Stop checking by hand
Comparing your hours and address across a dozen listings is an afternoon nobody schedules. ipLamb does the comparison and shows only where the answers differ.
Evidence-backed entity intelligence
Your hours, address and phone number are published in places you do not control, and they do not all agree. ipLamb reads your site and the profiles that describe you, keeps a dated copy of every source, and shows you exactly where they contradict each other — with the evidence attached.
Create a free account to start — 3 tracked entities, no card, no call with anyone. Nothing to install on your website.
An illustration, not a real customer. Saturday is the kind of thing that goes wrong quietly: right on your site, wrong on the profile most people actually see.
Nobody set out to publish three different closing times. It happens because every listing was created separately, and only some of them were updated.
Opening hours that changed and did not change everywhere
An old suite number on a directory nobody remembers claiming
A phone line you stopped answering two years ago
A business name with and without the Ltd, counted as two businesses
Services you no longer offer, still listed
A former address that still ranks
The cost is ordinary rather than dramatic: a customer at a locked door, a call to a dead line, an assistant with no way to tell which answer is current.
Search engines and AI assistants do not read your marketing. They read whatever they can find, and assemble an answer out of it.
They read your site, your Google profile, a directory listing someone made in 2019 — and piece an answer together from all of it. When those sources disagree, the answer gets vague. Sometimes it gets wrong.
ipLamb gathers those sources and records what each one says, with the date and the page it came from. Where two of them conflict, you see the conflict. Where something rests on a single mention, you see that too, before it becomes a problem.
Three steps, and only the first one needs you.
Add your business and the domain it lives on, then approve that domain so ipLamb knows it is allowed to fetch it. That is the entire setup.
It fetches your pages, stores a copy of each one as it looked at the time, and records which page said what. Nothing enters your profile without a source behind it.
Findings come back ranked by what they cost you to ignore. Each one names the pages it came from, so you can hand a developer something specific.
ipLamb never edits a third-party listing — it has no account on those sites and would not want one. You fix the source, and the correction is kept with who made it and why, so next month you can see what changed and when.
An illustration, not a customer. The business below is invented; the shape of the problem is the common one.
ABC Dental Clinic
What time do they close on a Thursday?
Three sources, three answers. A customer arriving at 6:30 finds a locked door, and an AI assistant asked the same question has no way to tell which one is current.
ipLamb flags the closing time as contradicted, shows the three pages it read and the date it read each one, and puts the fix near the top of the list. Confirming the real time and correcting the two directories is the whole job.
What changes for the person who has to keep all of this straight.
Comparing your hours and address across a dozen listings is an afternoon nobody schedules. ipLamb does the comparison and shows only where the answers differ.
Wrong information spreads: one directory copies another. Finding a contradiction early is the difference between correcting two sources and correcting nine.
Every finding names the page it came from and the date it was read. You are not taking our word for it, which means you can act without checking first.
Findings arrive ranked by impact and effort, with an owner and a due date, so the list behaves like a backlog rather than a report.
Assistants answer from whatever public sources they can find. Consistent, current information gives them less to get wrong — though no tool, including this one, controls what any assistant says.
What a source said, when it said it, what you corrected and why. Useful next quarter, and useful when a platform disputes your correction.
Same evidence, three different jobs.
If you run the business
You do not need to learn what a canonical tag is. You need to know your Saturday hours are wrong in two places, which one customers actually see, and that fixing it takes ten minutes.
If you do this for a living
Every finding arrives with the rule it checked, the value it observed, and the URL it observed it on. That is a ticket you can assign, not a screenshot you have to explain.
If you do it at scale
Each client sits in its own workspace and nothing leaks between them — that isolation is covered by automated tenant tests. Growth tracks up to 200 entities, so adding a location is not a conversation with sales. Inviting colleagues into a workspace is still in development; today one login runs them all.
What you actually get.
One record for the business, assembled from every source that mentions it, with the disagreements surfaced instead of averaged away.
Every claim links back to a stored copy of the page it came from, as that page looked when ipLamb read it. Pages change; the record of what they said does not.
Titles, descriptions, headings, canonicals, robots directives, structured data, broken responses. Run against what is published, not a staging copy.
When ipLamb has it wrong, you say so. Your version wins from then on, and the thing it replaced stays on record with who changed it and why.
The trust score breaks into its parts — corroboration, recency, source authority, contradictions — so you can see which one is holding the number down.
Every recommendation carries a priority, an owner, a due date and a status, so it behaves like the rest of your backlog rather than a PDF nobody opens.
Where we draw the line
This category has a habit of selling certainty nobody can deliver. We would rather be useful than impressive, so here is what ipLamb refuses to claim — and what it will stand behind instead.
Search engines and AI assistants read the same public pages you can. When those pages disagree, something has to pick a winner — and it will not ask you first.
ipLamb does not talk to any assistant and cannot make one say anything. What it does is narrower and more useful: show you which sources disagree, prove what each one says, and let you decide which to correct. Fewer contradictions means less for a machine to get wrong about you.
Being the source a direct answer is built from, rather than a link below it.
Being described accurately by systems that generate prose about you instead of listing pages.
Surviving the trip through a spoken answer, where there is room for exactly one version of your hours.
Being represented consistently enough across public sources that a model has no contradiction to resolve.
Priced on how much you track, not how much you use it. An entity is one thing you want described correctly — a business, a location, a product line.
$0 to try it
Seeing what ipLamb finds before you commit to anything.
$49 per month
One business you want described correctly everywhere.
$149 per month
Agencies and companies with locations to keep straight.
Billed monthly in USD, cancel whenever. Entity limits are enforced by the API rather than the interface, so the number on the card is the number you get.
Seat counts are not live yet. Inviting colleagues is still in development, so every plan is a single user today. The seat numbers above describe where each tier is going, not what it does now.
ipLamb only fetches a domain after someone on your team has approved it. Nothing gets read behind your back.
We are building this with a handful of companies, not for a landing page.
ipLamb is early. We are working directly with a small number of businesses and agencies who care about being described accurately, and we would rather say that plainly than fill this section with quotes nobody said.
Partners get the roadmap, a direct line to the people building it, and their problems fixed first. If your business is misdescribed somewhere and it costs you, that is the conversation we want.
The ones people actually ask.
No. ipLamb reads what is already public — your pages, and the profiles that mention you. There is no script to add and nothing to deploy.
An audit tells you what is wrong with a page. ipLamb tells you what the web currently believes about your business, which source it got each belief from, and where two sources disagree. The technical checks are in there too, but they are the smaller half.
Never. It does not publish, edit, or push anything anywhere. It hands your team a list and gets out of the way.
You correct it, and your correction wins. The original stays on record with a note saying who superseded it and why, so the history stays honest.
It starts with your home page and the obvious ones — about, contact — and records a dated copy of each. It only fetches domains you have approved first.
Yes, both. Export produces everything held about a person or an organization; deletion removes it, subject to any legal hold. Both are tracked as requests you can audit later.
A way to see what public sources currently say about your business, where they contradict each other, and which contradiction is worth fixing first — with the evidence attached to every claim.
No, and it is worth being clear about why. ipLamb holds no accounts on Google, Yelp or any directory, and cannot edit a page it does not own. It tells you precisely what is wrong and where, and you or your agency make the change.
ipLamb's own assessment, not Google's and not any AI platform's — nobody outside ipLamb sees it. It combines how many independent sources agree, how recently each was read, how authoritative the source is, and how much contradicts. It breaks into those parts on screen so you can see which one is holding the number down.
No. Anyone who guarantees rankings is guessing on your behalf. ipLamb makes your public information consistent and evidenced, which is worth doing on its own terms; what any search engine does with that is theirs to decide.
No, and neither can anyone else. Assistants answer from sources they choose. What you can control is whether those sources agree with each other, which is the part ipLamb works on.
Yes. Each business sits in its own workspace with no data shared between them, and you can run several from one login. Inviting colleagues into a workspace is still in development, so for now it is one person per account.
If you are running client workspaces yourself, yes — Growth covers up to 200 tracked entities and the isolation between clients is covered by automated tests. If you need several people on your team in the same workspace, not yet: team invitations are still being built.
Three tracked entities, one login, no card. It runs the same analysis as the paid plans against fewer things, so it is a genuine look rather than a demo.
The dated copy ipLamb stored does not change, so the record of what the page said on that day survives. Picking up the new version means running the analysis again — ipLamb does not currently re-crawl on a schedule, so a re-check is something you start.
The baseline takes a couple of minutes and costs nothing. Worst case, everything is already consistent and you get to stop wondering.