Research · AI SDR Published June 2026 · 9 min read · Measured by Vincent Wesley Couey · data snapshot 2026-06-07

AI Visibility Leaderboard: Who ChatGPT Actually Recommends in AI SDR (2026)

Q: How do I get my AI SDR tool recommended by ChatGPT?

Our citation data shows that roughly 4 in 5 Perplexity citations point to third-party pages (roundups, listicles, comparison aggregators, forums) rather than the vendor's own site. The highest-leverage path is: (1) earn coverage on high-citation domains like Reddit, Zapier, G2, and YouTube; (2) ensure structured data and 2026 freshness signals on your own pages; (3) build authoritative third-party mentions on trusted domains. Our methodology page has the full citation-source breakdown.

What is the Answer-Engine Consensus Index and why does it matter?

Most "best AI SDR tool" articles are editorial opinions. This one is not. The Answer-Engine Consensus Index (AECI) is a measured, dated, reproducible score of what AI answer engines actually output for a given category query, built from logged runs across ChatGPT (GPT-5.x, web-search enabled), Perplexity (default web search), and Google AI Overviews.

Why this matters to a revenue team: when a prospect asks an AI assistant which tool to buy, the engine's answer is the recommendation your buyer sees before they visit any vendor's site. If your brand is absent, you are invisible at the moment of intent. If a competitor leads on 2-of-3 engines, they are capturing that attention by default. This leaderboard makes that competitive map legible. The methodology is published at lucreya.com/research/ai-gtm-tools-2026/ and the full dataset is released CC-BY 4.0 for independent reproduction.

AI answers captured across 3 engines, 20 queries

162

Perplexity citations logged and domain-classified

2-of-3

engine agreement for 11x.ai on AI SDR queries

75%

of Perplexity answers cite Reddit; ~80% of citations point off-vendor

Observed in our 2026-06-07 measurement run. AI answers are volatile; re-run the published protocol to reproduce. Snapshot: 2026-06-07

The AI SDR Leaderboard: Answer-Engine Consensus Index (June 2026)

The table below is built from raw logged data, not editorial ranking. Share of Voice (SoV) is the fraction of AI SDR-related query runs on which a tool was named by that engine. Agreement flags show which engines named the tool among their top recommendations. All figures are from our 2026-06-07 snapshot; see the full dataset for the per-query rows and source URLs.

Answer-Engine Consensus Index: AI SDR (2026)

Category queries: L4 (best AI SDR tool 2026), L7 (AI tools to replace an SDR) · Snapshot: 2026-06-07 · Dataset: CC-BY 4.0 · Source: lucreya.com/research/ai-gtm-tools-2026/

#	Tool	Engines naming it top	SoV (AI SDR queries)	2-of-3 agreement	Flag
1	11x.ai	ChatGPT AIO*	100% ChatGPT 50% Perplexity (2nd)	Yes (2-of-3)	Consensus Due diligence
2	AiSDR	Perplexity	100% Perplexity (1st) Absent ChatGPT/AIO top	No (1-of-3)	Perplexity only
3	Artisan	Perplexity AIO*	Named in both AI SDR queries (Perplexity + AIO)	Partial (2 queries)	No ChatGPT top slot
4	Apollo.io	ChatGPT	Named by ChatGPT; absent Perplexity AI SDR top	No	ChatGPT extended
4	Autobound	Perplexity	Perplexity secondary; absent ChatGPT AI SDR list	No	Perplexity only
5	Clay	ChatGPT	Named by ChatGPT for SDR replacement; consensus winner for enrichment	No	ChatGPT SDR context
5	Reply.io / Amplemarket	Neither top	Secondary mentions across queries; absent from top slots	No	Named but not top

* AIO = Google AI Overviews. 11x was named on an earlier probe; the overview did not trigger on our timed re-run for "best AI SDR tool 2026" (trigger volatility). AiSDR led Perplexity on both AI SDR category queries (L4, L7). Data: lucreya.com/research/ai-gtm-tools-2026/. Snapshot: 2026-06-07 Review: July 2026

Where do the engines disagree, and why does it matter?

The AI SDR category has a meaningful divergence signal: Perplexity does not follow the ChatGPT-led consensus. In our runs, Perplexity named AiSDR top on the primary category query (L4: "best AI SDR tool 2026") and named 11x as Alice in its "AI tools to replace an SDR" answer. That is not a tie; it is a documented split on who owns the category label.

Why Perplexity diverges: Perplexity cites third-party pages (listicles, comparison posts, forum threads) more heavily than ChatGPT does. In our full dataset, roughly 4 in 5 Perplexity citations pointed to third-party review pages rather than the vendor's own site, with Reddit appearing in 75% of Perplexity answers across the full 20-query run. A vendor that earns coverage on those citation-dominant domains shifts Perplexity rankings independently of what ChatGPT surfaces. AiSDR's Perplexity lead is almost certainly a citation-source effect, not a product-quality divergence.

The practical read for a buying committee: if your team runs its research on Perplexity (common in technical and growth orgs), the shortlist it surfaces will look different from what ChatGPT returns. Cross-engine divergence is a buying-research risk that almost no vendor comparison article flags.

Is the consensus winner actually the best tool? The 11x data gap

Engine visibility and product merit can diverge sharply, and the AI SDR category is the sharpest example in our 20-query dataset.

11x.ai holds the 2-of-3 consensus and is the engine-visibility leader in this leaderboard. It also carries documented due-diligence flags that any buying committee should evaluate before purchase. TechCrunch reported in March 2025 that 11x had listed ZoomInfo and Airtable as customer logos; ZoomInfo demanded the logo be removed after a one-month trial it said performed significantly worse than its human SDRs, and Airtable confirmed it was never a customer.¹ Of the roughly $14 million in reported ARR, only around $3 million survived past 90-day break clauses, a gap of approximately 78%. Sources cited 70 to 80 percent customer churn. Founder Hasan Sukkar stepped down as CEO in May 2025.

We surface this not to disqualify 11x from consideration, but because a leaderboard that ranks on engine visibility without flagging known material facts would be no better than the opinion roundups it is replacing. The AI engines recommending 11x do not have access to the TechCrunch reporting; their recommendation reflects citation-source patterns, not product performance data. That gap is the point of building this index.

📊 Want the full AECI data pack for AI SDR? Per-query engine outputs, source URLs, and the citation-domain breakdown so you can audit your own brand against the leaderboard. We will email it.

What does the citation data say about how to get recommended?

Getting named by an AI engine is not primarily about your own site. Our full-dataset citation analysis across 162 logged Perplexity sources shows the source-type distribution that feeds these recommendations:

Approximately 58% of citations point to third-party review pages, roundup listicles, and comparison articles, not the vendor's own site.
Approximately 20% point to vendor first-party pages.
Approximately 16% point to forum or user-generated content (Reddit, YouTube, LinkedIn).
Approximately 6% point to comparison aggregators such as G2 or TrustRadius.

Reddit appeared in 75% of all Perplexity answers across our 20-query run, the single most-cited domain. The next most-cited were zapier.com (30% of queries) and youtube.com (25%). Beyond those three, citations spread across 100-plus distinct domains, most appearing in only one query.

The implication is direct: a vendor that wants to move up this leaderboard needs third-party coverage on high-citation domains more than it needs to optimize its own product page. The closest structural exemplar we coded was zapier.com's comparison post format: structured, priced, schema-marked, freshness-dated in 2026, approximately 2,600 words. That is the citation archetype the engines are rewarding. The full citation-source breakdown is in our methodology narrative.

For vendors absent from this leaderboard: the displacement path is not buying more ads. It is earning the citation-type content that the engines are already trained to surface. Nesyona's broad AI tools index and our how-to-rank-in-AI-answers playbook map the operational steps.

Why Google AI Overviews did not trigger on the AI SDR query

In our 2026-06-07 run, Google AI Overviews rendered on 19 of 20 queries across the full dataset, a 95% trigger rate. The one miss was "best AI SDR tool 2026." That same query had shown an AI Overview on an earlier probe, which is why we flag it as trigger volatility rather than as a permanent absence.

The operational consequence: any brand tracking AI visibility on this category query will see fluctuating AIO presence. A measurement taken on one day is not a reliable proxy for the query's AIO behavior over time. Any GEO tool you use to track this category should sample repeatedly, not snapshot once, and the protocol behind this leaderboard is designed with that caveat built in.

Measurement protocol

Snapshot date: 2026-06-07
Queries (AI SDR): L4: "best AI SDR tool 2026"; L7: "AI tools to replace an SDR"
Engines: ChatGPT (GPT-5.x, web-search enabled); Perplexity (default web search); Google AI Overviews (default Google Search)
What was logged: Tools named/recommended in order per engine; for Perplexity, full cited source URLs (162 citations across 20 queries). ChatGPT and Google AIO citation lists not captured at Perplexity fidelity; disclosed.
SoV computation: Share of Voice = count of AI SDR queries on which a tool appeared in the engine's named list, divided by total AI SDR queries per engine. Consensus = named top by 2-of-3 engines across the query set.
Honesty flags: AI answers are volatile. Perplexity AIO triggers sampled; AIO miss on "best AI SDR tool 2026" noted. 11x due-diligence flag sourced to TechCrunch (March 2025).
Dataset license: CC-BY 4.0. Full data at lucreya.com/research/ai-gtm-tools-2026/. DOI to be minted; sameAs will be updated on issuance.
Independence: No vendor paid for placement. Rankings locked before any monetization check.
Reviewed by: Vincent Wesley Couey, Lucreya founder.
Last verified: June 10, 2026. Next review: July 2026

Frequently asked questions

Who does ChatGPT recommend for AI SDR in 2026?

In our June 2026 measurement, ChatGPT named 11x.ai as its top pick for AI SDR, also listing Apollo.io, Clay, and Reply.io. Perplexity dissented, naming AiSDR as its top choice with 11x second. Google AI Overviews confirmed 11x on an earlier probe but did not trigger on our timed re-run, illustrating AI Overview trigger volatility. The 2-of-3 consensus winner is 11x, but the category is more contested than a single label suggests. Observed in our 2026-06-07 snapshot.

What is the Answer-Engine Consensus Index (AECI)?

The AECI is a measured, dated, reproducible score of what AI answer engines (ChatGPT, Perplexity, Google AI Overviews) actually output for a given category query. It ranks vendors by how often the engines name them across multiple queries, not by editorial opinion. The full dataset is published CC-BY at lucreya.com/research/ai-gtm-tools-2026/ for independent reproduction.

Why does Perplexity recommend AiSDR instead of 11x?

In our June 2026 runs, Perplexity returned AiSDR as its top pick for "best AI SDR tool 2026" and named 11x as Alice in the related "AI tools to replace an SDR" query. This appears to reflect citation-source influence: Perplexity cites third-party pages (review posts, listicles, forum threads) that ranked AiSDR highly at the time of the snapshot. The answer is volatile and will shift as citation sources update.

Is 11x actually the best AI SDR tool?

This leaderboard measures engine visibility, not product quality. On product quality: TechCrunch reported in March 2025 that 11x listed non-customers as logos, that roughly 78% of reported ARR did not survive 90-day break clauses, and that founder Hasan Sukkar stepped down as CEO in May 2025. Engine visibility and product merit can diverge sharply; verify current claims before purchasing.

How do I get my AI SDR tool recommended by ChatGPT?

Our citation data shows roughly 4 in 5 Perplexity citations point to third-party pages (roundups, listicles, comparison aggregators, forums) rather than the vendor's own site. The highest-leverage path: earn coverage on high-citation domains like Reddit, Zapier, G2, and YouTube; ensure structured data and 2026 freshness signals on your own pages; build authoritative third-party mentions. Our methodology page has the full citation-source breakdown.

Bottom line

The AI SDR engine consensus in June 2026 is 11x.ai, named by 2-of-3 engines, with Perplexity dissenting to AiSDR. Google AI Overviews showed trigger volatility on the exact category query. The consensus winner carries documented product-level due-diligence flags from TechCrunch reporting that the AI engines do not factor in. A buying committee that runs its research on a single AI engine is not getting the full picture. Run the query on all three, check the citation sources behind the recommendations, and verify current vendor claims independently before committing budget.

The full methodology narrative with divergence analysis across all 20 GTM queries lives in which AI tools ChatGPT recommends for GTM. Product-quality evaluation of AI SDR tools is in our best AI SDR tools guide. For GEO visibility tracking tools (who tracks whether YOUR brand gets recommended), see best GEO tools and the Profound vs Otterly comparison.

TechCrunch (2025-03-24): "A16z and Benchmark-backed 11x has been claiming customers it doesn't have". Reports ZoomInfo logo removal, ~$3M of $14M ARR surviving past 90-day break clauses, and Hasan Sukkar stepping down as CEO May 2025.
Lucreya (2026-06-07): "Who AI Recommends: GTM Tool and Source Citations Across ChatGPT, Perplexity, and Google AI Overviews". 20 queries x 3 engines = 60 AI answers; 162 Perplexity citations logged. CC-BY 4.0.
Lucreya (2026): "Which AI Tools Does ChatGPT Actually Recommend for GTM?". Methodology narrative, cross-category divergence, and citation-source analysis for the full 20-query dataset.
Otterly.AI pricing (verified June 2026). Referenced for GEO tracking context.
Profound product and pricing (verified June 2026). Referenced for GEO tracking context.
Zapier (2026): "Jasper vs Copy.ai". Coded as the structural citation archetype: Article + BreadcrumbList schema, comparison table, pricing, 2026 freshness, ~2,600 words. Single most-cited citation-type domain in the dataset beyond Reddit.