LLM SEO Check vs Conductor: Content Relevance Diagnostic vs Enterprise Monitoring

People ask us how LLM SEO Check compares to Conductor. The honest answer: they are different tools for different problems. Conductor is enterprise brand monitoring across search channels. Our tool is a content relevance diagnostic plus optional human-led consultation. Comparing them head-to-head is like comparing a corporate BI dashboard to a one-off specialist audit.

We built getaisearchscore.com to answer one question: does your content actually answer the queries your audience asks AI engines, and if not, where are the gaps? Conductor answers a different question: how is your brand performing across search channels over time? Both matter. Neither replaces the other.

What Conductor Does Well

Conductor is a serious platform. It tracks thousands of keywords over time, monitors competitor movements, and gives marketing teams dashboards they can show to executives. If you have a 20-person SEO team and need ongoing visibility reporting across traditional and AI search, Conductor is built for that.

It also has real AI monitoring features now: brand tracking in AI Overviews, citation detection, competitive share of voice. Those are continuous monitoring capabilities we do not offer. Our Citation Reality component (Perplexity monitoring) runs once per paid scan, not as a continuous feed.

What Our Tool Does Differently

LLM SEO Check is a content relevance diagnostic, not a monitoring platform. You run a scan and get a Content Relevance Score with five components: Query Coverage (what share of queries your site answers), Content Depth (how well it answers them), Sub-Intent Coverage (whether it addresses the full fan-out of each query), Citation Reality (what Perplexity actually cites, on paid scans), and Technical Health (the legacy 26-check technical audit as one subcomponent).

The free tier runs the full four-component audit (QC, CD, SI, TH) with per-query breakdowns and no paywall on core value. The €149 Starter consultation adds Citation Reality via Perplexity, a human-led review, 20-40 prioritized rewrite tasks, platform playbooks, and a follow-up rescan. It is a one-time cost, not a subscription, and we run limited slots per month to keep the consultation quality high.

The distinctive part is the content relevance methodology. We decompose each monitoring query into 3-5 sub-intents using LLM-based query fan-out analysis, then check whether any page on the site addresses each sub-intent with enough depth. That decomposition is the closest thing we have to measuring “does the content actually answer the real question” - and our research showed this signal predicts AI citations with AUC 0.915.

Where Our Tool Falls Short

We want to be upfront about limitations. Our tool runs a scan once per engagement. It does not track how your visibility changes week over week. If you fix the issues it finds and want to see the impact, you need to run another scan manually or include it in the Starter follow-up rescan.

There is no team collaboration, no role-based access, no executive dashboards. If your workflow involves multiple stakeholders reviewing SEO data together, Conductor handles that. Our tool gives you a scan result, a PDF report, and (on Starter) a human expert walk-through. That is it.

The free tier crawls up to 50 pages. Paid Starter scans crawl up to 200, with query-aware page expansion on top. For a large e-commerce site with thousands of product pages, that is a sample, not a full audit. Conductor can monitor your entire domain.

The Uncomfortable Truth Most Tools Share

Something we rarely see discussed in comparison articles: most tools in this category have not publicly demonstrated that the metrics they track actually predict AI citations.

We published two findings on our own tool. The first: our original 26-check technical score did not predict citations (r=0.009, p=0.849 on 441 domains). The second: content relevance did (AUC 0.915 on 438 domains and 13,140 domain-query pairs). That drove the pivot of our entire scoring model from technical readiness to content relevance.

Conductor does not publish equivalent correlation data. Neither does any other AI SEO monitoring tool we are aware of. This is the evidence gap the entire category faces. We are saying this about our own product to make the point: a tool that publishes null results is not weaker than one that publishes only positive claims. It is more trustworthy.

When to Use Which

Use Conductor if you are an enterprise with an existing SEO team, need ongoing monitoring across traditional and AI search, need executive dashboards and team collaboration, and have the budget for annual contracts. It is a mature platform with real capabilities we do not offer.

Use LLM SEO Check if you want a deep content relevance diagnostic, need prioritized rewrite tasks tied to specific queries and sub-intents, prefer a one-time cost over a subscription, or want a human expert consultation rather than a dashboard. It is built for people who want to check, fix, and move on - with or without a follow-up.

Use both if you want a content relevance baseline and implementation plan from us, then ongoing brand monitoring from Conductor. They are not mutually exclusive.

See for Yourself

Run a free content relevance scan and decide if the output is useful for your situation. If you want context on how our approach differs from traditional SEO, read AI Search Readiness vs Traditional SEO. If you want the research that drove the pivot from technical checks to content relevance, read the content relevance study. No pitch, no pressure. The results speak for themselves, or they do not.