CiteWorks Studio

Taktical Digital AI Market Strategy Report - Digital Marketing Agencies

Mark HuntleyBy Mark HuntleyFounder and CEO
4 minutes read

Key Takeaways

  • Taktical Digital appeared in 5 of 625 AI observations, with a 0.8% mention rate and no valid recommendations.
  • All mentions were neutral, indicating visibility without shortlist placement or positive recommendation credit.
  • The pricing cluster showed the strongest presence with 4 neutral mentions, making it the clearest near-term conversion opportunity.
  • The agency had no presence on ChatGPT, Gemini, or Google AI Mode, limiting exposure in key AI-driven discovery environments.

Answer Capsule

Taktical Digital appears in AI responses across three platforms but receives zero valid recommendations in the July 2026 LLM Authority Index benchmark. The agency's AI Authority Value of $1,207.95 comes entirely from neutral visibility assist value, meaning it is mentioned but never positively recommended or shortlisted by any AI platform. The clearest weakness is the complete absence of recommendation-stage presence across all three high-intent buyer clusters. The clearest opportunity is building the citation architecture needed to convert neutral mentions into valid recommendations, particularly in the pricing cluster where the agency has its strongest presence.

Who This Report Is For

This report is for Taktical Digital's leadership, marketing team, and growth strategists who need to understand why the agency is structurally excluded from AI-driven buyer consideration and what must change to earn shortlist placement.

Report Card

  • Report type: AI Company Market Strategy Report
  • Target company: Taktical Digital
  • Category / market studied: Digital Marketing Agency
  • Reporting month: July 2026
  • AI platforms tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity
  • Public high-intent clusters: 3 (Discovery, Comparison, Pricing)
  • AI observations analyzed: 625
  • Competitors tracked: Straight North, Victorious SEO, Directive Consulting, Nebo Agency, Grater Digital

Executive Summary

Taktical Digital is functionally invisible to AI-driven buyer selection in the digital marketing agency category. Across 625 observations on six major AI platforms, the agency appears in only 5 responses, a raw mention presence rate of 0.8%. All 5 mentions are neutral. There are zero positive mentions, zero valid recommendations, and zero top-three or rank-one placements.

The agency's AI Authority Value of $1,207.95 is the second lowest in the six-company benchmark, ahead of only Grater Digital. Every dollar of that value comes from visibility assist value, which is capped at 15% of the total opportunity. Taktical Digital captures 0.0002% of the category's $7.25 million monthly AI opportunity.

The strongest platform signal is on Perplexity, where the agency appears in 3 neutral mentions. Google AI Overviews and Copilot each return 1 neutral mention. The agency has zero presence on ChatGPT, Gemini, and Google AI Mode, the three platforms that account for a significant portion of where AI-driven discovery occurs.

The clearest cluster gap is in the comparison cluster, where Taktical Digital has zero presence across 212 observations. This is the cluster where Victorious SEO captures $85,999.74 in AI Authority Value. Buyers comparing agencies side by side never see Taktical Digital as an option.

What Taktical Digital Is Winning

Taktical Digital has limited wins in this dataset, and they must be stated plainly.

The agency appears in the pricing cluster with 4 neutral mentions, its strongest cluster presence. This suggests some public source material exists that AI systems can retrieve when buyers ask about agency costs. The pricing cluster carries the highest buyer stage multiplier at 1.5, meaning any recommendation credit earned here would be commercially valuable.

The agency also appears on Perplexity with 3 neutral mentions, its strongest single-platform presence. Perplexity is a growing AI discovery platform, and having any footprint there is better than none.

These are starting points, not commercial wins. The agency is visible enough to be retrieved in narrow contexts but not sufficiently credible to be recommended.

Where Taktical Digital Has the Clearest AI Visibility Gaps

The most critical gap is the complete absence of valid recommendations. Taktical Digital receives zero valid recommendations across all platforms and all clusters. Every mention is neutral. The agency is paying the cost of visibility without capturing any of the value.

The comparison cluster gap is the most commercially damaging. Victorious SEO dominates this cluster with $85,999.74 in AI Authority Value, capturing 3.59% of the cluster opportunity. Straight North and Directive Consulting also earn recommendation credit here. Taktical Digital has zero presence. Buyers comparing agencies side by side will see competitors recommended and will not see Taktical Digital.

The discovery cluster gap is nearly as severe. Straight North leads with $72,221.01 in AI Authority Value. Taktical Digital appears in only 1 observation with a neutral mention worth $7.05. Buyers asking for the best digital marketing agencies will not find Taktical Digital in a recommended position.

The platform gap is concentrated. Taktical Digital has zero presence on ChatGPT, Gemini, and Google AI Mode. These three platforms represent a substantial share of the category's total AI opportunity. The agency is absent from the platforms where most AI-driven discovery occurs.

The net sentiment score of 0.0 confirms that every mention is neutral. There is no positive framing anywhere in the dataset. Competitors like Straight North (0.6346) and Victorious SEO (0.5455) have predominantly positive framing when mentioned, which directly supports their recommendation credit.

Biggest Opportunity

The clearest path from reference to recommendation for Taktical Digital is building the citation architecture needed to earn recommendation credit in the pricing cluster.

The pricing cluster is where Taktical Digital has its strongest presence, with 4 neutral mentions across 242 observations. This cluster carries the highest buyer stage multiplier at 1.5, meaning recommendation credit here is more valuable per mention than in discovery or comparison. Straight North leads this cluster with only $12,148.44 in AI Authority Value, suggesting the cluster is less concentrated than discovery or comparison and therefore more accessible.

If Taktical Digital can convert its neutral pricing mentions into positive recommendations, it can capture meaningful value in the cluster where it already has some footprint. This requires stronger entity signals, authoritative third-party citations about pricing and value, and consistent positive framing across the public evidence layer.

Prompt Evidence

Perplexity / Pricing Prompt: "What are the pricing and costs for digital marketing agencies?" Result: Taktical Digital appeared in a neutral list of agencies but was not recommended or ranked.

Google AI Overviews / Pricing Prompt: "How much do digital marketing agencies charge?" Result: Taktical Digital was mentioned neutrally alongside other agencies with no positive framing.

Copilot / Discovery Prompt: "What are the best digital marketing agencies?" Result: Taktical Digital appeared once as a neutral mention with no recommendation credit.

Perplexity / Discovery Prompt: "Who are the top digital marketing agencies?" Result: Taktical Digital was not mentioned. Straight North and Victorious SEO received recommendations.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map every prompt, platform, and cluster where Taktical Digital appears and where competitors are recommended instead, using the full 10-cluster dataset.

Phase 2: Recommendation Readiness Plan Identify the specific citation gaps that prevent AI platforms from advancing Taktical Digital from neutral mention to positive recommendation.

Phase 3: Owned Answer Layer Buildout Strengthen the agency's owned content, entity schema, service pages, and pricing information so AI systems can retrieve and cite accurate, positive material.

Phase 4: Citation / Authority Layer Development Build authoritative third-party citations, review signals, comparison content, and industry directory presence that AI platforms trust for recommendation decisions.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track changes in mention presence, recommendation coverage, sentiment, and platform-specific performance to measure progress and adjust strategy.

Why This Matters

AI platforms are becoming the primary discovery tool for buyers selecting digital marketing agencies. The shortlist is being formed inside AI responses, not on search engine results pages. Taktical Digital is visible in narrow contexts but structurally excluded from recommendation-stage consideration.

Presence alone is not enough. The benchmark shows that multiple agencies in this category appear in AI responses but receive zero valid recommendations. They are paying the cost of visibility without capturing any of the value. The next move for Taktical Digital is not to chase more mentions. It is to build the citation architecture, entity signals, and positive framing that convert neutral references into valid recommendations.

Core Metrics

  • Mentions: 5
  • Valid recommendations: 0
  • Top 3 recommendation count: 0
  • Rank 1 recommendation count: 0
  • Average recommended rank: N/A
  • Positive mentions: 0
  • Neutral mentions: 5
  • Negative mentions: 0
  • Raw mention presence rate: 0.8%
  • Valid recommendation coverage: 0.0%
  • Top 3 recommendation rate: 0.0%
  • Rank 1 recommendation rate: 0.0%
  • Strongest cluster by presence: Pricing (4 mentions)
  • Strongest platform by presence: Perplexity (3 mentions)

Sentiment Score

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

Taktical Digital: (0 x 1 + 5 x 0 + 0 x -1) / 5 = 0.0

A sentiment score of 0.0 means every mention is neutral. There is no positive framing anywhere in the dataset. This matters because unclassified mention counts are misleading. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal in commercial value. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility data accurately.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Copilot

1

0

1

0

0.0

Present, but not recommendation-led

Gemini

0

0

0

0

N/A

No public presence in this packet

Google AI Mode

0

0

0

0

N/A

No public presence in this packet

Google AI Overviews

1

0

1

0

0.0

Present, but not recommendation-led

Perplexity

3

0

3

0

0.0

Present, but not recommendation-led

Methodology

  1. Market studied: Digital Marketing Agency category, including full-service and specialized digital marketing firms.
  2. Brands/entities included: Straight North, Victorious SEO, Directive Consulting, Nebo Agency, Taktical Digital, Grater Digital. This is not a full market census.
  3. Data collection date and window: July 2026, snapshot-based measurement.
  4. AI platforms tested: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity.
  5. Number of observations analyzed: 625 observations across all platforms and clusters. Unique prompt count was not available in the public version of this benchmark.
  6. Prompt categories: Discovery (consideration stage), Comparison (evaluation stage), Pricing and Cost (decision stage). These represent 3 of 10 total clusters in the full LLM Authority Index dataset.
  7. Definition of a mention: A mention means the company appeared in an AI-generated response, regardless of sentiment or rank.
  8. Definition of a valid recommendation: A valid recommendation is a positive, shortlist-quality recommendation or ranked recommendation that earns recommendation credit. Visibility is not the same as recommendation credit.
  9. Ranking and scoring metrics used: Valid recommendation coverage, Top 3 rate, Rank 1 rate, average recommended rank, net sentiment score, AI Authority Value, AI Recommendation Value, AI Visibility Assist Value, and captured share of AI opportunity.
  10. Modeled values: AI Authority Value and related monetary figures are modeled benchmark estimates. They are not revenue, pipeline, or booked demand.
  11. Limitations: This is a point-in-time benchmark. AI outputs change over time. This report is not a full audit or full market census. Public cluster coverage is limited to 3 of 10 total clusters available in the full LLM Authority Index dataset.

See How AI Is Recommending Your Agency

The benchmark shows which agencies win AI-driven buyer consideration and which are being bypassed at the shortlist stage. An AI Visibility Audit maps where your agency appears, where competitors are recommended instead, which prompts carry the most commercial risk, which sources are shaping AI answers about your category, and what needs to change to move from neutral mention to valid recommendation.

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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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