# AI does not invent its answer. It reads a few sources. When an engine recommends a product, it is summarizing the handful of pages it trusts most: a Reddit thread, a review site, one widely-quoted blog. LLM Citations shows you exactly which sources shape the answers in your category, where you appear in them, and where you are missing — so you know precisely where to go earn your place. ## The black box ### You see the result, not the cause You know you were left out of the answer. You have no idea which sources produced it, so you cannot trace the gap back to anything you can actually change. ### The scattered effort PR, reviews, Reddit, a listicle, a guest post. Without knowing which sources the models actually use, your team spreads effort thin and most of it never moves a citation. ### The upstream rival Competitors are already embedded. They win because they live in the sources AI trusts. Until you can see those sources, you cannot follow them there, and the gap quietly widens every quarter. AI answers are downstream of a few trusted sources. See which ones shape your category, and you know exactly where to earn your place in the answer. 1. ### Capture Collect answers across engines and prompts in your category. 2. ### Extract Find the sources, both the cited ones and the hidden ones. 3. ### Resolve Group links into domains and source types. 4. ### Score Rank domains by how much they shape the answers. 5. ### Map Check where you appear, and where you are missing. Scattered answers in. A ranked map of who feeds them, and where your gaps are, out. ### The hard part we solved Some engines make this easy. Perplexity, Copilot and Google's AI Overviews show their sources, so we read the citations directly. Others, like ChatGPT and Claude, often answer without showing their work. For those, we infer the likely sources by matching the specific claims, numbers and phrasing in an answer against the candidate pages on the open web that could have produced them. You act here SRC Trusted sources Reddit G2 Blogs → AI AI reads them Synthesizes a recommendation. → ANS The answer What the model tells the buyer. → YOU Your buyer Acts on the recommendation. You act here, at the source. Everything downstream follows. One citation does not make a source influential. A blog quoted in a single reply matters far less than a review site the models return to again and again. So we rank each domain by how often it shows up across your category's answers, how prominently, and across how many engines. Then we mark where you stand in each one. A high-influence source where you are not even listed is not bad news. It is the clearest instruction you will get all quarter about where to spend your effort. - Domains ranked by real influence, not raw mentions - Sorted into types: community, reviews, comparison, blogs, docs - Your presence marked on every source, gaps highlighted If we only counted the citations engines choose to display, the map would have holes exactly where it matters. The engines that hide their sources are still pulling from somewhere, and that somewhere is often where the real influence sits. So we work two ways at once. Where an engine shows its links, we read them straight. Where it does not, we trace the answer back to its likely origin by its content. Both paths feed one combined map, so nothing important slips through. - Cited sources read directly from engines that show them - Hidden sources inferred from the answer's own content - One complete map, not just the half an engine reveals A map is only useful if it tells you what to do. So the influence scores and your presence gaps get weighed together, along with how hard each placement is to win, and handed to the Recommendation Engine as a ranked list of moves. Instead of a vague plan to do more PR, you get an ordered set of specific bets: the review site to get listed on, the community thread worth answering, the blog worth pitching — each chosen because it is influential and you are absent. - Influence weighed against your absence and the effort to place - Specific, named opportunities rather than generic advice - Feeds straight into the Recommendation Engine to prioritize | Mention or rank tracking | LLM Citations | | --- | --- | | Tells you whether you were cited | Shows the sources behind the answer | | Only sees citations engines display | Infers the hidden sources too | | Counts raw mentions | Ranks domains by real influence | | Ignores where you stand in each source | Marks your presence and your gaps | | Leaves you to guess what to do | Hands you ranked places to earn a citation | ## Find where to earn placements ### Stop spreading effort across every channel and aim it where the models are actually reading 1. Open the influence map and sort by the sources you are missing from. 2. Take the ranked opportunities, highest influence and biggest gap first. 3. Earn the placement: get listed, answer the thread, pitch the blog. 4. Watch your citations rise as the models start reading you in those sources. ## See why a rival wins ### When a competitor keeps showing up, the source map explains it in a way no visibility score can 1. Filter the map to the sources that cite the competitor most. 2. Find the high-influence ones where they appear and you do not. 3. Match their footprint: the same lists, threads and comparisons. 4. Close the gap source by source until the answers start naming you too. > "GrackerAI helped us reach developers and decision-makers right when they were researching. The pipeline impact has been remarkable." +78% AI visibility +52% business impact Nathan Sharma, VP of Growth, MojoAuth 8 engines whose sources are traced for your category Cited + inferred sources found even when an engine hides them Ranked domains scored by how much they shape answers Gaps to moves every absence turned into a placement to earn ## Recommendation Engine The placement opportunities from your source map land here, ranked against every other fix by impact. ## Content Engine Turn a target source into the article, comparison or answer that earns you a place in it. ## AI Monitoring The answers your source map is built from come from monitoring across all eight engines.