# Best ChatGPT Visibility Tools in 2026

Five ChatGPT visibility tools compared on how they capture ChatGPT answers, the prompt controls each plan gives you and what really drives the bill, with a pick for each team.

ChatGPT visibility tools run your buyers' prompts through ChatGPT and report how often your brand is named and which pages get cited. They do not all see the same ChatGPT, and that difference decides which of their numbers you can trust.

- Best ChatGPT visibility tool for most in-house teams is Peec AI, which scrapes the real ChatGPT interface daily.
- Profound suits enterprise brands needing ChatGPT prompt volumes and ChatGPT Shopping visibility.
- Scrunch fits teams tracking ChatGPT by buyer persona, now as a Sitecore company.
- Rankscale suits analysts tuning run frequency and reading ChatGPT query fan-out, paid in credits.
- LLMrefs suits keyword-led SEO teams that accept a weekly refresh.

These picks apply when ChatGPT is the engine that matters most and your team will track a fixed prompt set over months rather than run one-off audits. One caveat holds for every tool here. ChatGPT rarely repeats the same brand list, so any tool's figures need many prompts and repeated runs before they mean anything.

## Best ChatGPT Visibility Tools Comparison Table

The best ChatGPT visibility tools for most in-house teams are Peec AI, Profound, Scrunch, Rankscale and LLMrefs, and they differ most in how they capture ChatGPT answers and what they charge you per tracked prompt. All five belong to the same category of [AI search visibility](https://growthtribune.com/search-ai-visibility/ai-search-visibility/) software, so the table compares like with like.

Read the table by its first two typed columns. Answer capture tells you which version of ChatGPT the tool is looking at. Tracking unit tells you what you are paying for and what will grow the bill.

| Tool | Pricing model | Answer Capture | Tracking Unit | Stand-Out ChatGPT Feature | Best For |
| --- | --- | --- | --- | --- | --- |
| Peec AI | Paid | UI scraping | Prompts times chosen models | Source gap analysis | In-house SEO teams |
| Profound | Quote only | Consumer browser capture | Tailored enterprise prompt plan | Real user prompt volumes | Enterprise brands |
| Scrunch | Paid | Browser automation plus APIs | Custom plus industry prompts | Persona-based prompts | Persona-led marketing teams |
| Rankscale | Paid | Scheduled answer snapshots | Credits per engine run | ChatGPT query fan-out | Frequency-tuning analysts |
| LLMrefs | Paid | Aggregated keyword prompt checks | Keywords expanded into prompts | Automatic fan-out prompts | Keyword-led SEO teams |

The order is the ranking. Peec AI leads because it documents interface capture and a clear daily unit. LLMrefs sits fifth because it refreshes each keyword at least once a week and tracks prompts it generates, not wording you fix yourself.

## How These ChatGPT Visibility Tools Were Chosen

Each tool here had to run ChatGPT prompts on a schedule, report brand mentions and cited sources per prompt, and document both its plan limits and how it captures answers, a bar five of 21 commonly listed trackers met. Many trackers clear the first two tests. Far fewer say in writing how they collect ChatGPT answers.

The inclusion bar had four parts:

- **Scheduled ChatGPT runs:** The tool runs a saved prompt or keyword set against ChatGPT on a fixed cadence, not only on demand.
- **Prompt-level reporting:** It reports whether the brand was mentioned and which sources were cited, prompt by prompt.
- **Documented plan limits:** Its pricing or help pages say how many prompts, models, personas or credits each plan includes.
- **Stated collection method:** Its own pages describe how answers are gathered, from the interface, a browser, an API or scheduled checks.

The judgements rest on vendor documentation, pricing pages and independent reviews. One limit applies throughout. Collection methods are what each vendor reports about itself, and no vendor's method has been independently audited.

This shortlist judges tools for ChatGPT alone. If you need one platform across every AI engine, the comparison of [broader AI visibility platforms](https://growthtribune.com/best-ai-visibility-platforms/) covers that job.

Two widely listed trackers were considered and left out:

**Considered, not included**

| Tool | Why it is not on this list |
| --- | --- |
| Otterly.AI | Priced by prompt count and refresh cadence, aimed at entry budgets |
| Semrush AI Toolkit | Bundled into a wider SEO suite, not a standalone ChatGPT tracker |

## How Do ChatGPT Visibility Tools Collect Data?

ChatGPT visibility tools that query the OpenAI API see a different ChatGPT from the one buyers use. In [Surfer's 1,000-prompt study, the API named 13.8 brands per answer against 7.9 in the interface](https://surfer.ai/blog/llm-scraped-ai-answers-vs-api-results/), and the two shared 4.8% of cited domains. So the collection channel changes which brands and sources a tool reports.

There are two ways to collect a ChatGPT answer:

- **Interface capture:** The tool scrapes or automates the ChatGPT web interface, so it sees the product buyers use, including the search step and citations.
- **API calls:** The tool sends the prompt to an OpenAI model through the API, which is not the product buyers use.

Surfer's study ran 1,000 prompts through each channel. The ChatGPT API cited 3.1 sources per answer against 12.1 in the interface, and wrote 2.05 times as many words as the interface shows users. The API searched the web on 83% of prompts against 88% in the interface. Two caveats travel with these figures. Surfer sells interface-based tracking, and the study used one sample per prompt.

A second, independent study points the same way. Researchers at the University of Hamburg and the Leibniz Institute for Media Research analysed more than 24,000 ChatGPT answers to news questions, and [welt.de and bild.de made up about 13% of interface references but 2% of API citations](https://the-decoder.com/chatgpts-news-picks-swing-wildly-depending-on-whether-you-use-the-web-interface-or-the-api/). The interface's source list overlapped 45.5% with top German media against 27.3% for the API, and the differences were statistically significant.

Even the interface has no single true answer. OpenAI says [ChatGPT search rewrites queries before sending them, may use saved memories when rewriting, and may use an approximate location from the IP address](https://help-lb.openai.com/en/articles/9237897-searching-the-web-with-chatgpt). So the answer one ChatGPT session gets can differ from the answer each of your buyers sees.

Here is what each tool states about its own channel:

- **Peec AI:** States it uses UI scraping rather than APIs for most tracked engines, simulating real user interactions in the web interface.
- **Profound:** States it captures responses directly from the consumer browsing experience rather than from model APIs.
- **Scrunch:** States it gathers prompt data through browser automation and official platform APIs.
- **Rankscale:** States its ChatGPT tracker runs selected prompts on a schedule and captures answer snapshots, mentions and cited domains.
- **LLMrefs:** States it aggregates and weights results across fan-out prompts generated for each keyword.

> **Warning:** Collection claims are vendor-reported, and the main study behind the interface-versus-API gap comes from Surfer, a vendor that sells interface tracking. Vendor comparison pages are self-interested too. Peec AI's page on Profound, for example, is one rival describing another. Before you buy, ask each vendor for raw ChatGPT answer snapshots for your own prompts and check them against what you see in ChatGPT.

## Peec AI

**Verdict:** Peec AI is the strongest default for in-house teams tracking ChatGPT, because it captures answers by scraping the ChatGPT interface rather than calling the API and records each prompt per model, per location, every day. One prompt, one model, one location and one day make a unit that is easy to reason about.

**ChatGPT answer capture:** Peec AI says it uses UI scraping, not API polling, for most tracked engines, with infrastructure in every supported country. One chat is one prompt run against one AI model from one geographic location on a given day.

**Prompt controls:** Brand plans set the prompt count and include three models each, with daily tracking and unlimited users:

- **Starter:** 50 prompts, 1 project.
- **Pro:** 150 prompts, 2 projects.
- **Advanced:** 350 prompts, 5 projects, plus multi-country tracking and a Looker Studio integration.
- **Enterprise:** Custom prompt counts, all models, daily or weekly tracking and SSO.

ChatGPT is one of the models a brand plan can choose.

**Stand-out feature:** Peec AI publishes plain metric definitions. Visibility is the share of AI responses that mention the brand, Position is the average rank when it appears, and Sentiment is scored 0 to 100. Its Sources view lists every URL a model accessed, and a Gap Analysis shows sources that cite competitors but not you. Data leaves through CSV, Looker Studio or the Peec AI MCP Server.

**Pricing:** The current Peec AI plans are below.

**Peec AI pricing**

| Plan | Price | Billing | Notes |
| --- | --- | --- | --- |
| Starter | $95 | per month |  |
| Pro | $245 | per month |  |
| Advanced | $495 | per month |  |
| Enterprise | Custom pricing | per custom |  |

**Real cost to run:** The bill is prompts times models. Each additional model is an annual add-on priced on the plan's prompt count, while extra countries and languages cost nothing. A team that only cares about ChatGPT gets the most from the base plan.

**Best fit:** In-house SEO and content teams who want interface-based ChatGPT data refreshed daily, a fixed prompt list and metrics they can explain to a head of marketing. Teams comparing it closely with its nearest rival can read [Profound and Peec AI compared](https://growthtribune.com/profound-vs-peec-ai-which-fits-your-team/) on evidence and cost.

**Limitation:** ChatGPT takes one of only three model slots on brand plans. Adding Perplexity or Copilot alongside ChatGPT and Google's engines means paying for extra models, so the bill rises as soon as coverage widens.

## Profound

**Verdict:** Profound suits enterprise brands that need to see what people ask ChatGPT as well as how ChatGPT answers, pairing browser-captured answers with a prompt-volume dataset built from hundreds of millions of consented user conversations. It is built for enterprise budgets and procurement, not for a quick self-serve start.

**ChatGPT answer capture:** Profound states it captures AI responses directly from the consumer browsing experience rather than from model APIs, to reflect what consumers actually see.

**Prompt controls:** The self-serve trial plan runs 50 unique prompts daily on ChatGPT, Gemini and Google AI Overviews, in one language and region, without ChatGPT Shopping. Enterprise is a tailored package with:

- up to nine answer engines, including ChatGPT
- daily frequency
- custom languages and regions
- ChatGPT Shopping
- CSV and JSON exports and API access

**Stand-out feature:** Conversation Explorer, also called Prompt Volumes, draws on a dataset of hundreds of millions of real, consented user conversations updated weekly. It shows what people ask answer engines, so you can choose prompts by demand rather than guesswork. Prompt Volumes became generally available to enterprise customers in June 2025. Profound also sells Agent Analytics for monitoring AI crawler behaviour, a Shopping product for how products surface in AI shopping conversations, and Agents for content creation.

**Pricing:** The current Profound plans are below.

**Profound pricing**

| Plan | Price | Billing | Notes |
| --- | --- | --- | --- |
| Agency Enterprise (agency tab) | Custom pricing | per custom |  |
| Agency Growth (agency tab) | Custom pricing | per custom |  |
| Enterprise | Custom pricing | per custom |  |
| Trial | Custom pricing | per custom |  |

**Real cost to run:** Enterprise is a tailored package, so the cost depends on the engines, prompts, languages and regions you negotiate. On the agency side, Agency Growth is billed in credits, with 400 credits per month per client workspace.

**Best fit:** Enterprise brands with a dedicated AI search or AEO owner who will use demand data to pick prompts, and retailers that need ChatGPT Shopping in the same view as organic answers.

**Limitation:** ChatGPT Shopping and API access sit on Enterprise. A brand team that wants to start small gets the trial's three engines and fixed prompt count only, with no Shopping data.

## Scrunch

**Verdict:** Scrunch, a Sitecore company since June 2026, fits teams that want ChatGPT visibility split by buyer persona, since it can generate prompts from personas defined by role and geography. Sitecore announced the acquisition on 3 June 2026, and the product keeps the Scrunch name and connects to Sitecore workflows.

**ChatGPT answer capture:** Scrunch states it gathers prompt data through browser automation and official platform APIs, and tracks eight AI platforms at once, ChatGPT included.

**Prompt controls:** Each plan pairs your own custom prompts with a library of industry prompts:

- **Starter:** 350 custom and 1,000 industry prompts, 3 personas, 3 user licences, 5 page audits.
- **Growth:** 700 custom and 2,500 industry prompts, 5 personas, 5 user licences, 10 page audits.
- **Enterprise:** SAML or OIDC SSO and expanded limits.

All plans cover ChatGPT alongside the other major engines.

**Stand-out feature:** Personas. You define customer personas by characteristics and geography, then auto-generate prompts from them or tag existing prompts by persona for filtering. Scrunch also offers an Agent Experience Platform (AXP), which generates an AI-friendly version of your site for AI agents.

**Pricing:** The current Scrunch plans are below.

**Scrunch pricing**

| Plan | Price | Billing | Notes |
| --- | --- | --- | --- |
| Starter | $300 | per month |  |
| Growth | $500 | per month |  |
| Enterprise | Custom pricing | per custom |  |

**Real cost to run:** Seats are the hidden driver. Each plan includes a fixed number of user licences, one extra seat costs $25 per month on any plan, and Starter can add up to five extra seats for $75 per month. A wide marketing team pays for access as well as tracking.

**Best fit:** Marketing teams that sell to several distinct buyer types and want ChatGPT visibility reported per persona, and teams already working in Sitecore.

**Limitation:** On G2's comparison of Peec AI, Profound and Scrunch, Scrunch reviewers most often praise ease of use and insights, while data limitations and platform limitations are the recurring complaint themes. Its mixed browser and API collection also makes its ChatGPT figures harder to compare with interface-only tools.

## Rankscale

**Verdict:** Rankscale suits analysts who want to tune how often ChatGPT prompts run, from hourly to monthly, and to see the internal web searches ChatGPT issues before it answers. It rewards a user who plans credit spend carefully.

**ChatGPT answer capture:** Rankscale's ChatGPT tracker runs selected prompts on a schedule and captures answer snapshots, brand mentions, cited domains, AI Citation Share and Prompt Share.

**Prompt controls:** Search terms are unlimited, run frequency is configurable from hourly to monthly, and all regions are available on all plans. From Pro up, the engines include ChatGPT alongside the other major assistants, and team workspaces come with unlimited seats.

**Stand-out feature:** Query Fanout extracts the internal web searches ChatGPT runs behind an answer and reports the domains probed, wins and losses, and coverage trends. That shows which searches you need to win, not only whether you were named.

**Pricing:** The current Rankscale plans are below.

**Rankscale pricing**

| Plan | Price | Billing | Notes |
| --- | --- | --- | --- |
| Essentials | $17 | per month, billed annually |  |
| Pro | $99 | per month |  |
| Pro+ | $229 | per month |  |
| Growth | $385 | per month |  |
| Enterprise | $780 | per month |  |
| Custom Plan | Custom pricing | per custom |  |

**Real cost to run:** Rankscale bills in credits. A typical run costs 0.25 credits per engine per prompt, some engines cost more, and top-ups are sold in the app. Monthly credit pools by plan:

- **Essentials:** 120 credits
- **Pro:** 1,200 credits
- **Pro+:** 3,000 credits
- **Growth:** 5,500 credits
- **Enterprise:** 12,000 credits

Frequency times engines times prompts sets spend. At 0.25 credits, 100 prompts run daily on ChatGPT alone use about 750 credits a month, inside Pro's pool. Add a second engine at the same rate and the same set needs about 1,500 credits.

**Best fit:** SEO analysts and technical marketers who want to sample high-value prompts more often than daily and study ChatGPT's fan-out searches.

**Limitation:** An independent review by FeedTheBot in December 2025 found the credit model needs careful usage planning, and described a technical entry barrier and a desktop-first interface.

## LLMrefs

**Verdict:** LLMrefs fits SEO teams that plan in keywords, because it turns each tracked keyword into fan-out prompts drawn from real AI conversations and reports ChatGPT share of voice per keyword. It takes keywords rather than prompt lists.

**ChatGPT answer capture:** LLMrefs aggregates and weights results across the prompts it generates for each keyword, rather than reporting one prompt at a time.

**Prompt controls:** You enter keywords, not prompts. LLMrefs generates the fan-out prompts automatically, so there is no prompt list to write or maintain.

**Stand-out feature:** Brands are ranked by share of voice and position for each keyword, with filterable source URLs, which maps neatly onto an existing keyword plan.

**Pricing:** The current LLMrefs plans are below.

**LLMrefs pricing**

| Plan | Price | Billing | Notes |
| --- | --- | --- | --- |
| All in One | $79 | per month |  |

**Real cost to run:** The paid plan covers 500 prompts for brand mentions, sources and fan-out queries, with ChatGPT and the other major engines at no extra cost, plus unlimited team members and projects. Adding engines or colleagues does not raise the bill.

**Best fit:** Keyword-led SEO teams that want ChatGPT visibility next to their search reporting without building a prompt programme.

**Limitation:** LLMrefs updates every keyword at least once a week, which is slow for a fast-moving launch. Generated prompts also give less control over the exact wording you track.

## How Many Prompts Should You Track In ChatGPT And How Often?

A ChatGPT visibility number only becomes stable when each prompt is run many times, and SparkToro's Rand Fishkin suggests at least 60 to 100 runs per prompt, averaged, rather than one daily snapshot. So track fewer, well-chosen prompts and repeat them, instead of spreading thin across hundreds of single runs.

The rule follows from how rarely ChatGPT repeats itself. Fishkin's advice is to average many runs and report visibility across many prompts, because any one answer is a draw from a wide range.

Each tool's unit decides how fast you reach 60 to 100 runs:

- **Peec AI:** One run per prompt, per model, per location, per day. One location gives about 30 ChatGPT runs a month, so two to three months of history before a single prompt's figure settles.
- **Rankscale:** Frequency is yours to set, down to hourly, so you can reach 100 runs in days. Each run costs credits per engine, so sample your highest-value prompts often and the rest less.
- **LLMrefs:** Updates weekly per keyword but pools results across many generated prompts, which steadies the keyword-level figure faster than the prompt-level one.
- **Scrunch:** Starter allows 350 custom prompts and Growth 700, plus industry prompts, so a team can keep a small core set for repeated runs and still track a wide list.

A practical build for a prompt list is in the guide to building a [prompt tracking list](https://growthtribune.com/how-to-build-an-ai-search-prompt-tracking-list/). The short version:

- [ ] Start from real buyer questions, grouped by intent and product line
- [ ] Keep a core set small enough to run repeatedly within your plan
- [ ] Fix the wording, location and language, and change them only on purpose
- [ ] Decide the run frequency per group, more often for high-value prompts
- [ ] Wait for enough runs before reporting a prompt-level trend
- [ ] Review the list each quarter and retire prompts no buyer asks

## What ChatGPT Visibility Metrics Should You Trust?

Ranking position in ChatGPT is a weak metric, because [SparkToro found under a 1 in 100 chance that ChatGPT returns the same brand list twice](https://sparktoro.com/blog/new-research-ais-are-highly-inconsistent-when-recommending-brands-or-products-marketers-should-take-care-when-tracking-ai-visibility/), so mention rate across many runs is the number to report. Treat average position as directional at best, and a single rank as noise.

In that study, 600 volunteers ran 12 prompts through ChatGPT, Claude and Google's AI a combined 2,961 times. The chance of the same list in the same order was about 1 in 1,000. Yet some brands still showed up reliably. City of Hope appeared in 69 of 71 ChatGPT answers, 97%, but was the top mention in only 25 of them. Presence was stable even though position was not.

Fishkin calls visibility percentage across many prompts and runs a reasonable metric, and says a single ranking position in AI is not meaningful. SparkToro sells audience research, not AI tracking, so it has no product riding on the answer.

Match each vendor's metrics to that rule:

- **Peec AI:** Visibility is the share of responses that mention the brand, the metric to lead with. Position is an average rank, so read it as a trend. Sentiment is a 0 to 100 score.
- **Rankscale:** Reports AI Citation Share and Prompt Share, alongside the brand mentions and cited domains in each answer snapshot.
- **LLMrefs:** Ranks brands by share of voice and position for each keyword, aggregated and weighted across the fan-out prompts it generates. Pooling across many prompts follows Fishkin's advice, and position is best read as a trend.

For a workflow that keeps one row per answer and one denominator per metric, see how to [measure AI visibility without double-counting](https://growthtribune.com/how-to-measure-ai-visibility-without-double-counting/).

> **Tip:** Report mentions and citations as separate numbers. A mention means ChatGPT named your brand in the answer. A citation means it linked one of your pages as a source. A brand can be named without being cited and cited without being named, and adding the two together inflates your visibility.

## What Do ChatGPT Visibility Tools Cost To Run?

What a ChatGPT visibility tool costs to run depends on its billing unit more than its list price, since Peec AI charges by prompts and models, Rankscale by credits per engine run, and Scrunch adds paid seats beyond each plan's licences. Price the unit against your own prompt list before comparing plans.

Each unit grows with a different decision:

- **Peec AI:** Prompts times models. Every extra model is an annual add-on priced on your prompt count, while countries and languages are free. Widening engine coverage is what raises the bill.
- **Rankscale:** Credits per engine per run, at a typical 0.25 credits. Frequency, engines and prompts multiply, so hourly sampling across several engines drains a pool fast.
- **Scrunch:** Plans include fixed user licences. One extra seat is $25 per month, and Starter can add up to five for $75 per month. Team size drives the add-on cost.
- **Profound:** Enterprise is a tailored package, and agency plans run on credits per client workspace, with 400 credits per month on Agency Growth.
- **LLMrefs:** One plan with all engines, unlimited team members and unlimited projects. The 500-prompt allowance is the main limit.

**What drives the running cost**

| Tool | Billing unit | What raises the bill |
| --- | --- | --- |
| Peec AI | Prompts times models | Extra models |
| Profound | Tailored enterprise package | Engines, regions, prompts |
| Scrunch | Plan with user licences | Extra seats |
| Rankscale | Credits per engine run | Frequency and engines |
| LLMrefs | One all-engine plan | Prompt allowance |

Work out the cost of the list you will actually run, at the frequency you need to reach a stable figure. A tool with a low entry plan can cost more than a pricier one once you add the engines, seats or runs your team needs. Teams on tight budgets can compare [AI visibility tools for small budgets](https://growthtribune.com/best-ai-visibility-tools-for-small-budgets/) by the same billing units.

## Which ChatGPT Visibility Tool Should You Choose?

Choose the ChatGPT visibility tool by how you plan your work, picking Peec AI for daily interface-captured prompts, Profound for enterprise prompt-volume research, Scrunch for persona tracking, Rankscale for tunable run frequency, and LLMrefs for keyword-led tracking. Then check its billing unit against the prompt list you will run.

**In-house SEO team wanting daily interface data:** Choose Peec AI. It states it scrapes the ChatGPT interface and records each prompt per model and location every day.

- Best for: In-house SEO and content teams tracking a fixed ChatGPT prompt list daily
- Not for: Teams that need many engines at once without paying for extra models

**Enterprise brand needing demand data and Shopping:** Choose Profound. Prompt Volumes shows what people ask, and Enterprise adds ChatGPT Shopping.

- Best for: Enterprise brands choosing prompts by real demand and tracking ChatGPT Shopping
- Not for: Small teams that want a low-commitment self-serve plan

**Team segmenting by buyer persona or working in Sitecore:** Choose Scrunch. It generates prompts from personas set by role and geography.

- Best for: Marketing teams reporting ChatGPT visibility per buyer persona
- Not for: Wide teams that want every user seat included without add-on cost

**Analyst who wants control over frequency and fan-out:** Choose Rankscale. Runs go from hourly to monthly, and Query Fanout shows the searches behind an answer.

- Best for: Analysts sampling key prompts often and studying ChatGPT fan-out searches
- Not for: Teams that want a predictable bill without planning credit use

**Keyword-led SEO team without prompt lists:** Choose LLMrefs. It turns keywords into fan-out prompts and reports share of voice per keyword.

- Best for: SEO teams adding ChatGPT share of voice to keyword reporting
- Not for: Teams that need daily data or exact control of prompt wording

## Frequently Asked Questions

**Do ChatGPT ads change which brands ChatGPT recommends?**

ChatGPT ads do not change organic recommendations, according to OpenAI, which says [ads do not influence the answers ChatGPT gives and are shown only on the Free and Go tiers](https://openai.com/blog/testing-ads-in-chatgpt/). Ads appear to logged-in adults, sit visually apart from the answer, and Plus, Pro, Business, Enterprise and Education users see none, so trackers should keep ads out of organic counts.

**Can ChatGPT visibility tracking be automated?**

Yes, ChatGPT visibility tracking can be automated, and every tool here runs saved prompts on a schedule. Peec AI records each prompt per model and location every day, while Rankscale lets you set the frequency from hourly to monthly. What still needs a person is choosing the prompts and reading the trends.

**Do you need separate tracking for ChatGPT Shopping?**

You need separate tracking for ChatGPT Shopping if your products sell through AI shopping conversations, because product results are a different surface from organic answers. Among these five tools, Profound documents ChatGPT Shopping tracking, and it sits on the Enterprise package rather than the self-serve trial plan, so budget for it.

## Sources

- [Why You Cannot Track AI Visibility Through an API: 2026 Data From ChatGPT, Perplexity, Gemini, AI Mode, and AI Overviews](https://surfer.ai/blog/llm-scraped-ai-answers-vs-api-results/), surfer.ai
- [ChatGPT's news picks swing wildly depending on whether you use the web interface or the API](https://the-decoder.com/chatgpts-news-picks-swing-wildly-depending-on-whether-you-use-the-web-interface-or-the-api/), the-decoder.com
- [Searching the web with ChatGPT | OpenAI Help Center](https://help-lb.openai.com/en/articles/9237897-searching-the-web-with-chatgpt), help-lb.openai.com
- [NEW Research: AIs are highly inconsistent when recommending brands or products; marketers should take care when tracking AI visibility](https://sparktoro.com/blog/new-research-ais-are-highly-inconsistent-when-recommending-brands-or-products-marketers-should-take-care-when-tracking-ai-visibility/), sparktoro.com
- [Testing ads in ChatGPT](https://openai.com/blog/testing-ads-in-chatgpt/), openai.com

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Source: https://growthtribune.com/best-chatgpt-visibility-tools/