DISA Global Solutions Appears in 4.5% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.
This report supports CiteWorks Studio's examination of how AI search is recommending Background Checks. For more detail, you can also read Background Checks: AI Visibility Discovery Index.
On this report
Browse sections
- Answer Capsule
- Current AI visibility
- What changed since last month
- Next Step
- Step 1. Measure
- Step 2. Make the website consistent
- Step 3. Align the external narrative
- Step 4. Optimize priority company pages
- Step 5. Publish around buyer questions
- Our 90-day action plan
- Methodology
- Our first three priorities
- Learn More
Key Takeaways
- DISA appears in 4.55% of benchmark answers, but recommendations are much lower at 1.05%.
- Mentions are mostly neutral, suggesting the company is named more often than it is endorsed.
- The strongest opportunities are the company pages and third-party sources already cited in answers.
- Buyer questions center on trust, employer choice, and background verification, which can guide new content briefs.
Answer Capsule
In November 2026, DISA Global Solutions appeared in 13 of 286 AI answers included in the Background Checks benchmark (4.55%). It received 3 recommendations (1.05%), with 1 Top 3 placement and 1 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 DISA Global Solutions mentions, recommendations and placements compare with its Background Checks peers?
DISA Global Solutions recorded 13 mentions (4.55%) and 3 recommendations (1.05%) across 286 answers included in the benchmark. Top 3 placements numbered 1; first-place recommendations numbered 1. Framing among its mentions was 3 positive, 10 neutral and 0 negative.
Rank | Company | Mentions | Mention rate | Recommendations | Recommendation rate | Top 3 | Top 3 rate | #1 | #1 rate |
|---|---|---|---|---|---|---|---|---|---|
1 | 279 | 97.55% | 204 | 71.33% | 169 | 59.09% | 135 | 47.20% | |
2 | GoodHire | 229 | 80.07% | 160 | 55.94% | 116 | 40.56% | 44 | 15.38% |
3 | HireRight | 186 | 65.03% | 117 | 40.91% | 79 | 27.62% | 24 | 8.39% |
4 | First Advantage | 121 | 42.31% | 70 | 24.48% | 45 | 15.73% | 17 | 5.94% |
5 | 116 | 40.56% | 38 | 13.29% | 19 | 6.64% | 13 | 4.55% | |
6 | 18 | 6.29% | 7 | 2.45% | 3 | 1.05% | 2 | 0.70% | |
7 | Justifacts | 6 | 2.10% | 4 | 1.40% | 3 | 1.05% | 1 | 0.35% |
8 | DISA Global Solutions | 13 | 4.55% | 3 | 1.05% | 1 | 0.35% | 1 | 0.35% |
9 | 3 | 1.05% | 2 | 0.70% | 2 | 0.70% | 1 | 0.35% | |
10 | PreCheck | 2 | 0.70% | 1 | 0.35% | 1 | 0.35% | 1 | 0.35% |
11 | 1 | 0.35% | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | |
11 | InfoMart | 3 | 1.05% | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% |
11 | SecurTest | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% |
11 | Universal Background Screening | 1 | 0.35% | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% |
11 | Verified Credentials | 2 | 0.70% | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% |
DISA Global Solutions appears in a small share of the benchmark answers, and affirmative recommendations are rarer still. Its mentions lean neutral rather than negative, which suggests the company is being named in passing more often than it is being put forward as a preferred choice. That gap between being seen and being chosen is the practical issue.
The leaders sit far ahead on both mentions and recommendations, so DISA is competing for attention against firms that answers treat as default options. The useful first move is a scorecard that separates where DISA is named from where it is actually endorsed, so effort goes toward the answers that could plausibly shift.
What changed since last month
Questions This Section Answers
- How did DISA Global Solutions counts and coverage differ across the available monthly snapshots?
Metric | Jul 2026 | Aug 2026 | Sep 2026 | Oct 2026 | Nov 2026 |
|---|---|---|---|---|---|
Mentions | 27 / 503 (5.37%) | 22 / 539 (4.08%) | 20 / 513 (3.90%) | 18 / 504 (3.57%) | 13 / 286 (4.55%) |
Recommendations | 16 / 503 (3.18%) | 13 / 539 (2.41%) | 12 / 513 (2.34%) | 12 / 504 (2.38%) | 3 / 286 (1.05%) |
Top 3 recommendations | 4 / 503 (0.80%) | 3 / 539 (0.56%) | 1 / 513 (0.19%) | 1 / 504 (0.20%) | 1 / 286 (0.35%) |
#1 recommendations | 1 / 503 (0.20%) | 0 / 539 (0.00%) | 0 / 513 (0.00%) | 0 / 504 (0.00%) | 1 / 286 (0.35%) |
From October 2026 to November 2026, DISA Global Solutions' mention count fell from 18 to 13, while its recommendation count fell from 12 to 3. The recommendation rate was 2.38% and 1.05% respectively.
Across the monthly samples, mentions and recommendations both moved lower in the latest month, and the recommendation count fell more sharply than mentions. The samples differ in size between months, so the two months are not directly comparable and the movement should be read as a recorded change rather than a trend.
Because the answer sets are separate samples, nothing here shows why the counts moved. The sensible response is to keep the monthly record as a baseline and watch whether the pattern holds across comparable samples before treating it as a signal worth acting on.
AI recommendation trend
Observed recommendation rate (%), Jul 2026 to Nov 2026
- DISA Global Solutions1.05%
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 DISA Global Solutions?
AI answers contained 0 conflicting claims about DISA Global Solutions: 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 DISA Global Solutions 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 not proof that every statement about the company is accurate; it means nothing in this sample warranted a correction review.
The proposed work is a visibility comparison that sets DISA's placement against the leading firms, paired with a short list of claims worth verifying against primary sources. That gives the client a clear sense of where attention is thin and which statements deserve a second look before any outreach.
Step 2. Make the website consistent
Questions This Section Answers
- Which recorded claim differences about DISA Global Solutions 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 brief against yet. Rather than guess at page changes, the proposed work is to confirm the company's basic facts first: legal entity, service names and dates, checked against DISA's own materials.
Once those facts are settled, page briefs can be drafted only for topics the evidence actually supports. Any apparent conflict should be resolved by checking the entity, date and source before deciding whether a correction is warranted, since differing dates alone can explain an apparent mismatch.
Step 3. Align the external narrative
Questions This Section Answers
- Which cited third-party pages are relevant to fact review for DISA Global Solutions?
Cited page selected for review | Citation appearances in all captured answers | Answers mentioning the company | Conflicting claims linked to this page |
|---|---|---|---|
https://expertinsights.com/compliance/the-top-background-check-solutions | 9 | 1 | 0 |
https://fadv.com/solutions/pre-employment-drug-screening/ | 1 | 1 | 0 |
https://questdiagnostics.com/business-solutions/employers/drug-screening | 1 | 1 | 0 |
https://questdiagnostics.com/business-solutions/employers/drug-screening/employer-solutions-portal | 1 | 1 | 0 |
https://goodhire.com/resources/articles/best-background-check-services/ | 64 | 5 | 0 |
https://accusourcehr.com/blog/best-background-check-companies | 30 | 5 | 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 include industry roundups and drug-screening resources, several of which appear repeatedly across captured answers. Citation frequency shows where answers are drawing from, not that those pages influenced a recommendation or contain errors, so each needs a current read before any request is made.
The proposed work is a source-by-source review that records what each page currently says about DISA, flags anything inaccurate, and prepares evidence-backed outreach only where a correction is justified. Pages that already describe the company fairly would be left alone.
Step 4. Optimize priority company pages
Questions This Section Answers
- Which observed DISA Global Solutions 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://disa.com/news/best-background-check-companies-for-employers-2026/ | 11 | 8 | 1 |
https://disa.com/background-checks/fcra-compliance/ | 2 | 2 | 0 |
https://disa.com/ | 1 | 1 | 0 |
The company's website was cited 14 times across 3 distinct page addresses; the table shows 3 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.
DISA's own pages were cited across a small set of addresses, with one employer-focused article drawing most of the attention. That article is the natural starting point for a page brief, since it already appears in answers and can be checked against approved facts rather than rebuilt from scratch.
The proposed work is to brief priority pages using confirmed company facts and the questions buyers actually ask, then review each page for accuracy and clarity. Pages with no recorded citations should be assessed on their own merits before any rewrite is proposed.
Step 5. Publish around buyer questions
Questions This Section Answers
- Which observed buyer questions support content briefs for DISA Global Solutions?
Question observed in the research | Benchmark answers to this question | Company mentions | Company recommendations |
|---|---|---|---|
What is the most trusted background check? | 5 | 1 | 1 |
employment background check companies | 2 | 1 | 1 |
employment screening services | 1 | 1 | 1 |
Which company is best for background verification? | 5 | 2 | 0 |
Who do most employers use for background checks? | 5 | 2 | 0 |
What is the best software for background checks? | 5 | 1 | 0 |
employee background check service | 1 | 1 | 0 |
employee drug testing companies | 1 | 1 | 0 |
These are recorded answer observations, not search volume, verified demand, or proof of missing website content.
The recorded questions cluster around trust, employer choice and drug testing, with DISA appearing in several but recommended in only a few. The trust and verification questions are where the company is mentioned without endorsement, which makes them the most useful place to look for content that answers the question directly.
The proposed work is to check whether DISA already covers these questions on its site, then draft briefs for the gaps. These are recorded answer observations, not search volume, so the briefs should be treated as content candidates rather than confirmed demand.
Our 90-day action plan
Questions This Section Answers
- How should the agency sequence the proposed DISA Global Solutions 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 scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner and a clear evidence requirement. Nothing is corrected or requested until that groundwork is in place.
The second month produces approved page briefs and any publisher requests that survive verification, with confirmed edits, no-change decisions and responses recorded separately. The third month adds buyer-question content briefs and a fresh scorecard. Completed work will be reported separately from measured answer outcomes, since visibility can move for reasons outside the agency's control.
Methodology
Questions This Section Answers
- How are DISA Global Solutions 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 286 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 4999 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 | 503 | 6 | ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity |
Aug 2026 | 539 | 6 | ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity |
Sep 2026 | 513 | 6 | ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity |
Oct 2026 | 504 | 6 | ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity |
Nov 2026 | 286 | 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 report covers a single month, and the exact dates the answers were collected have not been verified. Recommendation counts require both an endorsement and positive wording, and top placements sit inside those recommendations rather than adding to them. An answer can name several companies, so company counts do not sum to distinct answers.
Monthly samples differ in size and composition, so comparisons describe recorded movement without explaining it. Cited pages and any disputed claims still need independent verification before action.
Our first three priorities
First, build the baseline scorecard and fact-review register so DISA can see where it is named versus genuinely endorsed, and which statements about the company deserve verification. This is groundwork, and it keeps later outreach tied to evidence rather than assumption.
Second, brief the employer-focused article that answers already cite, using approved facts and the trust and verification questions buyers ask. Third, review the frequently cited industry pages and prepare publisher requests only where a current read shows something inaccurate. Each step depends on the one before it, and none guarantees a change in visibility.
/ Learn More
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?
What Is Citation Architecture?
What Is Generative Engine Optimization?
What Is AI Share of Voice?
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