Content Gap + AEO Opportunity Playbook

What this playbook does

Most DTC content programmes run on intuition and editor-calendar inertia. A founder has a feel for what to publish, a writer has a preferred beat, and the calendar fills up without anyone knowing whether the pieces will compound. Six months later, traffic has barely moved and nobody can say which of the last twenty posts earned the invested hours. This playbook replaces that with a scored opportunity list grounded in real data.

The method runs in four layers. First, a content gap analysis: crawl your own site, pull ranked keywords for 3 to 5 competitors, compute the true set difference so you see the keywords competitors earn traffic on that your brand does not. Second, an AEO citation audit across ChatGPT, Claude, Perplexity, and Google AI Overview on 30 to 50 category questions, flagging every question where a competitor is cited and your brand is absent. Third, SERP intent mapping and topic clustering, so each opportunity lands in a pillar-cluster architecture your team can execute. Fourth, opportunity scoring with a 0 to 1,000 composite, ranking the top 20 to 50 pieces and producing full briefs for the top 10.

What you get

Ten deliverables in one consolidated report, delivered two ways: a Word doc you can share, and the markdown source you can keep in your repo. Supporting CSVs land in data/content-gap/YYYY-MM-DD/.

• What you have and what ranks. Own-site content inventory: every indexed URL with type, word count, ranking query, impressions, CTR. Orphan, thin, and stale flags.
• Top-performing pages and clusters. Competitor content footprint: per-competitor top 50 pages clustered into 4 to 8 topic buckets, with the strongest cluster called out.
• Winnable terms competitors own. Keyword gap list scored and filtered: KD under 40, volume 30+, across 3 to 5 competitors, enriched with SERP intent and commercial signals.
• Where LLMs cite competitors and where the category has whitespace. AEO citation audit across ChatGPT, Claude, Perplexity, and Google AI Overview on 30 to 50 queries, classified into competitor-owned, category-whitespace, client-present, or unanswered.
• Informational to transactional mix. SERP intent map clustered by search intent and buyer-journey stage so each opportunity lands in the right funnel slot.
• Opportunities ranked by volume, ease, and AEO fit. Composite 0 to 1,000 score with commercial intent and effort estimate surfaced on every row.
• Four to eight pillars you can own. Pillar-and-cluster architecture with 8 to 20 sub-topics per pillar, internal-link map, and publishing sequence.
• Production-ready briefs to ship. Top 10 full briefs with target keyword, secondary keywords, search intent, competitor-beating angle, AEO-extraction H2 structure, schema, internal links, external citations, statistics, word-count target.
• Priority queue for the next 90 days. 30-60-90 roadmap with cluster order, cadence, dependencies, owners, and the metric to watch per piece.
• Double-hit clusters to ship first. Cross-source synthesis: the topics with a SERP gap AND an LLM citation gap together, ranked to the top of the roadmap. The single highest-priority one becomes the launch cluster in the 30-60-90 plan. This is the pass most SEO tools leave for you to stitch together.

One Word doc plus markdown source. Supporting CSVs in the data folder.

How the playbook flexes

The run adapts to your data maturity and the depth of scope you want.

Tools the playbook uses

Public data, through our own accounts.

• Serper for live SERP snapshots, AI Overview presence, featured-snippet capture
• Keywords Everywhere (free tier covers the volume lookups the playbook needs)
• ChatGPT, Claude, Perplexity for AEO citation probes across 30 to 50 category questions
• Google AI Overview scraped via Serper on the same question set
• Screaming Frog CLI for a lightweight public crawl of the brand and competitors

Your own data, once access is shared.

• Ahrefs for the native content-gap tool, competitor top pages, and cluster structure (optional; DataForSEO covers the same ground via two calls plus a Python set difference)
• DataForSEO for ranked keywords, SERP enrichment, intent classification, and keyword difficulty
• Google Search Console for your own query footprint, impressions, CTR, and position by URL
• Screaming Frog licensed for full site crawls beyond the free 500-URL cap

Where a tool is not configured, that section stubs honestly with a clear access-grant path. The external layer alone produces a genuinely useful report. GSC unlocks the full own-site depth.

The synthesis pass: double-hit clusters

A standard content gap analysis gives you a keyword list. An AEO audit gives you a citation list. Both are useful on their own. The playbook synthesises them into double-hit clusters: topic areas with a SERP gap on the keyword layer (Section 3) AND an LLM citation gap on the AEO layer (Section 4), lined up for a single pillar-and-cluster investment to earn ranking traffic and LLM-citation attention together. Those double-hit clusters sort to the top of the roadmap, and the single highest-priority one becomes the launch cluster in the 30-60-90 plan. This is the pass a senior content strategist does in their head, and the deliverable most SEO tools leave for you to stitch together.

Questions we get asked