Cooney & Conway AI Visibility Market Strategy Report - Mesothelioma Lawyers

Answer Capsule

Cooney & Conway holds a narrow but real recommendation pocket in the October 2026 mesothelioma lawyer AI benchmark, with 13.37% valid recommendation coverage across 187 qualified observations. The firm is visible in 13.37% of qualified observations and converts nearly all of that presence into valid recommendations, which separates it from brands that appear without being chosen. Its clearest win is placement quality: an 11.76% top-three rate and a 2.4 average recommended rank, both stronger than its overall coverage position implies. Its clearest weakness is scale, since Simmons Hanly Conroy leads at 71.1% coverage and the category's second position sits near 21%. The clearest opportunity is expanding presence in the Brand Recommendation cluster, where all qualified October observations currently sit.

Who This Report Is For

This report is written for Cooney & Conway's marketing and business development leadership, and for category analysts tracking how AI systems recommend mesothelioma law firms at the discovery and consideration stage.

Report Card

Executive Summary

Cooney & Conway recorded 13.37% valid recommendation coverage in October 2026, up 2.1 points from 11.3% in September 2026 and 3.4 points below its 16.8% July 2026 baseline. The firm sits fourth in the category by coverage, behind Simmons Hanly Conroy at 71.1%, Weitzlux at 21.4%, and Sokolove Law at 20.9%.

The firm's mention profile is unusually clean. Across 187 qualified observations, Cooney & Conway recorded 25 present mentions, all 25 classified as positive, with zero neutral and zero negative mentions. That produces a net sentiment score of 1.0000, the strongest reading in the tracked set alongside Belluck & Fox, Galiher DeRobertis, and Goldberg Persky White.

Placement quality is the firm's strongest signal. Cooney & Conway posted an 11.76% top-three rate and a 3.74% rank-one rate in October 2026, both improved against its July 2026 baseline of 8.6% and 1.3%. Its 2.4 average recommended rank is the third strongest in the category, behind Simmons Hanly Conroy at 1.68 and near Goldberg Persky White at 2.0, and ahead of Sokolove Law at 2.79.

The clearest platform signal is Perplexity, where Cooney & Conway recorded a 60.00% valid recommendation coverage rate and a 20.00% rank-one rate across a small observation base. Google AI Overviews carried the largest absolute volume of recommendations for the firm, with 12 valid recommendations across 92 observations.

The clearest gap is scale and platform breadth. Cooney & Conway recorded zero mentions on ChatGPT in the October packet, and its Copilot presence was limited to two mentions with no top-three placements. The firm's coverage is concentrated in Google AI Overviews, Google AI Mode, and Perplexity, while the category leader appears across all six tracked surfaces.

All 187 qualified October observations fell into the Brand Recommendation cluster. The Pricing and Value and Multi-Brand Comparison clusters recorded no qualified observations, which the benchmark has now shown across four consecutive months. The public benchmark cannot yet speak to how AI systems frame cost, fee arrangements, or head-to-head firm comparisons in this vertical.

One high-severity factual inconsistency was detected for Cooney & Conway across two AI platforms. Google AI Mode stated the firm recovered over $7 billion, while Copilot stated the firm recovered $3+ billion, in response to the same question about the best mesothelioma law firm.

What Cooney & Conway Is Winning

Questions This Section Answers

• How does Cooney & Conway convert its smaller coverage footprint into top-three and rank-one placements?
• What does the firm's sentiment profile look like compared to competitors with neutral or cautionary mentions?
• Which platform produced the firm's strongest recommendation coverage rate?

Cooney & Conway's strongest evidence-backed win is placement quality relative to coverage. The firm converts a higher share of its appearances into top-three and rank-one positions than several competitors with similar or larger coverage footprints. Its 11.76% top-three rate exceeds Sokolove Law's 13.90% top-three rate despite Sokolove Law holding 20.9% coverage, and its 3.74% rank-one rate sits close to Sokolove Law's 4.28% on a far larger coverage base.

The firm's second win is sentiment cleanliness. With 25 positive mentions and zero neutral or negative mentions, Cooney & Conway carries no cautionary or comparison-anchor framing in the October packet. That is a meaningful signal in a category where Sokolove Law recorded 22 neutral mentions and Shrader & Associates recorded 8 neutral mentions.

The third win is Perplexity performance. Cooney & Conway recorded a 60.00% valid recommendation coverage rate on Perplexity, the highest platform-level coverage rate for the firm and well above its 13.37% overall rate. This is a narrow but meaningful recommendation pocket.

Where Cooney & Conway Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Which platforms show the firm's weakest or absent AI recommendation presence?
• How does Cooney & Conway's coverage compare to the category leader and other tracked firms?
• What does the firm's concentration in a single cluster mean for its visibility on cost and comparison prompts?

Cooney & Conway is present but under-scaled relative to the category leader. Simmons Hanly Conroy holds 71.1% valid recommendation coverage, 66.31% top-three rate, and 45.45% rank-one rate. Cooney & Conway holds 13.37%, 11.76%, and 3.74% respectively. The gap is not a conversion problem, since the firm converts nearly all of its presence into recommendations. The gap is a presence problem.

The firm is absent from ChatGPT in the October packet. Across 6 ChatGPT observations, Cooney & Conway recorded zero mentions, zero valid recommendations, and zero top-three placements. Simmons Hanly Conroy recorded a 50.00% valid recommendation coverage rate on the same platform, and Shrader & Associates recorded a 16.67% rank-one rate. ChatGPT is a visible gap for the firm.

Copilot is a second gap. Cooney & Conway recorded two mentions across 12 Copilot observations, producing a 16.67% valid recommendation coverage rate but zero top-three placements and a 3.0 average recommended rank. Weitzlux recorded a 25.00% top-three rate and a 16.67% rank-one rate on the same platform.

Gemini is a third gap. Cooney & Conway recorded a 10.00% valid recommendation coverage rate on Gemini with zero top-three placements and a 4.5 average recommended rank. Sokolove Law recorded a 15.00% top-three rate and a 5.00% rank-one rate on the same platform.

The firm's coverage is also concentrated in a single cluster. All 187 qualified October observations fell into the Brand Recommendation cluster. The Pricing and Value and Multi-Brand Comparison clusters recorded no qualified observations, so the benchmark cannot yet show whether Cooney & Conway is competitive on cost framing or head-to-head comparison prompts.

Biggest Opportunity

Questions This Section Answers

• Which platforms offer the clearest opening to expand Cooney & Conway's recommendation presence?
• What pattern in the firm's existing performance suggests it can convert new presence into top-three placements?

The clearest opportunity for Cooney & Conway is expanding its presence in the Brand Recommendation cluster on ChatGPT and Copilot, where the firm currently records zero and two mentions respectively. These are the two platforms where the firm's placement quality is weakest or absent, and both carry recommendation-shaped answers in the October packet. The firm's existing strength on Perplexity and Google AI Overviews shows it can convert presence into top-three placements when it appears. The opportunity is to appear more often on the platforms where it currently does not.

Competitive Landscape

Questions This Section Answers

• Where does Cooney & Conway sit in recommendation coverage relative to its tracked competitors?
• Which firms form the top tier in the mesothelioma lawyer AI recommendations, and how large is the gap to the middle tier?
• How does Cooney & Conway's average recommended rank compare to firms with higher coverage?

Simmons Hanly Conroy holds dominant recommendation-stage strength in the mesothelioma lawyer category, with Weitzlux and Sokolove Law forming a distant second tier. Cooney & Conway sits in the middle of the tracked set, ahead of Shrader & Associates, Kazan McClain, Nemeroff Law, Belluck & Fox, Galiher DeRobertis, and Goldberg Persky White on coverage, but well behind the top three.

Average recommended rank covers rank-eligible recommendations only.

Cooney & Conway ranks fourth on top-three rate and fourth on rank-one rate, with a 2.4 average recommended rank that is stronger than Sokolove Law's 2.79 despite Sokolove Law holding higher coverage. The table shows the firm is a placement-efficient mid-tier brand rather than a coverage leader.

AI Response Inconsistency Alerts

Questions This Section Answers

• Which platforms gave conflicting figures about Cooney & Conway's total recovered amount, and what sources did each cite?
• What does the split between the firm's own site and third-party ranking pages suggest about how the recovery figure inconsistency arose?

One high-severity factual inconsistency was detected for Cooney & Conway across two AI platforms, Copilot and Google AI Mode.

When asked "What is the best mesothelioma law firm?", Google AI Mode stated that Cooney & Conway recovered over $7 billion, citing the firm's own site at cooneyconway.com and its mesothelioma lawyer page, along with asbestos.com and simmonsfirm.com. Copilot stated that the firm recovered $3+ billion, citing third-party ranking pages including injurylegaltips.com, lawandfinancejournal.blogspot.com, and health.infolabmed.com. The two claims cannot both be accurate, and the conflict sits adjacent to how the firm's credentials are described rather than where it is ranked.

The flagged sources on the higher figure side include the firm's own site and asbestos.com, both showing the "$7 Billion Recovered" figure. The lower figure side relies on third-party ranking and directory pages. This pattern suggests the firm's own public evidence layer carries one figure while some third-party aggregators carry another, and AI systems are retrieving both.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "What is the best mesothelioma law firm?" Result: Google AI Mode recommended Cooney & Conway and cited the firm's own site and asbestos.com, stating the firm recovered over $7 billion.

Copilot / Brand Recommendation Prompt: "What is the best mesothelioma law firm?" Result: Copilot recommended Cooney & Conway but stated the firm recovered $3+ billion, citing third-party ranking pages rather than the firm's own site.

Perplexity / Brand Recommendation Prompt: "mesothelioma attorney" Result: Cooney & Conway recorded a valid recommendation with a top-three placement, contributing to its 60.00% Perplexity coverage rate.

Google AI Overviews / Brand Recommendation Prompt: "best mesothelioma lawyers near me" Result: Cooney & Conway appeared in the recommendation set with a top-three placement, contributing to its 12 valid recommendations on Google AI Overviews.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every prompt where Cooney & Conway appears, where it is recommended, and where it is absent, with platform-level breakdowns across ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.

Phase 2: Recommendation Readiness Plan Prioritize the ChatGPT and Copilot gaps, where the firm currently records zero and two mentions, and define the prompt types and answer formats most likely to convert presence into top-three placements.

Phase 3: Owned Answer Layer Buildout Strengthen the firm's own pages so the $7 billion recovery figure and other credentials are stated consistently and are easy for AI systems to retrieve and cite.

Phase 4: Citation and Authority Layer Development Address the third-party ranking pages that carry the lower recovery figure, and build a consistent public evidence layer across the firm's own site and the sources AI systems cite most often.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track coverage, top-three rate, rank-one rate, and sentiment by platform each month, with the ChatGPT and Copilot gaps as the primary watch items.

Why This Matters

Cooney & Conway's October 2026 position shows that presence alone is not the constraint. The firm converts nearly all of its appearances into valid recommendations, and its placement quality is stronger than its coverage rank suggests. The constraint is that the firm appears in a smaller share of qualified observations than the category leader, and it is absent from ChatGPT entirely.

The next move is targeted correction of the prompt, page, and citation layers. The firm's own site carries one recovery figure while third-party pages carry another, and AI systems are retrieving both. Correcting that inconsistency and expanding presence on ChatGPT and Copilot are the two highest-leverage actions the October data supports.

Core Metrics

Sentiment Score

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

For Cooney & Conway in October 2026, the calculation is (25 × 1 + 0 × 0 + 0 × -1) / 25 = 1.0000.

This matters because unclassified mention counts are misleading. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal, and counting all mentions as wins is bad measurement. Share of voice is a diagnostic metric, not a business KPI. Cooney & Conway's 1.0000 sentiment score reflects that every one of its 25 mentions in the October packet was classified as positive, with no neutral or negative framing. That is a clean reading, but it should be interpreted alongside the firm's coverage rate, since a small number of highly positive mentions is a different signal than a large number of mixed mentions.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Cooney & Conway's AI recommendation visibility in the mesothelioma lawyer category for October 2026. It is not a client result and does not imply that any remediation work caused the observed outcomes.
2. The reporting window is October 2026, with July 2026 as the baseline comparison month and August 2026 and September 2026 referenced for intermediate context.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six carried at least one qualified observation in October 2026.
4. The October 2026 collection began with 340 source prompt-surface observations and 288 unique questions. Of those, 335 mentioned a tracked brand or competitor, 221 were relevant, 114 were irrelevant, and 187 qualified for the public benchmark.
5. Ten companies were tracked: Simmons Hanly Conroy, Belluck & Fox, Cooney & Conway, Galiher DeRobertis, Goldberg Persky White, Kazan McClain, Nemeroff Law, Shrader & Associates, Sokolove Law, and Weitzlux.
6. Three public clusters were defined: Best Mesothelioma Lawyers and Top Asbestos Attorneys, Mesothelioma Lawyer Comparisons and Firm Evaluations, and Mesothelioma Lawyer Fees, Compensation and Settlement Costs. Only the Best Mesothelioma Lawyers and Top Asbestos Attorneys cluster carried qualified observations in October 2026. The public benchmark version does not expose the internal cluster codes, so cluster labels are reported by name.
7. Stage 0 extraction retained the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed. Source presence is evidence about the information environment and is not automatically proof that a source caused a recommendation.
8. A mention is any appearance of a tracked brand in a qualified observation, regardless of whether the brand was recommended.
9. A valid recommendation is a clear recommendation of the brand in a qualified observation. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations unless the dataset explicitly marks them as such.
10. Brand-level percentages use the 187 qualified observations as the public denominator, not the raw collection of 340.
11. The benchmark records Weitz & Luxenberg and Weitzlux as separate tracked entities in October 2026. Their series should not be treated as interchangeable without company-level entity verification.
12. Small observation counts apply to several brands. Galiher DeRobertis and Goldberg Persky White each rest on 3 valid recommendations in October 2026, and Belluck & Fox on 7. Single prompts carry substantial weight at that scale. Cooney & Conway's 25 valid recommendations sit above that small-sample threshold but remain well below the category leader's 133.

See How AI Is Recommending Your Brand

The public benchmark shows where Cooney & Conway is winning and losing in AI recommendations. A company-level AI visibility audit maps the prompt, platform, competitor, ranking, sentiment, and evidence-source patterns behind those numbers into a prioritized strategy. Where the benchmark shows the score, a company-level audit shows the drivers.