Inception Agents
SaaS
The evaluation already happened. Were you in it?
Before a prospect hits your pricing page, an AI agent has already compared you to five competitors. It synthesized your docs, reviews, and pricing into a recommendation. That recommendation shaped the entire sales cycle.
B2B buyers prefer GenAI for research
of tech buyers discover via AI chatbots
in AI-handled B2B transactions by 2028
cited research interaction (Forrester)
The invisible evaluation
Hours of research happen before the first click
A developer asks Claude to compare authentication services. A CTO asks Perplexity to evaluate project management tools. A procurement team asks ChatGPT to shortlist CRM vendors.
In each case, the agent reads your documentation, your competitors' documentation, third-party reviews, pricing pages, and comparison sites. It synthesizes everything into a recommendation in seconds. By the time the buyer reaches your site, they already have an opinion.
That opinion was formed by what the agent could find, parse, and understand. If your documentation was harder to parse than a competitor's, you started at a disadvantage.
What an agent does in 30 seconds
Reads your documentation, API reference, and pricing page
Does the same for 3-5 competitors
Checks G2, Capterra, and Reddit for sentiment
Synthesizes a ranked recommendation with reasoning
Buyer arrives at your site with a pre-formed opinion
What agents evaluate
AI agents assess your SaaS product on five dimensions. The vendor that scores highest across all five earns the recommendation.
Can they find clear answers?
Agents look for direct, unambiguous answers to buyer questions. Buried feature descriptions, marketing-heavy copy, and vague positioning reduce your score.
Is pricing transparent?
Opaque pricing forces the agent to estimate or exclude you. Clear pricing pages with plan comparisons give agents the data they need to include you.
Do docs show integration depth?
API documentation, SDK support, and integration guides signal product maturity. Agents weigh technical depth when evaluating SaaS for developer-led buying.
Are trust signals structured?
SOC 2, GDPR, uptime SLAs, and customer counts need to be in machine-readable format. Agents parse structured data before reading prose.
Is competitive positioning honest?
Agents cross-reference your claims against competitor data. Balanced comparisons that acknowledge trade-offs build trust. Inflated claims get flagged.
Are limitations documented?
Agents treat documented limitations as a positive trust signal. Products that acknowledge what they do not do well are more likely to be recommended for what they do.
Intent-Driven Positioning
Your Intent Graph reveals the evaluation criteria that matter most — the features, integrations, and pricing dimensions agents actually weigh when recommending SaaS products.
AI Agent for SaaS
Your Inception Agent ensures every AI evaluation gets complete, structured data — docs, APIs, pricing, integrations, and competitive positioning in one response.
The documentation gap
Your docs were written for humans. Agents need something different.
Technical documentation, feature pages, and pricing tables are designed for human readers who browse, scan, and infer context. AI agents process information differently. They need structured, machine-readable content with explicit relationships and clear data hierarchies.
The gap between human-readable docs and agent-readable docs is where recommendations are lost. A competitor with clearer structured data will be recommended over a better product with poorly organized information.
llms.txt generation
Auto-generate and maintain machine-readable content summaries from your existing docs, API reference, and marketing pages.
Structured data layer
JSON-LD with SoftwareApplication schema, feature inventories, pricing structures, and integration matrices — all generated from your existing content.
Agent query endpoints
Dedicated GET endpoints that serve focused, pre-computed responses to common agent questions about your product.
Edge middleware
One npm install for Vercel, Cloudflare Workers, or Express. Detects agent traffic and serves optimized content at your application layer.
See how you rank
Before you can improve your position, you need to know where you stand. Our visibility monitoring shows you exactly how AI agents see your product compared to competitors.
A composite score measuring how well agents can discover, parse, and evaluate your product across all major AI platforms.
Track how often your product appears in AI agent responses compared to competitors for your key categories and use cases.
Side-by-side comparison of your agent-readability against direct competitors. See where you lead and where you fall behind.
Intent Graph
Track what features drive agent recommendations in your category.
When a CTO asks Claude to compare CRM platforms, the agent evaluates features, integrations, and pricing across five competitors. Your Intent Graph captures every dimension of that evaluation — revealing your competitive blind spots.
Learn more →SaaS Intent Distribution
SaaS Agent
AI Agent
When agents evaluate your SaaS, your agent ensures they get the full picture.
SaaS evaluations happen fast. An AI agent can compare five platforms in seconds. Your Inception Agent ensures the comparison data is complete, current, and positioned to win — across docs, pricing, integrations, and reviews.
Learn more →Intent Targeted Re-activation
The CTO who asked Claude to compare CRMs? Your intent-targeted ad just reached them.
The buying committee is forming. An agent just evaluated your platform favorably. Now your intent-targeted re-activation reaches the decision-maker — reinforcing the agent's recommendation before the shortlist is finalized.
Learn more →SaaS Re-activation
Claude evaluation of CRM platforms
Intent: enterprise plan, API-first, Salesforce integration
Ad: "See why teams switch to [Your Product]"
Demo signup — full attribution
Shape how AI agents evaluate your SaaS.
See your AI visibility score and start optimizing today.