Share a client URL and competitive space. Juma shows you how to do a keyword gap analysis: who owns each cluster, how big each gap is, and what to build first.
Paste a client's website URL and describe the competitive space where they operate. Juma pulls keyword cluster data for both the client and their competitors, then maps which clusters each domain owns, trails in, or skips entirely. What comes back is a keyword gap analysis organized by search volume, traffic value, and competitive ownership, with a prioritized list of where new content will pay off most.
Take any cluster from the landscape report and break it down query by query. For each term, Juma shows who ranks, the keyword difficulty score, monthly search volume, and what content the client would need to create to compete. This turns a broad gap in the competitor keyword gap analysis into a specific content brief the team can act on immediately.
Pick any competitor that keeps appearing across multiple gaps and get a full picture of their organic content strategy. Juma maps which pages drive the most traffic, which keyword clusters they own, and which of their positions are weak enough to challenge. This turns a competitor profile into an actionable target list.
Take the top gaps from the landscape report and put a dollar value on them using CPC data from Google Ads. For each cluster, Juma shows the estimated monthly traffic at a realistic ranking position and what the equivalent paid media spend would be. This is the number that turns an SEO recommendation into a business case the client can evaluate and resource against a budget.
A Juma Project is a shared space where the team stores everything Juma needs to know about a client. Create one project per client, add context as you go, and Juma will use what's relevant every time the team runs a flow. If the project already exists from other work, just add the items below.
Add a short description in the project's info field that tells Juma what each file contains and when to use it. For example: "Competitor URLs: top 5 organic competitors in the marketing automation space. Business Goals: client wants to grow organic signups, prioritize gaps by conversion potential. Past Opportunity Analysis: Q4 2025 landscape report, compare against this baseline."
This flow shows you how to do a keyword gap analysis in minutes, compared to a full day of analyst work done manually. The manual process requires pulling each competitor's keyword profile from an SEO tool, downloading the data, building a comparison in a spreadsheet, grouping terms into clusters by hand, and sizing each gap against the client's current performance.
For a client with five competitors and 10,000 keywords each, that's a significant data-processing task before any analysis begins. The output from this flow arrives structured and ready to act on. Clusters are organized into the three-bucket framework, gaps are sized by traffic value, and the opportunity list is sorted by a combination of volume, difficulty, and business relevance. The team skips the data work and goes straight to the strategic conversation.
The flow needs the client's website URL and a short description of the competitive space where they operate. The URL provides the baseline for the client's current keyword profile. The space description tells Juma how wide to cast the net: "email marketing tools" produces a different landscape than "email marketing, marketing automation, and small business CRM."
Naming competitors directly sharpens the result significantly. If the team knows which three to five domains the client competes with, adding them to the prompt ensures the analysis covers the right players instead of defaulting to whoever ranks highest for the broadest terms. If competitor URLs are already saved in the client project, Juma pulls them automatically without requiring any extra input. For new client projects, adding competitor URLs to the project setup section below means every future analysis covers the same competitive set consistently.
Yes. Step 1 pulls data across multiple competitors at once and maps the full landscape as a single, unified report. The three-bucket framework covers the combined competitive set rather than each competitor separately, so the team sees where the client stands relative to all named competitors at the same time.
Steps 2 and 3 let the team drill down after the landscape is in place. Step 2 breaks a specific cluster into individual queries and shows who ranks for each term across all competitors. Step 3 focuses on one competitor at a time, which is most useful when the same domain appears across multiple gaps in the Step 1 report. The recommended sequence is to run Step 1 first to get the full landscape, then use Steps 2 and 3 to investigate the clusters and competitors that surface as the highest priorities.
Quarterly is the right cadence for most clients. The first run sets the baseline landscape: which clusters the client owns, which competitors control the key gaps, and where the highest-value opportunities sit. This baseline becomes the reference point for every subsequent run.
Each follow-up shows what changed since the last analysis. New content the team published may have moved the client from "absent" to "trailing" in a cluster. A competitor may have published aggressively in a space the client was about to enter, changing the difficulty profile. New keyword clusters may have grown in volume as the market shifted. Saving each report to the client project means the team tracks change over time rather than running a fresh analysis from scratch each quarter. The second run, compared against the first, tells a clearer story than either run does alone.
