Product · Measure
See exactly how AI answers your market.
Answer Engine Insights tracks your brand's AI visibility across ChatGPT, Google AI Overviews and Perplexity, every day. Where you show up, who outranks you, which sources AI cites, and how it shifts by platform, market and buyer.
The vocabulary
Four numbers tell the story.
Every module below slices the same four metrics a different way: by topic, platform, market, buyer and source.
How often your brand appears in AI answers to your tracked prompts.
Rank #54 of 124 brandsYour share of all brand mentions in AI answers.
Rank #50 of 118Where you rank inside an answer when you appear. Lower is better.
Rank #61 of 124How often AI cites your domain as a source.
Rank #17 of 628 domainsLive demo data: Ledgerly, an expense management brand, tracked June 22 to 26 across 124 brands and 628 cited domains.
Visibility · Module 01
Know exactly where you stand, and against whom.
Your AI visibility score, tracked daily against every competitor in your category. Not a vibe, a rank: Ledgerly is #54 of 124.
How often Ledgerly appears in AI-generated answers.
Showing top 5 of 124 tracked brands
Then the same score, topic by topic.
One blended score hides where you compete. The topic matrix shows who holds positions 1 to 10 for every topic you track, and where you are absent.
And a straight answer to “what do we fix first?”
Every topic plotted by AI visibility and citation share. Four quadrants, four plays: defend, convert, push or rebuild.
- Strongholds1 topic
- Visibility Leaders1 topic
- Citation Leaders1 topic
- Needs attention4 topics
Defend strongholds, convert visibility into citations, ride citation leaders into mentions, and rebuild where you hold neither.
Also in Visibility · Query fanouts
See the queries behind every answer.
One prompt becomes many searches. AI engines fan each question into a dozen retrieval queries, and those queries pick the sources. See every one, and write for what engines actually search.
Platforms · Module 02
Every engine answers a little differently.
ChatGPT, Google AI Overviews and Perplexity read different sources, so they rank brands differently. Compare your whole category engine by engine and treat a weak platform as a finding, not a mystery.
Visibility Score by brand and platform, whole category.
Google AI Overviews
2.6% visibility, lifted by review-site citations
Perplexity
1.4% visibility. It leans on Reddit, where you are absent
ChatGPT
Ramp holds 29.4% vs your 2.2%, mostly via comparison pages
Every metric splits this way: visibility, share of voice, position, citation share and sentiment, per platform.
Regions · Module 03
Your visibility has a geography.
AI answers change with the asker's market and language. Regions runs native-language prompts in every country you sell to, showing where your brand wins and where AI has never heard of you.
Visibility Score per market, native-language prompts.
United StatesHomeNative4.1%▲ 0.3%
United KingdomNative3%▲ 0.1%
CanadaNative2.4%▲ 0.2%
GermanyNative2%–
AustraliaIP-aware1.8%▲ 0.1%
FranceNative1.6%▼ 0.1%Showing 6 of 12 tracked markets
Germany, opened upA different market means different rivals. In German-language answers Ledgerly competes with Moss, Candis and Pliant, not Ramp and Brex, and the citations come from OMR and Trusted Shops, not NerdWallet.
Geo-fidelity is stated per platform: native where the engine localizes itself, simulated where we make it. Small samples are flagged, never hidden.
Personas · Module 04
See which buyers AI hands to you.
One blended score hides who you win. Personas re-runs your prompts in each buyer's voice: founders hear about you often, CFOs never do.
One score per buyer context, from 1,880 persona-voiced runs
What this buyer's answers reward, and whether AI associates it with you.
For early-stage startups, the most recommended options are Ramp and Brex, both offering no-personal-guarantee cards with automated expense tracking. Ledgerly is also cited as a lighter-weight alternative with strong QuickBooks sync.
Sentiment · Module 05
How AI talks about you, when it does.
Mentions are half the story. Sentiment reads every AI answer about your brand and splits it into what AI praises, what it criticizes, and the sources feeding the criticism.
How positively AI answers describe Ledgerly, and the themes behind the number.
“A clean, modern interface that finance teams onboard quickly.”
“Receipt capture and auto-categorization cut month-end close time.”
“A strong value pick for startups scaling their spend controls.”
“A smaller integrations library than older, established rivals.”
“Seen as light on advanced controls for enterprise finance teams.”
Both criticisms route to Action Center with a drafted fix →
Benchmarked, like everything else
Positive-sentiment share across the competitive set. Praise is relative too.
What's driving the negatives
Every criticism traced to its source, down to the review AI keeps quoting.
“Ledgerly nails the basics, but we couldn't connect it to NetSuite. Month-end still means manual CSV exports.”
Mid-Market review · May 2026 · cited by ChatGPT, Perplexity“Love the UI, but the Zapier connection is half-baked and there's no QuickBooks Desktop support.”
r/accounting · May 2026 · cited by Perplexity“Approval chains are basic and there's no multi-entity support. Fine for SMB, not for us.”
Enterprise review · May 2026 · cited by ChatGPTCitations · Module 06
The sources that decide the answers.
AI answers are built from sources. Citations shows which domains, page formats and channels engines cite for your market, which is exactly where you need to show up.
How often ledgerly.co is cited by AI-generated answers.
Two thirds of the citations in your market come from the long tail. The named categories are where you can actually move.
Citation composition
Which content formats and channels shape the answers you appear in.