AEO_V2 • TRAFFIC_BOT • GEO_LINK • GEO_LINK • GEO_LINK • INFERENCE • AEO_V2 • NODE_7 • GEO_LINK • CITATION_TRACK • 0x4F • 0x4F • AEO_V2 • TRAFFIC_BOT • INFERENCE • CITATION_TRACK • TRAFFIC_BOT • TRAFFIC_BOT • NODE_7 • AEO_V2

CITATION_TRACK • TRAFFIC_BOT • NODE_7 • VECTOR_SPACE • CANONICAL • VECTOR_SPACE • CITATION_TRACK • AEO_V2 • TRAFFIC_BOT • AEO_V2 • GEO_LINK • AEO_V2 • VECTOR_SPACE • CANONICAL • CITATION_TRACK • NODE_7 • VECTOR_SPACE • GEO_LINK • CITATION_TRACK • CANONICAL

VECTOR_SPACE • INFERENCE • CITATION_TRACK • NODE_7 • VECTOR_SPACE • TRAFFIC_BOT • INFERENCE • CITATION_TRACK • CITATION_TRACK • TRAFFIC_BOT • CITATION_TRACK • CANONICAL • TRAFFIC_BOT • 0x4F • 0x4F • AEO_V2 • 0x4F • AEO_V2 • AEO_V2 • INFERENCE

CITATION_TRACK • NODE_7 • CITATION_TRACK • INFERENCE • VECTOR_SPACE • CITATION_TRACK • INFERENCE • CITATION_TRACK • CITATION_TRACK • NODE_7 • INFERENCE • CITATION_TRACK • VECTOR_SPACE • 0x4F • CITATION_TRACK • 0x4F • GEO_LINK • 0x4F • TRAFFIC_BOT • NODE_7

INFERENCE • 0x4F • CITATION_TRACK • 0x4F • INFERENCE • GEO_LINK • NODE_7 • VECTOR_SPACE • CITATION_TRACK • AEO_V2 • CANONICAL • GEO_LINK • TRAFFIC_BOT • NODE_7 • CANONICAL • NODE_7 • NODE_7 • INFERENCE • AEO_V2 • GEO_LINK

0x4F • CANONICAL • TRAFFIC_BOT • 0x4F • CITATION_TRACK • AEO_V2 • INFERENCE • GEO_LINK • 0x4F • CANONICAL • TRAFFIC_BOT • NODE_7 • VECTOR_SPACE • TRAFFIC_BOT • VECTOR_SPACE • INFERENCE • AEO_V2 • CITATION_TRACK • INFERENCE • NODE_7

CANONICAL • INFERENCE • AEO_V2 • NODE_7 • INFERENCE • 0x4F • VECTOR_SPACE • INFERENCE • INFERENCE • TRAFFIC_BOT • 0x4F • INFERENCE • TRAFFIC_BOT • CITATION_TRACK • TRAFFIC_BOT • CANONICAL • TRAFFIC_BOT • NODE_7 • AEO_V2 • INFERENCE

CITATION_TRACK • CITATION_TRACK • TRAFFIC_BOT • INFERENCE • TRAFFIC_BOT • TRAFFIC_BOT • NODE_7 • 0x4F • GEO_LINK • NODE_7 • TRAFFIC_BOT • CANONICAL • 0x4F • 0x4F • AEO_V2 • CANONICAL • CANONICAL • CANONICAL • 0x4F • CANONICAL

CANONICAL • VECTOR_SPACE • 0x4F • GEO_LINK • 0x4F • NODE_7 • CANONICAL • TRAFFIC_BOT • INFERENCE • VECTOR_SPACE • 0x4F • AEO_V2 • GEO_LINK • NODE_7 • VECTOR_SPACE • INFERENCE • VECTOR_SPACE • NODE_7 • GEO_LINK • CANONICAL

CANONICAL • NODE_7 • INFERENCE • 0x4F • CANONICAL • INFERENCE • AEO_V2 • TRAFFIC_BOT • VECTOR_SPACE • INFERENCE • GEO_LINK • CANONICAL • NODE_7 • CANONICAL • CANONICAL • 0x4F • 0x4F • NODE_7 • TRAFFIC_BOT • 0x4F

CANONICAL • CITATION_TRACK • TRAFFIC_BOT • TRAFFIC_BOT • TRAFFIC_BOT • TRAFFIC_BOT • CITATION_TRACK • CITATION_TRACK • CANONICAL • VECTOR_SPACE • CITATION_TRACK • NODE_7 • NODE_7 • GEO_LINK • VECTOR_SPACE • VECTOR_SPACE • AEO_V2 • CITATION_TRACK • 0x4F • INFERENCE

INFERENCE • CITATION_TRACK • INFERENCE • AEO_V2 • GEO_LINK • VECTOR_SPACE • INFERENCE • GEO_LINK • GEO_LINK • AEO_V2 • GEO_LINK • AEO_V2 • AEO_V2 • TRAFFIC_BOT • INFERENCE • GEO_LINK • NODE_7 • INFERENCE • VECTOR_SPACE • INFERENCE

Understand how your brand shows up in AI answers.

Track AI traffic, citation activity, and content performance across every major answer engine, built as a real measurement product, not an agency reporting wrapper.

How it works

Inflect

Product proofLive measurement layer

Track the AI surfaces that matter without reducing the category to another logo strip.

Inflect measures platform momentum, citations, traffic, and attribution in one product layer so operators can work from a real signal system instead of stitched-together reporting.

ChatGPT

Claude

Perplexity

Gemini

Grok

Copilot

Coverage

14+

AI surfaces tracked across visits, citations, co-mentions, and answer-engine activity.

How it works

Traffic attribution

Separate verified AI sessions from referral noise by provider, page, and confidence.

Citation tracking

Know which pages are being picked up as source material in AI answers.

Impact reporting

Connect content changes to measurable visibility gains over time.

detect→attribute→cite→measure

How it works

The product layer for teams treating AI visibility as a measurable channel.

Inflect is built for operators who need signal, attribution, and clear next actions rather than another outsourced reporting wrapper.

Connect the signal layer

Bring AI traffic and citation signals into one product surface so your team has a shared source of truth.

Trace what changed

Review the pages, prompts, and answer surfaces where your brand is showing up, then see where momentum is building.

Measure what moved

Turn those signals into content updates and reporting that make AI visibility feel operational instead of ambiguous.

Product company

We built a productized measurement layer, not another agency-shaped service.

Inflect is designed around detection, attribution, citation logic, and operational reporting. That is the difference between a system your team can run every week and another black-box AI visibility service.

Detection logic helps separate verified AI-driven traffic from low-confidence noise.

Attribution and citation layers bring answer-engine activity back to real pages and changes.

Operators can use the same product surface to track signals, spot movement, and justify the next action.

Measurement engine

Detection, attribution, and citation tracking in one product layer.

Instead of juggling crawler logs, prompt mentions, and referral traffic in separate tools, teams can use one system to verify signal, tie it back to pages, and decide what to ship next.

Detection

Verify where AI-driven traffic is actually coming from.

Attribution

Tie visits, pages, and providers back to usable signal.

Citation tracking

Track which content is surfacing in answer engines.

Visibility

See where AI-driven visits are coming from.

Bring provider-level traffic, page-level signals, and traffic quality checks into one place so your team gets a cleaner read on what AI search is doing for the business.

Separate real AI-driven traffic from spoofed or low-quality noise.

See which answer engines are creating meaningful visits to your pages.

Track visibility at the provider, page, and signal-quality level from one reporting surface.

User traffic

See which AI products are sending real users to your pages.

Rolling 30 days

Provider mix

ChatGPT46%

Perplexity24%

Claude18%

Tracked pages

128

41 pages received verified AI-assisted visits in the current window.

Signal quality

94%

Noise filtering keeps spoofed or low-confidence traffic out of your top-line view.

Impact surface

Content changes

Rewrote answer-first opening

Added FAQ structure to comparison page

Clarified entity and author signals

Visibility lift

+38%

New citations

+12

AI sessions

+27%

Attribution and impact

Show which pages and updates are driving momentum.

Inflect gives teams a way to connect visibility shifts back to the changes they shipped, so AI search becomes a reporting surface they can actually manage.

Tie content updates back to citation activity so teams can see what actually moved.

Track which pages, prompts, and answer surfaces are picking up momentum.

Give operators a productized measurement layer instead of agency-style reporting theater.

In the product

How does AI search read your pages today?

Free technical audit on any public URL. Sign in to run it.

AI visibility audit

One URL, one clear read on what to fix next.

Start free

Get a clearer view of how your brand is performing in AI search.

Start with product analytics, citation tracking, and a reporting layer your team can use to understand what is improving visibility over time.

From the blog

Practical guides for AI search operators.

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Mar 23, 2026

How to Measure Citation Attribution Confidence

Learn a page-level way to measure citation attribution confidence so you can stop guessing which content changes worked.

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Mar 23, 2026

How to Set Up Page-Level AI Citation Tracking

A step-by-step workflow to instrument crawler access, citation detection, and AI-origin visits with page-level attribution.

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Mar 23, 2026

Semrush vs Inflect for AI Citations

A comparison of Semrush and Inflect for AI citation tracking and page-level attribution.

Read article