AI visibility tracker

Mentions.so + Ranqer: the revenue-attribution stack

Mentions.so is the AI visibility tracker that closes the loop from citation to revenue — and it covers more LLMs at mid-market prices than any competitor. Ranqer is the content engine that moves the citations Mentions counts. Paired, they're the stack for agencies that need to prove ROI, not just report visibility.

What is Mentions.so?

Mentions.so is a mid-market AI visibility platform trusted by 100+ brands. Platform coverage is unusually wide for the price tier: 8 engines including ChatGPT, Perplexity, Claude, Grok, Gemini, DeepSeek, Llama, and AI Overviews. Notably, Claude and Grok unlock from the $99 Pro tier — most competitors gate these behind Enterprise.

The product's real differentiator is revenue attribution. Mentions.so ties AI visibility changes to traffic lift and downstream revenue impact, not just citation counts. For agencies billing clients monthly, this is the closest thing to defensible ROI reporting in the category — every other tracker stops at 'mention rate changed.'

Workflow is deliberately agency-friendly: unlimited user seats on every tier, white-label from the $399 Agency plan, Kanban-style insights dashboard that treats AI visibility gaps as tasks. The plain-English AI agent (ask questions, get filtered reports) is a small UX differentiator worth noting. Targets solo operators through agencies — the pricing curve scales cleanly from $49 Starter to $399 Agency without awkward jumps.

Who it's for

Agencies that need to prove ROI to clients (revenue attribution is the real lever here), and mid-market brands where Claude, Grok, DeepSeek, or Llama coverage matters — developer-first SaaS, open-source tool makers, brands targeting the Chinese market through DeepSeek. Not the cheapest entry (Otterly Lite at $29 is half the price for solo use), but the best value per platform-covered at the $99-199 mid-market bracket.

Key features

8 AI engines, Claude + Grok from Pro

ChatGPT, Perplexity, Claude, Grok, Gemini, DeepSeek, Llama, and AI Overviews. Only tracker at this price tier that includes Claude and Grok from the $99 plan. DeepSeek and Llama are unique to Mentions in our stack.

Revenue attribution

Traces AI visibility changes to traffic lift and downstream revenue. Most trackers stop at citation counting; Mentions connects the dots through to business impact.

Unlimited seats on every tier

No per-user upcharges. Matches SE Visible's policy — a material cost advantage over Semrush ($99/extra seat) for teams of 3+.

Kanban insights + AI agent

Workflow UX that treats visibility gaps as actionable tasks, plus an AI assistant you can query in plain English. Small but real UX edge for teams coming from project management tooling.

Mentions.so pricing

Tier
Price
What you get
Starter
$49/mo
25 prompts, 1 site, 3 LLMs, unlimited seats
Pro
$99/mo
50 prompts, 5 sites, all 8 LLMs, revenue attribution
Business
$199/mo
100 prompts, 10 sites, full feature set
Agency
$399/mo
300 prompts, unlimited sites, white-labeling, agency workflow

All tiers include unlimited user seats and daily data refresh. Pro at $99 is the sweet spot — 5 sites, all 8 LLMs, revenue attribution included. The Agency tier at $399 is directly competitive with SE Visible Plus ($355, 10 brands) and well under Scrunch Agency Core ($500).

The gap every tracker has

Mentions.so's revenue attribution is meaningful because it closes the loop from visibility to business outcome. But it closes the measurement loop, not the execution loop. When Mentions shows a prompt where your brand is absent and competitors capture the citations, the fix still lives upstream in the sources AI models pull from. Revenue attribution tells you the cost of the gap; it doesn't close it.

46.7%

of Perplexity top-10
citations are Reddit

Profound, 680M citations

24%

of all Perplexity
citations are Reddit

Tinuiti Q1 2026

+73%

Reddit citation share
growth Oct 2025 → Jan 2026

Tinuiti Q1 2026

These numbers come from independent research — Profound's own 680-million-citation study and Tinuiti's Q1 2026 AI Citation Trends Report. The takeaway is the same regardless of which tracker you use: AI models lean heavily on Reddit.

How Ranqer fits in

Ranqer is the content engine that feeds what Mentions.so measures.

Mentions.so's revenue attribution and Ranqer's Reddit content placement pair into the only closed-loop AI visibility stack in the category: Ranqer places comments, Mentions tracks the citation lift and ties it to traffic and revenue. Agencies running this combo can show clients a clean narrative — 'we placed 40 comments in month 1, citations lifted on 12 tracked prompts, branded traffic increased 23%, attributed revenue moved $X.' Every other stack in this space stops at citation lift and leaves the ROI story incomplete. Mentions Pro ($99) + Ranqer ($129) = $228/mo gets you the closed loop.

See what Ranqer would post for you

The Mentions.so + Ranqer loop

01
Track baseline across 8 LLMsMentions.so

Mentions runs your prompts across ChatGPT, Perplexity, Claude, Grok, Gemini, DeepSeek, Llama, and AI Overviews. Revenue attribution baselines current traffic and revenue tied to each tracked prompt.

02
Identify revenue-weighted gapsMentions.so

Unlike plain mention rate, Mentions flags prompts where the gap is costing attributable revenue. This prioritises the content list — target high-revenue prompts first, ignore trivia.

03
Seed Reddit threads with RanqerRanqer

Ranqer finds live threads for the revenue-weighted gap prompts, drafts contextual comments, and posts from vetted accounts. Threads index within days and enter the retrieval pipeline for all 8 tracked engines.

04
Show clients the closed loopBoth

Mentions re-tracks daily. Citations lift on targeted prompts; traffic attribution updates; revenue impact is visible within 2-3 months. White-labeled report goes to the client with the full measurement-to-money story.

Frequently asked questions

Mentions.so vs Peec AI — both are mid-market with Slack support claims?
Different strengths. Peec has direct founder Slack access and rates 5.0 on G2 but covers 6 platforms on entry. Mentions covers 8 platforms (including Claude, Grok, DeepSeek, Llama) from Pro tier and has revenue attribution. For technical teams or brands where Claude/Grok matter, Mentions wins. For hands-on support experience, Peec wins. Both are in the €90-199 Pro bracket.
Is revenue attribution real or marketing framing?
Partially real. Mentions connects AI visibility changes to traffic via session-level attribution and can correlate to revenue via GA4/e-commerce integrations. It's not perfect multi-touch attribution — nothing is for AI search yet — but it's measurably closer than the citation-rate reporting every other tracker ships. For agencies that need to justify retainers, it moves the ROI story forward.
Why Agency tier at $399 over SE Visible Plus at $355 for 10 brands?
Different trade-offs. SE Visible Plus includes 1,000 prompts per plan for 10 brands ($35/brand cost basis). Mentions Agency includes 300 prompts but unlimited sites plus revenue attribution and white-labeling. SE Visible is cheaper per prompt; Mentions is better per attributable dollar proved. Pick by what your client contract rewards — volume or ROI narrative.
What about DeepSeek and Llama tracking — does that matter?
Depends on ICP. DeepSeek is significant in Chinese market and growing in cost-sensitive developer segments globally. Llama is dominant among open-source AI tool users and self-hosted deployments. For most B2B SaaS targeting Western markets, neither moves the needle yet. For brands selling into China, developer tooling, or AI infrastructure categories, these add materially to coverage versus every other tracker we stack.
How does Ranqer plug into the revenue attribution flow?
Tag Ranqer-seeded threads with custom timestamps, feed those into Mentions' attribution events. The correlation shows up as 'these 12 prompts gained citations within 4 weeks of Ranqer campaigns; attributable revenue moved $X.' Not automated yet, but the Mentions API and Ranqer's comment publishing data are easy to reconcile for monthly reporting. Agencies typically build this in the first 60 days and reuse the template across clients.

Related reading

Sources

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