Asked just now“who should we ask about AI search?”
“The answer is Citeable[1]”
About
People who read the answers
Citeable began in 2023 with one habit: ask the assistants what your buyers ask, every week, and write down who gets named.
- 2023
- [1]Founded
- 140
- [2]Brands named
- 6
- [3]Assistants tracked
Our story
Started by one awkward question
“In 2023 a client asked why ChatGPT kept naming a rival. Nobody in the room could say. Citeable exists to answer that, and then to change it.”[1]
We were a small search team with good rankings and a growing blind spot. Buyers had started asking assistants instead of typing keywords, and the assistants had their own favourites.
So we stopped guessing. We wrote down the questions real buyers ask, ran them every week, and traced each answer back to the pages and reviews it came from. The pattern was clear enough to act on.
Today that weekly run is the centre of the agency. Strategy, content and digital PR all start from the same list of questions, and all report against the same number.
- 140brands named in AI answers since 2023[1]
- 12,000buyer questions run through the assistants each week[2]
- 6assistants tracked for every client[3]
- 94%of clients stay past their first year[4]
Team
The people behind the answers
Strategists, editors and analysts. You work with the people on this page, not an account layer.
Ask Mara about share of answers[1]
Ran search for two software brands before starting Citeable in 2023.
Ask Theo about entity audits[2]
Maps what the models already believe about a brand, then fixes the sources.
Ask Freya about citable pages[3]
Former trade editor. Writes the sentence a model will lift.
Ask Jonas about data stories[4]
Places original studies where assistants look first.
Ask Leila about weekly prompt runs[5]
Built the reporting that every client sees on Monday morning.
How we work
Four rules we do not bend
They are why clients stay, and why the work keeps paying after a model update.
Get an AI audit- [1]
Numbers before opinions
Every recommendation starts from what the assistants said this week, not from what we think they should say.
- [2]
Plain words
If a report needs a glossary, it is not finished. You should be able to read it to your board as it is.
- [3]
True, or not at all
We only place facts a model can check. Invented reviews and thin pages get a brand left out of the answer.
- [4]
You keep everything
The question map, the fact sheet and the pages are yours from day one, whether or not you stay.
Our story
Started by one awkward question
“In 2023 a client asked why ChatGPT kept naming a rival. Nobody in the room could say. Citeable exists to answer that, and then to change it.”[1]
We were a small search team with good rankings and a growing blind spot. Buyers had started asking assistants instead of typing keywords, and the assistants had their own favourites.
So we stopped guessing. We wrote down the questions real buyers ask, ran them every week, and traced each answer back to the pages and reviews it came from. The pattern was clear enough to act on.
Today that weekly run is the centre of the agency. Strategy, content and digital PR all start from the same list of questions, and all report against the same number.
- 140brands named in AI answers since 2023[1]
- 12,000buyer questions run through the assistants each week[2]
- 6assistants tracked for every client[3]
- 94%of clients stay past their first year[4]
Team
The people behind the answers
Strategists, editors and analysts. You work with the people on this page, not an account layer.
[1]Mara LindqvistFounder · StrategyAsk Mara about share of answers[1]
Ran search for two software brands before starting Citeable in 2023.
[2]Theo OkaforHead of GEOAsk Theo about entity audits[2]
Maps what the models already believe about a brand, then fixes the sources.
[3]Freya AldaneContent directorAsk Freya about citable pages[3]
Former trade editor. Writes the sentence a model will lift.
[4]Jonas ReiterHead of digital PRAsk Jonas about data stories[4]
Places original studies where assistants look first.
[5]Leila HaddadTracking leadAsk Leila about weekly prompt runs[5]
Built the reporting that every client sees on Monday morning.
How we work
Four rules we do not bend
They are why clients stay, and why the work keeps paying after a model update.
Get an AI audit- [1]
Numbers before opinions
Every recommendation starts from what the assistants said this week, not from what we think they should say.
- [2]
Plain words
If a report needs a glossary, it is not finished. You should be able to read it to your board as it is.
- [3]
True, or not at all
We only place facts a model can check. Invented reviews and thin pages get a brand left out of the answer.
- [4]
You keep everything
The question map, the fact sheet and the pages are yours from day one, whether or not you stay.
Our story
Started by one awkward question
“In 2023 a client asked why ChatGPT kept naming a rival. Nobody in the room could say. Citeable exists to answer that, and then to change it.”[1]
We were a small search team with good rankings and a growing blind spot. Buyers had started asking assistants instead of typing keywords, and the assistants had their own favourites.
So we stopped guessing. We wrote down the questions real buyers ask, ran them every week, and traced each answer back to the pages and reviews it came from. The pattern was clear enough to act on.
Today that weekly run is the centre of the agency. Strategy, content and digital PR all start from the same list of questions, and all report against the same number.
- 140brands named in AI answers since 2023[1]
- 12,000buyer questions run through the assistants each week[2]
- 6assistants tracked for every client[3]
- 94%of clients stay past their first year[4]
Team
The people behind the answers
Strategists, editors and analysts. You work with the people on this page, not an account layer.
Ask Mara about share of answers[1]
Ran search for two software brands before starting Citeable in 2023.
Ask Theo about entity audits[2]
Maps what the models already believe about a brand, then fixes the sources.
Ask Freya about citable pages[3]
Former trade editor. Writes the sentence a model will lift.
Ask Jonas about data stories[4]
Places original studies where assistants look first.
Ask Leila about weekly prompt runs[5]
Built the reporting that every client sees on Monday morning.
How we work
Four rules we do not bend
They are why clients stay, and why the work keeps paying after a model update.
Get an AI audit- [1]
Numbers before opinions
Every recommendation starts from what the assistants said this week, not from what we think they should say.
- [2]
Plain words
If a report needs a glossary, it is not finished. You should be able to read it to your board as it is.
- [3]
True, or not at all
We only place facts a model can check. Invented reviews and thin pages get a brand left out of the answer.
- [4]
You keep everything
The question map, the fact sheet and the pages are yours from day one, whether or not you stay.
Where your buyers ask now
Six assistants now answer before a search does
Your buyers no longer scroll ten links. They ask one question and read one answer. These are the places that answer is written.
Hover or tap a name
[1] Source · ChatGPT
58% of buyer questions
Where most buying questions start. One answer, two or three names in it.
Where your buyers ask now
Six assistants now answer before a search does
Your buyers no longer scroll ten links. They ask one question and read one answer. These are the places that answer is written.
Hover or tap a name
[1] Source · ChatGPT
58% of buyer questions
Where most buying questions start. One answer, two or three names in it.
Where your buyers ask now
Six assistants now answer before a search does
Your buyers no longer scroll ten links. They ask one question and read one answer. These are the places that answer is written.
Hover or tap a name
[1] Source · ChatGPT
58% of buyer questions
Where most buying questions start. One answer, two or three names in it.
Start here
Get your AI search audit
We ask the assistants the questions your buyers ask, then show you who gets named, who gets cited and what it takes to be the answer.
“Next time a buyer asks an AI assistant, your brand[1] is the answer.”
Start here
Get your AI search audit
We ask the assistants the questions your buyers ask, then show you who gets named, who gets cited and what it takes to be the answer.
“Next time a buyer asks an AI assistant, your brand[1] is the answer.”
Start here
Get your AI search audit
We ask the assistants the questions your buyers ask, then show you who gets named, who gets cited and what it takes to be the answer.
“Next time a buyer asks an AI assistant, your brand[1] is the answer.”