The first 30 days
We run workflow and comparison prompts, record the community, documentation and review sources cited, and plan updates to your documentation and third-party profiles.
Generative engine optimization (GEO) for data and analytics software companies
In short
PlanConversion, a Montreal-based B2B demand and revenue generation agency, runs generative engine optimization (GEO) for data and analytics software companies. Practitioners ask AI assistants which tools to use for a workflow and how they compare.
Open-source and community content often shapes those answers more than your own site. Programs are measured on share of AI answers, citations and AI-referred pipeline. Client work in this industry includes KNIME.
Last updated
Trusted by enterprise B2B teams
Founder’s in-house leadership as Director of Revenue Growth
Our point of view
What works in data and analytics software
Practitioners ask AI assistants which tools to use for a workflow and how they compare. Open-source and community content often shapes those answers more than your own site. GEO here covers documentation, comparison pages and community sources together.
Avoid this
The most common mistake
Ignoring community and open-source content. Assistants often build tool recommendations from forums, documentation and comparison posts rather than vendor homepages.
Plays
What we run for data and analytics software teams
Workflow answer pages
Clear pages for the use cases buyers ask about.
Documentation clarity
Facts and capabilities stated plainly for AI to cite.
Community source review
Forums, repositories and listings that feed AI answers.
The first month
How we start
Leading indicator to watch
Share of answers for workflow and comparison prompts, and citations of your documentation.
How the program runs
A GEO program starts with a fixed prompt set and a baseline across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews, then fixes pages, entity data and third-party sources in order of buyer importance. The prompt set is re-run monthly to track change. The full GEO service page lists every deliverable. For proof in this industry, see the KNIME case study.
Who we reach
The buying committee
- Data scientists and analysts
- Heads of data and analytics
- IT and platform owners
- Business sponsors
Users are not buyers
Practitioners adopt the product, but budget sits with data leaders and IT.
Usage signals are disconnected
Product and community data rarely reach the CRM at account level.
AI shortlists decide early
Data teams ask AI assistants for tool comparisons before visiting vendor sites.
Official Demandbase partner
Demandbase programsWe implement and run Demandbase for enterprise ABM
As an official Demandbase partner we operate the platform end to end, connect it to your CRM and report on pipeline, not impressions.
Proof
Results from comparable programs
KNIME / Data analytics softwareKNIME case study: 51% lower cost per lead with paid media accountable to pipeline51%lower cost per lead, with lead volume holding steady9 in 10leads meeting the client quality standard, verified in the CRM77%of qualified search leads from purpose-built landing pagesRead the case study →Anonymized / Enterprise software42% more qualified pipeline in six months for an enterprise software company42%lift in qualified pipeline within 6 months$40M+pipeline influenced by the engagement3xSQL volume from paid channelsRead the case study →Worked example / Enterprise B2B technologyFrom paid spend to revenue: $600K of media, $7.2M of attributed pipeline12:1pipeline-to-spend$7.2Mmarketing-sourced pipeline attributed through to the CRM$1.9Mclosed-won revenue in period, fully attributedRead the case study →
PlanConversion went beyond flagging a misfiring tracking tag. They brought the fix and a forward-looking testing plan to keep our tracking reliable.
Pipeline quality and win rates improved within a quarter. We finally had one connected demand engine with shared metrics.
Recommendations
What senior leaders say about our founder, Hojabr Sattari
Recommendations for our founder, written by executives, peers and team members on LinkedIn. Read all 14 recommendations
Babak VarjavandiCEOManaged Hojabr directlyI am delighted to recommend Hojabr, who I worked with when he was our Sr. Manager of Marketing. Because of him we had a remarkable increase in our web presence, thanks to his expertise in digital marketing. As the CEO, I’ve closely observed Hojabr’s positive impact on our team. He encourages creativity and innovation, making him not only a great leader but also a catalyst for our success.
Amanda MillerGlobal Revenue Marketing Executive and Growth StrategistManaged Hojabr directlyWorking with Hojabr has been nothing short of inspiring. As Director of Digital Strategy & Experience, he has revolutionized our digital presence, transforming our website into a customer-centric, high-performing platform that delivers measurable business impact. Hojabr’s no-nonsense approach, combined with his relentless drive to achieve results, sets him apart as a true leader who gets things done, fast and effectively. His ability to tackle complex challenges, like integrating SEO in-house and resolving large-scale technical issues, reflects his strategic mindset and unwavering commitment to excellence.
What truly makes Hojabr exceptional is his leadership. He has not only elevated his own team, unlocking potential and delivering performance I’ve never seen before, but has also mentored across the marketing organization, raising the bar for everyone he works with. His sharp focus on delivering value, both from internal teams and external agencies, ensures that every dollar spent drives meaningful outcomes. Hojabr’s cross-functional collaboration and experimental, data-driven approach are driving results that impact the entire company, and his work is a cornerstone of our digital and revenue success.
If you’re looking for someone who combines vision, execution, and the ability to lead others to greatness, Hojabr is the person you want on your team. I’m proud to work alongside him and excited to see the incredible impact he will continue to make.
Recommendations written on LinkedIn about our founder, Hojabr Sattari, mostly from his previous in-house leadership roles. Lightly edited for punctuation and to remove company names. Titles are each person’s current LinkedIn headline. They describe Hojabr’s work, not specific PlanConversion client engagements. View on LinkedIn
Keep exploring
Related pages
ServiceThe full GEO serviceScope, deliverables, pricing and how the program runs.IndustryOverview: Data and analytics softwareBuyers, channels and compliance notes for this industry.BenchmarkAI search benchmarks for B2BSourced 2026 figures and what we would do about them.By cityGEO in San FranciscoGEO agency in San Francisco: we test how ChatGPT, Perplexity, Gemini, Claude and AI Overviews describe your company, then fix the sources they cite.By cityGEO in SeattleGEO agency in Seattle: we test how ChatGPT, Perplexity, Gemini, Claude and AI Overviews describe your company, then fix the sources they cite.By cityGEO in BostonGEO agency in Boston: we test how ChatGPT, Perplexity, Gemini, Claude and AI Overviews describe your company, then fix the sources they cite.Same industryABM for data and analytics softwareABM for data and analytics software companies: usage-led account selection, data leader and IT owner plays, champion enablement, measured on engaged accounts, meetings, opportunities and pipeline by account.Same industryGoogle Ads for data and analytics softwareGoogle Ads for data and analytics software companies: comparison and integration terms, learning-query exclusions, signup-to-opportunity value, measured on qualified leads, opportunities and pipeline value from the CRM.Same industryLinkedIn Ads for data and analytics softwareLinkedIn Ads for data and analytics software companies: accounts with existing users, data leadership targeting, peer proof creative, measured on engaged accounts, meetings and pipeline.
Other industries industrial technology and manufacturing · enterprise SaaS · financial technology · healthcare technology · logistics and distribution · educational technology · cybersecurity · AI and machine learning · marketing technology and analytics
FAQ
GEO for data and analytics software
What does GEO for data and analytics software companies involve?
Practitioners ask AI assistants which tools to use for a workflow and how they compare. Open-source and community content often shapes those answers more than your own site. The core plays are workflow answer pages, documentation clarity, community source review.
Who do you reach with GEO in data and analytics software?
The roles that shape the decision: data scientists and analysts, heads of data and analytics, IT and platform owners, business sponsors.
What is the most common GEO mistake in data and analytics software?
Ignoring community and open-source content. Assistants often build tool recommendations from forums, documentation and comparison posts rather than vendor homepages.
How is GEO for data and analytics software measured?
On share of AI answers, citations and AI-referred pipeline, reported from your CRM. The leading indicator we watch first: share of answers for workflow and comparison prompts, and citations of your documentation.
How much does GEO for data and analytics software companies cost?
At PlanConversion, GEO programs are scoped to your accounts, goals and budget after a free 30-minute pipeline plan, and confirmed in your proposal. When a program includes paid media, management is 15% of monthly ad spend up to $50K, 12% from $50K to $200K and 10% above $200K, with no media markup.