January 31, 2026·10 min read·Case Study

How a SaaS Company Grew AI Visibility 34 Points in 90 Days

A detailed case study of how a B2B project management SaaS improved their AI Visibility Score from 28 to 62 in one quarter - through a systematic program combining citation-building, review acquisition, and entity optimization.

Company profile

Industry

B2B SaaS (project management)

Company size

45-person team

Starting AI Visibility Score

28 (below category average)

Target competitors

3 (scores: 67, 54, 41)

Program duration

90 days

Result

Score 62 (+34 points)

Starting position and diagnosis

At baseline, the company's AI Visibility Score was 28. Not great. Significantly below the three competitors being tracked (67, 54, and 41). ArtificialPulse's query-level data showed they appeared in only 3 out of 20 tracked queries, and only in Perplexity responses - not ChatGPT.

The diagnostic identified three root causes:

Limited G2 review presence: 23 reviews vs. competitor A's 340 reviews. Review platforms are primary AI recommendation sources for B2B software.
No Wikipedia or Wikidata presence: Competitor A had a Wikipedia article; the company had no Wikidata entry.
Absent from major "best of" coverage: Competitors A and B appeared in 4 major industry publications' best-of lists. The company appeared in none.

Month 1: Foundation work

G2 review campaign launch

+47 G2 reviews

Systematic outreach to 200 existing customers via email and in-app prompts. Offered enhanced support as appreciation (no review incentives). Result: 47 new G2 reviews in 30 days, bringing total to 70.

Wikidata entity creation

Wikidata entry live

Created a Wikidata entry for the brand with complete properties: name, founding date, headquarters, industry, official website, CEO, and product description.

Organization schema implementation

Schema live

Added JSON-LD Organization schema to homepage with all key properties. Also added Product schema to key feature pages.

About page rewrite for entity clarity

Clearer entity signals

Rewrote the About page with a clear, factual company description, founding year, mission statement, and specific product category description.

End of Month 1 AI Visibility Score: 37 (+9 from 28)

Perplexity improved first; ChatGPT unchanged

Month 2: Citation-building push

Best-of article outreach

2 new editorial inclusions

Identified 8 "best project management software" articles that included competitors but not the company. Reached out to editors with a tailored pitch for each. Secured updates in 2 of the 8 articles.

Capterra profile completion and reviews

+28 Capterra reviews

Capterra profile was incomplete. Filled out all fields and ran a separate review campaign targeting Capterra specifically. Added 28 new reviews.

Trustpilot profile launch

31 initial Trustpilot reviews

Company had no Trustpilot presence. Created and verified profile, ran invitation campaign to existing customers.

HARO / journalist source participation

3 expert quote placements

Signed up for HARO responses for project management queries. Responded to 14 requests over the month, secured 3 placements in recognized publications.

End of Month 2 AI Visibility Score: 51 (+14 from month 1)

Perplexity at 64; ChatGPT beginning to move (+6 points)

Month 3: Authority building

Major publication feature

1 major feature article

Pitched and secured a founder interview in a recognized business publication. Article focused on the company's niche focus on construction team project management.

Wikipedia article submission

Wikipedia article live

Company had built sufficient citation record (10+ independent, reliable sources). Submitted article through Articles for Creation. Approved at end of month 3.

G2 review continuation

101 total G2 reviews

Continued G2 review requests. Added another 31 reviews, bringing total to 101 - crossing the 100-review threshold.

Category-specific query targeting

3 vertical inclusions

Based on query-level data showing weakness in "construction project management" queries, pitched and secured inclusion in 3 construction industry publications' software roundups.

End of Month 3 AI Visibility Score: 62 (+11 from month 2, +34 from baseline)

Now above Competitor B (54). Closing gap to Competitor A (67)

Key learnings

Perplexity moves in weeks: Every month 1 tactic showed visible Perplexity improvement within 2–4 weeks. ChatGPT followed with a 4–6 week lag.
G2 reviews compound: Each new G2 review improved the algorithm's recommendation confidence. The jump from 23 to 101 reviews was a turning point.
Wikipedia was the biggest single month 3 move: The Wikipedia article approval coincided with the largest single-month ChatGPT jump in the program.
Editorial inclusions have long tails: The month 2 editorial inclusions continued generating Perplexity citations for months after publication.

Run this program for your clients

ArtificialPulse provides the tracking layer to measure this kind of improvement - query-level data, competitor comparison, and weekly score tracking.