$0
single-page audits
Run unlimited Technical Audits without signup or a credit card.
For SaaS teams
AI search monitoring for SaaS teams
Foglift gives SaaS teams unlimited single-page Technical Audits, active-use weekly Perplexity monitoring on Free, and five-engine monitoring plus API, CLI, and MCP access from $49 per month.
Comparing vendors for a B2B software company? Use the B2B SaaS GEO and AEO buyer guide. This page documents the operating workflow for a SaaS team using Foglift.
5
engines from Launch
Track ChatGPT, Claude, Perplexity, Gemini, and Google AI Overview.
100
pages per full-site audit
Select up to 100 pages in a weekly full-site audit on Launch and above.
3
developer interfaces
Use the REST API, CLI, and MCP connection from Launch.
The SaaS operating loop
Move from buyer question to a measured fix
Product facts change with every release. Keep the pages, prompts, answer evidence, and action queue connected so the team can see which change moved which channel.
01
Audit the pages buyers need to verify
Run Technical Audits on product, pricing, integration, comparison, security, and documentation pages. Full-site audits on Launch and above can inspect up to 100 selected pages each week.
02
Track buyer questions across five engines
Monitor category shortlists, alternatives, comparisons, use cases, pricing, and integration questions across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overview from Launch.
03
Inspect who won and why
Review mentions, answer position, sentiment, competitors, and provider-returned citations. Source gaps distinguish a page that needs stronger facts from a third-party source where the product needs an earned evaluation.
04
Ship a fix and measure the right outcome
Turn technical findings and answer evidence into a prioritized action. Keep Google clicks, AI citations, human referrals, and crawler fetches separate so a retrieval event never masquerades as a visit.
Buyer-question design
Monitor the questions behind a SaaS shortlist
Use the buyer's category, team size, use case, integration, and pricing constraint. Prompt Discovery can rank demand-backed opportunities and promote selected questions into tracking.
Category shortlist
“Best incident response platform for a 20-person engineering team”
Inspect: Which vendors appear, their answer position, and the sources supporting the shortlist.
Competitor comparison
“Product A vs Product B for usage-based billing”
Inspect: Whether the answer states current capabilities, plan boundaries, and meaningful tradeoffs.
Integration check
“Does Product A work with our data warehouse and support webhooks”
Inspect: Which product or documentation page the engine retrieves and whether its facts are current.
Outcome evidence
Keep four channels separate
A page can rank in Google, appear in an AI answer, receive crawler traffic, and earn human visits at different rates. Each layer answers a different question and needs its own denominator.
Google demand
Queries, pages, impressions, clicks, CTR, and position
Search Console shows which buyer language already reaches the site and which page Google selects.
AI answers
Mentions, position, sentiment, competitors, and citations
Each engine stays separate because a strong Perplexity result cannot stand in for ChatGPT or Google AI Overview.
Human visits
Recognized AI referrals by engine and landing page
A referral records a person who clicked through from an AI answer and reached the site.
Crawler behavior
Training, indexing, mixed, and live-answer fetches
A fetch explains retrieval behavior. It does not prove that an answer cited the page or sent a person.
Plans
Choose by team size, engine breadth, and cadence
A small SaaS team can start with the public audit and active-use weekly Perplexity monitoring. Add Launch when the team needs five engines, daily cadence, full-site coverage, or developer delivery.
| Plan | Price | SaaS-team boundary |
|---|---|---|
| Free | $0 | One brand, one team member, 200 monthly tokens, unlimited single-page Technical Audits, and active-use weekly Perplexity monitoring |
| Launch | $49/mo | Three brands, three team members, 4,000 monthly tokens, daily five-engine monitoring, weekly full-site audits, API, CLI, MCP, and batch access |
| Growth | $129/mo | Ten brands, ten team members, 11,500 monthly tokens, twice-daily monitoring, Buyer-intent Win Rate, and a branded read-only Client Portal |
| Enterprise | Custom | Hourly monitoring, effectively unlimited brand and team capacity, full white-label delivery, and custom allowances |
Product specifications
Verify how each part of the loop works
Technical Audit methodology
Review the five reported dimensions, page-scoped AI Readiness, saved history, and report boundaries.
Read the specificationAI Visibility scoring
Read the six-tier weights, 14-day evidence window, prompt eligibility, and provider-error handling.
Read the specificationCompetitor monitoring
See how answer position, mention rate, sentiment, share of voice, and evidence drill-down are compared.
Read the specificationRecommendation ranking
Inspect how technical findings, answer evidence, source gaps, and Search Console demand become a fix queue.
Read the specificationCrawler and referral analytics
Separate training, indexing, and live-answer fetches from recognized human visits arriving from AI engines.
Read the specificationAPI, CLI, and MCP
Verify authentication, interfaces, daily limits, examples, and the Launch plan boundary for developer access.
Read the specificationFAQ
AI search monitoring questions from SaaS teams
What does Foglift track for a SaaS company?
Foglift tracks configured buyer questions across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overview from Launch. Results include brand mentions, answer position, sentiment, competitors, and provider-returned citations when the engine exposes them. Technical Audits, Search Console, crawler, and AI-referral data provide separate evidence layers.
How can a small SaaS team start for free?
Run unlimited single-page Technical Audits without signup or a credit card. A Free account adds active-use weekly Perplexity monitoring for one brand and one team member. Five-engine monitoring and developer access begin on Launch at $49 per month.
Can Foglift connect to a SaaS team's developer workflow?
Yes. Launch and higher plans include REST API, CLI, MCP, webhooks, and batch scanning. Teams can read visibility evidence from scripts and AI assistants without replacing the web product's audit, recommendation, and reporting workflows.
Does Foglift guarantee that a SaaS product will be recommended by AI?
No. Foglift measures what supported engines return, audits pages, identifies source and competitor gaps, and prioritizes work. Recommendation systems vary by engine, prompt, location, and time, so repeatable measurement is the honest way to assess movement.
How is AI search monitoring different from traditional rank tracking?
Traditional rank tracking measures ordered search listings. AI search monitoring records generated answers, brand presence, recommendation position, sentiment, competitors, and cited sources. Foglift keeps those answer signals beside Search Console evidence without blending the two channels into one score.
How much does Foglift cost for a SaaS team?
Free includes unlimited single-page Technical Audits and active-use weekly Perplexity monitoring. Launch starts at $49/mo for three brands, three members, five-engine monitoring, weekly full-site audits, API, CLI, and MCP access. Growth is $129/mo. Enterprise pricing is Custom.
Start with the page behind your biggest buyer question
Audit one public URL for free. Add monitoring when the team needs repeatable evidence across buyer prompts, engines, competitors, sources, and outcomes.