See who AI recommends instead of you
GEO podium, Share of Model, citation alerts and new-entrant detection. Citeme audits your rivals on the exact same prompts and shows you, continuously, where you sit on your market.
- Cancel in one click
- Results in minutes
- 10 AI engines covered
Competitor podium
Top 3concurrent-a.fr
You
concurrent-b.com
Turn AI answers into a leaderboard
Add a competitor by URL and Citeme audits them like it audits you: same crawl, same technical scan, same prompts on the same engines. You finally see the full picture of who owns your category in AI.
GEO podium
A live ranking of you against your rivals, with your rank and the gap to the leader. "You are #3. Pass 75 to take the top spot."
Share of Model
Share of Model is the percentage of AI answers that mention a given brand across a themed set of queries, the generative equivalent of share of voice. If a competitor holds 60 percent of Share of Model on project management tools for startups, that brand is mentioned in 60 percent of the answers generated on the theme, and it effectively controls how the models perceive the subject. The metric matters because GEO runs close to zero sum: where dozens of pages share the organic results, an AI answer typically cites one to three sources, so a competitor who is cited occupies a slot you cannot occupy at the same time. The competitor dashboard reports, for each rival, global Share of Model, Share of Model per model, since a brand can dominate GPT and be invisible on Claude, the trend over the last 30, 60 and 90 days, the list of queries where that competitor is cited in first position, and a factual density score for their content. That density is an estimate inferred from the AI answers, not a direct measurement of their pages.
Citation alerts
Two alerts fire automatically, by email and as a dashboard notification, and both are built on a change of state rather than a threshold you have to watch. The citation loss alert triggers when you lose primary source position on a query where you were previously cited first. Citeme identifies which competitor displaced you, analyses that rival’s recent content to work out what changed, and the copilot turns the finding into targeted counter-attack suggestions. The new opportunity alert triggers when a domain you were not tracking starts being cited by the models on queries in your sector. That signals either an emerging competitor or the formation of a new semantic cluster where positioning is still open, and the documentation says why acting early pays: the first brands to occupy a new cluster keep an advantage, because language models tend to hold their citation preferences over time. What these alerts do not do is fix anything. They hand you a named competitor, a named query and a suggestion, and the work still has to be scheduled.
New-entrant detection
When a brand you never tracked starts getting cited on your prompts, Citeme flags it before it becomes a threat.
Competitor breakdown
Adding a competitor domain runs three analyses, not a single lookup. The structural scan reads their site to assess JSON-LD and Schema.org implementation, the H1 to H6 heading hierarchy and semantic depth, estimated factual density per page, how often the content is updated, and which structured data types are present: FAQ, How-to, Product, Review. That shows which technical and editorial choices are buying their visibility. Score comparison then puts you side by side, because every audit simulates the same queries for your site and for each of your competitors, so the benchmark is query by query and model by model rather than a market average. Semantic gap analysis finishes the job by naming the subjects, concepts and content types they cover and you do not, which is the actual reason they are cited and you are absent. The suggestion copilot consumes that gap list directly. Two limits: the number of competitor domains tracked on a project is capped, and factual density remains an estimate derived from AI answers.
Semantic gap analysis
See what cited competitors say that you do not, so your agents know exactly which content gap to close.
The metric that replaces share of voice
In classic SEO you tracked share of voice across a list of links. In AI search there is one answer, and it names two or three brands. Share of Model measures how often that answer is you.
Citeme computes it across all your prompts and every engine, then breaks it down per competitor and per domain. You see not just your slice, but exactly who is eating the rest, and on which questions.
- Your share, highlighted on every prompt
- Per-competitor citation counts and percentages
- Domain-level breakdown for multi-site rivals
- "Others" bucket for the long tail you have not tracked yet
Competitor podium
Top 3concurrent-a.fr
You
concurrent-b.com
capped
competitor domains per project
same
prompts as you
live
podium & alerts
30/60/90 d
Share of Model trend
How it works
- 1
Declare competitors
By URL. Citeme audits them automatically, like it audits you.
- 2
Audits compare
Every run scores them on the same prompts, engines and region.
- 3
Podium updates
Rankings, deltas, Share of Model and alerts land on your dashboard.
Our articles on this topic
All articlesGemini 4 Argon: what Google's new model changes for your AI visibility
Google is opening Gemini 4 Argon to Pro and Ultra subscribers, in the Gemini app and AI Mode, and to developers. What we know as of October 13, 2026, and why a new model can move your citations without you touching your site.
AEO agency: what it delivers, what it costs and 7 agencies to shortlist
An AEO agency gets your brand cited in ChatGPT, Perplexity and AI Overviews answers. Here is what the work should include, what it really costs, and seven agencies checked on their own sites.
WebMCP: What It Is, How It Works and What It Means for Your Website
WebMCP is a W3C Community Group proposal that lets a web page hand AI agents callable tools through document.modelContext. Here is how it differs from MCP, where Chrome and Edge support stands, and why being operable by an agent is not the same as being cited.
Good to know
Citeme crawls their public site and runs the same prompts against the engines. You see their citation rate and technical score, exactly as the AI sees them.
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See it on your own market
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