Get your brand into the answer. On every AI engine.
See what
ChatGPT,
Claude,
Gemini,
Perplexity
and three more engines say about your brand. Which questions they recommend you for, which sources they trust, which competitors they choose instead, and exactly what you can change.
For a small team, Ledgerly or Ramp are the usual picks. Ledgerly syncs with the books on day one.
The leading options include Ramp, Brex and Expensify, with Ramp most often recommended for startups.
Companies such as Ledgerly and Ramp are widely used, with Ledgerly noted for its accounting integrations.
Named inside the overview text, but no link back. The citation went to a review site instead.
12 pages invisible to the engines that read them.
Both rivals holding seats have one. You do not.
Don't just know whether AI mentioned you. Know why.
Every result in AI Beacon connects the answer to the evidence behind it. Open any one of them and follow the whole chain.
“What are the best SEO platforms for enterprise teams?”
Not named. Same result on four of the seven engines checked in this run.
Most tools show you the score. This shows you the story behind it.
Every number has evidence behind it.
Open the answer. See what the engine said, which sources shaped it, what it cited, what it reached and ignored, and what would have to change. Nothing here is a black box you take on faith.
Four signals. One explanation.
AI Beacon brings your AI answers, your site's accessibility, what your pages actually answer and your real search demand into the same investigation. Same question, same day, one conclusion.
You are not named in this answer. Two competitors are.
GPTBot is disallowed on /pricing and /product/*.
Your closest page lists features. It never answers the question asked.
Position 1 for the same query. Clicks down since March.
The engine reached for your pricing page to answer this question, could not read it, fell back to a review site, and named a competitor from it. Your ranking never moved, which is exactly why nobody noticed for six months.
See where you stand before you decide anything.
Enter a domain and get a first read on how answer engines describe the brand today, and which openings are still unclaimed.
No card, no sales call, no code on your site. A domain is enough.
These are being asked right now. Somebody is being recommended.
Not keywords. Full questions, with constraints attached, answered in one shot by an assistant that names two or three brands and stops.
Every one of these has an answer today. The only question is whose name is in it.
Somebody is watching these conversations. It is not your analytics.
These figures cover two engines. Grok, Claude, Perplexity and Copilot sit on top of them, and every one of these prompts had an answer that named somebody.
of them appear in your analytics. Nobody visited your site to have the conversation, so nothing was ever logged.
A channel you cannot see is still a channel. It is still shaping shortlists, still answering objections, and still handing somebody the recommendation.
Eight signals, four jobs, one picture.
AI Beacon is the intelligence layer for how AI discovers, evaluates and recommends your brand. Each capability answers a different question, and they run in this order for a reason.
Who does AI think you are?
Before anything can be measured, a model has to resolve your name to one real company, and you have to know the questions worth tracking.
Entity mapping ↗ Prompt coverage ↗What does AI actually say?
Presence, wording and position, recorded per question and per engine, run after run, so a change is a change rather than a different afternoon.
Citation tracking ↗ Sentiment and narrative ↗ Competitor seats ↗ AI Overviews ↗Why did it say that?
The trace behind a single answer. Which sources fed it, which of your pages was passed over, and which of four causes explains the absence.
Prompt diagnosis ↗Did anything actually change?
Citation change set against a baseline recorded on day one, next to referrals and branded search, with the uncountable part named as such.
Attribution ↗Most tools stop at Measure. This takes you through all four.
The full stack for AI search visibility.
One system that shows how seven engines see your brand, why they see it that way, and what to publish to change it. Eight capabilities, not one metric behind a paywall.
Your brand is an enterprise platform used by in-house teams tracking several markets.
Your brand is a well regarded budget option for freelancers who want a simple check.
Two engines are blocked from nine pages that would answer this question directly.
Both rivals holding seats have one. You do not, and the engines cite theirs.
Three engines place you one tier below where you sell.
Still first, and now a screen below the answer most people read.
What is actually going wrong, and what to do about each one.
Eight problems come up in almost every account. None of them are solved by a mention count, and each one has a different answer.
You cannot tell whether you are in the answer at all
Someone checks ChatGPT once, gets an encouraging reply, and the team decides the channel is fine. Nobody knows what the other six platforms said, or what the same question returns tomorrow.
The same questions, run on a schedule, everywhere
Your buyer questions run across seven platforms on a fixed rota, phrased the same way each time, so the result is a measurement rather than an anecdote.
You know you are absent. You do not know why.
A visibility score reports the outcome and says nothing about the cause. Four completely different problems produce the same low number, and each one needs a different fix.
Every answer traced back to the sources that built it
Prompt diagnosis shows which pages fed the answer, which of yours was reached and passed over, and which of the four causes of absence applies here.
An assistant describes you as something you are not
The description is warm, confident and wrong. It puts you at the wrong tier, in front of the wrong buyer, and it repeats across thousands of conversations until better evidence exists.
The actual words recorded, platform by platform
Sentiment and narrative tracking stores the language used about you, the context surrounding the mention, and the places where platforms contradict each other.
A competitor is being recommended for your best question
An answer names a few brands and stops, so a rival gaining ground means somebody lost a seat. Your rankings for the same query never moved, so nothing raised a flag.
Seat by seat, tracked over time
Competitor citation tracking records who holds each position on every question you follow, and marks the week a seat changed hands.
You are named for definitions and absent from decisions
Coverage read as a single number hides the shape of the problem. Most brands look healthy on “what is this” and vanish on “which one should I buy”.
Coverage split by what the buyer is actually asking
Prompt coverage maps every tracked question to an intent stage, from first awareness through to the comparison that settles a shortlist.
Models cannot agree on which company you are
Before anything can be said about you, a model resolves your name to one real organisation. Get that wrong and every question afterwards is answered about somebody else.
The entity each platform holds, compared side by side
Entity mapping shows the category, attributes and associations each model has settled on for you, and highlights where they disagree.
Your ranking is unchanged and the clicks are falling
An AI Overview sits above every organic result, and Search Console reports one figure for the query. A click on the Overview and a click on your listing cannot be separated.
Overview presence tracked apart from organic position
AI Overviews monitoring records which queries trigger one, whether you are cited inside it, and how that sits against the position you already hold.
Finance asks whether any of this worked
The research happened inside a conversation that left no record. The visit arrives later and looks direct. Absence produces no signal at all.
A baseline recorded before the work starts
Attribution connects citation change to referral sessions and branded search against that baseline, and states plainly which part of the effect cannot be counted.
See it. Diagnose it. Fix it. Measure it.
Finding the problem and fixing it are usually two products and two teams. Here they are one loop, and the loop closes where it started.
Every absence arrives with a reason attached
A score tells you the outcome. A trace tells you the cause. AI Beacon opens the answer, lists the sources behind it, and tests which of the four causes of absence applies here.
- Cited sources separated from the ones used without credit
- Your own page shown where it was reached and passed over
- The cause named, so the work goes to the right team
Two engines are blocked from nine pages that would answer this question directly.
Both rivals holding seats have one. You do not, and the engines cite theirs.
Three engines place you one tier below where you sell.
The change gets shipped without leaving the platform
Most of what blocks a citation is a crawler rule, a piece of schema or a page that answers around the question instead of answering it. Technical Suite and Content Studio handle those inside SEORCE, so the finding and the fix are not two different tools.
- Crawler and schema faults cleared with AutoFix
- Briefs written against the question the engine actually asked
- Entity records corrected before content is commissioned
You find out whether it worked, in a number you can defend
The next run tells you whether the answer moved. Against a baseline recorded on day one, citation change sits next to referral sessions and branded search, and the part that cannot be counted is named rather than estimated.
- Movement measured on the specific questions you chose to contest
- Assistant referrals separated out in analytics
- Influence with no click reported as influence, not as a figure
Seven platforms, one dashboard.
Each platform reaches different buyers and recommends brands differently. Checking them by hand is slow, partial and impossible to repeat consistently.
Week one, month one, quarter one.
Nothing here needs a six-week onboarding. This is the honest shape of what arrives, and when.
Where you actually stand
- Presence across all seven platforms, for every question you chose to track
- The competitors holding seats you assumed were yours
- A first read on how each platform describes your business
- Any crawl faults stopping assistants reading your pages at all
Why, and what to do about it
- A traced cause behind the absences that cost you the most
- Coverage mapped by intent stage, so the priority is obvious
- A shortlist of pages to write or repair, in order
- Entity corrections filed against the records models actually read
Whether the work paid
- Citation change measured against the baseline you recorded on day one
- Referral traffic from assistants separated out in analytics
- Movement on the specific questions you chose to contest
- A report finance can read without a translator
A mention tracker is a feature. This is the whole job.
Plenty of products will tell you how often your name appeared. Very few will tell you why, and almost none will do anything about it.
Compared on capability rather than price. Any tool that does one of these rows well is worth having, and it is one row.
Questions your team can answer by Friday.
Not dashboard metrics. The things people actually ask in a Monday meeting, and currently cannot answer.
Teams selling in contested categories.
Positioning you can defend
- Catch mischaracterisations before they harden into the default description
- Show how visibility work translates into pipeline
- Know what is being said before a prospect quotes it back at you
Gaps with a specific fix
- See which missing content is costing citations, question by question
- Prioritise by what would actually change an answer
- Measure whether a published piece earned the citation it targeted
The research phase you cannot see
- Buyers now shortlist through an assistant before visiting any website
- In a new category, the description AI settles on becomes the category
- Being absent early is far more expensive than being absent later
If your category has little AI search activity yet, this is not where to start. Keyword Intelligence or Content Studio will do more for you first.
Visibility is one part of the loop.
What is AI Beacon?
AI Beacon is SEORCE's AI visibility engine. It monitors how seven AI platforms describe your brand, records which sources each answer cites, tracks where competitors are named instead of you, and identifies the content that would change those answers. It is the measurement layer for generative engine optimisation, which is the practice of earning presence inside AI-generated answers rather than inside a list of search results.
Key facts
- Tracks ChatGPT, Gemini, Perplexity, Claude, Grok, Microsoft Copilot and Google AI Overviews
- Records whether you are mentioned, and how you are characterised, with the surrounding context
- Alerts when a competitor gains citations on queries you expected to own
- Maps how each platform represents your brand as an entity, and where those representations disagree
- Connects citation changes to organic traffic, so the work can be measured rather than assumed
- AI answers typically draw on a handful of sources, so presence is far more concentrated than a page of search results
Last reviewed 24 August 2026 by the SEORCE team.