Get recommended by ChatGPT, Gemini and Google
LogNorm asks the real ChatGPT, Gemini and Google AI Overviews your buyers' questions, in your country, and shows who gets mentioned, cited and recommended. Your agent keeps the prompts you track sharp and turns every learning into a fix or a page.
Illustrative example. Acme is a sample brand.
- Panda · Pip turned a learning into Answer-first intro for /pricingA ranked move
- Sam's Panda added prompts best project management software for startups3 new buyer questions tracked
- LogNorm collected 24 AI answersChatGPT, Gemini and Google AI Overviews
Your buyers ask AI first. Are you the answer?
AI assistants recommend your competitors and you never see it.
Knowing you're missing doesn't tell you what to do.
Tracking the wrong prompts measures the wrong thing.
From not mentioned to recommended
- 01Pick the buyer questions that matter
- 02Approve page changes and outreach
- 03Watch your share of recommendations
- 01Add, edit, pause and retire tracked prompts
- 02Turn learnings into moves and GEO fixes in your repo
- 03Draft answer-first pages the engines can quote
- 01Ask ChatGPT, Gemini and AI Overviews on schedule
- 02Separate mentions, citations and recommendations
- 03Find the sources that cite competitors, not you
Start from the questions your buyers actually ask
- Every prompt is classified: category, alternatives, how-to, comparison or evaluation.
- Funnel stage and buyer intent, so you know which prompts are close to a purchase.
- Asked in the engines' real products, from your market's country.
- Best invoicing software for freelancers who bill in several currenciesCategory91%ConsiderationTopic: Invoicing
- Globex alternatives for small agenciesAlternatives94%DecisionTopic: Switching
- How do I chase late client payments without being awkwardHow to72%AwarenessTopic: Payments
- Globex vs Initech for recurring invoicesComparison55%DecisionNo topic yet
Two facts per answer, never blended into one score
- Mention rate, citation rate and recommendation rate, each with its sample size.
- Mention types show how the answer treats you: top pick, recommended, alternative, negative.
- Your product names, former names and owned sites all count as you.
See every page the engines cite, and the ones you are missing from
- Source mix by kind: your sites, competitors, review sites, publishers, forums, docs, directories, video and social.
- Domains and pages with cited, linked and searched-only counts, prompts and engines.
- A list of cited pages that name your competitors and not you, each one a move away from your plan.
- Publishers64%
- Review sites42%
- Competitors40%
- Forums30%
- Your sites13%
Follow your competitors through the same answers
- A leaderboard of mention, citation and recommendation rates with the change since the last run.
- Where each competitor is strongest, engine by engine.
- Brands that keep showing up untracked, ready to track in one click.
- “Best invoicing software for a five-person design studio”Globex Top pick youAbsent
- “Invoicing tools with retainer billing”Globex Recommended youCited, not mentioned
Ranked learnings, with the evidence attached
- Ranked by how much evidence supports them.
- Sharper with every run, because changes between runs count as evidence.
- What's working is listed too, so you keep doing it.
- Get listed Create moveA listicle cited in 14 answers names Globex and Initech, not youAsk the editor to add Acme, with the retainer-billing angle the page lacks.
- Cited, not named Create moveYour pricing guide is a source in 11 answers that never name AcmeState what Acme is and who it is for in the first screen of the guide.
- What's workingYour comparison page is now cited by ChatGPT and GeminiKeep its feature table current.
Measure whether the work you shipped changed the answers
- Before and after for mention, citation and recommendation rates, with sample sizes.
- Which engines cite the shipped page, and since when.
- Small samples are labelled, so a hint is never presented as a result.
The details that make the numbers trustworthy
The real products
Your market's country
Cited, linked, searched
Scheduled monitoring
Brand identity
CSV export
From a list of prompts to proof
Setup takes a few minutes. The AI visibility guide walks through each step.
- 1
Pick prompts
Accept suggested prompts or write your own, and choose the engines for each. - 2
Run them
LogNorm asks every engine from your market's country and stores each answer with all of its sources. - 3
Read the learnings
Mentions, citations, sources and competitors, distilled into ranked learnings you can turn into moves. - 4
Ship and measure
Publish, and the Impact tab compares the answers before and after.
AI visibility questions, answered
Which AI assistants does LogNorm track?
ChatGPT, Gemini and Google AI Overviews. LogNorm asks your prompts in the products themselves rather than through developer APIs, because the products search the web, choose sources and phrase answers differently from the raw models. You choose the engines per prompt.
What is the difference between a mention and a citation?
A mention means the answer names your brand in its text. A citation means one of your pages is among the answer's sources. They are independent: an answer can name you while citing only other sites, or use your page as a source without ever naming you. LogNorm reports them separately and shows which of the four combinations each answer falls into.
Are answers the same in every country?
No. Assistants search the web from where the question is asked, so sources and recommendations change by country. LogNorm asks from the country of your website's market, so you see what a buyer there sees.
How does LogNorm decide whether an answer recommends me?
LogNorm's decision AI reads each answer and labels how it treats you and each competitor: top pick, recommended, neutral mention, alternative, negative or not mentioned. Every label shows how sure LogNorm is, and you can read the full answer behind it.
How do I know whether my work changed anything?
The Impact tab links every page you publish and every move you complete to the prompts it was meant to affect, then compares mention, citation and recommendation rates in runs before and after the ship date, with the number of answers on each side. It also shows whether engines started citing the page itself. Comparisons built on few answers are labelled as small samples.
What does a run cost?
Each delivered answer costs half a credit, plus a smaller amount for reading the answers and their sources. Twenty prompts on three engines is 60 answers, or 30 credits. Answers an engine fails to deliver cost nothing, and you see the cost of a run before you start it.
How often are prompts re-run?
Once a website has run its prompts, active prompts re-run on the schedule you pick: daily, twice a week, weekly or monthly. You can also run them any time, and the Historical runs tab shows every prompt's result day by day.
Can my agent manage AI visibility?
Yes. A connected agent reads every answer, learning and cited source, adds and retires the prompts you track (buyer questions that never name your brand), turns learnings into moves, and fixes GEO issues such as llms.txt and AI crawler access in your codebase. It can also run a check now when the work needs fresh answers.
Works with the rest of LogNorm
Find out what AI assistants say about you.
Create a workspace, add a few prompts and see your mentions, citations and sources after the first run.
Paste this into Claude Code, Codex, Cursor or Claude. It connects itself; you click Allow once.