---
title: "How tech consultancies reach enterprise shortlists via AI search"
description: "By being the firm AI answers tie to proven production results in a named platform and industry, backed by analyst, partner and client evidence."
canonical: "https://underneath.agency/resources/technology-consulting-firms-ai-search"
published: 2026-10-07
updated: 2026-10-08
publisher: "Underneath (https://underneath.agency/agent)"
entity: "https://underneath.agency/.well-known/entity.json"
---
Guide · AI search

# How does a technology consultancy get onto enterprise shortlists when buyers ask AI first?

By being the firm that AI answers connect with a specific platform, industry and production result, and by making sure the analyst reports, partner directories and client stories those answers draw on say so. Enterprise programs in cloud, data and AI are still won in competitive bids, but the long list that decides who gets invited is increasingly drafted with an assistant. No study has yet counted how many consulting contracts start that way.

This guide is for digital transformation, cloud, data and AI consultancies and systems integrators that sell multi-month enterprise programs. Advisory IT consulting for mid-size companies, and hands-on IT projects and support, follow different paths and are covered separately.

## The short version

1. The market is large and still growing: [Gartner](https://www.gartner.com/en/newsroom/press-releases/2025-10-22-gartner-forecasts-worldwide-it-spending-to-grow-9-point-8-percent-in-2026-exceeding-6-trillion-dollars-for-the-first-time) forecasts IT services spending of $1,869,269 million in 2026, up 8.7%.
2. AI is now the first thing buyers screen for: in [IDC’s survey](https://www.idc.com/resource-center/blog/how-service-provider-selection-criteria-have-shifted-what-we-learned-and-what-comes-next/) of 700 European organizations, AI capabilities rose from sixth to first among the criteria for choosing a services partner between 2023 and August 2025.
3. The money behind that shift is visible: [Accenture](https://newsroom.accenture.com/content/4q-full-fy25-earnings/accenture-reports-fourth-quarter-and-full-year-fiscal-2025-results.pdf) reported $37.64 billion of consulting new bookings in fiscal 2025, including $5.9 billion of generative AI new bookings.
4. Clients are not satisfied with what they get: in an [ISG study](https://www.silicon.co.uk/press-release/enterprises-seek-more-innovation-ai-value-from-service-providers-isg-study-shows), nearly 65 percent of enterprises were dissatisfied or only moderately satisfied with how their IT outsourcing providers innovate. Dissatisfied clients look for alternatives.
5. Assistants look for third-party proof: in [our brand entity study](https://underneath.agency/research/brand-entity-ai-recommendations-study), each tenfold increase in independent sites naming a brand went with 4.7 times the odds of being recommended.

## Who buys enterprise technology consulting, and what is one client worth?

A buying group led by the CIO, CTO or chief data officer, with procurement and often a sourcing advisor alongside.

The program decides the buyer. A cloud migration usually belongs to the CIO and the head of infrastructure; a data platform to the chief data officer; an AI program to a transformation office or a business unit leader with a CIO sponsor. Around each of them sits a large group. [Forrester’s 2026 buying study](https://www.forrester.com/press-newsroom/forrester-2026-the-state-of-business-buying/) counts 13 internal stakeholders and nine external influencers in a typical purchase, and finds procurement among the decision-makers in 53% of buying cycles.

External influencers matter more here than in most industries. Sourcing advisors run many large selections. ISG, one of them, says it works with more than 900 clients, including 75 of the world’s top 100 enterprises. Analyst firms, hyperscaler partner teams and software vendors also steer work toward the integrators they trust. Strategy firms hired by the CEO are covered in [our guide to management consulting firms](https://underneath.agency/resources/management-consulting-firms-clients-ai-search).

A client is worth the program and everything after it. The first statement of work is often a discovery phase or a pilot; the value comes from the build, the rollout, the next platform and, in many cases, a managed services contract. Accenture’s fiscal 2025 results show the scale at the top of the market: consulting new bookings of $37.64 billion in one year. Tier-2 integrators compete for the same programs with a sharper focus. [Technology Business Research](https://tbri.com/?p=17321) describes these firms as typically focused on “a country or region, a select few industries or a technology niche,” at sizes from 3,000 to 80,000 employees.

## Where do AI assistants sit in an enterprise consulting selection?

At the framing and long-list stages, before a request for proposal names who gets to bid.

A typical program selection runs in six steps:

1. **Trigger.** An AI mandate from the board, a data center exit, an ERP end-of-support date, or a pilot that stalled.
2. **Framing.** What should we build, in what order, and what have peers done?
3. **Long list.** Analyst rankings, hyperscaler partner directories, peers, sourcing advisors and, increasingly, AI assistants.
4. **Request for proposal.** Procurement and often an advisor run a formal bid.
5. **Proof.** Orals, workshops and paid pilots. For deals of $10 million or more, Forrester found 78% of buyers insist on a trial before they sign.
6. **Program.** A first statement of work, then follow-on phases.

Assistants already appear at steps 2 and 3 across business buying. In [a Gartner survey](https://www.gartner.com/en/newsroom/press-releases/2026-05-20-gartner-survey-finds-sixty-nine-percent-of-b-two-b-buyers-turn-to-sales-reps-to-validate-ai-generated-insights) of 645 B2B buyers in all sectors, 45% said they used generative AI during a recent purchase, “primarily to gather information on vendors and products.” The same survey found 69% prefer to check those insights with a sales rep, which in consulting means a partner or principal.

Services directories are moving into the assistants too. Clutch, a B2B services marketplace, [launched an app inside ChatGPT](https://www.demandgenreport.com/?p=52857) in 2026 so buyers can compare providers, reviews and “pricing signals” without leaving the conversation.

IDC’s survey explains why buyers start with questions rather than names. Buyers had stopped asking only “Can you build this?” and were asking “What should we build? What’s the market doing?” Those are exactly the questions a CIO now tries first on an assistant.

## What do enterprise buyers ask AI about consulting partners?

Questions that combine a platform, an industry, a scale and a risk. We wrote these examples to show typical phrasing; none was collected from a real buyer.

| Buyer | Example question |
|---|---|
| CIO, insurer | “Which consultancies have moved a core insurance platform to AWS without a long outage?” |
| Chief data officer | “Best Databricks implementation partners for a global retailer, and how do they differ?” |
| CFO sponsoring ERP | “SAP S/4HANA migration partners for a mid-size manufacturer in Germany?” |
| Transformation office | “Who has taken generative AI from pilot to production in banking, with named clients?” |
| Procurement | “Alternatives to the big four for a nine-month data program, with lower day rates?” |
| CTO | “Which systems integrators are strongest in ServiceNow for public sector?” |

Three features stand out. The questions name a platform, because buyers expect partner depth on Microsoft, AWS, Google Cloud, SAP, Salesforce, Snowflake or ServiceNow. They name an industry, because TBR found buyers now rank “specific line of business or domain” among the top three selection attributes. And they ask for proof of production, because pilots have disappointed: the MIT NANDA research reported by [Fortune](https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/) found generative AI implementation “falling short” for 95% of companies in its dataset.

## How does being named in an AI answer turn into a program?

Through an invitation to bid. An assistant’s answer can put a firm on the long list; the contract is still won in the room.

The path:

1. **AI answer.** A buyer or advisor sees three to eight firms named for a platform and industry.
2. **Long list.** The team checks the firms’ case studies, analyst positions and partner status.
3. **Request for proposal.** Five or six firms are invited, usually with a sourcing advisor.
4. **Workshop or pilot.** A paid discovery phase or proof of concept.
5. **Statement of work.** The first phase of the program.
6. **Expansion.** Build, rollout, run, and the next program.

Nothing is guaranteed after step 1. A CIO interviewed by TBR described the reality: every similar project is rebid, and “You can’t be 20%, 30% more expensive than the other.” What AI visibility changes is who gets to compete. A firm that is not on the long list never sees the bid, and in consulting the lost value is the whole multi-year relationship, not a single sale.

The partnership finding in the MIT research is the opening for consultancies. According to Fortune, buying from specialized vendors and building partnerships “succeed about 67% of the time, while internal builds succeed only one-third as often.” Enterprises that have failed alone are looking for help, and many begin by asking who has done it before. We explain why those early answers matter more than the clicks they replace in [what lost clicks mean for pipeline and revenue](https://underneath.agency/resources/ai-answers-pipeline-revenue).

## What decides whether an assistant names a consultancy?

No platform publishes how it chooses consulting firms; studies point to independent coverage, rankings and the searches assistants run.

**Documented by the platforms.** Assistants with web search retrieve pages and cite them; none documents a rule for choosing consultancies.

**Observed in our studies, across industries.** None of these studies asked about consulting firms specifically, so read them as a guide:

- **Independent coverage counts most.** In our brand entity study, the number of independent sites naming a brand in the cited pages was the strongest predictor we measured. A Wikipedia article added little once prominence was accounted for.
- **Rankings and awards get looked up.** In [our hidden-searches study](https://underneath.agency/research/ai-hidden-searches-study), ChatGPT ran a search aimed at a named publication, ranking or award in 43.8% of its answers. For consulting, the obvious targets are analyst evaluations, partner awards and industry rankings.
- **Self-published “best of” lists are a weak lever.** In [our study of self-ranking lists](https://underneath.agency/research/self-promoting-best-lists-study), 24.2% of AI-cited numbered “best X” lists with an identifiable publisher ranked their own publisher first. Assistants do cite them, but buyers and advisors discount them.
- **Google rank is only part of it.** In [our study of AI citations and Google rankings](https://underneath.agency/research/ai-citations-google-rankings-study), 8.3% of the pages ChatGPT cited ranked in Google’s top 10 for the question, against 25.7% for Claude.

**Our inference, specific to consulting.** A reasonable expectation is that assistants lean on the same sources enterprise buyers already trust: analyst evaluations, hyperscaler and software partner directories, named client stories, and trade press. The IDC and TBR findings point to the content buyers want, namely industry knowledge plus a current view on AI. Firms that publish that view under named leaders give both buyers and assistants something to cite. Our guide to [how brands build authority for AI search](https://underneath.agency/resources/how-brands-build-authority-for-ai-search) covers the general mechanics.

## What does it cost a consultancy to be missing?

The bids it never hears about, and the follow-on work behind them. No study has put a figure on that for consultancies.

- **Incumbents are exposed.** In the ISG study, more than two-thirds of enterprises were dissatisfied or only moderately satisfied with the cost of AI services, and about 47 percent of those using outsourcing services were not fully satisfied with providers’ ability to adapt to changing demand. Unhappy clients research alternatives, and an assistant is a quiet place to start.
- **Relationships no longer protect the account.** TBR found an “existing vendor relationship remained the least critical attribute for vendor selection.”
- **AI demand is concentrated in new categories.** IDC’s forecast has enterprises spending $400B in 2026 on AI platforms and services combined. Firms not associated with AI work in answers risk being left out of the fastest-growing part of the market, we infer.
- **Wrong facts travel.** An answer that describes a firm by its old specialty, or omits a platform it now leads, sends the wrong buyers and loses the right ones. Our guide to [fixing wrong brand information in AI answers](https://underneath.agency/resources/fix-wrong-brand-information-in-ai-answers) covers the corrections.

## How does GEO work for a technology consultancy?

It makes your platforms, industries and production results easy for assistants and buyers to find and verify. No one can promise a mention.

1. **Define the entity precisely.** Practices, platforms, partner tiers, industries, regions and leadership, stated the same way on your site, partner directories, LinkedIn and analyst profiles.
2. **Publish production proof, not pilot proof.** Named client stories with the platform, industry, scale and measurable result, cleared with the client. Buyers ask for this because so many pilots stalled.
3. **Keep partner listings current.** Hyperscaler and software partner directories are where buyers and advisors check depth. Specializations, certifications and industry tags should match what you sell now.
4. **Earn independent coverage.** Analyst evaluations, sourcing advisor briefings, trade press, conference talks and client-side speakers. Our entity study suggests independent mentions carry more weight than your own pages.
5. **Answer the framing questions.** IDC’s buyers want a point of view on what to build next. Publish clear, dated answers to the questions in the table above, by industry and platform, under named partners.
6. **Explain commercial models.** Fixed-fee discovery, outcome-based pricing, team shapes and typical durations. Procurement asks, and so do assistants.
7. **Test the long-list questions.** Ask ChatGPT, Gemini, Perplexity, Claude, Copilot, Google AI Overviews and AI Mode the questions your buyers ask, several times each, and record who is named and which pages are cited. One answer is a sample, not a verdict. If you plan comparison content, our review of [whether comparison pages help B2B citations](https://underneath.agency/resources/do-comparison-pages-help-b2b-ai-citations) sets out what it can do.

The same buying groups pick software too; [how AI assistants shape enterprise software shortlists](https://underneath.agency/resources/enterprise-software-shortlists-ai-search) covers that side. For one large example, see [how ERP vendors reach the shortlist](https://underneath.agency/resources/erp-software-ai-search).

## What can’t a consultancy measure yet?

How many enterprise programs began with an AI answer. No public study tracks a consulting selection from first question to signed statement of work.

- **Buyer surveys are cross-industry.** Gartner’s 45% covers B2B buyers of all kinds, not consulting buyers.
- **IDC’s selection data is European.** The 700 organizations were surveyed in Europe; American buyers may rank criteria differently.
- **Our studies did not ask about consultancies.** Their patterns come from other categories.
- **Attribution is hard.** Many buyers never click through, and a request for proposal rarely records where the long list came from. Our article on [why analytics miss AI visibility](https://underneath.agency/resources/why-analytics-miss-ai-visibility) explains the gap.

## Where should a technology consultancy start?

With the long-list questions your last ten winning clients would have asked before they invited you to bid.

Write them down by platform and industry. Ask each major assistant, several times, and compare the firms it names with the firms you met in those bids. Note which analyst reports, partner listings, client stories and articles are cited, and whether your platforms and industries are described correctly.

If you want help reading those answers, [talk to us about a review of your enterprise long-list questions](https://underneath.agency/contact). We will show where your firm is named and where competitors are, which sources the answers rely on, and which gaps in proof and coverage are most likely to cost you invitations to bid. The [generative engine optimization service](https://underneath.agency/services/generative-engine-optimization) page explains how we close them, from production client stories and current partner listings to analyst and advisor coverage.

## Frequently asked questions

### Do enterprise buyers use AI to find consulting firms?

Across B2B purchases, 45% of 645 buyers in Gartner’s survey used generative AI, mainly to gather information on vendors. No survey isolates consulting buyers.

### Do analyst reports still matter?

Yes, for buyers and, we infer, for assistants. ChatGPT searched for a named publication, ranking or award in 43.8% of answers in our hidden-searches study.

### Can a tier-2 integrator compete with the largest firms in AI answers?

Plausibly, on specific platforms and industries. Buyers rank domain knowledge highly, and assistants answer narrow questions with narrower lists, we infer.

### Should we publish our own “best consultancies” list?

It is unlikely to help much. In our study, 24.2% of AI-cited “best” lists ranked their own publisher first, and readers know it.

### How is this different from IT consulting for mid-size firms?

Enterprise programs run through sourcing advisors, procurement and formal bids. Mid-size advisory work is bought faster, often by one executive.

## Sources

- Gartner (2025-10-22), [Gartner forecasts worldwide IT spending to grow 9.8% in 2026, exceeding $6 trillion for the first time](https://www.gartner.com/en/newsroom/press-releases/2025-10-22-gartner-forecasts-worldwide-it-spending-to-grow-9-point-8-percent-in-2026-exceeding-6-trillion-dollars-for-the-first-time)
- IDC (2026-08-27), [How service provider selection criteria have shifted: what we learned and what comes next](https://www.idc.com/resource-center/blog/how-service-provider-selection-criteria-have-shifted-what-we-learned-and-what-comes-next/)
- IDC (2026-04), [IDC Directions 2026: The AI supercycle](https://www.idc.com/wp-content/uploads/2026/04/IDC-Directions-AI-Supercycle-Whalen.pdf)
- Accenture (2025-09-25), [Accenture reports fourth-quarter and full-year fiscal 2025 results](https://newsroom.accenture.com/content/4q-full-fy25-earnings/accenture-reports-fourth-quarter-and-full-year-fiscal-2025-results.pdf)
- ISG, via Silicon UK (2025), [Enterprises seek more innovation, AI value from service providers, ISG study shows](https://www.silicon.co.uk/press-release/enterprises-seek-more-innovation-ai-value-from-service-providers-isg-study-shows)
- Technology Business Research (2025-07), [TBR launches Enterprise Systems Integrators Market Landscape](https://tbri.com/?p=17321)
- Forrester (2026-01-21), [Forrester’s 2026 buyer insights: GenAI is upending B2B buying](https://www.forrester.com/press-newsroom/forrester-2026-the-state-of-business-buying/)
- Gartner (2026-05-20), [Gartner survey finds 69% of B2B buyers turn to sales reps to validate AI-generated insights](https://www.gartner.com/en/newsroom/press-releases/2026-05-20-gartner-survey-finds-sixty-nine-percent-of-b-two-b-buyers-turn-to-sales-reps-to-validate-ai-generated-insights)
- Fortune (2025-08-18), [MIT report: 95% of generative AI pilots at companies are failing](https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/)
- Demand Gen Report (2026-05-12), [Clutch launches first B2B services marketplace app on ChatGPT](https://www.demandgenreport.com/?p=52857)
- Underneath (2026), [Do Wikipedia and schema make AI assistants recommend a brand?](https://underneath.agency/research/brand-entity-ai-recommendations-study)
- Underneath (2026), [The hidden searches AI assistants run before they answer](https://underneath.agency/research/ai-hidden-searches-study)
- Underneath (2026), [How many “best of” lists cited by AI rank their own brand first?](https://underneath.agency/research/self-promoting-best-lists-study)
- Underneath (2026), [Do ChatGPT, Gemini, Perplexity and Claude cite pages that rank?](https://underneath.agency/research/ai-citations-google-rankings-study)

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