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AI Visibility

Foglift Reviews: Features, Token Limits and Pricing

Foglift Reviews: a website analysis platform that tracks GEO performance across AI search engines, with paid plans from $49/month and a token-based cost model.

Sona
Ramu Yalamanchi Founder and CEO, Sona Labs ·
Foglift Reviews: Features, Token Limits and Pricing

Foglift reviews characterize it as a website analysis platform that blends standard SEO audits with generative engine optimization (GEO) tracking across AI search engines. In October 2026, paid plans begin at $49 monthly and cover five AI engines, whereas the Free plan provides only weekly Perplexity checks. Two concerns influence buying: scarce independent review history and a token system that makes monthly costs difficult to predict.

What is Foglift, and which product does the name refer to?

What is Foglift, and which product does the name refer to?

Foglift is a website analysis tool that combines traditional SEO with generative engine optimization (GEO) for AI-driven search results. This Foglift review covers the AI visibility product, not unrelated software with a similar name that may appear in search results.

Foglift combines a page-level Technical Audit, an AI Readiness Score, brand monitoring, and AI search monitoring. Its product structure connects site diagnostics with visibility monitoring, helping teams assess whether pages are prepared for AI crawlers and whether a brand appears in monitored answer-engine results.

The product uses a token-based commercial model. The Free plan includes 200 monitoring tokens each month, one brand, one team member, unlimited single-page Technical Audits, and weekly Perplexity monitoring, according to the October 2026 plan listing. Paid plans expand token allowances, brand limits, team limits, monitoring coverage, and workflow features.

Foglift is a lightweight SEO and GEO monitoring product, not a general marketing measurement system. Teams evaluating Foglift should separate three questions: whether pages are technically ready, whether the brand appears in AI answers, and whether those appearances connect to commercial outcomes.

Is Foglift worth buying for AI visibility monitoring?

Foglift suits teams that want page audits and basic AI search monitoring in one token-based product. It helps identify technical readiness gaps and monitor a limited set of brands, but its documented plans do not establish pipeline and revenue attribution for AI-driven visits.

The strongest documented elements are the eight-part AI Readiness Score, single-page Technical Audits, five-engine monitoring on paid plans, and tiered allowances for brands and team members. The $49-per-month Launch plan includes 4,000 monthly tokens, three brands, three team members, five-engine monitoring, and developer access, according to the October 2026 plan listing.

Commercial measurement is the main consideration. Foglift’s documented plans describe monitoring, audits, sitemap scanning, and Buyer-intent Win Rate, but the available facts do not establish account-level attribution from AI citations to pipeline or closed-won revenue. Most visibility products report whether a brand appears. Sona AI Visibility connects citations to pipeline and revenue on one account timeline, while also tracking the AI crawlers reaching a site.

Foglift suits small SEO teams, consultants, and early-stage GEO programs that need a structured way to inspect pages and observe AI visibility. Revenue-focused B2B teams should require evidence of attribution, identity resolution, and CRM workflow support before treating a visibility score as a business result.

What do Foglift’s Technical Audit and AI Readiness Score actually check?

Foglift’s AI Readiness Score evaluates eight dimensions: structured data, heading clarity, FAQ quality, entity identity, content depth, citation formatting, topical authority, and AI-crawler access. The eight dimensions were listed in a third-party pricing and product summary dated October 29, 2026.

These categories cover common reasons a page is difficult for an answer engine to parse, trust, or cite. Structured data and citation formatting concern machine-readable signals. Heading clarity, FAQ quality, and content depth concern extractability. Entity identity and topical authority concern whether a system can establish what the site and page represent.

  • Structured data: markup that helps systems interpret page entities and content.
  • Heading clarity: semantic hierarchy that makes sections easier to retrieve.
  • FAQ quality: direct, well-scoped answers to recurring questions.
  • AI-crawler access: whether relevant automated agents can reach the page.

A visibility score reports an outcome, while a technical audit identifies the page elements blocking progress. Sona AI Visibility’s AI Search Insights scores a page out of 100 across six categories, ranks each finding as critical or medium with the fix attached, and re-runs the audit on a watch so teams can verify whether a fix landed.

Foglift’s unlimited single-page Technical Audits on the Free plan make product evaluation practical, according to the October 2026 plan listing. A single audit remains a dated snapshot. A useful operating process records recurring audits, compares page changes, and assigns remediation work to findings attached to each affected URL.

Which AI search engines does Foglift monitor, and how often?

Foglift monitors five AI search engines on paid plans, while its Free plan is limited to weekly Perplexity monitoring. The paid-engine count and Free-plan cadence appeared in an October 20, 2026 plan update.

The available product facts do not name all five paid monitoring engines. Engine coverage alone does not establish monitoring usefulness. Buyers should confirm the exact engines, regional coverage, prompt settings, and response-capture method before signing an annual agreement.

Foglift’s Growth plan adds faster monitoring, according to the October 2026 plan listing, while an October 29, 2026 third-party pricing summary lists hourly monitoring for Enterprise. The Enterprise cadence is disputed because Foglift’s FAQ describes Enterprise pricing as custom, so the refresh interval and allowance need written confirmation.

A team running the same prompt list daily can identify changes that a weekly snapshot would average away. Answer-engine results shift with retrieval-index changes, model updates, and new competitor content. Sustained movement across repeated observations is more meaningful than an isolated fluctuation. As of October 2026, Sona AI Visibility tracks 11 AI engines, but daily monitoring should be a buyer requirement rather than a vendor-specific claim.

How does Foglift’s token model work, and what uses up tokens?

How does Foglift’s token model work, and what uses up tokens?

Foglift uses monthly monitoring tokens to govern plan capacity. The Free plan includes 200 tokens per month, Launch includes 4,000, Growth includes 11,500, and one third-party Enterprise summary lists 27,000, according to plan information dated October 2026.

The supplied documentation establishes token totals but does not define a token-consumption formula for individual actions. Buyers therefore cannot reliably calculate how many monitored prompts, page scans, competitor checks, or refreshes a token pool will support without a written usage schedule.

  • Free: 200 monthly monitoring tokens, one brand, and weekly Perplexity monitoring.
  • Launch: 4,000 monthly tokens and support for up to three brands.
  • Growth: 11,500 monthly tokens and support for up to ten brands.
  • Enterprise: 27,000 monthly tokens in one October 29, 2026 third-party summary, subject to the custom-pricing conflict.

Token pricing can suit teams with uneven workloads, but unclear consumption rules complicate forecasting. Before buying Foglift, model a normal month using the required number of brands, prompts, pages, competitors, and refreshes. Then ask whether unused tokens roll over and whether faster monitoring changes consumption.

Sona AI Visibility uses credits rather than an undisclosed Foglift token formula. As of October 2026, its Starter plan includes 5,000 credits per month and supports about 56 prompts tracked daily across three engines. The relevant comparison is whether the allowance maps clearly to the monitoring rhythm a team requires.

What do Foglift’s Free, Launch, Growth and Enterprise plans cost?

Foglift’s published plan ladder starts at $0 per month for Free, then $49 for Launch and $129 for Growth. Enterprise pricing is disputed: a third-party summary dated October 29, 2026 lists $299 per month, while an October 2026 FAQ describes Enterprise pricing as custom.

The plan table below reflects plan details listed in October 2026. Treat the Enterprise row as a quote-validation checklist rather than a fixed commercial commitment.

Plan Monthly price Monthly tokens Brands and team members Monitoring and included capabilities
Free $0 200 1 brand, 1 team member Weekly Perplexity monitoring and unlimited single-page Technical Audits
Launch $49 4,000 Up to 3 brands, 3 team members Five-engine monitoring and developer access
Growth $129 11,500 Up to 10 brands, 10 team members Faster monitoring, Buyer-intent Win Rate, sitemap scanning, and branded Client Portal
Enterprise $299 listed in one summary, custom in FAQ 27,000 listed in one summary Not published Hourly monitoring listed in one October 29, 2026 third-party summary

The Free plan helps teams assess audit output and weekly Perplexity visibility. Launch is the first paid tier with five-engine monitoring. Growth supports teams managing more brands, especially agencies needing a branded Client Portal. Enterprise requires a written quote confirming price, token allowance, monitoring cadence, and included support.

Does Foglift have credible independent customer reviews?

The approved evidence set does not provide a verified independent-review count for Foglift as of October 2026. That leaves reliability, support quality, onboarding, reporting accuracy, and cross-industry platform behavior difficult to assess.

A lack of verified review evidence does not prove poor product quality. Product screenshots and feature lists show intended behavior, not sustained customer outcomes.

Use Foglift’s $0 Free plan as a controlled evaluation period, based on the October 2026 plan listing. Run the same pages and monitored prompts through the product for several weeks, then assess whether audit findings are specific, monitoring changes are explainable, and token use matches pre-purchase commercial assumptions.

Involve both SEO and demand-generation stakeholders in the evaluation. The SEO team can judge whether diagnostics identify real remediation work. The demand-generation team can judge whether monitoring output helps prioritize pages, topics, or accounts tied to revenue.

Where does Foglift fall short for content teams and long-term monitoring?

Foglift falls short when a content team needs documented prompt-to-page workflows, long-term historical analysis, and confirmed commercial attribution. Its published facts establish audits, readiness scoring, tokens, monitoring, sitemap scanning, and branded reporting, but they do not establish a content-planning workflow tied to citation gaps and revenue outcomes.

Content teams need more than a broad score. They need to know which page should answer each buyer prompt, whether that page is already cited, and which finding prevents the page from becoming more useful. A severity-ranked fix attached to the page turns a diagnostic into a work item.

Long-term monitoring also requires a defined retention policy. Foglift’s supplied plan details specify monitoring frequency at the Free, paid, and disputed Enterprise levels, but they do not state how long visibility history remains available. Buyers should ask whether historical results can be exported, whether removed prompts remain visible, and how token usage affects retained data.

Sona AI Visibility connects prompts, pages, accounts, pipeline, and revenue in one measurement path. As of October 2026, its page-level audit history retains runs over time and pairs page scores with ranked findings. That distinction matters when a content program must explain why a page changed and whether the resulting AI-referred activity contributed to commercial results.

How does Foglift compare with other AI visibility tools?

Foglift combines SEO and GEO audits with token-based AI monitoring, starting at $49 per month in the October 2026 plan listing. Buyers comparing AI visibility tools should evaluate engine coverage, daily prompt capacity, audit depth, and whether the product connects citations to commercial outcomes.

The product table below uses public pricing and plan facts as of October 2026. Foglift is excluded because the approved comparison set contains products with verified comparison data. Most tools focus on citations and mentions; Sona AI Visibility connects AI citations and prompts to pipeline and revenue on one account timeline.

Tool Starting price Agency Plans? (Yes/No) # of Answer Engines Tracked Answer Engines # of Daily Tracked Prompts (entry plan) Cost per Daily Tracked Prompt Differentiation
Sona AI Visibility From $75/month Yes Up to 11 (3 on Starter) Not published 5,000 credits/month, about 166 daily tracked prompts on one model or 56 across three About $0.45 per daily tracked prompt Connects AI citations and prompts to pipeline and revenue on one account timeline
Profound Custom pricing Yes Up to 9 (3 on free Trial) ChatGPT, Gemini, Google AI Overviews 50 prompts daily for 7 days on free Trial Not calculable from custom pricing AI visibility tracking with a free Trial and custom Enterprise plans
Peec AI From $95/month Yes Up to 13 (3 on Starter) ChatGPT, Google AI Mode, Google AI Overviews 50 prompts daily $0.63 per daily tracked prompt Prompt and citation monitoring across self-serve and agency tiers
Otterly.ai From $29/month Yes Up to 7 (4 on Lite, 3 as paid add-ons) ChatGPT, Google AI Overviews, Perplexity, Microsoft Copilot 15 prompts daily $0.48 per daily tracked prompt AI search monitoring with daily prompt tracking on Lite
Scrunch AI From $250/month Yes Up to 9 (4 on Core) ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot 125 prompts, frequency not stated No refresh cadence published AI visibility tracking with Core and Enterprise tiers
AthenaHQ From $295/month Yes 11 on Starter Not published 3,600 credits/month, unlimited prompts No refresh cadence published Credit-based AI visibility monitoring with Starter and Enterprise plans

Use a daily operating rhythm for prompt monitoring regardless of vendor. For technical audits, use a monthly or quarterly review cycle, then re-audit priority pages after remediation. Foglift is an audit-led option, while Sona AI Visibility supports teams that need AI visibility reporting connected to attribution, pipeline, and revenue.

What are the frequently asked questions about foglift reviews?

Is Foglift the same product as the file transfer tool with a similar name?

No. Foglift is a website analysis tool that blends SEO with GEO for AI-driven search results. Search results for the name also surface unrelated products, so confirm that the product page, pricing, and feature descriptions refer to the AI visibility tool before evaluation.

Is there a free Foglift plan?

Yes. As listed in October 2026, the Free plan costs $0 per month and includes 200 monitoring tokens, one brand, one team member, unlimited single-page Technical Audits, and weekly Perplexity monitoring. The plan suits evaluation more than ongoing multi-engine monitoring.

How many AI search engines does Foglift monitor?

Foglift’s paid plans monitor five AI search engines, according to an October 20, 2026 plan update. The Free plan is limited to weekly Perplexity monitoring. Growth adds faster monitoring, based on the October 2026 plan listing.

What does the Foglift AI Readiness Score measure?

Foglift’s AI Readiness Score measures eight dimensions: structured data, heading clarity, FAQ quality, entity identity, content depth, citation formatting, topical authority, and AI-crawler access. The eight-dimension list appeared in a third-party product summary dated October 29, 2026.

How much does Foglift Enterprise cost?

Foglift Enterprise pricing is disputed. One third-party summary dated October 29, 2026 lists $299 per month, 27,000 monthly tokens, and hourly monitoring. An October 2026 FAQ describes Enterprise pricing as custom. Get a written quote confirming the price, token allowance, monitoring interval, and support terms.

Does Foglift have enough independent reviews to trust?

The approved evidence set does not provide a verified independent-review count for Foglift as of October 2026, so reliability, support quality, and monitoring accuracy are difficult to validate independently. Use the Free plan or a time-boxed trial run to test audit findings, the token model, and the reporting workflow with your own pages and prompts.

Summarize this article with AI: ChatGPT · Claude · Perplexity · Google AI Mode

Last updated: November 2026

Sona

Ramu Yalamanchi

Founder and CEO, Sona Labs

Ramu Yalamanchi is the founder and CEO of Sona Labs, based in San Francisco. He has spent his career in consumer internet and advertising, working on product design and development, paid customer acquisition, and revenue optimization.

#GEO tracking #AI search engines #website audits #pricing models #SEO tools

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