About This Audit
This tool audits how Plain performs in AI-powered search engines — a channel that increasingly drives inbound for B2B software. It fires 20 real buying-intent queries at Tavily's AI search engine, then scores how often Plain surfaces versus its competitors. Every data point is pulled live at runtime — no manual research, no static assumptions. Section 1 shows where Plain stands today. Section 2 translates those findings into a specific, executable 90-day growth plan.
Content Gaps — What Plain Is Missing
Topics that would capture high-intent AI search queries where Plain doesn't currently surface. Each one is a specific article or page, ready to brief.
AI answers pair Plain with DevRev for developer-focused queries but don't differentiate them. A head-to-head comparison page gives engines structured claims to cite when ICP buyers evaluate the two named alternatives.
Captures: “customer support tool for developer-focused companies”
This exact buyer query surfaces Enjo and legacy tools alongside Plain without clear positioning. A dedicated listicle with Plain framed for PLG/technical startups captures the top-of-funnel evaluation query directly.
Captures: “best customer support platform for B2B SaaS startup”
AI currently recommends Jira Service Management and Zendesk for developer tools companies with no mention of Plain. A targeted article reframing the category around developer experience and API-first workflows fills a critical citation gap.
Captures: “best help desk software for developer tools company”
AI already cites Plain as best for 'companies like Vercel or Cursor' - a customer-proof page with named ICP logos reinforces that association and provides concrete evidence engines can quote when this query recurs.
Captures: “best support software for companies like Vercel or Cursor”
Current AI answers for this query lean on Zendesk and generic advice about knowledge bases. A dedicated page defining what 'technical B2B' actually requires (Slack, Linear, GitHub, MCP) positions Plain as the default answer.
Captures: “help desk for technical B2B teams”
One thing Plain is doing wrong on AEO today
Plain is winning surface-level visibility (appearing in 80% of AI queries) but losing the ranking battle - scoring 41 points versus Zendesk's 78 means AI engines mention Plain but rarely recommend it as the answer. The gap is comparison and authority content: Plain has no dominant 'vs' pages or ICP-specific buyer guides, so LLMs default to citing Zendesk/Intercom as the 'safe' recommendation even in developer-tool contexts where Plain should win outright.
Phase 1: Foundation
Days 1-30
Publish 'Plain vs DevRev: The B2B SaaS Support Platform Comparison for Developer Tools (2026)' as a long-form comparison page
How: Write a 2,500+ word head-to-head covering Slack-native workflows, API/webhook depth, pricing, and engineering integrations. Include a structured comparison table, FAQ schema, and explicit 'Choose Plain if...' / 'Choose DevRev if...' verdict blocks that LLMs can extract as citations.
Win looks like: Page indexed within 14 days and cited in ≥3 of 10 test queries for 'Plain vs DevRev' across ChatGPT, Perplexity, and Google AI Overviews by day 30
Ship an AEO-optimized customer proof hub: 'How Vercel, Cursor, and Sanity Run Customer Support on Plain'
How: Consolidate existing case studies into one canonical page with per-company sections, quotes, metrics (response time, ticket volume, team size), and Q&A-formatted subheadings ('How does Vercel handle P1 incidents in Plain?'). Add Article + FAQ schema and internal links from the homepage and /customers.
Win looks like: Named-customer queries ('what support tool does Cursor use') return Plain as the answer in ≥4 of 5 AI engines by day 30
Fix the AEO ranking gap by adding structured data and canonical answer blocks to the top 20 existing pages
How: Audit /product, /pricing, /integrations, and blog pillar pages. Add Organization, Product, FAQPage, and HowTo schema. Rewrite the first 100 words of each page as a direct, extractable answer ('Plain is a Slack-native, API-first help desk built for B2B developer tools companies like...'). Fix any pages missing OpenGraph or where LLMs cite outdated info.
Win looks like: Plain AEO score moves from 41 → 55+ (measured via same audit methodology) by day 30
Set up a weekly AI-engine tracking dashboard for 30 ICP-specific queries
How: Define 30 queries mixing category ('best help desk for dev tools'), competitor ('Plain vs Zendesk'), and JTBD ('Slack-native support for API companies'). Test weekly across ChatGPT, Perplexity, Claude, and Google AI Overviews. Log citation presence, rank, and quoted snippets in a shared sheet.
Win looks like: Dashboard live by day 10; baseline established for all 30 queries by day 14
Phase 2: Category Capture
Days 31-60
Publish 'The Best Customer Support Platforms for B2B SaaS Startups (2026)' as a Plain-authored category guide
How: Write a genuinely useful 3,000-word listicle covering 8-10 tools (Plain, Zendesk, Intercom, DevRev, Pylon, Help Scout, Front, etc.) with honest tradeoffs. Position Plain as the pick for technical/PLG B2B, not the pick for everyone. Include a decision tree, pricing table, and 'best for' verdicts. This is the page LLMs will cite when someone asks the category question.
Win looks like: Ranks in top 3 organic results and cited in ≥50% of category-level AI queries by day 60
Publish 'Best Help Desk Software for Developer Tools Companies (2026): Why Jira and Zendesk Fall Short'
How: Attack the incumbent narrative directly. Cover why generic help desks fail technical teams (no Slack-native triage, weak API, no engineering handoff, ticket-model mismatch for PLG). Use real workflow examples from Cursor/Vercel/Sanity. Include comparison to Jira Service Management and Zendesk with specific feature gaps.
Win looks like: Cited when users ask 'why not Zendesk for developer tools' in ≥3 of 5 AI engines by day 60
Publish 'Help Desk Software for Technical B2B Teams: Slack-Native, API-First, and Engineering-Integrated (2026)' as the category-defining pillar
How: This is Plain's category-creation play. Define the 'engineering-integrated support' category with named criteria (Slack-native, API-first, git-style workflows, developer-friendly pricing). Include a scorecard rating all major tools against these criteria. Get 2-3 ICP customers to contribute quotes.
Win looks like: Category term 'engineering-integrated support' appears in ≥5 external AI-generated answers by day 60
Seed high-authority third-party citations by pitching 5 developer-audience publications and communities
How: Pitch guest posts or interviews to Console.dev, Latent Space, DevTools FM, Software Engineering Daily, and relevant Substacks. Angle: 'How B2B dev-tool companies are rebuilding customer support.' LLMs weight third-party mentions heavily - this is how Zendesk got to 78 points.
Win looks like: ≥3 published third-party pieces mentioning Plain in an ICP context by day 60
Phase 3: Compounding & Defense
Days 61-90
Ship 5 more 'Plain vs [competitor]' pages targeting the full comparison matrix
How: Publish Plain vs Zendesk, Plain vs Intercom, Plain vs Pylon, Plain vs Front, and Plain vs Help Scout - each following the DevRev page template. Each 2,000+ words with schema, verdict blocks, and honest 'when not to choose Plain' sections (LLMs reward balanced comparisons).
Win looks like: Plain cited in ≥60% of 'Plain vs X' queries across all 5 competitors by day 90
Launch a customer-story content engine: 2 new ICP case studies with AEO-first structure
How: Interview 2 more ICP customers (n8n, Framer, or similar). Structure each as Q&A with extractable answers: 'What made you switch from Zendesk?', 'How do engineers interact with tickets?', 'What's your response time?'. Publish with schema and cross-link from the customer hub built in Phase 1.
Win looks like: Named-customer AI queries expand from 3 companies to 5+ by day 90
Build a 'Plain for [use case]' programmatic page set for 6 developer-tool sub-verticals
How: Ship pages for: Plain for AI/LLM companies, Plain for infrastructure companies, Plain for API companies, Plain for dev tools, Plain for PLG SaaS, Plain for open source companies. Each with a specific customer example, workflow, and integration story. These capture long-tail ICP queries.
Win looks like: Long-tail ICP queries (e.g., 'support tool for AI companies') return Plain in ≥3 of 5 engines by day 90
Re-run the full AEO audit and close the gap to Zendesk
How: Re-score Plain, Zendesk, and Intercom against the original 78/51/41 methodology. Identify remaining gaps (likely: third-party citation volume, review-site presence on G2/Capterra, Reddit/HN mentions). Ship a targeted response plan for the top 3 remaining weaknesses.
Win looks like: Plain AEO score reaches 70+ and moves from #3 to #2 in AI engine visibility by day 90