LLM SEO tool: see where AI answers name you, and where they name someone else
By Vladimir Boldyrev · LLMBrandScan · Published October 2, 2026 · Reviewed October 2, 2026
LLM SEO has no rank tracker you can open and read. The only way to know whether it is working is to ask the engines the same questions before and after, and compare what they say.
Live engine status (2026-10-18): ChatGPT (API with web search), Gemini (grounded), Claude (API with web search) and Google AI answers (AI Overviews) are answering. Perplexity Sonar is temporarily unavailable at the provider — scans run on the engines that answer, and an engine that does not answer is not charged. This note updates by itself when an engine comes back.
LLM SEO is the work of making large language models name and cite your brand when people ask them for recommendations, and an LLM SEO tool is the part that tells you whether that work moved anything. It does not rewrite your pages. It asks the engines the questions your buyers ask, repeats each one so that run-to-run variation shows up as a range, and records which brands were named and which sources were cited. LLMBrandScan runs that measurement as a one-time scan: a $19 Quick check samples 90 answers across 3 engines, and you can run the same scan again after a content change to compare the two reports. Measure first, change one thing, measure again; without the first measurement there is nothing to compare against. A tool that only shows you a score today cannot tell you whether last month's work helped, which is why the scan keeps the raw answers and cited sources.
The measure, change, re-measure loop.
1. Baseline
Scan your category's buying questions. The report is your starting number, dated.
2. Read the gaps
Look at the lost slots and the cited sources: which questions go to a competitor, and which pages the models quote.
3. Change one thing
Publish the page, fix the listing or earn the mention the sources point to. One change at a time keeps the comparison honest.
4. Re-scan
Run the same scan again. Same questions, same engines, so the two reports can be laid side by side.
A Quick check today asks ChatGPT (API with web search) and Gemini (grounded). The background is in our guides to GEO, AEO and LLM SEO and being recommended by ChatGPT.
What the tool does not do.
| Does it | Answer |
|---|---|
| Edit or publish content | No. It measures; the content work is yours or your agency's. |
| Track Google keyword rankings | No. It samples AI answers, not search result pages. |
| Alert you daily | Not as the core product. A scan is a dated snapshot you repeat when you choose. |
| Promise a stable number | No. AI answers vary, so every figure is reported as a range with a confidence label. |
Price.
A Quick check is $19, paid once. A full Audit is $149. Compare with monthly tools in the dated comparison or read how the AI visibility audit is run.
Questions.
What is an LLM SEO tool?
Software that measures how large language models treat your brand: whether they name it, in what position, next to which competitors, and with which sources. It supplies the evidence that LLM SEO work is judged against.
Is LLM SEO the same as GEO or AEO?
The three terms overlap heavily. Our guide on the difference sets out where they diverge; for choosing a tool, the useful question is whether it measures the engines your buyers actually use.
Can I check my brand for free first?
Yes. The free AI visibility checker runs three unaided questions on the engines answering right now and shows whether each one named your brand. One run per person per day.
Keep reading.
- Free AI Visibility CheckerOne brand, three unaided buyer questions, the engines that answer right now. Mentioned or not, per engine, in under a minute.
- AI Visibility AuditWhat a one-time audit measures, what lands in the report, and what it costs — before you spend anything.
- Best AI Visibility Tools ComparedOtterly, Peec AI, Profound, Ahrefs Brand Radar and Semrush next to a one-off scan — prices checked on the vendors' own pages.
- LLMBrandScan vs. ProfoundProfound's published pricing and scale as of mid-2026, next to what a one-time scan costs and covers. Every number sourced and dated.
- LLMBrandScan vs. Peec AIWhat Peec AI costs and covers as of mid-2026, and the honest decision rule for continuous monitoring versus a single dated audit.
- What Generative Engine Optimization (GEO) Actually MeansThe definition, how it differs from SEO, and why 'optimizing for AI answers' is a different job than optimizing for a ranked list.
- Answer Engine Optimization (AEO): Myths vs. FactsAEO, GEO, and LLM SEO get used interchangeably online. Here's what's actually true about each — and where the myths come from.
- How to Create an llms.txt File (Step by Step)A working llms.txt template, what belongs in it, and an honest read on what it does and doesn't do for AI visibility.
- AEO vs. GEO: A Head-to-Head ComparisonThe two acronyms compared axis by axis — origin, scope, mechanics, what each one measures — and a decision rule for which one your work actually is.
- GEO vs. AEO vs. LLM SEO: What's the Actual Difference?Three overlapping terms for three overlapping-but-distinct jobs. A disambiguation guide so you stop guessing which one you need.
- What Is AI Visibility, and How Is It Actually Measured?The metrics the category has converged on — Visibility Score, Share of Voice, first-mention — explained from first principles.
- How to Improve Your Odds of Being Recommended by ChatGPTSeven concrete, testable levers — and three things that don't work no matter how confidently they're sold to you.
- How Perplexity Chooses Sources to CiteThe mechanics of Perplexity's citation model, what makes a page citable, and how to track whether you're being cited at all.
- Optimizing for Google AI OverviewsWhat triggers an AI Overview, how it differs from classic SGE and organic ranking, and a practical checklist to work through.
- AI Brand Monitoring: Why a One-Time Check Isn't EnoughAI answers drift month to month. What ongoing monitoring actually requires, and the DIY-vs-tool tradeoffs honestly laid out.
- AI Share of Voice: The Formula and a Worked ExampleThe exact formula, a worked numeric example with real arithmetic, and how it maps onto the classic marketing metric it's borrowed from.