Siege Media Appears in 32.3% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Siege Media was mentioned in 152 of 470 benchmark answers and recommended in 149, placing it among the leading agencies in the sample.
  • The strongest opportunity is not raw reach but improving how often mentions turn into direct recommendations and stronger placements.
  • No conflicting claims were recorded in the captured answers, so the first step is to verify facts and build a clean baseline.
  • The plan focuses on reviewing cited third-party pages, updating priority company pages, and creating content around recurring buyer questions.

Answer Capsule

In November 2026, Siege Media appeared in 152 of 470 AI answers included in the Enterprise SEO Marketing Agencies benchmark (32.34%). It received 149 recommendations (31.70%), with 77 Top 3 placements and 18 first-place recommendations. A mention means the company appeared in an answer; a recommendation means the answer affirmatively endorsed it.

Our plan compares the company with its competitors, checks conflicting AI claims against reliable sources, and identifies website pages, third-party sources and buyer questions to address. The historical results show how the figures changed across available months. Different monthly samples limit those comparisons, and conflicting AI claims require verification before corrections are proposed.

Current AI visibility

Questions This Section Answers

  • How do Siege Media mentions, recommendations and placements compare with its Enterprise SEO Marketing Agencies peers?

Siege Media recorded 152 mentions (32.34%) and 149 recommendations (31.70%) across 470 answers included in the benchmark. Top 3 placements numbered 77; first-place recommendations numbered 18. Framing among its mentions was 152 positive, 0 neutral and 0 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

WebFX

345

73.40%

333

70.85%

256

54.47%

175

37.23%

2

Directive

194

41.28%

189

40.21%

106

22.55%

32

6.81%

3

Searchbloom

188

40.00%

172

36.60%

86

18.30%

16

3.40%

4

Siege Media

152

32.34%

149

31.70%

77

16.38%

18

3.83%

5

Omniscient Digital

95

20.21%

88

18.72%

53

11.28%

9

1.91%

6

First Page Sage

90

19.15%

81

17.23%

54

11.49%

16

3.40%

7

iPullRank

70

14.89%

64

13.62%

48

10.21%

21

4.47%

8

NoGood

54

11.49%

53

11.28%

30

6.38%

6

1.28%

9

Seer Interactive

45

9.57%

43

9.15%

26

5.53%

4

0.85%

10

Avenue Z

6

1.28%

5

1.06%

1

0.21%

0

0.00%

Siege Media sits in the leading group of agencies named in these answers, with a strong share of its mentions turning into recommendations. That pairing matters more than raw reach: buyers reading an answer see the firm endorsed, not merely listed. The gap to the top-ranked agency is wide, so the realistic aim is defending and deepening the current position rather than chasing first place.

Placement is the softer part of the picture. The firm appears in shortlists far more often than it takes the top slot, which suggests answers treat it as a credible option rather than the default pick. Proposed work should therefore focus on what earns a stronger endorsement, while a scorecard tracks reach and placement separately so progress is judged on the right measure.

What changed since last month

Questions This Section Answers

  • How did Siege Media counts and coverage differ across the available monthly snapshots?

Metric

Jul 2026

Aug 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

136 / 446 (30.49%)

128 / 455 (28.13%)

141 / 502 (28.09%)

119 / 480 (24.79%)

152 / 470 (32.34%)

Recommendations

126 / 446 (28.25%)

117 / 455 (25.71%)

133 / 502 (26.49%)

113 / 480 (23.54%)

149 / 470 (31.70%)

Top 3 recommendations

56 / 446 (12.56%)

53 / 455 (11.65%)

67 / 502 (13.35%)

67 / 480 (13.96%)

77 / 470 (16.38%)

#1 recommendations

10 / 446 (2.24%)

10 / 455 (2.20%)

11 / 502 (2.19%)

18 / 480 (3.75%)

18 / 470 (3.83%)

From October 2026 to November 2026, Siege Media's mention count rose from 119 to 152, while its recommendation count rose from 113 to 149. The recommendation rate was 23.54% and 31.70% respectively.

The latest month shows a clear upward movement in both mentions and recommendations after a weaker October. Because each month is a separate sample of answers, the swing should be read as an observed change in the recorded results, not as evidence that any specific action produced it. The samples are not directly comparable in composition.

The placement figures moved in the same direction, with more shortlist and top-slot appearances than in the prior month. That is encouraging, but it does not establish a trend or a cause. The sensible response is to keep the monthly scorecard running and watch whether the improvement holds across further samples before treating it as durable.

AI recommendation trend

Observed recommendation rate (%), Jul 2026 to Nov 2026

0%10%20%30%40%Jul 2026Aug 2026Sep 2026Oct 2026Nov 202628.25%Jul 2026: 28.25%25.71%Aug 2026: 25.71%26.49%Sep 2026: 26.49%23.54%Oct 2026: 23.54%31.70%Nov 2026: 31.70%
  • Siege Media31.70%

Separate selected monthly samples. Missing points are unavailable, not zero. Provider/prompt equivalence is unverified; rate movement does not demonstrate causation.

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Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for Siege Media?

AI answers contained 0 conflicting claims about Siege Media: 0 critical, 0 high, 0 medium, 0 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

No conflicting claims about Siege Media were recorded in the captured answers, so there is no immediate fact-check queue to work through. That is a clean starting position, but it is a snapshot rather than a guarantee. The useful next step is a visibility comparison that shows where the firm is named, endorsed and placed, so effort goes to the questions where it is absent or weakly framed.

Alongside that, a short list of claims worth verifying would let the client confirm that the facts answers repeat about the firm are accurate and current. Neither step assumes an error by the company or a publisher; both simply establish a reliable baseline before any content or outreach work begins.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about Siege Media should be verified before proposed page edits?

No results are available for this part of the analysis.

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

This part of the analysis returned no results, so there are no disputed topics to work from yet. Rather than guess at page problems, the proposed work is to build a small verification list from the claims answers actually make about Siege Media, then check each against current primary sources. Only claims that survive that check would justify a page brief.

Where two answers appear to conflict, the first task is to resolve the entity, the date and the source behind each statement. Different dates can make an apparent conflict disappear. Ambiguous matches stay out of any correction queue, and no page change is proposed until the underlying fact is confirmed.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for Siege Media?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://orbitmedia.com/website-optimization/seo/enterprise/

9

4

0

https://gobluemedia.com/blog/best-seo-agencies-usa/

6

4

0

https://columnfivemedia.com/best-b2b-content-marketing-agencies/

3

3

0

https://uprawmedia.com/blog/best-saas-seo-agencies

4

2

0

https://truesuggest.com/siege-media

2

2

0

https://clutch.co/us/agencies/social-media-marketing

2

1

0

These pages were selected because they relate to the company in the captured answers. Their current contents still need checking before any correction request. A page linked to a conflicting claim is not necessarily its cause, and the same answer may contribute to more than one row.

The cited pages selected for review are a starting point for source conversations, not a list of errors. Several are agency roundups and directory-style pages that name many firms, so their current contents need checking before any request is made. A citation shows that a page appeared in an answer; it does not show that the page shaped the answer or that its publisher got anything wrong.

The proposed work is a focused review of the most relevant pages, paired with evidence-backed requests where a genuine gap or outdated detail is confirmed. Requests should be framed as helpful updates, with no assumption of publisher control or obligation. Responses and no-change decisions get recorded so the client can see what was asked and what came back.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Siege Media website pages should receive review briefs?

Company website page

Citation appearances in all captured answers

Benchmark answers citing the page

Recommending answers citing the page

https://siegemedia.com/

2

2

2

https://siegemedia.com/best-agencies/best-fintech-seo-agencies

2

2

2

https://siegemedia.com/creation/best-content-writing-services

2

2

2

https://siegemedia.com/seo/best-ecommerce-seo-agency

2

2

2

https://siegemedia.com/strategy/best-seo-services

2

2

1

https://siegemedia.com/about

1

1

1

https://siegemedia.com/best-agencies/technical-seo-agencies

1

1

1

https://siegemedia.com/seo/best-enterprise-seo-agencies

1

1

1

The company's website was cited 15 times across 10 distinct page addresses; the table shows 8 pages selected for review. Zeros in the answer columns mean no matching answers were recorded. A cited page is not automatically a page that accompanied a recommendation.

The company site is cited across a modest set of pages, and the pages selected for review cluster around list-style and service pages. Citation counts here are small, so they should guide which pages get attention first rather than stand as proof of performance. A page appearing in an answer does not mean it accompanied a recommendation.

The proposed work is a set of page briefs built on approved facts and the questions buyers actually ask. Each brief would check what the page currently covers before proposing changes, and would note the audience question it serves. Pages with no recorded citations are not assumed to be weak; they simply sit outside this evidence.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Siege Media?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

What is the best AI SEO agency?

4

4

4

Who are the best fintech SEO agencies?

4

4

4

What company has the best SEO?

4

3

3

What is the best SEO service provider?

6

3

3

What is the best content marketing agency?

3

3

3

What are the best SEO agencies in the USA?

3

2

2

Which company has the best SEO?

4

2

2

Which is the best company for content writing?

2

2

2

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

The recorded questions point to a consistent theme: buyers ask which agency is best for a specific need, whether that is AI SEO, fintech SEO, content marketing or enterprise work. Siege Media appears in answers to most of these questions, which suggests the content opportunity is about strengthening how the firm is described within those answers rather than filling an obvious gap.

The proposed work is buyer-question content briefs that check existing coverage first. Where a page already addresses a question, the brief would focus on sharpening the evidence and clarity; where coverage is thin, a new page could be considered. The observed questions are answer records, not verified search demand, so they inform priorities rather than dictate them.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Siege Media work and judge completion?

Period

Deliverable

Completion criterion

Days 1–30

Baseline scorecard, scoped fact-review register and page/source shortlist

Each record has an owner, evidence requirement and review status

Days 31–60

Approved page briefs and justified publisher requests

Separate confirmed edits, no-change decisions, requests and responses

Days 61–90

Buyer-content briefs and a fresh scorecard

Record work completed separately from measured answer outcomes and comparability limits

The first month establishes the baseline: a scorecard, a scoped fact-review list and a shortlist of pages and sources, each with an owner and a review status. This gives later work something solid to build on and keeps verification ahead of any edit.

The second month turns confirmed findings into approved page briefs and justified publisher requests, with confirmed edits, no-change decisions, requests and responses recorded separately. The third month adds buyer-content briefs and a fresh scorecard. Completed work is reported apart from measured answer outcomes, and no visibility gain is promised from any deliverable.

Methodology

Questions This Section Answers

  • How are Siege Media answer metrics and citation populations defined?

This report covers 2026-11. The exact dates when the original AI answers were collected have not been verified. The visibility rates use 470 answers that met the benchmark's inclusion rules. A company is recommended only when the answer both endorses it and uses positive wording. Top 3 and first-place counts are part of those recommendations, not extra recommendations.

An answer can mention or recommend several companies, so company counts cannot be added to find the number of distinct answers. The net sentiment score is positive minus negative mentions, divided by all company mentions; it describes answer wording, not customer satisfaction.

The wider citation analysis covers 800 captured answers and 5511 appearances of cited URLs. Citation appearances across all captured answers differ from the number of benchmark answers citing a page and the number that also recommend a company. The current contents of cited pages and disputed company claims still need independent verification.

Monthly sample coverage:

Reporting month

Answers included

AI services covered

Services

Jul 2026

446

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Aug 2026

455

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Sep 2026

502

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Oct 2026

480

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Nov 2026

470

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

The answers were collected on dates that have not been verified, and each month is a separate sample, so month-to-month movements show what was recorded rather than why it changed. A company counts as recommended only when an answer endorses it with positive wording; shortlist and top-slot appearances sit inside those recommendations rather than adding to them.

Answers can name several companies, so company counts cannot be summed into a count of distinct answers. Citation appearances describe where pages were referenced, not what those pages currently say or whether they influenced an answer. Cited pages and disputed claims still need independent verification.

Our first three priorities

The first priority is a clean baseline: a scorecard that separates mentions, recommendations and placement, plus a short verification list drawn from claims answers actually make. With no conflicting claims recorded, this is about confirming accuracy rather than fixing known errors, and it keeps later work grounded in checked facts.

The second is a focused review of the cited pages most relevant to Siege Media, followed by evidence-backed requests only where a real gap is confirmed. The third is buyer-question content briefs that check existing pages before proposing new ones. Together these give the client a defensible starting point without promising a visibility outcome.

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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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