validate_key
Confirm the API key works; returns bound team, allowed-domains scope, per-minute rate limit.
LABSCO SUMMARY
The citation tools are the ones worth having; the rest is a dashboard you could already read.
Mention counts are easy to produce and hard to act on. What is harder to get elsewhere is the URL-level citation view — which of your pages the assistants actually link to, in answer to which prompts — and the fan-out queries, the expanded questions the models really asked while researching a prompt. Those two tell you what to write next. The GA4 half then closes the loop by showing whether any of it sent traffic. Note the gate: the $59 Starter plan does not include MCP at all.
What it is
AIclicks' hosted endpoint for AI-search visibility monitoring. It tracks prompts you register, records which brands the assistants name, and joins that to AI-referred traffic from a connected GA4 property.
What you get
- Visibility, mentions, citability and citation counts as daily time series
- Share-of-voice rankings against tracked competitors, plus discovery of brands appearing that you are not tracking yet
- A model leaderboard — visibility and average position per channel: ChatGPT, Claude, Perplexity, Gemini
- Sentiment: positive/negative split, daily series, named themes and the URLs cited when each theme came up
- GA4 tools that break AI-referred sessions down by model, page, country, browser, device and conversion
Requirements
A Pro or Business team — the docs say MCP is exclusive to those plans — and either OAuth sign-in or a bearer key beginning ak_live_. Keys are team-scoped and rate-limited per minute.
Setup effort
Paste a URL, then authorize — add the endpoint to your client, then approve the OAuth consent screen
USE CASES
01
Finding which pages AI answers actually cite
Pull the URL-level citation view to see every page the assistants link to, how often, and for which prompts.
02
Checking whether you are losing ground
Read the share-of-voice ranking and per-competitor daily series, then look at brands the discovery tool found that you are not yet tracking.
03
Seeing which assistant favours you
The model leaderboard splits visibility and average position by channel, so effort goes where the gap is.
04
Tying visibility to traffic
Join AI-referred GA4 sessions and key events back to the prompts and pages that produced them.
26 tools
Listed in project docs. Your client may show a different list.
list_domains
List every tracked domain the API key can access; team key returns flat array, master key returns per-team grouped shape. Start every session with this.
list_prompts
Paginated list of tracked prompts under a domain.
list_fanout_queries
Discovery-stage expanded fan-out queries the LLMs actually asked when probing a prompt.
get_prompt_statistics
Per-prompt performance over time: top N prompts by mentions with estimated_search_volume and daily series of mentions/responses/citations/avg_position.
get_visibility_time_series
Daily visibility share — percentage of monitored prompts where the brand was mentioned.
get_mentions_time_series
Raw mention count per day across all monitored prompts.
get_citability_time_series
Citation-eligibility ratio per day — fraction of brand mentions with a citation back to the domain.
get_citations_time_series
Raw citation count per day — outbound links to the domain across AI search results.
get_citations
URL-level citation view: every page the domain appears in across AI results, with frequency, mentions, prompt_ids, citing models, first/last seen.
get_brand_rankings
Current share-of-voice ranking for the domain vs tracked competitors (is_brand flag).
get_competitor_time_series
Daily visibility/share-of-voice/position per tracked competitor plus the brand, with window averages.
get_competitor_discovery
Brands appearing in AI answers to tracked prompts that are not yet in the tracked competitor set, ranked by prompts_mentioned.
get_model_leaderboard
Visibility and average position broken out by AI channel (ChatGPT, Claude, Perplexity, Gemini, ...).
get_sentiment_overview
Positive vs negative split of how LLMs talk about the brand, plus total mentions in window.
get_sentiment_time_series
Daily positive-sentiment percentage — share of each day's themes that are positive.
list_sentiment_themes
Named themes AI answers raise, tagged positive/negative with occurrence counts.
get_sentiment_theme_sources
URLs cited when sentiment themes were raised, rolled up by citation frequency.
get_ga4_summary
Totals of AI-referred traffic (sessions, users, pageviews) from connected GA4, plus previous period deltas.
get_ga4_by_llm
AI-referred sessions/users/pageviews per LLM source, plus previous period.
get_ga4_timeline
Daily AI-referred sessions over the window, split by LLM source.
get_ga4_top_pages
Pages ranked by AI-referred sessions (page_path + sessions desc).
get_ga4_top_locations
AI-referred traffic by country (location + sessions desc).
get_ga4_top_browsers
AI-referred traffic by browser (top 10 desc).
get_ga4_devices
AI-referred traffic by device category (mobile/desktop/tablet).
get_ga4_key_events
GA4 key events / conversions attributed to AI-referred traffic: total, per-LLM breakdown, top events, previous period total.
BEFORE YOU INSTALL
What to know first
Tools you get
26 tools named in the project's documentation.
Requires
- an MCP client that can reach a remote endpoint
- OAuth sign-in (team-scoped) or API key (Authorization: Bearer ak_live_*)
INSTALLATION
Connect your client
Add the endpoint to your client, then approve the OAuth consent screen.
Server setup
ENDPOINT URL
https://mcp.aiclicks.io/mcpRequirements
- OAuth sign-in (team-scoped) or API key (Authorization: Bearer ak_live_*)
