AI The challenge
When we first audited this project management SaaS company, the results were stark: despite ranking on page one of Google for dozens of high-intent keywords, holding 2,000+ G2 reviews with a 4.7-star average, and spending $180K annually on content marketing, the brand appeared in exactly zero AI-generated answers across 240 category-relevant prompts.
Meanwhile, six competitors — including two with significantly smaller market share and fewer reviews — dominated every answer when prospects asked ChatGPT, Perplexity, or Gemini questions like "What's the best project management tool for a mid-size team?"
Baseline findings
- Entity ambiguity: No clear Organization schema; AI conflated the brand with a similarly-named open-source project.
- Content structure: Blog content optimized for keywords but not extraction. No comparison pages or structured FAQs.
- Authority asymmetry: Competitors had stronger knowledge panels and review platform presence.
What we did
Full Growth program over 14 weeks: entity framework + schema, 40 citation-ready pages, G2/Capterra optimization, 8 digital PR placements, llms.txt deployment, and weekly mention tracking.
Results
- AI mention share: 0% → 73%
- First named in 7/10 highest-value prompts
- Demo requests increased 3.2×
- 91% positive AI sentiment
"We went from zero AI mentions to being the first brand named in 7 out of 10 category prompts."
— VP Marketing
Key takeaways
Strong traditional SEO does not translate to AI visibility. Brands must invest in entity clarity, citation-ready content, and off-site authority signals separately.
Week-by-week timeline
Weeks 1–2: Audit complete. 0% mention rate confirmed. Entity framework drafted. Organization and Product schema deployed. Competitive positioning matrix finalized with input from product marketing and sales.
Weeks 3–5: First 15 citation-ready pages published: 5 comparison guides, 5 use-case playbooks, 5 FAQ clusters. G2 profile rewritten with category-specific language. First digital PR placement secured.
Weeks 6–9: 25 additional pages live. Mention rate climbs from 0% to 34%. llms.txt published. Internal linking architecture connects all entity pages. Review velocity campaign generates 45 new G2 reviews.
Weeks 10–14: Mention rate reaches 73%. Brand named first in 7/10 core prompts. Sales team reports "found via ChatGPT" as emerging lead source. Executive dashboard goes live for ongoing monitoring.
Investment and ROI
The client invested approximately $19,250/month (Growth program) over 14 weeks — roughly $67,000 total. The 3.2× increase in demo requests translated to an estimated $340,000 in additional pipeline within the first quarter post-program, representing a 5× ROI on GEO investment.
About the client
ProjectFlow (anonymized) is a 120-employee B2B SaaS company offering project management software for mid-size teams. Founded in 2017, they serve 3,200 customers primarily in technology, professional services, and creative agencies. Annual recurring revenue exceeded $28M at the time of engagement. The product holds a 4.7-star rating on G2 with 2,100+ reviews and ranks on page one of Google for 40+ project management keywords.
Despite this strong traditional marketing foundation, the company faced a growing pipeline problem: inbound demo requests had plateaued for three consecutive quarters while competitors reported accelerating growth. When the VP of Marketing began asking new leads how they discovered ProjectFlow, a troubling pattern emerged — virtually none mentioned AI tools.
Competitive landscape in AI
Our audit mapped six direct competitors across 240 prompts. The results were stark:
- Asana: Mentioned in 89% of category prompts, named first in 52%
- Monday.com: Mentioned in 76%, named first in 21%
- ClickUp: Mentioned in 71%, named first in 14%
- Notion: Mentioned in 64%, named first in 8%
- Wrike: Mentioned in 58%, named first in 3%
- ProjectFlow: Mentioned in 0%, named first in 0%
Two competitors with smaller market share and fewer reviews (ClickUp and Notion) dominated AI recommendations because their content was structured for LLM extraction — comparison pages, feature matrices, use-case guides, and entity clarity that AI systems could confidently cite.
Detailed content production log
Over 14 weeks, we produced 40 citation-ready pages organized into four clusters:
Comparison cluster (12 pages): "ProjectFlow vs. Asana," "ProjectFlow vs. Monday.com," "ProjectFlow vs. ClickUp," and similar for Wrike, Notion, Smartsheet, Basecamp, Teamwork, Jira, Trello, and Airtable. Each page featured a structured feature comparison table, use-case fit matrix, pricing comparison, and an honest assessment of when each tool is the better choice.
Use-case cluster (8 pages): "Project management for engineering teams," "PM software for marketing agencies," "Project tracking for professional services," and similar vertical-specific guides with concrete workflow examples and outcome metrics.
FAQ cluster (15 pages): Mapped to the 15 highest-volume prompts in the category. Each page contained 8–12 question-answer pairs in extractable format with FAQPage schema.
Integration cluster (5 pages): Entity pages for Slack, GitHub, Figma, Salesforce, and HubSpot integrations — capturing long-tail prompts about tool compatibility.
Authority building results
Parallel to content production, our authority team executed:
- G2 profile rewrite with category-specific language and feature taxonomy matching AI prompt vocabulary
- 45 new G2 reviews generated through a systematic customer outreach campaign
- Capterra profile optimization and 3 new comparison badges earned
- 8 digital PR placements in publications AI frequently cites (TechCrunch, SaaStr blog, PM Today)
- Knowledge panel optimization through Wikidata entry creation and Google entity reconciliation
- llms.txt published declaring all citation-ready pages and preferred brand description
Platform-by-platform results at week 14
- ChatGPT: 78% mention rate, first in 8/12 core prompts
- Perplexity: 71% mention rate, cited with sources in 9/12 prompts
- Gemini: 69% mention rate, first in 6/12 prompts
- Copilot: 65% mention rate, first in 5/12 prompts
- Claude: 74% mention rate, first in 7/12 prompts
Organizational impact
Beyond pipeline metrics, the program changed how ProjectFlow thinks about marketing. The content team adopted citation-ready formats for all new content. Sales began asking "how did you hear about us" in every demo. Product marketing started mapping feature launches to prompt spaces. GEO became a standing item on the monthly leadership agenda — not a one-time project but an ongoing competitive discipline.