$0
to audit one public URL
Run unlimited single-page Technical Audits without signup or a credit card.
For marketing teams
AI search visibility software for marketing teams
Foglift gives marketing teams unlimited single-page Technical Audits, tracks five AI engines from $49 per month, and connects answer evidence with Search Console, crawler, referral, competitor, and recommendation workflows.
Comparing vendors first? Use the AI visibility software comparison. This page explains the operating workflow for a marketing team using Foglift.
5
engines from Launch
Monitor ChatGPT, Claude, Perplexity, Gemini, and Google AI Overview from $49 per month.
4
outcome layers kept separate
Report Google clicks, AI-answer citations, human referrals, and crawler fetches as distinct evidence.
The operating loop
Move from buyer question to measured outcome
One dashboard can hold the work without collapsing unlike metrics. Each stage keeps its source, denominator, page, prompt, engine, and date visible so the next action has an evidence trail.
01
Start with the questions buyers actually ask
Track category shortlists, product comparisons, alternatives, use cases, and objection questions. Prompt Discovery ranks demand-backed opportunities that a team can promote into monitoring.
02
Measure every engine on its own terms
Monitor ChatGPT, Claude, Perplexity, Gemini, and Google AI Overview. Review brand mentions, position, sentiment, competitors, and provider-returned citations without hiding a weak engine inside one blended total.
03
Turn evidence into the next fix
Recommendations connect answer evidence, technical findings, competitor pressure, source gaps, query fanouts, and Search Console demand. The decision record explains why the action is ranked and which page it targets.
04
Report the outcome in the right channel
Keep Google clicks, AI-answer citations, recognized human referrals, and crawler fetches separate. A fetch can explain retrieval behavior, but it never counts as a citation or a person visiting the site.
Team handoffs
Give every owner the evidence they need
Marketing teams rarely have one AI-search owner. Keep the shared question set and outcome definitions stable, then let each role work from the evidence that matches its job.
SEO lead
Connect Google demand to AI-answer visibility
Evidence: Search Console queries and pages, AI Visibility by engine, Technical Audits, and crawler access.
Product marketing
See how buyers compare the product
Evidence: Tracked comparison prompts, named competitors, answer position, sentiment, citations, and share of voice.
Content lead
Choose which page to create or strengthen
Evidence: Recommendations, content briefs, query fanouts, watched pages, and cited-source gaps.
Growth and marketing ops
Move evidence into the team workflow
Evidence: REST API, CLI, MCP, webhooks, exports, referral landing pages, and repeatable reporting.
Prompt design
Track questions tied to a buyer decision
Broad vanity prompts produce vague reports. Use the category, buyer, constraint, comparison, and use case that already appear in sales calls, Search Console, support conversations, and customer research.
Category shortlist
“Best AI search visibility software for a small marketing team”
Inspect: Which products appear, their answer position, and the sources supporting the recommendation.
Competitor displacement
“What are the best alternatives to our main competitor for mid-market teams”
Inspect: Whether your product enters the shortlist and which competitor pages or third-party sources win retrieval.
Problem-aware research
“How can a marketing team track brand mentions in ChatGPT and Google AI Overviews”
Inspect: Which capabilities the answer expects and whether your product or methodology page supplies them.
Plans
Choose by engine breadth, cadence, and team size
Start with the public page audit. Add five-engine monitoring when the team needs a repeatable view of buyer questions, competitors, citations, and changes over time.
| Plan | Price | Marketing-team boundary |
|---|---|---|
| Free | $0 | One brand, one team member, unlimited single-page Technical Audits, and active-use weekly Perplexity monitoring |
| Launch | $49/mo | Three brands and three team members, daily monitoring across five engines, full-site audits, API, CLI, and MCP access |
| Growth | $129/mo | Ten brands and ten team members, 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 |
Evidence contract
Keep retrieval, citation, click, and revenue claims honest
How AI Visibility is scored
Read the six-tier weights, 14-day evidence window, prompt eligibility, provider-error handling, and share-of-voice denominator.
Read the specificationHow crawler and referral evidence differs
Separate indexing, training, and live-answer fetches from recognized human visits that arrive through AI referral links.
Read the specificationHow search demand joins the workflow
Review Google and Bing query, page, click, impression, and position evidence beside the distinct AI-answer channel.
Read the specificationFAQ
AI visibility questions from marketing teams
What can a marketing team track in Foglift?
Foglift tracks configured buyer questions across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overview. Results include brand mentions, answer position, sentiment, competitors, and provider-returned citations when the engine exposes them. Search Console, crawler, and AI-referral data remain separate evidence layers.
How is Foglift different from a traditional SEO platform?
Traditional search reporting centers on rankings, impressions, clicks, and site health. Foglift adds answer-level monitoring, Technical Audits, AI crawler analytics, recognized AI referrals, and a prioritized fix queue. Its Search Console connection lets a team compare the channels without treating them as one metric.
Can Foglift compare our brand with competitors?
Yes. Competitor views compare presence, answer position, sentiment, and share of voice across the prompts and engines in the workspace. Source-gap evidence also shows which domains appear in answers where the tracked brand is absent, so the team can separate a page improvement from an earned-mention opportunity.
Does Foglift prove that a crawler fetch caused a citation or sale?
No. A crawler fetch shows that a recognized agent requested a page. A provider-returned citation shows that an answer linked to a source. A referral shows that a person clicked through from a recognized AI engine. Revenue attribution still depends on the team's analytics and CRM evidence.
Can a marketing team use Foglift without a developer?
Yes. The web product covers Technical Audits, prompt monitoring, recommendations, content briefs, competitors, sentiment, and reporting. Developer access begins on Launch for teams that also want the REST API, CLI, MCP connection, batch scans, or custom automation.
How much does Foglift cost for a marketing team?
Free includes unlimited single-page Technical Audits and active-use weekly Perplexity monitoring for one brand. Launch starts at $49/mo for three brands, three team members, and five-engine monitoring. Growth is $129/mo for ten brands, ten team members, and twice-daily monitoring. Enterprise pricing is Custom.
Start with the page behind your biggest buyer question
Audit one public URL for free. Add monitoring when your team needs repeatable evidence across prompts, engines, competitors, sources, and outcomes.