SEO Competitor Analysis: A Step-by-Step Process for Turning Findings into Work Items

Competitor analysis fails most often not because the data is wrong, but because nobody turns it into a decision. Below is a working procedure you can run in a defined query cluster - for our running example, an agency account manager responsible for a client selling industrial safety footwear in Gauteng, competing against three national distributors and one marketplace-heavy retailer.

Before You Start: Define the Query Cluster and Pick the Right Competitors

Scope first. Without a bounded query cluster, analysis produces an unbounded list of "interesting" findings and no priorities. Write the cluster in one line: for the safety footwear client, roughly 40-90 queries covering product type, standard (S3, steel toe), industry (mining, construction, warehousing) and bulk pricing.

Then pick competitors in two tiers, because they answer different questions:

• Direct commercial competitors - overlap with your product and audience. Use these for gap analysis.
• Search-format competitors - publishers, marketplaces or directories occupying the same SERPs without selling the same thing. Use these to see what format Google rewards.

A common failure is benchmarking only against the category's biggest brand: their budget and brand demand make most tactics non-transferable, and their pages often rank on brand strength rather than page quality. Three to five competitors is enough.

Step 1 - Audit Your Own Site So Gaps Mean Something

A gap you cannot technically index is not a gap. Before touching competitor data, open Search Console and check the Performance report filtered to your cluster queries, plus the Pages: not indexed report with its Why pages aren't indexed breakdown. If competitor topics match pages you already have but that sit at "Crawled - currently not indexed" or "Duplicate, Google chose different canonical", the work item is technical remediation, not new content.

Step 2 - Map Query-Level Overlap Across Search Console and Third-Party Tools

Build an overlap matrix: your ranking queries against each competitor's, using Search Console for your side and a third-party tool for theirs. Rank-tracker position counts are weak alone - a competitor at position 14 for 200 queries looks impressive and earns nothing. Score instead on:

• Share of voice within the cluster, weighted by estimated clicks, not raw positions.
• Editorial vs commercial URL ratio - how much of their footprint is guides, comparisons and FAQs versus product pages. A 60/40 editorial split usually signals top-of-funnel feeding and internal linking down.
• Average content depth on comparison and use-case archetypes, measured by word count and distinct entities covered.

Step 3 - Reassess Competitor Page Archetypes Using Schemas and Sitemap Diffs

Pull each competitor's XML sitemap monthly and diff it against last month's snapshot. What they added is often more informative than what ranks - you see page archetypes 4-8 weeks before rankings reflect them. Combine with robots.txt inspection and Wayback Machine diffs on key templates, then note schema markup on their product, FAQ and comparison pages.

Step 4 - Check Whether Competitors Are Being Cited in AI Answers

Run 10-15 cluster questions through Google AI Overviews and ChatGPT and record which domains are cited. This layer is skipped by most generic guides and changes quickly - treat any snapshot as perishable and re-verify before acting. Straider's AI visibility tracking covers Google AI Overviews and ChatGPT citation monitoring as a documented platform capability, and the platform overview explains how that data feeds prioritisation.