See when AI recommends a competitor over your SaaS
Answer Radar puts your buyers' real questions to ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews.
Inspect which competitors get recommended and the sources each answer cites. Bring that evidence into Claude or ChatGPT to plan your content changes.
Re-measure after publishing to see whether recommendations changed.
Google AI OverviewsA buyer asks
“What is the best tool for competitor and demand intelligence?”
Lists you 2nd of 5
Cited
Top pick for SaaS
Cited
CapterraCited, not ranked
Cited
TrustradiusNames Crayon, Klue
Cited
Trusted by 10k+ founders, growth teams, and agencies
Webflow
Typeform
Miro
Mixpanel
Hotjar
Buffer
Hootsuite
Coda
Loom
Linear
Brevo
Brex
Gusto
Retool
PostHog
Algolia
Sentry
ClerkHow it works
From buying question to a measured fix
A loop rather than a launch. Every fix you ship goes back through the measurement that found it.
Set up your project
Add your domain and competitors, then approve the buying questions worth measuring. Answer Radar drafts them from your own Search Console demand, so the list starts from queries buyers already typed rather than a guess at your market.
- Grounded in your own search demand
- Nothing runs until you approve it
Competitors
Engines
Proposed questions
seeded from 25 queries“Best competitor tracking tool?”
892 impressions · transactional
“Cheapest way to track rival pricing?”
610 impressions · transactional
“Which tool tracks AI citations?”
162 impressions · transactional
“Best buyer intent software for SaaS?”
104 impressions · transactional
Grounded in your real search demand
Every other prompt list is a model's guess at your market. Answer Radar starts from the queries buyers actually typed to reach you, read from your own Search Console property.
Grant read access, not your login
There is no button here that sends you to a Google sign in. You add our reader to your own property inside Search Console, at Restricted permission, so no credential of yours is ever stored on our side.
- You add our address in Search Console yourself
- Restricted permission is all we ask for
- Read only, we never submit or change anything on your property
Search Console
Connect this project's Google Search Console so proposed buying questions are grounded in what buyers actually search for.
In Google Search Console, open Settings › Users and permissions › Add user, paste the address below, and set the permission to Restricted.
The exact address is shown in the app.
A rolling 28 days of real queries
Once you pick the property we read a rolling 28 day window that ends three days back, because Search Console lags a few days and then revises what it already sent. The same window is re-read every night, so late corrections land instead of being missed.
- Query and date rows for 28 days, refreshed nightly
- The window ends three days back, where the numbers have settled
- Web results only, an image impression is not a buying question
- Disconnect whenever you like, the queries already collected stay
Property
sc-domain:yourdomain.com
Last synced
Today, 5:02 AM
ai citation tracking
892ai citation finder
162ai brand visibility tool
46aeo for saas
25Questions built from what buyers typed
Your top 25 queries by impressions become the seed set, and the generator is told to base its questions on those rather than invent new ones. Ranked by impressions and not by clicks, because a query you are invisible for still has demand behind it.
- Your top 25 queries by impressions seed every proposed set
- Impressions, not clicks, so zero click demand still counts
- Approve, reprioritise, or write your own, nothing runs unapproved
- No property connected still works, it just says so plainly
Grounded in Search Console · 25 seed queries
ai citation tracking
892 impressions
“Which tool tracks AI citations across engines?”
ai citation finder
162 impressions
“How do I find where AI answers cite my brand?”
ai brand visibility tool
46 impressions
“What is the best AI brand visibility tool for B2B?”
aeo for saas
25 impressions
“Which AEO platform fits a B2B SaaS team?”
Everything you need to win the answer
Observed evidence and clearly labeled hypotheses, kept apart, so every recommendation you act on is grounded in what the answer engines actually said.
Answer-engine visibility
See, question by question, where AI assistants send buyers, and whether you are in the answer or on the sidelines.
Competitor vs. you
Track which competitors get recommended for your category's buying questions, and where you are being left out.
Cited-source capture
Every source an answer cites is captured and stored, so you can see exactly which pages are shaping what the AI says.
Ranked recommendation gaps
Gaps are ranked by commercial intent and evidence strength, with observed facts kept separate from hypotheses.
Source-backed fixes
Turn a gap into a drafted brief, article, or response, grounded only in evidence from the run and never invented.
Works with your AI tools
Run the whole flow in the browser, or connect the Linkeddit MCP to Claude and other assistants. No local setup, no copied secret.
Everything exports as CSV
Metrics, trends, gaps, runs, actions, fixes and prompts export from the API, one row per segment rather than an average across them.
Scheduled re-checks
Set a cadence per project so the answer is measured as a series. A single run is a snapshot, and snapshots move on their own.
Show a client the finding without buying them a seat
An agency can show a client what the answer engines said, and a founder can show the board, without provisioning anyone. One link, the summary only, gone in 30 days.
One link, shown once
Create a share link on a project's metrics and the URL appears exactly once. Only a hash of it is stored, so nobody, us included, can hand it back to you later. Copy it before you close the panel.
- Created in one click, no invite and no seat to provision
- Shown once and never recoverable, only a hash is kept
- The person you send it to needs no account at all
Share this result
Anyone with this link can view it without signing in. This shows the summary only, not the answers or sources behind it. It stops working on Oct 1, 2026.
Save it now. This is the only time the link is shown, and it cannot be retrieved later.
They see the summary, not your evidence
The shared page carries the headline numbers and nothing underneath them. Summary mode is fixed in the service rather than chosen by the page, so no argument in the link can widen it into the answer text or the sources that were cited.
- Summary only, enforced server side rather than by the page
- Never the answer text, never the cited sources
- The page is noindex, so a shared link stays out of search
Shared metrics result
Answer Radar
A summary shared from Linkeddit. It shows headline numbers only, not the underlying answers or sources.
"share_of_answer": 0.62 "prompts_measured": 16 "recommended_in": 10 "window": "last 28 days"
Thirty days, and a view never buys more time
A link stops working 30 days after it was created. Opening it does not extend that, which matters most for the link that leaks somewhere busy. Turn one off and it stops resolving immediately.
- 30 days counted from creation, never extended by a view
- Revoke at any time, effective immediately
- Revoking keeps the record rather than quietly deleting it
This link has expired
Try again shortly, or ask whoever shared it to send a new link.
Every ending is a plain page that says which of the three happened, not a broken one.
Run the whole loop from your AI assistant
Answer Radar is not only a dashboard. The same measurement is a connector, so the tool that asks the questions is the one you already work in.
Paste a URL, authorize, done
Add the connector in Claude, Cursor, VS Code or any MCP client, authorize once in the browser, and that is the setup. It is a public OAuth 2.1 client with PKCE, so there is no secret to store and no key to rotate.
- One URL and a client id, no client secret
- No API keys, nothing to generate or rotate
- Works in Claude, Claude Code, Cursor, VS Code, Windsurf and ChatGPT
Connector URL
mcp.linkeddit.com/mcp
OAuth Client ID
linkeddit-mcp-claude
Client secret
Not required, public PKCE client
The whole loop, from the assistant
65 tools in one server, 37 of them Answer Radar. Ask where the engines recommend someone else and the assistant runs the audit, reads the gaps, pulls the demand behind them, and creates the link you send a client, without you moving to another tab.
- 37 Answer Radar tools of 65 in a single server
- Search Console demand, audits, gaps, fixes and shares
- Your own account and your own entitlements, not a shared key
You ask
“Where are the answer engines recommending competitors instead of us, and what did they cite?”
We ship the gap, your assistant writes the fix
A tool that hands an assistant a generated paragraph is a wrapper around something the assistant already does better. What Answer Radar returns is the part it cannot get on its own: what four engines actually said, which sources they cited, and how that moved since last time.
- The observed answer and the exact sources cited
- Measurement that stays comparable across runs and tenants
- Drafting stays where it belongs, in the assistant
Question
“Best competitor tracking tool?”
"verdict": "absent" "recommended": ["Crayon", "Klue"] "cited": [3 sources, with urls] "intent": "transactional"
What comes back is the gap and the evidence. Writing the page that closes it is the assistant's job, and it is already good at that.
Win the answers. Bank up to 128,000+ visits a month.
Answer Radar finds every buying question where an engine names a rival instead of you, hands you the fix, and re-measures once you ship it. Here is what that pays out.
Once you own the answer
Drag it. Every question you win keeps paying, and at 80 of them that is 307,200 visits a year off questions your buyers are already typing.
the signups per visit
Every 1,000 visits from an answer engine turn into 142 signups instead of the 28 you get from search. They arrive already told you are the right tool, so you are not selling from scratch.
of answers cite threads
Community threads and review sites, not ad budget or domain authority. That is the one surface a small team can still win, and it is exactly where Linkeddit puts you.
prompts a day
Your category is getting recommended thousands of times an hour. Every one of those answers names somebody. Right now it probably is not you.
Part of the whole picture
Answer Radar sits alongside competitor intelligence and demand intelligence: one view of where buyers are looking, what they ask, and who the answers point them to.
Questions
Frequently asked questions
What is an AI brand visibility tool?+
An AI brand visibility tool measures whether AI assistants name your brand when someone asks them which product to buy. It puts real buying questions to engines like ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews, records who gets recommended and which sources the answer cites, and tracks how that changes over time. Answer Radar does this and adds the step most tools stop short of: it turns each miss into a source-backed fix and re-measures afterwards.
How do I track my brand's visibility across multiple AI platforms?+
Pick the commercial-intent questions your buyers actually ask, run them against every engine on a schedule, and record three things per run: whether you appear, who is recommended instead, and which sources are cited. Answer Radar runs ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews from one project so the results are comparable across engines, and keeps the observed answer text so a score can always be traced back to evidence.
Can I track a competitor's visibility in AI answers?+
Yes. Answer Radar records every brand named in each answer, not just yours, so you can see which competitor owns which buying question and which sources the engine leaned on to get there. That competitor view is the point: a visibility score alone does not tell you what to change, but knowing a rival is being cited from a specific source does.
How is Answer Radar different from other AI visibility tools?+
Answer Radar connects AI recommendation tracking with competitor intelligence and an MCP workflow. Inspect saved answers and cited sources, prioritize gaps by buying intent, and bring the evidence into Claude or ChatGPT to draft changes. Re-measure the same questions after publishing. Other products also offer audits and recommendations; compare evidence access, engine coverage and workflow fit. Failed runs are reported separately from measured absence.
Is there an affordable AI brand monitoring tool for startups?+
Answer Radar is included with Linkeddit's Compete plan at $99 per month, which also covers the weekly competitor intelligence brief. It is built for founders and small teams rather than enterprise procurement, so there is no seat minimum and no annual commitment.
What is answer engine optimization (AEO)?+
Answer engine optimization is making sure AI answer engines recommend and cite you when buyers ask which product to use. Traditional SEO optimizes for a ranked list of blue links; AEO is about being present - and recommended - inside the AI's answer itself. Answer Radar measures that and shows you where you stand.
How is this different from SEO?+
SEO gets your page to rank; AEO gets your product into the answer an AI gives a buyer. They overlap - cited sources matter for both - but the unit of measurement is different. Answer Radar tracks whether you're recommended and cited for real buying questions, not just whether a page ranks.
Which AI answer engines do you measure?+
Answer Radar measures ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews. It captures the answer text, who gets recommended, and every cited source, and it normalizes failures honestly rather than reporting a false zero. For AI Overviews it also records whether an Overview appeared at all, because that surface does not answer every search.
Do I need to install anything?+
No. You can run the entire flow - set up a project, generate and approve questions, review gaps, and draft fixes - in the browser. If you work in AI assistants, you can also connect the Linkeddit MCP connector to Claude and others: one URL, sign in once, no local server and no copied secret.
How much does it cost?+
Answer Radar is included with the Compete plan. See the pricing page for current details.
Read next
The research behind this page: why answer engines name who they name, what the tools in this category actually cost, and how to measure any of it honestly.
Find out what AI tells your buyers
Set up a project, approve the buying questions, and see who the answer engines recommend - and where you fit in.
The AI visibility library
Every guide we have published on getting cited by answer engines, measuring AI visibility, choosing prompts, and evaluating the tools in this category.
Start here
Getting cited
- How to Get Cited by Perplexity and ChatGPT
- Content That Gets Cited by AI: What to Write and How to Structure It
- Why You Rank on Google but AI Does Not Cite You
- Does Schema Help AI Citations? The Honest Answer
- Does llms.txt Actually Work? What the Data Says
- Query Fan-Out: What It Is and How to Optimize
- Query fan-out tracker: the searches ChatGPT, Gemini and Claude ran before answering (product page, measured run)
- Translated Content and AI Citations: The Evidence
- What Server Logs Reveal About AI Crawlers
Measuring visibility
- AI Share of Voice: How to Measure It Honestly
- AI Citation Share: What Good Actually Looks Like in 2026
- AI Brand Visibility Gap Analysis That Survives Noise
- Content gaps: what your page misses that the AI answers had (product page, tool response quoted)
- Fix and verify loop: measured, fixed, re-measured after 168 hours (product page, recorded check)
- Share links: client reporting without a seat, summary only, 30 days, not white label (product page)
- Weekly brief and schedules: measured on a cadence, briefed on the difference, honest when quiet (product page, live digest)
- AI Recommendation Monitoring: Mentioned vs Chosen
- ChatGPT Citation Trackers: What They Can and Cannot See
- ChatGPT Citation Tracker: Who ChatGPT Recommends (product page, with measured run data)
- Perplexity Brand Mentions Tracker: Every Source It Cites (product page, with measured run data)
- Gemini Visibility Tracker: Who Gemini Recommends (product page, with measured run data)
- Claude Visibility Tracker: Who Claude Recommends, Callable Over MCP (product page, with measured run data)
- Google AI Overviews Tracker: Who AI Overviews Cite
- How to Rank in ChatGPT: A Practical Guide
- How to Show Up in Google AI Overviews (2026)
- How to Get Recommended by AI When Buyers Ask Which Tool to Use
Tool reviews, verified on the day
- How Answer Radar measures: the definitions behind every number
- AI visibility tools compared (2026): fourteen trackers in one matrix, with a measured section
- Profound Review (2026): Pricing, G2 Complaints, and Who It Is For
- Peec AI Review (2026): Pricing, the Three-Model Cap, and Who It Fits
- Otterly AI Review (2026): The $29 Entry, the Add-On Bill, and Who It Fits
- Scrunch AI Review (2026): $250 Core, the Sitecore Deal, and Who It Fits
- Rankscale Review (2026): Credits, 17 Engines, and Who the Cheapest Tracker Fits
- AthenaHQ Review (2026): The Free Tier, the $295 Jump, and Who It Fits
- Ahrefs Brand Radar Review (2026): 462M Prompts, Two Products, and Who It Fits
- Semrush AI Visibility Toolkit Review (2026): $99 a Domain, 25 Prompts, and Who It Fits
- HubSpot AEO Review (2026): $50, 25 Prompts, Three Engines, and Who It Fits
- SE Ranking AI Visibility Tracker Review (2026): Two Products, Five Engines, and Who It Fits
- BrandPeek Review (2026): $25 Credits, Six Engines Including Claude, and What Nobody Has Checked
- Ahrefs Brand Radar vs Semrush AI Toolkit (2026): checks vs prompts, two indexes, measured
- Ahrefs Brand Radar vs Peec AI (2026): the index vs the tracker, measured
- HubSpot AEO vs Profound vs Scrunch (2026): $50, $99 and $250 buy three different things
- Otterly vs Peec AI vs Linkeddit (2026): $29, $80 and $99, and what each stops short of
- Profound vs AthenaHQ vs Linkeddit (2026): one engine, ten models, or four engines with the fix
- Profound vs Otterly vs Linkeddit (2026): the top of the market, the bottom, and the one that drafts the fix
- Rankscale vs Otterly vs Linkeddit (2026): seventeen engines on credits, four plus add-ons, or four with the fix
- Brand24 vs AI mention trackers (2026): what the $99 add-on buys, and when a dedicated tracker wins
- Profound pricing (2026): what $99 and $399 buy, and everything that is Enterprise only
- Peec AI pricing (2026): three models per tier from six, and Claude only on Enterprise
- Otterly AI pricing (2026): $29, $189 and $489, plus the add-on table that sets the real price
By team
- For B2B SaaS founders: ten questions, one run, our own baseline printed
- For agencies: a project per client, one brief, summary-only share links, not white label
- For ecommerce and DTC: which review sites and forums the engines cite when a shopper asks
- For PR and brand teams: how assistants describe the brand, the sources, the weekly brief
Prompts and competitors
- Buyer Prompts: You Cannot See What People Ask ChatGPT
- Which Prompts to Track for AI Visibility
- Search Console grounding: start the prompt set from what buyers actually typed (product page, real not-connected response)
- Prompt research and proposal: a draft set of buying questions you approve (product page, real prompt set)
- Why Does ChatGPT Recommend Your Competitor Instead of You?
- AI Content Penalties: Or Is It Thin Content in a Hat?
Tools and buyer guides
- AI Visibility Audit: What 15 SaaS Buying Questions Revealed
- Best AI Brand Visibility Tools in 2026 (And When Not to Buy One)
- Best AEO Tools for 2026: 11 Tools Compared
- Best GEO Tools for 2026: 12 Tools Compared
- AI Citation Tracking in 2026: How It Works, What It Costs, and the Tools Compared
- AI visibility tools for agencies (2026): multi-client plans, white label and per-client cost, read on the day
- AI visibility tools with a free trial or free tier (2026): two real free plans, four verified trials
- AI brand monitoring for ecommerce and DTC (2026): who tracks shopping answers, who reads the reviews
- AI Brand Monitoring Tools: 8 Compared (2026)
- Best AI Visibility Tools for B2B SaaS (2026)
- Best AI SEO Tools for Modern Search (2026)
- What AI Visibility Tools Cost Per Tracked Prompt
- What Practitioners Say About Profound, Otterly and Peec
- AI-Era SEO Stack: Search and AI Answer Tools
- AEO for SaaS: Does It Matter, What It Costs, and How to Actually Do It (2026)
Alternatives and comparisons
- Profound Alternatives in 2026: What You Give Up on Price Transparency
- Peec AI Alternatives in 2026: A Buyer's Guide With Verified Numbers
- Otterly AI Alternatives in 2026: The Only Bill You Can Compute in Advance
- Scrunch AI Alternatives in 2026: The Engine-Coverage Cliff
- AthenaHQ Alternatives in 2026: The Free Tier Is Real, and So Is the $295 Cliff
- Rankscale Alternatives in 2026: What Euro-Priced Credits Actually Cost You
- Ahrefs Brand Radar Alternatives: Suite Add-On vs Standalone Tool
- HubSpot AEO Alternatives in 2026: Cheapest Entry, Smallest Allowance
- Otterly AI vs Profound vs Peec AI: Who Actually Publishes a Price
- Profound vs Peec AI (2026): One Publishes Its Prices, One Does Not
- Local Falcon Alternative for AI Visibility (B2B SaaS, Not Local Map Grids)
Free, no account
Free AEO tools
Score a page on whether an assistant could answer with it, see the answer an engine could assemble from it today, check whether each engine can reach and quote it, and find what is stopping it being indexed. All free and complete without an account. Answer Radar is what runs the whole set on a schedule and shows whether any of it moved.
Score a page on whether an assistant could actually answer with it, across four pillars worth a hundred points.
See the answer an engine can build from your page, with every sentence labelled by the element it came from.
Whether each answer engine can reach and quote one specific page, checked per engine against the bots it actually uses.
Find out what is stopping a page being indexed, which is the half of the question anything can actually answer.
Check whether your robots.txt lets GPTBot, ClaudeBot, PerplexityBot, Google-Extended and the search bots behind them read your site.
Build a valid llms.txt file for your site, including the citation and safety blocks most generators leave out.