Foglift
How It Works
Track brand mentions in AI search
Foglift shows whether ChatGPT, Perplexity, Google AI Overview, Gemini, and Claude mention your brand, cite your pages, and recommend competitors instead.
01
Run a Technical Audit
AI Readiness in 30 seconds. No signup required.
Enter any URL and Foglift checks whether AI search engines can crawl, parse, and cite the page. The Technical Audit returns an AI Readiness Score plus the specific fixes most likely to help the page become sourceable.
Checks meta tags, structured data, JSON-LD, Open Graph
Evaluates AI crawler access (robots.txt, sitemap)
Measures Core Web Vitals via Google PageSpeed
Ranks Technical Audit issues by impact
02
Measure AI Visibility
See what ChatGPT, Perplexity, Google AI Overview, Gemini, and Claude say.
Foglift queries real AI engines with prompts your customers actually ask. You see which engines mention your brand, whether they cite a source URL, where you appear in the answer, how the sentiment reads, and which competitors are recommended instead.
Live checks across ChatGPT, Perplexity, Google AI Overview, Gemini, Claude
Brand mention tracking with position and source URLs
Sentiment analysis (positive, neutral, negative)
Competitor visibility comparison
03
Fix & Monitor
Prioritized fixes. Continuous tracking.
Foglift turns missing mentions, weak citations, and competitor wins into prioritized recommendations. Free accounts measure all six AI Visibility tiers against Google AI Overview with weekly automated scans, plus manual checks any time. Paid plans add ChatGPT, Perplexity, Gemini, and Claude with faster cadence.
Recommendations ranked by prompt, engine, and page
Scheduled monitoring from daily to hourly by plan
Score change alerts via email, Slack, or webhook
Competitor trend tracking and alerts
Engine-by-engine visibility
AI search visibility is not one score from one model. Foglift measures how each engine retrieves, summarizes, cites, and ranks your brand.
ChatGPT
Brand mentions, list position, cited URLs, competitor recommendations, and answer language for buyer-intent prompts.
ChatGPT answers often blend training memory with web retrieval, so Foglift separates whether your brand is known from whether your current pages are cited.
Perplexity
Citation URLs, source diversity, competitor mentions, answer placement, and whether your page appears in the source set.
Perplexity is source-forward. Foglift treats source URLs as a first-class signal, not a secondary note.
Google AI Overview
On-demand visibility for every free account, source inclusion, direct-answer fit, and whether the page is eligible for Google-grounded summaries.
Google AI Overview is the free baseline because it ties AI answers to search-grounded retrieval and existing SEO infrastructure.
Gemini
Mention rate, sentiment, competitor set, and whether Gemini frames your category the same way your site does.
Gemini often expands the category definition before listing tools. Foglift checks whether your positioning survives that expansion.
Claude
Long-form answer inclusion, competitor ordering, sentiment, and whether Claude can extract the exact product language from your pages.
Claude responses tend to summarize evidence in longer sections, so clear entity identity and citation-ready paragraphs matter.
What Foglift measures
The dashboard separates mentions, citations, sentiment, and competitors so the next fix is concrete instead of vague.
| Signal | What it means | What you fix |
|---|---|---|
| Brand mentions | Whether an engine names your brand in the answer. | Add direct category language, product pages, comparison content, and third-party mentions. |
| AI citations | Whether the answer cites or links to a Foglift-controlled source URL. | Create sourceable pages with clear headings, tables, FAQ schema, and dated evidence. |
| Position | Where your brand appears when the answer lists multiple options. | Improve comparison pages, category pages, and proof points for high-intent prompts. |
| Sentiment | Whether the engine describes the brand positively, neutrally, or negatively. | Publish proof, address objections, and keep pricing and capabilities consistent. |
| Competitor mentions | Which competing domains win when your brand is absent. | Build comparison-ready content and earn mentions from the same sources engines already cite. |
Why multi-engine tracking matters
Foglift's research shows that AI citation behavior fragments by engine. A brand can be visible in one answer system and absent in another.
1,119
distinct cited domains
Foglift's Q2 2026 benchmark found that AI answers pull from a wide and fragmented source set.
61.7%
engine-exclusive top-25 domains
The same benchmark found most top source domains were top-25 sources in only one engine.
46/100
median AI Readiness Score
Foglift's Q2 2026 readiness study found most sites were technically strong but weak for AI extraction.
Check your AI Visibility
Start with a free Technical Audit, then monitor brand visibility in AI search when you are ready to track prompts over time.
Who uses Foglift
Built for teams that care about AI search visibility
Marketing Teams
No idea if AI assistants recommend your product or competitors
Daily visibility tracking across 5 AI engines with competitor alerts
Agencies
Clients asking about AI search and you have no answers
White-label reports + client portal showing AI Visibility metrics alongside SEO
Developers
Need to integrate AI visibility data into existing tools
REST API, CLI, MCP server, and webhooks on paid plans
Startups
Limited budget, need to punch above your weight in AI search
Free unlimited audits + $49/mo monitoring with all features
Works with your stack
Developer integrations start on Launch; Free includes web audits and weekly Google AI Overview monitoring.
REST API
Run Technical Audits and AI Visibility checks from your app.
CLI Scanner
Run foglift scan from CI, scripts, or your terminal.
MCP Server
Let Claude Code, Cursor, or Windsurf inspect recommendations.
Slack
Get scan results and alerts in Slack.
Webhooks
Push events to your own systems.
CI/CD
GitHub Action for automated checks.
Simple, transparent pricing
Free tier included. Paid plans start at $49/month.
Free
Technical Audits, weekly Google AI Overview checks, PDF reports
$49/mo
Daily multi-engine AI Visibility monitoring
$129/mo
Twice-daily checks, 10 brands, competitor reports
AI search tracking FAQ
Direct answers for the phrases buyers ask AI engines.
How does Foglift track brand mentions in AI search?
Foglift runs customer-intent prompts against AI engines, records whether your brand is mentioned, captures position and sentiment, and compares the answer against tracked competitors.
Which AI engines does Foglift monitor?
Foglift monitors ChatGPT, Perplexity, Google AI Overview, Gemini, and Claude. Free accounts measure all six AI Visibility tiers against Google AI Overview with weekly automated scans, plus manual checks any time. Paid plans add the other four engines and faster cadence.
What is the difference between a brand mention and an AI citation?
A brand mention means the answer names your brand. An AI citation means the answer also cites or links to a source URL, which is stronger evidence that the engine can retrieve and trust a specific page.
How is AI Visibility different from a Technical Audit?
A Technical Audit checks whether a page is ready to be crawled and cited. AI Visibility checks whether real engines actually mention, cite, and rank your brand for the prompts buyers use.
Related reading
Try AI Brand Check
See how AI engines talk about your brand, free with no signup.
All Features
Complete feature list for every plan.
Pricing
Free unlimited audits. Paid plans from $49/mo.
Foglift for Startups
AI visibility on a startup budget.
Developer Tools
API, CLI, MCP server, and CI/CD integration.
AI Search Monitoring
Track mentions, citations, competitors, and sentiment across AI engines.
What is GEO?
Complete guide to Generative Engine Optimization.