Positive mentions of Peec AI

Yes. For a local business website, I’d focus on tools that track both brand mentions and the actual URLs AI assistants cite, not just generic “AI visibility.”

My picks

1. otterly.ai — best overall for a local business

• Tracks ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude.
• Shows which pages on your site are actually cited, how often, competitors being cited instead, and share of voice.
• Runs tracked prompts daily.
• Particularly useful if you're trying to answer questions like “Who does ChatGPT recommend for [service] near [city]?” Otterly Otterly
• Current comparisons put its entry point around $29/month, making it considerably more approachable than enterprise platforms. Citation Hawk ToolChase
• peec.ai — best for deeper GEO analysis

• Strong choice if you want to understand why competitors are being cited instead of you and analyze citation/content gaps.
• It covers major AI surfaces including ChatGPT, Perplexity, Gemini, Copilot and Google's AI experiences. Citation Hawk Kitbase
• I'd choose this over Otterly if you're doing serious ongoing content/GEO work rather than simply monitoring your visibility.
• semrush.com — best if you already use Semrush

• Its AI Visibility Toolkit combines AI visibility with traditional SEO, competitor research and site auditing.
• Particularly attractive if you don't want another standalone SaaS subscription. Current comparisons put the AI toolkit around $99/month. Citation Hawk
• ahrefs.com — best for an existing Ahrefs user

• Worth considering if your SEO work already lives in Ahrefs.
• Its AI visibility capabilities are increasingly integrated with its broader SEO data, but I'd pick Otterly/Peec if AI citation monitoring itself is your primary objective. ToolChase

What I'd use for a local business

For example, suppose you own a roofing company in Leesburg.

I'd create prompts such as:

• “Best roofing companies in Leesburg VA”
• “Who should I call for a roof replacement in Leesburg?”
• “Best roof repair company near Leesburg”
• “Most reliable roofing contractors in Loudoun County”
• “How much does roof replacement cost in Leesburg VA?”
• “Roofing companies with the best reviews in Northern Virginia”

Then track weekly/daily:

AI platform → Was I mentioned? → Was my website cited? → Which URL? → Position/order → Which competitor appeared? → What source did the AI use instead?

That last part is crucial. A tool telling you “your AI visibility is 14%” is much less useful than telling you:

ChatGPT recommended Competitor A 7/10 times and cited their /roof-replacement/ page. Your site appeared 2/10 times, but when it did, it cited /services/roofing/.

That gives you something actionable.

My recommendation

Start with OtterlyAI. It's the best fit if your main question is “How often are AI assistants mentioning my local business and citing my website?” Its website-citation tracking specifically records the URLs AI engines use, rather than treating every brand mention as equivalent. Otterly

If you're an SEO agency managing multiple local businesses, I'd look more closely at Peec AI or an agency-oriented platform because reporting and multi-client management become more important.

If you tell me what type of local business you have and roughly how many locations/websites you're monitoring, I can narrow this down to the best 2–3 options and compare price, local-search tracking, citation-level data, competitor tracking, and agency reporting.

Yes. What you want is usually called AI visibility / GEO monitoring: software that repeatedly runs the kinds of questions your customers ask and records whether ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews/AI Mode, etc. mention or cite your website.

For a local business, I’d shortlist these:

My pick for a local business

I'd start with Otterly.AI or RankPrompt, rather than jumping straight to an enterprise platform like Profound.

The important distinction is that you don't merely want a tool that says:

"Your brand was mentioned 37 times."

You want something that can answer:

• Which customer questions produced the citation?
• Which AI platforms cited us?
• Which exact URL on our site was cited?
• Which competitors were recommended instead?
• What percentage of relevant answers mention us?
• Does our visibility change by city/ZIP/location?
• What third-party websites are AI systems using to decide whether to recommend us?
• Can I see the actual AI answer rather than just a score?

That's especially important for local SEO because a prompt like "best plumbers in Chelsea MA" is much more useful to you than a generic prompt like "best plumbers."

Current tools vary substantially in this area. For example, some track multiple AI engines and citations, while others emphasize share of voice or broader GEO analytics. Local Dominator KITLabs

One important caveat

Don't treat an AI visibility score as equivalent to a Google ranking.

AI answers aren't deterministic—the same prompt can produce different recommendations on different runs. Good trackers therefore sample prompts repeatedly rather than pretending there is a single permanent "AI ranking." MentionScout

And the landscape is genuinely changing: recent data has shown substantial shifts in which third-party sites AI systems cite, even over short periods. Axios

What I'd set up for your business

I'd build a monitoring set of roughly 30–100 prompts, split into:

1. "Best [service] near me"
2. "Best [service] in [city]"
3. "[service] near [neighborhood]"
4. "[service] for [specific problem]"
5. "[competitor] vs [your business]"
6. "Who should I hire for [problem]?"
7. "Affordable/reliable/top-rated [service] in [area]"
8. Questions where your website has particularly useful content

Then track them weekly across the major AI surfaces.

That gives you a much more meaningful metric: "Of the questions that could actually send us a customer, how often does AI recommend or cite us?"

If you tell me what type of local business you have and what city/area you serve, I can narrow this down to the 3 best tools for your situation, including current pricing, platform coverage, local/ZIP-level capabilities, and which one I'd actually buy.

What I'd set up for your business

One important caveat

Don't treat an AI visibility score as equivalent to a Google ranking.

Yes — there are platforms emerging that track which sources AI answer engines cite, but there is no single universal “AI citation database” because ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews use different retrieval systems and citation behaviors. Machine Relations Writesonic

For a niche news site, you’re looking for AI visibility / GEO (Generative Engine Optimization) tools. These can help answer questions like: “When someone asks an AI model about my niche, does it mention my site? Which competitors get cited instead?” GetIntel

Some options:

• tryprofound.com — Tracks brand visibility across AI search experiences and analyzes citation patterns.
• otterly.ai — Monitors AI search visibility and mentions.
• peec.ai — Focuses on AI search monitoring and competitor visibility.
• writesonic.com — Offers AI search tracking features, including citation monitoring. Writesonic
• citeharbor.com — Focuses specifically on tracking citations across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. CiteHarbor

For a small niche publication, I’d also do a manual baseline:

1. Make a spreadsheet of 50–100 questions your target readers ask.

• “Who covers [niche topic]?”
• “What happened with [recent event]?”
• “Best sources for [industry] news?”
• “Latest research on [topic]?”
• Run those prompts in:

• ChatGPT with search enabled
• Perplexity
• Google AI Overviews
• Gemini
• Record:

• Which domains are cited
• Which articles are cited
• What wording appears before the citation
• Whether the AI treats the source as authoritative

Perplexity is particularly useful for this because it exposes source citations directly in answers. CiteHarbor

To become a cited source, the biggest levers tend to be:

• Publish original reporting

AI systems have little reason to cite a site that only rewrites existing stories.

• Create citation-friendly pages

• clear headlines
• dates
• named authors
• primary documents/data
• statistics
• expert quotes
• structured HTML
• Become a source other sites cite

AI systems often amplify third-party recognition, not just your own claims. Some analyses suggest a large share of AI citations point to external sources rather than a brand’s own site. llemmy

• Own a narrow category

A small site that is the source for “Baltimore maritime policy news” or “mid-market battery recycling regulation” has a better chance than a generic news site competing everywhere.

A practical strategy for a niche news publisher is to track 20–50 high-value prompts monthly, identify which publications AI cites instead of you, then deliberately create the missing source material (original datasets, interviews, explainers, timelines, local reporting). AI citation is becoming closer to digital PR than traditional SEO. conductor.com

If you tell me your niche (e.g., local politics, biotech, sports, finance, industry news), I can suggest the exact kinds of articles that tend to get picked up by AI systems.

If your goal is specifically “Which domains are AI answer engines citing when shoppers ask product/category questions?”, I’d look at an AI visibility / GEO platform, not traditional SEO rank tracking.

My picks

1. tryprofound.com — best for citation-domain research

• Tracks citations across ChatGPT, Perplexity, Google AI Overviews and other answer engines.
• Gives you Top Citation Domains, Top Citation Pages, citation share, competitors, topics, prompts, and platforms. Profound Profound Knowledge Base
• Particularly useful if your question is: “For ‘best running shoes for X’ queries, what domains does AI consistently cite?”
• You can also segment citation sources into owned, competitors, earned media, social, institutions, etc. Profound Knowledge Base
• Profound also has SKU-level analysis for ChatGPT Shopping, which makes it interesting for an online store. Profound
• peec.ai — probably the strongest alternative for ecommerce

• Explicitly tracks the URLs and domains AI engines use and cite.
• Covers ChatGPT, Google AI Mode/Overviews, Gemini, Perplexity, Copilot and others. Peec
• Its source-gap analysis is especially useful: you can identify domains that cite your competitors but don't cite you. Peec
• It also has dedicated AI Shopping Analytics, including product visibility, win rate, position, quoted price and product attributes. Peec
• ahrefs.com — good if you already use Ahrefs

• Its Brand Radar distinguishes between pages that are actually cited and pages that AI merely retrieved/found. That's an important distinction for this use case. Ahrefs Help Center
• I'd choose it if you want AI citation data integrated with your existing SEO workflow rather than building a dedicated GEO stack.

What I'd actually build for an online store

Don't just track your domain's citations. Build a dataset like:

Then aggregate it into:

• Top cited domains by product category
• Top cited domains by AI engine
• Domains citing competitors but not you
• Your citation share vs. competitors
• Most-cited individual URLs
• Citation trends over time
• Commercial/transactional prompts specifically
• Product-level visibility and recommendation position

That last point matters: Peec's research specifically recommends separating commercial and transactional prompts, since those are much more relevant to product consideration and purchase intent. Peec

My recommendation

For an ecommerce store, I'd start with Peec AI if product-level/AI-shopping analytics is the priority, and Profound if your primary job is understanding the broader citation ecosystem and deciding which domains you need to get mentioned on.

If you're trying to answer something like “For my 500 most valuable product queries, what are the 100 domains AI trusts most, and where are my citation gaps?”, I'd lean Profound or Peec rather than Ahrefs. Both are much closer to that exact workflow. Profound Knowledge Base Peec

If you mean “which parts of my website are being surfaced, quoted, or cited by AI answer engines (ChatGPT, Perplexity, Google AI Overviews, Claude, Bing Copilot, etc.)?”, the category is usually called AI visibility / AI search analytics / LLM citation tracking.

Tools that can help:

For specific paragraphs or snippets, rather than just “your site was cited,” the capabilities are more limited. The strongest approaches are usually:

1. Citation extraction
   • Run a set of target prompts in AI engines.
   • Capture answers and cited URLs.
   • Compare cited pages against your HTML/text to find the referenced passages.

2. Content-level instrumentation
   • Add unique phrases or “fingerprints” to important sections (for testing).
   • Monitor whether those phrases appear in AI outputs.

3. Log-based analysis
   • Analyze server logs for AI crawler activity (e.g., GPTBot, ClaudeBot, Google-Extended).
   • Note: crawler visits do not prove that a snippet was used in answers.

4. Search Console + AI visibility tools
   • Combine traditional search queries with AI citation tracking.

If your goal is specifically “show me the exact sentences from my pages that ChatGPT/Perplexity are quoting”, I’d look first at tools like Profound, Peec AI, or Otterly.ai, then supplement with your own prompt testing because exact snippet-level attribution is still an emerging capability and many AI systems do not expose it.

Yes. What you’re looking for is slightly more specific than an “AI visibility tracker”: you want query → AI answer → cited URL → your content/page attribution, ideally with the exact prompt that caused the citation.

Best options

• otterly.ai — best match for your use case. It runs your tracked prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, then records the URLs cited in the answers. Its citation details can drill down from a cited URL to the prompts where that URL was cited and the exact AI answer. Otterly Otterly AI

Path: query → AI response → cited URL → prompt(s) → exact answer

• tryprofound.com — best for enterprise-scale research. Good if you want lots of prompts, competitors, markets, and systematic monitoring rather than just investigating individual citations. Current comparisons put it toward the enterprise end of the market. Meridian15 DataDab
• peec.ai — good analytics-oriented alternative. Particularly useful if you want prompt tracking and competitive AI-search visibility reporting rather than a forensic citation trail.
• citability.dev — interesting if you care about evidence rather than just scores. Its stated differentiator is live-tested citation data with inspectable raw responses, rather than relying solely on an aggregate “AI visibility” score. Citability

My pick

For exactly what you described, I'd start with OtterlyAI. The important feature isn't merely “your brand was mentioned”; it's that you can investigate which page was cited, for which prompt, and then open the underlying answer. Otterly AI

One caveat: these systems generally re-run a controlled set of prompts rather than observing every query real users make in ChatGPT. Results can therefore differ from what an individual user sees because AI search experiences can personalize results based on factors such as location and history. Otterly

If your real goal is “I have 500 articles/pages—show me exactly which user queries cause each page to get cited by ChatGPT/Perplexity/Gemini”, I can narrow this down to the 2–3 tools that provide the deepest query → citation → URL → answer trail.

Yes. If your goal is specifically aggregating citations across AI assistants into an AI share-of-voice report for a SaaS marketing team, I’d shortlist these:

• peec.ai — probably the best fit for a SaaS marketing team. It tracks visibility, position, sentiment, and share of voice, and identifies the sources most frequently cited for your prompts. It covers ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode. Peec AI
• tryprofound.com — stronger choice if you're an enterprise marketing org wanting deeper citation intelligence and reporting.
• citationbench.com — particularly interesting if you want API-accessible citation/SOV data that your team can pipe into its own reporting stack. It explicitly supports ChatGPT, Claude, and Perplexity and has multi-workspace reporting for agencies. CitationBench
• cite.watch — worth looking at if you care about the actual cited URLs as much as brand mentions. It tracks citations across ChatGPT, Gemini, Perplexity, Claude, and Copilot and provides per-assistant breakdowns. CiteWatch
• citationradar.ai — focused specifically on competitor citation/SOV analysis across ChatGPT, Perplexity, Gemini, Claude, and Grok. Citation Radar

What I'd choose for your use case

If your reporting question is:

“Across the AI assistants our prospects use, what percentage of relevant answers cite or recommend us versus our competitors, and which sources are driving that?”

I'd start with Peec AI or Profound.

If you want to build the reporting layer yourself—e.g. pull data into Looker/Tableau/BigQuery and calculate your own weighted AI SOV—I'd investigate CitationBench first because its API is explicitly designed around AI citation and SOV data. CitationBench

One important distinction: brand mention SOV ≠ citation SOV. For SaaS marketing, I'd report both:

• Mention SOV — how often the AI names your company.
• Citation SOV — how often your domain/content is actually cited.
• Citation share by source — which publications, review sites, Reddit, etc. are feeding the answers.
• Assistant-level SOV — ChatGPT vs Claude vs Gemini vs Perplexity, rather than hiding everything in one aggregate number.
• Competitor displacement — prompts where a competitor is cited/recommended but you aren't.

That's becoming particularly important because citation patterns can move substantially between assistants and over time; recent analysis, for example, found Reddit's share of ChatGPT citations changing materially within just a few weeks. Axios

If you tell me your SaaS category and roughly how many prompts/competitors you want to track, I can narrow this to the 2–3 tools I'd actually buy, including API/reporting capabilities and likely pricing.

• Mention SOV — how often the AI names your company.
• Citation SOV — how often your domain/content is actually cited.
• Citation share by source — which publications, review sites, Reddit, etc. are feeding the answers.
• Assistant-level SOV — ChatGPT vs Claude vs Gemini vs Perplexity, rather than hiding everything in one aggregate number.
• Competitor displacement — prompts where a competitor is cited/recommended but you aren't.

That's becoming particularly important because citation patterns can move substantially between assistants and over time; recent analysis, for example, found Reddit's share of ChatGPT citations changing materially within just a few weeks.

If your goal is specifically “show me the exact prompts/questions that cause ChatGPT, Perplexity, Gemini, etc. to cite my how-to pages”, I’d shortlist these:

1. peec.ai — best fit for your use case

• Tracks the specific prompts you care about and the URLs cited in each answer.
• Its Query Fanouts feature is particularly interesting: it exposes related/background searches an AI performs while answering a prompt, including their frequency. Peec AI
• You can see which sources are most frequently cited for particular prompts and compare yourself with competitors. Peec AI
• This is the one I'd test first if you have a library of how-to guides and want to answer: “Which questions make AI retrieve/cite this particular URL?”
• tryprofound.com — best for deep citation intelligence

• Tracks which answer engines cite your content, how often, and across which prompts.
• It also categorizes cited sources and identifies the publishers/authors driving citations in a topic. Profound
• Profound says it can use real-world user queries rather than relying solely on manually constructed prompts. Profound
• I'd lean toward this if you're running a serious content/GEO operation rather than just monitoring a handful of guides.
• otterly.ai — best value/accessible starting point

• Tracks prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude.
• Its prompt-level reporting shows exact prompt → response → citations, including domain and URL citations. Otterly Otterly AI
• It also has prompt research that can generate relevant AI-search prompts from a keyword, brand, or URL. Otterly

The important distinction

There are actually two different things you might mean by “exact queries”:

A. User prompts

“How do I migrate a WordPress site to a new domain?”

You want to know whether your /guides/migrate-wordpress/ page gets cited when someone asks that.

B. AI retrieval/fanout queries

The user asks:

“How do I migrate a WordPress site?”

The model may internally/retrieval-wise expand that into searches around:

WordPress domain migration steps
WordPress change site URL
redirect old domain to new domain
preserve SEO during WordPress migration

If B is what you're after, Peec AI is particularly compelling because its Query Fanouts feature explicitly surfaces these background searches for ChatGPT, Perplexity and Copilot. Peec AI

My pick for a how-to-guide publisher

I'd rank them:

One caveat: no tool can literally tell you the single “exact query” that caused a model to cite a page with perfect causal certainty. AI search is dynamic, personalized, and often involves multiple retrieval steps. The tools above are better thought of as experimentally reconstructing the relationship between prompt → AI answer → retrieved/cited URL, with Peec going further into the intermediate fanout searches. Otterly itself notes that manual AI searches can differ from its monitored results because AI platforms personalize responses. Otterly

If you give me your site/URL, I can also compare these tools specifically for your situation—e.g. which one is best for discovering new, previously unknown prompts that are already leading AI to cite individual how-to articles, rather than merely tracking a prompt list you supply.

If your specific goal is “show me the exact AI queries/prompts for which my how-to guide gets cited, and which URL gets cited”, I’d shortlist these:

My pick: Peec AI

There's an important distinction here.

If you want to know:

“Which questions cause AI to cite my guide?”

all three can do that.

But if you also want to understand:

“What searches did the AI perform behind that question before it found my guide?”

Peec is unusually interesting. Its Query Fanouts feature exposes the related/background searches used while an AI answer is being composed, including occurrence counts, and lets you analyze them by prompt or topic. peec.ai

For how-to content, I'd set it up roughly like:

Guide: /how-to-migrate-wordpress-to-shopify/

Tracked prompts:

• “How do I migrate WordPress to Shopify?”
• “What is the easiest way to move a WordPress site to Shopify?”
• “How can I migrate WordPress to Shopify without losing SEO?”
• “Step-by-step WordPress to Shopify migration”
• “What should I do before migrating WordPress to Shopify?”
• “How do I preserve URLs when moving WordPress to Shopify?”

Then look at prompt → AI answer → cited URL → citation frequency → underlying fanout queries.

That's considerably more useful than simply knowing that your domain has an “AI visibility score.”

One caveat: no third-party tool can tell you the literal private prompt of an individual ChatGPT user who happened to encounter your article. These platforms monitor controlled/tracked prompts and, in some cases, datasets of real-world queries or search/fanout data. Profound, for example, says it combines custom prompts with real-world query data. www.tryprofound.com

Bottom line:

• Deepest query/citation investigation: Peec
• Enterprise-grade research: Profound
• Straightforward monitoring on a budget: Otterly

If you're specifically trying to discover the queries you aren't currently tracking that could cause AI to cite each of your existing how-to guides, that's a slightly different problem—and I'd choose the tooling differently.