Prepared for FEV Analytics · November 2026
Trelliswork AI Visibility Benchmark · ChatGPT

ChatGPT names FEV Analytics in 5 of 60 buyer answers.

All 5 come from answers with web search on. From memory alone, ChatGPT thinks FEV Analytics is part of FEV Group, the German automotive engineering firm. Ask it who can price private assets every day for a 401(k) fund, and it sends buyers to S&P Global, Kroll and the fund administrators.

5 / 60

Buyer answers that name FEV Analytics, 0 with search off and 5 with search on

3 / 3

Brand answers that describe FEV Analytics correctly with search on. With search off, 0 of 3.

63

Other companies named. S&P Global Market Intelligence leads with 36 answers.

01 / Brand baseline

From memory, ChatGPT confuses you with a car engineering firm. With search, it finds you.

With search off, the answer shows what the model already believes. With search on, it shows what it can find. Search off, every run describes FEV Group's automotive analytics. Search on, every run gets the company right, but none names Alts-Align, and all of them rank 401(k) plans third among your buyers.

What does ChatGPT think you are?

Asked: “Who is FEV Analytics?”

Search off

Mistakes you for FEV Group

All three runs call FEV Analytics the analytics arm of FEV Group in Aachen, Germany, and describe vehicle, battery and powertrain analytics. Each run says it can’t confirm the company.

0 of 3 runs right

Search on

Finds you, with the right story

Reads fevanalytics.com, LinkedIn, the CFA Institute and an SEC filing. Gets Kirkland, 2013, daily values for private equity, credit, real estate and infrastructure, the 401(k) angle, and all three Porter co-founders.

3 of 3 runs right

Who does it think you serve?

Asked: “Who is FEV Analytics’ ideal customer?”

Search off

Car makers

All three runs describe automotive OEMs and Tier 1 suppliers, with a VP of Engineering as the buyer.

0 of 3 runs right

Search on

Asset owners first, 401(k) third

All three runs lead with pensions, endowments and alternative managers. Retirement platforms come third, though your site leads with alts in 401(k) plans.

3 of 3 runs right

02 / How the benchmark works

We asked the way a buyer asks, then counted who got named.

Ask like a buyer

10 questions written from the buyer's side, with a real constraint in each. FEV Analytics' name never appears in them.

Two modes

Each question ran with web search off, from memory, and on, where ChatGPT reads the web first.

Three fresh runs

Every question ran three times in a clean temporary chat on a paid test account with memory off, so one lucky answer can't skew it.

Count who's named

We pulled every company each answer recommends, in order, and tallied them across all runs.

10 + 2 questions×2 modes×3 runs=72 answers
Visibility

Share of the 60 buyer answers that name you.

Consistency

How many of the 3 runs name you for the same question.

Recognition

Whether the brand questions describe you correctly.

03 / The questions

12 questions across the buying journey.

Brand

Names FEV Analytics. Scored for recognition, kept out of the visibility count.

  1. B1Who is FEV Analytics?
  2. B2Who is FEV Analytics' ideal customer?
Awareness

The buyer is naming the need and looking for a shortlist.

  1. Q01Which companies provide daily NAV valuations for private equity and private credit held in 401(k) target-date funds?
  2. Q02independent private asset valuation provider for a daily priced collective investment trust
  3. Q10private equity index and benchmark data provider for manager evaluation
Consideration

The buyer is comparing specialists, options and alternatives.

  1. Q03We're a recordkeeper adding a private markets sleeve to our managed accounts, and our system needs a price for every holding every day. Who can value the private equity, private credit and real estate pieces daily?
  2. Q04alternatives to Kroll and Houlihan Lokey for daily private equity valuation
  3. Q05We're a university endowment with about $20 billion across private equity, real estate and infrastructure. GP NAVs arrive a quarter late. Who can give us holdings-level estimates of current value between quarterly reports?
  4. Q06holdings level proxy valuation for private equity funds between quarterly gp nav reports
  5. Q09We're a $3 billion asset manager launching our first interval fund with private credit. We only need monthly marks now but want daily pricing later. Who should we talk to?
Decision

The buyer is checking cost and how to choose.

  1. Q07how much does daily valuation of private assets cost for a 401(k) fund
  2. Q08What should a plan fiduciary look for when choosing an independent valuation provider for private assets in a 401(k)?
04 / Who ChatGPT recommends

Valuation advisors and data giants own the shortlist. You show up only when search is on.

S&P Global Market Intelligence is named for 9 of 10 questions, and MSCI, Kroll and Houlihan Lokey fill most of the rest. The nearest miss is Q05. An endowment asking for holdings-level values between GP NAV reports is your UC Investments case, and ChatGPT named MSCI, Kroll and Houlihan Lokey in all 6 answers.

AwarenessConsiderationDecision
Q01401(k) target-date fundsQ02Daily priced CITQ10Index and benchmarksQ03Recordkeeper, daily pricesQ04Alt. to Kroll / HoulihanQ05Endowment, between GP NAVsQ06Holdings-level proxiesQ09Interval fund, monthly to dailyQ07Cost for a 401(k) fundQ08What fiduciaries check
FEV Analytics1112
S&P Global Market Intelligence551664252
MSCI competitor4265662
Kroll competitor656–66
Houlihan Lokey534–661
Lincoln International633613
State Street6125141
SS&C Technologies63213
Stout221621
StepStone242211
BNY61121
PitchBook6111
Preqin611
Chronograph35
SEI611
Apex Group4111
73 Strings competitor2
Answers naming the company, of 6 per question123456FEV Analytics row– named in the question, not counted
05 / Why competitors are winning

The firms ChatGPT names publish proof at scale. FEV Analytics publishes almost none.

Kroll has 129 case studies and 4,336 posts, and ChatGPT names it in 29 answers. FEV Analytics' sitemap lists 3 posts and no case studies, the site has no LinkedIn link, and ChatGPT names it in 5. FEV sits below the peer median on all four signals below.

LinkedIn followers
371FEV Analytics
168KPeer median
LinkedIn company pages
Blog and news posts
3FEV Analytics
1,270Peer median
Site maps
Case studies
0FEV Analytics
3.5Peer median
Site maps
Domain Rating
3FEV Analytics
66.5Peer median
Ahrefs

Brand score

Average of six signals, each scored against the strongest company in the set: Domain Rating as is, and referring domains, organic visits, posts, case studies and LinkedIn followers on a log scale.

S&P Global Market Intelligence95named in 36 of 60
Kroll89named in 29 of 60
MSCI76named in 31 of 60
Houlihan Lokey70named in 25 of 60
Lincoln International60named in 22 of 60
Chronograph56named in 8 of 60
73 Strings52named in 2 of 60
Valuation Research Corporation50named in 6 of 60
FEV Analytics20named in 5 of 60

Footprint vs. answers

A bigger footprint helps, but it doesn't decide the shortlist. 73 Strings, the closest platform rival, scores 52 and gets named in 2. FEV Analytics scores 20 and still gets named in 5, because one trade press article and a site built around 401(k) pricing matched the questions.

010203040020406080100Brand scoreAnswers naming them (of 60)FEV Analytics (20, 5)S&P Global MI (95, 36)MSCI (76, 31)Kroll (89, 29)Houlihan Lokey (70, 25)Lincoln International (60, 22)73 Strings (52, 2)Chronograph (56, 8)VRC (50, 6)
The outlier

73 Strings has 39K LinkedIn followers and 73 posts, and ChatGPT names it 2 times.

ChatGPT names it only for Q04, the alternatives question: once as a tool for scaling in-house PE valuation, and once with a note to verify that it delivers daily values. A big footprint without a page about daily pricing for retirement funds doesn't get a firm onto this shortlist. FEV Analytics has the right story for this buyer. What it lacks is the proof and the pages to carry it.

CompanyNamed (of 60)Brand scoreDomain RatingReferring domainsOrganic visits / moRanking keywordsBlog and news postsCase studiesLinkedIn followers
S&P Global Market Intelligencespglobal.com/market-intelligence369591112,518857,14335,00119,24650401K
MSCImsci.com31768527,873168,1644,8242,8161364K
Krollkroll.com29898318,98391,1794,7204,336129253K
Houlihan Lokeyhl.com2570706,80944,5383,1401,1763238K
Lincoln Internationallincolninternational.com2260633,1797,8211,5661,365098K
Chronographchronograph.pe856531,654838112180718K
Valuation Research Corporationvaluationresearch.com650441,5871,789401183113K
73 Strings73strings.com252421,0031,0624573439K
FEV Analyticsfevanalytics.com52038630030371
  • Domain Rating, referring domains, organic visits and ranking keywords from Ahrefs, November 11, 2026, all locations. Posts and case studies counted from each site's XML sitemaps on November 11, English pages only. LinkedIn followers as shown on each company page, rounded.
  • S&P Global Market Intelligence and MSCI are measured on their parent domains in Ahrefs, which also carry ratings, indexes and ESG. Their posts and pages count Market Intelligence URLs only for S&P, and the whole site for MSCI. MSCI now owns Burgiss.
  • Houlihan Lokey is measured on hl.com. Valuation Research Corporation shows about 16 case studies on one page without their own URLs, counted as 1. Only 1 of MSCI's 7 case-study URLs is a client story.
  • FEV Analytics' 863 referring domains send about one link each, and Ahrefs finds no ranking keywords. Its site has no LinkedIn link, so the follower count comes from the company page ChatGPT cited. The UC Investments case study is gated, so it has no page of its own.
  • 73 Strings, Kroll and MSCI are our picks as your closest competitors. S&P Global Market Intelligence, Houlihan Lokey, Lincoln International, Chronograph and Valuation Research Corporation are firms ChatGPT names for your buyer questions.
06 / What's next

Choose your next step.

Option 01 /

Expand the report

Ask the same questions in every major AI platform for a full visibility report, not just ChatGPT.

GeminiPerplexityClaudeGrokMicrosoft Copilot
Expand the report
Option 02 /

Build your content strategy with Trelliswork

We plan and produce the pages, proof and placements AI models draw on, and get FEV Analytics on the map.

Talk to Trelliswork