How AI Search Is Recommending Information Technology and Digital Transformation Services: Monthly Trends

Executive Summary

Accenture remains the category leader in October 2026, and the margin is no longer narrow. Its valid recommendation coverage reached 69.9%, up 28.6 points from 41.3% in September and up 21.9 points from the July 2026 baseline of 48.0%. The gap to the next brand, IBM Consulting at 58.7%, stands at 11.2 points versus a 3.9-point spread in September. That is a leadership position rebuilt, not defended.

Every brand with meaningful coverage in this vertical moved up in October 2026. IBM Consulting rose 21.3 points from 37.4% in September to 58.7%, the steepest single-month gain among tracked brands. Deloitte climbed 23.0 points from 34.3% to 57.3%, Capgemini rose 17.3 points from 30.4% to 47.7%, Cognizant gained 17.0 points from 24.1% to 41.1%, and CDW UK rose 1.3 points from 0.3% to 1.6%. No tracked brand declined significantly this month; the declines that shaped the September picture reversed across the board.

Against the baseline of July 2026, six of nine tracked brands registered significant gains. Accenture is up 21.9 points, IBM Consulting up 20.6 points, Deloitte up 17.3 points, Capgemini up 12.4 points, with Capgemini's move driven by a 7.3-point rise in raw mention presence, Cognizant up 8.8 points, and CDW UK up 1.4 points. Academia, Appurity, and DARE Technology remain at 0.0% coverage across the full series.

This is the sharpest single-month repositioning in the four-month record for this vertical. The movement is broad rather than isolated to one brand, and it reversed the erosion that defined July through September. Month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes.

Each monthly run begins with 800 prompt-surface observations (554 unique questions in October) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor; 629 were relevant and 171 were irrelevant. The public metrics use the 572 qualified observations that survive both qualification stages. For comparison, the July 2026 baseline began with 800 prompt-surface observations (525 unique questions), of which 551 were relevant and 249 irrelevant, yielding 527 qualified observations.

Key Findings

AI Response Inconsistency Alerts

Seven critical or high-severity factual inconsistencies were detected across four AI platforms: ChatGPT, Copilot, Gemini, and Perplexity. These conflicts concern how AI systems define and attribute membership in commonly referenced consulting groups, and they affect three tracked brands.

Deloitte

Four high-severity conflicts involve Deloitte, spanning membership in the Big Six IT services, the Big 4 IT consulting companies, and SAP delivery rankings.

When asked "What are the big six IT services?", Gemini stated that Deloitte is not among the six listed Big Six IT services firms and is mentioned only as part of the Big Four accounting firms, citing roadtooffer.com. Copilot stated that Deloitte is one of the Big Six IT services firms, citing worldmetrics.org, hackingthecaseinterview.com, and crn.com. The two responses cannot both be correct as the same group definition.

In a related conflict, Copilot's claim that Deloitte belongs to the Big Six IT services firms was contradicted by Perplexity, which stated that Deloitte is not listed among the Big Six, citing Wikipedia's Big Tech (India) entry, a LinkedIn post on Indian IT firms, and Wikipedia's Infosys page.

When asked "Who are the Big 4 IT consulting companies?", Copilot stated that Deloitte is one of the Big 4 IT consulting companies alongside Accenture, IBM Consulting, and Capgemini, citing wifitalents.com, hackingthecaseinterview.com, and icreativez.com. ChatGPT stated that the Big 4 are Deloitte, PwC, EY, and KPMG, and that the biggest IT consulting companies are a different list including Accenture, IBM Consulting, TCS, Infosys, Cognizant, and Capgemini, citing Wikipedia's Big Four accounting firms page. The flagged source on the ChatGPT side, Wikipedia's Big Four accounting firms page, carries the excerpt that the Big Four are Deloitte, EY, KPMG, and PwC.

When asked "Which Big 4 is best for SAP?", Gemini stated that Deloitte is the overall leader and has the highest SAP strength among the Big 4, citing prosple.com, a Reddit Big4 thread, and sap.com. Copilot stated that Deloitte generally ranks slightly lower in SAP-specific delivery depth than EY and KPMG, citing gitnux.org, zipdo.co, and worldmetrics.org. Two flagged sources were attached: the Prosple page, cited on the Gemini side, carries an excerpt noting Deloitte has won in terms of revenue each year, and the worldmetrics.org SAP consultancy page carries an excerpt ranking EY first overall and Deloitte second for value.

Accenture

Two high-severity conflicts involve Accenture, both concerning membership in the Big 4 for SAP consulting.

When asked "What are the Big 4 companies for SAP?", Copilot stated that Accenture is one of the Big 4 companies for SAP consulting, citing zipdo.co, worldmetrics.org, and wifitalents.com. Perplexity stated that Accenture is not one of the traditional Big Four and is a top competitor outside the Big 4, citing Wikipedia's Big Four accounting firms page, Investopedia, and a Glassdoor community thread. A flagged source on the Perplexity side, the Spanish-language Wikipedia page on the Big Four, carries the excerpt that the Big Four are Deloitte, PwC, EY, and KPMG.

In a separate conflict on the same question, ChatGPT stated that the Big 4 in SAP are Deloitte, PwC, EY, and KPMG, and that Accenture is listed as one of many other major SAP consulting partners rather than part of the Big 4, citing Wikipedia's Big Four accounting firms page, sap.com, and deloitte.com. Copilot stated that the Big 4 companies in SAP consulting are Accenture, Deloitte, PwC, and KPMG, citing zipdo.co, worldmetrics.org, and wifitalents.com. A flagged source on the ChatGPT side, Wikipedia's Big Four accounting firms page, carries the excerpt that the Big Four are Deloitte, EY, KPMG, and PwC.

IBM Consulting

One high-severity conflict involves IBM Consulting, concerning membership in the Big Six IT services.

When asked "What are the big six IT services?", Gemini stated that IBM Consulting is one of the six Big Six IT services firms, citing roadtooffer.com. Perplexity stated that IBM Consulting is not listed among the Big Six IT services firms, citing Wikipedia's Big Tech (India) entry, a LinkedIn post on Indian IT firms, and Wikipedia's Infosys page. A flagged source on the Perplexity side, Wikipedia's Big Tech (India) page, carries the excerpt that the definition primarily includes Tata Consultancy Services, Infosys, HCLTech, and Wipro, along with one or both of Cognizant and Tech Mahindra.

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

The raw collection size held constant at 800 source prompts across the series, while the share of prompts surviving qualification rose. August 2026 produced 576 qualified observations and September 2026 produced 586, meaning the qualified set grew for three consecutive months before easing to 572 in October. All six canonical AI surface families produced qualified observations in both the baseline and current months.

Benchmark-Level Metrics

The valid recommendation shortlist share rose from 48.6% in July 2026 to 71.2% in October 2026, a gain of 22.6 points. AI systems produced proportionally more valid recommendation shortlists in October than in July, which means the consultancies competed within a larger recommendation pool than at the start of the series.

AI Recommendation Trend

Questions This Section Answers

• Which brands gained recommendation coverage against the July 2026 baseline, and who leads in October?
• How large is Accenture's lead over IBM Consulting and Deloitte in valid recommendation coverage?

A broad category expansion with Accenture pulling clear at the top

Accenture holds first place at 69.9% coverage, 11.2 points ahead of IBM Consulting at 58.7%, and every brand with coverage gained against the July 2026 baseline.

The category-level change came from the combination of movements across several brands rather than one dominant shift, though Accenture's 28.6-point single-month rise stands apart from the rest. Six tracked brands exceeded normal month-to-month variation from the baseline, and all six moved upward.

What Changed This Month

Questions This Section Answers

• Did Accenture's October gain come from wider visibility or from converting existing presence into top-rank recommendations?
• Which brand posted the sharpest single-month coverage gain, and did its top-three placement move with it?
• Why did Capgemini's coverage rise without a matching gain in top-three placement?

Accenture: The leader pulls away

Accenture's valid recommendation coverage rose from 48.0% in July 2026 to 69.9% in October 2026, a gain of 21.9 points, significant against a 5.7-point threshold. The prior-to-current move is sharper still: up 28.6 points from 41.3% in September 2026, the largest single-month move the brand recorded in this series.

Placement quality moved with coverage. Accenture's top-three rate rose 19.8 points from 46.5% to 66.3% and its rank-one rate rose 18.3 points from 40.6% to 58.9%. In absolute terms it recorded 379 top-three placements and 337 rank-one recommendations against 572 qualified observations.

Raw mention presence was effectively flat, moving from 99.2% to 99.1%. The distinction the reader should notice is that Accenture did not become more visible in October; it became far more likely to be recommended at the top when it appeared. The brand was already nearly universally present in July.

Highest-priority diagnostic: Which specific prompt types converted Accenture's existing presence into rank-one recommendations in October, and which competing brands lost position in those same recommendation sets?

Deloitte: The sharpest single-month riser

Deloitte's valid recommendation coverage rose from 40.0% in July 2026 to 57.3% in October 2026, a gain of 17.3 points. The whole of that gain arrived in one month: coverage rose 23.0 points from 34.3% in September 2026, reversing a series that had declined from 40.0% in July to 38.9% in August to 34.3% in September.

Top placement strengthened. Deloitte's top-three rate rose 13.9 points from 32.3% to 46.2% against the baseline, and its valid recommendation count rose from 211 in July to 328 in October. Its rank-one rate moved 1.1 points from 3.8% to 4.9%, which sits within the threshold and is not a significant change on its own.

Raw mention presence rose 4.0 points from 77.8% to 81.8% and also sits within the threshold. The distinction worth noting is that Deloitte's coverage gain far outstripped its presence gain, so like Accenture the October move was a conversion story rather than a visibility story.

Highest-priority diagnostic: Which prompt categories that excluded Deloitte from recommendation shortlists in September included it in October, and what evidence did AI systems surface in those answers?

IBM Consulting: Second place on the back of a broad presence gain

IBM Consulting's valid recommendation coverage rose from 38.1% in July 2026 to 58.7% in October 2026, a gain of 20.6 points, significant against a 5.8-point threshold. The prior-to-current move was almost identical at 21.3 points from 37.4% in September 2026, so the gain arrived in a single step rather than accumulating.

IBM Consulting was the rare case where presence and coverage moved together. Its raw mention presence rate rose 10.9 points from 66.2% to 77.1%, a significant gain, even as coverage rose 20.6 points. Its top-three rate rose 22.0 points from 25.4% to 47.4% and its rank-one rate rose 1.6 points from 0.9% to 2.5%, both significant. In absolute terms it recorded 336 valid recommendations and 271 top-three placements.

The distinction is that IBM Consulting's October gain came from inside a much wider set of AI answers, not from a redistribution of a fixed pool. Its presence in October 2026 nearly matched Deloitte's, and its coverage nearly matched Deloitte's as well, leaving the two separated by just 1.4 points.

Highest-priority diagnostic: Which surfaces account for IBM Consulting's 10.9-point presence gain, and do those same surfaces carry the largest share of its rank-one placements?

Capgemini: The largest presence shift in the vertical

Capgemini's valid recommendation coverage rose from 35.3% in July 2026 to 47.7% in October 2026, a gain of 12.4 points. The prior-to-current move was 17.3 points from 30.4% in September 2026, continuing a series that had declined from 35.3% in July to 32.1% in August to 30.4% in September before reversing.

Capgemini's raw mention presence rate rose 7.3 points from 58.4% to 65.7%, a significant gain and the largest baseline presence movement among the consultancies. Top placement moved far less: its top-three rate rose 1.6 points from 10.8% to 12.4%, which sits below the threshold, and its rank-one rate rose 0.2 points from 0.2% to 0.4%.

The distinction the reader should notice is the gap between presence and placement. Capgemini is now mentioned in roughly two-thirds of qualified observations but appears in the top three in only about an eighth. Its 273 valid recommendations are the fourth-highest count in the vertical, but its rank-one count of 2 is near the bottom. Coverage gains here came from appearing more often, not from being elevated within the answers where it appears.

Highest-priority diagnostic: Which prompt types produce Capgemini mentions without a top-three placement, and which brands occupy the top slots in those same answers?

Cognizant: Recovery of position without a presence gain

Cognizant's valid recommendation coverage rose from 32.3% in July 2026 to 41.1% in October 2026, a gain of 8.8 points. The prior-to-current move was 17.0 points from 24.1% in September 2026, recovering the ground lost across July and August.

Raw mention presence was effectively flat at 55.6% to 55.9%, a movement of 0.3 points that sits well within the threshold. Top placement improved significantly: Cognizant's top-three rate rose 3.6 points from 6.5% to 10.1% against a 3.2-point threshold. Its valid recommendation count rose from 170 in July to 235 in October.

The distinction is that Cognizant gained coverage without gaining visibility. Its answers changed what they recommended, not how often they mentioned the brand. Small-count caution applies to its placement figures: 58 top-three placements and 4 rank-one recommendations across 572 qualified observations constrain how much weight any single prompt can carry.

Highest-priority diagnostic: Which recommendation shortlists added Cognizant between September and October, and which brands were displaced in those shortlists?

CDW UK: Coverage rising off a very small base

CDW UK's valid recommendation coverage rose from 0.2% in July 2026 to 1.6% in October 2026, a gain of 1.4 points against a 1.1-point threshold. The prior-to-current move was 1.3 points from 0.3% in September 2026. Its valid recommendation count rose from 1 in July to 9 in October, and its presence rose from 9 qualified observations in July to 18 in October.

Placement remains absent at the top. CDW UK recorded 0 top-three placements and 0 rank-one recommendations in October 2026, unchanged from the baseline, and its average recommended rank was 5.6667. Its net sentiment score by mentions stood at 0.5 against 0.1 at baseline.

The distinction the reader should note is scale. Nine valid recommendations and 18 mentioned observations are small absolute counts, and the significant threshold scales with them. A single additional prompt appearing in the set can move this brand's coverage materially. Significance here should be read as worth watching, not as a structural shift.

Highest-priority diagnostic: Which specific prompts surface CDW UK at all, and what category or geography do they describe?

Academia, Appurity, and DARE Technology: Absent across the full series

All three brands recorded 0.0% valid recommendation coverage in every month from July 2026 to October 2026. None appeared in any qualified observation in October 2026, and none recorded a single mention. Their presence and coverage both sit at zero and have not moved across four months.

The distinction is between absence and performance. A brand with zero coverage is not being compared unfavourably; it is not appearing in the recommendation sets the benchmark tests at all. Whether that reflects the prompt universe used in this vertical, the category framing the prompts assume, or something else is not answerable from the capsule data.

Highest-priority diagnostic: Do these brands appear anywhere in the wider prompt universe outside the qualified set, and if so, under what category framing?

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters produced qualified recommendations for information technology providers in October 2026?
• Why can't the benchmark explain how AI systems rate providers on pricing or head-to-head comparisons?

The qualified observations for this vertical all fell into the Brand Recommendation class in October 2026, as they did in July 2026. The public benchmark therefore could not answer price, value, or head-to-head comparison questions this month, because no observations survived into the Pricing & Value or Multi-Brand Comparison classes. Some pricing_analysis and comparison_analysis response types were recorded in the raw distribution, but they did not produce qualified brand-level recommendation observations in either class.

Buyers asking AI systems to compare or price information technology and digital transformation providers are operating outside what the public metrics can currently characterize. The coverage figures in this report describe who AI systems recommend when asked for a provider, not who they rate on cost or how they perform in a direct head-to-head evaluation.

Brand Opportunity Summary

Questions This Section Answers

• Which brands show significant momentum in October 2026, and which remain absent from the qualified set?
• What specific diagnostic should each brand investigate based on its October coverage signal?

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the LLM Authority Index AI Visibility Market Discovery research program.

• AI Visibility Industry Market Methodology
• AI Visibility Industry Market Metrics
• AI Visibility Industry Market Standards

Report-Specific Interpretation Notes

• Small-count movement: CDW UK's 1.4-point baseline rise reflects 9 valid recommendations and 18 mentioned observations in October 2026. Significance thresholds scale with count, so small brands can register significant movement on very few prompts. Brands at zero across all four months should be read as absent from the qualified set, not unsuccessful.
• Qualified denominator vs raw collection: Brand percentages are calculated against 572 qualified observations in October 2026, not the 800 source prompts collected, and not the 629 prompts that passed the relevance stage.
• Directional analysis: Baseline-to-current movement identifies changes worth investigating, not their causes. The October 2026 movement coincided with a 22.6-point rise in the valid recommendation shortlist share, which means the recommendation pool itself was larger than in July; brand-level gains and the pool expansion are separate signals.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

Beneath the aggregate percentages sit the questions that define competitive position: which high-intent prompts drove Accenture's 28.6-point single-month gain, which competitors were displaced when Deloitte and Cognizant re-entered shortlists they had left, what attributes AI systems associate with Capgemini when they mention it without recommending it at the top, and which external sources shape those answers. The public benchmark cannot answer those questions from aggregate coverage alone.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It isolates the specific contexts where a brand gains or loses AI recommendation authority.

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