Does Floyi Track AI Answers as Well as Google Rankings?

Both, on one map. On demand, AIRS Analyzer reads a query across 9 AI engines and 2 SERPs, against the eight answer engines Profound tracks, and it returns stance, sentiment and an evidence quote per engine, not just a count. The honest split is in day-to-day tracking. Profound watches its eight around the clock, while Floyi's AI Authority follows AI Overviews, AI Mode, Gemini, and ChatGPT over time and sets them beside Top 10 and Top 20 organic rankings, share of voice, and up to 10 competitor domains on the same map. Profound measures nothing on Google, so you never see both sides in one number.

What Does Floyi Do With an AI Visibility Gap That Profound Can't?

It places the gap. AI Search Gaps adds the missing topics to your hierarchy with a suggested level and parent topic, so it arrives as a real topic with a content brief, the pages it should link to, and a score that updates once the page is live. In Profound the same finding becomes a project. When the project closes, so does the finding.

Does Floyi Write and Publish the Content Too?

Yes, the whole way through. The content brief becomes an article draft that keeps the audience, the brand rules and the links you planned, specialist passes check the facts and work your evidence in, the Content Editor scores coverage and page quality, and publishing goes to WordPress or GitHub, one page or in bulk. Profound Agents also write and publish, so the question isn't whether content comes out. It's whether anything decided this was the right page to write, and whether you can tell afterward if it worked.

Do You Still Need Profound Alongside Floyi?

Only if a live dashboard across eight answer engines is itself the deliverable, for a board report or a client retainer. That continuous breadth is the one thing Floyi does not match. For deciding what to publish and then writing it, measuring it and improving it, Floyi covers the analysis and everything after it. Running both means someone on your team moves findings across by hand, because nothing connects the two products.

Search and AI vs AI Only

Floyi vs Profound

Your buyers still use Google, so Floyi scores Google and AI answers on one map and turns every gap into a content brief.

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Last verified: September 2026

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Is Floyi or Profound Better for You?

Floyi covers both Google and AI engines. AIRS Analyzer runs your query through Google and Bing search results alongside 9 AI engines, so you see the pages that actually rank next to the answers quoting them. Profound only watches AI answer engines.

Most people still search on Google. They don't go straight to ChatGPT, and when they do, they come back to Google to check what it told them. Both are part of how someone decides now, so measuring one and ignoring the other tells you half the story.

Profound does track more answer engines over time, eight against Floyi's four, but that matters less than the number suggests. Real search behavior concentrates in AI Overviews, AI Mode, ChatGPT, and Gemini, so those are the four Floyi tracks. Counting the other four tells you nothing about the Google results your buyers are still reading. Floyi goes deeper on the query you care about instead: what each engine actually said about you, who else it named, which pages it cited, and the exact line that proves it.

That analysis lands on a four-level topical map built from your brand positioning, your buyer personas, research grounded in live Google Web and YouTube autocomplete, and clustering on the URLs that actually rank together. Every topic on it comes with a content brief, an article draft, the pages it should link to, and a score that covers Google and AI answers together. Publish, and the result comes back to the same map. Your rankings and coverage for that topic update, and Floyi tells you which topic to take next. A Profound project ends when the content ships, and what it learned stays in a dashboard where the next content brief can't use it.

Choose Floyi When

Your buyers still use Google, so tracking ChatGPT and calling it done isn't enough.
You want the brand, the personas and your own documents feeding the content brief, not just styling the output.
You want the map deciding where a new page goes, what it might cannibalize and which pages it links to.
After you publish, you want to know whether that page actually improved how you rank for the topic.

Choose Profound When

You need eight answer engines tracked continuously.
Answer engines are the whole job, and Google rankings aren't your problem to solve.
You want Aim, Profound's AI marketing agent, to spot opportunities weekly and hand them to its Agents, with someone else deciding where each page fits.
You want to build CMS-connected AEO automations with its integrations.

Floyi vs Profound: Key Differences

Floyi measures Google and AI answers on one map, and the topic you pick from it goes all the way through: a content brief, an article draft, a quality check, publishing, and then the score for that topic updates. That is AEO and GEO done through the whole pipeline, from the information architecture to the article draft, not as a score bolted onto the end of it. Profound covers the AI answers, with Aim and its Agents. Google, the map, and knowing where a page belongs on your site are somebody else's tool.

Floyi and Profound: capabilities and workflow differences
Capability	Floyi	Profound
How your content is organized	Every topic sits at one of four levels, Pillar, Hub, Branch, or Resource, in an information architecture built from what actually ranks. Each one knows its level, its parent and its siblings, and that is what tells a content brief which pages to link to and what your score is measured across.	Agents use visibility data to run configurable content workflows, from research through review and publishing. The thing you work on is a project or a prompt, not a page with a place in a structure.
Brand and audience	Brand Foundation holds positioning, USP, competitors, brand voice analyzed from your own writing samples, visual style, and Content Guide rules for terminology and compliance. Buyer personas add roles, pain points and objections. It's set once and inherited by research, maps, content briefs, article drafts, and images.	Brand Kit applies your voice, tone and messaging guidelines to what the Agents write, and Aim reads your connected knowledge bases when it prioritizes. That governs how the output sounds. Nothing sets positioning, personas and objections before the research starts, and nothing carries them into a map, because there is no map.
AI answer analysis	AIRS Analyzer runs an on-demand analysis of any query across 9 AI engines and 2 SERPs: AI Overviews, AI Mode, ChatGPT, OpenAI Web, Claude Web, Gemini, Bing Copilot, Grok, and Perplexity, next to Google and Bing. Brand and Entity Landscape pulls every brand, product, person, and publisher the answers name, ranks them by how many responding engines named each one, and records the stance each engine took, from recommended to criticized, with sentiment kept separate and a quote showing where each read came from. Your brand sits in that table as one row among them, not as a standalone verdict. AI citations are counted apart from organic rankings, with a Most-Cited URLs table and Citation Patterns that pair what's happening with what to do about it, and the report can become a content brief. That is Floyi's AEO: a finding becomes a topic on the map, not a line in a dashboard. Ongoing trends belong to the Topical Authority Scorecard, whose AI coverage includes AI Overviews, AI Mode, Gemini, and ChatGPT.	Answer Engine Insights, Prompt Volumes and Agent Analytics track visibility across ChatGPT, Perplexity, Claude, Gemini, Grok, Microsoft Copilot, DeepSeek, and Google AI Overviews, continuously, with coverage and tracking limits set by your plan. They really do watch more engines than Floyi, around the clock. What you don't get is a single query read across both SERPs beside those answers, a stance and sentiment per engine with the quote behind it, or citations separated from rankings.
Topic research	Generate topics and keywords from your Brand Foundation, buyer personas and core topic, grounded in live Google Web and YouTube autocomplete. AI Search Gaps then asks ChatGPT, Google Gemini and Google AI Mode what they recommend for your buyer personas and adds the topics your research is missing to the hierarchy, each with a suggested level and parent topic.	Answer Engine Insights and Prompt Volumes show which prompts matter and where your brand is absent from the answers. What comes out is a finding, not a page added to a plan.
SERP clustering	SERP-overlap clustering turns a keyword list into intent groups built from the URLs that actually rank together, then feeds those groups into the topical map. Each keyword carries search volume, CPC and competition, but the grouping comes from shared ranking URLs rather than from volume.	Prompt Volumes group the prompts people actually ask, which is not the same thing as grouping keywords by the pages that rank for them.
Internal links and anchor text	The map defines parent, sibling and subtopic relations, so every content brief carries internal-link targets with anchor text options. Write your own anchors or generate suggestions, and the Research tab tracks which links the article already uses.	Agents write and publish whole pages. There's no internal-link target or anchor text drawn from a topic hierarchy.
Site architecture	Site Architecture plans service, location, industry, feature, integration, and category pages across four site types with more than 40 page types. It generates the URL hierarchy, service and location matrices and LocalBusiness schema, then exports to Excel, CSV or Google Sheets.	Agents write pages based on what the AI answers are missing. Nothing plans out your service, location or product pages.
Knowledge Base	Upload your own documents, up to 2,000 on the Scale plan, organized into categories. Scope exactly which ones a content brief may draw on: all documents, a category, specific files, or none. Floyi grounds original angles in that evidence. When an angle needs proof you haven't supplied, the content brief flags a Blocked Opportunity and asks you for the data. Floyi won't invent the number.	Aim reads your connected knowledge bases when it prioritizes. You can't scope specific documents to ground a single content brief, so nothing stops the writing when the proof is missing.
What's in a content brief	Content briefs define the audience and the page goal, then read the top SERP competitors and the AI responses in full. They carry consensus claims with a source count on each, key entities, an information gain pass against your Knowledge Base that surfaces original angles, and internal-link targets with anchor options. Content type detection picks one of 24 dedicated outline templates, so your writer gets a real structure built for that format rather than a list of H2s. Blocked Opportunities flag the angles that still need your evidence.	Agents generate researched content briefs from live visibility data and your Brand Kit, with citation benchmarks and competitor references. The research reads answer engines, so there are no consensus claims with a source count from the ranking pages, no information gain pass against documents you scoped yourself, no internal-link targets from a hierarchy, and no content type template behind the outline.
Writing the article draft	Every decision in the content brief carries into the draft: the audience, the brand rules, the consensus claims, the original angle, and the internal-link targets. Writer and Editor agents write against the outline template for that content type, then Fact Checker, Web Research, Conversion Coach and Evidence Integrator passes run over the result before you check coverage and page quality in the Content Editor.	Agents produce content briefs and article drafts with citation benchmarks, competitor references and structured sections, then route them for human review. You build each workflow from steps that pull Profound data, prompt a model, fetch a page, or publish. You assemble the passes yourself, and nothing reads the finished page back against the content brief that produced it.
Scoring the page as you write	The live content score updates from 0 to 100 as you write, checking weighted topic and entity coverage, natural term usage, heading structure, AI chunkability, and reading ease. The AI Writing Assistant edits inline to simplify, expand, shorten, fix grammar or optimize, all in your brand voice. Behind it, the Term Coverage Heatmap is a matrix of term and entity frequency per source, across 6 top-ranking SERP competitors and 3 AI engines: Google AI Overview, AI Mode, and ChatGPT, so you can see the terms each engine used to build its answer, not only the ones your competitors used.	People on your team read the page and make the final call, and whichever checks you set up are the ones that run. There's no live score moving as you write, no term and entity frequency per competing source, and no separate scorecard judging the finished page on relevance, information gain and trust.
Judging the finished page	Use the Page Quality Scorecard to review relevance, content quality, information gain, next step, and trust and authorship. It cites passages from your article draft and checks whether you delivered the original contribution set out in the content brief.	Review steps are people reading the page. Nothing scores the finished article draft on information gain or trust, and nothing measures it against the content brief that produced it.
Schema markup and AI images	Auto-generates JSON-LD for Article, FAQ, HowTo, LocalBusiness, Organization, and BreadcrumbList with no AI credits. Entity schema connects the entities in your article to Wikipedia, Wikidata and Google Knowledge Graph identifiers. Brand-aligned AI images generate in the editor with suggested placements.	Agents publish through a connected CMS, so schema and images depend on what that CMS provides.
Checking pages you already published	Content Audit scans your live site against your topical map and tells you which pages to keep, improve, merge or delete, including the ones competing with each other and the topics you never covered. Organic Audit connects Google Search Console to the same map so you can see which topics earn clicks and which pages need a refresh.	Profound tracks how AI answers treat your brand. It never looks at the pages you already published to tell you which ones to keep, merge, fix or delete.
Competitor comparison	The Competitor Matrix shows you, topic by topic across the whole map, which competitors rank, at what positions, the exact URLs they rank with, and their AI search status for AI Overviews, AI Mode, Gemini, and ChatGPT. The Topical Authority Scorecard adds a share of voice leaderboard, domain rankings and 7-day to 1-year trends across up to 10 tracked competitor domains. Content Audit puts your map next to a competitor's in the same shape, or recolors one map to show who wins each topic.	Answer Engine Insights and Agent Analytics show how often competitors appear in AI answers and which sources those answers cite. The comparison covers answer engines only, so there's no organic ranking position or share of voice next to it.
What to work on next	The Topical Authority Scorecard tracks Content, Market and AI Authority on your map, with Top 10 and Top 20 rankings, a share of voice leaderboard, up to 10 tracked competitor domains, and 7-day to 1-year trends. Silo Analysis marks each topic area Leading, Contested or Trailing, and the Authority Planner turns that into what to work on next.	Aim scans Answer Engine Insights, prompt volumes and competitive data continuously, then turns the biggest gaps into projects with content briefs ready for its Agents to write. It picks prompts to answer, not pages to add to a site. There's no authority score across organic and AI, no Leading, Contested or Trailing read on a topic area, and no map for the finished work to report back into.
Publishing	Publish to WordPress or GitHub, single or in bulk, with SEO metadata and optional JSON-LD. GitHub covers Astro, Next.js, Hugo and other static builds with custom frontmatter. Scores, maps, content briefs, and article drafts also export to Google Docs, DOCX, XLSX, CSV, and PDF. WordPress status syncs back to update your coverage records.	Approved article drafts publish to your connected CMS or route to your team through Slack. Nothing publishes in bulk from a map, and no publishing status returns to a coverage record.

How Floyi Turns AI Search Findings Into Content

Find the Gap Across Both Halves of Search

Silo Analysis marks each topic area Leading, Contested or Trailing using organic rankings and AI answer coverage together, and the Authority Planner turns that into the next topic to work on. You aren't reading one dashboard for AI and a second one for Google.

Put the Gap on the Map

AI Search Gaps asks ChatGPT, Google Gemini and Google AI Mode what they recommend for your buyer personas, then adds what your research missed to the hierarchy with a suggested level and parent topic. The gap becomes a topic with a content brief waiting, not a line in a report.

Check the Page Before It Ships

The live score moves as you write, and the Page Quality Scorecard reads the finished article draft against the content brief, citing the passages it's judging. Publish, and you can see whether that topic actually improved.

Turn an AI Visibility Gap Into an Article Draft

Pick the topic using what Google and the AI answers show you, then take it through a content brief, an article draft and a quality check.

A Practical Workflow

In Floyi, open Silo Analysis to find a topic area where competitors lead in organic and AI answers alike, then read the Competitor Matrix for the topics driving it. Choose the priority and generate its content brief and article draft.

Check the sources and the page quality, then publish. Your rankings and coverage for that topic update on the same map, and Floyi points you at the next one. If you also run Profound, what it finds is one more thing to weigh when you pick.

See the AIRS Analyzer See Topical Authority See content briefs and article drafts

Floyi Topical Authority dashboard connecting coverage and competitive performance

Floyi vs Profound: Common Questions

Does Floyi Track AI Answers as Well as Google Rankings?
Both, on one map. On demand, AIRS Analyzer reads a query across 9 AI engines and 2 SERPs, against the eight answer engines Profound tracks, and it returns stance, sentiment and an evidence quote per engine, not just a count. The honest split is in day-to-day tracking. Profound watches its eight around the clock, while Floyi's AI Authority follows AI Overviews, AI Mode, Gemini, and ChatGPT over time and sets them beside Top 10 and Top 20 organic rankings, share of voice, and up to 10 competitor domains on the same map. Profound measures nothing on Google, so you never see both sides in one number.
What Does Floyi Do With an AI Visibility Gap That Profound Can't?
It places the gap. AI Search Gaps adds the missing topics to your hierarchy with a suggested level and parent topic, so it arrives as a real topic with a content brief, the pages it should link to, and a score that updates once the page is live. In Profound the same finding becomes a project. When the project closes, so does the finding.
Does Floyi Write and Publish the Content Too?
Yes, the whole way through. The content brief becomes an article draft that keeps the audience, the brand rules and the links you planned, specialist passes check the facts and work your evidence in, the Content Editor scores coverage and page quality, and publishing goes to WordPress or GitHub, one page or in bulk. Profound Agents also write and publish, so the question isn't whether content comes out. It's whether anything decided this was the right page to write, and whether you can tell afterward if it worked.
Do You Still Need Profound Alongside Floyi?
Only if a live dashboard across eight answer engines is itself the deliverable, for a board report or a client retainer. That continuous breadth is the one thing Floyi does not match. For deciding what to publish and then writing it, measuring it and improving it, Floyi covers the analysis and everything after it. Running both means someone on your team moves findings across by hand, because nothing connects the two products.

Turn AI Search Findings Into Content Priorities

Sources for These Profound Capabilities

Every Profound capability on this page was checked against its own documentation and product pages in September 2026. Features and plan limits change, so confirm the current details with the vendor.

Profound: Agents documentation
Profound: brand context and content creation
Profound: Aim
Profound: monitored answer engines

The Rest of the Closed Loop

Most tools have a brand kit, applied as an input at the moment something gets written. In Floyi, Brand Foundation and the Knowledge Base are the source everything else reads from, so topical research, the map, content briefs, article drafts, images, and the authority score all work from the same positioning, personas, rules, and evidence. That's the loop, and it's the part a feature-by-feature table can't show.

One Brand Foundation

Positioning, voice, Content Guide rules, and buyer personas are set once, then inherited by research, maps, content briefs, article drafts, and images without being restated.

Workspaces and Teams

A separate brand workspace per client, with role-based access and a shared credit pool across the team.

Knowledge Base

Up to 2,000 documents on the Scale plan, organized by category and scoped per content brief, so original angles are grounded in your evidence instead of invented.

Local and Multi-Location

Content briefs and article drafts built for service pages, location pages and service-area landing pages, with NAP consistency and local schema.

Developer API and MCP Server

A REST API across the whole pipeline, plus an MCP server so an AI assistant drives the real Floyi rather than a copy of it.

Client-Ready Exports

Authority scores, coverage data, maps, content briefs, and article drafts export to XLSX, DOCX, CSV, PDF, and Google Docs.

The Floyi Tools in This Comparison

Each one sits behind a row in the table above, from topical mapping through publishing.

Topical Maps

Turn SERP clusters into a four-level topical map that doubles as your content plan.

Briefs & Drafts

Turn any topic into a SERP-grounded content brief and a writer-ready article draft.

Content Plans

Turn your topical map into a ranked publishing queue, with an owner for each topic.

Topical Authority

Track your Topical Authority Score, coverage, and presence in AI Overviews, AI Mode, Gemini, and ChatGPT.

Content Editor & Optimizer

Real-time content scoring, page quality review, competitor benchmarking, and term coverage.

AI Writing Assistant

Edit inline with SEO entity guidance, grammar fixes, and rewrite suggestions.

Topical Audit

Reverse-engineer any website's topical structure and find its authority gaps.

Site Architecture

Plan hundreds of pages at once, with a clean URL hierarchy for every page type.

Compare Floyi With Other Tools

See how Floyi compares with other SEO, content optimization and AI search platforms.

Turn AI Visibility Gaps Into Content Priorities

Find the topic area that needs work, build the content brief and article draft and measure the result across search and AI search.

Build from the gap