AEO Tools Compared: Prompts, Citations and Share of Answer

Among AEO tools, Profound tracks prompts and traces citations in the most depth, Conductor ties share-of-answer reporting to an enterprise SEO and content stack with full governance, and Semrush's AI Visibility Toolkit is the low-cost entry point at about $99 per domain per month. Answer engine optimization (AEO) is the work of getting a brand named and cited inside AI-generated answers on ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews and AI Mode. Buyers now ask an assistant for a shortlist before they visit a vendor site. If that answer names three competitors and not you, there is no click to win back.

I compare the leading platforms on the three things that decide whether their numbers mean anything: how they build and run prompts, how they attribute citations, and how they calculate share of answer. You also get a prompt-set framework by funnel stage, a decision framework by maturity and budget, and a buyer checklist. Pricing, engine coverage and G2 ratings reflect what vendors and reviewers reported as of October 2026. Tellr publishes this guide and runs a managed program rather than a self-serve tracker, so it has its own section and is not scored against the tools.

All three tools cover the same seven surfaces: ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews and AI Mode (Semrush's coverage is confirmed by third-party sources).

How I evaluated these AEO tools

I scored each tool against a fixed AEO framework built from vendor documentation, independent reviews and G2 feedback. I did not run a proprietary prompt panel, so every score reflects documented capability rather than a one-off test.

• Prompt handling: how prompts are added, segmented by market or product, and refreshed.
• Citation attribution: whether the tool records which URLs and domains an answer cites, not just whether the brand is named.
• Share-of-answer method: what the denominator is, and whether competitors are benchmarked on the same prompts.
• Data provenance: API calls, browser sessions or panel data, and whether the vendor says which.
• Enterprise fit: SSO, roles, approvals, audit trail, SOC 2 and multi-brand workspaces.
• Action: whether the tool stops at a report or helps produce the fix.

The metrics, defined

At its simplest, AEO measures whether and how often a brand actually gets named inside an AI-generated answer. Vendors then slice that into several metrics that are often confused:

For example, 200 prompts run three times on four engines produce 2,400 answers. If your brand appears in 540 of them, your share of answer is 22.5%. If those 2,400 answers contain 3,000 brand mentions in total and 540 are yours, your share of voice is 18%.

Share of answer tells you how often buyers see you at all. Share of voice tells you how crowded the answers are. To compare the two with search and social figures, see how to measure share of voice across channels.

The test protocol to run in your trial

1. Load 100 to 200 prompts split across five funnel stages, at least 70% of them non-branded.
2. Run each prompt at least three times per engine, because a single run cannot separate signal from model randomness.
3. Fix country, language and device, and log the model version for every run.
4. Check 20 answers by hand against the tool's record of mentions and cited URLs.
5. Repeat after two weeks and confirm that the trend lines survive the second sample.

Prompts, citations and share of answer, side by side

Profound, Conductor and Semrush all track mentions, citations, share of voice and position. They differ on data provenance, citation depth, referral traffic and whether they help produce the fix.

Legend: ● documented by the vendor or independent sources; ◐ partial, limited or sources conflict; ○ not documented.

No tool reviewed scored full marks on mention accuracy, and none publishes an independent audit of its answer sampling. Ask every vendor for the raw answer text alongside the parsed mention, so you can verify a citation rather than trust a score.

AEO tool reviews: Profound, Conductor and Semrush

Profound ranks first for citation intelligence, Conductor second for governed SEO-plus-AEO programs, and Semrush third as the low-cost option for existing users.

1. Profound: why is it the best for citation intelligence?

Verdict: the deepest dedicated AI visibility platform here, priced for enterprises. Prompts ● | Citations ● | Share of answer ● | Governance ●. Profound holds 4.6/5 on G2 from 1,124 reviews as of October 2026.

Pros

• Tracks seven surfaces using API, browser and panel collection.
• Measures citation share, sentiment, position and AI referral traffic.
• Turns findings into briefs, drafts and rewrites.

Cons

• Reviewers call pricing steep and lower tiers restrictive.
• The data volume creates a real learning curve.
• Exports and date-range flexibility draw complaints.

Why I picked it

Profound is the only tool here that documents all three collection methods: API calls, browser sessions and panel data. That matters for citations, because answers in consumer apps with live web search often differ from raw API output, and a tool sampling only one source can miss what buyers actually see. G2 reviews repeatedly single out prompt tracking, citation and source analysis, and competitor benchmarking across ChatGPT, Gemini, Claude and Perplexity.

A citation report shows which URLs an engine cites for a prompt cluster. A content team can see, for example, that a "best cloud security platforms" cluster leans on two review sites and a Reddit thread rather than any vendor page.

There are caveats. Reviewers say lower tiers cap coverage, history and API access, some find "Average Position Rank" surfacing generic non-brand entries, and Reddit users have questioned whether scraping-based collection is reliable or legally risky. Profound suits enterprise SEO and content teams with a dedicated owner. It is wrong for a small team on a tight budget.

About Profound

Profound (tryprofound.com) is an enterprise AI search visibility platform that also tracks AI crawler activity. Its core Profound Index updates weekly. Reviewers credit a fast feature cadence, agentic workflows and the Profound University training program for getting past the learning curve.

Key features

• Citation share: shows which sources and URLs AI systems cite for each prompt.
• Agents: produce content briefs, drafts, page rewrites, outreach materials and ad creative.
• Integrations: connects to GA4, Search Console, WordPress, Sanity, Slack, BI tools, an API and an MCP server.
• Governance: offers SSO, user roles, approval workflows, an audit trail and SOC 2 Type II.

Pricing

Enterprise pricing is custom quoted. A 7-day trial allows 50 prompts per day across ChatGPT, Gemini and Google AI Overviews, and credit-based plans exist for agencies.

2. Conductor: why is it the best for governed SEO and AEO programs?

Verdict: the strongest choice when AI visibility must sit inside an existing enterprise SEO and content operation. Prompts ● | Citations ◐ | Share of answer ● | Governance ●. Conductor holds 4.5/5 on G2 from 790 reviews as of October 2026.

Pros

• Unifies Search Console, GA4 and AI visibility data.
• Offers workspaces by brand, market or product line.
• Writing Assistant and CMS publishing close the loop.

Cons

• AI search credits add cost on top of the platform.
• Reviewers want more flexible reporting and executive templates.
• Topics cannot be edited after creation.

Why I picked it

Conductor treats AEO as an extension of SEO. Its AI Search Performance views track mentions and citations across ChatGPT, Perplexity, Google AI Overviews and AI Mode next to organic data, so you do not need several separate tools.

For a multi-brand enterprise, the workspace model decides it. A security company can run separate prompt sets for endpoint, cloud and identity products, each by region, under one SSO and role-based access setup with SOC 2 Type 2 certification. G2 reviewers also praise dedicated consultants, 24/5 chat support and Conductor Academy.

Reviewers flag inconsistent citation tracking, missing competitor comparisons for citation share and sentiment, and no native backlink tracking. Because topics cannot be edited after creation, plan the prompt taxonomy before you load it. Conductor suits SEO-led enterprises. It is heavy for a team that only wants a citation tracker.

About Conductor

Conductor, Inc. makes an enterprise website optimization and intelligence platform covering SEO and AI search visibility. It measures brand mentions, citations, share of voice, sentiment, position and AI referral traffic.

Key features

• AI Search Performance: tracks mentions and citations across seven AI surfaces.
• Writing Assistant: builds briefs and drafts with real-time content scoring.
• Integrations: covers GA4, Search Console, WordPress, Slack, BI tools, APIs and MCP via Composio and Pipedream.
• Governance: provides SSO, RBAC, approval workflows, an audit trail and multi-region workspaces.

Pricing

Pricing is a custom enterprise quote. Listings cite a 3-week free trial, though some reviewers say they could not trial it, so confirm on the sales call.

3. Semrush AI Visibility Toolkit: why is it the best low-cost option?

Verdict: a sensible add-on for teams already in Semrush, but not a full enterprise AEO program. Prompts ◐ | Citations ◐ | Share of answer ● | Governance ◐. Semrush holds 4.5/5 on G2 from 3,945 reviews as of October 2026, a rating that covers the whole platform rather than the toolkit.

Pros

• Daily prompt ranking refresh, the fastest documented here.
• Transparent per-domain pricing.
• Sits beside keyword, audit and rank data.

Cons

• No AI referral traffic measurement.
• Reviewers report limited regional, language and engine depth.
• Add-ons for users, prompts and domains scale cost quickly.

Why I picked it

Semrush is the most accessible way to start measuring share of answer. Prompt rankings refresh daily and brand and competitor benchmarks weekly, so a team can watch position move on a short cycle. G2 reviewers increasingly value the AI Overview and AEO tracking as part of an all-in-one SEO stack with GA4, Search Console and MCP connections.

The limits show at enterprise scale. Reviewers describe the insights as good for basic monitoring but shallow on competitors, with no persona segmentation and some inconsistent results. Sentiment is reported unevenly, AI referral traffic is not tracked directly, and SOC 2 is not explicitly confirmed for the toolkit. It also stops at diagnosis, with no briefs, articles or page fixes. It is best for SEO teams already paying for Semrush and worst for global, multilingual programs.

About Semrush

Semrush, Inc. makes a broad digital marketing platform. Its AI Visibility Toolkit monitors brand mentions, citations, share of voice and position, mainly through API collection.

Key features

• Prompt rankings: track average prominence per prompt, refreshed daily.
• Competitor benchmarks: compare share of voice weekly.
• Multi-brand reporting: available within Semrush One.
• Integrations: GA4, Search Console, WordPress, an API and an MCP server.

Pricing

The toolkit costs about $99 per month per domain, billed annually. Extra users cost $45 per month and prompt packs $60 per month per 50 prompts. Semrush One bundles run $199 (Starter), $299 (Pro+) and $549 (Advanced) per month. No free trial is indicated for the toolkit.

Building a prompt set you can trust

A prompt set should cover real buyer questions across the funnel, and its numbers stay stable only when you control for model variability.

Prompt libraries by funnel stage

Weight the set toward non-branded shortlist and comparison prompts, because branded prompts mostly test accuracy rather than visibility. Knowing how large language models decide what to cite explains why review sites and Reddit dominate the shortlist stage.

Why AI visibility numbers move

• Model variability: the same prompt returns different answers run to run, so single-run scores are noise.
• Personalization: logged-in memory, location and language change answers, so fix geo and device.
• Collection method: API output can differ from consumer apps that browse the web, which is why provenance matters.
• Model updates: a new model version can reset citations overnight, so log versions to explain jumps.
• History: trends start when a prompt is added and cannot be backfilled, and editing prompts breaks the line.

Governance and team workflows

Confirm SSO, role-based access, audit trails and SOC 2 before procurement, and ask how answers are collected, given the legal questions some users raise about scraping. Each team then uses the same data differently:

• SEO: maps cited URLs to pages to refresh or build.
• Content: turns uncited shortlist prompts into comparison pages and answer-shaped articles.
• PR: targets the publishers and review sites engines cite most.
• Product marketing: corrects inaccurate claims in branded decision-stage answers.

Which AEO tool fits your maturity and budget

Pick based on whether you need a first baseline, a governed enterprise program, or the content work done for you.

Teams with no budget can start smaller: free tools like HubSpot's AEO Grader give a quick analysis of whether AI tools cite your site. Map maturity to spend this way:

1. Exploring: run a free grader and 20 manual prompts to prove the gap exists.
2. Baseline: if you already pay for Semrush, add the toolkit and a 50-prompt pack.
3. Scaling: with a dedicated AEO owner and several markets or products, choose Profound or Conductor.
4. Executing at enterprise scale: if tracking is in place but nobody has capacity to produce the fix, add a managed program.

For a wider list, see our roundup of AI visibility tools and platforms. Before signing, run this checklist:

• The vendor states its collection method: API, browser sessions or panel.
• Exports include raw answer text and every cited URL.
• Share of answer and share of voice are defined with explicit denominators.
• Prompts can be segmented by funnel stage, product and market.
• History retention and prompt-edit rules are written into the contract.
• SSO, roles, audit trail and SOC 2 are confirmed in writing.
• Someone owns turning findings into pages, replies and outreach.

Where Tellr fits: turning citation data into cited content

Tellr is a managed earned-visibility program for enterprises that already know where they are missing from AI answers and need the work that changes it. Each week it records the Google organic results, the AI Overview and the discussions block for the category's queries, labelling every cited domain as your site, a competitor, Reddit, social, review sites or references, with week-over-week movement. A senior team then writes comparison pages, reviews and answer-shaped articles built to be quoted by ChatGPT, Perplexity, Gemini, Claude and AI Overviews, and publishes them to WordPress. Tellr is a managed program rather than a prompt-by-prompt dashboard, so teams that want a tool to run themselves will find it the wrong shape.

• Brand brief and claim guardrails checked on every draft
• Approval gate before anything goes live
• Audit trail of what was placed where
• Guideline-checked Reddit replies and ready-to-run ad creative
• "Tellr for Claude" MCP server and a weekly digest

The bottom line on AEO tools

The best AEO tools make prompts, citations and share of answer traceable down to the cited URL. Pick Profound for citation depth, Conductor for governed SEO-plus-AEO programs and Semrush for a low-cost baseline. Whichever you choose, run the trial protocol, freeze a core prompt set and demand raw answer text. Then make sure someone owns the pages, replies and outreach that move the numbers.

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