Appurity AI Visibility Market Strategy Report - Information Technology and Digital Transformation Services

Answer Capsule

Appurity recorded 0.0% valid recommendation coverage in the October 2026 LLM Authority Index benchmark for Information Technology and Digital Transformation Services, with zero mentions across all 572 qualified observations. The benchmark shows Appurity is absent from the recommendation sets that AI systems produce when buyers ask for IT and digital transformation providers. The clearest opportunity is establishing any baseline presence in the Brand Recommendation cluster, where competitors including Accenture, IBM Consulting, and Deloitte are capturing recommendation-stage visibility. The clearest risk is that absence from AI-generated recommendations compounds over time as buyers increasingly rely on AI-led discovery for shortlist formation.

Who This Report Is For

This report is for Appurity's leadership, marketing, and business development teams, and for enterprise technology buyers evaluating whether Appurity appears in AI-generated provider recommendations for IT and digital transformation services.

Report Card

Executive Summary

Appurity recorded zero mentions, zero valid recommendations, and 0.0% valid recommendation coverage across all 572 qualified observations in the October 2026 LLM Authority Index benchmark for Information Technology and Digital Transformation Services. The benchmark found no presence for Appurity on any of the six tracked AI platforms: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. This is not a case of weak recommendation conversion or poor placement quality. It is complete absence from the recommendation sets that AI systems produce when buyers ask for IT and digital transformation providers.

The benchmark tracked nine brands in this vertical. Six recorded meaningful recommendation coverage in October 2026, led by Accenture at 69.9%, IBM Consulting at 58.7%, and Deloitte at 57.3%. CDW UK recorded 1.6% coverage on a very small base. Appurity, along with Academia and DARE Technology, remained at 0.0% coverage across every month of the four-month series from July 2026 through October 2026.

The category itself expanded significantly during the measurement period. 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 recommendation shortlists in October than in July, meaning the pool of recommendation opportunities grew. Appurity did not appear in any of them.

The benchmark's qualified observations all fell into the Brand Recommendation buyer-intent class. This means every prompt in the qualified set asked AI systems to recommend a provider for an IT or digital transformation need. Appurity was not recommended in any of these 572 instances.

The strongest platform signal in the benchmark came from AI Overviews, which produced the highest observation volume at 124 qualified observations. Accenture recorded a 73.4% rank-one rate on AI Overviews, the highest single-platform rank-one rate observed. Appurity recorded zero mentions on AI Overviews and zero mentions on every other platform.

The clearest gap is not a platform-specific weakness or a cluster-specific underperformance. It is the absence of any detectable presence in the AI-generated recommendation layer for this category. Whether that reflects the prompt universe used in this vertical, the category framing the prompts assume, or something else is not answerable from the benchmark data alone. What the data does show is that Appurity is not appearing in the recommendation sets the benchmark tests.

What Appurity Is Winning

The benchmark data does not show evidence-backed wins for Appurity in the October 2026 measurement period. The company recorded zero mentions, zero valid recommendations, zero top-three placements, and zero rank-one recommendations across all 572 qualified observations.

The absence of negative sentiment is not a meaningful win in this context. A brand with zero mentions has no sentiment to measure. The benchmark recorded no negative framing for Appurity because it recorded no framing at all.

If Appurity has visibility in AI systems outside the qualified prompt set used in this benchmark, that visibility is not captured in the public data. The benchmark's scope is limited to the 572 qualified observations that survived the qualification process. Appurity's position outside that scope is unknown from this data.

Where Appurity Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Which platforms produced the most qualified observations in this category, and how did Appurity perform on each?
• How far behind are Appurity's recommendation numbers from competitors like Accenture, IBM Consulting, and Deloitte?
• Which buyer-intent cluster contained the qualified observations, and what does Appurity's absence there mean?

Appurity is absent from the AI-generated recommendation layer for Information Technology and Digital Transformation Services. The benchmark recorded zero mentions across all six tracked platforms and zero valid recommendations across all 572 qualified observations.

The gap is not a matter of degree. Competitors including Accenture, IBM Consulting, Deloitte, Capgemini, and Cognizant all recorded significant recommendation coverage in October 2026. Accenture alone recorded 400 valid recommendations and a 69.9% coverage rate. IBM Consulting recorded 336 valid recommendations at 58.7% coverage. Deloitte recorded 328 valid recommendations at 57.3% coverage. Even CDW UK, which recorded only 1.6% coverage, appeared in 18 qualified observations and received 9 valid recommendations.

Appurity appeared in none. The benchmark's qualified observations all asked AI systems to recommend an IT or digital transformation provider. In every instance, AI systems recommended other brands.

The gap extends across every platform. ChatGPT produced 69 qualified observations in this vertical. Appurity recorded zero mentions. Copilot produced 73 qualified observations. Appurity recorded zero mentions. Gemini produced 80 qualified observations. Appurity recorded zero mentions. Perplexity produced 80 qualified observations. Appurity recorded zero mentions. AI Mode produced 146 qualified observations. Appurity recorded zero mentions. AI Overviews produced 124 qualified observations. Appurity recorded zero mentions.

The benchmark also tracked buyer-intent clusters. The qualified observations all fell into the Brand Recommendation cluster, which captures prompts where buyers ask AI systems to recommend a provider for a need. The Pricing and Value cluster and the Multi-Brand Comparison cluster produced no qualified observations in this measurement period. Appurity's absence from the Brand Recommendation cluster means the company is not being recommended when buyers ask for providers directly.

Biggest Opportunity

Questions This Section Answers

• What is the single biggest opportunity for Appurity in AI recommendation visibility?
• How broad and concentrated is the citation environment AI systems draw on in this category?
• What does the citation distribution suggest about pathways for Appurity to enter AI recommendation sets?

The single biggest opportunity for Appurity is establishing baseline presence in the Brand Recommendation cluster, where AI systems currently recommend competitors without mentioning Appurity at all.

The benchmark shows that AI systems in this vertical draw on a wide information environment rather than a small set of authoritative sources. Across all AI platform responses in October 2026, 6,199 citations were observed across 1,983 unique domains. The ten most-cited domains together accounted for less than 17% of total citations, and no single domain exceeded 3.0% share. No tracked brand's own domain appeared in the top ten.

This citation distribution suggests that AI recommendations in this vertical are not controlled by a small number of gatekeeper sources. The leading cited domains included YouTube, LinkedIn, Wikipedia, Google, Reddit, Glassdoor, Gartner, and ZipRecruiter. The breadth of the citation layer means there may be multiple pathways for Appurity to enter the recommendation sets that AI systems produce.

The opportunity is not to displace Accenture from rank-one positions. It is to become visible enough that AI systems include Appurity in the consideration set when buyers ask for IT and digital transformation providers. The benchmark's qualified observations all asked for provider recommendations. Appurity was not among the providers recommended.

Competitive Landscape

Questions This Section Answers

• Which brands hold the strongest recommendation-stage positions in this category?
• How does Appurity's recommendation performance compare to the tracked competitors?

Accenture holds dominant recommendation-stage strength in the Information Technology and Digital Transformation Services category, with IBM Consulting and Deloitte as the strongest challengers. Appurity is absent from the recommendation sets entirely, recording zero mentions and zero valid recommendations across all 572 qualified observations.

Average recommended rank covers rank-eligible recommendations only.

Appurity's row shows zero top-three placements, zero rank-one recommendations, and no rank-eligible recommendations to calculate an average rank. The company recorded no mentions, so no sentiment score is available. The benchmark data places Appurity alongside Academia and DARE Technology at the bottom of the tracked set, all three recording 0.0% coverage across the full four-month series.

Prompt Evidence

ChatGPT / Brand Recommendation Prompt: "What are the Big 4 IT consulting companies?" Result: AI systems recommended Accenture, IBM Consulting, Deloitte, and other established consultancies. Appurity was not mentioned.

AI Overviews / Brand Recommendation Prompt: "What are the largest IT services companies?" Result: Accenture recorded a 73.4% rank-one rate on AI Overviews across the measurement period. Appurity recorded zero mentions on this platform.

Perplexity / Brand Recommendation Prompt: "Who are some managed service providers?" Result: AI systems produced recommendation shortlists that included multiple tracked brands. Appurity did not appear in any qualified observation.

Gemini / Brand Recommendation Prompt: "it consulting companies" Result: The benchmark recorded 80 qualified observations on Gemini. Appurity recorded zero mentions across all of them.

What CiteWorks Studio Would Do Next

Questions This Section Answers

• What phases would a company-level AI visibility correction plan follow?
• Which specific prompt, content, and citation layers would the plan target?

Phase 1: AI Market Discovery Audit Map the specific prompt types, platforms, and competitor displacement patterns where Appurity should appear but does not, establishing a baseline for recommendation-stage visibility.

Phase 2: Recommendation Readiness Plan Identify the attributes, proof points, and positioning language that AI systems associate with recommended providers in this category, and assess where Appurity's current public evidence layer aligns or falls short.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly addresses the high-intent prompts in the Brand Recommendation cluster, structured for retrieval and synthesis by AI systems.

Phase 4: Citation / Authority Layer Development Build presence across the source types AI systems cite in this vertical, including professional networks, industry research, and community platforms that appear in the benchmark's citation data.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor recommendation coverage, top-three placement, and rank-one rates across all six tracked platforms to measure progress and identify emerging gaps.

Why This Matters

Questions This Section Answers

• Why is being mentioned in AI responses different from being recommended by them?
• How has the category's recommendation shortlist pool changed over the four-month series, and what does that mean for Appurity?

AI presence alone is not enough. The benchmark distinguishes between raw mention presence and valid recommendation coverage. A brand can appear in AI responses without being recommended. But Appurity is not appearing at all.

The benchmark's qualified observations all asked AI systems to recommend an IT or digital transformation provider. In every instance, AI systems recommended other brands. This is not a case of being mentioned but not chosen, or being visible but under-recommended. It is absence from the recommendation layer entirely.

The category itself is expanding. The valid recommendation shortlist share rose 22.6 points from July 2026 to October 2026. AI systems are producing more recommendation shortlists than they were four months ago. The pool of recommendation opportunities is growing. Appurity is not in it.

The next move is targeted correction of the prompt, page, and citation layers. The benchmark identifies where attention is warranted. A company-level analysis is needed to explain why Appurity is absent and what specific changes would establish presence in the recommendation sets that AI systems produce.

Core Metrics

Sentiment Score

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

Appurity recorded zero mentions across all 572 qualified observations. With no mentions, there is no sentiment to calculate. The sentiment score is 0.00 by default, not because Appurity received balanced positive and negative framing, but because there was no framing at all.

This distinction matters. Unclassified mention counts can be misleading. A brand with zero mentions has no share of voice, no recommendation presence, and no framing quality to assess. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. But counting zero mentions as neutral is also misleading.

Classified sentiment is required before interpreting AI visibility. Appurity's zero sentiment score reflects absence, not balance. The benchmark recorded no positive framing, no neutral framing, and no negative framing because it recorded no mentions.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Appurity's AI recommendation visibility in the Information Technology and Digital Transformation Services category. It is not a client implementation case study.
2. The reporting month is October 2026. The benchmark series covers July 2026 through October 2026.
3. The benchmark tracked six AI platforms: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
4. The October 2026 measurement began with 800 prompt-surface observations and 554 unique questions. After qualification, 572 observations remained in the public analysis set.
5. The competitor universe included nine tracked brands: Accenture, IBM Consulting, Deloitte, Capgemini, Cognizant, CDW UK, Academia, Appurity, and DARE Technology.
6. The qualified observations all fell into the Brand Recommendation buyer-intent cluster. The Pricing and Value cluster and the Multi-Brand Comparison cluster produced no qualified observations in this measurement period.
7. Stage 0 extraction retained the query, AI platform, answer, brand outcome, recommendation placement, sentiment, and citations where exposed. Source presence is evidence about the information environment, not proof of causation.
8. A mention is defined as any appearance of the brand in an AI response, regardless of sentiment or recommendation status. Appurity recorded zero mentions.
9. A valid recommendation is defined as a positive, attributable recommendation with rank 1-10 placement. Appurity recorded zero valid recommendations.
10. Brand-level percentages use the 572 qualified observations as the public denominator, not the 800 source prompts collected.
11. The benchmark does not measure market share, attributable sales, organic search ranking, or social mention volume. Causality cannot be established from metric movement alone.
12. Appurity's absence from the qualified set means the benchmark cannot determine whether the brand appears in the wider prompt universe outside the qualified observations, or under what category framing it might appear.

See How AI Is Recommending Your Brand

The public benchmark shows category-level standings. A company-level AI visibility audit maps the specific prompt, platform, competitor, ranking, sentiment, and citation patterns that determine whether your brand appears in AI-generated recommendations. For brands currently absent from the recommendation layer, the audit identifies where presence can be established and what evidence AI systems need to include your brand in the shortlists they produce.