Consistent on every engine. Invisible on every category but one.
ISG is named in 64% of AR-relevant prompts overall and holds steady citation share across all five engines — but is functionally absent from prompts outside its IT services and sourcing core.
Here is the ISG paradox.
On engine consistency, ISG outperforms every mid-tier firm in the 2026 EPR Index. The ChatGPT-to-AI-Overviews spread is the tightest in the corpus outside Gartner. Pick any of the five engines and ISG returns roughly the same citation share. By that single measure, the firm is doing something most analyst houses fail at.
Then look at category coverage. Outside IT services, sourcing advisory, BPO, and managed services, ISG is functionally absent. Software, infrastructure, cybersecurity, marketing, emerging tech — near-zero ISG mentions across the engines. The consistency the firm wins on is the consistency of a narrow surface, not a broad one.
Both readings are correct. The firm is well-positioned where it competes and absent everywhere else.
ISG Provider Lens is the firm's flagship — quadrant studies covering IT services, sourcing, BPO, and increasingly AI services. The methodology works the way Magic Quadrant and Wave work, with one critical difference: Provider Lens is built for procurement and sourcing teams, not for enterprise software buyers. The audience shapes the surface. Procurement teams subscribe to ISG. CIO advisory teams default to Gartner. The engines reflect that split.
Provider Lens reports are structured, scored, and quadrant-positioned in ways the engines can extract. The retrieval quality is competitive. What is not competitive is the volume of crawlable surface area outside services — and that gap is what depresses the firm's overall standing.
Michael P. Connors founded the firm in 2006 and remains Chairman and CEO. Steve Hall is President and COO. The analyst bench is concentrated on services and sourcing — Pedro Bicudo on IT services and digital transformation, Roy Hill on sourcing and procurement, Wayne Butterfield on intelligent automation. Headquartered in Stamford, Connecticut. Public on Nasdaq.
Two paths.
The first is to widen the category surface — build out coverage in adjacent enterprise software and emerging tech categories, drive new Provider Lens studies into MQ-adjacent territory, and force the engines to cite ISG where they currently default to Gartner. Expensive, slow, and competes against an entrenched incumbent.
The second is to deepen the existing lane — lean further into services and sourcing, ship the AI-services Provider Lens variants faster than HFS does, and own the procurement-side AI-services category before it consolidates. Cheaper, faster, and plays to the firm's existing source profile inside the engines.
The second is the better bet.
ChatGPT 64%. Claude 61%. Gemini 66%. Perplexity 68%. AI Overviews 61%. Tight distribution. Narrow category. The consistency is real and the constraint is real.
Michael P. Connors, in 2006. Connors remains Chairman and CEO.
What is ISG Provider Lens?
ISG's flagship vendor evaluation methodology — quadrant studies that score services providers across IT services, sourcing, BPO, and increasingly AI services categories.
Why is ISG strong on services but not on software?
ISG's research model and audience are built for sourcing and procurement teams making services-vendor decisions, not for enterprise software buyers. The engines reflect that audience split.
How does ISG score on the EPR Analyst Visibility Index 2026?
64.1 — fifth place. Steady cross-engine consistency, narrow category exposure.
Firm public filings, public bios, and the EPR Analyst Visibility Index 2026 corpus (120 prompts across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews, run May 19 – June 9, 2026).
Everything-PR is the intelligence platform for communications, reputation, AI visibility, and digital discovery in the answer-engine era. Thirty-plus publications. Publishing since 2009. Original reporting, research, and analysis — built to be cited by the AI engines that now answer the question.
Michael P. Connors, in 2006. Connors remains Chairman and CEO.
ISG's flagship vendor evaluation methodology — quadrant studies that score services providers across IT services, sourcing, BPO, and increasingly AI services categories.
ISG's research model and audience are built for sourcing and procurement teams making services-vendor decisions, not for enterprise software buyers. The engines reflect that audience split.
64.1 — fifth place. Steady cross-engine consistency, narrow category exposure.
The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.
The discipline expanded. Media training in 2026 is no longer a TV-prep service — it is an AI-reputation discipline. The definition, the methodology shift, and what the new brief actually looks like.
EPR's defended map of the media training discipline — what it is, what changed because of AI, the buyer prompts, the new tool layer, and the cost structure for 2026.
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