Learning what an SEO competitive analysis is takes about a minute. Learning how one actually looks - the spreadsheet columns, the judgement calls, the decisions that follow - takes a worked example. In this guide we build a full competitive analysis for a fictional but realistic business: a mid-sized B2B software company selling field-service scheduling software, competing against two established vendors and one high-traffic industry publisher. Follow the same steps with your own data and you will finish with a roadmap rather than a report.

Hire AAMAX.CO to Build Your Competitive SEO Roadmap

Worked examples are useful, but your market has its own quirks, and interpreting the data correctly is where most in-house analyses stall. At AAMAX.CO we run competitive analyses across dozens of industries and turn each one into a sequenced plan with owners, effort estimates and forecast impact. We are a full-service digital marketing company delivering Web Development, Digital Marketing and SEO services worldwide, so we can build the pages, fix the templates and earn the links our analysis calls for. To get a competitive analysis that ends in rankings rather than slides, hire AAMAX.CO and we will map your market properly.

Step 1: The Scenario and the Baseline

Our example company gets 6,200 organic sessions a month, 74 percent of which come from branded queries. It has 18 blog posts, four product pages and one pricing page. Two competitors each publish weekly and have full topic clusters around scheduling, dispatching, route planning and technician management. The publisher outranks everyone for informational queries.

Baseline metrics recorded before any work: non-brand sessions 1,600 per month; priority keywords in the top three, 4 of 80; organic demo requests, 11 per month; average CTR on positions four to ten, 2.8 percent.

Step 2: Keyword Mapping by Intent

The 80 priority keywords are grouped into four clusters. Problem-aware terms describe symptoms, such as missed appointments and technician downtime. Solution-aware terms name the category, such as field service scheduling software. Comparison terms include alternatives, versus and best-of queries. Purchase terms include pricing, demo and integration-specific searches.

Mapping immediately reveals the first insight of the example: our company ranks passably for purchase terms but is entirely absent from problem-aware and comparison clusters, which is where both competitors capture demand before a buyer ever searches the category name.

Step 3: Competitor Page-Level Audit

For each cluster we open the top three results and record the observable patterns.

Problem-aware cluster. Winning pages are 1,400 to 2,000 word guides with a clear problem framing, a diagnostic checklist, one embedded calculator or template, and three to six internal links to product pages. Referring domains per page: two to nine. Verdict: content-led cluster, low authority barrier, high opportunity.

Solution-aware cluster. Winning pages are category landing pages with feature grids, screenshots, integration logos, FAQ schema and a demo form above the fold. Referring domains per page: 15 to 60. Verdict: needs a genuine landing page rebuild plus link support.

Comparison cluster. Dominated by the publisher and by competitors' own alternatives pages. Format is tables, pros and cons, pricing summaries and review quotes. Verdict: achievable with honest comparison pages and review-platform signals.

Purchase cluster. Fairly even competition. Winning pages load quickly, expose pricing tiers and answer objections in FAQs. Verdict: optimisation, not creation.

Step 4: Authority and Link Comparison

Site-wide, competitor A has 610 referring domains, competitor B has 430, and our example company has 190. That looks discouraging until you check the page level: the specific pages we want to outrank in the problem-aware cluster have fewer than ten referring domains each. This is the classic finding that changes strategy - the gap is content coverage in three of four clusters and authority in only one.

Step 5: Technical and Experience Check

The audit finds our blog template scoring poorly on Largest Contentful Paint due to an oversized hero image, product pages three clicks deep from the homepage, no FAQ or Product schema anywhere, and 40 thin tag-archive pages diluting crawl budget. Competitors have flat architecture, schema on every commercial page and faster templates. None of this is glamorous, and all of it is fixable within a sprint.

Step 6: The Gap Register

Every finding becomes a row with cluster, opportunity, benchmark, action, effort and expected impact. In the example, the register produces 26 rows. Sorted by impact over effort, the top items are:

One, rewrite four existing posts that already rank between 8 and 15 for problem-aware terms, expanding coverage to match the benchmark checklist format. Two, publish six new problem-aware guides with internal links to product pages. Three, rebuild the main category landing page with feature grid, proof and FAQ schema. Four, create three honest comparison pages. Five, fix the hero image and template speed. Six, flatten architecture so product pages sit one click from the homepage. Seven, noindex thin tag archives. Eight, run a small digital PR campaign targeting industry publications to support the category page.

Step 7: The 90-Day Execution Plan and Results

Month one delivers technical fixes and the four content refreshes. Month two ships the six new guides and the category page rebuild. Month three adds comparison pages and begins outreach.

In our example, the plausible outcome after 90 days is non-brand sessions rising from 1,600 to roughly 3,900, priority keywords in the top three moving from 4 to 17, CTR on positions four to ten improving from 2.8 to 4.6 percent after title rewrites, and organic demo requests climbing from 11 to 26 per month. Notice which changes drove that: coverage, internal linking, page experience and titles. Only one item required new links.

What the Example Teaches

Three lessons transfer to almost any market. First, absence beats weakness - the biggest wins usually come from clusters where you have no presence at all, not from pages you are already fighting for. Second, page-level authority matters far more than site-level scores, and checking it prevents unnecessary link campaigns. Third, sequencing decides the outcome; refreshing existing near-miss pages first funds the slower work with early results.

These same principles guide how we combine organic search with the rest of the funnel in our digital marketing programmes, and how we prepare clients for AI-driven discovery through GEO services alongside classic search engine optimization.

Final Thoughts

An SEO competitive analysis example is only useful if you copy the structure, not the conclusions. Map keywords by intent, audit the winning pages cluster by cluster, compare authority at page level, check technical parity, then build a gap register and execute it in waves. Run that loop twice a year and your competitive position compounds instead of drifting.