CiteWorks Studio

FINN Partners AI Market Strategy Report - PR Management Agencies

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • FINN Partners held 14.9% valid recommendation coverage in September 2026, down from 34.8% in July, marking the largest decline in the tracked set.
  • The main issue was reduced visibility across AI answers, with raw mention presence falling from 45.2% to 22.5%, rather than weaker placement within answers.
  • When FINN Partners was recommended, it performed well in top-three placements at 5.4%, but converted to rank-one only 0.4% of the time.
  • Recommendation strength was concentrated on Google AI Mode and AI Overviews, while ChatGPT, Copilot, Gemini, and Perplexity contributed limited coverage.

Answer Capsule

FINN Partners is the third most recommended PR management agency in the September 2026 LLM Authority Index benchmark, with valid recommendation coverage of 14.9% across 276 qualified observations. The brand remains highly visible at a 22.5% raw mention presence rate, but it is no longer the category leader it was in July 2026, when coverage stood at 34.8%. The clearest win is top-three placement strength at 5.4%, the highest among the leading brands. The clearest weakness is rank-one conversion at 0.4%, nearly four times lower than Highwire at 1.5%. The clearest opportunity is converting broad presence into first-position recommendations inside the Brand Recommendation cluster.

Who This Report Is For

This report is written for FINN Partners leadership, marketing and communications decision-makers, and category analysts tracking how PR management agencies are recommended across AI and search surfaces.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

FINN Partners

Category / market studied

PR Management Agencies

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

1 qualified (Brand Recommendation)

AI observations analyzed

276 qualified observations from 639 collected prompts

Competitors tracked

10

Executive Summary

FINN Partners holds 14.9% valid recommendation coverage in September 2026, down 19.9 percentage points from 34.8% in July 2026. That is the largest cumulative decline in the category and the movement is significant. The brand recorded 41 valid recommendations in September, down from 97 in July.

The decline is a presence problem, not a displacement problem. FINN Partners' raw mention presence rate fell from 45.2% in July to 22.5% in September, a 22.7-point drop. The brand is appearing in fewer AI answers overall rather than being pushed down within answers it already appears in.

Placement signals remain comparatively strong. FINN Partners holds a top-three rate of 5.4%, the highest among the leading brands by coverage, ahead of Real Chemistry at 6.2% in a broader field and ahead of Highwire at 3.6%. Its average recommended rank of 4.11 is competitive with Walker Sands at 4.09.

Rank-one conversion is the sharpest gap. FINN Partners records a rank-one rate of 0.4%, compared with Highwire at 1.5% and Real Chemistry at 4.7%. The brand is being shortlisted but rarely named first.

Platform signals are concentrated. AI Mode carries the strongest recommendation behavior for FINN Partners, with 19 valid recommendations and a 37.3% valid recommendation coverage rate on that surface. AI Overviews adds 15 valid recommendations at 13.3% coverage. ChatGPT, Copilot, Gemini, and Perplexity contribute materially less.

Sentiment framing is positive. FINN Partners records 57 positive mentions, 5 neutral mentions, and 0 negative mentions, producing a net sentiment score of 0.92. The brand is not being framed negatively; it is being framed less often.

The category context matters. Recommendation-shaped answer share across the benchmark fell from 38.4% in July to 27.9% in September, and valid recommendation shortlist share fell from 59.1% to 40.6%. FINN Partners declined inside a contracting category, but its decline was steeper than the category contraction alone.

What FINN Partners Is Winning

Questions This Section Answers

  • Where does FINN Partners outperform competitors in AI-recommended placements?
  • Which platform produces the strongest recommendation behavior for FINN Partners?
  • How does FINN Partners' sentiment compare to the leading brands?

FINN Partners holds the highest top-three recommendation rate among the leading brands by coverage. At 5.4% in September 2026, it sits ahead of Highwire at 3.6% and Walker Sands at 4.7%, meaning that when the brand is shortlisted, it tends to land near the top of the list.

The brand also holds the strongest AI Mode position in the category. On Google AI Mode, FINN Partners records 19 valid recommendations and a 37.3% valid recommendation coverage rate, the highest single-platform coverage figure for the brand and one of the strongest in the tracked set.

Sentiment framing is clean. With 57 positive mentions, 5 neutral mentions, and 0 negative mentions, FINN Partners records a net sentiment score of 0.92. No competitor in the tracked set is framed negatively, but FINN Partners sits near the top of the positive framing band alongside Highwire at 0.95 and Walker Sands at 0.94.

The brand also retains third place in a tightly packed field. At 14.9%, FINN Partners sits within 1.8 points of the leader, Highwire at 16.7%, and within 1.0 point of Walker Sands at 15.9%.

Where FINN Partners Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why is FINN Partners being shortlisted but rarely named first?
  • Which AI platforms contribute the least to FINN Partners' recommendation coverage?
  • What does the absence of Pricing & Value and Multi-Brand Comparison data mean for the benchmark?

The clearest gap is rank-one conversion. FINN Partners records a rank-one rate of 0.4% in September 2026, down from 0.7% in July. Highwire holds 1.5% and Real Chemistry holds 4.7%. The brand is being shortlisted at a competitive rate but is rarely the first agency named.

The second gap is presence loss. FINN Partners' raw mention presence rate fell from 45.2% in July to 22.5% in September. That 22.7-point decline is the largest presence drop in the tracked set and indicates the brand is appearing in fewer AI answers overall, not simply being displaced within answers.

The third gap is platform concentration. AI Mode and AI Overviews carry the brand's recommendation weight. ChatGPT contributes 3 valid recommendations at 8.6% coverage, Copilot contributes 1 at 4.8%, Gemini contributes 1 at 2.6%, and Perplexity contributes 2 at 11.8%. The brand has thin coverage on conversational surfaces where buyers often begin discovery.

The fourth gap is cluster coverage. All 276 qualified observations in September fell into the Brand Recommendation class. The Pricing & Value and Multi-Brand Comparison classes recorded zero qualified observations, so the benchmark cannot yet show how FINN Partners performs when buyers ask AI systems to compare agencies head to head or assess value.

Competitively, Real Chemistry holds the strongest rank-one position at 4.7% and the highest top-three rate at 6.2%. Walker Sands converts a moderate 17.8% presence rate into 15.9% coverage, a more efficient presence-to-recommendation ratio than FINN Partners' 22.5% presence to 14.9% coverage.

Biggest Opportunity

Questions This Section Answers

  • What would closing the rank-one gap mean for FINN Partners' position in AI recommendations?

The single biggest opportunity is converting FINN Partners' top-three placement strength into rank-one recommendations inside the Brand Recommendation cluster. The brand already earns 15 top-three placements in September 2026, the highest count among the leading brands, but converts only 1 of those into a first-position recommendation. Closing even part of that gap would move the brand from a shortlist presence to a default first answer, which is where buyer shortlists are most often formed.

Competitive Landscape

Questions This Section Answers

  • How does FINN Partners' top-three rate compare to Real Chemistry, Walker Sands, and Highwire?
  • Which competitor converts presence into first-position recommendations most efficiently?
  • Why does FINN Partners rank second by top-three rate but tenth by rank-one rate?

Real Chemistry, Walker Sands, and Highwire hold the strongest recommendation-stage positions in the PR Management Agencies category for September 2026. FINN Partners sits in the leading cluster but converts presence into first-position recommendations less efficiently than the brands around it.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Real Chemistry

6.16%

4.71%

2.85

0.7043

FINN Partners

5.43%

0.36%

4.11

0.9194

Burson

5.07%

0.00%

2.89

0.5247

Walker Sands

4.71%

1.45%

4.09

0.9388

Highwire

3.62%

1.45%

4.84

0.9455

5WPR

3.26%

1.45%

3.80

0.8250

PAN Communications

2.54%

1.09%

5.39

0.9714

Ruder Finn

1.09%

0.00%

5.23

0.7059

SparkPR

0.36%

0.36%

5.00

1.0000

Allison Worldwide

0.36%

0.00%

3.00

1.0000

WE Communications

0.00%

0.00%

N/A

1.0000

Average recommended rank covers rank-eligible recommendations only.

FINN Partners ranks second by top-three rate but tenth by rank-one rate, which shows the brand is consistently shortlisted and rarely named first. Its sentiment score of 0.92 is among the strongest in the field, so the gap is about placement, not framing.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "What is the best healthcare marketing agency?" Result: FINN Partners was recommended and contributed to the brand's strongest single-platform coverage rate of 37.3% on AI Mode.

Google AI Overviews / Brand Recommendation Prompt: "pr firms" Result: FINN Partners appeared in the recommendation set, adding to its 15 valid recommendations on AI Overviews, but did not convert to a first-position recommendation.

ChatGPT / Brand Recommendation Prompt: "b2b pr agency" Result: FINN Partners recorded 3 valid recommendations on ChatGPT at 8.6% coverage, a materially thinner result than its AI Mode performance.

Perplexity / Brand Recommendation Prompt: "digital pr agency" Result: FINN Partners recorded 2 valid recommendations on Perplexity at 11.8% coverage, with one rank-one placement, showing a small but efficient recommendation pocket on that surface.

What CiteWorks Studio Would Do Next

Questions This Section Answers

  • What is the first priority for correcting FINN Partners' presence decline and rank-one gap?
  • Which prompts and content layers need improvement to convert shortlists into first-position recommendations?

Phase 1: AI Market Discovery Audit Map the exact prompts, surfaces, and competitor displacements behind the 22.7-point presence decline and the 0.4% rank-one rate.

Phase 2: Recommendation Readiness Plan Prioritize the Brand Recommendation prompts where FINN Partners is shortlisted but not named first, and define the evidence needed to convert those placements.

Phase 3: Owned Answer Layer Buildout Strengthen the pages and structured content that AI systems retrieve when buyers ask for PR agency recommendations, with emphasis on healthcare, B2B, and digital PR prompts.

Phase 4: Citation / Authority Layer Development Build the public evidence layer that supports first-position recommendations, including third-party references, category comparisons, and source pages AI systems already cite.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track presence, valid recommendation coverage, top-three rate, rank-one rate, and sentiment across all six surfaces each month to confirm whether the placement gap is closing.

Why This Matters

AI systems are now where buyer shortlists form. FINN Partners is still being recommended, still framed positively, and still landing in top-three positions at the highest rate among the leading brands. But the brand is being named first in only 0.4% of qualified observations, and it lost more than half its presence rate since July 2026.

Presence alone is not enough. The next move is targeted correction of the prompt, page, and citation layers that determine whether FINN Partners is mentioned, shortlisted, or named first. The benchmark shows where the brand stands; the work is in the layers beneath the score.

Core Metrics

Metric

Value

Mentions

62

Valid recommendations

41

Top 3 recommendation count

15

Rank #1 recommendation count

1

Average recommended rank

4.11

Positive mentions

57

Neutral mentions

5

Negative mentions

0

Raw mention presence rate

22.46%

Valid recommendation coverage

14.86%

Top 3 recommendation rate

5.43%

Rank #1 recommendation rate

0.36%

Net sentiment score

0.9194

Strongest cluster by recommendation behavior

Brand Recommendation (C01)

Strongest platform by recommendation behavior

Google AI Mode

Sentiment Score

Questions This Section Answers

  • Why are unclassified mention counts misleading for interpreting FINN Partners' AI visibility?
  • What does FINN Partners' 0.92 sentiment score reveal about its recommendation placement?

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

For FINN Partners in September 2026: (57 × 1 + 5 × 0 + 0 × -1) / 62 = 0.9194.

This matters because unclassified mention counts are misleading. A brand can appear frequently in AI answers without being recommended, and a positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal signals. Counting all mentions as wins is bad measurement.

Share of voice is a diagnostic metric, not a business KPI. FINN Partners' 22.5% presence rate looks strong in isolation, but only 14.9% of qualified observations produced a valid recommendation and only 0.4% produced a first-position recommendation. Classified sentiment is required before interpreting AI visibility, and FINN Partners' 0.92 score confirms the brand is framed positively even as its recommendation placement narrows.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Mode

19

19

0

0

1.00

Strongest public recommendation signal

Google AI Overviews

30

27

3

0

0.90

Present and recommended, placement varies

ChatGPT

5

4

1

0

0.80

Positive, but sample too small

Perplexity

2

2

0

0

1.00

Positive, but sample too small

Gemini

4

4

0

0

1.00

Present as context, not recommendation

Copilot

2

1

1

0

0.50

Present, but not recommendation-led

Methodology

  1. Report orientation: this is a company-level AI market strategy report built on the LLM Authority Index AI Market Discovery benchmark for PR Management Agencies, covering September 2026.
  2. Reporting window: the September 2026 measurement, with July 2026 and August 2026 used as comparison periods where available.
  3. Platforms tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode, the six canonical AI and search surface families with qualified observations.
  4. Observation count: 639 source prompt-surface observations were collected in September 2026, producing 276 qualified observations after relevance and eligibility filtering.
  5. Competitor universe: 11 tracked brands, including FINN Partners, Real Chemistry, Walker Sands, Highwire, Burson, 5WPR, PAN Communications, Ruder Finn, SparkPR, Allison Worldwide, and WE Communications.
  6. Public clusters used: all 276 qualified observations fell into the Brand Recommendation class. The Pricing & Value and Multi-Brand Comparison classes recorded zero qualified observations in September 2026.
  7. Stage 0 role: prompt-level observations retain the query, AI or search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
  8. Definition of a mention: a qualified observation where FINN Partners is named in any capacity, whether recommended or referenced.
  9. Definition of a valid recommendation: a qualified observation where FINN Partners appears in a valid recommendation shortlist, as marked by the dataset.
  10. Ranking interpretation: top-three rate and rank-one rate are calculated against the 276 qualified observations, not the raw collection. Average recommended rank covers rank-eligible recommendations only.
  11. Data normalization: brand-level percentages use the qualified observation set as the public denominator. The qualified count remained nearly flat across the series at 279 in July, 278 in August, and 276 in September, even as the raw collection grew from 478 to 639 prompts.
  12. Limitations: the public benchmark does not measure market share, attributable sales, every possible AI response, organic search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone. The current dataset cannot answer pricing, value, or head-to-head comparison questions.

See Where AI Is Recommending Your Brand

The public benchmark shows where FINN Partners is winning and losing across AI-generated recommendations. A company-level AI visibility audit maps the exact prompts, surfaces, competitors, and evidence sources behind those results, and turns them into a prioritized plan for closing the rank-one gap.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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