AEO / GEO monitoring

Get mentioned more
in AI answers.

We monitor how seven AI models describe your brand every day, show you which sources they trust, and tell you what to fix. $1 per question per month, every model included, no seats and no minimum.

Answers within minutes. No card, no call, no implementation project.

SpendLayer / Visibility7D90D1Y
Visibility
38.4%
9.1 pts
Share of voice
21.7%
4.2 pts
Avg. position
2.9
0.8
Sentiment
+0.61
0.04
Visibility by brand% of tracked questions where each brand is namedSpendLayerCostGuardPayCadenceInvoiceIQ
5040302010MayJunJulAugNow

Tracking AI visibility for

  • StreamkapStreaming data
  • MarginOpsPayments
  • PrivosConsumer fintech
  • Lola HealthHealthcare

The answer, ranked

Who the models name, and where you sit

Every tracked question is scored per model. You get the running order, how positive the mention was, and the exact sentence the model used, so a number on a chart is always one click from its evidence.

  • Position. First mention wins the customer. We track where you land in the list, not just whether you appear.
  • Sentiment. “A solid budget option” and “the market leader” both count as a mention. They are not the same result.
  • Share of voice. Your mentions as a share of every brand named, so growth is measured against the field.
  • The raw answer. Stored verbatim, per model, per run. Nothing is a black box.

Brand rankings

234 questions · 7 models · 90d
BrandVisibilitySoVPos.Sentiment
1CostGuard39.2%24.1%2.4+0.68
2SpendLayerYou38.4%21.7%2.9+0.61
3PayCadence27.6%17.0%3.6+0.44
4InvoiceIQ18.9%11.6%4.1+0.09
5Reconcilr12.3%7.6%4.8-0.12

Coverage

Five models. Not a sample of one.

Answers diverge sharply between models. The brand that leads in ChatGPT often trails in Perplexity, so checking one and calling it “AI visibility” is how you get a confident, wrong answer.

  • ChatGPT41.0%234 questions
  • Claude44.8%234 questions
  • Gemini36.3%234 questions
  • Perplexity29.5%234 questions
  • DeepSeek26.4%234 questions

Cause and effect

Where the answers come from, and what they send you

Visibility is downstream of citations. SignalKit records every source a model pulled from, then lines it up against the AI referral traffic and crawler activity actually hitting your site.

Most-cited sources

across 1,872 answers
DomainTypeCitationsYou cited
g2.comReview312Yes
reddit.comCommunity241No
capterra.comReview188Yes
techradar.comEditorial156No
spendlayer.aiOwn134Yes

AI referral traffic

GA4 · 90d
MayAug
  • Crawler log. Which AI crawlers fetched which pages, and how often.
  • Content gaps. Questions where competitors are cited from sources you are absent from.
  • Recommendations. The specific pages to write or fix, ranked by the visibility they would move.

Setup

Type a domain. Get answers the same day.

There is no implementation project. Paste your URL and SignalKit crawls the site, works out what you sell, drafts the questions your buyers actually ask, and finds the competitors already showing up for them.

  1. 1

    Paste a domain

    We read the site and infer your category, positioning and competitive set. No tag, no script, no data layer.

  2. 2

    Approve the questions

    You get a drafted list with real AI search volume attached. Keep the ones that matter, edit the rest, add your own.

  3. 3

    Answers start landing

    First results within minutes, then a fresh run every day. Alerts fire when you drop, when a rival climbs, or when tone turns.

  • Optional GA4 and Cloudflare connections for referral and crawler data
  • CSV and PDF export on every view
  • Email and Slack alerts on movement
  • REST API with per-project scoped keys

For agencies

One login. Every client. Costs that stay predictable.

Per-seat pricing punishes you for growing. SignalKit charges per tracked question, so a client with 20 questions costs $20 a month and a client with 200 costs $200, and you know both numbers before you pitch.

  • Projects are isolated. Separate brands, competitors, questions and reports per client.
  • Scoped API keys. Issue a key that can only read one client's project, for when a client wants their own dashboard feed.
  • Exportable reporting. CSV and PDF per project, ready to drop into the monthly deck.
  • Linear cost. No per-client licence, and no tier jump at client 11.
Start with one client

Agency rollup

12 clients · 1,140 questions
ClientQuestionsVisibility90dCost
SpendLayer23438.4% 9.1$234
Vantage Property9622.1% 3.4$96
TideRock Legal14051.7% 1.2$140
Northbay Freight7214.9% 2.8$72
Meridian Health18844.2% 6.0$188
All clients1,140··$1,140

Try it now. Free instant audit.

Paste any URL and see how AI-ready your site is. No signup required.

Also included

Pull your data into any AI tool

SignalKit ships an MCP connector, so Claude, Cursor or your own agent can query your visibility data directly and write the analysis for you. Handy if you live in those tools. Entirely optional if you do not.

// connected to SignalKit
> which questions did we lose ground on this month?
 
Three declines vs July:
  “best expense tool for startups” 42% → 31%
  “expense software with API” 38% → 29%
  “cheapest expense tracker” 27% → 22%
 
All three now cite a G2 listicle you are absent from.

Frequently Asked Questions

Everything you need to know about SignalKit and LLM brand monitoring.

How much does SignalKit cost?

$1 per tracked question per month, with all five models included on every question. Nothing else changes the bill: seats, projects, competitors, exports and API access are all included. Add a question mid-month and you pay the prorated remainder; remove one and the charge stops. No tiers, no contracts.

Which AI platforms do you track?

SignalKit tracks five: ChatGPT, Claude, Perplexity, Gemini and DeepSeek. All five run on every tracked question at no extra cost, because a brand that leads in one model often trails in another and a single model is not a sample.

Do you scrape the chat UIs or use official APIs?

Official APIs only. We query every LLM through its published API. Scraping chat UIs produces unreliable data because results vary by session, cookies, location, and A/B tests. API access gives us deterministic, reproducible results with exact model version and token counts logged.

How does the REST API work?

Every account gets API keys and full REST API access from day one. Pull visibility scores, sentiment, position data, citations and raw AI responses programmatically. Keys can be scoped to a single project, which is useful if you want to give a client a feed of their own data and nothing else.

What is the MCP server?

SignalKit ships an MCP (Model Context Protocol) server that works with Claude Code, Cursor, and Cline. It lets AI coding assistants query your brand monitoring data directly. Set it up once and your agents can check visibility scores, pull competitor data, or trigger audits without leaving your editor.

Can I use SignalKit with AI agents and automated workflows?

Yes. SignalKit is built for agents, not just humans clicking buttons. API keys, structured JSON responses, webhook alerts, and the MCP server make it easy to plug brand monitoring into any automated pipeline. Use it from scripts, CI/CD, or agent frameworks.

What is LLM brand monitoring?

LLM brand monitoring tracks how AI assistants like ChatGPT, Claude, and Perplexity mention your brand when users ask questions. As more people use AI for product research and recommendations, knowing when and how AI talks about your brand is essential. This is sometimes called Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO).

How quickly do I get results?

Your first results appear within minutes of adding prompts. After that, prompts run automatically every day and results update in your dashboard (and via the API).

How is SignalKit different from competitors?

Price, access and transparency. You pay $1 per tracked question per month and nothing else, so the bill is arithmetic you can do in your head before you sign up. Every account gets API access, the MCP connector, all five models, unlimited projects and unlimited team seats. We also show the raw AI responses, so you can check exactly what each model said rather than taking a score on trust.

Can I see the actual AI responses?

Yes. SignalKit stores the full raw response from every LLM we query. You can verify exactly what ChatGPT, Claude, or Perplexity said about your brand, see which competitors were mentioned, and check which sources were cited.

How does billing work?

Add funds to your account via Stripe ($5 minimum, up to $1,000). We calculate your daily cost based on active prompts and models, and deduct from your balance each day. Set up auto-recharge with a saved card so tracking never stops. Funds never expire. No subscriptions or tiers.