How to Audit an SEO Strategy for Google Rankings and LLM Citations

How should agencies kick off an SEO audit with this system?

Start with the client's buyer, not a keyword tool. Gather the required inputs — a clear business description and target customer profile — then run the core exercise: 'If I were this client's customer, what would I search right before buying?' This surfaces High Buying Intent (HBI) keywords that volume-sorted tool exports often bury. Rank every keyword by funnel position, with bottom-of-funnel queries containing 'buy', 'where to', 'how much', and 'best [X] near me' at the top.

Then audit the client's existing content against this list. Are they ranking for high-volume, low-intent terms that bring traffic but no revenue? That's the single most common and most expensive mistake — and fixing it is where you demonstrate value fast.

How do you apply content type emulation at scale?

For every priority keyword, search it on Google and in ChatGPT and record the dominant format: listicle, how-to, video, comparison table, or service page. Build a format map. Then audit whether the client's pages match the winning format. If listicles dominate a keyword but the client published a landing page, that page will never rank regardless of quality — flag it for a format change.

For new content, produce in the emulated format and make it genuinely good: images, GIFs, tables, bullets, internal links, external authoritative links, pull quotes, and clear headers. Remember that LLMs crawl and cite this content even when human click-through is low, so quality is non-negotiable across every deliverable.

How do agencies build backlinks systematically?

Treat backlinks as a non-negotiable trust signal in competitive niches. Build a repeatable outreach process: identify the listicles and roundups ranking for each client's target keywords, contact owners, and negotiate inclusion. Prioritize the authority of linking domains over raw volume. For every client, maintain a target list of high-authority domains and track placements won. These same roundups frequently feed LLM citations, so each placement serves double duty.

How do you track and report on both Google and LLM performance?

Set up dual tracking as a standard deliverable. Report Google keyword rankings for each HBI keyword and position changes over time. Separately, track LLM brand citations: query ChatGPT, Gemini, Perplexity, Grok, Copilot, and Claude for the client's target prompts and log whether and how the brand appears. Add sentiment tracking — positive mentions drive conversions, negative ones suppress them. When sentiment is negative, identify the source content and commission new authoritative pieces to shift it. This dual-signal reporting differentiates your agency from competitors who only report Google rank.

What's the repeatable workflow to deliver to clients?

Package it as five steps: (1) map HBI keywords from the buyer's perspective, (2) emulate the dominant format per keyword, (3) produce genuinely high-quality content, (4) build authoritative backlinks, (5) track Google rankings and LLM citations with sentiment. Run it as a continuous loop — expand to new HBI keywords, improve underperformers, and monitor competitors each cycle.

What's the next step for your agency?

Turn this into a productized audit. For your next client, map their top ten HBI keywords, build a format map, flag format mismatches and low-intent targeting, and present a dual-tracking dashboard covering both Google and ChatGPT. That single deliverable will show clients a gap no volume-only agency is addressing.