — and when we went back to check demand, effectively none of them had meaningful search volume. The score said "winnable." It never said "worth winning." That is the gap knowing how to find low-hanging fruit keywords is supposed to close, and it maps directly to the series walkthrough of SERP-first keyword vetting that turns a raw shortlist into a real plan.

How Low-Hanging Fruit Keyword Selection Plays Out in Real Agency Work

In practice, how to find low-hanging fruit keywords comes down to what you check after the tool spits out a number. A few common setups:

1. The new B2B site. With under 20 referring domains, an agency filters a keyword list by difficulty, picks the greens, and never notices half of them are held by publishers sitting around an Ahrefs Domain Rating of 80 — or the equivalent authority score in whichever tool you use — that the site cannot outrank yet.
2. The content team on a quota. They batch 20 long-tail terms by low KD to hit a monthly output goal, then discover a chunk of those terms draw single-digit monthly searches, so ranking first changes nothing.
3. The SaaS blog chasing intent. A term looks moderate on difficulty but page one is all Reddit threads and G2 listicles — a signal that Google wants discussion and aggregation, not another vendor explainer.

Each case turns on the same missing step: opening the SERP. The score is a starting filter, not the decision, and the cross-cluster view in this pillar guide to diagnosing search performance shows why the page that ranks tells you more than the page that scores well.

Common Implementation Misreadings

Guides that stop at the difficulty filter leave readers with a few predictable mistakes:

1. "Low KD means the SERP is winnable." The score does read the top ten — but only through their link profiles. Ahrefs says outright that its difficulty score ignores on-page factors, so nothing in the number tells you whether those pages match your intent, format, or brand trust.
2. "Long-tail always equals low competition." Longer, more specific phrases usually attract less deliberate optimization, but plenty of long-tail terms are locked up by forums or established brands.
3. "If difficulty is low, volume is fine." These are separate signals. A term can be easy and dead — no searches, no reward — which is exactly how a shortlist of easy words turns out worthless.
4. "The tool checked the results for me." It didn't. Difficulty is a modeled estimate, not a live read of the ten URLs sitting on page one right now.

Low-Hanging Fruit Keywords at a Glance — A Quick Reference

Scenario	Score-only approach	SERP-first approach	How to tell which fits
New site, fewer than 20 referring domains	Filter by low KD and publish against the greens	Open each SERP and skip terms held by high-authority domains	If page one is all DR-70+ publishers, your site cannot win it yet
Niche B2B term, under 100 monthly searches	Treat low difficulty as a green light	Confirm real, recurring volume before writing anything	If the volume estimate rounds to zero, ranking first earns no traffic
Page one is all Reddit and forum threads	Write a standard vendor explainer to compete	Match the format Google rewards or move on	If discussion and aggregation dominate, a brand explainer rarely breaks in
Term dominated by DR-80 news publishers	Trust a moderate difficulty score and commit	Read the actual holders and drop it for now	If established news sites own the results, defer until your authority grows

How to Evaluate a Low-Hanging Fruit Keyword Before You Commit

Before you commit a term to your calendar, score it against what you can observe on the page, not just what the tool printed. Knowing how to find low-hanging fruit keywords means grading each candidate on:

1. Who holds page one. A page one of high-authority publishers usually shows up as a high difficulty score too, so trust the number and move on. The dangerous case is the opposite: forums and aggregators carry few links, so difficulty reads low while the SERP is telling you Google wants a format you are not offering.
2. Whether intent matches your page. A how-to query answered by product listings, or a definition query answered by discussion threads, signals Google wants a format you may not be offering.
3. Whether real volume exists. Cross-check the search estimate; an easy term with no demand is a red flag, not an opportunity.
4. Whether your authority can compete. Compare your referring domains against the weakest page-one result. If even the bottom URL outranks you on links, park the term.

How to Implement a Low-Hanging Fruit Keyword Workflow Step by Step

Here is a path you can run today to put how to find low-hanging fruit keywords into practice without an enterprise tool budget:

1. Export your query table from Google Search Console — every term where you already collect impressions, with its average position.
2. In the exported sheet, filter to average positions 5 through 20. Do this in the spreadsheet, not in Search Console: position is a metric there, not a filterable dimension. Remember the export also omits anonymized queries and reports an impression-weighted average, so treat it as a shortlist, not a census.
3. Open the live SERP for each surviving candidate in a fresh browser tab.
4. Read the ten ranking URLs and note whether they are forums, aggregators, high-authority publishers, or beatable niche pages.
5. Confirm each term has recurring search volume, dropping anything that rounds to zero.
6. Prioritize the terms where page one is beatable and demand is real, and drop the rest without guilt.

Common Questions About Low-Hanging Fruit Keywords

Does a low keyword difficulty score mean a keyword is easy to rank for?

Not on its own. The score is modeled from the link profiles of the pages currently ranking — it ignores their content, format, and intent match, and it runs on a cached snapshot rather than today's results page. A low number with authoritative sites on page one is still a hard term.

How do you find low-hanging fruit keywords without a paid tool?

Start with Google Search Console — it is free and reports the average position of every query already earning you impressions. Export the query table and sort it to positions 5 through 20 in a spreadsheet, since Search Console itself filters by dimensions like query and page, not by position. Then open each SERP manually to judge the competition rather than paying for a modeled score.

Why did keywords with low difficulty turn out to have no traffic?

Difficulty and volume are separate signals, and many easy terms simply have almost no search demand. A shortlist can be entirely rankable and entirely worthless if none of the terms are searched for.

How many low-hanging fruit keywords should you target at once?

Enough to keep a steady publishing cadence, but only ones that survive both the volume check and the SERP read. A short list of verified winners tends to outperform a long list filtered by score alone.

Related Reading

• series walkthrough of zero search volume keywords — for telling an under-reported term apart from one nobody searches
• guide to internal link structure and link equity — for pointing the authority you already have at the pages you just picked
• what your own Search Console already ranks for — for the opposite starting point: existing rankings rather than new terms

Take Action

Run your own Search Console export through the SERP-first checks above. Or start from a shortlist instead — check whether a weaker site already holds page one samples the current results and flags a term when at least one page-one result is no stronger than your own site, or weak in absolute terms. That is the authority read and nothing else: intent, format and real volume still need your eyes, and it needs a signed-in account with Search Console connected. If you would rather start from the site than the spreadsheet, the SEO Agent takes a public URL after you sign in to a verified GenGrowth account. It needs no Search Console connection or site-ownership verification, crawls same-origin static HTML, and reports observed metadata, heading structure, and structured-data conditions. The marketing run is not saved to an app project. One run collects up to about 950 pages and stops at four minutes, so a larger site comes back marked partial coverage. It gives you observed facts and adaptable guidance, not a score or demand forecast. Run the SEO Agent.

Sources

• Google Search Console Help: impressions, position, and clicks
• Ahrefs and Semrush product documentation, for how each tool builds its keyword difficulty score
• Based on keyword-selection patterns GenGrowth has observed across smaller-site audits; no third-party study is cited