LLM SEO tool that shows which pages AI engines cite
An LLM SEO tool tells you how large language models such as ChatGPT, Gemini, Perplexity and Claude talk about your brand, and which web pages they lean on. MentionRadar runs your prompts weekly, records mentions, position and cited URLs, and pairs them with your web mentions.
- Tracked prompts run weekly on up to 5 engines
- Cited URLs for every answer (Growth+)
- Position and recommendation per prompt
- Web mentions from the sources models read
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reddit.com/r/bikecommuting
42
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urbanrider-reviews.com
31
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kestrelbikes.com/compareYour site
18
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youtube.com
15
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commutergear-blog.com
11
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kestrelbikes.com/sizingYour site
6
Why an LLM SEO tool starts from cited pages
Language models with web search do not invent their shortlists from nothing. ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews read pages, then summarise them. The pages they cite for your category prompts are the clearest evidence you will get of what shapes the answer.
That is why an LLM SEO tool is only useful if it shows those pages next to the verdict. "You are not named for best commuter e-bike" is a symptom. "You are not named, and the engine cited a Reddit thread and two review sites that do not mention you" is a task list.
MentionRadar runs your tracked prompts every week on up to five engines, stores the answer, your position and the competitors named, and from Growth upward the URLs the engine cited. Your own domain is marked, so you can see at a glance whether your pages are part of the conversation or whether third parties speak for you.
A practical LLM SEO workflow, from evidence to outreach list
Five steps most teams repeat every month. The tool covers the measuring, your team does the writing and the pitching.
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1
Group the prompts by intent
Split tracked prompts into category questions ("best commuter e-bike"), comparisons ("Kestrel vs Alto") and problems ("e-bike for a steep commute"). Each group tends to cite a different kind of page.
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2
Export the cited URLs
For each group, list the cited pages from the last four weekly runs and sort them by how often each page is cited. Twenty pages usually cover most of the citations in a category.
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3
Split own pages from third party pages
Your own cited pages are assets to protect and update. Third party pages fall into two piles: ones that mention you, and ones that list competitors only.
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4
Turn the piles into two lists
The content list holds your pages to improve or the missing page type, for example a comparison or sizing guide the engines keep citing elsewhere. The outreach list holds the third party pages that skip you, with the editor or community to approach.
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5
Re-measure on the weekly run
Leave the prompt set unchanged and watch the same rows. A new citation of your page or a review that now names you shows up as a changed verdict within a few weekly runs.
| Cited page | Cited | Names you | Action |
|---|---|---|---|
| urbanrider-reviews.com/best-commuter | 31 | No | Pitch for the next update |
| reddit.com/r/bikecommuting | 42 | Yes | Answer open questions |
| commutergear-blog.com/e-bikes | 11 | No | Offer a test bike |
| kestrelbikes.com/compare | 18 | Yes | Refresh specs and prices |
LLM SEO signals compared with classic SEO signals
The groundwork overlaps. What you measure, and what counts as winning, does not.
| Question | LLM SEO signal | Classic SEO signal |
|---|---|---|
| Are we visible? | Brand named in the answer | Page ranks on the results page |
| How visible? | Position in the answer list, recommended or not | Ranking position and click share |
| Who beats us? | Competitors named in the same answer | Domains ranking above us |
| Why? | Pages the engine cited | Backlinks, relevance, page quality |
| What counts as a win? | Recommended in the answer, own page cited | Click to our page |
| How often to measure? | Weekly on a fixed prompt set, answers vary between runs | Daily rank checks are stable enough |
| Unit of tracking | Prompt, a full question in natural language | Keyword, a short query |
If your team frames the same work as optimising for AI engines in general, the generative engine optimization tool page covers the measurement loop, and the AEO tool page has a checklist for answer engine optimization. If you are choosing between trackers, see how per engine add-on fees change the bill in Otterly AI alternatives and pricing.
Where the limits of LLM SEO tracking are
Answers vary between runs
The same prompt can return a slightly different list on two days. Treat one answer as a sample and a four week series as the signal.
Prompts are a sample of demand
No tool sees what people type into a chat window. A tracked prompt set represents the questions you expect buyers to ask, so keep it close to how customers describe their problem.
Citations explain, they do not guarantee
A page that is cited often is a strong lead, not a lever. Read the overall picture with the AI visibility tracker score before you reorder a quarter of work.
Questions about LLM SEO tools
What does an LLM SEO tool actually measure?
It measures the output of language models for the questions your buyers ask. For each tracked prompt MentionRadar records whether your brand is named, its position in the answer, whether the model recommends it, which competitors appear and, on Growth and higher, which URLs the engine cites. Those are the signals you can act on.
Is LLM SEO different from regular SEO?
The groundwork overlaps: crawlable pages, clear answers, strong references from other sites. The difference is the output. A search results page lists ten links, an AI answer names a few brands and cites a handful of sources. You cannot see that output in a rank tracker or in search console data, so you need prompt level tracking.
Which engines are included?
Starter runs 15 prompts weekly on ChatGPT, Perplexity and Google AI Overviews. Growth runs 40 prompts on all five engines, including Gemini and Claude, and adds citation sources. Agency runs 150 prompts and Enterprise 300.
Why weekly and not daily?
AI answers vary from run to run, so a daily reading mostly shows noise. A weekly run on a fixed set of prompts gives a stable series you can compare month over month, and it keeps the price public and predictable. Changes that matter, such as a competitor replacing you, show up clearly in a weekly series.
Can the tool tell me what content to write?
It shows evidence, not a content plan written for you. The cited URL list tells you which formats and which publishers the engines trust for your category, and the web mention feed shows which threads and reviews are shaping the conversation. Most teams turn that into a short list of pages to improve and sites to pitch.
How do I start without paying first?
Scan your brand from the homepage. You see real web mentions and one AI engine check before creating an account. Ongoing weekly prompt tracking, citation sources and alerts start with a paid plan, from $24 a month billed yearly.
Find out which pages the models trust in your category
Run a scan of your brand. You see real mentions and an AI engine answer in about a minute, before you create an account.