AI visibility for consulting, accounting & M&A advisory
Be Advisor AI recommends
Buyers now build the shortlist in ChatGPT and draft the RFP in Copilot before a referral call happens — and only 7% of AI answers name a specific firm. Inserviss makes it yours.
Questions a shortlisting client asks AI assistants about consulting and advisory firms — the demand this map samples across boutique advisory firms, accounting & tax advisory, and M&A / transaction advisory:
Finding an Advisor: best boutique strategy consulting firm [city]
Finding an Advisor: independent management consultant for a mid-market company
Finding an Advisor: alternative to McKinsey for a smaller budget
Finding an Advisor: how to choose a management consultant
Finding an Advisor: consulting firm specializing in operations turnaround
Finding an Advisor: fractional strategy advisor for a founder-led business
Finding an Advisor: consultant who has done this in our industry [sector]
Finding an Advisor: small consulting firm that actually does the work not juniors
Finding an Advisor: advisor for a post-merger integration [sector]
Finding an Advisor: consulting firm for a family business succession
Finding an Advisor: boutique consultancy vs Big Four for [problem]
Practice Areas & Sectors: consulting firm with deep [sector] experience
Practice Areas & Sectors: go-to-market strategy consultant for B2B SaaS
Practice Areas & Sectors: pricing strategy consulting firm
Practice Areas & Sectors: supply chain consultant for a manufacturer
Practice Areas & Sectors: org design and operating model consultant [sector]
Practice Areas & Sectors: digital transformation advisor that isn’t vaporware
Practice Areas & Sectors: cost reduction consultant for a PE portfolio company
Practice Areas & Sectors: customer experience consulting firm [sector]
Practice Areas & Sectors: consultant for entering a new geographic market
Practice Areas & Sectors: ESG / sustainability strategy advisor [sector]
Fees & Engagement: how much does a management consulting engagement cost
Fees & Engagement: consulting firm day rate vs fixed fee
Fees & Engagement: typical fee for a 3-month strategy project
Fees & Engagement: do boutique consultants offer value-based pricing
Fees & Engagement: consulting retainer vs project pricing [sector]
Fees & Engagement: what drives consulting fees up
Fees & Engagement: consulting firm that scopes a fixed-price diagnostic
Fees & Engagement: how to control consulting spend on a project
Fees & Engagement: small consulting firm hourly rate benchmark
Fees & Engagement: consulting engagement letter what to look for
Scoping & Fit: do we need a consultant or can we do this in-house
Scoping & Fit: how to write a consulting RFP
Scoping & Fit: consulting firm shortlist for a strategy review
Scoping & Fit: how long does a typical consulting project take
Scoping & Fit: consultant for a board-level strategic question
Scoping & Fit: consulting firm that will challenge our assumptions
Scoping & Fit: right size of firm for a $2M revenue problem
Scoping & Fit: consultant who transfers knowledge to our team
Scoping & Fit: red flags when choosing a consulting firm
Scoping & Fit: consulting proposal what a good one includes
Credentials & Track Record: consulting firm with a proven track record in [sector]
Credentials & Track Record: how to check a consultant’s background and results
Credentials & Track Record: consultant with prior operating experience not just advisory
Credentials & Track Record: consulting firm partner bios and expertise
Credentials & Track Record: consultant who has published on [topic]
Credentials & Track Record: boutique consultancy client list [sector]
Credentials & Track Record: consulting firm awards and rankings
Credentials & Track Record: consultant certifications that actually matter
Credentials & Track Record: how many similar projects has this firm done
Credentials & Track Record: consulting firm case studies for [problem]
Fees & Success Structure: Lehman formula vs modern M&A fee structures
Fees & Success Structure: minimum fee for an M&A engagement
Fees & Success Structure: quality of earnings fixed fee range [deal size]
Fees & Success Structure: what a Wall Street escalator is in an M&A engagement
Fees & Success Structure: M&A advisor fees for a deal that doesn’t close
Fees & Success Structure: buy-side advisor retainer vs contingent fee
Fees & Success Structure: how M&A advisory fees compare to a broker
Fees & Success Structure: M&A engagement letter tail period explained
Sector & Deal-Size Fit: M&A advisor that does sub-$25M software deals
Sector & Deal-Size Fit: transaction advisor for a healthcare services roll-up
Sector & Deal-Size Fit: M&A advisor experienced with industrials [sector]
Sector & Deal-Size Fit: advisor for a consumer brand sale to a strategic
Sector & Deal-Size Fit: right M&A advisor for a $100M+ deal
Sector & Deal-Size Fit: M&A advisor with the right buyer relationships in [sector]
Sector & Deal-Size Fit: transaction advisor for a services business with recurring revenue
Sector & Deal-Size Fit: M&A advisor for a business with customer concentration
Sector & Deal-Size Fit: advisor for a take-private or public-company deal
Sector & Deal-Size Fit: M&A advisor for a minority stake sale
Team & Track Record: M&A advisor closed deal list in [sector]
Team & Track Record: how to check an M&A advisor’s deal experience
Team & Track Record: which advisor sold [comparable company]
Team & Track Record: M&A advisory firm league table lower middle market
Team & Track Record: senior banker attention vs handed to an analyst
Team & Track Record: M&A advisor close rate and process outcomes
Team & Track Record: transaction advisor team bios and prior firms
Team & Track Record: M&A advisor average premium achieved for sellers
Team & Track Record: how many deals does this advisor run at once
Team & Track Record: M&A advisor references from sellers in our situation
References & Outcomes: M&A advisor reviews and client outcomes
References & Outcomes: reference questions to ask a sell-side advisor
References & Outcomes: did this advisor get the seller a good outcome
References & Outcomes: M&A advisor reputation with private equity buyers
References & Outcomes: transaction advisor that kept the deal on track
References & Outcomes: what founders say about working with this M&A advisor
References & Outcomes: advisor that maximized value vs just got a deal done
References & Outcomes: M&A advisor testimonials from [sector] sellers
References & Outcomes: advisor references from deals that had complications
References & Outcomes: M&A advisor repeat engagements with PE firms
0%
Current coverage
$0.4–0.9M
AI fee value inquired a year
2–4
Est. new engagements a year via AI
E
AI visibility grade
Not citing you — going to LinkedIn, a marketplace, or no oneCurrently cites you — wired to your firm
The 6-month view is an illustrative projection of winnable questions with AI Agents: Scout, Maker, and Anchor running continuously — not a forecast for a specific firm.
What you’ll see
Your console, from day one
Shortlist opportunities, overnight work, reach, engagements influenced — one live view.
Opportunities your agents found
Ranked by how fast you can win them
"Best M&A advisor for [industry] deals under $50M"
Nobody cited yet · ~85 asks/month · exactly your specialty
Approve fix
"Boutique tax firm for [situation]"
High value · a mega-consultancy is named instead · winnable in ~3 weeks
Approve fix
"Consulting firm for [specific transformation]"
Nobody cited yet · ~60 asks/month · matches your practice area
Approve fix
"[Firm] case results" — nothing published, so AI has nothing to cite
Your outcomes live in a pitch deck an AI model will never read
Refresh now
"Who does turnaround M&A work" — cited, but names a mega-consultancy
You’ve run this exact playbook dozens of times
Fix wording
Agents working overnight
While you slept, four things happened
Scout spotted a zero-citation query: "boutique tax firm for [situation]"
3 hours ago
Maker published a structured practice-area page for "[specialty]"
6 hours ago
Scout re-checked 24 questions across ChatGPT, Claude, Gemini and Perplexity
8 hours ago
Maker published an outcome-specific case study answer block
yesterday
What visibility is actually worth
Since your agents started working
0
visitors from AI this month
▲ new channel
$0
engagement value traced to AI
▲ 4 inquiries
Visitors from AI this month, by engine
ChatGPT 74Claude 38Gemini 21Perplexity 9
Real consultations, closed the loop
Every consultation traced to the question that won it
4
consultations
$18.4k
pipeline
$4.6k
avg engagement
RD
R. Delacroix · Turnaround M&A, mid-market
Thu 15:00
via ChatGPT
$6,200
NO
N. Okafor · Tax Restructuring
Tue
via Claude
$2,800
TW
T. Whitfield · Growth Strategy Engagement
Wed 10:00
via Gemini
$5,400
MS
M. Sato · Due Diligence Advisory
Fri 09:00
via Perplexity
$4,000
Just paste your website or firm name — no forms, no design work
AI Visibility Score
One number. Every engine. Never blended.
0–100 for whether AI names your firm on a shortlist and gets practice areas, sector expertise and fee approach right. Toggle three months forward.
Illustrative — a sample advisory firm
0F
Named by AI · How often assistants name the firm on a shortlist at all0
Vs. competitors · Share of the answer next to LinkedIn, the marketplaces and the Big Four0
Facts correct · Whether practice areas, sector expertise and fee approach are right and current0
Listed where AI looks · Completeness on Clutch, GoodFirms and the directories assistants pull from0
Site AI can read · Whether the firm’s practice-area and expertise pages are machine-readable0
Where the firm stands, engine by engine — never blended
ChatGPTwhere a buyer benchmarks providers before a callNot cited
Microsoft Copilotwhere the shortlist / RFP memo gets draftedNot cited
Google AI Overviewsthe broad “best [type] firm for [problem]” surfaceNot cited
Anthropic Claudeincreasingly powers internal research toolsNot cited
AI rarely names this firm on a shortlist — and when it does, a practice area or a fee approach is out of date. Buyers are being routed to LinkedIn, B2B marketplaces like Clutch, and the Big Four instead.
Every month, AI verifies more facts about your firm — practice areas, sector depth, fee approach, partner credentials, representative engagements — and they stay. A competitor starting today is months behind.
A sample of the graph. Scout verifies the facts, Maker publishes the answers, Anchor gets the directories and press right — and it only ever grows. Illustrative figures.
Monthly report
One report. Every month.
Your score and its trend, citations by engine, where you stand against the firms buyers compare you to, what the agents did, and what needs your review.
Illustrative sample — not a real client’s data.
Monthly AI Visibility Report
Meridian Advisory Partners
August 2026
Delivered 1 September 2026
Across 6 engines, 42 tracked queries, 3 named competitors.
0 / 100▲ +15 this monthAI Visibility Score for Meridian Advisory Partners, August 2026: 36 out of 100, grade F, up 15 points from last month.
AI Visibility Score · Grade F
Meridian now appears on roughly one in three AI-built shortlists for its practice areas — a month ago it appeared on almost none. On “best boutique firm for [sector] operations”, LinkedIn and a marketplace still answer in your place.
Key numbers
35%
Overall citation rate
▲ +15pts
2nd
Share of voice, 3 named rivals
▲ from 4th
95%
Practice-area accuracy
▲ +11pts
20
New knowledge-graph entities
▲ 138 total
Citation rate by engine — never blended
ChatGPT42%
Microsoft Copilot — new this month27%
Google AI Overviews31%
Perplexity24%
Anthropic Claude22%
Gemini17%
Copilot grounding data — new source, live since domain verification
49
Grounding queries matched your practice areas
16
Shortlist-intent queries, of 49
3
Pages cited (0 last month)
5 of 16
Shortlist-intent queries you now win
▲ from 1 of 16
Citation share — you vs. named competitors
“Best boutique firm for [sector] operations turnaround”
You12%
a LinkedIn thread66%
“Alternative to the Big Four for [problem]”
You10%
a B2B marketplace71%
“Is Meridian Advisory Partners any good”
You8%
an outdated directory profile52%
Flagged for your review
FixChatGPT still lists a practice area you sunset last year — sent to Maker for correction.
Gap“Fixed-fee diagnostic for [sector]” has no answer page — 13 shortlist-intent queries a month, never cited.
What your agents did in August
Scout verified your Bing Webmaster Tools domain — Copilot grounding data is now live
Maker published a structured “[sector] operating-model” practice-area page with full schema
Scout re-sampled 42 tracked questions across all six engines
Anchor submitted an updated Clutch profile and service focus — pending review
While the office was closed for the weekend
Scout caught a competitor’s new sector-focus page going live on Saturday
Anchor aligned the LinkedIn company page and partner bios with the site
Maker ungated a representative-engagement summary so Copilot can quote it directly
Knowledge graph — your persistent asset
138
Entities tracked (+20)
660
Verified connections (+142)
93%
Average confidence score
The graph is yours and it compounds. Every month it holds more verified facts about your firm — practice areas, sector depth, fee approach, partner credentials, representative engagements — so answers get harder to get wrong and the firm gets harder for a competitor to displace. Stop, and it stops growing; stay, and each month starts further ahead than the last.
Focus for September
Close the fixed-fee-diagnostic content gap — 13 shortlist-intent queries a month, unanswered
Push citation share on “alternative to the Big Four for [problem]” past the 71% marketplace lead
Complete the GoodFirms profile and the next trade-press briefing
Just paste your website or firm name — no forms, no design work
FAQ
The detail, if you want it
When a buyer shortlists providers, they now ask ChatGPT to benchmark firms and draft the RFP memo in Copilot before a referral call ever happens — and only about 7% of AI answers name a specific firm, with LinkedIn cited more often than any accounting or consulting brand.¹ Inserviss measures exactly where you're losing that citation across all six engines, rebuilds your practice-area, sector-expertise and fee-approach content into structured, answer-first pages the engines can quote, and — for larger firms — does the guided directory and press work self-serve software can't do alone.
Three ways. The invisible shortlist: a buyer's Copilot RFP memo names LinkedIn, Clutch and the Big Four, and never you, because your expertise isn't structured for anything to reference. The stale profile: an engine describes a practice area you've moved on from, or a sector focus you've since built. The generic hedge: asked which firm fits a specific problem, the assistant says “it depends, look at a few firms” instead of naming yours — because nothing on your site answers that exact question in a way it can lift.
ChatGPT is where a buyer benchmarks providers before a first call. Microsoft Copilot is where the shortlist and the RFP memo actually get drafted, inside Microsoft 365. Perplexity is where research-oriented buyers check credentials and sources. Google AI Overviews is the broad “best [type] firm for [problem]” surface, and Claude increasingly powers internal research tools on the buyer's side. Every score, table and recommendation Inserviss produces stays per-engine — we never average them into one blended number, because the engines behave differently and diverge.
One system, three jobs. Scout samples ChatGPT, Copilot, Gemini, Claude, Perplexity and Google AI on the questions a shortlisting buyer in your space actually asks, and tracks whether you're named, where, and whether the practice areas and fee approach are right. Maker is the on-domain fix: answer-first practice-area and sector-expertise pages, structured representative-engagement content, a fee-approach page, full schema, and a consultation intake flow. Anchor is off-domain — Clutch, GoodFirms, LinkedIn, trade press and rankings — kept complete and consistent with your own site. Nothing publishes without your review, built to stay within your professional conduct rules.
On your site, Maker turns a vague “what we do” page into structured per-practice-area content with sector depth and who each service is for, turns a partner-bio grid into machine-readable credential pages, publishes a plain-language fee-approach page, adds structured representative-engagement content, and adds schema and an llms.txt. Off your site, Anchor takes your Clutch and GoodFirms profiles from thin to complete, your LinkedIn company and partner pages from inconsistent to current, and your trade-press and rankings presence from ad hoc to maintained. Every change is tracked with a before, an after, and the date it moved.
Referrals still work, but 61% of buyers now consult AI when shortlisting a provider before a referral call ever happens¹ — and AI can't cite what isn't written down and structured. This builds the citable record referrals never leave behind, alongside what already works for you.
Yes — service and practice-area descriptions, fee disclosure, and case-study content are all built to stay within what your professional rules actually permit, and nothing publishes without your review first.
Structured practice-area and expertise content is still the highest-leverage fix on its own — AI rewards specificity and structure, not just outcome data. Case studies help once you’re ready, but they’re not the only evidentiary bar this research documents.
Not yet, and we won't tell you otherwise. Anchor (keeping Clutch, GoodFirms, LinkedIn, and trade-press coverage complete and consistent with your own site) is the next thing we're building, not something you can buy today. Scout and Maker are both live now and address the two most-documented gaps in this research on their own.