A page of links became a paragraph.
Search handed the buyer ten options and let them choose. An answer engine hands them one paragraph naming two or three vendors. Everyone outside that paragraph is not ranked lower. They are absent.
Loading
About Salienz
Mumbai, India
AI visibility for B2B SaaS
We don’t optimize your website.We get you named on everyone else’s.
About Salienz, the AI visibility agency: WE ARE SALIENZ
Ask an answer engine who solves this and it names a competitor’s review before it names you. We work on the pages models actually trust, measure whether that changes, and say so when it doesn’t. That is the whole company.
Answer engineSchematic
›Which agencies handle AI visibility for B2B SaaS?
The agencies most often recommended for this are , and .(Three vendor names, shown redacted. This panel is a schematic.)
A schematic, not a screenshot. Those three names are there because the pages the engine read already named them. Winning that sentence means working on those pages, which is the part almost nobody is doing.
Measured againstChatGPTClaudePerplexityMicrosoft CopilotAI Overviews, AI Mode & Gemini
Answer engineSchematic
›Which agencies handle AI visibility for B2B SaaS?
The agencies most often recommended for this are , and .(Three vendor names, shown redacted. This panel is a schematic.)
A schematic, not a screenshot. Those three names are there because the pages the engine read already named them. Winning that sentence means working on those pages, which is the part almost nobody is doing.
The premise
Why this company exists.
Search gave you
ten chances.
An answer gives
you one.
The paragraph is built from other people's websites.
Models reach for the sources they already trust: roundups, review platforms, documentation, threads. Your own site is one input among many, and rarely the deciding one. Optimising it harder does not fix a problem that lives somewhere else.
Almost nobody has measured where they stand.
Ranking is measured to three decimal places. Being named in an answer is usually measured by someone screenshotting one favourable reply. That gap is the entire reason this company exists.
Retrieval
Where the answer is assembled.
Five engines.
Five different
reflexes.
A brand can be named in every ChatGPT answer and absent from Perplexity, because the two are not reading the same shelf. Every audit here runs the same fixed prompt set against all five and scores them separately.
ChatGPT
Bing's index, roundups, review platforms, Yelp reviews, forum threads
Claude
Brave's index, documentation, primary sources, technical writing
Perplexity
Its own crawl, live search results, listicles, news
Microsoft Copilot
Bing's index, LinkedIn, Windows and Office surfaces
AI Overviews, AI Mode & Gemini
Ranking pages, structured data, entity records
Schematic — the kinds of source each engine leans on, not a measurement
Position
Contrarian, and checkable.
Nothing here
is a secret.
All of it
is checkable.
Every claim on this site can be checked by someone who is not us.
A flat month gets reported as flat. Nobody here is guaranteed a citation.
Three things the category sells that we will not
Named, not gestured at
The termSold asWhat is true
llms.txt
Shipped, never soldSold asPositioned as the file that gets you into AI answers.
What is trueThere is no public evidence that any major engine reads it as a ranking input. It costs us about an hour, so it ships in week one of every retainer and then we stop talking about it.
Schema-for-AI
Included, priced as plumbingSold asSold as a monthly line item with a strategy price attached.
What is trueStructured data genuinely helps an engine parse a page. It is the floor of the work, not the lever, and it does not need re-selling every thirty days once it is in place.
Content chunking
Not a serviceSold asSold as a retrieval technique with a diagram behind it.
What is trueWe have found no published evidence that reformatting your paragraphs changes what a model retrieves. Until someone produces it, charging for it is charging for a belief.
Case study
How the work holds in practice.
Case studyBaselineHerd Security
Rarely named, well regarded.
Seven AI engines answered 100 buyer questions every day for eight days. On the 90 that leave Herd's name out, 32 of 4,622 answers name it, and 23 of those 32 recommend it.
Problem
Herd is named on 7 of the 90 buyer questions that leave its name out. The four that name it most describe something Herd already does: flat-rate pricing, training inside Slack or Teams, lessons built from a company's own policies, no dedicated admin. When a buyer only describes the problem, the engines name other vendors, and on the 13 questions that compare vendors or ask how to switch, none of 672 answers names Herd.
Solution
The answers that do name Herd already favour it, so the work is about being present: pages built for the questions Herd loses today, comparison and alternatives pages for buyers who want to switch, a place on the lists the engines read, and one consistent set of facts wherever they look.
Share of answers naming the brand11 brands
- KnowBe432.6%
- Proofpoint20.9%
- Hoxhunt18.9%
- Mimecast5.7%
- Cofense5.6%
- Adaptive Security4.3%
- Living Security3.4%
- Herd Security0.8%
- Riot0.3%
- Jericho Security0.2%
- Fable Security0%
The baseline
2 to 9 Oct 2026 · 8 days0.5/ 100
Salienz Score on the 90 questions without its name
7/ 90
Questions without its name where an engine names Herd
0/ 672
Comparison answers that name Herd
23/ 32
Answers naming Herd that recommend it
How it was measuredNo testimonial
There is no quote here because there is no quote on record. What there is instead is the instrument: a fixed prompt set, a fixed competitor set, and the same run protocol every time, locked before the first measurement so the next re-test can only agree or disagree with this one.
- Sector
- Security awareness training
- Market
- United States
- Engines
- 7 measured
- Prompts
- 100 across 10 topics
How we work
All four are in the contract.
Four terms.
All four are
in the contract.
Terms of engagementEvery tier
- Scope
Scope is locked before anything moves.
Fixed at the end of week two, against what the audit found. No change orders after that, and the number you signed is the number you pay.
- People
The people on the call do the work.
Placements and community participation happen under real names, by people who already have standing in those places. Nothing is offshored to a content farm.
- Guarantees
Nothing is guaranteed that cannot be.
Nobody outside the labs controls what an engine says. What is guaranteed is the work in the scope, a measured baseline, and a report honest enough to show a bad month.
- Ownership
You keep everything, including if you leave.
The assets, the entity work, the placements and the raw data are yours. There is no auto-renewal and no clause that makes leaving expensive.
The same four on every engagement, at every tier. Nothing here is negotiated away for a bigger retainer.
The studio
No account layer.
Three people.
The ones on the call
do the work.
Maitrey Gholap
Co-founder & CEO
Pranav Darekar
Co-founder & CFO
Raif Bashir
Chief Content Officer
Who this is not for
Three reasons we refuse business.
Wewalkawayfrom
Anyone who wants a guarantee.
The engines re-rank without notice. An agency promising you a citation is either guessing or lying, and we would rather lose the deal than join them.
Anyone buying volume.
If the brief is thirty blog posts a month, there are cheaper shops and they will do it better. This is 30 or 45 assets a term, each built against a prompt you are measurably losing.
Anyone who needs it this quarter.
Citations have to be published, crawled, then repeated by a model before they show up in an answer. Nobody can promise how long that takes, which is why retainers run for a 3-month minimum and nothing here is sold by the month.
The ask
A scoping call, not a pitch.
Find out what
the engines
say about you.
The audit is $800, takes ten business days, and comes off your first month if you go further. The first call is a scoping call, not a pitch.
Start with the measurement. Decide about the retainer afterwards.