Does Reddit influence ChatGPT answers?

In many categories, yes. Models cite Reddit threads directly and lean on community consensus when recommending brands. Reddit intelligence shows you which threads and subreddits models pull from for your prompts.

How do I find websites to pitch for AI citations?

Rank the domains AI already cites for your prompts. A placement on a site the models cite weekly is worth more than a higher-authority site they ignore. LLM Pulse builds that ranked list from your own tracked prompts.

Do YouTube videos appear in AI answers?

Yes. Models cite videos and channels as sources, and YouTube analytics shows which ones carry weight in your category, so video becomes part of the authority plan.

Can I measure whether a PR placement moved AI visibility?

Yes. Prompts re-run weekly across five AI models, so you can annotate the placement date and watch mentions, citations, and share of voice respond in the following runs.

How is this different from a backlink tool?

Backlink tools rank links by search authority. LLM Pulse ranks sources by what AI models cite for your prompts, which is a different list, and it includes Reddit threads and YouTube videos that link databases treat as noise.

What does off-site tracking cost?

Plans start at EUR 49 per month with a 14-day free trial. Unlimited team members means PR, content, and SEO can share one account.

For Digital PR and Link Building Teams

Grow the off-site mentions that AI trusts

AI models decide who to recommend from what the rest of the internet says about you. Find the Reddit threads, YouTube videos, and third-party sites that drive citations in your category.

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A pitch list ranked by what the models cite

Build outreach from citation data, catch a rival's coverage early, and credit every placement in the weekly runs.

Source Ranking

A media list the models wrote for you

Instead of pitching by domain authority, you pitch the domains and exact URLs the models already cite for your prompts, ordered by how often they get cited. The long tail matters here. A niche blog cited every week is a better target than a national masthead the models ignore.

Exact URLs to pitch, with citation counts
Niche sites cited weekly beat ignored mastheads
Export the ranked list for outreach

Explore citation analysis

Rival Coverage

Catch a rival's placement while it is fresh

A competitor climbing in the weekly numbers usually means a placement just landed. Each rival's visibility, positions, and share come from the same weekly answers as yours, so the jump shows up within a run and you can trace it to the outlets whose coverage is doing the work.

Weekly deltas expose a rival's PR win
Trace the climb to the outlets behind it
Pitch those outlets with a better story

Explore competitor tracking

Catch a rival's placement while it is fresh

Placement Impact

Proof a placement moved the answers

Clipping reports stop at impressions. Here the weeks after a placement show whether brand mentions rose and share of voice followed, so PR reports the outcome the CMO actually asks about: presence in the answers buyers read.

Mention trends in the weeks after a placement
Share of voice shift on the same page
Credit each placement with data, not clippings

Why PR Teams Build Authority with LLM Pulse

Off-site signals, ranked and measured, so PR effort goes where AI models look.

Mine the Threads AI Reads

Reddit intelligence shows the subreddits and threads cited in your category, and how your brand comes up in them.

Track Video Citations

YouTube analytics surfaces the channels and videos AI models draw on, a source most brands never look at.

Rank the Sites That Matter

Citation source discovery ranks third-party domains by how often AI cites them for your prompts, so PR gets a target list backed by data.

See Where Rivals Are Named

Find the publications and communities that cite competitors and never mention you. That list is your outreach queue.

Measure Every Placement

After a placement lands, weekly runs show whether mentions and citations follow, per model and per prompt.

Intelligence Others Skip

Reddit and YouTube source intelligence in the same platform as your visibility tracking, a combination you will not find elsewhere.

How Off-Site Authority Building Works

Four steps from source discovery to measured placements.

1

Discover Your Category's Sources

See every third-party domain, thread, and video AI models cite for your tracked prompts.
2

Rank the Targets

Sort sources by citation frequency and competitor presence to build a pitch list worth working.
3

Run the Outreach

Take the list to your digital PR and community work, from guest contributions to honest Reddit participation.
4

Measure the Response

Watch weekly runs for new mentions and citations, and credit the placements that earned them.

How PR Teams Use It

Off-site work that shows up in AI answers.

Build a Data-Backed Pitch List

Replace guesswork media lists with the domains AI already cites in your category.

Join the Right Conversations

Find the Reddit threads where buyers compare options and your brand is missing from the discussion.

Sell PR on Outcomes

Report placements against mention and citation gains instead of impressions alone.

Counter Competitor Coverage

Spot the third-party pages powering a rival's visibility and earn your way onto them.

"LLM Pulse is a pioneering response to the need to measure performance across different LLMs. At TecnoCampus we need maximum transparency, the ability to parameterize results and to carry out visibility audits for our brand, now also in the increasingly established field of AI. LLM Pulse gives us all of that in a single place."

Jordi Perez Rubio

TecnoCampus

Frequently Asked Questions

Common questions about building third-party authority for AI search.

: In many categories, yes. Models cite Reddit threads directly and lean on community consensus when recommending brands. Reddit intelligence shows you which threads and subreddits models pull from for your prompts.
: Rank the domains AI already cites for your prompts. A placement on a site the models cite weekly is worth more than a higher-authority site they ignore. LLM Pulse builds that ranked list from your own tracked prompts.
: Yes. Models cite videos and channels as sources, and YouTube analytics shows which ones carry weight in your category, so video becomes part of the authority plan.
: Yes. Prompts re-run weekly across five AI models, so you can annotate the placement date and watch mentions, citations, and share of voice respond in the following runs.
: Backlink tools rank links by search authority. LLM Pulse ranks sources by what AI models cite for your prompts, which is a different list, and it includes Reddit threads and YouTube videos that link databases treat as noise.
: Plans start at EUR 49 per month with a 14-day free trial. Unlimited team members means PR, content, and SEO can share one account.